MySQL8.0新特性中什么是CTE语法支持
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CTE(common table expression),针对同一个FROM子查询在SQL中出现多次的情况,在创建计划的时候,只对其中一个子查询创建计划,并将结果放到临时表中,其它的子查询直接使用临时表。比如Oracle中经常使用的with as /*+materialize*/ 用法。
首先,我们看一下简单非递归的CTE的工作过程
CREATE TABLE t(a int); INSERT INTO t VALUES(1),(2); mysql>WITH abc as (SELECT * FROM t) SELECT * FROM abc; +-------------+ | a | +-------------+ | 1 | | 2 | +-------------+ 返回行数:[2],耗时:9 ms. --为了清楚的看到OPTIMIZER的优化过程,我们先暂且关闭derived_merge特性。 mysql>SET OPTIMIZER_SWITCH='derived_merge=off'; 执行成功,耗时:9 ms. mysql>explain WITH abc as (SELECT * FROM t) SELECT * FROM abc; +----+-------------+------------+------------+------+---------------+-----+---------+-----+------+----------+-------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra | +----+-------------+------------+------------+------+---------------+-----+---------+-----+------+----------+-------+ | 1 | PRIMARY || | ALL | | | | | 2 | 100 | | | 2 | DERIVED | t | | ALL | | | | | 2 | 100 | | +----+-------------+------------+------------+------+---------------+-----+---------+-----+------+----------+-------+ 返回行数:[2],耗时:9 ms.
mysql>SET OPTIMIZER_SWITCH='derived_merge=on'; 执行成功,耗时:9 ms. mysql>explain WITH abc as (SELECT * FROM t) SELECT * FROM abc; +----+-------------+-------+------------+------+---------------+-----+---------+-----+------+------------+-------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra | +----+-------------+-------+------------+------+---------------+-----+---------+-----+------+------------+-------+ | 1 | SIMPLE | t | | ALL | | | | | 2 | 100 | | +----+-------------+-------+------------+------+---------------+-----+---------+-----+------+------------+-------+ 返回行数:[1],耗时:9 ms.
啊
mysql>EXPLAIN format = json WITH cte(x) as (SELECT * FROM t) SELECT * FROM (SELECT * FROM cte) AS t1, (SELECT * FROM cte) AS t2; ----------------------------------------- | { "query_block": { "select_id": 1, "cost_info": { "query_cost": "5.65" }, "nested_loop": [ { "table": { "table_name": "t1", "access_type": "ALL", "rows_examined_per_scan": 2, "rows_produced_per_join": 2, "filtered": "100.00", "cost_info": { "read_cost": "2.52", "eval_cost": "0.20", "prefix_cost": "2.73", "data_read_per_join": "32" }, "used_columns": [ "x" ], "materialized_from_subquery": { "using_temporary_table": true, "dependent": false, "cacheable": true, "query_block": { "select_id": 2, "cost_info": { "query_cost": "2.72" }, "table": { "table_name": "cte", "access_type": "ALL", "rows_examined_per_scan": 2, "rows_produced_per_join": 2, "filtered": "100.00", "cost_info": { "read_cost": "2.52", "eval_cost": "0.20", "prefix_cost": "2.73", "data_read_per_join": "32" }, "used_columns": [ "x" ], "materialized_from_subquery": { "using_temporary_table": true, "dependent": false, "cacheable": true, "query_block": { "select_id": 3, "cost_info": { "query_cost": "0.45" }, "table": { "table_name": "t", "access_type": "ALL", "rows_examined_per_scan": 2, "rows_produced_per_join": 2, "filtered": "100.00", "cost_info": { "read_cost": "0.25", "eval_cost": "0.20", "prefix_cost": "0.45", "data_read_per_join": "32" }, "used_columns": [ "a" ] } } } } } } } }, { "table": { "table_name": "t2", "access_type": "ALL", "rows_examined_per_scan": 2, "rows_produced_per_join": 4, "filtered": "100.00", "using_join_buffer": "Block Nested Loop", "cost_info": { "read_cost": "2.53", "eval_cost": "0.40", "prefix_cost": "5.65", "data_read_per_join": "64" }, "used_columns": [ "x" ], "materialized_from_subquery": { "using_temporary_table": true, "dependent": false, "cacheable": true, "query_block": { "select_id": 4, "cost_info": { "query_cost": "2.72" }, "table": { "table_name": "cte", "access_type": "ALL", "rows_examined_per_scan": 2, "rows_produced_per_join": 2, "filtered": "100.00", "cost_info": { "read_cost": "2.52", "eval_cost": "0.20", "prefix_cost": "2.73", "data_read_per_join": "32" }, "used_columns": [ "x" ], "materialized_from_subquery": { "sharing_temporary_table_with": { "select_id": 3 } } } } } } } ] } } |
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