bug in interpretedupdate (used for auto-increment) that made TUPKEYREF be sent twice
this was however "normally" shadowed, but made LQH crash when LCP was about to start
This bug affects multi-row INSERT ... ON DUPLICATE into table
with PRIMARY KEY of AUTO_INCREMENT field and some additional UNIQUE indices.
If the first row in multi-row INSERT contains duplicated values of UNIQUE
indices, then following rows of multi-row INSERT (with either duplicated or
unique key field values) may me applied to _arbitrary_ records of table as
updates.
This bug was introduced in 5.0. Related code was widely rewritten in 5.1, and
5.1 is already free of this problem. 4.1 was not affected too.
When updating the row during INSERT ON DUPLICATE KEY UPDATE, we called
restore_auto_increment(), which set next_insert_id back to 0, but we
forgot to set clear_next_insert_id back to 0.
restore_auto_increment() function has been fixed.
The IN function was comparing DATE/DATETIME values either as ints or as
strings. Both methods have their disadvantages and may lead to a wrong
result.
Now IN function checks whether all of its arguments has the STRING result
types and at least one of them is a DATE/DATETIME item. If so it uses either
an object of the in_datetime class or an object of the cmp_item_datetime
class to perform its work. If the IN() function arguments are rows then
row columns are checked whether the DATE/DATETIME comparator should be used
to compare them.
The in_datetime class is used to find occurence of the item to be checked
in the vector of the constant DATE/DATETIME values. The cmp_item_datetime
class is used to compare items one by one in the DATE/DATETIME context.
Both classes obtain values from items with help of the get_datetime_value()
function and cache the left item if it is a constant one.
- In some cases, flow control optimization implemented in sp::optimize
removes hreturn instructions, causing SQL exception handlers to:
* never return
* execute wrong logic
- This patch overrides default short cut optimization on hreturn instructions
to avoid this problem.
The LEAST/GREATEST functions compared DATE/DATETIME values as
strings which in some cases could lead to a wrong result.
A new member function called cmp_datetimes() is added to the
Item_func_min_max class. It compares arguments in DATETIME context
and returns index of the least/greatest argument.
The Item_func_min_max::fix_length_and_dec() function now detects when
arguments should be compared in DATETIME context and sets the newly
added flag compare_as_dates. It indicates that the cmp_datetimes() function
should be called to get a correct result.
Item_func_min_max::val_xxx() methods are corrected to call the
cmp_datetimes() function when needed.
Objects of the Item_splocal class now stores and reports correct original
field type.
When checking for applicability of join cache
we must disable its usage only if there is no
temp table in use.
When a temp table is used we can use join
cache (and it will not make the result-set
unordered) to fill the temp table. The filesort()
operation is then applied to the data in the temp
table and hence is not affected by join cache
usage.
Fixed by narrowing the condition for disabling
join cache to exclude the case where temp table
is used.
Non-correlated scalar subqueries may get executed
in EXPLAIN at the optimization phase if they are
part of a right hand sargable expression.
If the scalar subquery uses a temp table to
materialize its results it will replace the
subquery structure from the parser with a simple
select from the materialization table.
As a result the EXPLAIN will crash as the
temporary materialization table is not to be shown
in EXPLAIN at all.
Fixed by preserving the original query structure
right after calling optimize() for scalar subqueries
with temp tables executed during EXPLAIN.
The generic string to int conversion was used by the Item_func_signed and
the Item_func_unsigned classes to convert DATE/DATETIME values to the
SIGNED/UNSIGNED type. But this conversion produces wrong results for such
values.
Now if the item which result has to be converted can return its result as
longlong then the item->val_int() method is used to allow the item to carry
out the conversion itself and return the correct result.
This condition is checked in the Item_func_signed::val_int() and the
Item_func_unsigned::val_int() functions.
'not exists' optimization is applied.
In fact 'not exists' optimization did not work anymore after the patch
introducing the evaluate_join_record function had been applied.
Corrected the evaluate_join_record function to respect the 'not_exists'
optimization.
- validated current result files
- forced order by and removed time stamps
removed a_version files (since do not make sense now when suite is in the main tree)
Note: datadict tests still fail as a result of regression bug 28181 in 5.0.42 (discovered
while performing this update) - tests should run clean once bug is fixed
mysqldump didn't properly handle getting no data on
SHOW CREATE PROCEDURE. If S/C/P fails (due to dumping
user's insufficient privileges on mysql.proc, say),
mysqldump will print a comment to that effect to the
output and return an error-code. If the -f (force) option
is used, the dump will continue, otherwise, it will abort
right there and then.
Also fixes Bug#22761, "mysqldump reports no errors when using
--routines without mysql.proc privileges"
---
Merge tnurnberg@bk-internal.mysql.com:/home/bk/mysql-5.0-maint
into mysql.com:/home/tnurnberg/27293/50-27293
some rollup rows (rows with NULLs for grouping attributes) if GROUP BY
list contained constant expressions.
This happened because the results of constant expressions were not put
in the temporary table used for duplicate elimination. In fact a constant
item from the GROUP BY list of a ROLLUP query can be replaced for an
Item_null_result object when a rollup row is produced .
Now the JOIN::rollup_init function wraps any constant item referenced in
the GROYP BY list of a ROLLUP query into an Item_func object of a special
class that is never detected as constant item. This ensures creation of
fields for such constant items in temporary tables and guarantees right
results when the result of the rollup operation first has to be written
into a temporary table, e.g. in the cases when duplicate elimination is
required.
