From 6696ad0e8ce196a27e2908108f6e7eb7661affc4 Mon Sep 17 00:00:00 2001 From: Xiao Li Date: Wed, 26 Apr 2017 11:39:10 +0800 Subject: [PATCH] [SPARK-20439][SQL][BACKPORT-2.1] Fix Catalog API listTables and getTable when failed to fetch table metadata ### What changes were proposed in this pull request? This PR is to backport https://github.com/apache/spark/pull/17730 to Spark 2.1 --- -- `spark.catalog.listTables` and `spark.catalog.getTable` does not work if we are unable to retrieve table metadata due to any reason (e.g., table serde class is not accessible or the table type is not accepted by Spark SQL). After this PR, the APIs still return the corresponding Table without the description and tableType) ### How was this patch tested? Added a test case Author: Xiao Li Closes #17760 from gatorsmile/backport-17730. --- .../spark/sql/internal/CatalogImpl.scala | 28 +++++++++++++++---- .../sql/hive/execution/HiveDDLSuite.scala | 8 ++++++ 2 files changed, 31 insertions(+), 5 deletions(-) diff --git a/sql/core/src/main/scala/org/apache/spark/sql/internal/CatalogImpl.scala b/sql/core/src/main/scala/org/apache/spark/sql/internal/CatalogImpl.scala index 9d0b2141d453f..c3c3513090730 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/internal/CatalogImpl.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/internal/CatalogImpl.scala @@ -19,6 +19,7 @@ package org.apache.spark.sql.internal import scala.collection.JavaConverters._ import scala.reflect.runtime.universe.TypeTag +import scala.util.control.NonFatal import org.apache.spark.annotation.Experimental import org.apache.spark.sql._ @@ -99,14 +100,27 @@ class CatalogImpl(sparkSession: SparkSession) extends Catalog { CatalogImpl.makeDataset(tables, sparkSession) } + /** + * Returns a Table for the given table/view or temporary view. + * + * Note that this function requires the table already exists in the Catalog. + * + * If the table metadata retrieval failed due to any reason (e.g., table serde class + * is not accessible or the table type is not accepted by Spark SQL), this function + * still returns the corresponding Table without the description and tableType) + */ private def makeTable(tableIdent: TableIdentifier): Table = { - val metadata = sessionCatalog.getTempViewOrPermanentTableMetadata(tableIdent) + val metadata = try { + Some(sessionCatalog.getTempViewOrPermanentTableMetadata(tableIdent)) + } catch { + case NonFatal(_) => None + } val isTemp = sessionCatalog.isTemporaryTable(tableIdent) new Table( name = tableIdent.table, - database = metadata.identifier.database.orNull, - description = metadata.comment.orNull, - tableType = if (isTemp) "TEMPORARY" else metadata.tableType.name, + database = metadata.map(_.identifier.database).getOrElse(tableIdent.database).orNull, + description = metadata.map(_.comment.orNull).orNull, + tableType = if (isTemp) "TEMPORARY" else metadata.map(_.tableType.name).orNull, isTemporary = isTemp) } @@ -197,7 +211,11 @@ class CatalogImpl(sparkSession: SparkSession) extends Catalog { * `AnalysisException` when no `Table` can be found. */ override def getTable(dbName: String, tableName: String): Table = { - makeTable(TableIdentifier(tableName, Option(dbName))) + if (tableExists(dbName, tableName)) { + makeTable(TableIdentifier(tableName, Option(dbName))) + } else { + throw new AnalysisException(s"Table or view '$tableName' not found in database '$dbName'") + } } /** diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala index 3b9437da372c2..037ab470f3032 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala @@ -1060,6 +1060,14 @@ class HiveDDLSuite s"CREATE INDEX $indexName ON TABLE $tabName (a) AS 'COMPACT' WITH DEFERRED REBUILD") val indexTabName = spark.sessionState.catalog.listTables("default", s"*$indexName*").head.table + + // Even if index tables exist, listTables and getTable APIs should still work + checkAnswer( + spark.catalog.listTables().toDF(), + Row(indexTabName, "default", null, null, false) :: + Row(tabName, "default", null, "MANAGED", false) :: Nil) + assert(spark.catalog.getTable("default", indexTabName).name === indexTabName) + intercept[TableAlreadyExistsException] { sql(s"CREATE TABLE $indexTabName(b int)") }