jonathanmorais edited a comment on issue #2123: URL: https://github.com/apache/hudi/issues/2123#issuecomment-742607488
@satishkotha not exacly, I followed the tip `hoodie.datasource.hive_sync.support_timestamp=true` and it's not working for me, using partitioned tables, I thought this could be the problem. here my spark-submit: ``` spark-submit --class org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamer \ --packages org.apache.spark:spark-avro_2.11:2.4.4,org.apache.hudi:hudi-utilities-bundle_2.11:0.5.1-incubating \ --conf "spark.serializer=org.apache.spark.serializer.KryoSerializer" \ --master yarn --deploy-mode client \ /usr/lib/hudi/hudi-spark-bundle.jar,/usr/lib/hudi/hudi-utilities-bundle.jar,/usr/lib/spark/external/lib/spark-avro.jar \ --source-ordering-field <id_field> \ --source-class org.apache.hudi.utilities.sources.ParquetDFSSource \ --target-base-path s3://<bucket>/<prefix --target-table <table> --table-type COPY_ON_WRITE \ --transformer-class org.apache.hudi.utilities.transform.AWSDmsTransformer \ --payload-class org.apache.hudi.payload.AWSDmsAvroPayload \ --hoodie-conf hoodie.datasource.hive_sync.support_timestamp=true,hoodie.datasource.write.recordkey.field=<id_field>,hoodie.datasource.write.partitionpath.field=<partition_field>,hoodie.deltastreamer.source.dfs.root=s3://<bucket>/<preifx> ``` ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
