标签

PostgreSQL , effective_io_concurrency , 异步IO

背景

异步IO的目的是充分发挥块设备的吞吐能力，让块设备处于更繁忙的工作状态（一次连续摄取更多的块），而不是等用户进程需要数据时再读取。

如果数据库并发连接（或者活跃会话）足够时，并且块设备处于繁忙状态，那么没有必要开启异步IO，因为开了也没什么用，块设备已经足够的忙了。

目前PostgreSQL的bitmap heap scan支持异步IO，因为bitmap heap scan是按顺序读取堆表的数据块的，对于机械硬盘，bitmap heap scan异步IO效率可以得到充分的发挥。（实际上全表扫描也适合异步IO。）

异步IO的参数effective_io_concurrency，应该如何设置呢？

如果是磁盘阵列，根据表空间所在的块设备进行设置，例如RAID0， RAID10，设置为磁盘个数，而RAID5或者其他RAID，设置为实际的数据盘个数（如，raid5(10)设置为9）。

如果设置为0，表示不使用异步IO。

仅仅当操作系统支持posix时，才能使用异步IO。

effective_io_concurrency (integer)  Sets the number of concurrent disk I/O operations that PostgreSQL expects can be executed simultaneously.
Raising this value will increase the number of I/O operations that any individual PostgreSQL session attempts to initiate in parallel.
The allowed range is 1 to 1000, or zero to disable issuance of asynchronous I/O requests. Currently, this setting only affects bitmap heap scans.  For magnetic drives, a good starting point for this setting is the number of separate drives comprising a RAID 0 stripe or RAID 1 mirror being used for the database.
(For RAID 5 the parity drive should not be counted.)
However, if the database is often busy with multiple queries issued in concurrent sessions, lower values may be sufficient to keep the disk array busy.
A value higher than needed to keep the disks busy will only result in extra CPU overhead.
SSDs and other memory-based storage can often process many concurrent requests, so the best value might be in the hundreds.  Asynchronous I/O depends on an effective posix_fadvise function, which some operating systems lack.
If the function is not present then setting this parameter to anything but zero will result in an error.
On some operating systems (e.g., Solaris), the function is present but does not actually do anything.  The default is 1 on supported systems, otherwise 0.
This value can be overridden for tables in a particular tablespace by setting the tablespace parameter of the same name (see ALTER TABLESPACE).

那么生产中应该如何设置呢？

我们实际测试一下，如果是SSD，从测试结果看，建议关闭异步IO。（虽然手册中提到如果是内存盘或SSD盘，可以设置更大的值，但是实测效果不理想。）

测试用例

src/test/regress/expected/select_parallel.out

-- test parallel bitmap heap scan.
set enable_seqscan to off;
set enable_indexscan to off;
set enable_hashjoin to off;
set enable_mergejoin to off;
set enable_material to off;
-- test prefetching, if the platform allows it
DO $$
BEGIN  SET effective_io_concurrency = 50;
EXCEPTION WHEN invalid_parameter_value THEN
END $$;
set work_mem='64kB';  --set small work mem to force lossy pages
explain (costs off)  select count(*) from tenk1, tenk2 where tenk1.hundred > 1 and tenk2.thousand=0;  QUERY PLAN
------------------------------------------------------------  Aggregate  ->  Nested Loop  ->  Seq Scan on tenk2  Filter: (thousand = 0)  ->  Gather  Workers Planned: 4  ->  Parallel Bitmap Heap Scan on tenk1  Recheck Cond: (hundred > 1)  ->  Bitmap Index Scan on tenk1_hundred  Index Cond: (hundred > 1)
(10 rows)  select count(*) from tenk1, tenk2 where tenk1.hundred > 1 and tenk2.thousand=0;  count
-------  98000
(1 row)  create table bmscantest (a int, t text);
insert into bmscantest select r, 'fooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo' FROM generate_series(1,100000) r;
create index i_bmtest ON bmscantest(a);
select count(*) from bmscantest where a>1;  count
-------  99999
(1 row)  reset enable_seqscan;
reset enable_indexscan;
reset enable_hashjoin;
reset enable_mergejoin;
reset enable_material;
reset effective_io_concurrency;
reset work_mem;
drop table bmscantest;

