WITH TIES would not take effect if SELECT DISTINCT was used in a
context where an INDEX is used to resolve the ORDER BY clause.
WITH TIES relies on the `JOIN::order` to contain the non-constant
fields to test the equality of ORDER BY fiels required for WITH TIES.
The cause of the problem was a premature removal of the `JOIN::order`
member during a DISTINCT optimization. This lead to WITH TIES code assuming
ORDER BY only contained "constant" elements.
Disable this optimization when WITH TIES is in effect.
(side-note: the order by removal does not impact any current tests, thus
it will be removed in a future version)
Reviewed by: monty@mariadb.org
This includes all test changes from
"Changing all cost calculation to be given in milliseconds"
and forwards.
Some of the things that caused changes in the result files:
- As part of fixing tests, I added 'echo' to some comments to be able to
easier find out where things where wrong.
- MATERIALIZED has now a higher cost compared to X than before. Because
of this some MATERIALIZED types have changed to DEPENDEND SUBQUERY.
- Some test cases that required MATERIALIZED to repeat a bug was
changed by adding more rows to force MATERIALIZED to happen.
- 'Filtered' in SHOW EXPLAIN has in many case changed from 100.00 to
something smaller. This is because now filtered also takes into
account the smallest possible ref access and filters, even if they
where not used. Another reason for 'Filtered' being smaller is that
we now also take into account implicit filtering done for subqueries
using FIRSTMATCH.
(main.subselect_no_exists_to_in)
This is caluculated in best_access_path() and stored in records_out.
- Table orders has changed because more accurate costs.
- 'index' and 'ALL' for small tables has changed to use 'range' or
'ref' because of optimizer_scan_setup_cost.
- index can be changed to 'range' as 'range' optimizer assumes we don't
have to read the blocks from disk that range optimizer has already read.
This can be confusing in the case where there is no obvious where clause
but instead there is a hidden 'key_column > NULL' added by the optimizer.
(main.subselect_no_exists_to_in)
- Scan on primary clustered key does not report 'Using Index' anymore
(It's a table scan, not an index scan).
- For derived tables, the number of rows is now 100 instead of 2,
which can be seen in EXPLAIN.
- More tests have "Using index for group by" as the cost of this
optimization is now more correct (lower).
- A primary key could be preferred for a normal key, even if it would
access more rows, as it's faster to do 1 lokoup and 3 'index_next' on a
clustered primary key than one lookup trough a secondary.
(main.stat_tables_innodb)
Notes:
- There was a 4.7% more calls to best_extension_by_limited_search() in
the main.greedy_optimizer test. However examining the test results
it looked that the plans where slightly better (eq_ref where more
chained together) so I assume this is ok.
- I have verified a few test cases where there was notable/unexpected
changes in the plan and in all cases the new optimizer plans where
faster. (main.greedy_optimizer and some others)
This is a rework of how filesort calculates costs to allow functions
like test_if_skip_sort_order() to calculate the cost of filesort to
decide between filesort and using a key to resolve ORDER BY.
Changes:
- Split cost calculation of qsort + optional merge sort and priority queue
to dedicated functions.
- Fixed some wrong calculations of cost in old code (use of log() instead
of log2()).
- Added costs realted to fetching the rows if addon fields are not used.
- Updated get_merge_cost() to take into account that we are going to
read data from temporary files in big chuncks (DISK_CHUNCK_SIZE (64K) and
not in IO_SIZE (4K).
- More code documentation including various variables in Sort_param.
One effect of the cost update is that the cost of priority queue
with addon field has decreased slightly and is used in more cases.
When the rowid is large (like with InnoDB where rowid is the priority key),
using addon fields is in many cases preferable.
Reviewer: Monty
The old code did not't correctly add TIME_FOR_COMPARE to rows that are
part of the scan that will be compared with the attached where clause.
Now the cost calculation for hash join and full join cache join are
identical except for HASH_FANOUT (10%)
The cost for a join with keys is now also uniform.
The total cost for a using a key for lookup is calculated in one place as:
(cost_of_finding_rows_through_key(records) + records/TIME_FOR_COMPARE)*
record_count_of_previous_row_combinations + startup_cost
startup_cost is the cost of a creating a temporary table (if needed)
Best_cost now includes the cost of comparing all WHERE clauses and also
cost of joining with previous row combinations.
Other things:
- Optimizer trace is now printing the total costs, including testing the
WHERE clause (TIME_FOR_COMPARE) and comparing with all previous rows.
- In optimizer trace, include also total cost of query together with the
final join order. This makes it easier to find out where the cost was
calculated.
- Old code used filter even if the cost for it was higher than not using a
filter. This is not corrected.
- When rebasing on 10.11, I noticed some changes to access_cost_factor
calculation. These changes was not picked as the coming changes
to filtering will make that code obsolete.
The root cause of test failure is that on optimization
of the statement clause 'order by (select 1)' in outer select
is done incorrect in case the statement run in PS mode.
Pushing LIMIT to temp aggregation table is possible, but not when WITH
TIES is used. In a degenerate case with constant ORDER BY, the constant
gets removed and the code assumed the limit is push-able.
Ensure that if WITH TIES is present, that this does not happen.
This commit implements the standard SQL extension
OFFSET start { ROW | ROWS }
[FETCH { FIRST | NEXT } [ count ] { ROW | ROWS } { ONLY | WITH TIES }]
To achieve this a reserved keyword OFFSET is introduced.
The general logic for WITH TIES implies:
1. The number of rows a query returns is no longer known during optimize
phase. Adjust optimizations to no longer consider this.
2. During end_send make use of an "order Cached_item"to compare if the
ORDER BY columns changed. Keep returning rows until there is a
change. This happens only after we reached the row limit.
3. Within end_send_group, the order by clause was eliminated. It is
still possible to keep the optimization of using end_send_group for
producing the final result set.
