!  vI\      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~                                                                                       !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKL M N O P Q R S T U V W X Y Z [!#"(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None27_gogol-dataflow(The support status for this SDK version.gogol-dataflowUNKNOWN, Cloud Dataflow is unaware of this version.gogol-dataflow SUPPORTED6 This is a known version of an SDK, and is supported.gogol-dataflowSTALEI A newer version of the SDK family exists, and an update is recommended.gogol-dataflow DEPRECATEDT This version of the SDK is deprecated and will eventually be no longer supported.gogol-dataflow UNSUPPORTEDI Support for this SDK version has ended and it should no longer be used.gogol-dataflow%A type of streaming computation task.gogol-dataflow"STREAMING_COMPUTATION_TASK_UNKNOWN< The streaming computation task is unknown, or unspecified.gogol-dataflowSTREAMING_COMPUTATION_TASK_STOP; Stop processing specified streaming computation range(s). gogol-dataflow STREAMING_COMPUTATION_TASK_START< Start processing specified streaming computation range(s). gogol-dataflow*One of the standard Origins defined above. gogol-dataflowSYSTEM- Counter was created by the Dataflow system. gogol-dataflowUSER" Counter was created by the user. gogol-dataflowConfiguration for VM IPs.gogol-dataflowWORKER_IP_UNSPECIFIED/ The configuration is unknown, or unspecified.gogol-dataflowWORKER_IP_PUBLIC* Workers should have public IP addresses.gogol-dataflowWORKER_IP_PRIVATE+ Workers should have private IP addresses.gogol-dataflowAExecutions stage states allow the same set of values as JobState.gogol-dataflowJOB_STATE_UNKNOWN& The job's run state isn't specified.gogol-dataflowJOB_STATE_STOPPEDH `JOB_STATE_STOPPED` indicates that the job has not yet started to run.gogol-dataflowJOB_STATE_RUNNINGB `JOB_STATE_RUNNING` indicates that the job is currently running.gogol-dataflowJOB_STATE_DONE1 `JOB_STATE_DONE` indicates that the job has successfully completed. This is a terminal job state. This state may be set by the Cloud Dataflow service, as a transition from `JOB_STATE_RUNNING`. It may also be set via a Cloud Dataflow `UpdateJob` call, if the job has not yet reached a terminal state.gogol-dataflowJOB_STATE_FAILED `JOB_STATE_FAILED` indicates that the job has failed. This is a terminal job state. This state may only be set by the Cloud Dataflow service, and only as a transition from `JOB_STATE_RUNNING`.gogol-dataflowJOB_STATE_CANCELLED `JOB_STATE_CANCELLED` indicates that the job has been explicitly cancelled. This is a terminal job state. This state may only be set via a Cloud Dataflow `UpdateJob` call, and only if the job has not yet reached another terminal state.gogol-dataflowJOB_STATE_UPDATED4 `JOB_STATE_UPDATED` indicates that the job was successfully updated, meaning that this job was stopped and another job was started, inheriting state from this one. This is a terminal job state. This state may only be set by the Cloud Dataflow service, and only as a transition from `JOB_STATE_RUNNING`.gogol-dataflowJOB_STATE_DRAINING `JOB_STATE_DRAINING` indicates that the job is in the process of draining. A draining job has stopped pulling from its input sources and is processing any data that remains in-flight. This state may be set via a Cloud Dataflow `UpdateJob` call, but only as a transition from `JOB_STATE_RUNNING`. Jobs that are draining may only transition to `JOB_STATE_DRAINED`, `JOB_STATE_CANCELLED`, or `JOB_STATE_FAILED`.gogol-dataflowJOB_STATE_DRAINEDV `JOB_STATE_DRAINED` indicates that the job has been drained. A drained job terminated by stopping pulling from its input sources and processing any data that remained in-flight when draining was requested. This state is a terminal state, may only be set by the Cloud Dataflow service, and only as a transition from `JOB_STATE_DRAINING`.gogol-dataflowJOB_STATE_PENDING `JOB_STATE_PENDING` indicates that the job has been created but is not yet running. Jobs that are pending may only transition to `JOB_STATE_RUNNING`, or `JOB_STATE_FAILED`.gogol-dataflowJOB_STATE_CANCELLING `JOB_STATE_CANCELLING` indicates that the job has been explicitly cancelled and is in the process of stopping. Jobs that are cancelling may only transition to `JOB_STATE_CANCELLED` or `JOB_STATE_FAILED`.gogol-dataflowJOB_STATE_QUEUED `JOB_STATE_QUEUED` indicates that the job has been created but is being delayed until launch. Jobs that are queued may only transition to `JOB_STATE_PENDING` or `JOB_STATE_CANCELLED`.gogol-dataflowThe event being reported.gogol-dataflow UNKNOWN_EVENT Invalid event. gogol-dataflowOS_START The time the VM started.!gogol-dataflowCONTAINER_STARTv Our container code starts running. Multiple containers could be distinguished with WorkerMessage.labels if desired."gogol-dataflow NETWORK_UP: The worker has a functional external network connection.#gogol-dataflowSTAGING_FILES_DOWNLOAD_START$ Started downloading staging files.$gogol-dataflowSTAGING_FILES_DOWNLOAD_FINISH) Finished downloading all staging files.%gogol-dataflowSDK_INSTALL_STARTG For applicable SDKs, started installation of SDK and worker packages.&gogol-dataflowSDK_INSTALL_FINISH Finished installing SDK.'gogol-dataflow`The job's requested state. `UpdateJob` may be used to switch between the `JOB_STATE_STOPPED` and `JOB_STATE_RUNNING` states, by setting requested_state. `UpdateJob` may also be used to directly set a job's requested state to `JOB_STATE_CANCELLED` or `JOB_STATE_DONE`, irrevocably terminating the job if it has not already reached a terminal state.(gogol-dataflowJOB_STATE_UNKNOWN& The job's run state isn't specified.)gogol-dataflowJOB_STATE_STOPPEDH `JOB_STATE_STOPPED` indicates that the job has not yet started to run.*gogol-dataflowJOB_STATE_RUNNINGB `JOB_STATE_RUNNING` indicates that the job is currently running.+gogol-dataflowJOB_STATE_DONE1 `JOB_STATE_DONE` indicates that the job has successfully completed. This is a terminal job state. This state may be set by the Cloud Dataflow service, as a transition from `JOB_STATE_RUNNING`. It may also be set via a Cloud Dataflow `UpdateJob` call, if the job has not yet reached a terminal state.,gogol-dataflowJOB_STATE_FAILED `JOB_STATE_FAILED` indicates that the job has failed. This is a terminal job state. This state may only be set by the Cloud Dataflow service, and only as a transition from `JOB_STATE_RUNNING`.-gogol-dataflowJOB_STATE_CANCELLED `JOB_STATE_CANCELLED` indicates that the job has been explicitly cancelled. This is a terminal job state. This state may only be set via a Cloud Dataflow `UpdateJob` call, and only if the job has not yet reached another terminal state..gogol-dataflowJOB_STATE_UPDATED4 `JOB_STATE_UPDATED` indicates that the job was successfully updated, meaning that this job was stopped and another job was started, inheriting state from this one. This is a terminal job state. This state may only be set by the Cloud Dataflow service, and only as a transition from `JOB_STATE_RUNNING`./gogol-dataflowJOB_STATE_DRAINING `JOB_STATE_DRAINING` indicates that the job is in the process of draining. A draining job has stopped pulling from its input sources and is processing any data that remains in-flight. This state may be set via a Cloud Dataflow `UpdateJob` call, but only as a transition from `JOB_STATE_RUNNING`. Jobs that are draining may only transition to `JOB_STATE_DRAINED`, `JOB_STATE_CANCELLED`, or `JOB_STATE_FAILED`.0gogol-dataflowJOB_STATE_DRAINEDV `JOB_STATE_DRAINED` indicates that the job has been drained. A drained job terminated by stopping pulling from its input sources and processing any data that remained in-flight when draining was requested. This state is a terminal state, may only be set by the Cloud Dataflow service, and only as a transition from `JOB_STATE_DRAINING`.1gogol-dataflowJOB_STATE_PENDING `JOB_STATE_PENDING` indicates that the job has been created but is not yet running. Jobs that are pending may only transition to `JOB_STATE_RUNNING`, or `JOB_STATE_FAILED`.2gogol-dataflowJOB_STATE_CANCELLING `JOB_STATE_CANCELLING` indicates that the job has been explicitly cancelled and is in the process of stopping. Jobs that are cancelling may only transition to `JOB_STATE_CANCELLED` or `JOB_STATE_FAILED`.3gogol-dataflowJOB_STATE_QUEUED `JOB_STATE_QUEUED` indicates that the job has been created but is being delayed until launch. Jobs that are queued may only transition to `JOB_STATE_PENDING` or `JOB_STATE_CANCELLED`.4gogol-dataflowV1 error format.5gogol-dataflow1 v1 error format6gogol-dataflow2 v2 error format7gogol-dataflow)Type of tranform this stage is executing.8gogol-dataflow UNKNOWN_KIND Unrecognized transform type.9gogol-dataflow PAR_DO_KIND ParDo transform.:gogol-dataflowGROUP_BY_KEY_KIND Group By Key transform.;gogol-dataflow FLATTEN_KIND Flatten transform.<gogol-dataflow READ_KIND Read transform.=gogol-dataflow WRITE_KIND Write transform.>gogol-dataflow CONSTANT_KIND; Constructs from a constant value, such as with Create.of.?gogol-dataflowSINGLETON_KIND+ Creates a Singleton view of a collection.@gogol-dataflow SHUFFLE_KINDF Opening or closing a shuffle session, often as part of a GroupByKey.Agogol-dataflow4What source to base the produced source on (if any).Bgogol-dataflowSOURCE_DERIVATION_MODE_UNKNOWN3 The source derivation is unknown, or unspecified.Cgogol-dataflow"SOURCE_DERIVATION_MODE_INDEPENDENT7 Produce a completely independent Source with no base.Dgogol-dataflow'SOURCE_DERIVATION_MODE_CHILD_OF_CURRENT3 Produce a Source based on the Source being split.Egogol-dataflow)SOURCE_DERIVATION_MODE_SIBLING_OF_CURRENT? Produce a Source based on the base of the Source being split.Fgogol-dataflow(The type of autoscaling event to report.Ggogol-dataflow TYPE_UNKNOWN< Default type for the enum. Value should never be returned.Hgogol-dataflowTARGET_NUM_WORKERS_CHANGED The TARGET_NUM_WORKERS_CHANGED type should be used when the target worker pool size has changed at the start of an actuation. An event should always be specified as TARGET_NUM_WORKERS_CHANGED if it reflects a change in the target_num_workers.Igogol-dataflowCURRENT_NUM_WORKERS_CHANGED The CURRENT_NUM_WORKERS_CHANGED type should be used when actual worker pool size has been changed, but the target_num_workers has not changed.Jgogol-dataflowACTUATION_FAILURE The ACTUATION_FAILURE type should be used when we want to report an error to the user indicating why the current number of workers in the pool could not be changed. Displayed in the current status and history widgets.Kgogol-dataflow NO_CHANGE Used when we want to report to the user a reason why we are not currently adjusting the number of workers. Should specify both target_num_workers, current_num_workers and a decision_message.Lgogol-dataflow%System defined Units, see above enum.Mgogol-dataflowBYTES# Counter returns a value in bytes.Ngogol-dataflow BYTES_PER_SEC. Counter returns a value in bytes per second.Ogogol-dataflow MILLISECONDS* Counter returns a value in milliseconds.Pgogol-dataflow MICROSECONDS* Counter returns a value in microseconds.Qgogol-dataflow NANOSECONDS) Counter returns a value in nanoseconds.Rgogol-dataflowTIMESTAMP_MSEC. Counter returns a timestamp in milliseconds.Sgogol-dataflowTIMESTAMP_USEC. Counter returns a timestamp in microseconds.Tgogol-dataflowTIMESTAMP_NSEC- Counter returns a timestamp in nanoseconds.Ugogol-datafloweThe current state of the job. Jobs are created in the `JOB_STATE_STOPPED` state unless otherwise specified. A job in the `JOB_STATE_RUNNING` state may asynchronously enter a terminal state. After a job has reached a terminal state, no further state updates may be made. This field may be mutated by the Cloud Dataflow service; callers cannot mutate it.Vgogol-dataflowJOB_STATE_UNKNOWN& The job's run state isn't specified.Wgogol-dataflowJOB_STATE_STOPPEDH `JOB_STATE_STOPPED` indicates that the job has not yet started to run.Xgogol-dataflowJOB_STATE_RUNNINGB `JOB_STATE_RUNNING` indicates that the job is currently running.Ygogol-dataflowJOB_STATE_DONE1 `JOB_STATE_DONE` indicates that the job has successfully completed. This is a terminal job state. This state may be set by the Cloud Dataflow service, as a transition from `JOB_STATE_RUNNING`. It may also be set via a Cloud Dataflow `UpdateJob` call, if the job has not yet reached a terminal state.Zgogol-dataflowJOB_STATE_FAILED `JOB_STATE_FAILED` indicates that the job has failed. This is a terminal job state. This state may only be set by the Cloud Dataflow service, and only as a transition from `JOB_STATE_RUNNING`.[gogol-dataflowJOB_STATE_CANCELLED `JOB_STATE_CANCELLED` indicates that the job has been explicitly cancelled. This is a terminal job state. This state may only be set via a Cloud Dataflow `UpdateJob` call, and only if the job has not yet reached another terminal state.\gogol-dataflowJOB_STATE_UPDATED4 `JOB_STATE_UPDATED` indicates that the job was successfully updated, meaning that this job was stopped and another job was started, inheriting state from this one. This is a terminal job state. This state may only be set by the Cloud Dataflow service, and only as a transition from `JOB_STATE_RUNNING`.]gogol-dataflowJOB_STATE_DRAINING `JOB_STATE_DRAINING` indicates that the job is in the process of draining. A draining job has stopped pulling from its input sources and is processing any data that remains in-flight. This state may be set via a Cloud Dataflow `UpdateJob` call, but only as a transition from `JOB_STATE_RUNNING`. Jobs that are draining may only transition to `JOB_STATE_DRAINED`, `JOB_STATE_CANCELLED`, or `JOB_STATE_FAILED`.^gogol-dataflowJOB_STATE_DRAINEDV `JOB_STATE_DRAINED` indicates that the job has been drained. A drained job terminated by stopping pulling from its input sources and processing any data that remained in-flight when draining was requested. This state is a terminal state, may only be set by the Cloud Dataflow service, and only as a transition from `JOB_STATE_DRAINING`._gogol-dataflowJOB_STATE_PENDING `JOB_STATE_PENDING` indicates that the job has been created but is not yet running. Jobs that are pending may only transition to `JOB_STATE_RUNNING`, or `JOB_STATE_FAILED`.`gogol-dataflowJOB_STATE_CANCELLING `JOB_STATE_CANCELLING` indicates that the job has been explicitly cancelled and is in the process of stopping. Jobs that are cancelling may only transition to `JOB_STATE_CANCELLED` or `JOB_STATE_FAILED`.agogol-dataflowJOB_STATE_QUEUED `JOB_STATE_QUEUED` indicates that the job has been created but is being delayed until launch. Jobs that are queued may only transition to `JOB_STATE_PENDING` or `JOB_STATE_CANCELLED`.bgogol-dataflowCounter aggregation kind.cgogol-dataflowINVALID' Counter aggregation kind was not set.dgogol-dataflowSUM8 Aggregated value is the sum of all contributed values.egogol-dataflowMAX8 Aggregated value is the max of all contributed values.fgogol-dataflowMIN8 Aggregated value is the min of all contributed values.ggogol-dataflowMEAN9 Aggregated value is the mean of all contributed values.hgogol-dataflowORJ Aggregated value represents the logical 'or' of all contributed values.igogol-dataflowANDK Aggregated value represents the logical 'and' of all contributed values.jgogol-dataflowSET9 Aggregated value is a set of unique contributed values.kgogol-dataflow DISTRIBUTION< Aggregated value captures statistics about a distribution.lgogol-dataflow LATEST_VALUE9 Aggregated value tracks the latest value of a variable.mgogol-dataflowThe default package set to install. This allows the service to select a default set of packages which are useful to worker harnesses written in a particular language.ngogol-dataflowDEFAULT_PACKAGE_SET_UNKNOWNB The default set of packages to stage is unknown, or unspecified.ogogol-dataflowDEFAULT_PACKAGE_SET_NONEd Indicates that no packages should be staged at the worker unless explicitly specified by the job.pgogol-dataflowDEFAULT_PACKAGE_SET_JAVA= Stage packages typically useful to workers written in Java.qgogol-dataflowDEFAULT_PACKAGE_SET_PYTHON? Stage pacakges typically useful to workers written in Python.rgogol-dataflow DEPRECATEDsgogol-dataflowSOURCE_DERIVATION_MODE_UNKNOWN3 The source derivation is unknown, or unspecified.tgogol-dataflow"SOURCE_DERIVATION_MODE_INDEPENDENT7 Produce a completely independent Source with no base.ugogol-dataflow'SOURCE_DERIVATION_MODE_CHILD_OF_CURRENT3 Produce a Source based on the Source being split.vgogol-dataflow)SOURCE_DERIVATION_MODE_SIBLING_OF_CURRENT? Produce a Source based on the base of the Source being split.wgogol-dataflow<Indicates whether splitting happened and produced a list of bundles. If this is USE_CURRENT_SOURCE_AS_IS, the current source should be processed "as is" without splitting. "bundles" is ignored in this case. If this is SPLITTING_HAPPENED, then "bundles" contains a list of bundles into which the source was split.xgogol-dataflowSOURCE_SPLIT_OUTCOME_UNKNOWN6 The source split outcome is unknown, or unspecified.ygogol-dataflow SOURCE_SPLIT_OUTCOME_USE_CURRENTC The current source should be processed "as is" without splitting.zgogol-dataflow'SOURCE_SPLIT_OUTCOME_SPLITTING_HAPPENED' Splitting produced a list of bundles.{gogol-dataflow Importance level of the message.|gogol-dataflowJOB_MESSAGE_IMPORTANCE_UNKNOWN8 The message importance isn't specified, or is unknown.}gogol-dataflowJOB_MESSAGE_DEBUG The message is at the 'debug' level: typically only useful for software engineers working on the code the job is running. Typically, Dataflow pipeline runners do not display log messages at this level by default.