1) Fix for BUG#19630 "stored function inserting into two auto_increment breaks
statement-based binlog":
a stored function inserting into two such tables may fail to replicate
(inserting wrong data in the slave's copy of the second table) if the slave's
second table had an internal auto_increment counter different from master's.
Because the auto_increment value autogenerated by master for the 2nd table
does not go into binlog, only the first does, so the slave lacks information.
To fix this, if running in mixed binlogging mode, if the stored function or
trigger plans to update two different tables both having auto_increment
columns, we switch to row-based for the whole function.
We don't have a simple solution for statement-based binlogging mode, there
the bug remains and will be documented as a known problem.
Re-enabling rpl_switch_stm_row_mixed.
2) Fix for BUG#20630 "Mixed binlogging mode does not work with stored
functions, triggers, views", which was a documented limitation (in mixed
mode, we didn't detect that a stored function's execution needed row-based
binlogging (due to some UUID() call for example); same for
triggers, same for views (a view created from a SELECT UUID(), and doing
INSERT INTO sometable SELECT theview; would not replicate row-based).
This is implemented by, after parsing a routine's body, remembering in sp_head
that this routine needs row-based binlogging. Then when this routine is used,
the caller is marked to require row-based binlogging too.
Same for views: when we parse a view and detect that its SELECT needs
row-based binary logging, we mark the calling LEX as such.
3) Fix for BUG#20499 "mixed mode with temporary table breaks binlog":
a temporary table containing e.g. UUID has its changes not binlogged,
so any query updating a permanent table with data from the temporary table
will run wrongly on slave. Solution: in mixed mode we don't switch back
from row-based to statement-based when there exists temporary tables.
4) Attempt to test mysqlbinlog on a binlog generated by mysqlbinlog;
impossible due to BUG#11312 and BUG#20329, but test is in place for when
they are fixed.
and BUG#19208 "Test 'rpl000017' hangs on Windows".
Both bugs are caused by attempting to delete an opened
file and to create immediatedly a new one with the same
name. On Windows it can be supported only on NT-platforms
(by using FILE_SHARE_DELETE mode and with renaming the
file before deletion). Because deleting not-closed files
is not supported on all platforms (e.g. Win 98|ME) this
is to be considered harmful and should be eliminated by
a "code redesign".
Post recent handler changes, fast count(*) for cluster was broken.
Seeing as we maintain an exact count for ndb, we can easily use this for an optimisation.
With this patch, and use_exact_count DISABLED, we will use the fast way
of getting count(*) but not use the exact count for the optimiser.
With this patch and use_exact_count ENABLED, we will use the fast way of
getting count(*) and use the exact count for the optimiser.
'SELECT DISTINCT a,b FROM t1' should not use temp table if there is unique
index (or primary key) on a.
There are a number of other similar cases that can be calculated without the
use of a temp table : multi-part unique indexes, primary keys or using GROUP BY
instead of DISTINCT.
When a GROUP BY/DISTINCT clause contains all key parts of a unique
index, then it is guaranteed that the fields of the clause will be
unique, therefore we can optimize away GROUP BY/DISTINCT altogether.
This optimization has two effects:
* there is no need to create a temporary table to compute the
GROUP/DISTINCT operation (or the temporary table will be smaller if only GROUP
is removed and DISTINCT stays or if DISTINCT is removed and GROUP BY stays)
* this causes the statement in effect to become updatable in Connector/Java
because the result set columns will be direct reference to the primary key of
the table (instead to the temporary table that it currently references).
Implemented a check that will optimize away GROUP BY/DISTINCT for queries like
the above.
Currently it will work only for single non-constant table in the FROM clause.
- make sure to allocate just enough pages in the fragments by using the actual
row count from the backup, to avoid over allocation of pages to fragments, and
thus avoid the bug
