好的，已经贴了sql片段
在 2024-03-08 11:02:34，"Xuyang" <[email protected]> 写道： >Hi, 你的图挂了，可以用图床或者直接贴SQL > > > > >-- > > Best！ > Xuyang > > > > >在 2024-03-08 10:54:19，"iasiuide" <[email protected]> 写道： > > > > > >下面的sql片段中 >ods_ymfz_prod_sys_divide_order 为kafka source表 >dim_ymfz_prod_sys_trans_log 为mysql为表 >dim_ptfz_ymfz_merchant_info 为mysql为表 > > > >flink web ui界面的执行计划片段如下： > > [1]:TableSourceScan(table=[[default_catalog, default_database, > ods_ymfz_prod_sys_divide_order, watermark=[-(CASE(IS NULL(create_time), > 1970-01-01 00:00:00:TIMESTAMP(3), CAST(create_time AS TIMESTAMP(3))), > 5000:INTERVAL SECOND)]]], fields=[row_kind, id, sys_date, bg_rel_trans_id, > order_state, create_time, update_time, divide_fee_amt, divide_fee_flag]) >+- [2]:Calc(select=[sys_date, bg_rel_trans_id, create_time, >IF(SEARCH(row_kind, Sarg[_UTF-16LE'-D', _UTF-16LE'-U']), (-1 * >divide_fee_amt), divide_fee_amt) AS div_fee_amt, Reinterpret(CASE(create_time >IS NULL, 1970-01-01 00:00:00, CAST(create_time AS TIMESTAMP(3)))) AS ts], >where=[((order_state = '2') AND (divide_fee_amt > 0) AND (sys_date = >DATE_FORMAT(CAST(CURRENT_TIMESTAMP() AS TIMESTAMP(9)), 'yyyy-MM-dd')))]) > +- > [3]:LookupJoin(table=[default_catalog.default_database.dim_ymfz_prod_sys_trans_log], > joinType=[LeftOuterJoin], async=[false], > lookup=[bg_rel_trans_id=bg_rel_trans_id], where=[(trans_date = > DATE_FORMAT(CAST(CURRENT_TIMESTAMP() AS TIMESTAMP(9)), 'yyyyMMdd'))], > select=[sys_date, bg_rel_trans_id, create_time, div_fee_amt, ts, > bg_rel_trans_id, pay_type, member_id, mer_name]) > +- [4]:Calc(select=[sys_date, create_time, div_fee_amt, ts, pay_type, > member_id, mer_name], where=[(CHAR_LENGTH(member_id) > 1)]) > +- > [5]:LookupJoin(table=[default_catalog.default_database.dim_ptfz_ymfz_merchant_info], > joinType=[LeftOuterJoin], async=[false], > lookup=[data_source=_UTF-16LE'merch', pk_id=member_id], where=[(data_source = > 'merch')], select=[sys_date, create_time, div_fee_amt, ts, pay_type, > member_id, mer_name, pk_id, agent_id, bagent_id]) > +- [6]:Calc(select=[sys_date, create_time, div_fee_amt, ts, > pay_type, member_id, mer_name, agent_id, bagent_id]) > +- > [7]:LookupJoin(table=[default_catalog.default_database.dim_ptfz_ymfz_merchant_info], > joinType=[LeftOuterJoin], async=[false], lookup=[pk_id=agent_id], > where=[SEARCH(data_source, Sarg[_UTF-16LE'agent', _UTF-16LE'ex_agent'])], > select=[sys_date, create_time, div_fee_amt, ts, pay_type, member_id, > mer_name, agent_id, bagent_id, pk_id, bagent_id, fagent_id]) > +- [8]:Calc(select=[sys_date, create_time, div_fee_amt, ts, > pay_type, member_id, mer_name, bagent_id, bagent_id0, fagent_id AS > fagent_id0]) > +- > [9]:LookupJoin(table=[default_catalog.default_database.dim_ptfz_ymfz_merchant_info], > joinType=[LeftOuterJoin], async=[false], > lookup=[data_source=_UTF-16LE'agent', pk_id=fagent_id0], where=[(data_source > = 'agent')], select=[sys_date, create_time, div_fee_amt, ts, pay_type, > member_id, mer_name, bagent_id, bagent_id0, fagent_id0, pk_id, agent_name, > bagent_name]) > .... > > >为什么关联第一张维表dim_ymfz_prod_sys_trans_log的限制条件AND b.trans_date = DATE_FORMAT >(CURRENT_TIMESTAMP, 'yyyyMMdd') 在执行计划中，不作为 lookup的条件 ==> >lookup=[bg_rel_trans_id=bg_rel_trans_id], >关联第二张维表 dim_ptfz_ymfz_merchant_info 的限制条件ON b.member_id = c.pk_id AND >c.data_source = 'merch' 在执行计划中，都是作为lookup的条件 ==> >lookup=[data_source=_UTF-16LE'merch', pk_id=member_id], >关联第三张维表dim_ptfz_ymfz_merchant_info的限制条件 ON c.agent_id = d.pk_id AND >(d.data_source = 'ex_agent' OR d.data_source = 'agent') >中关于data_source的条件，在执行计划中不是lookup的条件 ==> lookup=[pk_id=agent_id], >关联维表的限制条件有的会作为关联条件，有的不作为关联条件吗？ 这种有什么规律吗？ 因为这个会关乎维表的索引字段的设置。 > > > > >
