mkk1490 commented on issue #3313:
URL: https://github.com/apache/hudi/issues/3313#issuecomment-886010620
@nsivabalan I'm so sorry. That's my mistake. I'm trying to update the next
field to src_pri_psbr_id which is pri_az_cust_id. Please find the dfs below:
Insert:
df_ins = spark.createDataFrame([
('10490113453106300000','561295328','2018-02-26
00:00:00','129999','18078735','15889231','OTHER PLACE OF
SERVICE','53200900','RESP','201802'),
('10490120407605900000','559017519','2018-02-26
00:00:00','24290619','100','','OTHER PLACE OF
SERVICE','53214384','RESP','201802'),
('10490116725506700000','1275017082','2018-02-27
00:00:00','209999','7875173','56874023','INPATIENT
HOSPITAL','53201132','RESP','201802'),
('10420113469301100000','1705523399','2018-02-26
00:00:00','20045','7088459','55674640','EMERGENCY ROOM -
HOSPITAL','53199046','RESP','201802'),
('10419114183800600000','29764982','2018-02-26
00:00:00','11659999','7786313','56694289','OFFICE','53207492','RESP','201802'),
('10490115064904900000','5007290360','2018-02-27
00:00:00','11720002','6937467','57968295','INPATIENT
HOSPITAL','53207546','RESP','201803'),
('10419114186102800000','4968929315','2018-02-27
00:00:00','38930013','7311494','55315237','OFFICE','1002607736','RESP','201803'),
('10236114374904400000','320648979','2018-02-26
00:00:00','35160001','100','','INDEPENDENT
LABORATORY','53217687','RESP','201803'),
('10809131289117500000','505439892','2018-02-28
00:00:00','20860001','2492213','52847481','OTHER PLACE OF
SERVICE','53212703','RESP','201803'),
('10419123011601800000','3138080815','2018-02-25
00:00:00','32060002','7574212','58923898','INPATIENT
HOSPITAL','1002608174','RESP','201803') ],
['claim_id','pat_id','claim_subm_dt','src_plan_id','src_pri_psbr_id','pri_az_cust_id','plac_of_srvc_cd','az_plan_id','src_sys_nm','yr_mth']
).withColumn('claim_subm_dt', F.expr("cast(claim_subm_dt as
timestamp)")).withColumn('yr_mth', F.expr("cast(yr_mth as int)"))
Update:
df_upd = spark.createDataFrame([
('10490113453106300000','561295328','2018-02-26
00:00:00','129999','18078735','15889231','OTHER PLACE OF
SERVICE','53200900','RESP','201802'),
('10490120407605900000','559017519','2018-02-26
00:00:00','24290619','100','32531','OTHER PLACE OF
SERVICE','53214384','RESP','201802'),
('10490116725506700000','1275017082','2018-02-27
00:00:00','209999','7875173','56874023','INPATIENT
HOSPITAL','53201132','RESP','201802'),
('10420113469301100000','1705523399','2018-02-26
00:00:00','20045','7088459','55674640','EMERGENCY ROOM -
HOSPITAL','53199046','RESP','201802'),
('10419114183800600000','29764982','2018-02-26
00:00:00','11659999','7786313','56694289','OFFICE','53207492','RESP','201802'),
('10490115064904900000','5007290360','2018-02-27
00:00:00','11720002','6937467','57968295','INPATIENT
HOSPITAL','53207546','RESP','201803'),
('10419114186102800000','4968929315','2018-02-27
00:00:00','38930013','7311494','55315237','OFFICE','1002607736','RESP','201803'),
('10236114374904400000','320648979','2018-02-26
00:00:00','35160001','100','32531','INDEPENDENT
LABORATORY','53217687','RESP','201803'),
('10809131289117500000','505439892','2018-02-28
00:00:00','20860001','2492213','52847481','OTHER PLACE OF
SERVICE','53212703','RESP','201803'),
('10419123011601800000','3138080815','2018-02-25
00:00:00','32060002','7574212','58923898','INPATIENT
HOSPITAL','1002608174','RESP','201803') ],
['claim_id','pat_id','claim_subm_dt','src_plan_id','src_pri_psbr_id','pri_az_cust_id','plac_of_srvc_cd','az_plan_id','src_sys_nm','yr_mth']
).withColumn('claim_subm_dt', F.expr("cast(claim_subm_dt as
timestamp)")).withColumn('yr_mth', F.expr("cast(yr_mth as int)"))
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