~gogol-dataflowJOB_MESSAGE_DETAILED The message is at the 'detailed' level: somewhat verbose, but potentially useful to users. Typically, Dataflow pipeline runners do not display log messages at this level by default. These messages are displayed by default in the Dataflow monitoring UI.gogol-dataflowJOB_MESSAGE_BASIC The message is at the 'basic' level: useful for keeping track of the execution of a Dataflow pipeline. Typically, Dataflow pipeline runners display log messages at this level by default, and these messages are displayed by default in the Dataflow monitoring UI.gogol-dataflowJOB_MESSAGE_WARNING The message is at the 'warning' level: indicating a condition pertaining to a job which may require human intervention. Typically, Dataflow pipeline runners display log messages at this level by default, and these messages are displayed by default in the Dataflow monitoring UI.gogol-dataflowJOB_MESSAGE_ERROR The message is at the 'error' level: indicating a condition preventing a job from succeeding. Typically, Dataflow pipeline runners display log messages at this level by default, and these messages are displayed by default in the Dataflow monitoring UI.gogol-dataflow-Portion of this counter, either key or value.gogol-dataflowALL# Counter portion has not been set.gogol-dataflowKEY Counter reports a key.gogol-dataflowVALUE Counter reports a value.gogol-dataflowType of transform.gogol-dataflow UNKNOWN_KIND Unrecognized transform type.gogol-dataflow PAR_DO_KIND ParDo transform.gogol-dataflowGROUP_BY_KEY_KIND Group By Key transform.gogol-dataflow FLATTEN_KIND Flatten transform.gogol-dataflow READ_KIND Read transform.gogol-dataflow WRITE_KIND Write transform.gogol-dataflow CONSTANT_KIND; Constructs from a constant value, such as with Create.of.gogol-dataflowSINGLETON_KIND+ Creates a Singleton view of a collection.gogol-dataflow SHUFFLE_KINDF Opening or closing a shuffle session, often as part of a GroupByKey.gogol-dataflow%The algorithm to use for autoscaling.gogol-dataflowAUTOSCALING_ALGORITHM_UNKNOWN+ The algorithm is unknown, or unspecified.gogol-dataflowAUTOSCALING_ALGORITHM_NONE Disable autoscaling.gogol-dataflowAUTOSCALING_ALGORITHM_BASIC? Increase worker count over time to reduce job execution time.gogol-dataflowSets the policy for determining when to turndown worker pool. Allowed values are: `TEARDOWN_ALWAYS`, `TEARDOWN_ON_SUCCESS`, and `TEARDOWN_NEVER`. `TEARDOWN_ALWAYS` means workers are always torn down regardless of whether the job succeeds. `TEARDOWN_ON_SUCCESS` means workers are torn down if the job succeeds. `TEARDOWN_NEVER` means the workers are never torn down. If the workers are not torn down by the service, they will continue to run and use Google Compute Engine VM resources in the user's project until they are explicitly terminated by the user. Because of this, Google recommends using the `TEARDOWN_ALWAYS` policy except for small, manually supervised test jobs. If unknown or unspecified, the service will attempt to choose a reasonable default.gogol-dataflowTEARDOWN_POLICY_UNKNOWN5 The teardown policy isn't specified, or is unknown.gogol-dataflowTEARDOWN_ALWAYS Always teardown the resource.gogol-dataflowTEARDOWN_ON_SUCCESSJ Teardown the resource on success. This is useful for debugging failures.gogol-dataflowTEARDOWN_NEVERM Never teardown the resource. This is useful for debugging and development.gogol-dataflowThe type of Cloud Dataflow job.gogol-dataflowJOB_TYPE_UNKNOWN1 The type of the job is unspecified, or unknown.gogol-dataflowJOB_TYPE_BATCHt A batch job with a well-defined end point: data is read, data is processed, data is written, and the job is done.gogol-dataflowJOB_TYPE_STREAMING_ A continuously streaming job with no end: data is read, processed, and written continuously.gogol-dataflowCounter aggregation kind.gogol-dataflowINVALID' Counter aggregation kind was not set.gogol-dataflowSUM8 Aggregated value is the sum of all contributed values.gogol-dataflowMAX8 Aggregated value is the max of all contributed values.gogol-dataflowMIN8 Aggregated value is the min of all contributed values.gogol-dataflowMEAN9 Aggregated value is the mean of all contributed values.gogol-dataflowORJ Aggregated value represents the logical 'or' of all contributed values.gogol-dataflowANDK Aggregated value represents the logical 'and' of all contributed values.gogol-dataflowSET9 Aggregated value is a set of unique contributed values.gogol-dataflow DISTRIBUTION< Aggregated value captures statistics about a distribution.gogol-dataflow LATEST_VALUE9 Aggregated value tracks the latest value of a variable.  &%$#"! '3210/.-,+*)(4657@?>=<;:98AEDCBFKJIHGLTSRQPONMUa`_^]\[ZYXWVblkjihgfedcmqponrvutswzyx{~}|#(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None"#27gogol-dataflow-Structured data associated with this message.See: 9 smart constructor.gogol-dataflowPosition defines a position within a collection of data. The value can be either the end position, a key (used with ordered collections), a byte offset, or a record index.See: 2 smart constructor.gogol-dataflow)Response to a request to lease WorkItems.See: 0 smart constructor.gogol-dataflow1Metadata for a Spanner connector used by the job.See: , smart constructor.gogol-dataflowsA work item that represents the different operations that can be performed on a user-defined Source specification.See: % smart constructor.gogol-dataflow8Description of an input or output of an execution stage.See:   smart constructor.gogol-dataflow?A message describing the state of a particular execution stage.See:  smart constructor.gogol-dataflow+Map from user step names to state families.See:  smart constructor.gogol-dataflow*Describes a particular function to invoke.See:  smart constructor.gogol-dataflowSAn input of an instruction, as a reference to an output of a producer instruction.See:  smart constructor.gogol-dataflow=A metric value representing a list of floating point numbers.See:  smart constructor.gogol-dataflowcIdentifies a pubsub location to use for transferring data into or out of a streaming Dataflow job.See:  smart constructor.gogol-dataflow+Response to a request to list job messages.See:  smart constructor.gogol-dataflowRepresents the operation to split a high-level Source specification into bundles (parts for parallel processing). At a high level, splitting of a source into bundles happens as follows: SourceSplitRequest is applied to the source. If it returns SOURCE_SPLIT_OUTCOME_USE_CURRENT, no further splitting happens and the source is used "as is". Otherwise, splitting is applied recursively to each produced DerivedSource. As an optimization, for any Source, if its does_not_need_splitting is true, the framework assumes that splitting this source would return SOURCE_SPLIT_OUTCOME_USE_CURRENT, and doesn't initiate a SourceSplitRequest. This applies both to the initial source being split and to bundles produced from it.See:  smart constructor.gogol-dataflowUA structured message reporting an autoscaling decision made by the Dataflow service.See:  smart constructor.gogol-dataflowData disk assignment information for a specific key-range of a sharded computation. Currently we only support UTF-8 character splits to simplify encoding into JSON.See:  smart constructor.gogol-dataflowState family configuration.See:  smart constructor.gogol-dataflow5The codec to use to decode data read from the source.See:  smart constructor.gogol-dataflowrAdditional information about how a Cloud Dataflow job will be executed that isn't contained in the submitted job.See:  smart constructor.gogol-dataflowBDescription of a transform executed as part of an execution stage.See:  smart constructor.gogol-dataflowBInformation about a side input of a DoFn or an input of a SeqDoFn.See:  smart constructor.gogol-dataflow%DEPRECATED in favor of DerivedSource.See:  smart constructor.gogol-dataflow5A request for sending worker messages to the service.See:  smart constructor.gogol-dataflowaThe metric short id is returned to the user alongside an offset into ReportWorkItemStatusRequestSee:  smart constructor.gogol-dataflowJA task that carries configuration information for streaming computations.See:  smart constructor.gogol-dataflow=How to interpret the source element(s) as a side input value.See:  smart constructor.gogol-dataflow6Describes a particular operation comprising a MapTask.See:  smart constructor.gogol-dataflow+A metric value representing a distribution.See:  smart constructor.gogol-dataflow*Identifies the location of a custom souce.See:  smart constructor.gogol-dataflowAn instruction that does a ParDo operation. Takes one main input and zero or more side inputs, and produces zero or more outputs. Runs user code.See:  smart constructor.gogol-dataflowKAn instruction that does a partial group-by-key. One input and one output.See:  smart constructor.gogol-dataflow3Information about an output of a multi-output DoFn.See:  smart constructor.gogol-dataflowsHistogram of value counts for a distribution. Buckets have an inclusive lower bound and exclusive upper bound and use "1,2,5 bucketing": The first bucket range is from [0,1) and all subsequent bucket boundaries are powers of ten multiplied by 1, 2, or 5. Thus, bucket boundaries are 0, 1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, ... Negative values are not supported.See:  smart constructor.gogol-dataflowLocation information for a specific key-range of a sharded computation. Currently we only support UTF-8 character splits to simplify encoding into JSON.See:  smart constructor.gogol-dataflowAWorkerMessage provides information to the backend about a worker.See:  smart constructor.gogol-dataflowNObsolete in favor of ApproximateReportedProgress and ApproximateSplitRequest.See:  smart constructor.gogol-dataflow3A source that records can be read and decoded from.See:  smart constructor.gogol-dataflow*The runtime parameters to pass to the job.See:  smart constructor.gogol-dataflowResponse to a request to list Cloud Dataflow jobs. This may be a partial response, depending on the page size in the ListJobsRequest.See:  smart constructor.gogol-dataflowVDescribes full or partial data disk assignment information of the computation ranges.See:  smart constructor.gogol-dataflowFService-side response to WorkerMessage reporting resource utilization.See:  smart constructor.gogol-dataflow*DEPRECATED in favor of DynamicSourceSplit.See:  smart constructor.gogol-dataflow:Response from a request to report the status of WorkItems.See:  smart constructor.gogol-dataflow&Request to create a snapshot of a job.See:  smart constructor.gogol-dataflowWhen a task splits using WorkItemStatus.dynamic_source_split, this message describes the two parts of the split relative to the description of the current task's input.See:  smart constructor.gogol-dataflowKParameters contains specific information about the code. This is a struct to allow parameters of different types. Examples: 1. For a "HARNESS_STARTED" message parameters might provide the name of the worker and additional data like timing information. 2. For a "GCS_DOWNLOAD_ERROR" parameters might contain fields listing the GCS objects being downloaded and fields containing errors. In general complex data structures should be avoided. If a worker needs to send a specific and complicated data structure then please consider defining a new proto and adding it to the data oneof in WorkerMessageResponse. Conventions: Parameters should only be used for information that isn't typically passed as a label. hostname and other worker identifiers should almost always be passed as labels since they will be included on most messages.See: } smart constructor.gogol-dataflowDescription of the composing transforms, names/ids, and input/outputs of a stage of execution. Some composing transforms and sources may have been generated by the Dataflow service during execution planning.See: u smart constructor.gogol-dataflowThe packages that must be installed in order for a worker to run the steps of the Cloud Dataflow job that will be assigned to its worker pool. This is the mechanism by which the Cloud Dataflow SDK causes code to be loaded onto the workers. For example, the Cloud Dataflow Java SDK might use this to install jars containing the user's code and all of the various dependencies (libraries, data files, etc.) required in order for that code to run.See: r smart constructor.gogol-dataflowODescription of an interstitial value between transforms in an execution stage.See: n smart constructor.gogol-dataflowIDefines a particular step within a Cloud Dataflow job. A job consists of multiple steps, each of which performs some specific operation as part of the overall job. Data is typically passed from one step to another as part of the job. Here's an example of a sequence of steps which together implement a Map-Reduce job: * Read a collection of data from some source, parsing the collection's elements. * Validate the elements. * Apply a user-defined function to map each element to some value and extract an element-specific key value. * Group elements with the same key into a single element with that key, transforming a multiply-keyed collection into a uniquely-keyed collection. * Write the elements out to some data sink. Note that the Cloud Dataflow service may be used to run many different types of jobs, not just Map-Reduce.See: j smart constructor.gogol-dataflow0Describes one particular pool of Cloud Dataflow workers to be instantiated by the Cloud Dataflow service in order to perform the computations required by a job. Note that a workflow job may use multiple pools, in order to match the various computational requirements of the various stages of the job.See: T smart constructor.gogol-dataflow*The sink to write to, plus its parameters.See: R smart constructor.gogol-dataflow1A progress measurement of a WorkItem by a worker.See: M smart constructor.gogol-dataflowHAn instruction that reads records. Takes no inputs, produces one output.See: K smart constructor.gogol-dataflow6Defines a job to be run by the Cloud Dataflow service.See: 2 smart constructor.gogol-dataflow'The value combining function to invoke.See: 0 smart constructor.gogol-dataflowThe user function to invoke.See: . smart constructor.gogol-dataflow?Service-side response to WorkerMessage issuing shutdown notice.See: - smart constructor.gogol-dataflow4A request to compute the SourceMetadata of a Source.See: + smart constructor.gogol-dataflow0Metadata for a PubSub connector used by the job.See: ( smart constructor.gogol-dataflow,Information about an output of a SeqMapTask.See: % smart constructor.gogol-dataflow+Additional user labels attached to the job.See: # smart constructor.gogol-dataflowfA report of an event in a worker's lifecycle. The proto contains one event, because the worker is expected to asynchronously send each message immediately after the event. Due to this asynchrony, messages may arrive out of order (or missing), and it is up to the consumer to interpret. The timestamp of the event is in the enclosing WorkerMessage proto.See:  smart constructor.gogol-dataflow2A particular message pertaining to a Dataflow job.See:  smart constructor.gogol-dataflowA descriptive representation of submitted pipeline as well as the executed form. This data is provided by the Dataflow service for ease of visualizing the pipeline and interpretting Dataflow provided metrics.See:  smart constructor.gogol-dataflowgA task which describes what action should be performed for the specified streaming computation ranges.See:  smart constructor.gogol-dataflowShutdown notification from workers. This is to be sent by the shutdown script of the worker VM so that the backend knows that the VM is being shut down.See:  smart constructor.gogol-dataflowVA single message which encapsulates structured name and metadata for a given counter.See:   smart constructor.gogol-dataflow9Request to get updated debug configuration for component.See:   smart constructor.gogol-dataflow2Identifies the location of a streaming side input.See:  smart constructor.gogol-dataflow$The response to the worker messages.See:  smart constructor.gogol-dataflowKCounterMetadata includes all static non-name non-value counter attributes.See:  smart constructor.gogol-dataflow)The environment values to set at runtime.See:  smart constructor.gogol-dataflow%Extra arguments for this worker pool.See:  smart constructor.gogol-dataflowPOther stats that can accompany an event. E.g. { "downloaded_bytes" : "123456" }See:  smart constructor.gogol-dataflowfDescribes a stream of data, either as input to be processed or as output of a streaming Dataflow job.See:  smart constructor.gogol-dataflow>The codec to use to encode data being written via this output.See:  smart constructor.gogol-dataflowThe user function to invoke.See:  smart constructor.gogol-dataflow8A representation of an integer mean metric contribution.See:  smart constructor.gogol-dataflow4The codec to use to encode data written to the sink.See:  smart constructor.gogol-dataflowDescribes mounted data disk.See:  smart constructor.gogol-dataflowMapTask consists of an ordered set of instructions, each of which describes one particular low-level operation for the worker to perform in order to accomplish the MapTask's WorkItem. Each instruction must appear in the list before any instructions which depends on its output.See:  smart constructor.gogol-dataflowAThe codec to use for interpreting an element in the input PTable.See:  smart constructor.gogol-dataflow:A task which initializes part of a streaming Dataflow job.See:  smart constructor.gogol-dataflow-Response to the request to launch a template.See:  smart constructor.gogol-dataflow\The Dataflow service's idea of the current state of a WorkItem being processed by a worker.See:  smart constructor.gogol-dataflow2Metadata for a BigTable connector used by the job.See:  smart constructor.gogol-dataflow*The runtime parameters to pass to the job.See:  smart constructor.gogol-dataflowOA worker_message response allows the server to pass information to the sender.See:  smart constructor.gogol-dataflowAIndicates which location failed to respond to a request for data.See:  smart constructor.gogol-dataflowWorker metrics exported from workers. This contains resource utilization metrics accumulated from a variety of sources. For more information, see go/df-resource-signals.See:  smart constructor.gogol-dataflow-Data disk assignment for a given VM instance.See:  smart constructor.gogol-dataflowOOther data returned by the service, specific to the particular worker harness.See:  smart constructor.gogol-dataflow+The version of the SDK used to run the joblSee:  smart constructor.gogol-dataflow.Response to a get debug configuration request.See:  smart constructor. gogol-dataflow4Provides data to pass through to the worker harness.See:  smart constructor. gogol-dataflowXA representation of an int64, n, that is immune to precision loss when encoded in JSON.See:  smart constructor. gogol-dataflowMA suggestion by the service to the worker to dynamically split the WorkItem.See:  smart constructor. gogol-dataflowgGlobal topology of the streaming Dataflow job, including all computations and their sharded locations.See:  smart constructor. gogol-dataflowNamed properties associated with the step. Each kind of predefined step has its own required set of properties. Must be provided on Create. Only retrieved with JOB_VIEW_ALL.See:  smart constructor.gogol-dataflowSRepresents the level of parallelism in a WorkItem's input, reported by the worker.See:  smart constructor.gogol-dataflow3Metadata for a Datastore connector used by the job.See:  smart constructor.gogol-dataflowCA task which consists of a shell command for the worker to execute.See:  smart constructor.gogol-dataflow2Maps user stage names to stable computation names.See:  smart constructor.gogol-dataflowThe result of a SourceOperationRequest, specified in ReportWorkItemStatusRequest.source_operation when the work item is completed.See:  smart constructor.gogol-dataflowRequest to lease WorkItems.See:  smart constructor.gogol-dataflow0Modeled after information exposed by /proc/stat.See: { smart constructor.gogol-dataflow>A representation of a floating point mean metric contribution.See: x smart constructor.gogol-dataflowThe Cloud Dataflow SDK pipeline options specified by the user. These options are passed through the service and are used to recreate the SDK pipeline options on the worker in a language agnostic and platform independent way.See: v smart constructor.gogol-dataflow=Configuration information for a single streaming computation.See: q smart constructor.gogol-dataflow"Taskrunner configuration settings.See: ] smart constructor.gogol-dataflowExperimental settings.See: [ smart constructor.gogol-dataflowZMetadata about a Source useful for automatically optimizing and tuning the pipeline, etc.See: W smart constructor.gogol-dataflow-The source to read from, plus its parameters.See: U smart constructor.gogol-dataflowpThe map of transform name prefixes of the job to be replaced to the corresponding name prefixes of the new job.See: S smart constructor.gogol-dataflowFDescription of the type, names/ids, and input/outputs for a transform.See: L smart constructor.gogol-dataflowyA message code is used to report status and error messages to the service. The message codes are intended to be machine readable. The service will take care of translating these into user understandable messages if necessary. Example use cases: 1. Worker processes reporting successful startup. 