It turns out that the existing code for chunking a table when taking
an incremental snapshot was buggy and did not correctly handle NULL
values when building the chunk query. An example of such a situation
would be when the user has specified "message.key.columns" to reference
a column that is part of a PostgreSQL UNIQUE INDEX that was created with
the NULLS NOT DISTINCT option.
This commit updates the new AbstractChunkQueryBuilder so that it checks
whether a key column is optional. If it is, then additional will
appropriately consider NULL values when generating a chunk query using
"IS [NOT] NULL" clauses.
One complication is that different database engines have different
sorting behavior of ORDER BY. It is apparently not well-defined by the
SQL standard. Some databases consider NULL values to be higher than any
non-NULL values, and others consider them to be lower.
To handle this situation, a new nullsSortLast() function is added to the
JdbcConnection class. By default, it returns an empty value, indicating
that the behavior of the database engine is unknown. When an optional
field is encountered by AbstractChunkQueryBuilder in this situation, we
throw an error because we don't actually know how to correctly chunk the
query: there's no safe assumption that can be made here.
Derived JdbcConnection classes can then override the nullsSortLast
function, and return a value indicating the actual behavior of that
database engine. When this is done, the AbstractChunkQueryBuilder then
knows how to correctly build a chunk query that can handle NULL values.
To help test this, new tests have been added to
AbstractIncrementalSnapshotTest. First, the existing insertsWithoutPks
test has been moved and deduplicated from MySQL and PostgreSQL so that
the test case can be reused on other engines. Second, a new
insertsWithoutPksAndNull test is run, which inserts data with NULL
values in the message key columns. To demonstrate that chunk queries
are being correctly generated for practically every case, the
INCREMENTAL_SNAPSHOT_CHUNK_SIZE is set to 1 so that NULL values are not
returned in the middle of a chunk, which can cause us to skip testing
the code we need to test.
This will avoid that channels that not depends on the event streaming like the 'source' channel, will start processing signals before the IncrementalSnapshotChangeEventSource is initialized.
