操作步骤
无索引和有索引性能对比
- 使用root用户登录数据库。
- 查看test_table表执行计划。
gaussdb=# EXPLAIN ANALYZE SELECT * FROM test_table WHERE email = 'user_500000@example.com'; id | operation | A-time | A-rows | E-rows | Peak Memory | A-width | E-width | E-cost s ----+----------------------------+---------+--------+--------+-------------+---------+---------+----------- ------- 1 | -> Seq Scan on test_table | 382.457 | 0 | 1989 | 19KB | | 148 | 0.000..136 44.650 (1 row) Predicate Information (identified by plan id) ------------------------------------------------------------------- 1 --Seq Scan on test_table Filter: ((email)::text = 'user_500000@example.com'::text) Rows Removed by Filter: 1000000 (3 rows) ====== Query Summary ===== ---------------------------------------- Datanode executor start time: 0.037 ms Datanode executor run time: 382.544 ms Datanode executor end time: 0.017 ms Planner runtime: 0.391 ms Query Id: 1945836514001883020 Total runtime: 382.624 ms (6 rows)
从执行结果来看,执行时间需要382.624ms(全表扫描)。
- 创建索引。
gaussdb=# CREATE INDEX idx_test_table_email ON test_table(email); CREATE INDEX
- 再次查看test_table表执行计划。
gaussdb=# EXPLAIN ANALYZE SELECT * FROM test_table WHERE email = 'user_500000@example.com'; id | operation | A-time | A-rows | E-rows | Peak Memory | A- width | E-width | E-costs ----+---------------------------------------------------------+--------+--------+--------+-------------+--- ------+---------+-------------- 1 | -> Index Scan using idx_test_table_email on test_table | 0.163 | 0 | 1 | 75KB | | 46 | 0.000..8.268 (1 row) Predicate Information (identified by plan id) ----------------------------------------------------------------------- 1 --Index Scan using idx_test_table_email on test_table Index Cond: ((email)::text = 'user_500000@example.com'::text) (2 rows) ====== Query Summary ===== ---------------------------------------- Datanode executor start time: 0.063 ms Datanode executor run time: 0.190 ms Datanode executor end time: 0.013 ms Planner runtime: 0.936 ms Query Id: 1945836514001885197 Total runtime: 0.293 ms (6 rows) ====== Query Others ===== --------------------------- Bypass: Yes (1 row)
添加索引后,通过与无索引时执行计划的对比,查询时间从原来的382.624ms缩短到0.293 ms。
单列索引和复合索引的性能对比
- 使用root用户登录数据库。
- 创建单列索引。
gaussdb=# CREATE INDEX idx_region ON sales_records(region_id); CREATE INDEX gaussdb=# CREATE INDEX idx_store ON sales_records(store_id); CREATE INDEX
- 查看执行计划。
gaussdb=# EXPLAIN ANALYZE SELECT * FROM sales_records WHERE region_id = 5 AND store_id = 42; QUERY PLAN ------------------------------------------------------------------------------------------------- Data Node Scan (cost=0.00..0.00 rows=0 width=0) (actual time=23.482..37.694 rows=2221 loops=1) Node/s: All datanodes Total runtime: 37.945 ms (3 rows)
从执行结果来看,执行时间需要37.945 ms。
- 创建复合索引。
gaussdb=# CREATE INDEX idx_region_store ON sales_records(region_id, store_id); CREATE INDEX
- 再次查看执行计划。
gaussdb=# EXPLAIN ANALYZE SELECT * FROM sales_records WHERE region_id = 5 AND store_id = 42; QUERY PLAN ----------------------------------------------------------------------------------------------- Data Node Scan (cost=0.00..0.00 rows=0 width=0) (actual time=4.266..6.390 rows=2221 loops=1) Node/s: All datanodes Total runtime: 6.616 ms (3 rows)
通过对单列索引和复合索引执行计划的对比,查询时间从原来的37.945 ms缩短到6.616 ms。