2. Worker processes reporting specific errors (e.g. package staging failure).See: I smart constructor. gogol-dataflowMAn instruction that copies its inputs (zero or more) to its (single) output.See: G smart constructor.!gogol-dataflowLabels are used to group WorkerMessages. For example, a worker_message about a particular container might have the labels: { "JOB_ID": "2015-04-22", "WORKER_ID": "wordcount-vm-2015 &" "CONTAINER_TYPE": "worker", "CONTAINER_ID": "ac1234def"} Label tags typically correspond to Label enum values. However, for ease of development other strings can be used as tags. LABEL_UNSPECIFIED should not be used here.See: E smart constructor."gogol-dataflowEConveys a worker's progress through the work described by a WorkItem.See: 6 smart constructor.#gogol-dataflow*Request to send encoded debug information.See: 1 smart constructor.$gogol-dataflowMJobMetrics contains a collection of metrics descibing the detailed progress of a Dataflow job. Metrics correspond to user-defined and system-defined metrics in the job. This resource captures only the most recent values of each metric; time-series data can be queried for them (under the same metric names) from Cloud Monitoring.See: . smart constructor.%gogol-dataflowSpecification of one of the bundles produced as a result of splitting a Source (e.g. when executing a SourceSplitRequest, or when splitting an active task using WorkItemStatus.dynamic_source_split), relative to the source being split.See: + smart constructor.&gogol-dataflow\Identifies the location of a streaming computation stage, for stage-to-stage communication.See: ) smart constructor.'gogol-dataflow*An update to a Counter sent from a worker.See:  smart constructor.(gogol-dataflow5Zero or more labeled fields which identify the part of the job this metric is associated with, such as the name of a step or collection. For example, built-in counters associated with steps will have context['step'] = . Counters associated with PCollections in the SDK will have context['pcollection'] = .See:  smart constructor.)gogol-dataflowA position that encapsulates an inner position and an index for the inner position. A ConcatPosition can be used by a reader of a source that encapsulates a set of other sources.See:  smart constructor.*gogol-dataflow7Describes the environment in which a Dataflow Job runs.See:   smart constructor.+gogol-dataflowMetadata describing a template.See:  smart constructor.,gogol-dataflow+The result of a SourceGetMetadataOperation.See:  smart constructor.-gogol-dataflow Describes the state of a metric.See:  smart constructor..gogol-dataflow/Describes the data disk used by a workflow job.See:  smart constructor./gogol-dataflow8A description of the process that generated the request.See:  smart constructor.0gogol-dataflowJAn instruction that writes records. Takes one input, produces no outputs.See:  smart constructor.1gogol-dataflow&The response to a GetTemplate request.See:  smart constructor.2gogol-dataflowqMetadata available primarily for filtering jobs. Will be included in the ListJob response and Job SUMMARY view+.See:  smart constructor.3gogol-dataflowIdentifies a counter within a per-job namespace. Counters whose structured names are the same get merged into a single value for the job.See:  smart constructor.4gogol-dataflow.Metadata for a File connector used by the job.See:  smart constructor.5gogol-dataflow2Metadata for a BigQuery connector used by the job.See:  smart constructor.6gogol-dataflowJIdentifies a metric, by describing the source which generated the metric.See:  smart constructor.7gogol-dataflowqUser-defined labels for this job. The labels map can contain no more than 64 entries. Entries of the labels map are UTF8 strings that comply with the following restrictions: * Keys must conform to regexp: \p{Ll}\p{Lo}{0,62} * Values must conform to regexp: [\p{Ll}\p{Lo}\p{N}_-]{0,63} * Both keys and values are additionally constrained to be <= 128 bytes in size.See:  smart constructor.8gogol-dataflowA rich message format, including a human readable string, a key for identifying the message, and structured data associated with the message for programmatic consumption.See:  smart constructor.9gogol-dataflow+Response to a send capture request. nothingSee:  smart constructor.:gogol-dataflowGData provided with a pipeline or transform to provide descriptive info.See:  smart constructor.;gogol-datafloweWorkerHealthReportResponse contains information returned to the worker in response to a health ping.See:  smart constructor.<gogol-dataflow.A metric value representing a list of strings.See:  smart constructor.=gogol-dataflow2A sink that records can be encoded and written to.See:  smart constructor.>gogol-dataflow+Streaming appliance snapshot configuration.See:  smart constructor.?gogol-dataflowpA structure describing which components and their versions of the service are required in order to run the job.See:  smart constructor.@gogol-dataflow*Request to report the status of WorkItems.See:  smart constructor.Agogol-dataflow5Parameters to provide to the template being launched.See:  smart constructor.Bgogol-dataflow:A metric value representing temporal values of a variable.See:  smart constructor.Cgogol-dataflowAn output of an instruction.See:  smart constructor.Dgogol-dataflow[Contains information about how a particular google.dataflow.v1beta3.Step will be executed.See:  smart constructor.Egogol-dataflow$Settings for WorkerPool autoscaling.See:  smart constructor.Fgogol-dataflow1Metadata to set on the Google Compute Engine VMs.See:  smart constructor.Ggogol-dataflowdHints for splitting a Source into bundles (parts for parallel processing) using SourceSplitRequest.See:  smart constructor.Hgogol-dataflowRepresents a snapshot of a job.See:  smart constructor.Igogol-dataflowWorkerHealthReport contains information about the health of a worker. The VM should be identified by the labels attached to the WorkerMessage that this health ping belongs to.See:  smart constructor.Jgogol-dataflowTWorkItem represents basic information about a WorkItem to be executed in the cloud.See: u smart constructor.Kgogol-dataflow/A metric value representing a list of integers.See: s smart constructor.Lgogol-dataflowBasic metadata about a counter.See: p smart constructor.Mgogol-dataflowThe `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by  https://github.com/grpcgRPC. The error model is designed to be: - Simple to use and understand for most users - Flexible enough to meet unexpected needs # Overview The `Status` message contains three pieces of data: error code, error message, and error details. The error code should be an enum value of google.rpc.Code, but it may accept additional error codes if needed. The error message should be a developer-facing English message that helps developers *understand* and *resolve* the error. If a localized user-facing error message is needed, put the localized message in the error details or localize it in the client. The optional error details may contain arbitrary information about the error. There is a predefined set of error detail types in the package `google.rpc` that can be used for common error conditions. # Language mapping The `Status` message is the logical representation of the error model, but it is not necessarily the actual wire format. When the `Status` message is exposed in different client libraries and different wire protocols, it can be mapped differently. For example, it will likely be mapped to some exceptions in Java, but more likely mapped to some error codes in C. # Other uses The error model and the `Status` message can be used in a variety of environments, either with or without APIs, to provide a consistent developer experience across different environments. Example uses of this error model include: - Partial errors. If a service needs to return partial errors to the client, it may embed the `Status` in the normal response to indicate the partial errors. - Workflow errors. A typical workflow has multiple steps. Each step may have a `Status` message for error reporting. - Batch operations. If a client uses batch request and batch response, the `Status` message should be used directly inside batch response, one for each error sub-response. - Asynchronous operations. If an API call embeds asynchronous operation results in its response, the status of those operations should be represented directly using the `Status` message. - Logging. If some API errors are stored in logs, the message `Status` could be used directly after any stripping needed for security/privacy reasons.See: l smart constructor.Ngogol-dataflow9A request to create a Cloud Dataflow job from a template.See: f smart constructor.Ogogol-dataflow"Metadata for a specific parameter.See: ` smart constructor.Pgogol-dataflow%The response to a SourceSplitRequest.See: \ smart constructor.Qgogol-dataflow4All configuration data for a particular Computation.See: U smart constructor.Rgogol-dataflow>A mapping from each stage to the information about that stage.See: S smart constructor.Sgogol-dataflowCreates a value of R4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:TUgogol-dataflowCreates a value of Q4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:VWXYZ[Vgogol-dataflowThe state family values.Wgogol-dataflowThe inputs to the computation.Xgogol-dataflow,The key ranges processed by the computation.Ygogol-dataflow!The outputs from the computation.Zgogol-dataflowThe ID of the computation.[gogol-dataflowThe system stage name.\gogol-dataflowCreates a value of P4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:]^_]gogol-dataflowIf outcome is SPLITTING_HAPPENED, then this is a list of bundles into which the source was split. Otherwise this field is ignored. This list can be empty, which means the source represents an empty input.^gogol-dataflowDEPRECATED in favor of bundles._gogol-dataflow<Indicates whether splitting happened and produced a list of bundles. If this is USE_CURRENT_SOURCE_AS_IS, the current source should be processed "as is" without splitting. "bundles" is ignored in this case. If this is SPLITTING_HAPPENED, then "bundles" contains a list of bundles into which the source was split.`gogol-dataflowCreates a value of O4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:abcdeagogol-dataflow5Required. The help text to display for the parameter.bgogol-dataflow?Optional. Whether the parameter is optional. Defaults to false.cgogol-dataflow$Required. The name of the parameter.dgogol-dataflow0Optional. Regexes that the parameter must match.egogol-dataflow1Required. The label to display for the parameter.fgogol-dataflowCreates a value of N4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:ghijkggogol-dataflow,The location to which to direct the request.hgogol-dataflow$The runtime environment for the job.igogol-dataflow2Required. The job name to use for the created job.jgogol-dataflowRequired. A Cloud Storage path to the template from which to create the job. Must be a valid Cloud Storage URL, beginning with `gs://`.kgogol-dataflow*The runtime parameters to pass to the job.lgogol-dataflowCreates a value of M4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:mnomgogol-dataflowiA list of messages that carry the error details. There is a common set of message types for APIs to use.ngogol-dataflowBThe status code, which should be an enum value of google.rpc.Code.ogogol-dataflowA developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.pgogol-dataflowCreates a value of L4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:qrqgogol-dataflowCounter aggregation kind.rgogol-dataflowName of the counter.sgogol-dataflowCreates a value of K4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:ttgogol-dataflowElements of the list.ugogol-dataflowCreates a value of J4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:vwxyz{|}~vgogol-dataflow5Identifies the workflow job this WorkItem belongs to.wgogol-dataflowRecommended reporting interval.xgogol-dataflow/Additional information for ShellTask WorkItems.ygogol-dataflow8Additional information for StreamingSetupTask WorkItems.zgogol-dataflowCThe initial index to use when reporting the status of the WorkItem.{gogol-dataflow-Additional information for MapTask WorkItems.|gogol-dataflowQAny required packages that need to be fetched in order to execute this WorkItem.}gogol-dataflow>Additional information for StreamingComputationTask WorkItems.~gogol-dataflow6Additional information for source operation WorkItems.gogol-dataflowIdentifies this WorkItem.gogol-dataflow6Identifies the cloud project this WorkItem belongs to.gogol-dataflow-Time when the lease on this Work will expire.gogol-dataflow3Work item-specific configuration as an opaque blob.gogol-dataflow9Additional information for StreamingConfigTask WorkItems.gogol-dataflow0Additional information for SeqMapTask WorkItems.gogol-dataflowCreates a value of I4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowWhether the VM is healthy.gogol-dataflowThe interval at which the worker is sending health reports. The default value of 0 should be interpreted as the field is not being explicitly set by the worker.gogol-dataflowThe pods running on the worker. See: http://kubernetes.io/v1.1/docs/api-reference/v1/definitions.html#_v1_pod This field is used by the worker to send the status of the indvidual containers running on each worker.gogol-dataflowThe time the VM was booted.gogol-dataflowCreates a value of H4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow#The time this snapshot was created.gogol-dataflowAThe time after which this snapshot will be automatically deleted.gogol-dataflow'The job this snapshot was created from.gogol-dataflowThe unique ID of this snapshot.gogol-dataflow%The project this snapshot belongs to.gogol-dataflowCreates a value of G4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow1DEPRECATED in favor of desired_bundle_size_bytes.gogol-dataflowtThe source should be split into a set of bundles where the estimated size of each is approximately this many bytes.gogol-dataflowCreates a value of F4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowCreates a value of E4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow0The maximum number of workers to cap scaling at.gogol-dataflow%The algorithm to use for autoscaling.gogol-dataflowCreates a value of D4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowThe steps associated with the execution stage. Note that stages may have several steps, and that a given step might be run by more than one stage.gogol-dataflowCreates a value of C4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowiFor system-generated byte and mean byte metrics, certain instructions should only report the value size.gogol-dataflow>The codec to use to encode data being written via this output.gogol-dataflow&The user-provided name of this output.gogol-dataflow?System-defined name of this output. Unique across the workflow.gogol-dataflowSystem-defined name for this output in the original workflow graph. Outputs that do not contribute to an original instruction do not set this.gogol-dataflowgFor system-generated byte and mean byte metrics, certain instructions should only report the key size.gogol-dataflowCreates a value of B4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow4The value of the variable represented by this gauge.gogol-dataflowHThe time at which this value was measured. Measured as msecs from epoch.gogol-dataflowCreates a value of A4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow$The runtime environment for the job.gogol-dataflow2Required. The job name to use for the created job.gogol-dataflow*The runtime parameters to pass to the job.gogol-dataflowCreates a value of @4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow$The current timestamp at the worker.gogol-dataflow/The location which contains the WorkItem's job.gogol-dataflowThe order is unimportant, except that the order of the WorkItemServiceState messages in the ReportWorkItemStatusResponse corresponds to the order of WorkItemStatus messages here.gogol-dataflowThe ID of the worker reporting the WorkItem status. If this does not match the ID of the worker which the Dataflow service believes currently has the lease on the WorkItem, the report will be dropped (with an error response).gogol-dataflowCreates a value of ?4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowProperties of the object.gogol-dataflowCreates a value of >4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow;Indicates which endpoint is used to import appliance state.gogol-dataflowCIf