# 0.7.2.0 Add compatibility with GHC 8.4 and stack nightly # 0.7.1.0 Note '0.7.1.0' was released because the signature of `delete` was too specific in '0.7.0.0' due to an error when uploading the package. # 0.7.0.0 ## Weaker functional dependencies on `MonadBeam` The functional dependency on `MonadBeam` is now just `m -> syntax be handle`. This allows us to define `MonadBeam` instances atop monad transformers (although we don't have any yet!). ## Correct boolean handling Previous versions of beam used the SQL `=` operator to compare potentially `NULL` values. This is incorrect, as `NULL = NULL => UNKNOWN` in ANSI-compliant implementations. Beam has changed its emitted SQL to produce proper comparisons, but this can dramatically affect performance in some backends. Particularly, proper JOIN index usage in Postgres requires an exact match on an equality constructor, which may not be what you get when using the proper boolean handling. If you are okay using SQL null handling, you can use the new `==?.` and `/=?.` operators which produce an expression with type `SqlBool` instead. `SqlBool` is a type that can represent the SQL `BOOL` type in all its gritty glory. Note however, that these operators do not compare for haskell equality, only SQL equality, so please understand what that means before using them. Correspondingly, many functions that took `Bool` expressions now have corresponding versions that take `SqlBool`. For example, to use `guard_` with a `SqlBool` expression use `guard_'` (note the prime). (Note: I don't really like that we have to do this, but this is the only way unless we introspect user expressions. Beam's philosophy is to be as direct as possible. The `==.` operator corresponds to haskell `==`, and so produces the boolean we would expect as Haskell programmers. The `==?.` operator is a new operator that users must explicitly opt in to. Both produce the most direct code possible on each backend.) ## Aggregations return `Maybe` types In previous versions of beam, aggregations such as `avg_`, `sum_`, etc returned the an expression of the same type as its inputs. However, this does not match standard SQL behavior, where these aggregates can return NULL if no rows are selected for the aggregation. This breaks older code, but is more correct. To restore the older behavior, use the `fromMaybe_` function to supply a default value. ## Miscellaneous name changes The `Database.Beam.Query.lookup` function was renamed to `lookup_` to avoid overlap with the `Prelude` function of the same name. ## Reintroduce explicit backends to `Database` class Some database entites only work on particular backends. For example, beam-postgres extension support only works in beam-postgres. The lack of a backend parameter on the `Database` type class essentially mandated that every database entity worked on every backend. By introducing a backend parameter to `Database`, we allow the user to restrict which backends a database can work on. The old behavior is still easily recovered. Whereas before you'd write ```haskell instance Database MyDatabase ``` Now write ```haskell instance Database be MyDatabase ``` ## Require backends to explicitly declare types that can be compared for equality Beam previously allowed any two types to be compared for SQL equality. This is no longer the case. Rather, only types that are instances of `HasSqlEqualityCheck` for the given expression syntax can be checked for equality. Correspondingly, only types that are instances of `HasSqlQuantifiedEqualityCheck` can be checked for quantified equality. This change is somewhat invasive, as the relationship and join operators depend on the ability to check primary keys for equality. You may have to add appropriate class constraints to your queries. In order to assert that a table can be compared for equality, you can use the `HasTableEquality` constraint synonym. ### For Backends Backend implementors should establish instances of `HasSqlEqualityCheck` and `HasSqlQuantifiedEqualityCheck` for every type that can be compared in their syntax. You may choose to implement a custom equality and inequality operator. Alternatively, you can leave the instances empty to use the defaults, which match the old behavior. ## Properly deal with NULL values in equality Previous versions of Beam would use SQL `=` and `<>` operators to compare potentially `NULL` values. However, `NULL = NULL` is always false, according to the SQL standard, so this behavior is incorrect. Now, Beam will generate a `CASE .. WHEN ..` statement to explicitly handle mismatching `NULL`s. This is the 'expected' behavior from the Haskell perspective, but does not match what one may expect in SQL. Note that it is always better to explicitly handle `NULL`s using `maybe_`, and beam recommends this approach in robust code. ## Remove `Auto` for fields with default values `Auto` was a convenience type for dealing with tables where some columns have been given a default value. `Auto` worked well enough but it was a very leaky abstraction. Moreover, it was unnecessary. Everything you can do with `Auto` can be done more safely with `default_`. For example, instead of using ```haskell insertValues [ Table1 (Auto Nothing) "Field Value" "Another Field Value" ] ``` use ```haskell insertExpressions [ Table1 default_ (val_ "Field Value") (val_ "Another Field Value") ] ``` # 0.6.0.0 * Mostly complete SQL92, SQL99 support * Piecemeal support for SQL2003 and SQL2008 features * Completely modular backends * Various bug improvements and fixes # 0.5.0.0 * Move to using finally tagless style for SQL generation * Split out backends from `beam-core` * Allow non-table entities to be stored in databases * Basic migrations support