本篇内容介绍了“怎么安装和使用Greenplum开源的列式存储zedstore”的有关知识，在实际案例的操作过程中，不少人都会遇到这样的困境，接下来就让小编带领大家学习一下如何处理这些情况吧！希望大家仔细阅读，能够学有所成！
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。
“怎么安装和使用Greenplum开源的列式存储zedstore”的内容就介绍到这里了，感谢大家的阅读。如果想了解更多行业相关的知识可以关注亿速云网站，小编将为大家输出更多高质量的实用文章！