set, indicates the snapshot id for the snapshot being performed.gogol-dataflowCreates a value of =4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow4The codec to use to encode data written to the sink.gogol-dataflow*The sink to write to, plus its parameters.gogol-dataflowCreates a value of <4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowElements of the list.gogol-dataflowCreates a value of ;4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowA positive value indicates the worker should change its reporting interval to the specified value. The default value of zero means no change in report rate is requested by the server.gogol-dataflowCreates a value of :4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflow/Contains value if the data is of duration type.gogol-dataflow0Contains value if the data is of a boolean type.gogol-dataflow0Contains value if the data is of timestamp type.gogol-dataflowAn optional full URL.gogol-dataflowThe namespace for the key. This is usually a class name or programming language namespace (i.e. python module) which defines the display data. This allows a dax monitoring system to specially handle the data and perform custom rendering.gogol-dataflow1Contains value if the data is of java class type.gogol-dataflow3A possible additional shorter value to display. For example a java_class_name_value of com.mypackage.MyDoFn will be stored with MyDoFn as the short_str_value and com.mypackage.MyDoFn as the java_class_name value. short_str_value can be displayed and java_class_name_value will be displayed as a tooltip.gogol-dataflowThe key identifying the display data. This is intended to be used as a label for the display data when viewed in a dax monitoring system.gogol-dataflow,Contains value if the data is of int64 type.gogol-dataflow,Contains value if the data is of float type.gogol-dataflow-Contains value if the data is of string type.gogol-dataflow9An optional label to display in a dax UI for the element.gogol-dataflowCreates a value of 94 with the minimum fields required to make a request.gogol-dataflowCreates a value of 84 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow"Human-readable version of message.gogol-datafloweIdenfier for this message type. Used by external systems to internationalize or personalize message.gogol-dataflow1The structured data associated with this message.gogol-dataflowCreates a value of 74 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowCreates a value of 64 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowOrigin (namespace) of metric name. May be blank for user-define metrics; will be "dataflow" for metrics defined by the Dataflow service or SDK.gogol-dataflow5Zero or more labeled fields which identify the part of the job this metric is associated with, such as the name of a step or collection. For example, built-in counters associated with steps will have context['step'] = . Counters associated with PCollections in the SDK will have context['pcollection'] = .gogol-dataflowWorker-defined metric name.gogol-dataflowCreates a value of 54 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow#Dataset accessed in the connection.gogol-dataflow,Query used to access data in the connection.gogol-dataflow#Project accessed in the connection.gogol-dataflow!Table accessed in the connection.gogol-dataflowCreates a value of 44 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow3File Pattern used to access files by the connector.gogol-dataflowCreates a value of 34 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflow*One of the standard Origins defined above.gogol-dataflowFA string containing a more specific namespace of the counter's origin.gogol-dataflow9Name of the optimized step being executed by the workers.gogol-dataflow-Portion of this counter, either key or value.gogol-dataflowUSystem generated name of the original step in the user's graph, before optimization.gogol-dataflowlCounter name. Not necessarily globally-unique, but unique within the context of the other fields. Required.gogol-dataflowGName of the stage. An execution step contains multiple component steps.gogol-dataflowThe step name requesting an operation, such as GBK. I.e. the ParDo causing a read/write from shuffle to occur, or a read from side inputs.gogol-dataflowKIndex of an input collection that's being read from/written to as a side input. The index identifies a step's side inputs starting by 1 (e.g. the first side input has input_index 1, the third has input_index 3). Side inputs are identified by a pair of (original_step_name, input_index). This field helps uniquely identify them.gogol-dataflowID of a particular worker.gogol-dataflowCreates a value of 24 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow<Identification of a Spanner source used in the Dataflow job.gogol-dataflow=Identification of a BigTable source used in the Dataflow job.gogol-dataflow$The SDK version used to run the job.gogol-dataflow;Identification of a PubSub source used in the Dataflow job.gogol-dataflow9Identification of a File source used in the Dataflow job.gogol-dataflow=Identification of a BigQuery source used in the Dataflow job.gogol-dataflow>Identification of a Datastore source used in the Dataflow job.gogol-dataflowCreates a value of 14 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflownThe status of the get template request. Any problems with the request will be indicated in the error_details.gogol-dataflowOThe template metadata describing the template name, available parameters, etc.gogol-dataflowCreates a value of 04 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowThe sink to write to.gogol-dataflow The input.gogol-dataflowCreates a value of /4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowProperties of the object.gogol-dataflowCreates a value of .4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-datafloweSize of disk in GB. If zero or unspecified, the service will attempt to choose a reasonable default.gogol-dataflowDisk storage type, as defined by Google Compute Engine. This must be a disk type appropriate to the project and zone in which the workers will run. If unknown or unspecified, the service will attempt to choose a reasonable default. For example, the standard persistent disk type is a resource name typically ending in "pd-standard". If SSD persistent disks are available, the resource name typically ends with "pd-ssd". The actual valid values are defined the Google Compute Engine API, not by the Cloud Dataflow API; consult the Google Compute Engine documentation for more information about determining the set of available disk types for a particular project and zone. Google Compute Engine Disk types are local to a particular project in a particular zone, and so the resource name will typically look something like this: compute.googleapis.com/projects/project-id/zones/zone/diskTypes/pd-standardgogol-dataflow(Directory in a VM where disk is mounted.gogol-dataflowCreates a value of -4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflowWorker-computed aggregate value for the "Mean" aggregation kind. This holds the sum of the aggregated values and is used in combination with mean_count below to obtain the actual mean aggregate value. The only possible value types are Long and Double.gogol-dataflowJWorker-computed aggregate value for internal use by the Dataflow service.gogol-dataflowWorker-computed aggregate value for the "Set" aggregation kind. The only possible value type is a list of Values whose type can be Long, Double, or String, according to the metric's type. All Values in the list must be of the same type.gogol-dataflowJA struct value describing properties of a distribution of numeric values.gogol-dataflowTrue if this metric is reported as the total cumulative aggregate value accumulated since the worker started working on this WorkItem. By default this is false, indicating that this metric is reported as a delta that is not associated with any WorkItem.gogol-dataflowMetric aggregation kind. The possible metric aggregation kinds are "Sum", "Max", "Min", "Mean", "Set", "And", "Or", and "Distribution". The specified aggregation kind is case-insensitive. If omitted, this is not an aggregated value but instead a single metric sample value.gogol-dataflowA struct value describing properties of a Gauge. Metrics of gauge type show the value of a metric across time, and is aggregated based on the newest value.gogol-dataflowTimestamp associated with the metric value. Optional when workers are reporting work progress; it will be filled in responses from the metrics API.gogol-dataflowWorker-computed aggregate value for the "Mean" aggregation kind. This holds the count of the aggregated values and is used in combination with mean_sum above to obtain the actual mean aggregate value. The only possible value type is Long.gogol-dataflowName of the metric.gogol-dataflowWorker-computed aggregate value for aggregation kinds "Sum", "Max", "Min", "And", and "Or". The possible value types are Long, Double, and Boolean.gogol-dataflowCreates a value of ,4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowThe computed metadata.gogol-dataflowCreates a value of +4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow#Required. The name of the template.gogol-dataflow The parameters for the template.gogol-dataflow(Optional. A description of the template. gogol-dataflowCreates a value of *4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:      gogol-dataflowThe dataset for the current project where various workflow related tables are stored. The supported resource type is: Google BigQuery: bigquery.googleapis.com/{dataset} gogol-dataflow"The list of experiments to enable. gogol-dataflowmThe worker pools. At least one "harness" worker pool must be specified in order for the job to have workers. gogol-dataflowThe type of cluster manager API to use. If unknown or unspecified, the service will attempt to choose a reasonable default. This should be in the form of the API service name, e.g. "compute.googleapis.com".gogol-dataflowpA structure describing which components and their versions of the service are required in order to run the job.gogol-dataflowExperimental settings.gogol-dataflowThe prefix of the resources the system should use for temporary storage. The system will append the suffix "/temp-{JOBNAME} to this resource prefix, where {JOBNAME} is the value of the job_name field. The resulting bucket and object prefix is used as the prefix of the resources used to store temporary data needed during the job execution. NOTE: This will override the value in taskrunner_settings. The supported resource type is: Google Cloud Storage: storage.googleapis.com/{bucket}/{object} bucket.storage.googleapis.com/{object}gogol-dataflowEIdentity to run virtual machines as. Defaults to the default account.gogol-dataflow8A description of the process that generated the request.gogol-dataflowThe Cloud Dataflow SDK pipeline options specified by the user. These options are passed through the service and are used to recreate the SDK pipeline options on the worker in a language agnostic and platform independent way.gogol-dataflowCreates a value of )4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowIndex of the inner source.gogol-dataflow!Position within the inner source.gogol-dataflowCreates a value of (4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowCreates a value of '4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: !"#$%&'(gogol-dataflow"Counter name and aggregation type.gogol-dataflowList of integers, for Set.gogol-dataflow'Floating point value for Sum, Max, Min.gogol-dataflowCValue for internally-defined counters used by the Dataflow service.gogol-dataflowList of strings, for Set.gogol-dataflowThe service-generated short identifier for this counter. The short_id -> (name, metadata) mapping is constant for the lifetime of a job. gogol-dataflow Gauge data!gogol-dataflowDistribution data"gogol-dataflowTrue if this counter is reported as the total cumulative aggregate value accumulated since the worker started working on this WorkItem. By default this is false, indicating that this counter is reported as a delta.#gogol-dataflow%Counter structured name and metadata.$gogol-dataflow/Floating point mean aggregation value for Mean.%gogol-dataflow(Integer mean aggregation value for Mean.&gogol-dataflowBoolean value for And, Or.'gogol-dataflow(List of floating point numbers, for Set.(gogol-dataflow Integer value for Sum, Max, Min.)gogol-dataflowCreates a value of &4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:**gogol-dataflowCIdentifies the particular stream within the streaming Dataflow job.+gogol-dataflowCreates a value of %4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:,-,gogol-dataflow4What source to base the produced source on (if any).-gogol-dataflowSpecification of the source..gogol-dataflowCreates a value of $4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:/0/gogol-dataflowAll metrics for this job.0gogol-dataflow0Timestamp as of which metric values are current.1gogol-dataflowCreates a value of #4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:23452gogol-dataflow8The location which contains the job specified by job_id.3gogol-dataflowThe encoded debug information.4gogol-dataflow>The internal component id for which debug information is sent.5gogol-dataflow!The worker id, i.e., VM hostname.6gogol-dataflowCreates a value of "4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:789:;<=>?@ABCD7gogol-dataflow,The worker's progress through this WorkItem.8gogol-dataflow)DEPRECATED in favor of reported_progress.9gogol-dataflow@Total time the worker spent being throttled by external systems.:gogol-dataflowxIf the work item represented a SourceOperationRequest, and the work is completed, contains the result of the operation.;gogol-dataflowxA worker may split an active map task in two parts, "primary" and "residual", continuing to process the primary part and returning the residual part into the pool of available work. This event is called a "dynamic split" and is critical to the dynamic work rebalancing feature. The two obtained sub-tasks are called "parts" of the split. The parts, if concatenated, must represent the same input as would be read by the current task if the split did not happen. The exact way in which the original task is decomposed into the two parts is specified either as a position demarcating them (stop_position), or explicitly as two DerivedSources, if this task consumes a user-defined source type (dynamic_source_split). The "current" task is adjusted as a result of the split: after a task with range [A, B) sends a stop_position update at C, its range is considered to be [A, C), e.g.: * Progress should be interpreted relative to the new range, e.g. "75% completed" means "75% of [A, C) completed" * The worker should interpret proposed_stop_position relative to the new range, e.g. "split at 68%" should be interpreted as "split at 68% of [A, C)". * If the worker chooses to split again using stop_position, only stop_positions in [A, C) will be accepted. * Etc. dynamic_source_split has similar semantics: e.g., if a task with source S splits using dynamic_source_split into {P, R} (where P and R must be together equivalent to S), then subsequent progress and proposed_stop_position should be interpreted relative to P, and in a potential subsequent dynamic_source_split into {P', R'}, P' and R' must be together equivalent to P, etc.<gogol-dataflow#See documentation of stop_position.=gogol-dataflowDTrue if the WorkItem was completed (successfully or unsuccessfully).>gogol-dataflow,DEPRECATED in favor of dynamic_source_split.?gogol-dataflowThe report index. When a WorkItem is leased, the lease will contain an initial report index. When a WorkItem's status is reported to the system, the report should be sent with that report index, and the response will contain the index the worker should use for the next report. Reports received with unexpected index values will be rejected by the service. In order to preserve idempotency, the worker should not alter the contents of a report, even if the worker must submit the same report multiple times before getting back a response. The worker should not submit a subsequent report until the response for the previous report had been received from the service.@gogol-dataflow1Amount of time the worker requests for its lease.Agogol-dataflowSpecifies errors which occurred during processing. If errors are provided, and completed = true, then the WorkItem is considered to have failed.Bgogol-dataflow)Worker output counters for this WorkItem.Cgogol-dataflow'DEPRECATED in favor of counter_updates.Dgogol-dataflowIdentifies the WorkItem.Egogol-dataflowCreates a value of !4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:FGgogol-dataflowCreates a value of  4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:HHgogol-dataflow0Describes the inputs to the flatten instruction.Igogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:JKJgogol-dataflowKParameters contains specific information about the code. This is a struct to allow parameters of different types. Examples: 1. For a "HARNESS_STARTED" message parameters might provide the name of the worker and additional data like timing information. 2. For a "GCS_DOWNLOAD_ERROR" parameters might contain fields listing the GCS objects being downloaded and fields containing errors. In general complex data structures should be avoided. If a worker needs to send a specific and complicated data structure then please consider defining a new proto and adding it to the data oneof in WorkerMessageResponse. Conventions: Parameters should only be used for information that isn't typically passed as a label. hostname and other worker identifiers should almost always be passed as labels since they will be included on most messages.Kgogol-dataflowThe code is a string intended for consumption by a machine that identifies the type of message being sent. Examples: 1. "HARNESS_STARTED" might be used to indicate the worker harness has started. 