From 7c0a648fb5537ba7a1fe2545ead49219b14b656c Mon Sep 17 00:00:00 2001
From: Cheng Lian <lian@databricks.com>
Date: Thu, 5 Feb 2015 18:09:18 -0800
Subject: [PATCH] [HOTFIX] [SQL] Disables Metastore Parquet table conversion
for "SQLQuerySuite.CTAS with serde"
Ideally we should convert Metastore Parquet tables with our own Parquet implementation on both read path and write path. However, the write path is not well covered, and causes this test failure. This PR is a hotfix to bring back Jenkins PR builder. A proper fix will be delivered in a follow-up PR.
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Author: Cheng Lian <lian@databricks.com>
Closes #4413 from liancheng/hotfix-parquet-ctas and squashes the following commits:
5291289 [Cheng Lian] Hot fix for "SQLQuerySuite.CTAS with serde"
---
.../sql/hive/execution/SQLQuerySuite.scala | 57 ++++++++++---------
1 file changed, 30 insertions(+), 27 deletions(-)
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
index 22310ffadd..49fe79d989 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
@@ -17,13 +17,10 @@
package org.apache.spark.sql.hive.execution
-import org.apache.spark.sql.QueryTest
-
-import org.apache.spark.sql.Row
+import org.apache.spark.sql.hive.HiveShim
import org.apache.spark.sql.hive.test.TestHive._
import org.apache.spark.sql.types._
-import org.apache.spark.util.Utils
-import org.apache.spark.sql.hive.HiveShim
+import org.apache.spark.sql.{QueryTest, Row, SQLConf}
case class Nested1(f1: Nested2)
case class Nested2(f2: Nested3)
@@ -109,28 +106,34 @@ class SQLQuerySuite extends QueryTest {
)
if (HiveShim.version =="0.13.1") {
- sql(
- """CREATE TABLE ctas5
- | STORED AS parquet AS
- | SELECT key, value
- | FROM src
- | ORDER BY key, value""".stripMargin).collect
-
- checkExistence(sql("DESC EXTENDED ctas5"), true,
- "name:key", "type:string", "name:value", "ctas5",
- "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",
- "MANAGED_TABLE"
- )
-
- val default = getConf("spark.sql.hive.convertMetastoreParquet", "true")
- // use the Hive SerDe for parquet tables
- sql("set spark.sql.hive.convertMetastoreParquet = false")
- checkAnswer(
- sql("SELECT key, value FROM ctas5 ORDER BY key, value"),
- sql("SELECT key, value FROM src ORDER BY key, value").collect().toSeq)
- sql(s"set spark.sql.hive.convertMetastoreParquet = $default")
+ val origUseParquetDataSource = conf.parquetUseDataSourceApi
+ try {
+ setConf(SQLConf.PARQUET_USE_DATA_SOURCE_API, "false")
+ sql(
+ """CREATE TABLE ctas5
+ | STORED AS parquet AS
+ | SELECT key, value
+ | FROM src
+ | ORDER BY key, value""".stripMargin).collect()
+
+ checkExistence(sql("DESC EXTENDED ctas5"), true,
+ "name:key", "type:string", "name:value", "ctas5",
+ "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",
+ "MANAGED_TABLE"
+ )
+
+ val default = getConf("spark.sql.hive.convertMetastoreParquet", "true")
+ // use the Hive SerDe for parquet tables
+ sql("set spark.sql.hive.convertMetastoreParquet = false")
+ checkAnswer(
+ sql("SELECT key, value FROM ctas5 ORDER BY key, value"),
+ sql("SELECT key, value FROM src ORDER BY key, value").collect().toSeq)
+ sql(s"set spark.sql.hive.convertMetastoreParquet = $default")
+ } finally {
+ setConf(SQLConf.PARQUET_USE_DATA_SOURCE_API, origUseParquetDataSource.toString)
+ }
}
}
--
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