背景

PostgreSQL heap TABLE AM引擎,使用多版本来解决快照问题,版本处于当前数据文件中,有垃圾回收进程进行回收,那么哪些垃圾不能被回收呢?

WAL是PG的REDO文件,哪些WAL不能被回收重复利用?什么情况下可能会一直增长不清理呢?

heap或INDEX的膨胀有些时候并不是因为回收慢,而是有些是无法被回收的垃圾,通常被称为膨胀点。本文对膨胀点进行逐一解释(回收慢不解释,可能: worker太少,io太差,worker睡眠太长或频繁,vacuum mem太少放不下所有垃圾行CTID导致多次扫描索引,launcher唤醒周期太长,表太大未支持并行垃圾回收, …)。

除了snapshot too old以外,12新增AM例如zedstore, zheap将彻底解决heap的垃圾版本带来的膨胀问题。

全局catalog 膨胀点

全局catalog包括tbs,db,role等,如下:


1. postgres=# select relname from pg_class
2. where reltablespace in
3. (select oid from pg_tablespace where spcname='pg_global')
4. and relkind='r';
5. relname
6. -----------------------
7. pg_authid
8. pg_subscription
9. pg_database
10. pg_db_role_setting
11. pg_tablespace
12. pg_pltemplate
13. pg_auth_members
14. pg_shdepend
15. pg_shdescription
16. pg_replication_origin
17. pg_shseclabel
18. (11 rows)

哪些垃圾不能被回收?

1、当前实例中最老事务快照之后产生的垃圾记录

2、SLOT catalog_xmin后产生的垃圾记录

3、年龄小于vacuum_defer_cleanup_age设置的垃圾记录

4、备库开启了feedback后,备库中最老事务快照(包括catalog_xmin, global xmin)之后产生的垃圾记录

什么时候可能膨胀?

1、standby 开启了 feedback (且standby有慢事务, LONG SQL, 慢/dead slot),

2、慢/dead slot(catalog_xmin, 影响catalog垃圾回收),

3、vacuum_defer_cleanup_age 设置太大

4、整个实例中的 : 长事务, 慢SQL, 慢2pc,

库级catalog 膨胀点

库级catalog包括如下:


1. postgres=#
2. select relname from pg_class where relkind='r'
3. and relnamespace ='pg_catalog'::regnamespace
4. except
5. select relname from pg_class where reltablespace in
6. (select oid from pg_tablespace where spcname = 'pg_global')
7. and relkind='r';

9. relname
10. -------------------------
11. pg_language
12. pg_sequence
13. pg_largeobject
14. pg_policy
15. pg_ts_template
16. pg_attrdef
17. pg_operator
18. pg_ts_parser
19. pg_depend
20. pg_attribute
21. pg_ts_config
22. pg_conversion
23. pg_inherits
24. pg_subscription_rel
25. pg_publication
26. pg_foreign_table
27. pg_largeobject_metadata
28. pg_ts_dict
29. pg_statistic
30. pg_init_privs
31. pg_opfamily
32. pg_type
33. pg_am
34. pg_default_acl
35. pg_proc
36. pg_index
37. pg_rewrite
38. pg_statistic_ext
39. pg_constraint
40. pg_opclass
41. pg_partitioned_table
42. pg_namespace
43. pg_trigger
44. pg_enum
45. pg_amop
46. pg_event_trigger
47. pg_collation
48. pg_foreign_server
49. pg_foreign_data_wrapper
50. pg_user_mapping
51. pg_description
52. pg_cast
53. pg_publication_rel
54. pg_aggregate
55. pg_transform
56. pg_extension
57. pg_class
58. pg_seclabel
59. pg_amproc
60. pg_range
61. pg_ts_config_map
62. (51 rows)

哪些垃圾不能被回收?

1、当前数据库中最老事务快照之后产生的垃圾记录

2、年龄小于vacuum_defer_cleanup_age设置的垃圾记录

3、备库开启了feedback后,备库返回的最老事务快照(包括catalog_xmin, global xmin)之后产生的垃圾记录

4、SLOT catalog_xmin后产生的垃圾记录(create table, drop table, pg_class, pg_att等)。影响全局(所有DB)

什么时候可能膨胀?

