Hello, version = spark 2.4.3
I have 3 different sources json logs data which having same schema(same columns order) in the raw data and want to add one new column as "src_category" for all the 3 different source to distinguish the source category and merge all the 3 different sources into the single dataframe to read the json data for the processing.what is the best way to handle this case. df = spark.read.json(merged_3sourcesraw_data) Input: s3a://my-bucket/ingestion/source1/y=2019/m=12/d=12/logs1.json s3a://my-bucket/ingestion/source2/y=2019/m=12/d=12/logs1.json s3a://my-bucket/ingestion/source3/y=2019/m=12/d=12/logs1.json output: s3a://my-bucket/ingestion/processed/y=2019/m=12/d=12/src_category=other s3a://my-bucket/ingestion/processed/y=2019/m=12/d=12/src_category=windows-new s3a://my-bucket/ingestion/processed/y=2019/m=12/d=12/src_category=windows Thanks -- Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/ --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
