本文将介绍如何使用Explain
来判断SQL语句是否能够使用列存索引来加速查询。
分析示例
在PolarDB MySQL版集群中,列存执行计划以横向树的形式输出,该格式与行存执行计划的输出格式存在明显区别。您可以通过使用Explain查看SQL的执行计划,来判断某条SQL语句是否可以使用列存索引加速功能。
SQL示例:
EXPLAIN SELECT l_orderkey, SUM(l_extendedprice * (1 - l_discount)) AS revenue, o_orderdate, o_shippriority
FROM customer, orders, lineitem
WHERE c_mktsegment = 'BUILDING'
AND c_custkey = o_custkey
AND l_orderkey = o_orderkey
AND o_orderdate < date '1995-03-24'
AND l_shipdate > date '1995-03-24'
GROUP BY l_orderkey, o_orderdate, o_shippriority
ORDER BY revenue DESC, o_orderdate;
行存执行计划显示结果:
+----+-------------+----------+------------+------+--------------------+------------+---------+-----------------------------+--------+----------+----------------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+----------+------------+------+--------------------+------------+---------+-----------------------------+--------+----------+----------------------------------------------+
| 1 | SIMPLE | customer | NULL | ALL | PRIMARY | NULL | NULL | NULL | 147630 | 10.00 | Using where; Using temporary; Using filesort |
| 1 | SIMPLE | orders | NULL | ref | PRIMARY,ORDERS_FK1 | ORDERS_FK1 | 4 | tpch100g.customer.C_CUSTKEY | 14 | 33.33 | Using where |
| 1 | SIMPLE | lineitem | NULL | ref | PRIMARY | PRIMARY | 4 | tpch100g.orders.O_ORDERKEY | 4 | 33.33 | Using where |
+----+-------------+----------+------------+------+--------------------+------------+---------+-----------------------------+--------+----------+----------------------------------------------+
3 rows in set, 1 warning (0.00 sec)
列存执行计划显示结果(横向树形式):
+----+----------------------------+----------+--------+--------+-----------------------------------------------------------------------------+
| ID | Operator | Name | E-Rows | E-Cost | Extra Info |
+----+----------------------------+----------+--------+--------+-----------------------------------------------------------------------------+
| 1 | Select Statement | | | | IMCI Execution Plan (max_dop = 4, max_query_mem = 858993459) |
| 2 | └─Sort | | | | Sort Key: revenue DESC,o_orderdate ASC |
| 3 | └─Hash Groupby | | | | Group Key: (lineitem.L_ORDERKEY, orders.O_ORDERDATE, orders.O_SHIPPRIORITY) |
| 4 | └─Hash Join | | | | Join Cond: orders.O_ORDERKEY = lineitem.L_ORDERKEY |
| 5 | ├─Hash Join | | | | Join Cond: customer.C_CUSTKEY = orders.O_CUSTKEY |
| 6 | │ ├─Table Scan | customer | | | Cond: (C_MKTSEGMENT = "BUILDING") |
| 7 | │ └─Table Scan | orders | | | Cond: (O_ORDERDATE < 03/24/1995) |
| 8 | └─Table Scan | lineitem | | | Cond: (L_SHIPDATE > 03/24/1995) |
+----+----------------------------+----------+--------+--------+-----------------------------------------------------------------------------+
8 rows in set (0.01 sec)
相关文档
列存索引只能访问被其所覆盖的列。因此,当您的SQL语句中所需的表或列未被列存索引完全覆盖时,列存索引将无法生效。
检查SQL语句中的表是否已创建列索引:存储过程
dbms_imci.check_columnar_index()
能够解析输入的SQL语句,提取该语句中使用的所有列,并验证这些列是否被列索引所覆盖。获取创建列存索引的DDL语句:存储过程
dbms_imci.columnar_advise()
可以针对输入的SQL语句,生成相应的用于添加列存索引的DDL语句。执行后,可以确保该SQL语句中涉及的所有列均被列索引覆盖。
常见问题
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