In case of SELECT without tables which returns either 0 or 1 rows,
JOIN::exec_inner() did not check if the flag representing SQL_CALC_FOUND_ROWS
is set or not and send_records was direclty assigned 0. So SELECT FOUND_ROWS()
was giving 0 in the output. Now it checks if the flag is set, if it is set
send_record=1 else 0. 1 is the number of rows that could have been sent
to the client if the SELECT query had SQL_CALC_FOUND_ROWS.
It is 0 when no rows were sent because the SELECT query did not have
SQL_CALC_FOUND_ROWS.
UPDATE gets access to history records because versioning conditions
are not set for VIEW. This leads to endless loop of inserting history
records when clustered index is rebuilt and ha_rnd_next() returns
newly inserted history record.
Return back original behavior of failing on write-locked table in
historical query.
35b679b9 assumed that SELECT_LEX::lock_type influences anything, but
actually at this point table is already locked. Original bug report
was tempesta-tech/mariadb#102
A temporary table is needed for window function computation but if only a NAMED WINDOW SPEC
is used and there is no window function, then there is no need to create a temporary
table as there is no stage to compute WINDOW FUNCTION
1. Code simplification:
Item_default_value handled all these values:
a. DEFAULT(field)
b. DEFAULT
c. IGNORE
and had various conditions to distinguish (a) from (b) and from (c).
Introducing a new abstract class Item_contextually_typed_value_specification,
to handle (b) and (c), so the hierarchy now looks as follows:
Item
Item_result_field
Item_ident
Item_field
Item_default_value - DEFAULT(field)
Item_contextually_typed_value_specification
Item_default_specification - DEFAULT
Item_ignore_specification - IGNORE
2. Introducing a new virtual method is_evaluable_expression() to
determine if an Item is:
- a normal expression, so its val_xxx()/get_date() methods can be called
- or a just an expression substitute, whose value methods cannot be called.
3. Disallowing Items that are not evalualble expressions in table value
constructors.
For a unique key if all the keyparts are NOT NULL or the predicates involving
the keyparts is NULL rejecting, then we can use EQ_REF access instead of ref
access with the unique key
It was:
implicit conversion from 'ha_rows' (aka 'unsigned long long') to 'double'
changes value from 18446744073709551615 to 18446744073709551616
Follow what JOIN::get_examined_rows() does for similar code.
[Variant 2 of the fix: collect the attached conditions]
Problem:
make_join_select() has a section of code which starts with
"We plan to scan all rows. Check again if we should use an index."
the code in that section will [unnecessarily] re-run the range
optimizer using this condition:
condition_attached_to_current_table AND current_table's_ON_expr
Note that the original invocation of range optimizer in
make_join_statistics was done using the whole select's WHERE condition.
Taking the whole select's WHERE condition and using multiple-equalities
allowed the range optimizer to infer more range restrictions.
The fix:
- Do range optimization using a condition that is an AND of this table's
condition and all of the previous tables' conditions.
- Also, fix the range optimizer to prefer SEL_ARGs with type=KEY_RANGE
over SEL_ARGS with type=MAYBE_KEY, regardless of the key part.
Computing
key_and(
SEL_ARG(type=MAYBE_KEY key_part=1),
SEL_ARG(type=KEY_RANGE, key_part=2)
)
will now produce the SEL_ARG with type=KEY_RANGE.
In this scenario:
- There is a possible range access for table T
- And there is a ref access on the same index which uses fewer key parts
- The join optimizer picks the ref access (because it is cheaper)
- make_join_select applies this heuristic to switch to range:
/* Range uses longer key; Use this instead of ref on key */
Join buffer will be used without having called
JOIN_TAB::make_scan_filter(). This means, conditions that should be
checked when reading table T will be checked after T is joined with the
contents of the join buffer, instead.
Fixed this by adding a make_scan_filter() check.
(updated patch after backport to 10.3)
(Fix testcase on Windows)
The issue here is for degenerate joins we should execute the window
function but it is not getting executed in all the cases.
To get the window function values window function needs to be executed
always. This currently does not happen in few cases
where the join would return 0 or 1 row like
1) IMPOSSIBLE WHERE
2) MIN/MAX optimization
3) EMPTY CONST TABLE
The fix is to make sure that window functions get executed
and the temporary table is setup for the execution of window functions
The query requires 2 temporary tables for execution, the window function
is always attached to the last temporary table, but in this case the
result field of the window function points to the first temporary table
rather than the last one.