2. "GCS_DOWNLOAD_ERROR" might be used to indicate an error downloading a GCS file as part of the boot process of one of the worker containers. This is a string and not an enum to make it easy to add new codes without waiting for an API change.Lgogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:MNOPQRMgogol-dataflow Transform-specific display data.Ngogol-dataflowType of transform.Ogogol-dataflow8User names for all collection outputs to this transform.Pgogol-dataflow7User names for all collection inputs to this transform.Qgogol-dataflow/User provided name for this transform instance.Rgogol-dataflow,SDK generated id of this transform instance.Sgogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:TUgogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:VVgogol-dataflowProperties of the object.Wgogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:XYZXgogol-dataflowAn estimate of the total size (in bytes) of the data that would be read from this source. This estimate is in terms of external storage size, before any decompression or other processing done by the reader.Ygogol-dataflowsWhether this source is known to produce key/value pairs with the (encoded) keys in lexicographically sorted order.Zgogol-dataflow]Specifies that the size of this source is known to be infinite (this is a streaming source).[gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:\\gogol-dataflow=Properties of the object. Contains field 'type with type URL.]gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:^_`abcdefghijklmnop^gogol-dataflow6Whether to continue taskrunner if an exception is hit._gogol-dataflow)The command to launch the worker harness.`gogol-dataflow"The file to store the workflow in.agogol-dataflowZThe UNIX group ID on the worker VM to use for tasks launched by taskrunner; e.g. "wheel".bgogol-dataflow3Whether to also send taskrunner log info to stderr.cgogol-dataflow(The API version of endpoint, e.g. "v1b3"dgogol-dataflow&The directory on the VM to store logs.egogol-dataflow,The file to store preprocessing commands in.fgogol-dataflowThe ID string of the VM.ggogol-dataflowThe base URL for the taskrunner to use when accessing Google Cloud APIs. When workers access Google Cloud APIs, they logically do so via relative URLs. If this field is specified, it supplies the base URL to use for resolving these relative URLs. The normative algorithm used is defined by RFC 1808, "Relative Uniform Resource Locators". If not specified, the default value is "http://www.googleapis.com/"hgogol-dataflow_The OAuth2 scopes to be requested by the taskrunner in order to access the Cloud Dataflow API.igogol-dataflowXThe UNIX user ID on the worker VM to use for tasks launched by taskrunner; e.g. "root".jgogol-dataflow%The streaming worker main class name.kgogol-dataflow<The location on the worker for task-specific subdirectories.lgogol-dataflowIndicates where to put logs. If this is not specified, the logs will not be uploaded. The supported resource type is: Google Cloud Storage: storage.googleapis.com/{bucket}/{object} bucket.storage.googleapis.com/{object}mgogol-dataflowThe prefix of the resources the taskrunner should use for temporary storage. The supported resource type is: Google Cloud Storage: storage.googleapis.com/{bucket}/{object} bucket.storage.googleapis.com/{object}ngogol-dataflowPWhether to send taskrunner log info to Google Compute Engine VM serial console.ogogol-dataflow4The settings to pass to the parallel worker harness.pgogol-dataflowThe suggested backend language.qgogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:rsturgogol-dataflow+Instructions that comprise the computation.sgogol-dataflow)System defined name for this computation.tgogol-dataflow'Unique identifier for this computation.ugogol-dataflowStage name of this computation.vgogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:wwgogol-dataflowProperties of the object.xgogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:yzygogol-dataflow&The number of values being aggregated.zgogol-dataflow'The sum of all values being aggregated.{gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:|}~|gogol-dataflowWTotal active CPU time across all cores (ie., non-idle) in milliseconds since start-up.}gogol-dataflowNAverage CPU utilization rate (% non-idle cpu / second) since previous sample.~gogol-dataflowTimestamp of the measurement.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowFilter for WorkItem type.gogol-dataflow$The current timestamp at the worker.gogol-dataflow/The location which contains the WorkItem's job.gogol-dataflowWWorker capabilities. WorkItems might be limited to workers with specific capabilities.gogol-dataflowThe initial lease period.gogol-dataflowbIdentifies the worker leasing work -- typically the ID of the virtual machine running the worker.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow*A response to a request to split a source.gogol-dataflow7A response to a request to get metadata about a source.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowThe shell command to run.gogol-dataflowExit code for the task.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow!Namespace used in the connection.gogol-dataflow%ProjectId accessed in the connection.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow=Properties of the object. Contains field 'type with type URL.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow8Specifies the level of parallelism in case it is finite.gogol-dataflow?Specifies whether the parallelism is infinite. If true, "value" is ignored. Infinite parallelism means the service will assume that the work item can always be split into more non-empty work items by dynamic splitting. This is a work-around for lack of support for infinity by the current JSON-based Java RPC stack.gogol-dataflowCreates a value of  4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowProperties of the object.gogol-dataflowCreates a value of  4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow/The disks assigned to a streaming Dataflow job.gogol-dataflow$Version number for persistent state.gogol-dataflowDThe size (in bits) of keys that will be assigned to source messages.gogol-dataflow2Maps user stage names to stable computation names.gogol-dataflow:The computations associated with a streaming Dataflow job.gogol-dataflowCreates a value of  4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowiA fraction at which to split the work item, from 0.0 (beginning of the input) to 1.0 (end of the input).gogol-dataflowThe fraction of the remainder of work to split the work item at, from 0.0 (split at the current position) to 1.0 (end of the input).gogol-dataflow+A Position at which to split the work item.gogol-dataflowCreates a value of  4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow1The high order bits, including the sign: n >> 32.gogol-dataflow#The low order bits: n & 0xffffffff.gogol-dataflowCreates a value of  4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowaThe Cloud Dataflow service path relative to the root URL, for example, "dataflow/v1b3/projects".gogol-dataflowThe base URL for accessing Google Cloud APIs. When workers access Google Cloud APIs, they logically do so via relative URLs. If this field is specified, it supplies the base URL to use for resolving these relative URLs. The normative algorithm used is defined by RFC 1808, "Relative Uniform Resource Locators". If not specified, the default value is "http://www.googleapis.com/"gogol-dataflowSThe Shuffle service path relative to the root URL, for example, "shuffle/v1beta1".gogol-dataflowThe prefix of the resources the system should use for temporary storage. The supported resource type is: Google Cloud Storage: storage.googleapis.com/{bucket}/{object} bucket.storage.googleapis.com/{object}gogol-dataflow5Whether to send work progress updates to the service.gogol-dataflow+The ID of the worker running this pipeline.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow<The encoded debug configuration for the requested component.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow(The support status for this SDK version.gogol-dataflow4A readable string describing the version of the sdk.gogol-dataflow+The version of the SDK used to run the job.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowProperties of the object.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow_VM instance name the data disks mounted to, for example "myproject-1014-104817-4c2-harness-0".gogol-dataflow Mounted data disks. The order is important a data disk's 0-based index in this list defines which persistent directory the disk is mounted to, for example the list of { "myproject-1014-104817-4c2-harness-0-disk-0" }, { "myproject-1014-104817-4c2-harness-0-disk-1" }.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowCPU utilization samples.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow The name of the failed location.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow3The service's response to a worker's health report.gogol-dataflowAService's response to reporting worker metrics (currently empty).gogol-dataflow8Service's response to shutdown notice (currently empty).gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow&InstanceId accessed in the connection.gogol-dataflow%ProjectId accessed in the connection.gogol-dataflow#TableId accessed in the connection.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowThe index value to use for the next report sent by the worker. Note: If the report call fails for whatever reason, the worker should reuse this index for subsequent report attempts.gogol-dataflow#New recommended reporting interval.gogol-dataflowOOther data returned by the service, specific to the particular worker harness.gogol-dataflow%DEPRECATED in favor of split_request.gogol-dataflowObsolete, always empty.gogol-dataflow,Time at which the current lease will expire.gogol-dataflowjThe progress point in the WorkItem where the Dataflow service suggests that the worker truncate the task.gogol-dataflowQThe short ids that workers should use in subsequent metric updates. Workers should strive to use short ids whenever possible, but it is ok to request the short_id again if a worker lost track of it (e.g. if the worker is recovering from a crash). NOTE: it is possible that the response may have short ids for a subset of the metrics.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowcThe job that was launched, if the request was not a dry run and the job was successfully launched.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow2The global topology of the streaming Dataflow job.gogol-dataflowfThe TCP port on which the worker should listen for messages from other streaming computation workers.gogol-dataflowQThe TCP port used by the worker to communicate with the Dataflow worker harness.gogol-dataflowThe user has requested drain.gogol-dataflow(Configures streaming appliance snapshot.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowProperties of the object.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow The instructions in the MapTask.gogol-dataflowTCounter prefix that can be used to prefix counters. Not currently used in Dataflow.gogol-dataflow@System-defined name of this MapTask. Unique across the workflow.gogol-dataflowVSystem-defined name of the stage containing this MapTask. Unique across the workflow.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowThe name of the data disk. This name is local to the Google Cloud Platform project and uniquely identifies the disk within that project, for example "myproject-1014-104817-4c2-harness-0-disk-1".gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowProperties of the object.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow&The number of values being aggregated.gogol-dataflow'The sum of all values being aggregated.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowProperties of the object.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowProperties of the object.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowProperties of the object.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowUThe stream is part of another computation within the current streaming Dataflow job.gogol-dataflow%The stream is a streaming side input.gogol-dataflowThe stream is a custom source.gogol-dataflowThe stream is a pubsub stream.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow=Properties of the object. Contains field 'type with type URL.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflowBThe initial number of Google Compute Engine instnaces for the job.gogol-dataflowlNetwork to which VMs will be assigned. If empty or unspecified, the service will use the network "default".gogol-dataflowThe Compute Engine  Ahttps://cloud.google.com/compute/docs/regions-zones/regions-zonesavailability zone6 for launching worker instances to run your pipeline.gogol-dataflowYWhether to bypass the safety checks for the job's temporary directory. Use with caution.gogol-dataflowzSubnetwork to which VMs will be assigned, if desired. Expected to be of the form "regions/REGION/subnetworks/SUBNETWORK".gogol-dataflow_The machine type to use for the job. Defaults to the value from the template if not specified.gogol-dataflow+Additional user labels attached to the job.gogol-dataflow;The email address of the service account to run the job as.gogol-dataflow(Additional experiment flags for the job.gogol-dataflow~The maximum number of Google Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.gogol-dataflownThe Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with `gs://`.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowCounter aggregation kind.gogol-dataflow4Human-readable description of the counter semantics.gogol-dataflow%System defined Units, see above enum.gogol-dataflow$A string referring to the unit type.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow,The servers response to the worker messages.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowGIdentifies the particular side input within the streaming Dataflow job.gogol-dataflow<Identifies the state family where this side input is stored. gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:    gogol-dataflow8The location which contains the job specified by job_id. gogol-dataflowEThe internal component id for which debug configuration is requested. gogol-dataflow!The worker id, i.e., VM hostname. gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowStructured name of the counter.gogol-dataflow"Metadata associated with a countergogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowThe reason for the worker shutdown. Current possible values are: "UNKNOWN": shutdown reason is unknown. "PREEMPTION": shutdown reason is preemption. Other possible reasons may be added in the future.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow%A type of streaming computation task.gogol-dataflow:Describes the set of data disks this task should apply to.gogol-dataflowEContains ranges of a streaming computation this task should apply to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow7Description of each stage of execution of the pipeline.gogol-dataflowPipeline level display data.gogol-dataflowLDescription of each transform in the pipeline and collections between them.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowThe timestamp of the message.gogol-dataflowThe text of the message.gogol-dataflow Importance level of the message.gogol-dataflow Deprecated.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: !" gogol-dataflowThe event being reported.!gogol-dataflowThe start time of this container. All events will report this so that events can be grouped together across container/VM restarts."gogol-dataflowPOther stats that can accompany an event. E.g. { "downloaded_bytes" : "123456" }#gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:$%gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:&'&gogol-dataflow&The sink to write the output value to.'gogol-dataflowBThe id of the TupleTag the user code will tag the output value by.(gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:)*)gogol-dataflow!Topic accessed in the connection.*gogol-dataflow$Subscription used in the connection.+gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:,,gogol-dataflow>Specification of the source whose metadata should be computed.-gogol-dataflowCreates a value of 4 with the minimum fields required to make a request..gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired://gogol-dataflowProperties of the object.0gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:11gogol-dataflowProperties of the object.2gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:3456789:;<=>?@ABCDEFGHIJ3gogol-dataflow,The GCS location where the steps are stored.4gogol-dataflowTIf this is specified, the job's initial state is populated from the given snapshot.5gogol-dataflow`The job's requested state. `UpdateJob` may be used to switch between the `JOB_STATE_STOPPED` and `JOB_STATE_RUNNING` states, by setting requested_state. `UpdateJob` may also be used to directly set a job's requested state to `JOB_STATE_CANCELLED` or `JOB_STATE_DONE`, irrevocably terminating the job if it has not already reached a terminal state.6gogol-dataflowThis field is populated by the Dataflow service to support filtering jobs by the metadata values provided here. Populated for ListJobs and all GetJob views SUMMARY and higher.7gogol-dataflow$The location that contains this job.8gogol-dataflow|The timestamp when the job was started (transitioned to JOB_STATE_PENDING). Flexible resource scheduling jobs are started with some delay after job creation, so start_time is unset before start and is updated when the job is started by the Cloud Dataflow service. For other jobs, start_time always equals to create_time and is immutable and set by the Cloud Dataflow service.9gogol-dataflowThe environment for the job.:gogol-dataflowThe client's unique identifier of the job, re-used across retried attempts. If this field is set, the service will ensure its uniqueness. The request to create a job will fail if the service has knowledge of a previously submitted job with the same client's ID and job name. The caller may use this field to ensure idempotence of job creation across retried attempts to create a job. By default, the field is empty and, in that case, the service ignores it.;gogol-dataflowSThis field may be mutated by the Cloud Dataflow service; callers cannot mutate it.<gogol-datafloweThe current state of the job. Jobs are created in the `JOB_STATE_STOPPED` state unless otherwise specified. A job in the `JOB_STATE_RUNNING` state may asynchronously enter a terminal state. After a job has reached a terminal state, no further state updates may be made. This field may be mutated by the Cloud Dataflow service; callers cannot mutate it.=gogol-dataflowIf another job is an update of this job (and thus, this job is in `JOB_STATE_UPDATED`), this field contains the ID of that job.