同时刷新物化视图会导致表膨胀

问题描述 投票:0回答:2

在 PostgreSQL 9.5 中,我决定创建一个物化视图“效果”并安排每小时并发刷新,因为我希望它始终可用:

REFRESH MATERIALIZED VIEW CONCURRENTLY effects;

一开始一切都很顺利,我的物化视图令人耳目一新,磁盘空间使用情况或多或少保持不变。


问题

一段时间后,磁盘使用量开始线性增长。

我得出的结论是,这种增长的原因是物化视图,并从 this 答案运行查询以获得以下结果:

               what                |  bytes/ct   | bytes_pretty | bytes_per_row
-----------------------------------+-------------+--------------+---------------
 core_relation_size                | 32224567296 | 30 GB        |         21140
 visibility_map                    |      991232 | 968 kB       |             0
 free_space_map                    |     7938048 | 7752 kB      |             5
 table_size_incl_toast             | 32233504768 | 30 GB        |         21146
 indexes_size                      | 22975922176 | 21 GB        |         15073
 total_size_incl_toast_and_indexes | 55209426944 | 51 GB        |         36220
 live_rows_in_text_representation  |   316152215 | 302 MB       |           207
 ------------------------------    |             |              |
 row_count                         |     1524278 |              |
 live_tuples                       |      676439 |              |
 dead_tuples                       |     1524208 |              |
(11 rows)

然后,我发现该表最后一次自动清理是在两天前,通过运行:

SELECT relname, n_dead_tup, last_vacuum, last_autovacuum FROM pg_stat_user_tables ORDER BY n_dead_tup desc;

我决定手动调用

vacuum (VERBOSE) effects
。它运行了大约半个小时并产生了以下输出:

vacuum (VERBOSE) effects;
INFO:  vacuuming "public.effects"
INFO:  scanned index "effects_idx" to remove 129523454 row versions
DETAIL:  CPU 12.16s/55.76u sec elapsed 119.87 sec

INFO:  scanned index "effects_campaign_created_idx" to remove 129523454 row versions
DETAIL:  CPU 19.11s/154.59u sec elapsed 337.91 sec

INFO:  scanned index "effects_campaign_name_idx" to remove 129523454 row versions
DETAIL:  CPU 28.51s/151.16u sec elapsed 315.51 sec

INFO:  scanned index "effects_campaign_event_type_idx" to remove 129523454 row versions
DETAIL:  CPU 38.60s/373.59u sec elapsed 601.73 sec

INFO:  "effects": removed 129523454 row versions in 3865537 pages
DETAIL:  CPU 59.02s/36.48u sec elapsed 326.43 sec

INFO:  index "effects_idx" now contains 1524208 row versions in 472258 pages
DETAIL:  113679000 index row versions were removed.
463896 index pages have been deleted, 60386 are currently reusable.
CPU 0.00s/0.00u sec elapsed 0.01 sec.

INFO:  index "effects_campaign_created_idx" now contains 1524208 row versions in 664910 pages
DETAIL:  121637488 index row versions were removed.
41014 index pages have been deleted, 0 are currently reusable.
CPU 0.00s/0.00u sec elapsed 0.00 sec.

INFO:  index "effects_campaign_name_idx" now contains 1524208 row versions in 711391 pages
DETAIL:  125650677 index row versions were removed.
696221 index pages have been deleted, 28150 are currently reusable.
CPU 0.00s/0.00u sec elapsed 0.00 sec.

INFO:  index "effects_campaign_event_type_idx" now contains 1524208 row versions in 956018 pages
DETAIL:  127659042 index row versions were removed.
934288 index pages have been deleted, 32105 are currently reusable.
CPU 0.00s/0.00u sec elapsed 0.00 sec.

INFO:  "effects": found 0 removable, 493 nonremovable row versions in 3880239 out of 3933663 pages
DETAIL:  0 dead row versions cannot be removed yet.

There were 666922 unused item pointers.
Skipped 0 pages due to buffer pins.
0 pages are entirely empty.
CPU 180.49s/788.60u sec elapsed 1799.42 sec.

INFO:  vacuuming "pg_toast.pg_toast_1371723"
INFO:  index "pg_toast_1371723_index" now contains 0 row versions in 1 pages
DETAIL:  0 index row versions were removed.
0 index pages have been deleted, 0 are currently reusable.
CPU 0.00s/0.00u sec elapsed 0.00 sec.

INFO:  "pg_toast_1371723": found 0 removable, 0 nonremovable row versions in 0 out of 0 pages
DETAIL:  0 dead row versions cannot be removed yet.
There were 0 unused item pointers.
Skipped 0 pages due to buffer pins.
0 pages are entirely empty.
CPU 0.00s/0.00u sec elapsed 0.00 sec.

VACUUM

此时我认为问题已经解决,并开始思考什么会干扰自动真空。可以肯定的是,我再次运行查询来查找该表的空间使用情况,令我惊讶的是它没有改变。

仅在我拨打

REFRESH MATERIALIZED VIEW effects;
之后而不是同时。现在检查表大小的查询的输出是:

               what                | bytes/ct  | bytes_pretty | bytes_per_row
-----------------------------------+-----------+--------------+---------------
 core_relation_size                | 374005760 | 357 MB       |           245
 visibility_map                    |         0 | 0 bytes      |             0
 free_space_map                    |         0 | 0 bytes      |             0
 table_size_incl_toast             | 374013952 | 357 MB       |           245
 indexes_size                      | 213843968 | 204 MB       |           140
 total_size_incl_toast_and_indexes | 587857920 | 561 MB       |           385
 live_rows_in_text_representation  | 316175512 | 302 MB       |           207
 ------------------------------    |           |              |
 row_count                         |   1524385 |              |
 live_tuples                       |    676439 |              |
 dead_tuples                       |   1524208 |              |
(11 rows)

一切都恢复正常......


