Like 函数优化

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优化前

SQL


SELECT
    A.DT,
    A.sdcuser_id as user_id,
    A.visitorid as app_device_id,
    A.visitid as sd_sid,
    b.activity_id,
    a.sdcSource      
FROM
    base.UDS_B_I_OMM_WEBTRENDS_T A,  -- 4426985
    tmp.LCBI_HDBG_HDMT_LIST B      -- nums : 1330
WHERE
    A.DT = 20171112       
    AND B.DT = 20171112       
    AND A.referer LIKE concat(b.url, '%');

优化手段

未优化

执行耗时

  • TEZ : 5625.915 seconds
  • MR :5784.321 seconds

LIKE 函数优化

SQL

SELECT
    A.DT,
    A.sdcuser_id as user_id,
    A.visitorid as app_device_id,
    A.visitid as sd_sid,
    b.activity_id,
    a.sdcSource      
FROM
    base.UDS_B_I_OMM_WEBTRENDS_T A,  -- 4426985
    tmp.LCBI_HDBG_HDMT_LIST B      -- nums : 1330
WHERE
    A.DT = 20171112       
    AND B.DT = 20171112       
    AND A.referer LIKE concat(b.url, '%');

优化手段

目前通过在JVM内存中缓存目标对象的方式,实现加速like匹配。

执行耗时

  • TEZ : 1600 seconds
  • MR : 1549 seconds

SQL语句调整(在函数优化后)

SQL

SELECT
    A.DT,
    A.sdcuser_id as user_id,
    A.visitorid as app_device_id,
    A.visitid as sd_sid,
    b.activity_id,
    a.sdcSource      
FROM
    base.UDS_B_I_OMM_WEBTRENDS_T A,  -- 4426985
    (select b.activity_id,concat(b.url, '%') as url from tmp.LCBI_HDBG_HDMT_LIST B where B.DT = 20171112  ) b      -- nums : 1330
WHERE
    A.DT = 20171112       
    AND A.referer LIKE b.url;

优化手段

把concat 函数提前计算好,这样在join及数据过滤的时候,执行效率至少有50%效率提升

执行耗时

  • TEZ : 796 seconds
  • MR :569.829 seconds

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转载自blog.csdn.net/wankunde/article/details/80360714