>gogol-dataflowIA set of files the system should be aware of that are used for temporary storage. These temporary files will be removed on job completion. No duplicates are allowed. No file patterns are supported. The supported files are: Google Cloud Storage: storage.googleapis.com/{bucket}/{object} bucket.storage.googleapis.com/{object}?gogol-dataflowoExactly one of step or steps_location should be specified. The top-level steps that constitute the entire job.@gogol-dataflowPreliminary field: The format of this data may change at any time. A description of the user pipeline and stages through which it is executed. Created by Cloud Dataflow service. Only retrieved with JOB_VIEW_DESCRIPTION or JOB_VIEW_ALL.Agogol-dataflow Deprecated.Bgogol-dataflow?The user-specified Cloud Dataflow job name. Only one Job with a given name may exist in a project at any given time. If a caller attempts to create a Job with the same name as an already-existing Job, the attempt returns the existing Job. The name must match the regular expression `[a-z]([-a-z0-9]{0,38}[a-z0-9])?`Cgogol-dataflowpThe map of transform name prefixes of the job to be replaced to the corresponding name prefixes of the new job.Dgogol-dataflowThe unique ID of this job. This field is set by the Cloud Dataflow service when the Job is created, and is immutable for the life of the job.Egogol-dataflowqUser-defined labels for this job. The labels map can contain no more than 64 entries. Entries of the labels map are UTF8 strings that comply with the following restrictions: * Keys must conform to regexp: \p{Ll}\p{Lo}{0,62} * Values must conform to regexp: [\p{Ll}\p{Lo}\p{N}_-]{0,63} * Both keys and values are additionally constrained to be <= 128 bytes in size.Fgogol-dataflow=The ID of the Cloud Platform project that the job belongs to.Ggogol-dataflowThe type of Cloud Dataflow job.Hgogol-dataflow0The timestamp associated with the current state.Igogol-dataflowIf this job is an update of an existing job, this field is the job ID of the job it replaced. When sending a `CreateJobRequest`, you can update a job by specifying it here. The job named here is stopped, and its intermediate state is transferred to this job.Jgogol-dataflowcThe timestamp when the job was initially created. Immutable and set by the Cloud Dataflow service.Kgogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:LLgogol-dataflowThe source to read from.Mgogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:NOPQNgogol-dataflowCompletion as fraction of the input consumed, from 0.0 (beginning, nothing consumed), to 1.0 (end of the input, entire input consumed).Ogogol-dataflow|Total amount of parallelism in the portion of input of this task that has already been consumed and is no longer active. In the first two examples above (see remaining_parallelism), the value should be 29 or 2 respectively. The sum of remaining_parallelism and consumed_parallelism should equal the total amount of parallelism in this work item. If specified, must be finite.Pgogol-dataflow(Total amount of parallelism in the input of this task that remains, (i.e. can be delegated to this task and any new tasks via dynamic splitting). Always at least 1 for non-finished work items and 0 for finished. "Amount of parallelism" refers to how many non-empty parts of the input can be read in parallel. This does not necessarily equal number of records. An input that can be read in parallel down to the individual records is called "perfectly splittable". An example of non-perfectly parallelizable input is a block-compressed file format where a block of records has to be read as a whole, but different blocks can be read in parallel. Examples: * If we are processing record #30 (starting at 1) out of 50 in a perfectly splittable 50-record input, this value should be 21 (20 remaining + 1 current). * If we are reading through block 3 in a block-compressed file consisting of 5 blocks, this value should be 3 (since blocks 4 and 5 can be processed in parallel by new tasks via dynamic splitting and the current task remains processing block 3). * If we are reading through the last block in a block-compressed file, or reading or processing the last record in a perfectly splittable input, this value should be 1, because apart from the current task, no additional remainder can be split off.Qgogol-dataflow3A Position within the work to represent a progress.Rgogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:SSgogol-dataflowProperties of the object.Tgogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:UVWXYZ[\]^_`abcdefghiUgogol-dataflow,Settings for autoscaling of this WorkerPool.Vgogol-dataflowThe number of threads per worker harness. If empty or unspecified, the service will choose a number of threads (according to the number of cores on the selected machine type for batch, or 1 by convention for streaming).Wgogol-dataflowsSize of root disk for VMs, in GB. If zero or unspecified, the service will attempt to choose a reasonable default.Xgogol-dataflowSThe kind of the worker pool; currently only `harness` and `shuffle` are supported.Ygogol-dataflowSettings passed through to Google Compute Engine workers when using the standard Dataflow task runner. Users should ignore this field.Zgogol-dataflowNumber of Google Compute Engine workers in this pool needed to execute the job. If zero or unspecified, the service will attempt to choose a reasonable default.[gogol-dataflowlNetwork to which VMs will be assigned. If empty or unspecified, the service will use the network "default".\gogol-dataflowsZone to run the worker pools in. If empty or unspecified, the service will attempt to choose a reasonable default.]gogol-dataflowConfiguration for VM IPs.^gogol-dataflow$Packages to be installed on workers._gogol-dataflowUThe action to take on host maintenance, as defined by the Google Compute Engine API.`gogol-dataflow'Fully qualified source image for disks.agogol-dataflowzSubnetwork to which VMs will be assigned, if desired. Expected to be of the form "regions/REGION/subnetworks/SUBNETWORK".bgogol-dataflowwMachine type (e.g. "n1-standard-1"). If empty or unspecified, the service will attempt to choose a reasonable default.cgogol-dataflow1Metadata to set on the Google Compute Engine VMs.dgogol-dataflowmType of root disk for VMs. If empty or unspecified, the service will attempt to choose a reasonable default.egogol-dataflowSets the policy for determining when to turndown worker pool. Allowed values are: `TEARDOWN_ALWAYS`, `TEARDOWN_ON_SUCCESS`, and `TEARDOWN_NEVER`. `TEARDOWN_ALWAYS` means workers are always torn down regardless of whether the job succeeds. `TEARDOWN_ON_SUCCESS` means workers are torn down if the job succeeds. `TEARDOWN_NEVER` means the workers are never torn down. If the workers are not torn down by the service, they will continue to run and use Google Compute Engine VM resources in the user's project until they are explicitly terminated by the user. Because of this, Google recommends using the `TEARDOWN_ALWAYS` policy except for small, manually supervised test jobs. If unknown or unspecified, the service will attempt to choose a reasonable default.fgogol-dataflowThe default package set to install. This allows the service to select a default set of packages which are useful to worker harnesses written in a particular language.ggogol-dataflow%Extra arguments for this worker pool.hgogol-dataflowyRequired. Docker container image that executes the Cloud Dataflow worker harness, residing in Google Container Registry.igogol-dataflow2Data disks that are used by a VM in this workflow.jgogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:klmkgogol-dataflow+The kind of step in the Cloud Dataflow job.lgogol-dataflowThe name that identifies the step. This must be unique for each step with respect to all other steps in the Cloud Dataflow job.mgogol-dataflowNamed properties associated with the step. Each kind of predefined step has its own required set of properties. Must be provided on Create. Only retrieved with JOB_VIEW_ALL.ngogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:opqogogol-dataflowHHuman-readable name for this transform; may be user or system generated.pgogol-dataflow0Dataflow service generated name for this source.qgogol-dataflowkUser name for the original user transform or collection with which this source is most closely associated.rgogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:stsgogol-dataflowThe resource to read the package from. The supported resource type is: Google Cloud Storage: storage.googleapis.com/{bucket} bucket.storage.googleapis.com/tgogol-dataflowThe name of the package.ugogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:vwxyz{|vgogol-dataflowOutput sources for this stage.wgogol-dataflow)Type of tranform this stage is executing.xgogol-dataflowInput sources for this stage.ygogol-dataflow/Dataflow service generated name for this stage.zgogol-dataflowHCollections produced and consumed by component transforms of this stage.{gogol-dataflow-Dataflow service generated id for this stage.|gogol-dataflow.Transforms that comprise this execution stage.}gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:~~gogol-dataflowProperties of the object.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowcResidual part (returned to the pool of work). Specified relative to the previously-current source.gogol-dataflowzPrimary part (continued to be processed by worker). Specified relative to the previously-current source. Becomes current.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowTTL for the snapshot.gogol-dataflow$The location that contains this job.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowA set of messages indicating the service-side state for each WorkItem whose status was reported, in the same order as the WorkItemStatus messages in the ReportWorkItemStatusRequest which resulting in this response.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow DEPRECATEDgogol-dataflow DEPRECATEDgogol-dataflow DEPRECATEDgogol-dataflow DEPRECATEDgogol-dataflowCreates a value of 4 with the minimum fields required to make a request.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow7Data disk assignments for ranges from this computation.gogol-dataflowThe ID of the computation.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow;Set if there may be more results than fit in this response.gogol-dataflowBZero or more messages describing locations that failed to respond.gogol-dataflow*A subset of the requested job information.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow Setting this value to true hints to the framework that the source doesn't need splitting, and using SourceSplitRequest on it would yield SOURCE_SPLIT_OUTCOME_USE_CURRENT. E.g. a file splitter may set this to true when splitting a single file into a set of byte ranges of appropriate size, and set this to false when splitting a filepattern into individual files. However, for efficiency, a file splitter may decide to produce file subranges directly from the filepattern to avoid a splitting round-trip. See SourceSplitRequest for an overview of the splitting process. This field is meaningful only in the Source objects populated by the user (e.g. when filling in a DerivedSource). Source objects supplied by the framework to the user don't have this field populated.gogol-dataflowWhile splitting, sources may specify the produced bundles as differences against another source, in order to save backend-side memory and allow bigger jobs. For details, see SourceSplitRequest. To support this use case, the full set of parameters of the source is logically obtained by taking the latest explicitly specified value of each parameter in the order: base_specs (later items win), spec (overrides anything in base_specs).gogol-dataflow5The codec to use to decode data read from the source.gogol-dataflow-The source to read from, plus its parameters.gogol-dataflow[Optionally, metadata for this source can be supplied right away, avoiding a SourceGetMetadataOperation roundtrip (see SourceOperationRequest). This field is meaningful only in the Source objects populated by the user (e.g. when filling in a DerivedSource). Source objects supplied by the framework to the user don't have this field populated.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow Obsolete.gogol-dataflow Obsolete.gogol-dataflow Obsolete.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowThe health of a worker.gogol-dataflow$The timestamp of the worker_message.gogol-dataflowA worker message code.gogol-dataflow%Resource metrics reported by workers.gogol-dataflow"Record of worker lifecycle events.gogol-dataflowShutdown notice by workers.gogol-dataflowLabels are used to group WorkerMessages. For example, a worker_message about a particular container might have the labels: { "JOB_ID": "2015-04-22", "WORKER_ID": "wordcount-vm-2015 &" "CONTAINER_TYPE": "worker", "CONTAINER_ID": "ac1234def"} Label tags typically correspond to Label enum values. However, for ease of development other strings can be used as tags. LABEL_UNSPECIFIED should not be used here.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowThe name of the data disk where data for this range is stored. This name is local to the Google Cloud Platform project and uniquely identifies the disk within that project, for example "myproject-1014-104817-4c2-harness-0-disk-1".gogol-dataflow{DEPRECATED. The location of the persistent state for this range, as a persistent directory in the worker local filesystem.gogol-dataflow'The start (inclusive) of the key range.gogol-dataflowsThe physical location of this range assignment to be used for streaming computation cross-worker message delivery.gogol-dataflow%The end (exclusive) of the key range.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowCounts of values in each bucket. For efficiency, prefix and trailing buckets with count = 0 are elided. Buckets can store the full range of values of an unsigned long, with ULLONG_MAX falling into the 59th bucket with range [1e19, 2e19).gogol-dataflowStarting index of first stored bucket. The non-inclusive upper-bound of the ith bucket is given by: pow(10,(i-first_bucket_offset)/3) * (1,2,5)[(i-first_bucket_offset)%3]gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowvThe id of the tag the user code will emit to this output by; this should correspond to the tag of some SideInputInfo.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow'The value combining function to invoke.gogol-dataflowZero or more side inputs.gogol-dataflow<Describes the input to the partial group-by-key instruction.gogol-dataflowIf this instruction includes a combining function, this is the name of the CombineValues instruction lifted into this instruction.gogol-dataflowAThe codec to use for interpreting an element in the input PTable.gogol-dataflowIf this instruction includes a combining function this is the name of the intermediate store between the GBK and the CombineValues.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowThe number of outputs.gogol-dataflowAInformation about each of the outputs, if user_fn is a MultiDoFn.gogol-dataflowZero or more side inputs.gogol-dataflow The input.gogol-dataflowThe user function to invoke.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow Whether this source is stateful.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow.The maximum value present in the distribution.gogol-dataflow@The count of the number of elements present in the distribution.gogol-dataflow.The minimum value present in the distribution.gogol-dataflow:(Optional) Histogram of value counts for the distribution.gogol-dataflowBUse a double since the sum of squares is likely to overflow int64.gogol-dataflowUse an int64 since we'd prefer the added precision. If overflow is a common problem we can detect it and use an additional int64 or a double.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowProperties of the object.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflow-Additional information for Read instructions.gogol-dataflow.Additional information for Write instructions.gogol-dataflow.Additional information for ParDo instructions.gogol-dataflow:Additional information for PartialGroupByKey instructions.gogol-dataflow)Describes the outputs of the instruction.gogol-dataflow%User-provided name of this operation.gogol-dataflowBSystem-defined name of this operation. Unique across the workflow.gogol-dataflow0Additional information for Flatten instructions.gogol-dataflowESystem-defined name for the operation in the original workflow graph.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowProperties of the object.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow+Map from user step names to state families.gogol-dataflow-Set of computation configuration information.gogol-dataflowIf present, the worker must use this endpoint to communicate with Windmill Service dispatchers, otherwise the worker must continue to use whatever endpoint it had been using.gogol-dataflowIf present, the worker must use this port to communicate with Windmill Service dispatchers. Only applicable when windmill_service_endpoint is specified.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow6The service-generated short identifier for the metric.gogol-dataflowTThe index of the corresponding metric in the ReportWorkItemStatusRequest. Required.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow#The location which contains the jobgogol-dataflowThe WorkerMessages to send.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow DEPRECATEDgogol-dataflow DEPRECATEDgogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow{The id of the tag the user code will access this side input by; this should correspond to the tag of some MultiOutputInfo.gogol-dataflow=How to interpret the source element(s) as a side input value.gogol-dataflowThe source(s) to read element(s) from to get the value of this side input. If more than one source, then the elements are taken from the sources, in the specified order if order matters. At least one source is required.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow`User name for the original user transform with which this transform is most closely associated.gogol-dataflowHHuman-readable name for this transform; may be user or system generated.gogol-dataflow0Dataflow service generated name for this source.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow>A mapping from each stage to the information about that stage.