问题

问题解决了,但仍有相当多的困惑

  1. 有人可以解释一下我遇到的问题吗?
  2. 以后如何避免这种情况?
postgresql postgresql-9.5 materialized-views vacuum autovacuum
2个回答
30
投票

首先我们来解释一下膨胀

REFRESH MATERIALIZED CONCURRENTLY
src/backend/commands/matview.c
中实现,评论很有启发:

/*
 * refresh_by_match_merge
 *
 * Refresh a materialized view with transactional semantics, while allowing
 * concurrent reads.
 *
 * This is called after a new version of the data has been created in a
 * temporary table.  It performs a full outer join against the old version of
 * the data, producing "diff" results.  This join cannot work if there are any
 * duplicated rows in either the old or new versions, in the sense that every
 * column would compare as equal between the two rows.  It does work correctly
 * in the face of rows which have at least one NULL value, with all non-NULL
 * columns equal.  The behavior of NULLs on equality tests and on UNIQUE
 * indexes turns out to be quite convenient here; the tests we need to make
 * are consistent with default behavior.  If there is at least one UNIQUE
 * index on the materialized view, we have exactly the guarantee we need.
 *
 * The temporary table used to hold the diff results contains just the TID of
 * the old record (if matched) and the ROW from the new table as a single
 * column of complex record type (if matched).
 *
 * Once we have the diff table, we perform set-based DELETE and INSERT
 * operations against the materialized view, and discard both temporary
 * tables.
 *
 * Everything from the generation of the new data to applying the differences
 * takes place under cover of an ExclusiveLock, since it seems as though we
 * would want to prohibit not only concurrent REFRESH operations, but also
 * incremental maintenance.  It also doesn't seem reasonable or safe to allow
 * SELECT FOR UPDATE or SELECT FOR SHARE on rows being updated or deleted by
 * this command.
 */

因此,通过删除行并从临时表中插入新行来刷新物化视图。这当然会导致死元组和表膨胀,您的

VACUUM (VERBOSE)
输出证实了这一点。

在某种程度上,这就是您付出的代价

CONCURRENTLY

其次,让我们揭穿
VACUUM
无法删除死元组的神话

VACUUM
将删除死行,但它不能减少膨胀(可以使用
VACUUM (FULL)
来完成,但这会锁定视图,就像没有
REFRESH MATERIALIZED VIEW
CONCURRENTLY
一样)。

我怀疑您用来确定死元组数量的查询只是一个估计,导致死元组数量错误。

一个演示这一切的例子

CREATE TABLE tab AS SELECT id, 'row ' || id AS val FROM generate_series(1, 100000) AS id;

-- make sure autovacuum doesn't spoil our demonstration
CREATE MATERIALIZED VIEW tab_v WITH (autovacuum_enabled = off)
AS SELECT * FROM tab;

-- required for CONCURRENTLY
CREATE UNIQUE INDEX ON tab_v (id);

使用

pgstattuple
扩展来准确测量表膨胀:

CREATE EXTENSION pgstattuple;

SELECT * FROM pgstattuple('tab_v');
-[ RECORD 1 ]------+--------
table_len          | 4431872
tuple_count        | 100000
tuple_len          | 3788895
tuple_percent      | 85.49
dead_tuple_count   | 0
dead_tuple_len     | 0
dead_tuple_percent | 0
free_space         | 16724
free_percent       | 0.38

现在我们删除表中的一些行,刷新并再次测量:

DELETE FROM tab WHERE id BETWEEN 40001 AND 80000;

REFRESH MATERIALIZED VIEW CONCURRENTLY tab_v;

SELECT * FROM pgstattuple('tab_v');
-[ RECORD 1 ]------+--------
table_len          | 4431872
tuple_count        | 60000
tuple_len          | 2268895
tuple_percent      | 51.19
dead_tuple_count   | 40000
dead_tuple_len     | 1520000
dead_tuple_percent | 34.3
free_space         | 16724
free_percent       | 0.38

大量死元组。

VACUUM
摆脱这些:

VACUUM tab_v;

SELECT * FROM pgstattuple('tab_v');
-[ RECORD 1 ]------+--------
table_len          | 4431872
tuple_count        | 60000
tuple_len          | 2268895
tuple_percent      | 51.19
dead_tuple_count   | 0
dead_tuple_len     | 0
dead_tuple_percent | 0
free_space         | 1616724
free_percent       | 36.48

死元组消失了,但现在有很多空白空间。


4
投票

我正在添加上面提供的@Laurenz Albe 完整答案。腹胀还有另一种可能。考虑以下场景:

您有一个视图,大多数情况下很少更改(1000000 条记录,每个请求更改 100 条记录),但您仍然得到 500000 个死元组。其原因可能是索引列中为空。

如上面答案中所述,当视图同时实现时,将重新创建并比较副本。比较使用强制唯一索引,但是空值又如何呢? sql 中的空值永远不会相等。因此,如果您的索引键允许空值,则即使未更改,包含空值的记录也将始终重新创建并添加到表中

为了解决这个问题,您可以做的就是添加额外的列,将空列合并到一些从未使用过的值(-1,to_timestamp(0),...),并仅将此列用于主要指标

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