案例:设置cost_param对查询性能优化
现象描述1
cost_param的bit0(set cost_param=1)值为1时,表示对于求由不等式(!=)条件连接的选择率时选择一种改良机制,此方法在自连接(两个相同的表之间连接)的估算中更加准确。下面查询的例子是cost_param的bit0为1时的优化场景。当前版本已弃用cost_param & 1不为0时的路径,默认选择已优化的估算公式。
注:选择率是两表join时,满足join条件的行数在join结果集中所占的比率。
表结构如下所示:
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CREATE TABLE LINEITEM ( L_ORDERKEY BIGINT NOT NULL , L_PARTKEY BIGINT NOT NULL , L_SUPPKEY BIGINT NOT NULL , L_LINENUMBER BIGINT NOT NULL , L_QUANTITY DECIMAL(15,2) NOT NULL , L_EXTENDEDPRICE DECIMAL(15,2) NOT NULL , L_DISCOUNT DECIMAL(15,2) NOT NULL , L_TAX DECIMAL(15,2) NOT NULL , L_RETURNFLAG CHAR(1) NOT NULL , L_LINESTATUS CHAR(1) NOT NULL , L_SHIPDATE DATE NOT NULL , L_COMMITDATE DATE NOT NULL , L_RECEIPTDATE DATE NOT NULL , L_SHIPINSTRUCT CHAR(25) NOT NULL , L_SHIPMODE CHAR(10) NOT NULL , L_COMMENT VARCHAR(44) NOT NULL ) with (orientation = column, COMPRESSION = MIDDLE) distribute by hash(L_ORDERKEY); CREATE TABLE ORDERS ( O_ORDERKEY BIGINT NOT NULL , O_CUSTKEY BIGINT NOT NULL , O_ORDERSTATUS CHAR(1) NOT NULL , O_TOTALPRICE DECIMAL(15,2) NOT NULL , O_ORDERDATE DATE NOT NULL , O_ORDERPRIORITY CHAR(15) NOT NULL , O_CLERK CHAR(15) NOT NULL , O_SHIPPRIORITY BIGINT NOT NULL , O_COMMENT VARCHAR(79) NOT NULL )with (orientation = column, COMPRESSION = MIDDLE) distribute by hash(O_ORDERKEY); |
查询语句如下所示:
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explain verbose select count(*) as numwait from lineitem l1, orders where o_orderkey = l1.l_orderkey and o_orderstatus = 'F' and l1.l_receiptdate > l1.l_commitdate and not exists ( select * from lineitem l3 where l3.l_orderkey = l1.l_orderkey and l3.l_suppkey <> l1.l_suppkey and l3.l_receiptdate > l3.l_commitdate ) order by numwait desc; |
执行计划如下图所示:(verbose条件下,新增distinct列,受cost off/on控制,hashjoin行显示内外表的distinct估值,其他行为空)
优化分析1
以上查询为lineitem表自连接的Anti Join,当使用cost_param的bit0为0时,估算Anti Join的行数与实际行数相差很大,导致查询性能下降。可以通过设置cost_param的bit0为1时,使Anti Join的行数估算更准确,从而提高查询性能。优化后的执行计划如下:
现象描述2
当cost_param的bit1(set cost_param=2)为1时,表示求多个过滤条件(Filter)的选择率时,选择最小的作为总的选择率,而非两者乘积,此方法在过滤条件的列之间关联性较强时估算更加准确。下面查询的例子是cost_param的bit1为1时的优化场景。
表结构如下所示:
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CREATE TABLE NATION ( N_NATIONKEY INT NOT NULL , N_NAME CHAR(25) NOT NULL , N_REGIONKEY INT NOT NULL , N_COMMENT VARCHAR(152) ) distribute by replication; CREATE TABLE SUPPLIER ( S_SUPPKEY BIGINT NOT NULL , S_NAME CHAR(25) NOT NULL , S_ADDRESS VARCHAR(40) NOT NULL , S_NATIONKEY INT NOT NULL , S_PHONE CHAR(15) NOT NULL , S_ACCTBAL DECIMAL(15,2) NOT NULL , S_COMMENT VARCHAR(101) NOT NULL ) distribute by hash(S_SUPPKEY); CREATE TABLE PARTSUPP ( PS_PARTKEY BIGINT NOT NULL , PS_SUPPKEY BIGINT NOT NULL , PS_AVAILQTY BIGINT NOT NULL , PS_SUPPLYCOST DECIMAL(15,2)NOT NULL , PS_COMMENT VARCHAR(199) NOT NULL )distribute by hash(PS_PARTKEY); |
查询语句如下所示:
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set cost_param=2; explain verbose select nation, sum(amount) as sum_profit from ( select n_name as nation, l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity as amount from supplier, lineitem, partsupp, nation where s_suppkey = l_suppkey and ps_suppkey = l_suppkey and ps_partkey = l_partkey and s_nationkey = n_nationkey ) as profit group by nation order by nation; |
当cost_param的bit1为0时,执行计划如下图所示:
优化分析2
在以上查询中,supplier、lineitem、partsupp三表做hashjoin的条件为(lineitem.l_suppkey = supplier.s_suppkey) AND (lineitem.l_partkey = partsupp.ps_partkey),此hashjoin条件中存在两个过滤条件,这前一个过滤条件中的lineitem.l_suppkey和后一个过滤条件中的lineitem.l_partkey同为lineitem表的两列,这两列存在强相关的关联关系。在这种情况,估算hashjoin条件的选择率时,如果使用cost_param的bit1为0时,实际是将AND的两个过滤条件分别计算的2个选择率的值相乘来得到hashjoin条件的选择率,导致行数估算不准确,查询性能较差。所以需要将cost_param的bit1为1时,选择最小的选择率作为总的选择率估算行数比较准确,查询性能较好,优化后的计划如下图所示: