In migrating from Hive QL to BigSQL, Sprint has found that their user community used the Hive semi-join function. To minimize the rewriting required, BigSQL support of semi-join is requested.
|Who would benefit from this IDEA?||Save time in the migration from Hive QL to BigSQL|
How should it work?
Attaching a sample query:
select 2018_singlepay.ban, 2018_singlepay.payments, 2018_singlepay.payment_amt, 2018_singlepay.reversals, 2018_singlepay.reversal_amt, 2018_singlepay.payment_date, 2018_singlepay.pay_date, 2018_singlepay.reverse_date, 2018_singlepay.rev_date, 2018_singlepay.writtenoff, 2018_singlepay.write_off_amt, 2018_singlepay.exit_or_write_dt, 2018_singlepay.collections, 2018_singlepay.coll_enterdate, 2018_singlepay.pay_bfr_coll, 2018_singlepay.pay_afr_coll_bfr_wo, 2018_singlepay.pay_afr_wo, 2018_singlepay.diff_pay_coll, 2018_singlepay.diff_pay_wo, 2018_singlepay.care_call_flg, 2018_singlepay.tmjt_cal_reas_low_txt, 2018_singlepay.tmjt_cal_day_dt, 2018_singlepay.pay_after_call, 2018_singlepay.tmsb_acct_strt_dt from 0bq_analysis.2018_singlepay 2018_singlepay
left semi join (select distinct tpp_ban_mstr.ban from 0bq_ingst.tpp_ban_mstr where tpp_ban_mstr.yyyymmddhhmm=0bq_ingst.GetLatestPartition('0bq_ingst','tpp_ban_mstr')) b on 2018_singlepay.ban=b.ban
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