ANALYZE FORMAT=JSON output now includes table.r_engine_stats which
has the engine statistics. Only non-zero members are printed.
Internally: EXPLAIN data structures Explain_table_acccess and
Explain_update now have handler* handler_for_stats pointer.
It is used to read statistics from handler_for_stats->handler_stats.
The following applies only to 10.9+, backport doesn't use it:
Explain data structures exist after the tables are closed. We avoid
walking invalid pointers using this:
- SQL layer calls Explain_query::notify_tables_are_closed() before
closing tables.
- After that call, printing of JSON output is disabled. Non-JSON output
can be printed but we don't access handler_for_stats when doing that.
The new statistics is enabled by adding the "engine", "innodb" or "full"
option to --log-slow-verbosity
Example output:
# Pages_accessed: 184 Pages_read: 95 Pages_updated: 0 Old_rows_read: 1
# Pages_read_time: 17.0204 Engine_time: 248.1297
Page_read_time is time doing physical reads inside a storage engine.
(Writes cannot be tracked as these are usually done in the background).
Engine_time is the time spent inside the storage engine for the full
duration of the read/write/update calls. It uses the same code as
'analyze statement' for calculating the time spent.
The engine statistics is done with a generic interface that should be
easy for any engine to use. It can also easily be extended to provide
even more statistics.
Currently only InnoDB has counters for Pages_% and Undo_% status.
Engine_time works for all engines.
Implementation details:
class ha_handler_stats holds all engine stats. This class is included
in handler and THD classes.
While a query is running, all statistics is updated in the handler. In
close_thread_tables() the statistics is added to the THD.
handler::handler_stats is a pointer to where statistics should be
collected. This is set to point to handler::active_handler_stats if
stats are requested. If not, it is set to 0.
handler_stats has also an element, 'active' that is 1 if stats are
requested. This is to allow engines to avoid doing any 'if's while
updating the statistics.
Cloned or partition tables have the pointer set to the base table if
status are requested.
There is a small performance impact when using --log-slow-verbosity=engine:
- All engine calls in 'select' will be timed.
- IO calls for InnoDB reads will be timed.
- Incrementation of counters are done on local variables and accesses
are inline, so these should have very little impact.
- Statistics has to be reset for each statement for the THD and each
used handler. This is only 40 bytes, which should be neglectable.
- For partition tables we have to loop over all partitions to update
the handler_status as part of table_init(). Can be optimized in the
future to only do this is log-slow-verbosity changes. For this to work
we have to update handler_status for all opened partitions and
also for all partitions opened in the future.
Other things:
- Added options 'engine' and 'full' to log-slow-verbosity.
- Some of the new files in the test suite comes from Percona server, which
has similar status information.
- buf_page_optimistic_get(): Do not increment any counter, since we are
only validating a pointer, not performing any buf_pool.page_hash lookup.
- Added THD argument to save_explain_data_intern().
- Switched arguments for save_explain_.*_data() to have
always THD first (generates better code as other functions also have THD
first).
EXPLAIN EXTENDED for an UPDATE/DELETE/INSERT/REPLACE statement did not
produce the warning containing the text representation of the query
obtained after the optimization phase. Such warning was produced for
SELECT statements, but not for DML statements.
The patch fixes this defect of EXPLAIN EXTENDED for DML statements.
- agressively -> aggressively
- exising -> existing
- occured -> occurred
- releated -> related
- seperated -> separated
- sucess -> success
- use use -> use
All new code of the whole pull request, including one or several files
that are either new files or modified ones, are contributed under the
BSD-new license. I am contributing on behalf of my employer Amazon Web
Services, Inc.
This patch allows to use semi-join optimization at the top level of
single-table update and delete statements.
The problem of supporting such optimization became easy to resolve after
processing a single-table update/delete statement started using JOIN
structure. This allowed to use JOIN::prepare() not only for multi-table
updates/deletes but for single-table ones as well. This was done in the
patch for mdev-28883:
Re-design the upper level of handling UPDATE and DELETE statements.
Note that JOIN::prepare() detects all subqueries that can be considered
as candidates for semi-join optimization. The code added by this patch
looks for such candidates at the top level and if such candidates are found
in the processed single-table update/delete the statement is handled in
the same way as a multi-table update/delete.
Approved by Oleksandr Byelkin <sanja@mariadb.com>
This patch fixes not only the assertion failure in the function
Field_iterator_table_ref::set_field_iterator() but also:
- fixes the problem of forced materialization of derived tables used
in subqueries contained in WHERE clauses of single-table and multi-table
UPDATE and DELETE statements
- fixes the problem of MDEV-17954 that prevented execution of multi-table
DELETE statements if they use in their WHERE clauses references to
the tables that are updated.
