减少大型查询的执行时间

8yparm6h  于 2021-05-27  发布在  Hadoop
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我的查询需要30多分钟来处理此查询。它确实适用于非常大的数据集,但我可能缺少一些基本的东西,可以减少执行时间。
query在许多reducer阶段工作,每个阶段使用1000+个reducer。在tez引擎上运行。
我试图启用cbo,但没有运气,也试图限制还原到500,但执行时间仍然很高。

select itt.tr_date, sum (bkt_sum_pc) as pts 
from itops_trxn itt,
( select acttrxnID, max(act_cmp_id) as act_cmp_id 
   from itops_trxn_act a, ll_act_act_trxn b where a.act_trxn_ID = b.ACOUNTtrxnID group by  acttrxnID 
) A, 
(select cmp_id, max (cmp_name) as name 
   from itops_offer group by  cmp_id
) c 
where itt.acttrxnID = A.acttrxnID and act_cmp_id = c.cmp_id
and itt.type = 'ajstmnt' 
and itt.event_header_event_name NOT IN ('composite.sys.act.merge', 'pos.sys.identity', 'composite.sys.act.pcmerge') 
and itt.event_atomic_operation_type  = 'CT'
and itt.tr_date >='2018-10-31' 
group by itt.tr_date, channel, location_storeparentid, meta_trxnreason,  act_cmp_id,name;
zsbz8rwp

zsbz8rwp1#

显式重写联接并移动这些条件 where itt.acttrxnID = A.acttrxnID and act_cmp_id = c.cmp_id 对于join on子句:

select itt.tr_date, sum (bkt_sum_pc) as pts 
from itops_trxn itt
INNER JOIN
( select acttrxnID, max(act_cmp_id) as act_cmp_id 
   from itops_trxn_act a, ll_act_act_trxn b where a.act_trxn_ID = b.ACOUNTtrxnID group by  acttrxnID 
) A           ON itt.acttrxnID = A.acttrxnID
INNER JOIN 
(select cmp_id, max (cmp_name) as name 
   from itops_offer group by  cmp_id
) c           ON A.act_cmp_id = c.cmp_id
where itt.type = 'ajstmnt' 
and itt.event_header_event_name NOT IN ('composite.sys.act.merge', 'pos.sys.identity', 'composite.sys.act.pcmerge') 
and itt.event_atomic_operation_type  = 'CT'
and itt.tr_date >='2018-10-31' 
group by itt.tr_date, channel, location_storeparentid, meta_trxnreason,  act_cmp_id,name;

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