1、standby 开启了 feedback (且standby有慢事务, LONG SQL, 慢/dead slot),

2、慢/dead slot(catalog_xmin, 影响catalog垃圾回收),

3、vacuum_defer_cleanup_age 设置太大

4、当前数据库中的 : 长事务, 慢SQL, 慢2pc,

普通对象 膨胀点

用户创建的表、物化视图、索引等。

哪些垃圾不能被回收?

1、当前数据库中最老事务快照之后产生的垃圾记录

2、年龄小于vacuum_defer_cleanup_age设置的垃圾记录

3、备库开启了feedback后,备库返回的最老事务快照(仅指 global xmin)之后产生的垃圾记录。(catalog xmin无影响)

什么时候可能膨胀?

1、standby 开启了 feedback (且standby有慢事务, LONG SQL),

2、vacuum_defer_cleanup_age 设置太大

3、当前数据库中的 : 长事务, 慢SQL, 慢2pc,

WAL文件 膨胀点

wal是指PG的REDO文件。

哪些WAL不能被回收 或 不能被重复利用?

1、从最后一次已正常结束的检查点(检查点开始时刻, 不是结束时刻)开始,所有的REDO文件都不能被回收

2、归档开启后,所有未归档的REDO。(.ready对应的redo文件)

3、启用SLOT后,还没有被SLOT消费的REDO文件

4、设置wal_keep_segments时,当REDO文件数还没有达到wal_keep_segments个时。

什么时候可能膨胀?

1、archive failed ,归档失败

2、user defined archive BUG,用户开启了归档,但是没有正常的将.ready改成.done,使得WAL堆积

3、wal_keep_segments 设置太大,WAL保留过多

4、max_wal_size设置太大,并且checkpoint_completion_target设置太大,导致检查点跨度很大,保留WAL文件很多

5、slot slow(dead) ,包括(physical | logical replication) , restart_lsn 开始的所有WAL文件都要被保留

一些例子

1、创建slot


1. postgres=# select pg_create_logical_replication_slot('a','test_decoding');
2. pg_create_logical_replication_slot
3. ------------------------------------
4. (a,0/92C9C038)
5. (1 row)

2、查看slot的位点信息


1. postgres=# select * from pg_get_replication_slots();
2. slot_name |    plugin     | slot_type | datoid | temporary | active | active_pid | xmin | catalog_xmin | restart_lsn | confirmed_flush_lsn
3. -----------+---------------+-----------+--------+-----------+--------+------------+------+--------------+-------------+---------------------
4. a         | test_decoding | logical   |  13585 | f         | f      |            |      |      1982645 | 0/92C9BFE8  | 0/92C9C038
5. (1 row)

3、查看catalog_xmin对应XID的事务提交时间,需要开启事务时间跟踪track_commit_timestamp


1. postgres=# select pg_xact_commit_timestamp(xmin),pg_xact_commit_timestamp(catalog_xmin) from pg_get_replication_slots();
2. psql: ERROR:  could not get commit timestamp data
3. HINT:  Make sure the configuration parameter "track_commit_timestamp" is set.

4、从RESTART_LSN找到对应WAL文件,从文件中也可以查到大概的时间。


1. postgres=# select pg_walfile_name(restart_lsn) from pg_get_replication_slots();
2. pg_walfile_name
3. --------------------------
4. 000000010000000000000092
5. (1 row)

7. postgres=# select * from pg_stat_file('pg_wal/000000010000000000000092');
8. size   |         access         |      modification      |         change         | creation | isdir
9. ----------+------------------------+------------------------+------------------------+----------+-------
10. 16777216 | 2019-06-29 22:56:16+08 | 2019-07-01 09:50:16+08 | 2019-07-01 09:50:16+08 |          | f
11. (1 row)

13. postgres=# select * from pg_ls_waldir() where name='000000010000000000000092';
14. name           |   size   |      modification
15. --------------------------+----------+------------------------
16. 000000010000000000000092 | 16777216 | 2019-07-01 09:50:16+08
17. (1 row)

5、建表


1. postgres=# create table b(id int);
2. CREATE TABLE
3. postgres=# insert into b values (1);
4. INSERT 0 1