Fixed this by not changing window function items with temporary table
items of the first temporary table.
Don't do skip_setup_conds() unless all errors are checked.
Fixes following errors:
ER_PERIOD_NOT_FOUND
ER_VERS_QUERY_IN_PARTITION
ER_VERS_ENGINE_UNSUPPORTED
ER_VERS_NOT_VERSIONED
MDEV-18957 UPDATE with LIMIT clause is wrong for versioned partitioned tables
UPDATE, DELETE: replace linear search of current/historical records
with vers_setup_conds().
Additional DML cases in view.test
The issue here is the wrong estimate of the cardinality of a partial join,
the cardinality is too high because the function table_cond_selectivity()
returns an absurd number 100 while selectivity cannot be greater than 1.
When accessing table t by outer reference t1.a via index we do not perform any
range analysis for t. Yet we see TABLE::quick_key_parts[key] and
TABLE->quick_rows[key] contain a non-zero value though these should have been
remained untouched and equal to 0.
Thus real cause of the problem is that TABLE::init does not clean the arrays
TABLE::quick_key_parts[] and TABLE::>quick_rows[].
It should have done it because the TABLE structure created for any
instance of a table can be reused for many queries.
In the function prev_record_reads where one finds the different row combinations for a
subset of partial join, it did not take into account the selectivity of tables
involved in the subset of partial join.
selectivity values fails
After having set the assertion that checks validity of selectivity values
returned by the function table_cond_selectivity() a test case from
order_by.tesst failed. The failure occurred because range optimizer could
return as an estimate of the cardinality of the ranges built for an index
a number exceeding the total number of records in the table.
The second bug is more subtle. It may happen when there are several
indexes with same prefix defined on the first joined table t accessed by
a constant ref access. In this case the range optimizer estimates the
number of accessed records of t for each usable index and these
estimates can be different. Only the first of these estimates is taken
into account when the selectivity of the ref access is calculated.
However the optimizer later can choose a different index that provides
a different estimate. The function table_condition_selectivity() could use
this estimate to discount the selectivity of the ref access. This could
lead to an selectivity value returned by this function that was greater
that 1.
best_access_path() is called from two optimization phases:
1. Plan choice phase, in choose_plan(). Here, the join prefix being
considered is in join->positions[]
2. Plan refinement stage, in fix_semijoin_strategies_for_picked_join_order
Here, the join prefix is in join->best_positions[]
It used to access join->positions[] from stage #2. This didnt cause any
valgrind or asan failures (as join->positions[] has been written-to before)
but the effect was similar to that of reading the random data:
The join prefix we've picked (in join->best_positions) could have
nothing in common with the join prefix that was last to be considered
(in join->positions).
(Backported to 10.3, addressed review input)
Sj_materialization_picker::check_qep(): fix error in cost/fanout
calculations:
- for each join prefix, add #prefix_rows / TIME_FOR_COMPARE to the cost,
like best_extension_by_limited_search does
- Remove the fanout produced by the subquery tables.
- Also take into account join condition selectivity
optimize_wo_join_buffering() (used by LooseScan and FirstMatch)
- also add #prefix_rows / TIME_FOR_COMPARE to the cost of each prefix.
- Also take into account join condition selectivity
Current easy fix is not possible, because SELECT clones ha_partition
and then closes the clone which leads to unclosed transaction in
partitions we forcely prune out. We cound solve this by closing these
partitions (and release from transaction) in
change_partitions_to_open() at versioning conditions stage, but this
is problematic because table lock is acquired for each partition at
open stage and therefore must be released when we close partition
handler in change_partitions_to_open(). More details in MDEV-20376.
This should change after MDEV-20250 where mechanism of opening
partitions will be improved.
This reverts commit cdbac54df0.
For MDEV-15955, the fix in create_tmp_field_from_item() would cause a
compilation error. After a discussion with Alexander Barkov, the fix
was omitted and only the test case was kept.
In 10.3 and later, MDEV-15955 is fixed properly by overriding
create_tmp_field() in Item_func_user_var.
When discounting selectivity of ref access, don't discount the
selectivity we've already discounted for range access.
The 10.1 version of the fix. Will need to adjust condition filtering
test results in 10.4
