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hare
by New Contributor III
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Failed to merge incompatible data types

We are processing the josn file from the storage location on every day and it will get archived once the records are appended into the respective tables.source_location_path: "..../mon=05/day=01/fld1" , "..../mon=05/day=01/fld2" ..... "..../mon=05/d...

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Shalabh007
Honored Contributor
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@Hare Krishnan​ the issues highlighted can easily be handled using the .option("mergeSchema", "true") at the time of reading all the files.Sample code:spark.read.option("mergeSchema", "true").json(<file paths>, multiLine=True)The only scenario this w...

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