6、消费SLOT WAL


1. postgres=# select * from pg_logical_slot_get_changes('a',pg_current_wal_lsn(),1);
2. lsn     |   xid   |      data
3. ------------+---------+----------------
4. 0/92C9C0C0 | 1982645 | BEGIN 1982645
5. 0/92CA4A40 | 1982645 | COMMIT 1982645
6. (2 rows)

8. postgres=# select * from pg_logical_slot_get_changes('a',pg_current_wal_lsn(),1);
9. lsn     |   xid   |                 data
10. ------------+---------+---------------------------------------
11. 0/92CA4A78 | 1982646 | BEGIN 1982646
12. 0/92CA4A78 | 1982646 | table public.b: INSERT: id[integer]:1
13. 0/92CA4AE8 | 1982646 | COMMIT 1982646
14. (3 rows)

7、删除记录


1. postgres=# delete from b;
2. DELETE 1

8、垃圾回收,正常。本地表垃圾不受slot catalog_xmin影响


1. postgres=# vacuum verbose b;
2. psql: INFO:  vacuuming "public.b"
3. psql: INFO:  "b": removed 1 row versions in 1 pages
4. psql: INFO:  "b": found 1 removable, 0 nonremovable row versions in 1 out of 1 pages
5. DETAIL:  0 dead row versions cannot be removed yet, oldest xmin: 1982648
6. There were 0 unused item identifiers.
7. Skipped 0 pages due to buffer pins, 0 frozen pages.
8. 0 pages are entirely empty.
9. CPU: user: 0.00 s, system: 0.00 s, elapsed: 0.00 s.
10. psql: INFO:  "b": truncated 1 to 0 pages
11. DETAIL:  CPU: user: 0.09 s, system: 0.00 s, elapsed: 0.09 s
12. VACUUM

9、建表,删表,使得CATALOG发生变化,产生CATALOG垃圾


1. postgres=# create table c (id int);
2. CREATE TABLE
3. postgres=# drop table c;
4. DROP TABLE
5. postgres=# create table c (id int);
6. CREATE TABLE
7. postgres=# drop table c;
8. DROP TABLE

10、垃圾回收catalog,无法回收SLOT后产生的CATALOG垃圾,因为还需要这个CATALOG版本去解析对应WAL的LOGICAL 日志


1. postgres=# vacuum verbose pg_class;
2. psql: INFO:  vacuuming "pg_catalog.pg_class"
3. psql: INFO:  "pg_class": found 0 removable, 465 nonremovable row versions in 13 out of 13 pages
4. DETAIL:  2 dead row versions cannot be removed yet, oldest xmin: 1982646
5. There were 111 unused item identifiers.
6. Skipped 0 pages due to buffer pins, 0 frozen pages.
7. 0 pages are entirely empty.
8. CPU: user: 0.00 s, system: 0.00 s, elapsed: 0.00 s.
9. VACUUM

catalog 受影响


1. postgres=# vacuum verbose pg_attribute ;
2. psql: INFO:  vacuuming "pg_catalog.pg_attribute"
3. psql: INFO:  "pg_attribute": found 0 removable, 293 nonremovable row versions in 6 out of 62 pages
4. DETAIL:  14 dead row versions cannot be removed yet, oldest xmin: 1982646
5. There were 55 unused item identifiers.
6. Skipped 0 pages due to buffer pins, 55 frozen pages.
7. 0 pages are entirely empty.
8. CPU: user: 0.00 s, system: 0.00 s, elapsed: 0.00 s.
9. VACUUM

11、长事务不影响其他库的垃圾回收

postgres


1. postgres=# begin;
2. BEGIN
3. postgres=# delete from a;
4. DELETE 1

db1


1. db1=# create table b(id int);
2. CREATE TABLE
3. db1=# insert into b values (1);
4. INSERT 0 1
5. db1=# delete from b;
6. DELETE 1
7. db1=# vacuum verbose b;
8. psql: INFO:  vacuuming "public.b"
9. psql: INFO:  "b": removed 1 row versions in 1 pages
10. psql: INFO:  "b": found 1 removable, 0 nonremovable row versions in 1 out of 1 pages
11. DETAIL:  0 dead row versions cannot be removed yet, oldest xmin: 1982671
12. There were 0 unused item identifiers.
13. Skipped 0 pages due to buffer pins, 0 frozen pages.
14. 0 pages are entirely empty.
15. CPU: user: 0.00 s, system: 0.00 s, elapsed: 0.00 s.
16. psql: INFO:  "b": truncated 1 to 0 pages
17. DETAIL:  CPU: user: 0.09 s, system: 0.00 s, elapsed: 0.09 s
18. VACUUM

小结

1 全局catalog 膨胀点

哪些垃圾不能被回收?

