Bloodhound
Elasticsearch client and query DSL for Haskell
Why?
Search doesn't have to be hard. Let the dog do it.
Endorsements
"Bloodhound makes Elasticsearch almost tolerable!" - Almost-gruntled user
"ES is a nightmare but Bloodhound at least makes it tolerable." - Same user, later opinion.
Version compatibility
As of version 0.13.0.0, Bloodhound has 2 separate module trees for
ElasticSearch versions 1 and 5. Import the module that is appropriate
for your use case. If you would like to add support for another major
version, open a ticket expressing your intend and follow the pattern
used for other versions. We weighed the idea of sharing code between
versions but it just got too messy, especially considering the
instability of the ElasticSearch API. We switched to a model which
would allow the persons responsible for a particular protocol version
to maintain that version while avoiding conflict with other versions.
See our TravisCI for a
listing of ElasticSearch version we test against.
Stability
Bloodhound is stable for production use. I will strive to avoid breaking API compatibility from here on forward, but dramatic features like a type-safe, fully integrated mapping API may require breaking things in the future.
Testing
The TravisCI tests are run using Stack. You should use Stack instead of cabal
to build and test Bloodhound to avoid compatibility problems. You will also need to have an ElasticSearch instance running at localhost:9200
in order to execute some of the tests. See the "Version compatibility" section above for a list of ElasticSearch versions that are officially validated against in TravisCI.
Steps to run the tests locally:
- Dig through the [past releases] (https://www.elastic.co/downloads/past-releases) section of the ElasticSearch download page and install the desired ElasticSearch versions.
- Install [Stack] (http://docs.haskellstack.org/en/stable/README.html#how-to-install)
- In your local Bloodhound directory, run
stack setup && stack build
- Start the desired version of ElasticSearch at
localhost:9200
, which should be the default.
- Run
stack test
in your local Bloodhound directory.
- The unit tests will pass if you re-execute
stack test
. If you want to start with a clean slate, stop your ElasticSearch instance, delete the data/
folder in the ElasticSearch installation, restart ElasticSearch, and re-run stack test
.
Hackage page and Haddock documentation
http://hackage.haskell.org/package/bloodhound
Elasticsearch Tutorial
It's not using Bloodhound, but if you need an introduction to or overview of Elasticsearch and how to use it, you can use this screencast.
Examples
See the examples directory for example code.
Contributors
Possible future functionality
Span Queries
Beginning here: https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-span-first-query.html
Function Score Query
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-function-score-query.html
Node discovery and failover
Might require TCP support.
Support for TCP access to Elasticsearch
Pretend to be a transport client?
Bulk cluster-join merge
Might require making a lucene index on disk with the appropriate format.
GeoShapeQuery
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-geo-shape-query.html
GeoShapeFilter
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-geo-shape-filter.html
Geohash cell filter
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-geohash-cell-filter.html
HasChild Filter
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-has-child-filter.html
HasParent Filter
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-has-parent-filter.html
Indices Filter
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-indices-filter.html
Query Filter
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-query-filter.html
Script based sorting
https://www.elastic.co/guide/en/elasticsearch/reference/current/search-request-sort.html#_script_based_sorting
Collapsing redundantly nested and/or structures
The Seminearring instance, if deeply nested can possibly produce nested structure that is redundant. Depending on how this affects ES performance, reducing this structure might be valuable.
Runtime checking for cycles in data structures
check for n > 1 occurrences in DFS:
http://hackage.haskell.org/package/stable-maps-0.0.5/docs/System-Mem-StableName-Dynamic.html
http://hackage.haskell.org/package/stable-maps-0.0.5/docs/System-Mem-StableName-Dynamic-Map.html
Photo Origin
Photo from HA! Designs: https://www.flickr.com/photos/hadesigns/