测试

postgres=# select pg_backend_pid();  pg_backend_pid
----------------  42328
(1 row)  postgres=# set enable_seqscan=off;
SET
postgres=# set enable_indexscan=off;
SET
postgres=# set work_mem ='64kB';
SET
postgres=# set max_parallel_workers_per_gather =0;
SET  postgres=# explain (analyze,verbose,timing,costs,buffers) select count(*) from ptest where id>1000 ;  QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------------------------------  Aggregate  (cost=338227.11..338227.12 rows=1 width=8) (actual time=2634.805..2634.806 rows=1 loops=1)  Output: count(*)  Buffers: shared hit=110649  ->  Bitmap Heap Scan on public.ptest  (cost=104910.47..313230.01 rows=9998843 width=0) (actual time=418.257..1735.802 rows=9999000 loops=1)  Output: id, info  Recheck Cond: (ptest.id > 1000)  Rows Removed by Index Recheck: 40  Heap Blocks: exact=408 lossy=82918  Buffers: shared hit=110649  ->  Bitmap Index Scan on idx_ptest1  (cost=0.00..102410.76 rows=9998843 width=0) (actual time=418.158..418.158 rows=9999000 loops=1)  Index Cond: (ptest.id > 1000)  Buffers: shared hit=27323  Planning time: 0.123 ms  Execution time: 2634.858 ms
(14 rows)  postgres=# set effective_io_concurrency =0;
SET
postgres=# explain (analyze,verbose,timing,costs,buffers) select count(*) from ptest where id>1000 ;  QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------------------------------  Aggregate  (cost=338227.11..338227.12 rows=1 width=8) (actual time=2619.868..2619.869 rows=1 loops=1)  Output: count(*)  Buffers: shared hit=110649  ->  Bitmap Heap Scan on public.ptest  (cost=104910.47..313230.01 rows=9998843 width=0) (actual time=418.974..1721.578 rows=9999000 loops=1)  Output: id, info  Recheck Cond: (ptest.id > 1000)  Rows Removed by Index Recheck: 40  Heap Blocks: exact=408 lossy=82918  Buffers: shared hit=110649  ->  Bitmap Index Scan on idx_ptest1  (cost=0.00..102410.76 rows=9998843 width=0) (actual time=418.873..418.873 rows=9999000 loops=1)  Index Cond: (ptest.id > 1000)  Buffers: shared hit=27323  Planning time: 0.155 ms  Execution time: 2619.930 ms
(14 rows)  postgres=# set effective_io_concurrency =1000;
SET
postgres=# explain (analyze,verbose,timing,costs,buffers) select count(*) from ptest where id>1000 ;  QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------------------------------  Aggregate  (cost=338227.11..338227.12 rows=1 width=8) (actual time=2661.584..2661.585 rows=1 loops=1)  Output: count(*)  Buffers: shared hit=110649  ->  Bitmap Heap Scan on public.ptest  (cost=104910.47..313230.01 rows=9998843 width=0) (actual time=417.591..1761.522 rows=9999000 loops=1)  Output: id, info  Recheck Cond: (ptest.id > 1000)  Rows Removed by Index Recheck: 40  Heap Blocks: exact=408 lossy=82918  Buffers: shared hit=110649  ->  Bitmap Index Scan on idx_ptest1  (cost=0.00..102410.76 rows=9998843 width=0) (actual time=417.473..417.473 rows=9999000 loops=1)  Index Cond: (ptest.id > 1000)  Buffers: shared hit=27323  Planning time: 0.113 ms  Execution time: 2661.632 ms
(14 rows)  postgres=# set max_parallel_workers_per_gather =4;
SET
postgres=# set effective_io_concurrency =1000;
SET