1、年龄小于vacuum_defer_cleanup_age设置的垃圾记录

2、当前实例中最老事务快照之后产生的垃圾记录

3、SLOT catalog_xmin后产生的垃圾记录

4、备库开启了feedback后,备库中最老事务快照(包括catalog_xmin, global xmin)之后产生的垃圾记录

什么时候可能膨胀?

1、vacuum_defer_cleanup_age 设置太大

2、整个实例中的 : 长事务, 慢SQL, 慢2pc,

3、慢/dead slot(catalog_xmin, 影响catalog垃圾回收),

4、standby 开启了 feedback (且standby有慢事务, LONG SQL, 慢/dead slot),

2 库级catalog 膨胀点

哪些垃圾不能被回收?

1、年龄小于vacuum_defer_cleanup_age设置的垃圾记录

2、当前数据库中最老事务快照之后产生的垃圾记录

3、备库开启了feedback后,备库返回的最老事务快照(包括catalog_xmin, global xmin)之后产生的垃圾记录

4、SLOT catalog_xmin后产生的垃圾记录(create table, drop table, pg_class, pg_att等)。影响全局(所有DB)

什么时候可能膨胀?

1、vacuum_defer_cleanup_age 设置太大

2、当前数据库中的 : 长事务, 慢SQL, 慢2pc,

3、standby 开启了 feedback (且standby有慢事务, LONG SQL, 慢/dead slot),

4、慢/dead slot(catalog_xmin, 影响catalog垃圾回收),

普通对象 膨胀点

用户创建的表、物化视图、索引等。

哪些垃圾不能被回收?

1、年龄小于vacuum_defer_cleanup_age设置的垃圾记录

2、当前数据库中最老事务快照之后产生的垃圾记录

3、备库开启了feedback后,备库返回的最老事务快照(仅指 global xmin)之后产生的垃圾记录。(catalog xmin无影响)

什么时候可能膨胀?

1、vacuum_defer_cleanup_age 设置太大

2、当前数据库中的 : 长事务, 慢SQL, 慢2pc,

3、standby 开启了 feedback (且standby有慢事务, LONG SQL),

WAL文件 膨胀点

wal是指PG的REDO文件。

哪些WAL不能被回收 或 不能被重复利用?

1、从最后一次已正常结束的检查点(检查点开始时刻, 不是结束时刻)开始,所有的REDO文件都不能被回收

2、归档开启后,所有未归档的REDO。(.ready对应的redo文件)

3、启用SLOT后,还没有被SLOT消费的REDO文件

4、设置wal_keep_segments时,当REDO文件数还没有达到wal_keep_segments个时。

什么时候可能膨胀?

1、archive failed ,归档失败

2、user defined archive BUG,用户开启了归档,但是没有正常的将.ready改成.done,使得WAL堆积

3、wal_keep_segments 设置太大,WAL保留过多

4、max_wal_size设置太大,并且checkpoint_completion_target设置太大,导致检查点跨度很大,保留WAL文件很多

5、slot slow(dead) ,包括(physical | logical replication) , restart_lsn 开始的所有WAL文件都要被保留

参考


1. switch (HeapTupleSatisfiesVacuum(&tuple, OldestXmin, buf))
2. {
3. case HEAPTUPLE_DEAD:

