- The problem was that convert_subq_to_jtbm() attached the semi-join
TABLE_LIST object into the wrong list: they used to attach it to the
end of parent_lex->leaf_tables.head()->next_local->...->next_local.
This was apparently inccorect, as one can construct an example where
JTBM nest is attached to a table that is inside some mergeable VIEW, which
breaks (causes crash) for name resolution on the subsequent statement
re-execution.
- Solution: Attach to the "right" list. The "wording" was copied from
st_select_lex::handle_derived.
The result of materialization of the right part of an IN subquery predicate
is placed into a temporary table. Each row of the materialized table is
distinct. A unique key over all fields of the temporary table is defined and
created. It allows to perform key look-ups into the table.
The table created for a materialized subquery can be accessed by key as
any other table. The function best_access-path search for the best access
to join a table to a given partial join. With some where conditions this
function considers a possibility of a ref_or_null access. If such access
employs the unique key on the temporary table then when estimating
the cost this access the function tries to use the array rec_per_key. Yet,
such array is not built for this unique key. This causes a crash of the server.
Rows returned by the subquery that contain nulls don't have to be placed
into temporary table, as they cannot be match any row produced by the
left part of the subquery predicate. So all fields of the temporary table
can be defined as non-nullable. In this case any ref_or_null access
to the temporary table does not make any sense and it does not make sense
to estimate such an access.
The fix makes sure that the temporary table for a materialized IN subquery
is defined with columns that are all non-nullable. The also ensures that
any row with nulls returned by the subquery is not placed into the
temporary table.
- If LooseScan is used with quick select, require that quick select produces
data in key order (this disables use of MRR, which can return data in arbitrary order).
not be reproduced in the latest release of mariadb-5.3 as it was was fixed
by Sergey Petrunia when working on the problems concerning outer joins within
in subqueries converted to semi-joins.
- Disable use of join cache when we're using FirstMatch strategy, and the join
order is such that subquery's inner tables are interleaved with outer. Join
buffering code is incapable of handling such join orders.
- The testcase requires use of @@debug_optimizer_prefer_join_prefix to hit the bug,
but I'm pushing it anyway (including the mention of the variable in .test file),
so that it can be found and enabled when/if we get something comparable in the
main tree.
The problem was that LooseScan execution code assumed that tab->key holds
the index used for looseScan. This is only true when range or full index
scan are used. In case of ref access, the index is in tab->ref.key (and
tab->index==0 which explains how LooseScan passed tests with ref access: they
used one index)
Fixed by setting/using loosescan_key, which always the correct index#.
of mysql-5.6 code line. The bugs could not be reproduced in the latest release
of mariadb-5.3 as they were fixed either when the code of subquery optimization
was back-ported from mysql-6.0 or later when some other bugs were fixed.
of mysql-5.6 code line. The bugs could not be reproduced in the latest release
of mariadb-5.3 as they were fixed either when the code of subquery optimization
was back-ported from mysql-6.0 or later when some other bugs were fixed.
- Create/use do_copy_nullable_row_to_notnull() function for ref access, which is used
when copying from not-NULL field in table that can be NULL-complemented to not-NULL field.
fixed several defects in the greedy optimization:
1) The greedy optimizer calculated the 'compare-cost' (CPU-cost)
for iterating over the partial plan result at each level in
the query plan as 'record_count / (double) TIME_FOR_COMPARE'
This cost was only used locally for 'best' calculation at each
level, and *not* accumulated into the total cost for the query plan.
This fix added the 'CPU-cost' of processing 'current_record_count'
records at each level to 'current_read_time' *before* it is used as
'accumulated cost' argument to recursive
best_extension_by_limited_search() calls. This ensured that the
cost of a huge join-fanout early in the QEP was correctly
reflected in the cost of the final QEP.
To get identical cost for a 'best' optimized query and a
straight_join with the same join order, the same change was also
applied to optimize_straight_join() and get_partial_join_cost()
2) Furthermore to get equal cost for 'best' optimized query and a
straight_join the new code substrcated the same '0.001' in
optimize_straight_join() as it had been already done in
best_extension_by_limited_search()
3) When best_extension_by_limited_search() aggregated the 'best' plan a
plan was 'best' by the check :
'if ((search_depth == 1) || (current_read_time < join->best_read))'
The term '(search_depth == 1' incorrectly caused a new best plan to be
collected whenever the specified 'search_depth' was reached - even if
this partial query plan was more expensive than what we had already
found.
