Removed not needed table renames when doing ALTER TABLE when engine
changes and both of the following is true:
- Either new or old engine does not store the table in files
- Neither old or new engine uses files from another engine
We also skip renames when ALTER TABLE does an explicit rename
This improves performance, especially for engines where rename is
a slow operation (like the upcoming S3 engine)
Reason for the change was that ha_notify_table_changed() was done
after table open when .frm had been replaced, which caused failure
in engines that checks on open if .frm matches the engines table
definition.
Other changes:
- Remove not needed open/close call at end of inline alter table.
Some test that depended on the table beeing in the table cache after
ALTER TABLE had to be updated.
make live checksum to be returned in handler::info(),
and slow table-scan checksum to be calculated in handler::checksum().
part of
MDEV-16249 CHECKSUM TABLE for a spider table is not parallel and saves all data in memory in the spider head by default
For partitioned table, ensure that the AUTO_INCREMENT values will
be assigned from the same sequence. This is based on the following
change in MySQL 5.6.44:
commit aaba359c13d9200747a609730dafafc3b63cd4d6
Author: Rahul Malik <rahul.m.malik@oracle.com>
Date: Mon Feb 4 13:31:41 2019 +0530
Bug#28573894 ALTER PARTITIONED TABLE ADD AUTO_INCREMENT DIFF RESULT DEPENDING ON ALGORITHM
Problem:
When a partition table is in-place altered to add an auto-increment column,
then its values are starting over for each partition.
Analysis:
In the case of in-place alter, InnoDB is creating a new sequence object
for each partition. It is default initialized. So auto-increment columns
start over for each partition.
Fix:
Assign old sequence of the partition to the sequence of next partition
so it won't start over.
RB#21148
Reviewed by Bin Su <bin.x.su@oracle.com>
Moved rea_create_table() to the sole caller.
Also ha_create_partitioning_metadata(CHF_CREATE_FLAG) does cleanup on
error now.
Part of MDEV-17805 - Remove InnoDB cache for temporary tables.
The MDEV-17262 commit 26432e49d3
was skipped. In Galera 4, the implementation would seem to require
changes to the streaming replication.
In the tests archive.rnd_pos main.profiling, disable_ps_protocol
for SHOW STATUS and SHOW PROFILE commands until MDEV-18974
has been fixed.
If we have a 2+ node cluster which is replicating from an async master
and the binlog_format is set to STATEMENT and multi-row inserts are executed
on a table with an auto_increment column such that values are automatically
generated by MySQL, then the server node generates wrong auto_increment
values, which are different from what was generated on the async master.
In the title of the MDEV-9519 it was proposed to ban start slave on a Galera
if master binlog_format = statement and wsrep_auto_increment_control = 1,
but the problem can be solved without such a restriction.
The causes and fixes:
1. We need to improve processing of changing the auto-increment values
after changing the cluster size.
2. If wsrep auto_increment_control switched on during operation of
the node, then we should immediately update the auto_increment_increment
and auto_increment_offset global variables, without waiting of the next
invocation of the wsrep_view_handler_cb() callback. In the current version
these variables retain its initial values if wsrep_auto_increment_control
is switched on during operation of the node, which leads to inconsistent
results on the different nodes in some scenarios.
3. If wsrep auto_increment_control switched off during operation of the node,
then we must return the original values of the auto_increment_increment and
auto_increment_offset global variables, as the user has set. To make this
possible, we need to add a "shadow copies" of these variables (which stores
the latest values set by the user).
https://jira.mariadb.org/browse/MDEV-9519
If we have a 2+ node cluster which is replicating from an async master
and the binlog_format is set to STATEMENT and multi-row inserts are executed
on a table with an auto_increment column such that values are automatically
generated by MySQL, then the server node generates wrong auto_increment
values, which are different from what was generated on the async master.
In the title of the MDEV-9519 it was proposed to ban start slave on a Galera
if master binlog_format = statement and wsrep_auto_increment_control = 1,
but the problem can be solved without such a restriction.
The causes and fixes:
1. We need to improve processing of changing the auto-increment values
after changing the cluster size.
2. If wsrep auto_increment_control switched on during operation of
the node, then we should immediately update the auto_increment_increment
and auto_increment_offset global variables, without waiting of the next
invocation of the wsrep_view_handler_cb() callback. In the current version
these variables retain its initial values if wsrep_auto_increment_control
is switched on during operation of the node, which leads to inconsistent
results on the different nodes in some scenarios.
