The intentention was always to not create histograms for single value
unique keys (as histograms is not useful in this case), but because of
a bug in the code this was still done.
The changes in the test cases was mainly because hist_size is now NULL
for these kind of columns.
Example of what causes the problem:
T1: ANALYZE TABLE starts to collect statistics
T2: ALTER TABLE starts by deleting statistics for all changed fields,
then creates a temp table and copies data to it.
T1: ANALYZE ends and writes to the statistics tables.
T2: ALTER TABLE renames temp table in place of the old table.
Now the statistics from analyze matches the old deleted tables.
Fixed by waiting to delete old statistics until ALTER TABLE is
the only one using the old table and ensure that rename of columns
can handle swapping of column names.
rename_columns_in_stat_table() (former rename_column_in_stat_tables())
now takes a list of columns to rename. It uses the following algorithm
to update column_stats to be able to handle circular renames
- While there are columns to be renamed and it is the first loop or
last rename loop did change something.
- Loop over all columns to be renamed
- Change column name in column_stat
- If fail because of duplicate key
- If this is first change attempt for this column
- Change column name to a temporary column name
- If there was a conflicting row, replace it with the current row.
else
- Remove entry from column list
- Loop over all remaining columns in the list
- Remove the conflicting row
- Change column from temporary name to final name in column_stat
Other things:
- Don't flush tables for every operation. Only flush when all updates
are done.
- Rename of columns was not handled in case of ALGORITHM=copy (old bug).
- Fixed that we do not collect statistics for hidden hash columns
used by UNIQUE constraint on long values.
- Fixed that we do not collect statistics for blob columns referred by
generated virtual columns. This was achieved by storing the fields for
which we want to have statistics in table->has_value_set instead of
in table->read_set.
- Rename of indexes was not handled for persistent statistics.
- This is now handled similar as rename of columns. Renamed columns
are now stored in 'rename_stat_indexes' and handled in
Alter_info::delete_statistics() together with drooped indexes.
- ALTER TABLE .. ADD INDEX may instead of creating a new index rename
an existing generated foreign key index. This was not reflected in
the index_stats table because this was handled in
mysql_prepare_create_table instead instead of in the mysql_alter() code.
Fixed by adding a call in mysql_prepare_create_table() to drop the
changed index.
I also had to change the code that 'marked the index' to be ignored
with code that would not destroy the original index name.
Reviewer: Sergei Petrunia <sergey@mariadb.com>
The variable controls the amount of sampling analyze table performs.
If ANALYZE table with histogram collection is too slow, one can reduce the
time taken by setting analyze_sample_percentage to a lower value of the
total number of rows.
Setting it to 0 will use a formula to compute how many rows to sample:
The number of rows collected is capped to a minimum of 50000 and
increases logarithmically with a coffecient of 4096. The coffecient is
chosen so that we expect an error of less than 3% in our estimations
according to the paper:
"Random Sampling for Histogram Construction: How much is enough?”
– Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya, ACM SIGMOD, 1998.
The drawback of sampling is that avg_frequency number is computed
imprecisely and will yeild a smaller number than the real one.
Change the defaults:
-histogram_size=0
+histogram_size=254
-histogram_type=SINGLE_PREC_HB
+histogram_type=DOUBLE_PREC_HB
Adjust the testcases:
- Some have ignorable changes in EXPLAIN outputs and
more counter increments due to EITS table reads.
- Testcases that meaningfully depend on the old defaults
are changed to use the old values.
Alter statement changed the THD structure by setting the value to FIELD_CHECK_WARN
and then not resetting it back. This led ANALYZE to throw a warning which previously
it didn't.
NULL values when there is no DEFAULT
Copy and inplace algorithm works similarly for
NULL to NOT NULL conversion for the following cases:
(1) strict sql mode - Should give error.
(2) non-strict sql mode - Should give warnings alone
(3) alter ignore table command. - Should give warnings alone.