- Correctly handle plan refinement stage for LooseScan plans: run create_ref_for_key() if LooseScan
plan includes a ref access, and if we don't have any fixed key components, switch to a full index scan.
The function setup_sj_materialization_part1() forgot to set the value
of TABLE::map for any materialized IN subquery.
This could lead to wrong results for queries with subqueries that were
converted to queries with semijoins.
in EXPLAIN as select_type==MATERIALIZED.
Before, we had select_type==SUBQUERY and it was difficult to tell materialized
subqueries from uncorrelated scalar-context subqueries.
- Make EXPLAIN display "Start temporary" at the start of the fanout (it used to display
at the first table whose rowid gets into temp. table which is not that useful for
the user)
- Updated test results (all checked)
This bug in the function Loose_scan_opt::check_ref_access_part1 could lead
to choosing an invalid execution plan employing a loose scan access to a
semi-join table even in the cases when such access could not be used at all.
This could result in wrong answers for some queries with IN subqueries.
If the optimizer switch 'semijoin_with_cache' is set to 'off' then
join cache cannot be used to join inner tables of a semijoin.
Also fixed a bug in the function check_join_cache_usage() that led
to wrong output of the EXPLAIN commands for some test cases.
- when create_ref_for_key() is constructing a ref access for
a table that's inside a SJ-Materialization nest, it may not
use references to fields of tables that are unside the nest (because
these fields will not yet have values when ref access will be used)
The check was performed in the first of create_ref_for_key's loops (the
one which counts how many key parts are usable) but not in the second
(the one which actually fills the TABLE_REF structure).
of the 5.3 code line after a merge with 5.2 on 2010-10-28
in order not to allow the cost to access a joined table to be equal
to 0 ever.
Expanded data sets for many test cases to get the same execution plans
as before.
- convert_subq_to_jtbm() didn't check that subuqery optimization was successful. If it wasn't (in this
example because of @@max_join_size violation), it would proceed further and eventually crash when
trying to execute the un-optimized subquery.
- Provide fix_after_pullout() function for Item_in_optimizer and other Item_XXX classes (basically, all of them
that have eval_not_null_tables, which means they have special rules for calculating not_null_tables_cache value)
- If convert_join_subqueries_to_semijoins() decides to wrap Item_in_subselect in Item_in_optimizer,
it should do so in prep_on_expr/prep_where, too, as long as they are present.
There seems to be two possibilities of how we arrive in this function:
- prep_on_expr/prep_where==NULL, and will be set later by simplify_joins()
- prep_on_expr/prep_where!=NULL, and it is a copy_and_or_structure()-made copy of on_expr/where.
the latter can happen for some (but not all!) nested joins. This bug was that we didn't handle this case.
- Let join buffering code correctly take into account rowids needed
by DuplicateElimination when it is calculating minimum record sizes.
- In JOIN_CACHE::write_record_data, added asserts that prevent us from
writing beyond the end of the buffer.
- The problem was that the code that made the check whether the subquery is an AND-part of the WHERE
clause didn't work correctly for nested subqueries. In particular, grand-child subquery in HAVING was
treated as if it was in the WHERE, which eventually caused an assert when replace_where_subcondition
looked for the subquery predicate in the WHERE and couldn't find it there.
- The fix: Removed implementation of "thd_marker approach". thd->thd_marker was used to determine the
location of subquery predicate: setup_conds() would set accordingly it when making the
{where|on_expr}->fix_fields(...)
call so that AND-parts of the WHERE/ON clauses can determine they are the AND-parts.
Item_cond_or::fix_fields(), Item_func::fix_fields(), Item_subselect::fix_fields (this one was missed),
and all other items-that-contain-items had to reset thd->thd_marker before calling fix_fields() for
their children items, so that the children can see they are not AND-parts of WHERE/ON.
- The "thd_marker approach" required that a lot of code in different locations maintains correct value of
thd->thd_marker, so it was replaced with:
- The new approach with mark_as_condition_AND_part does not keep context in thd->thd_marker. Instead,
setup_conds() now calls
{where|on_expr}->mark_as_condition_AND_part()
and implementations of that function make sure that:
- parts of AND-expressions get the mark_as_condition_AND_part() call
- Item_in_subselect objects record that they are AND-parts of WHERE/ON
- Make simplify_joins() set maybe_null=FALSE for tables that were on the
inner sides of inner joins and then were moved to the inner sides of semi-joins.
