1.创建分区表，并用generate_series(1,N)函数对表插入数据

omm=# Create schema tpcds;
omm=# CREATE TABLE tpcds.customer_address
omm-# (
omm(# ca_address_sk integer NOT NULL ,
omm(# ca_address_id character(16),
omm(# ca_street_number character(10) ,
omm(# ca_street_name character varying(60) ,
omm(# ca_street_type character(15) ,
omm(# ca_suite_number character(10) ,
omm(# ca_city character varying(60) ,
omm(# ca_county character varying(30) ,
omm(# ca_state character(2) ,
omm(# ca_zip character(10) ,
omm(# ca_country character varying(20) ,
omm(# ca_gmt_offset numeric(5,2) ,
omm(# ca_location_type character(20)
omm(# );
omm=# insert into tpcds.customer_address values
omm-# (1, 'AAAAAAAABAAAAAAA', '18', 'Jackson', 'Parkway', 'Suite 280', 'Fairfield', 'Maricopa County', 'AZ', '86192' ,'United States', -7.00, 'condo'),
omm-# (2, 'AAAAAAAACAAAAAAA', '362', 'Washington 6th', 'RD', 'Suite 80', 'Fairview', 'Taos County', 'NM', '85709', 'United States', -7.00, 'condo'),
omm-# (3, 'AAAAAAAADAAAAAAA', '585', 'Dogwood Washington', 'Circle', 'Suite Q', 'Pleasant Valley', 'York County', 'PA', '12477', 'United States', -5.00, 'single family');
omm=# insert into tpcds.customer_address values(generate_series(10, 10000));

2.收集表统计信息

omm=# select relname, relpages, reltuples from pg_class where relname = 'customer_address';
omm=# analyze VERBOSE tpcds.customer_address;
omm=# select relname, relpages, reltuples from pg_class where relname = 'customer_address';

3.显示简单查询的执行计划；建立索引并显示有索引条件的执行计划

SET explain_perf_mode=normal;
omm=# EXPLAIN SELECT * FROM tpcds.customer_address;
omm=# create index customer_address_idx on tpcds.customer_address(ca_address_sk);
omm=# EXPLAIN SELECT * FROM tpcds.customer_address WHERE ca_address_sk<100;

4.更新表数据，并做垃圾收集

omm=# update tpcds.customer_address set ca_address_sk = ca_address_sk + 1 where ca_address_sk <100;
omm=# VACUUM (VERBOSE, ANALYZE) tpcds.customer_address;

5.清理数据

omm=# drop schema tpcds cascade;