3. If wsrep auto_increment_control switched off during operation of the node,
then we must return the original values of the auto_increment_increment and
auto_increment_offset global variables, as the user has set. To make this
possible, we need to add a "shadow copies" of these variables (which stores
the latest values set by the user).
https://jira.mariadb.org/browse/MDEV-9519
If we have a 2+ node cluster which is replicating from an async master
and the binlog_format is set to STATEMENT and multi-row inserts are executed
on a table with an auto_increment column such that values are automatically
generated by MySQL, then the server node generates wrong auto_increment
values, which are different from what was generated on the async master.
In the title of the MDEV-9519 it was proposed to ban start slave on a Galera
if master binlog_format = statement and wsrep_auto_increment_control = 1,
but the problem can be solved without such a restriction.
The causes and fixes:
1. We need to improve processing of changing the auto-increment values
after changing the cluster size.
2. If wsrep auto_increment_control switched on during operation of
the node, then we should immediately update the auto_increment_increment
and auto_increment_offset global variables, without waiting of the next
invocation of the wsrep_view_handler_cb() callback. In the current version
these variables retain its initial values if wsrep_auto_increment_control
is switched on during operation of the node, which leads to inconsistent
results on the different nodes in some scenarios.
3. If wsrep auto_increment_control switched off during operation of the node,
then we must return the original values of the auto_increment_increment and
auto_increment_offset global variables, as the user has set. To make this
possible, we need to add a "shadow copies" of these variables (which stores
the latest values set by the user).
https://jira.mariadb.org/browse/MDEV-9519
Due to inconsistent usage of different cost models to calculate
the cost of ref accesses we have to make the calculation of the
gain promising by usage a range filter more complex.
The code was rewritten in the same way as the code of
ha_partition::multi_range_read_info_const() had been rewritten
earlier.
The fix allowed to run spider.partition_mrr.
This patch contains a full implementation of the optimization
that allows to use in-memory rowid / primary filters built for range
conditions over indexes. In many cases usage of such filters reduce
the number of disk seeks spent for fetching table rows.
In this implementation the choice of what possible filter to be applied
(if any) is made purely on cost-based considerations.
This implementation re-achitectured the partial implementation of
the feature pushed by Galina Shalygina in the commit
8d5a11122c.
Besides this patch contains a better implementation of the generic
handler function handler::multi_range_read_info_const() that
takes into account gaps between ranges when calculating the cost of
range index scans. It also contains some corrections of the
implementation of the handler function records_in_range() for MyISAM.
This patch supports the feature for InnoDB and MyISAM.
When using buffered sort in `UPDATE`, keyread is used. In this case,
`TABLE::update_virtual_field` should be aborted, but it actually isn't,
because it is called not with a top-level handler, but with the one that
is actually going to access the disk. Here the problemm is issued with
partitioning, so the solution is to recursively mark for keyread all the
underlying partition handlers.
* ha_partition: update keyread state for child partitions
Closes#800
main.derived_cond_pushdown: Move all 10.3 tests to the end,
trim trailing white space, and add an "End of 10.3 tests" marker.
Add --sorted_result to tests where the ordering is not deterministic.
main.win_percentile: Add --sorted_result to tests where the
ordering is no longer deterministic.
in thr_lock / has_old_lock upon FLUSH TABLES
Explicit partition access of partitioned MEMORY table under LOCK TABLES
may cause subsequent statements to crash the server, deadlock, trigger
valgrind warnings or ASAN errors. Freed memory was being used due to
incorrect cleanup.
At least MyISAM and InnoDB don't seem to be affected, since their
THR_LOCK structures don't survive FLUSH TABLES. MEMORY keeps table shared
data (including THR_LOCK) even if there're no open instances.
There's partition_info::lock_partitions bitmap, which holds bits of
partitions allowed to be accessed after pruning. This bitmap is
updated for each individual statement.
This bitmap was abused in ha_partition::store_lock() such that when we
need to unlock a table, locked by LOCK TABLES, only locks for partitions
that were accessed by previous statement were released.
Eventually FLUSH TABLES frees THR_LOCK_DATA objects, which are still
linked into THR_LOCK lists. When such THR_LOCK gets reused we end up with
freed memory access.
Fixed by using ha_partition::m_locked_partitions bitmap similarly to
ha_partition::external_lock().
When using buffered sort in `UPDATE`, keyread is used. In this case,
`TABLE::update_virtual_field` should be aborted, but it actually isn't,
because it is called not with a top-level handler, but with the one that
is actually going to access the disk. Here the problemm is issued with
partitioning, so the solution is to recursively mark for keyread all the
underlying partition handlers.
