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The following commit(s) were added to refs/heads/master by this push: new 311f32f [SPARK-26571][SQL] Update Hive Serde mapping with canonical name of Parquet and Orc FileFormat 311f32f is described below commit 311f32f37fbeaebe9dfa0b8dc2a111ee99b583b7 Author: Gengliang Wang <gengliang.w...@databricks.com> AuthorDate: Wed Jan 9 10:18:33 2019 +0800 [SPARK-26571][SQL] Update Hive Serde mapping with canonical name of Parquet and Orc FileFormat ## What changes were proposed in this pull request? Currently Spark table maintains Hive catalog storage format, so that Hive client can read it. In `HiveSerDe.scala`, Spark uses a mapping from its data source to HiveSerde. The mapping is old, we need to update with latest canonical name of Parquet and Orc FileFormat. Otherwise the following queries will result in wrong Serde value in Hive table(default value `org.apache.hadoop.mapred.SequenceFileInputFormat`), and Hive client will fail to read the output table: ``` df.write.format("org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat").saveAsTable(..) ``` ``` df.write.format("org.apache.spark.sql.execution.datasources.orc.OrcFileFormat").saveAsTable(..) ``` This minor PR is to fix the mapping. ## How was this patch tested? Unit test. Closes #23491 from gengliangwang/fixHiveSerdeMap. Authored-by: Gengliang Wang <gengliang.w...@databricks.com> Signed-off-by: Wenchen Fan <wenc...@databricks.com> --- .../org/apache/spark/sql/internal/HiveSerDe.scala | 2 ++ .../spark/sql/hive/HiveMetastoreCatalogSuite.scala | 18 ++++++++++++++ .../spark/sql/hive/orc/HiveOrcSourceSuite.scala | 29 ---------------------- 3 files changed, 20 insertions(+), 29 deletions(-) diff --git a/sql/core/src/main/scala/org/apache/spark/sql/internal/HiveSerDe.scala b/sql/core/src/main/scala/org/apache/spark/sql/internal/HiveSerDe.scala index eca612f..bd25a64 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/internal/HiveSerDe.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/internal/HiveSerDe.scala @@ -74,8 +74,10 @@ object HiveSerDe { def sourceToSerDe(source: String): Option[HiveSerDe] = { val key = source.toLowerCase(Locale.ROOT) match { case s if s.startsWith("org.apache.spark.sql.parquet") => "parquet" + case s if s.startsWith("org.apache.spark.sql.execution.datasources.parquet") => "parquet" case s if s.startsWith("org.apache.spark.sql.orc") => "orc" case s if s.startsWith("org.apache.spark.sql.hive.orc") => "orc" + case s if s.startsWith("org.apache.spark.sql.execution.datasources.orc") => "orc" case s if s.equals("orcfile") => "orc" case s if s.equals("parquetfile") => "parquet" case s if s.equals("avrofile") => "avro" diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveMetastoreCatalogSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveMetastoreCatalogSuite.scala index 688b619..5c9261c 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveMetastoreCatalogSuite.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveMetastoreCatalogSuite.scala @@ -159,10 +159,28 @@ class DataSourceWithHiveMetastoreCatalogSuite "org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe" )), + "org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat" -> (( + "org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat", + "org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat", + "org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe" + )), + "orc" -> (( "org.apache.hadoop.hive.ql.io.orc.OrcInputFormat", "org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat", "org.apache.hadoop.hive.ql.io.orc.OrcSerde" + )), + + "org.apache.spark.sql.hive.orc" -> (( + "org.apache.hadoop.hive.ql.io.orc.OrcInputFormat", + "org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat", + "org.apache.hadoop.hive.ql.io.orc.OrcSerde" + )), + + "org.apache.spark.sql.execution.datasources.orc.OrcFileFormat" -> (( + "org.apache.hadoop.hive.ql.io.orc.OrcInputFormat", + "org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat", + "org.apache.hadoop.hive.ql.io.orc.OrcSerde" )) ).foreach { case (provider, (inputFormat, outputFormat, serde)) => test(s"Persist non-partitioned $provider relation into metastore as managed table") { diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/HiveOrcSourceSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/HiveOrcSourceSuite.scala index 7fefaf5..c46512b 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/HiveOrcSourceSuite.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/HiveOrcSourceSuite.scala @@ -21,11 +21,9 @@ import java.io.File import org.apache.spark.sql.{AnalysisException, Row} import org.apache.spark.sql.TestingUDT.{IntervalData, IntervalUDT} -import org.apache.spark.sql.catalyst.TableIdentifier import org.apache.spark.sql.execution.datasources.orc.OrcSuite import org.apache.spark.sql.hive.HiveUtils import org.apache.spark.sql.hive.test.TestHiveSingleton -import org.apache.spark.sql.internal.HiveSerDe import org.apache.spark.sql.types._ import org.apache.spark.util.Utils @@ -67,33 +65,6 @@ class HiveOrcSourceSuite extends OrcSuite with TestHiveSingleton { """.stripMargin) } - test("SPARK-22972: hive orc source") { - val tableName = "normal_orc_as_source_hive" - withTable(tableName) { - sql( - s""" - |CREATE TABLE $tableName - |USING org.apache.spark.sql.hive.orc - |OPTIONS ( - | PATH '${new File(orcTableAsDir.getAbsolutePath).toURI}' - |) - """.stripMargin) - - val tableMetadata = spark.sessionState.catalog.getTableMetadata( - TableIdentifier(tableName)) - assert(tableMetadata.storage.inputFormat == - Option("org.apache.hadoop.hive.ql.io.orc.OrcInputFormat")) - assert(tableMetadata.storage.outputFormat == - Option("org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat")) - assert(tableMetadata.storage.serde == - Option("org.apache.hadoop.hive.ql.io.orc.OrcSerde")) - assert(HiveSerDe.sourceToSerDe("org.apache.spark.sql.hive.orc") - .equals(HiveSerDe.sourceToSerDe("orc"))) - assert(HiveSerDe.sourceToSerDe("org.apache.spark.sql.orc") - .equals(HiveSerDe.sourceToSerDe("orc"))) - } - } - test("SPARK-19459/SPARK-18220: read char/varchar column written by Hive") { val location = Utils.createTempDir() val uri = location.toURI --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org