5. /*
6. * Ordinarily, DEAD tuples would have been removed by
7. * heap_page_prune(), but it's possible that the tuple
8. * state changed since heap_page_prune() looked.  In
9. * particular an INSERT_IN_PROGRESS tuple could have
10. * changed to DEAD if the inserter aborted.  So this
11. * cannot be considered an error condition.
12. *
13. * If the tuple is HOT-updated then it must only be
14. * removed by a prune operation; so we keep it just as if
15. * it were RECENTLY_DEAD.  Also, if it's a heap-only
16. * tuple, we choose to keep it, because it'll be a lot
17. * cheaper to get rid of it in the next pruning pass than
18. * to treat it like an indexed tuple. Finally, if index
19. * cleanup is disabled, the second heap pass will not
20. * execute, and the tuple will not get removed, so we must
21. * treat it like any other dead tuple that we choose to
22. * keep.
23. *
24. * If this were to happen for a tuple that actually needed
25. * to be deleted, we'd be in trouble, because it'd
26. * possibly leave a tuple below the relation's xmin
27. * horizon alive.  heap_prepare_freeze_tuple() is prepared
28. * to detect that case and abort the transaction,
29. * preventing corruption.
30. */
31. if (HeapTupleIsHotUpdated(&tuple) ||
32. HeapTupleIsHeapOnly(&tuple) ||
33. params->index_cleanup == VACOPT_TERNARY_DISABLED)
34. nkeep += 1;
35. else
36. tupgone = true; /* we can delete the tuple */
37. all_visible = false;
38. break;

40. case HEAPTUPLE_RECENTLY_DEAD:

42. /*
43. * If tuple is recently deleted then we must not remove it
44. * from relation.
45. */
46. nkeep += 1;
47. all_visible = false;
48. break;

src/backend/access/heap/heapam_visibility.c


1. *       HeapTupleSatisfiesVacuum()
2. *                visible to any running transaction, used by VACUUM


1. /*
2. * HeapTupleSatisfiesVacuum
3. *
4. *      Determine the status of tuples for VACUUM purposes.  Here, what
5. *      we mainly want to know is if a tuple is potentially visible to *any*
6. *      running transaction.  If so, it can't be removed yet by VACUUM.
7. *
8. * OldestXmin is a cutoff XID (obtained from GetOldestXmin()).  Tuples
9. * deleted by XIDs >= OldestXmin are deemed "recently dead"; they might
10. * still be visible to some open transaction, so we can't remove them,
11. * even if we see that the deleting transaction has committed.
12. */
13. HTSV_Result
14. HeapTupleSatisfiesVacuum(HeapTuple htup, TransactionId OldestXmin,
15. Buffer buffer)

18. /*
19. * Deleter committed, but perhaps it was recent enough that some open
20. * transactions could still see the tuple.
21. */
22. if (!TransactionIdPrecedes(HeapTupleHeaderGetRawXmax(tuple), OldestXmin))
23. return HEAPTUPLE_RECENTLY_DEAD;

26. else if (TransactionIdDidCommit(xmax))
27. {
28. /*
29. * The multixact might still be running due to lockers.  If the
30. * updater is below the xid horizon, we have to return DEAD
31. * regardless -- otherwise we could end up with a tuple where the
32. * updater has to be removed due to the horizon, but is not pruned
33. * away.  It's not a problem to prune that tuple, because any
34. * remaining lockers will also be present in newer tuple versions.
35. */
36. if (!TransactionIdPrecedes(xmax, OldestXmin))
37. return HEAPTUPLE_RECENTLY_DEAD;

39. return HEAPTUPLE_DEAD;
40. }

https://www.postgresql.org/docs/12/protocol-replication.html


1. Hot Standby feedback message (F)
2. Byte1('h')
3. Identifies the message as a Hot Standby feedback message.

5. Int64
6. The client's system clock at the time of transmission, as microseconds since midnight on 2000-01-01.

8. Int32
9. The standby's current global xmin, excluding the catalog_xmin from any replication slots. If both this value and the following catalog_xmin are 0 this is treated as a notification that Hot Standby feedback will no longer be sent on this connection. Later non-zero messages may reinitiate the feedback mechanism.

11. Int32
12. The epoch of the global xmin xid on the standby.

14. Int32
15. The lowest catalog_xmin of any replication slots on the standby. Set to 0 if no catalog_xmin exists on the standby or if hot standby feedback is being disabled.

17. Int32
18. The epoch of the catalog_xmin xid on the standby.

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原文:http://mysql.taobao.org/monthly/2019/06/10/