rajgowtham24 commented on issue #2075:
URL: https://github.com/apache/hudi/issues/2075#issuecomment-691079649
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rajgowtham24 commented on issue #2075:
URL: https://github.com/apache/hudi/issues/2075#issuecomment-691079649
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rajgowtham24 commented on issue #2075:
URL: https://github.com/apache/hudi/issues/2075#issuecomment-691079649
Thanks @bvaradar will check on that
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rajgowtham24 commented on issue #2075:
URL: https://github.com/apache/hudi/issues/2075#issuecomment-688806064
Hi @tooptoop4 ,
While reading the csv file i have used inferschema option as mentioned below
input_df =
spark.read.format("csv").option("header","true").option("infers
rajgowtham24 commented on issue #2075:
URL: https://github.com/apache/hudi/issues/2075#issuecomment-688433196
yeah.. will take a look on the casting for the precombine key column and let
you know for any concerns. Thanks @tooptoop4
rajgowtham24 commented on issue #2075:
URL: https://github.com/apache/hudi/issues/2075#issuecomment-688402024
yeah.. it's string.. the dataframe is created directly on-top of s3 files
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