Details
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Bug
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Status: Open
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Major
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Resolution: Unresolved
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1.6.1
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None
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None
Description
When executes `drop table carbon_table_xxx`, it costs huge time if there are a lot of tables in the warehouse.
Here is TraceStack:
- locked <0x00000006dd91f450> (a org.apache.spark.sql.hive.HiveExternalCatalog) at org.apache.spark.sql.hive.HiveExternalCatalog.listTables(HiveExternalCatalog.scala:869) at org.apache.spark.sql.catalyst.catalog.SessionCatalog.listTables(SessionCatalog.scala:811) at org.apache.spark.sql.catalyst.catalog.SessionCatalog.listTables(SessionCatalog.scala:795) at org.apache.spark.sql.hive.CarbonFileMetastore$$anonfun$4.apply(CarbonFileMetastore.scala:585) at org.apache.spark.sql.hive.CarbonFileMetastore$$anonfun$4.apply(CarbonFileMetastore.scala:584) at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241) at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241) at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104) at org.apache.spark.sql.hive.CarbonFileMetastore.removeStaleTimeStampEntries(CarbonFileMetastore.scala:583) at org.apache.spark.sql.execution.command.table.CarbonDropTableCommand.processMetadata(CarbonDropTableCommand.scala:192) at org.apache.spark.sql.execution.command.AtomicRunnableCommand$$anonfun$run$3.apply(package.scala:146) at org.apache.spark.sql.execution.command.AtomicRunnableCommand$$anonfun$run$3.apply(package.scala:145) at org.apache.spark.sql.execution.command.Auditable$class.runWithAudit(package.scala:104)
Here is code which iterates tables:
def removeStaleTimeStampEntries(sparkSession: SparkSession): Unit = { val tablesList = sparkSession.sessionState.catalog.listDatabases().flatMap { database => sparkSession.sessionState.catalog.listTables(database) .map(table => CarbonTable.buildUniqueName(database, table.table)) } ... }