Heap tables are allocated blocks to store rows according to
my_default_record_cache (mapped to the server global variable
read_buffer_size).
This causes performance issues when the record length is big
(> 1000 bytes) and the my_default_record_cache is small.
Changed to instead split the default heap allocation to 1/16 of the
allowed space and not use my_default_record_cache anymore when creating
the heap. The allocation is also aligned to be just under a power of 2.
For some test that I have been running, which was using record length=633,
the speed of the query doubled thanks to this change.
Other things:
- Fixed calculation of max_records passed to hp_create() to take
into account padding between records.
- Updated calculation of memory needed by heap tables. Before we
did not take into account internal structures needed to access rows.
- Changed block sized for memory_table from 1 to 16384 to get less
fragmentation. This also avoids a problem where we need 1K
to manage index and row storage which was not counted for before.
- Moved heap memory usage to a separate test for 32 bit.
- Allocate all data blocks in heap in powers of 2. Change reported
memory usage for heap to reflect this.
Reviewed-by: Sergei Golubchik <serg@mariadb.org>
The test case was setting aria_sort_buffer_size to MAX_ULONGLONG-1
which was not handled gracefully by my_malloc() or safemalloc().
Fixed by ensuring that the malloc functions returns 0 if the size
is too big.
I also added some protection to Aria repair:
- Limit sort_buffer_size to 16G (after that a bigger sort buffer will
not help that much anyway)
- Limit sort_buffer_size also according to sort file size. This will
help by not allocating less memory if someone sets the buffer size too
high.