* ha_partition: update keyread state for child partitions
Closes#800
The problem occurs in 10.2 and earlier releases of MariaDB Server because the
Partition Engine was not pushing the engine conditions to the underlying
storage engine of each partition. This caused Spider to return the first 5
rows in the table with the data provided by the customer. 2 of the 5 rows
did not qualify the WHERE clause, so they were removed from the result set by
the server.
To fix the problem, I have back-ported support for engine condition pushdown
in the Partition Engine from MariaDB Server 10.3 to 10.2 and 10.1. In 10.3
and 10.4 I have merged the comments and the test case.
Author:
Jacob Mathew.
Reviewer:
Kentoku Shiba.
Cherry-Picked:
Commit ed49f9a on branch 10.3
The problem occurs in 10.2 and earlier releases of MariaDB Server because the
Partition Engine was not pushing the engine conditions to the underlying
storage engine of each partition. This caused Spider to return the first 5
rows in the table with the data provided by the customer. 2 of the 5 rows
did not qualify the WHERE clause, so they were removed from the result set by
the server.
To fix the problem, I have back-ported support for engine condition pushdown
in the Partition Engine from MariaDB Server 10.3 to 10.2 and 10.1. In 10.3
and 10.4 I have merged the comments and the test case.
Author:
Jacob Mathew.
Reviewer:
Kentoku Shiba.
Merged:
Commit eb2ca3d on branch bb-10.2-MDEV-16912
The problem occurs in 10.2 and earlier releases of MariaDB Server because the
Partition Engine was not pushing the engine conditions to the underlying
storage engine of each partition. This caused Spider to return the first 5
rows in the table with the data provided by the customer. 2 of the 5 rows
did not qualify the WHERE clause, so they were removed from the result set by
the server.
To fix the problem, I have back-ported support for engine condition pushdown
in the Partition Engine from MariaDB Server 10.3.
Author:
Jacob Mathew.
Reviewer:
Kentoku Shiba.
Cherry-Picked:
Commit eb2ca3d on branch bb-10.2-MDEV-16912
The problem occurs in 10.2 and earlier releases of MariaDB Server because the
Partition Engine was not pushing the engine conditions to the underlying
storage engine of each partition. This caused Spider to return the first 5
rows in the table with the data provided by the customer. 2 of the 5 rows
did not qualify the WHERE clause, so they were removed from the result set by
the server.
To fix the problem, I have back-ported support for engine condition pushdown
in the Partition Engine from MariaDB Server 10.3.
Author:
Jacob Mathew.
Reviewer:
Kentoku Shiba.
The problem occurred because the Spider node was incorrectly handling
timestamp values sent to and received from the data nodes.
The problem has been corrected as follows:
- Added logic to set and maintain the UTC time zone on the data nodes.
To prevent timestamp ambiguity, it is necessary for the data nodes to use
a time zone such as UTC which does not have daylight savings time.
- Removed the spider_sync_time_zone configuration variable, which did not
solve the problem and which interfered with the solution.
- Added logic to convert to the UTC time zone all timestamp values sent to
and received from the data nodes. This is done for both unique and
non-unique timestamp columns. It is done for WHERE clauses, applying to
SELECT, UPDATE and DELETE statements, and for UPDATE columns.
- Disabled Spider's use of direct update when any of the columns to update is
a timestamp column. This is necessary to prevent false duplicate key value
errors.
- Added a new test spider.timestamp to thoroughly test Spider's handling of
timestamp values.
Author:
Jacob Mathew.
Reviewer:
Kentoku Shiba.
Merged:
Commit 97cc9d3 on branch bb-10.3-MDEV-16246
The problem occurred because the Spider node was incorrectly handling
timestamp values sent to and received from the data nodes.
The problem has been corrected as follows:
- Added logic to set and maintain the UTC time zone on the data nodes.
To prevent timestamp ambiguity, it is necessary for the data nodes to use
a time zone such as UTC which does not have daylight savings time.
- Removed the spider_sync_time_zone configuration variable, which did not
solve the problem and which interfered with the solution.
- Added logic to convert to the UTC time zone all timestamp values sent to
and received from the data nodes. This is done for both unique and
non-unique timestamp columns. It is done for WHERE clauses, applying to
SELECT, UPDATE and DELETE statements, and for UPDATE columns.
- Disabled Spider's use of direct update when any of the columns to update is
a timestamp column. This is necessary to prevent false duplicate key value
errors.
- Added a new test spider.timestamp to thoroughly test Spider's handling of
timestamp values.
Author:
Jacob Mathew.
Reviewer:
Kentoku Shiba.
Cherry-Picked:
Commit 97cc9d3 on branch bb-10.3-MDEV-16246