The patch must be considered a complement to the patch for MDEV-28883.
Approved by Oleksandr Byelkin <sanja@mariadb.com>
This patch introduces a new way of handling UPDATE and DELETE commands at
the top level after the parsing phase. This new way of processing update
and delete statements can be seen in the implementation of the prepare()
and execute() methods from the new Sql_cmd_dml class. This class derived
from the Sql_cmd class can be considered as an interface class for processing
such commands as SELECT, INSERT, UPDATE, DELETE and other comands
manipulating data in tables.
With this patch processing of update and delete statements after parsing
proceeds by the following schema:
- precheck of the access rights is performed for the used tables
- the used tables are opened
- context analysis phase is performed for the statement
- the used tables are locked
- the statement is optimized and executed
- clean-up is performed for the statement
The implementation of the method Sql_cmd_dml::execute() adheres this schema.
The virtual functions of the class Sql_cmd_dml used for precheck of the
access rights, context analysis, optimization and execution allow to adjust
this schema for processing data manipulation statements of any types.
This schema of processing data manipulation statements is taken from the
current MySQL code. Moreover the definition the class Sql_cmd_dml introduced
in this patch is almost a full replica of such class in the existing MySQL.
However the implementation of the derived classes for update and delete
statements is quite different. This implementation employs the JOIN class
for all kinds of update and delete statements. It allows to perform main
bulk of context analysis actions by the function JOIN::prepare(). This
guarantees that characteristics and properties of the statement tree
discovered for optimization phase when doing context analysis are the same
for single-table and multi-table updates and deletes.
With this patch the following functions are gone:
mysql_prepare_update(), mysql_multi_update_prepare(),
mysql_update(), mysql_multi_update(),
mysql_prepare_delete(), mysql_multi_delete_prepare(), mysql_delete().
The code within these functions have been used as much as possible though.
The functions mysql_test_update() and mysql_test_delete() are also not
needed anymore. The method Sql_cmd_dml::prepare() serves processing
- update/delete statement
- PREPARE stmt FROM "<update/delete statement>"
- EXECUTE stmt when stmt is prepared from update/delete statement.
Approved by Oleksandr Byelkin <sanja@mariadb.com>
The problem was an assignment in test_quick_select() that flagged empty
tables with "Impossible where". This test was however wrong as it
didn't work correctly for left join.
Removed the test, but added checking of empty tables in DELETE and UPDATE
to get similar EXPLAIN as before.
The new tests is a bit more strict (better) than before as it catches all
cases of empty tables in single table DELETE/UPDATE.
This is a DELETE only case. Normally this statement doesn't make inserts,
but DELETE ... FOR PORTION changes it. UPDATE and INSERT initializes
autoinc by calling handler::info(HA_STATUS_AUTO). Also myisam and innodb
can lazily initialize it in their update_create_info overrides.
The solution is to initialize autoinc during delete preparation,
if period (DELETE FOR PORTION) is specified.
The initial work has been done by Kento Takeuchi by his PR #2048,
however this commit also holds a few technical modifications by
Nikita Malyavin
- query->intersection fails to get freed if the query exceeds
innodb_ft_result_cache_limit
- errors from init_ftfuncs were not propogated by delete command
This is taken from percona/percona-server@ef2c0bcb9a
If UPDATE/DELETE does not change data it is skipped from
replication. We now force replication of such events when they trigger
partition auto-creation.
For ROLLBACK it is as simple as set OPTION_KEEP_LOG
flag. trans_cannot_safely_rollback() does the rest.
For UPDATE/DELETE .. LIMIT 0 we make additional binlog_query() calls
at the early points of return.
As a safety measure we also convert row format into statement if it is
needed. The condition is decided by
binlog_need_stmt_format(). Basically if there are some row events in
cache we don't need that: table open of row event will trigger
auto-creation anyway.
Multi-update/delete works via mysql_select(). There is no early points
of return, so binlogging is always checked by
send_eof()/abort_resultset(). But we must comply with the above
measure of converting into statement.
not every index-using plan sets bits in table->quick_keys.
QUICK_ROR_INTERSECT_SELECT, for example, doesn't.
Use the fact that select->quick is set instead.
Also allow EXPLAIN to work.
ER_TRUNCATED_WRONG_VALUE
Part 1: Fix for DELETE without ORDER BY
Analysis: m_current_row_for_warning doesn't increment and assumes default
value which is then used by ROW_NUMBER.
Fix: Increment m_current_row_for_warning for each processed row.