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowProperties of the object.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow5If true, this family corresponds to a read operation.gogol-dataflowThe state family value.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowThe name of the data disk where data for this range is stored. This name is local to the Google Cloud Platform project and uniquely identifies the disk within that project, for example "myproject-1014-104817-4c2-harness-0-disk-1".gogol-dataflow'The start (inclusive) of the key range.gogol-dataflow%The end (exclusive) of the key range.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow*The current number of workers the job has.gogol-dataflowWThe time this event was emitted to indicate a new target or current num_workers value.gogol-dataflow(The type of autoscaling event to report.gogol-dataflowDThe target number of workers the worker pool wants to resize to use.gogol-dataflowA short and friendly name for the worker pool this event refers to, populated from the value of PoolStageRelation::user_pool_name.gogol-dataflowA message describing why the system decided to adjust the current number of workers, why it failed, or why the system decided to not make any changes to the number of workers.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow(Specification of the source to be split.gogol-dataflow'Hints for tuning the splitting process.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow&Messages in ascending timestamp order.gogol-dataflow?The token to obtain the next page of results if there are more.gogol-dataflow0Autoscaling events in ascending timestamp order.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:     gogol-dataflowzIf set, specifies the pubsub subscription that will be used for tracking custom time timestamps for watermark estimation.gogol-dataflow9Indicates whether the pipeline allows late-arriving data. gogol-dataflowIf set, contains a pubsub label from which to extract record timestamps. If left empty, record timestamps will be generated upon arrival. gogol-dataflowIf set, contains a pubsub label from which to extract record ids. If left empty, record deduplication will be strictly best effort. gogol-dataflow?A pubsub topic, in the form of "pubsub.googleapis.com/topics//" gogol-dataflow@If true, then the client has requested to get pubsub attributes. gogol-dataflowNA pubsub subscription, in the form of "pubsub.googleapis.com/subscriptions//"gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowElements of the list.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowThe index (origin zero) of the parallel instruction that produces the output to be consumed by this input. This index is relative to the list of instructions in this input's instruction's containing MapTask.gogol-dataflow3The output index (origin zero) within the producer.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow%Information about each of the inputs.gogol-dataflow.The user-provided name of the SeqDo operation.gogol-dataflow&Information about each of the outputs.gogol-dataflowGSystem-defined name of the SeqDo operation. Unique across the workflow.gogol-dataflow]System-defined name of the stage containing the SeqDo operation. Unique across the workflow.gogol-dataflowThe user function to invoke.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflow The name of the execution stage.gogol-dataflow7The time at which the stage transitioned to this state.gogol-dataflowAExecutions stage states allow the same set of values as JobState. gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:!"#$!gogol-dataflow"Size of the source, if measurable."gogol-dataflowEHuman-readable name for this source; may be user or system generated.#gogol-dataflow0Dataflow service generated name for this source.$gogol-dataflowkUser name for the original user transform or collection with which this source is most closely associated.%gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:&'()*+&gogol-dataflow.Information about a request to split a source.'gogol-dataflow;Information about a request to get metadata about a source.(gogol-dataflow;User-provided name of the Read instruction for this source.)gogol-dataflowYSystem-defined name of the Read instruction for this source. Unique across the workflow.*gogol-dataflow^System-defined name of the stage containing the source operation. Unique across the workflow.+gogol-dataflow]System-defined name for the Read instruction for this source in the original workflow graph.,gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:-./-gogol-dataflow&InstanceId accessed in the connection..gogol-dataflow&DatabaseId accessed in the connection./gogol-dataflow%ProjectId accessed in the connection.0gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:11gogol-dataflowA list of the leased WorkItems.2gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:3456783gogol-dataflowPosition is a byte offset.4gogol-dataflow#CloudPosition is a concat position.5gogol-dataflowPosition is a record index.6gogol-dataflowNCloudPosition is a base64 encoded BatchShufflePosition (with FIXED sharding).7gogol-dataflow4Position is a string key, ordered lexicographically.8gogol-dataflow^Position is past all other positions. Also useful for the end position of an unbounded range.9gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired::;:gogol-dataflowValue for this parameter.;gogol-dataflowKey or name for this parameter.!Sgogol-dataflowTgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflowEgogol-dataflowFSgogol-dataflowTUgogol-dataflowV[gogol-dataflow\vgogol-dataflowwgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflow#gogol-dataflow$.gogol-dataflow/0gogol-dataflow1Rgogol-dataflowS}gogol-dataflow~gogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflow}\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~           !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMN OP!QR"STUVWXYZ[\]^_`a#bcdef$ghi%jkl&mn'opqrstuvwxyz{|}~()*+,-./0123456789:;<=>?@ABCDE  F  G   H  I     J              ! "K # $L % & 'M ( ) * +N , - . / 0 1O 2 3 4 5 6 7P 8 9 : ;Q < = > ? @ A BR C DSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None.27<gogol-dataflow%Default request referring to version v1b3v of the Dataflow API. This contains the host and root path used as a starting point for constructing service requests.=gogol-dataflow4View and manage your Google Compute Engine resources>gogol-dataflowView your email address?gogol-dataflow?View and manage your data across Google Cloud Platform services@gogol-dataflow)View your Google Compute Engine resourcesA  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@A<=>?@RSTQUVWXYZ[P\]^_O`abcdeNfghijkMlmnoLpqrKstJuvwxyz{|}~IHGFEDCBA@?>=<;:9876543210/.-,+*     )(' !"#$%&'(&)*%+,-$./0#12345"6789:;<=>?@ABCD!EF GHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~{|}~     wxyzrstuvmnopqbcdefghijklUVWXYZ[\]^_`a      !"#$LMNOPQRST%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJFGHIJKKLMNOPQABCDERSTUVWXYZ[\]^_`abcdefghijklmnopq789:;<=>?@456rstuvwxyz{|}~'()*+,-./0123 !"#$%&         !"#$%&'()*+,-./0123456789:;(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV $3Agogol-dataflow.List the jobs of a project across all regions.See: C smart constructor.Bgogol-dataflowA resource alias for !dataflow.projects.jobs.aggregated method which the A request conforms to.Cgogol-dataflowCreates a value of A4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: DEFGHIJKLMNDgogol-dataflowV1 error format.Egogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").Fgogol-dataflow$The location that contains this job.Ggogol-dataflowOAuth access token.Hgogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").Igogol-dataflowKLevel of information requested in response. Default is `JOB_VIEW_SUMMARY`.Jgogol-dataflowThe kind of filter to use.Kgogol-dataflowmSet this to the 'next_page_token' field of a previous response to request additional results in a long list.Lgogol-dataflow The project which owns the jobs.Mgogol-dataflowIf there are many jobs, limit response to at most this many. The actual number of jobs returned will be the lesser of max_responses and an unspecified server-defined limit.Ngogol-dataflowJSONPCgogol-dataflowLABCDEFGHIJKLMNBCADEFGHIJKLMN(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV 5 Tgogol-dataflowCreates a Cloud Dataflow job.See: V smart constructor.Ugogol-dataflowA resource alias for dataflow.projects.jobs.create method which the T request conforms to.Vgogol-dataflowCreates a value of T4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: WXYZ[\]^_`Wgogol-dataflowV1 error format.Xgogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").Ygogol-dataflow$The location that contains this job.Zgogol-dataflowOAuth access token.[gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").\gogol-dataflowMultipart request metadata.]gogol-dataflow/The level of information requested in response.^gogol-dataflow=The ID of the Cloud Platform project that the job belongs to._gogol-dataflow1Deprecated. This field is now in the Job message.`gogol-dataflowJSONPVgogol-dataflow\gogol-dataflow^ TUVWXYZ[\]^_` UVTWXYZ[\]^_`(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV Ev fgogol-dataflow=Get encoded debug configuration for component. Not cacheable.See: h smart constructor.ggogol-dataflowA resource alias for &dataflow.projects.jobs.debug.getConfig method which the f request conforms to.hgogol-dataflowCreates a value of f4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:ijklmnopigogol-dataflowV1 error format.jgogol-dataflow The job id.kgogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").lgogol-dataflowOAuth access token.mgogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").ngogol-dataflowMultipart request metadata.ogogol-dataflowThe project id.pgogol-dataflowJSONPhgogol-dataflowjgogol-dataflowngogol-dataflowo fghijklmnop ghfijklmnop(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV T vgogol-dataflow.Send encoded debug capture data for component.See: x smart constructor.wgogol-dataflowA resource alias for (dataflow.projects.jobs.debug.sendCapture method which the v request conforms to.xgogol-dataflowCreates a value of v4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:yz{|}~ygogol-dataflowV1 error format.zgogol-dataflow The job id.{gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").|gogol-dataflowOAuth access token.}gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").~gogol-dataflowMultipart request metadata.gogol-dataflowThe project id.gogol-dataflowJSONPxgogol-dataflowzgogol-dataflow~gogol-dataflow vwxyz{|}~ wxvyz{|}~(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV e] gogol-dataflow3Gets the state of the specified Cloud Dataflow job.See:  smart constructor.gogol-dataflowA resource alias for dataflow.projects.jobs.get method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflowV1 error format.gogol-dataflow The job ID.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflow$The location that contains this job.gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflow/The level of information requested in response.gogol-dataflow=The ID of the Cloud Platform project that the job belongs to.gogol-dataflowJSONPgogol-dataflowgogol-dataflow  (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV v gogol-dataflowRequest the job status.See:  smart constructor.gogol-dataflowA resource alias for !dataflow.projects.jobs.getMetrics method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflowV1 error format.gogol-dataflowThe job to get messages for.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflow8The location which contains the job specified by job_id.gogol-dataflow~Return only metric data that has changed since this time. Default is to return all information about all metrics for the job.gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflow A project id.gogol-dataflowJSONPgogol-dataflowgogol-dataflow  (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV Zgogol-dataflow-List the jobs of a project in a given region.See:  smart constructor.gogol-dataflowA resource alias for dataflow.projects.jobs.list method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflowV1 error format.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflow$The location that contains this job.gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowKLevel of information requested in response. Default is `JOB_VIEW_SUMMARY`.gogol-dataflowThe kind of filter to use.gogol-dataflowmSet this to the 'next_page_token' field of a previous response to request additional results in a long list.gogol-dataflow The project which owns the jobs.gogol-dataflowIf there are many jobs, limit response to at most this many. The actual number of jobs returned will be the lesser of max_responses and an unspecified server-defined limit.gogol-dataflowJSONPgogol-dataflow (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV gogol-dataflowRequest the job status.See:  smart constructor.gogol-dataflowA resource alias for $dataflow.projects.jobs.messages.list method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflowV1 error format.gogol-dataflowThe job to get messages about.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflow8The location which contains the job specified by job_id.gogol-dataflowIf specified, return only messages with timestamps >= start_time. The default is the job creation time (i.e. beginning of messages).gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowwReturn only messages with timestamps < end_time. The default is now (i.e. return up to the latest messages available).gogol-dataflow4Filter to only get messages with importance >= levelgogol-dataflowIf supplied, this should be the value of next_page_token returned by an earlier call. This will cause the next page of results to be returned.gogol-dataflow A project id.gogol-dataflowIf specified, determines the maximum number of messages to return. If unspecified, the service may choose an appropriate default, or may return an arbitrarily large number of results.gogol-dataflowJSONPgogol-dataflowgogol-dataflow (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV gogol-dataflow&Snapshot the state of a streaming job.See:  smart constructor.gogol-dataflowA resource alias for dataflow.projects.jobs.snapshot method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowV1 error format.gogol-dataflowThe job to be snapshotted.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowMultipart request metadata.gogol-dataflow1The project which owns the job to be snapshotted.gogol-dataflowJSONPgogol-dataflowgogol-dataflowgogol-dataflow   (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV Ǐ gogol-dataflow4Updates the state of an existing Cloud Dataflow job.See:  smart constructor.gogol-dataflowA resource alias for dataflow.projects.jobs.update method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflowV1 error format.gogol-dataflow The job ID.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflow$The location that contains this job.gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowMultipart request metadata.gogol-dataflow=The ID of the Cloud Platform project that the job belongs to.gogol-dataflowJSONPgogol-dataflowgogol-dataflowgogol-dataflow   (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV ׵ gogol-dataflow"Leases a dataflow WorkItem to run.See:  smart constructor.gogol-dataflowA resource alias for &dataflow.projects.jobs.workItems.lease method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowV1 error format.gogol-dataflow3Identifies the workflow job this worker belongs to.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowMultipart request metadata.gogol-dataflow.Identifies the project this worker belongs to.gogol-dataflowJSONPgogol-dataflowgogol-dataflowgogol-dataflow   (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV  gogol-dataflow<Reports the status of dataflow WorkItems leased by a worker.See:  smart constructor.gogol-dataflowA resource alias for -dataflow.projects.jobs.workItems.reportStatus method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:   gogol-dataflowV1 error format.gogol-dataflow&The job which the WorkItem is part of.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart"). gogol-dataflowMultipart request metadata. gogol-dataflow*The project which owns the WorkItem's job. gogol-dataflowJSONPgogol-dataflowgogol-dataflow gogol-dataflow       (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV 1 gogol-dataflowCreates a Cloud Dataflow job.See:  smart constructor.gogol-dataflowA resource alias for 'dataflow.projects.locations.jobs.create method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflowV1 error format.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflow$The location that contains this job.gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowMultipart request metadata.gogol-dataflow/The level of information requested in response.gogol-dataflow=The ID of the Cloud Platform project that the job belongs to.gogol-dataflow1Deprecated. This field is now in the Job message.gogol-dataflowJSONPgogol-dataflowgogol-dataflowgogol-dataflow  (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV H #gogol-dataflow=Get encoded debug configuration for component. Not cacheable.See: % smart constructor.$gogol-dataflowA resource alias for 0dataflow.projects.locations.jobs.debug.getConfig method which the # request conforms to.%gogol-dataflowCreates a value of #4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: &'()*+,-.&gogol-dataflowV1 error format.'gogol-dataflow The job id.(gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").)gogol-dataflow8The location which contains the job specified by job_id.*gogol-dataflowOAuth access token.+gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").,gogol-dataflowMultipart request metadata.-gogol-dataflowThe project id..gogol-dataflowJSONP%gogol-dataflow'gogol-dataflow)gogol-dataflow,gogol-dataflow- #$%&'()*+,-. $%#&'()*+,-.(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV # 4gogol-dataflow.Send encoded debug capture data for component.See: 6 smart constructor.5gogol-dataflowA resource alias for 2dataflow.projects.locations.jobs.debug.sendCapture method which the 4 request conforms to.6gogol-dataflowCreates a value of 44 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: 789:;<=>?7gogol-dataflowV1 error format.8gogol-dataflow The job id.9gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").:gogol-dataflow8The location which contains the job specified by job_id.;gogol-dataflowOAuth access token.<gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").=gogol-dataflowMultipart request metadata.>gogol-dataflowThe project id.?gogol-dataflowJSONP6gogol-dataflow8gogol-dataflow:gogol-dataflow=gogol-dataflow> 456789:;<=>? 564789:;<=>?(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV -I Egogol-dataflow3Gets the state of the specified Cloud Dataflow job.See: G smart constructor.Fgogol-dataflowA resource alias for $dataflow.projects.locations.jobs.get method which the E request conforms to.Ggogol-dataflowCreates a value of E4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: HIJKLMNOPHgogol-dataflowV1 error format.Igogol-dataflow The job ID.Jgogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").Kgogol-dataflow$The location that contains this job.Lgogol-dataflowOAuth access token.Mgogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").Ngogol-dataflow/The level of information requested in response.Ogogol-dataflow=The ID of the Cloud Platform project that the job belongs to.Pgogol-dataflowJSONPGgogol-dataflowIgogol-dataflowKgogol-dataflowO EFGHIJKLMNOP FGEHIJKLMNOP(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV ?+ Vgogol-dataflowRequest the job status.See: X smart constructor.Wgogol-dataflowA resource alias for +dataflow.projects.locations.jobs.getMetrics method which the V request conforms to.Xgogol-dataflowCreates a value of V4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: YZ[\]^_`aYgogol-dataflowV1 error format.Zgogol-dataflowThe job to get messages for.[gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").\gogol-dataflow8The location which contains the job specified by job_id.]gogol-dataflow~Return only metric data that has changed since this time. Default is to return all information about all metrics for the job.^gogol-dataflowOAuth access token._gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").`gogol-dataflow A project id.agogol-dataflowJSONPXgogol-dataflowZgogol-dataflow\gogol-dataflow` VWXYZ[\]^_`a WXVYZ[\]^_`a(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV U(ggogol-dataflow-List the jobs of a project in a given region.See: i smart constructor.hgogol-dataflowA resource alias for %dataflow.projects.locations.jobs.list method which the g request conforms to.igogol-dataflowCreates a value of g4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: jklmnopqrstjgogol-dataflowV1 error format.kgogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").lgogol-dataflow$The location that contains this job.mgogol-dataflowOAuth access token.ngogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").ogogol-dataflowKLevel of information requested in response. Default is `JOB_VIEW_SUMMARY`.pgogol-dataflowThe kind of filter to use.qgogol-dataflowmSet this to the 'next_page_token' field of a previous response to request additional results in a long list.rgogol-dataflow The project which owns the jobs.sgogol-dataflowIf there are many jobs, limit response to at most this many. The actual number of jobs returned will be the lesser of max_responses and an unspecified server-defined limit.tgogol-dataflowJSONPigogol-dataflowlgogol-dataflowrghijklmnopqrsthigjklmnopqrst(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV p6zgogol-dataflowRequest the job status.See: | smart constructor.{gogol-dataflowA resource alias for .dataflow.projects.locations.jobs.messages.list method which the z request conforms to.|gogol-dataflowCreates a value of z4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: }~}gogol-dataflowV1 error format.~gogol-dataflowThe job to get messages about.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflow8The location which contains the job specified by job_id.gogol-dataflowIf specified, return only messages with timestamps >= start_time. The default is the job creation time (i.e. beginning of messages).gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowwReturn only messages with timestamps < end_time. The default is now (i.e. return up to the latest messages available).gogol-dataflow4Filter to only get messages with importance >= levelgogol-dataflowIf supplied, this should be the value of next_page_token returned by an earlier call. This will cause the next page of results to be returned.gogol-dataflow A project id.gogol-dataflowIf specified, determines the maximum number of messages to return. If unspecified, the service may choose an appropriate default, or may return an arbitrarily large number of results.gogol-dataflowJSONP|gogol-dataflow~gogol-dataflowgogol-dataflowz{|}~{|z}~(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV a gogol-dataflow&Snapshot the state of a streaming job.See:  smart constructor.gogol-dataflowA resource alias for )dataflow.projects.locations.jobs.snapshot method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflowV1 error format.gogol-dataflowThe job to be snapshotted.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflow$The location that contains this job.gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowMultipart request metadata.gogol-dataflow1The project which owns the job to be snapshotted.gogol-dataflowJSONPgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflow  (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV gogol-dataflow4Updates the state of an existing Cloud Dataflow job.See:  smart constructor.gogol-dataflowA resource alias for 'dataflow.projects.locations.jobs.update method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflowV1 error format.gogol-dataflow The job ID.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflow$The location that contains this job.gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowMultipart request metadata.gogol-dataflow=The ID of the Cloud Platform project that the job belongs to.gogol-dataflowJSONPgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflow  (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV + gogol-dataflow"Leases a dataflow WorkItem to run.See:  smart constructor.gogol-dataflowA resource alias for 0dataflow.projects.locations.jobs.workItems.lease method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflowV1 error format.gogol-dataflow3Identifies the workflow job this worker belongs to.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflow/The location which contains the WorkItem's job.gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowMultipart request metadata.gogol-dataflow.Identifies the project this worker belongs to.gogol-dataflowJSONPgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflow  (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV  gogol-dataflow<Reports the status of dataflow WorkItems leased by a worker.See:  smart constructor.gogol-dataflowA resource alias for 7dataflow.projects.locations.jobs.workItems.reportStatus method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflowV1 error format.gogol-dataflow&The job which the WorkItem is part of.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflow/The location which contains the WorkItem's job.gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowMultipart request metadata.gogol-dataflow*The project which owns the WorkItem's job.gogol-dataflowJSONPgogol-dataflowgogol-dataflowgogol-dataflowgogol-dataflow  (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV Ƹ gogol-dataflow-Creates a Cloud Dataflow job from a template.See:  smart constructor.gogol-dataflowA resource alias for ,dataflow.projects.locations.templates.create method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:gogol-dataflowV1 error format.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflow,The location to which to direct the request.gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowMultipart request metadata.gogol-dataflowGRequired. The ID of the Cloud Platform project that the job belongs to.gogol-dataflowJSONPgogol-dataflowgogol-dataflowgogol-dataflow  (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV ٽ gogol-dataflow,Get the template associated with a template.See:  smart constructor.gogol-dataflowA resource alias for )dataflow.projects.locations.templates.get method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflowV1 error format.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflow,The location to which to direct the request.gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowRequired. A Cloud Storage path to the template from which to create the job. Must be valid Cloud Storage URL, beginning with 'gs://'.gogol-dataflow0The view to retrieve. Defaults to METADATA_ONLY.gogol-dataflowGRequired. The ID of the Cloud Platform project that the job belongs to.gogol-dataflowJSONPgogol-dataflowgogol-dataflow  (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV gogol-dataflowLaunch a template.See:  smart constructor.gogol-dataflowA resource alias for ,dataflow.projects.locations.templates.launch method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: gogol-dataflowV1 error format.gogol-dataflowPIf true, the request is validated but not actually executed. Defaults to false.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflow,The location to which to direct the request.gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowMultipart request metadata.gogol-dataflowhCloud Storage path for staging dependencies. Must be a valid Cloud Storage URL, beginning with `gs://`.gogol-dataflow|A Cloud Storage path to the template from which to create the job. Must be valid Cloud Storage URL, beginning with 'gs://'.gogol-dataflowGRequired. The ID of the Cloud Platform project that the job belongs to.gogol-dataflowJSONPgogol-dataflowmPath to dynamic template spec file on GCS. The file must be a Json serialized DynamicTemplateFieSpec object.gogol-dataflowgogol-dataflowgogol-dataflow(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV  gogol-dataflow%Send a worker_message to the service.See:   smart constructor. gogol-dataflowA resource alias for *dataflow.projects.locations.workerMessages method which the  request conforms to. gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:    gogol-dataflowV1 error format. gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart"). gogol-dataflow#The location which contains the jobgogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowMultipart request metadata.gogol-dataflow*The project to send the WorkerMessages to.gogol-dataflowJSONP gogol-dataflow gogol-dataflowgogol-dataflow            (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV  gogol-dataflow-Creates a Cloud Dataflow job from a template.See:  smart constructor.gogol-dataflowA resource alias for "dataflow.projects.templates.create method which the  request conforms to.gogol-dataflowCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: !gogol-dataflowV1 error format.gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").gogol-dataflowOAuth access token.gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").gogol-dataflowMultipart request metadata. gogol-dataflowGRequired. The ID of the Cloud Platform project that the job belongs to.!gogol-dataflowJSONPgogol-dataflowgogol-dataflow  !  !(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV #~ 'gogol-dataflow,Get the template associated with a template.See: ) smart constructor.(gogol-dataflowA resource alias for dataflow.projects.templates.get method which the ' request conforms to.)gogol-dataflowCreates a value of '4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: *+,-./012*gogol-dataflowV1 error format.+gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").,gogol-dataflow,The location to which to direct the request.-gogol-dataflowOAuth access token..gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart")./gogol-dataflowRequired. A Cloud Storage path to the template from which to create the job. Must be valid Cloud Storage URL, beginning with 'gs://'.0gogol-dataflow0The view to retrieve. Defaults to METADATA_ONLY.1gogol-dataflowGRequired. The ID of the Cloud Platform project that the job belongs to.2gogol-dataflowJSONP)gogol-dataflow1 '()*+,-./012 ()'*+,-./012(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV :8gogol-dataflowLaunch a template.See: : smart constructor.9gogol-dataflowA resource alias for "dataflow.projects.templates.launch method which the 8 request conforms to.:gogol-dataflowCreates a value of 84 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: ;<=>?@ABCDEF;gogol-dataflowV1 error format.<gogol-dataflowPIf true, the request is validated but not actually executed. Defaults to false.=gogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").>gogol-dataflow,The location to which to direct the request.?gogol-dataflowOAuth access token.@gogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").Agogol-dataflowMultipart request metadata.Bgogol-dataflowhCloud Storage path for staging dependencies. Must be a valid Cloud Storage URL, beginning with `gs://`.Cgogol-dataflow|A Cloud Storage path to the template from which to create the job. Must be valid Cloud Storage URL, beginning with 'gs://'.Dgogol-dataflowGRequired. The ID of the Cloud Platform project that the job belongs to.Egogol-dataflowJSONPFgogol-dataflowmPath to dynamic template spec file on GCS. The file must be a Json serialized DynamicTemplateFieSpec object.:gogol-dataflowAgogol-dataflowD89:;<=>?@ABCDEF9:8;<=>?@ABCDEF (c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None "#.27=?HUV I Lgogol-dataflow%Send a worker_message to the service.See: N smart constructor.Mgogol-dataflowA resource alias for  dataflow.projects.workerMessages method which the L request conforms to.Ngogol-dataflowCreates a value of L4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:OPQRSTUOgogol-dataflowV1 error format.Pgogol-dataflow4Upload protocol for media (e.g. "raw", "multipart").Qgogol-dataflowOAuth access token.Rgogol-dataflow=Legacy upload protocol for media (e.g. "media", "multipart").Sgogol-dataflowMultipart request metadata.Tgogol-dataflow*The project to send the WorkerMessages to.Ugogol-dataflowJSONPNgogol-dataflowSgogol-dataflowT LMNOPQRSTU MNLOPQRSTU!(c) 2015-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None.UV N1[gogol-dataflow\Represents the entirety of the methods and resources available for the Dataflow API service.  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNTUVWXYZ[\]^_`fghijklmnopvwxyz{|}~   #$%&'()*+,-.456789:;<=>?EFGHIJKLMNOPVWXYZ[\]^_`aghijklmnopqrstz{|}~      !'()*+,-./01289:;<=>?@ABCDEFLMNOPQRSTU[B<=>?@[RSTQUVWXYZ[P\]^_O`abcdeNfghijkMlmnoLpqrKstJuvwxyz{|}~IHGFEDCBA@?>=<;:9876543210/.-,+*     )(' !"#$%&'(&)*%+,-$./0#12345"6789:;<=>?@ABCD!EF GHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~{|}~     wxyzrstuvmnopqbcdefghijklUVWXYZ[\]^_`a      !"#$LMNOPQRST%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJFGHIJKKLMNOPQABCDERSTUVWXYZ[\]^_`abcdefghijklmnopq789:;<=>?@456rstuvwxyz{|}~'()*+,-./0123 !"#$%&         !"#$%&'()*+,-./0123456789:; E"$"%"&"'"(")"*"+","-"."/"0"1"2"3"4"5"6"7"8"9":";"<"=">"?"@"A"B"C"D"E"F"G"H"I"J"K"L"M"N"O"P"Q"R"S"T"U"V"W"X"Y"Z"["\"]"^"_"`"a"b"c"d"e"f"g"h"i"j"k"l"m"n"o"p"q"r"s"t"u"v"w"x"y"z"{"|"}"~"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""############################################################## # # # # ################### #!#"###$#%#&#'#(#)#*#+#,#-#.#/#0#1#2#3#4#5#6#7#8#9#:#;#<#=#>#?#@#A#B#C#D#E#F#G#H#I#J#K#L#M#N#O#P#Q#R#S#T#U#V#W#X#Y#Z#[#\#]#^#_#`#a#b#c#d#e#f#g#h#i#j#k#l#m#n#o#p#q#r#s#t#u#v#w#x#y#z#{#|#}#~########################################################################################################################################### # # # # ################### #!#"###$#%#&#'#(#)#*#+#,#-#.#/#0#1#2#3#4#5#6#7#8#9#:#;#<#=#>#?#@#A#B#C#D#E#F#G#H#I#J#K#L#M#N#O#P#Q#R#S#T#U#V#W#X#Y#Z#[#\#]#^#_#`#a#b#c#d#e#f#g#h#i#j#k#l#m#n#o#p#q#r#s#t#u#v#w#x#y#z#{#|#}#~########################################################################################################################################### # # # # ################### #!#"###$#%#&#'#(#)#*#+#,#-#.#/#0#1#2#3#4#5#6#7#8#9#:#;#<#=#>#?#@#A#B#C#D#E#F#G#H#I#J#K#L#M#N#O#P#Q#R#S#T#U#V#W#X#Y#Z#[#\#]#^#_#`#a#b#c#d#e#f#g#h#i#j#k#l#m#n#o#p#q#r#s#t#u#v#w#x#y#z#{#|#}#~########################################################################################################################################### # # # # ################### #!#"###$#%#&#'#(#)#*#+#,#-#.#/#0#1#2#3#4#5#6#7#8#9#:#;#<#=#>#?#@#A#B#C#D#E#F#G#H#I#J#K#L#M#N#O#P#Q#R#S#T#U#V#W#X#Y#Z#[#\#]#^#_`abcdefghijklmnopqrstuvwxyz{|}~                                                                   ! " # $ % & ' ( ) * + , - . / 0 1 2 3 456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmno p q r s t u v w x y z { | } ~!########################################################################################################################################## # # # # ################### #!#"###$#%#&#'#(#)#*#+#,#-#.#/#0#1#2#3#4#5#6#7#8#9#:#;#<#=#>#?#@#A#B#C#D#E#F#G#H#I#J#K#L#M#N#O#P#Q#R#S#T#U#V#W#X#Y#Z#[#\#]#^#_#`#a#b#c#d#e#f#g#h#i#j#k#l#m#n#o#p#q#r#s#t#u#v#w#x#y#z#{#|#}#~########################################################################################################################################### # # # # ################### #!#"###$#%#&#'#(#)#*#+#,#-#.#/#0#1#2#3#4#5#6#7#8#9#:#;#<#=#>#?#@#A#B#C#D#E#F#G#H#I#J#K#L#M#N#O#P#Q#R#S#T#U#V#W#X#Y#Z#[#\#]#^#_#`#a#b#c#d#e#f#g#h#i#j#k#l#m#n#o#p#q#r#s#t#u#v#w#x#y#z#{#|#}#~################################################################################################################################## # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # !# "# ## $# %# &# '# (# )# *# +# ,# -# .# /# 0# 1# 2# 3# 4# 5# 6# 7# 8# 9# :# ;# <# =# ># ?# @# A# B# C# D# E# F# G# H# I# J# K# L# M# N# O# P# Q# R# S# T# U# V# W# X# Y# Z# [# \# ]# ^# _# `# a# b# c# d# e# f# g# h i+gogol-dataflow-0.4.0-3JQL14p7A16KlOtsdaG1RCNetwork.Google.Dataflow.Types9Network.Google.Resource.Dataflow.Projects.Jobs.Aggregated5Network.Google.Resource.Dataflow.Projects.Jobs.Create>Network.Google.Resource.Dataflow.Projects.Jobs.Debug.GetConfig@Network.Google.Resource.Dataflow.Projects.Jobs.Debug.SendCapture2Network.Google.Resource.Dataflow.Projects.Jobs.Get9Network.Google.Resource.Dataflow.Projects.Jobs.GetMetrics3Network.Google.Resource.Dataflow.Projects.Jobs.ListNetwork.Google.Resource.Dataflow.Projects.Jobs.WorkItems.LeaseENetwork.Google.Resource.Dataflow.Projects.Jobs.WorkItems.ReportStatus?Network.Google.Resource.Dataflow.Projects.Locations.Jobs.CreateHNetwork.Google.Resource.Dataflow.Projects.Locations.Jobs.Debug.GetConfigJNetwork.Google.Resource.Dataflow.Projects.Locations.Jobs.Debug.SendCapture