ITPub博客

首页 > 数据库 > PostgreSQL > PostgreSQL DBA(123) - 列式存储zedstore再体验

PostgreSQL DBA(123) - 列式存储zedstore再体验

原创 PostgreSQL 作者:husthxd 时间:2019-11-07 14:54:23 0 删除 编辑

本节简单介绍了Greenplum开源的列式存储zedstore的安装和使用.

安装
从Github上下载源码,与普通PG一样,编译安装即可

[root@localhost postgres-zedstore]# ./configure --enable-debug --with-python --with-perl --with-tcl --with-gssapi --with-pam --with-openssl --with-pam --without-ldap --with-libxml --with-libxslt --enable-dtrace --enable-depend --enable-cassert --with-systemd CFLAGS="-O0 -DOPTIMIZER_DEBUG -g3 -gdwarf-2" --prefix=/appdb/zedstore
checking build system type... x86_64-pc-linux-gnu
...
[root@localhost postgres-zedstore]# make -j4
...
[root@localhost postgres-zedstore]# make install
...
PostgreSQL installation complete.

Heap vs ZedStore
创建用户,初始化数据库

[zedstore@localhost ~]$ initdb -E utf8 -D /data/zedstore/testdb
The files belonging to this database system will be owned by user "zedstore".
This user must also own the server process.
The database cluster will be initialized with locale "en_US.UTF-8".
The default text search configuration will be set to "english".
Data page checksums are disabled.
creating directory /data/zedstore/testdb ... ok
creating subdirectories ... ok
selecting dynamic shared memory implementation ... posix
selecting default max_connections ... 100
selecting default shared_buffers ... 128MB
selecting default timezone ... PRC
creating configuration files ... ok
running bootstrap script ... ok
performing post-bootstrap initialization ... ok
syncing data to disk ... ok
initdb: warning: enabling "trust" authentication for local connections
You can change this by editing pg_hba.conf or using the option -A, or
--auth-local and --auth-host, the next time you run initdb.
Success. You can now start the database server using:
    pg_ctl -D /data/zedstore/testdb -l logfile start

下面来对比一下head am和zedstore的性能差异
Heap

testdb=# create table t_heap(id int,c1 int,c2 varchar(20));
CREATE TABLE                           
testdb=# insert into t_heap select x,x,'c2'||x from generate_series(1,5000000) as x;
INSERT 0 5000000
testdb=#

执行查询

testdb=# explain analyze select avg(id),sum(c1),max(c2) from t_heap;
                                                                  QUERY PLAN                                      
------------------------------------------------------------------------------------------------------------------
----------------------------
 Finalize Aggregate  (cost=69209.94..69209.95 rows=1 width=72) (actual time=964.313..964.314 rows=1 loops=1)
   ->  Gather  (cost=69209.71..69209.92 rows=2 width=72) (actual time=963.978..966.938 rows=3 loops=1)
         Workers Planned: 2
         Workers Launched: 2
         ->  Partial Aggregate  (cost=68209.71..68209.72 rows=1 width=72) (actual time=929.220..929.220 rows=1 loo
ps=3)
               ->  Parallel Seq Scan on t_heap  (cost=0.00..52584.55 rows=2083355 width=17) (actual time=0.094..25
6.014 rows=1666667 loops=3)
 Planning Time: 17.157 ms
 Execution Time: 968.461 ms
(8 rows)
testdb=#

执行时间为968ms

空间占用

testdb=# select pg_size_pretty(pg_table_size('t_heap'));
 pg_size_pretty 
----------------
 248 MB
(1 row)

ZedStore

testdb=# create table t_zedstore(id int,c1 int,c2 varchar(20)) using zedstore;
CREATE TABLE                           
testdb=# insert into t_zedstore select x,x,'c2'||x from generate_series(1,5000000) as x;
INSERT 0 5000000
testdb=#

执行查询

testdb=# explain analyze select avg(id),sum(c1),max(c2) from t_zedstore;
                                                                   QUERY PLAN                                     
------------------------------------------------------------------------------------------------------------------
-------------------------------
 Finalize Aggregate  (cost=24917.50..24917.51 rows=1 width=72) (actual time=1341.238..1341.239 rows=1 loops=1)
   ->  Gather  (cost=24917.27..24917.48 rows=2 width=72) (actual time=1341.046..1343.387 rows=3 loops=1)
         Workers Planned: 2
         Workers Launched: 2
         ->  Partial Aggregate  (cost=23917.27..23917.28 rows=1 width=72) (actual time=1328.432..1328.432 rows=1 l
oops=3)
               ->  Parallel Seq Scan on t_zedstore  (cost=0.00..18968.87 rows=659787 width=17) (actual time=0.702.
.837.075 rows=1666667 loops=3)
 Planning Time: 0.643 ms
 Execution Time: 1343.612 ms
(8 rows)
testdb=#

使用zedstore的时间是1343ms,比起heap方式要慢接近40%。

空间占用

testdb=# select pg_size_pretty(pg_table_size('t_zedstore'));
 pg_size_pretty 
----------------
 97 MB
(1 row)
testdb=#

不过使用zedstore,空间占用倒是只有原来的40%左右。

参考资料
PostgreSQL 基于access method api的列存zedstore

来自 “ ITPUB博客 ” ,链接:http://blog.itpub.net/6906/viewspace-2663051/,如需转载,请注明出处,否则将追究法律责任。

请登录后发表评论 登录
全部评论
ITPUB数据库版块资深版主,对Oracle、PostgreSQL有深入研究。

注册时间:2007-12-28

  • 博文量
    1434
  • 访问量
    3871621