postgres=# explain (analyze,verbose,timing,costs,buffers) select count(*) from ptest where id>1000 ;  QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------------------------------------------  Finalize Aggregate  (cost=226740.55..226740.56 rows=1 width=8) (actual time=1017.452..1017.452 rows=1 loops=1)  Output: count(*)  Buffers: shared hit=111309  ->  Gather  (cost=226740.13..226740.54 rows=4 width=8) (actual time=1017.350..1017.447 rows=5 loops=1)  Output: (PARTIAL count(*))  Workers Planned: 4  Workers Launched: 4  Buffers: shared hit=111309  ->  Partial Aggregate  (cost=225740.13..225740.14 rows=1 width=8) (actual time=1014.227..1014.227 rows=1 loops=5)  Output: PARTIAL count(*)  Buffers: shared hit=110649  Worker 0: actual time=1013.492..1013.492 rows=1 loops=1  Buffers: shared hit=16355  Worker 1: actual time=1013.497..1013.497 rows=1 loops=1  Buffers: shared hit=16269  Worker 2: actual time=1013.510..1013.510 rows=1 loops=1  Buffers: shared hit=16333  Worker 3: actual time=1013.501..1013.501 rows=1 loops=1  Buffers: shared hit=16268  ->  Parallel Bitmap Heap Scan on public.ptest  (cost=104910.47..219490.85 rows=2499711 width=0) (actual time=418.784..840.764 rows=1999800 loops=5)  Recheck Cond: (ptest.id > 1000)  Rows Removed by Index Recheck: 8  Heap Blocks: exact=92 lossy=18009  Buffers: shared hit=110649  Worker 0: actual time=417.217..844.848 rows=1962600 loops=1  Buffers: shared hit=16355  Worker 1: actual time=422.223..844.926 rows=1952280 loops=1  Buffers: shared hit=16269  Worker 2: actual time=417.216..844.028 rows=1959960 loops=1  Buffers: shared hit=16333  Worker 3: actual time=417.216..840.404 rows=1952080 loops=1  Buffers: shared hit=16268  ->  Bitmap Index Scan on idx_ptest1  (cost=0.00..102410.76 rows=9998843 width=0) (actual time=419.867..419.867 rows=9999000 loops=1)  Index Cond: (ptest.id > 1000)  Buffers: shared hit=27323  Planning time: 0.121 ms  Execution time: 1027.083 ms
(37 rows)
postgres=# set effective_io_concurrency =1;
SET
postgres=# explain (analyze,verbose,timing,costs,buffers) select count(*) from ptest where id>1000 ;  QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------------------------------------------  Finalize Aggregate  (cost=226740.55..226740.56 rows=1 width=8) (actual time=1006.182..1006.182 rows=1 loops=1)  Output: count(*)  Buffers: shared hit=111309  ->  Gather  (cost=226740.13..226740.54 rows=4 width=8) (actual time=1006.073..1006.177 rows=5 loops=1)  Output: (PARTIAL count(*))  Workers Planned: 4  Workers Launched: 4  Buffers: shared hit=111309  ->  Partial Aggregate  (cost=225740.13..225740.14 rows=1 width=8) (actual time=1003.124..1003.124 rows=1 loops=5)  Output: PARTIAL count(*)  Buffers: shared hit=110649  Worker 0: actual time=1002.447..1002.447 rows=1 loops=1  Buffers: shared hit=16408  Worker 1: actual time=1002.441..1002.441 rows=1 loops=1  Buffers: shared hit=16312  Worker 2: actual time=1002.446..1002.446 rows=1 loops=1  Buffers: shared hit=16093  Worker 3: actual time=1002.436..1002.436 rows=1 loops=1  Buffers: shared hit=16287  ->  Parallel Bitmap Heap Scan on public.ptest  (cost=104910.47..219490.85 