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对于Update/Delete操作,PostgreSQL的MVCC机制仍会保留先前版本的数据,这些数据在VACUUM时将被清除.但如果在执行VACUUM时,存在先于VACUUM操作的活动事务,假定这些活动事务中最小的事务ID为OldestXmin,那么VACUUM不会清理删除事务ID(即xmax) > OldestXmin的元组,如果业务繁忙并且OldestXmin事务一直不提交,会导致存储空间一直膨胀,直至耗尽空间.
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实验验证
数据准备
创建一张普通表,插入一行数据
drop table if exists t_page;
create table t_page (id int,c1 char(8),c2 varchar(16));
insert into t_page values(1,'1','a');
获取该表对应的数据文件
10:26:31 (xdb@[local]:5432)testdb=# select pg_relation_filepath('t_page');
pg_relation_filepath
----------------------
base/16402/50824
(1 row)
查询该数据表占用的空间
10:42:43 (xdb@[local]:5432)testdb=# \set v_tablename t_page
10:43:09 (xdb@[local]:5432)testdb=# SELECT pg_size_pretty( pg_total_relation_size(:'v_tablename') );
pg_size_pretty
----------------
8192 bytes
(1 row)
过程
session 1启动事务,session 2执行pg_bench进行测试(在session 1后启动),session 3监控数据表的空间增长/执行vacuum
session 1
10:46:48 (xdb@[local]:5432)testdb=# begin;
BEGIN
10:46:50 (xdb@[local]:5432)testdb=#* select txid_current();
txid_current
--------------
397083
(1 row)
10:46:54 (xdb@[local]:5432)testdb=#*
session 2执行pg_bench
[xdb@localhost script]$ cat test.sql
\set id random(1,10000)
begin;
update t_page set c1='c1'||:id;
commit;
session 3监控数据表的空间增长/执行vacuum
-- 空间
10:49:00 (xdb@[local]:5432)testdb=# SELECT pg_size_pretty( pg_total_relation_size(:'v_tablename') );
pg_size_pretty
----------------
192 kB --> 在执行压力测试过程中从8K增长到192KB
(1 row)
-- 执行vacuum
10:49:16 (xdb@[local]:5432)testdb=# vacuum verbose t_page;
INFO: vacuuming "public.t_page"
INFO: "t_page": found 0 removable, 10825 nonremovable row versions in 59 out of 59 pages
DETAIL: 10824 dead row versions cannot be removed yet, oldest xmin: 397083
There were 0 unused item pointers.
Skipped 0 pages due to buffer pins, 0 frozen pages.
0 pages are entirely empty.
CPU: user: 0.00 s, system: 0.00 s, elapsed: 0.00 s.
VACUUM
vacuum命令的输出信息:10824 dead row versions cannot be removed yet, oldest xmin: 397083
因为删除的xmax > OldestXmin,因此这些元组不能被清除.
源码分析
元组对VACUUM的可见性判断与元组对SELECT操作的可见性判断类似,SELECT查询调用的可见性判断函数是HeapTupleSatisfiesMVCC,而VACUUM的可见性判断函数是HeapTupleSatisfiesVacuum,该函数由lazy_scan_heap调用.
lazy_scan_heap
lazy_scan_heap函数的逻辑先前已介绍过,这里不再详述,下面简单梳理与元组清理的相关逻辑
static void
lazy_scan_heap(Relation onerel, int options, LVRelStats *vacrelstats,
Relation *Irel, int nindexes, bool aggressive)
{
...
for (blkno = 0; blkno < nblocks; blkno++)
{
//遍历每个block
...
//遍历block中的每个元组
for (offnum = FirstOffsetNumber;
offnum <= maxoff;
offnum = OffsetNumberNext(offnum))
{
...
if (ItemIdIsDead(itemid))
{
//记录需删除的tuple
//vacrelstats->dead_tuples[vacrelstats->num_dead_tuples] = *itemptr;
//vacrelstats->num_dead_tuples++;
lazy_record_dead_tuple(vacrelstats, &(tuple.t_self));
all_visible = false;
continue;
}
...
//在这里,主要目的是一个元组是否可能对所有正在运行中的事务可见.
switch (HeapTupleSatisfiesVacuum(&tuple, OldestXmin, buf))
{
case HEAPTUPLE_DEAD:
...
case HEAPTUPLE_LIVE:
...
case HEAPTUPLE_RECENTLY_DEAD:
//这些元组不能被清除!
nkeep += 1;
all_visible = false;
break;
...
}
}
}
...
}
如果ItemIdIsDead,则记录该元组,继续下一元组;如ItemIdIsNormal,调用HeapTupleSatisfiesVacuum函数,判断元组可见性.
ItemIdIsDead的判断很简单,判断ItemId的lp_flags标记是否为LP_DEAD
((itemId)->lp_flags == LP_DEAD)
实际上,在执行update的时候,ItemId的lp_flags仍然是0x01,即Normal状态.
