debezium server
1. Support for string and binary serialization formats on debezium api.
2. Allow configuring separate key and value formats on embedded engine.
This change fixes the following issue using outbox event router on
embedded engine:
Outbox event router supports arbitrary payload formats with
BinaryDataConverter as the value.converter which passes payload
transparently. However this is currently not supported with the
embedded engine which handles message conversion using value.format to
specify the format.
In addition, when we want to pass payload transparently, it makes
sense to also pass aggregateid i.e. the event key transparently. The
default outbox table configuration specifies aggregateid as a
varchar which is also not supported by embedded engine.
The default query builder has maximum SQL compatibility, but the query
plans it makes are not always optimal, especially in the case of
multi-column keys. For example, PostgreSQL is unable to to effectively
create a query plan that does index scanning when faced with such a
query.
Some databases support the concept of row value constructors. In
these cases, we can use these as an alternative to make a much more
simple and easier to understand query. Not only is it easier for
humans to understand, but most importantly, the query planner also gets
the hint and finally uses the relevant multi-column index! This commit
starts out with support for PostgreSQL and MySQL.
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.
If the logical replication slot has absolutely zero events in it, then
the searchWalPosition could be looping for quite some time. During
this time, it wasn't sending heartbeats.
This commit fixes that function to send heartbeats.