rows=2499711 width=0) (actual time=413.650..828.524 rows=1999800 loops=5)  Recheck Cond: (ptest.id > 1000)  Rows Removed by Index Recheck: 8  Heap Blocks: exact=85 lossy=18141  Buffers: shared hit=110649  Worker 0: actual time=412.974..833.142 rows=1968960 loops=1  Buffers: shared hit=16408  Worker 1: actual time=412.994..831.530 rows=1957440 loops=1  Buffers: shared hit=16312  Worker 2: actual time=412.980..831.353 rows=1931160 loops=1  Buffers: shared hit=16093  Worker 3: actual time=412.977..828.009 rows=1954440 loops=1  Buffers: shared hit=16287  ->  Bitmap Index Scan on idx_ptest1  (cost=0.00..102410.76 rows=9998843 width=0) (actual time=416.164..416.164 rows=9999000 loops=1)  Index Cond: (ptest.id > 1000)  Buffers: shared hit=27323  Planning time: 0.124 ms  Execution time: 1015.976 ms
(37 rows)  postgres=# set effective_io_concurrency =0;
SET
postgres=# explain (analyze,verbose,timing,costs,buffers) select count(*) from ptest where id>1000 ;  QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------------------------------------------  Finalize Aggregate  (cost=226740.55..226740.56 rows=1 width=8) (actual time=943.288..943.288 rows=1 loops=1)  Output: count(*)  Buffers: shared hit=111309  ->  Gather  (cost=226740.13..226740.54 rows=4 width=8) (actual time=943.170..943.282 rows=5 loops=1)  Output: (PARTIAL count(*))  Workers Planned: 4  Workers Launched: 4  Buffers: shared hit=111309  ->  Partial Aggregate  (cost=225740.13..225740.14 rows=1 width=8) (actual time=940.060..940.060 rows=1 loops=5)  Output: PARTIAL count(*)  Buffers: shared hit=110649  Worker 0: actual time=939.276..939.276 rows=1 loops=1  Buffers: shared hit=16286  Worker 1: actual time=939.387..939.388 rows=1 loops=1  Buffers: shared hit=16303  Worker 2: actual time=939.389..939.390 rows=1 loops=1  Buffers: shared hit=16291  Worker 3: actual time=939.388..939.389 rows=1 loops=1  Buffers: shared hit=15943  ->  Parallel Bitmap Heap Scan on public.ptest  (cost=104910.47..219490.85 rows=2499711 width=0) (actual time=419.160..766.586 rows=1999800 loops=5)  Recheck Cond: (ptest.id > 1000)  Rows Removed by Index Recheck: 8  Heap Blocks: exact=92 lossy=18411  Buffers: shared hit=110649  Worker 0: actual time=418.404..771.100 rows=1954320 loops=1  Buffers: shared hit=16286  Worker 1: actual time=418.487..770.127 rows=1956360 loops=1  Buffers: shared hit=16303  Worker 2: actual time=418.491..770.200 rows=1954920 loops=1  Buffers: shared hit=16291  Worker 3: actual time=418.513..768.309 rows=1913160 loops=1  Buffers: shared hit=15943  ->  Bitmap Index Scan on idx_ptest1  (cost=0.00..102410.76 rows=9998843 width=0) (actual time=421.750..421.750 rows=9999000 loops=1)  Index Cond: (ptest.id > 1000)  Buffers: shared hit=27323  Planning time: 0.169 ms  Execution time: 952.028 ms
(37 rows)

分别使用perf record -ag -p $pid 进行了跟踪。因为这个版本编译时没有打开几个需要的开关(-g -ggdb -fno-omit-frame-pointer)，所以看不出什么问题。用户可以自己测试并分析一下。

参考

《PostgreSQL on Linux 最佳部署手册》

《Linux 性能诊断 perf使用指南》

《PostgreSQL 源码性能诊断(perf profiling)指南》

https://www.postgresql.org/docs/devel/static/runtime-config-resource.html

src/backend/executor/nodeBitmapHeapscan.c