11:20:49 (xdb@[local]:5432)testdb=# select lp,lp_off,lp_flags,t_xmin,t_xmax,t_field3 as t_cid,t_ctid,t_infomask2,t_infomask from heap_page_items(get_raw_page('t_page',0));
lp | lp_off | lp_flags | t_xmin | t_xmax | t_cid | t_ctid | t_infomask2 | t_infomask
-----+--------+----------+--------+--------+-------+---------+-------------+------------
1 | 8152 | 1 | 457343 | 457343 | 0 | (0,1) | 3 | 10642
2 | 8112 | 1 | 457342 | 457343 | 0 | (0,1) | 3 | 9474
3 | 8072 | 1 | 457341 | 457342 | 0 | (0,2) | 3 | 9474
...
查看该block中3号元组的信息
[xdb@localhost pg111db]$ hexdump -C base/16402/50831 -s 32 -n 2
00000020 88 9f |..|
00000022
[xdb@localhost pg111db]$ hexdump -C base/16402/50831 -s 34 -n 2
00000022 4e 00 |N.|
00000024
计算偏移/大小/标记
[xdb@localhost pg111db]$ #偏移
[xdb@localhost pg111db]$ echo $((0x9f88 & ~$((1<<15))))
8072
[xdb@localhost pg111db]$ #大小
[xdb@localhost pg111db]$ echo $((0x004e >> 1))
39
[xdb@localhost pg111db]$ #lp_flags
[xdb@localhost pg111db]$ echo $((0x004e & 0x0001))
[xdb@localhost pg111db]$ echo $((0x9f88 >> 15))
1
lp_flags=0x01,即LP_NORMAL
下面,简述HeapTupleSatisfiesVacuum的实现逻辑,该函数判断元组对于VACUUM操作的可见性.
HeapTupleSatisfiesVacuum
HTSV_Result
HeapTupleSatisfiesVacuum(HeapTuple htup, TransactionId OldestXmin,
Buffer buffer)
{
...
if (!HeapTupleHeaderXminCommitted(tuple))
{
//xmin事务未提交
...
}
//不符合以上条件,则可确定xmin事务已提交
if (tuple->t_infomask & HEAP_XMAX_INVALID)
//xmax为无效事务ID
return HEAPTUPLE_LIVE;
...
if (!(tuple->t_infomask & HEAP_XMAX_COMMITTED))
{
//xmax事务未提交
...
}
...
//不符合以上条件,则可确定xmax事务已提交
if (!TransactionIdPrecedes(HeapTupleHeaderGetRawXmax(tuple), OldestXmin))
//6.元组xmax ≥ OldestXmin,标记为最近删除
return HEAPTUPLE_RECENTLY_DEAD;
...
元组xmax ≥ OldestXmin,标记为HEAPTUPLE_RECENTLY_DEAD,这些元组不能被清理!
之所以需要避免长事务是因为如果OldestXmin事务一直不提交,那么后续被删除的元组都一直保留,无法通过VACUUM清除.
上述案例,压力测试完成后,空间是原来的330倍,而且通过VACUUM(包括VACUUM FULL)无法清理!
10:50:13 (xdb@[local]:5432)testdb=# SELECT pg_size_pretty( pg_total_relation_size(:'v_tablename') );
pg_size_pretty
----------------
2640 kB
(1 row)
11:01:28 (xdb@[local]:5432)testdb=# vacuum verbose t_page;
INFO: vacuuming "public.t_page"
INFO: "t_page": found 0 removable, 60255 nonremovable row versions in 326 out of 326 pages
DETAIL: 60254 dead row versions cannot be removed yet, oldest xmin: 397083
There were 0 unused item pointers.
Skipped 0 pages due to buffer pins, 0 frozen pages.
0 pages are entirely empty.
CPU: user: 0.02 s, system: 0.00 s, elapsed: 0.02 s.
VACUUM
11:01:31 (xdb@[local]:5432)testdb=#
11:10:14 (xdb@[local]:5432)testdb=# vacuum full;
VACUUM
11:17:56 (xdb@[local]:5432)testdb=# SELECT pg_size_pretty( pg_total_relation_size(:'v_tablename') );
pg_size_pretty
----------------
2640 kB
(1 row)
应用建议
在实际应用中,应尽可能避免长事务,跑批操作尽可能安排在非繁忙时段执行.如确定为只读事务,建议开启自动提交.
对于Java应用并且启用了连接池,如JDBC设置自动提交为false,就算是select操作,也务必在执行完毕后执行commit(Oracle不需要,但PG需要!).
参考资料
PostgreSQL Source Code
PostgreSQL 源码解读(134)- MVCC#18(vacuum过程-HeapTupleSatisfiesVacuum函数)
PostgreSQL 源码解读(130)- MVCC#14(vacuum过程-lazy_scan_heap函数)
PostgreSQL 源码解读(118)- MVCC#3(Tuple可见性判断)