[GitHub] [incubator-kyuubi] pan3793 edited a comment on pull request #994: [KYUUBI #703] support hudi-0.9.0

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pan3793 edited a comment on pull request #994:
URL: https://github.com/apache/incubator-kyuubi/pull/994#issuecomment-909157748


   > ```
   > at org.apache.spark.sql.hudi.command.CreateHoodieTableCommand.createHiveDataSourceTable(CreateHoodieTableCommand.scala:214)
   > 	at org.apache.spark.sql.hudi.command.CreateHoodieTableCommand.createTableInCatalog(CreateHoodieTableCommand.scala:177)
   > 	at org.apache.spark.sql.hudi.command.CreateHoodieTableCommand.run(CreateHoodieTableCommand.scala:73)
   > 	at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
   > 	at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
   > 	at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
   > 	at org.apache.spark.sql.Dataset.$anonfun$logicalPlan$1(Dataset.scala:228)
   > 	at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3687)
   > ```
   > 
   > cc @pan3793, the data lakes are bound to hive metastore sometimes, are we good to use `in-memory` for them all?
   
   Make sense.
   For Iceberg, use neither hive catalog nor in-memory but a separate v2 catalog.
   For DeltaLake, both hive catalog and in-memory should be ok.


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