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-rw-r--r--sql/hive/src/test/scala/org/apache/spark/sql/hive/MetastoreDataSourcesSuite.scala13
-rw-r--r--sql/hive/src/test/scala/org/apache/spark/sql/sources/HadoopFsRelationTest.scala10
2 files changed, 12 insertions, 11 deletions
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/MetastoreDataSourcesSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/MetastoreDataSourcesSuite.scala
index 0f331bae93..7143adf02b 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/MetastoreDataSourcesSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/MetastoreDataSourcesSuite.scala
@@ -339,7 +339,7 @@ class MetastoreDataSourcesSuite extends QueryTest with SQLTestUtils with TestHiv
}.getMessage
assert(
- message.contains("Table ctasJsonTable already exists."),
+ message.contains("Table default.ctasJsonTable already exists."),
"We should complain that ctasJsonTable already exists")
// The following statement should be fine if it has IF NOT EXISTS.
@@ -515,7 +515,7 @@ class MetastoreDataSourcesSuite extends QueryTest with SQLTestUtils with TestHiv
assert(
intercept[AnalysisException] {
sparkSession.catalog.createExternalTable("createdJsonTable", jsonFilePath.toString)
- }.getMessage.contains("Table createdJsonTable already exists."),
+ }.getMessage.contains("Table default.createdJsonTable already exists."),
"We should complain that createdJsonTable already exists")
}
@@ -907,7 +907,8 @@ class MetastoreDataSourcesSuite extends QueryTest with SQLTestUtils with TestHiv
val e = intercept[AnalysisException] {
createDF(10, 19).write.mode(SaveMode.Append).format("orc").saveAsTable("appendOrcToParquet")
}
- assert(e.getMessage.contains("The file format of the existing table appendOrcToParquet " +
+ assert(e.getMessage.contains(
+ "The file format of the existing table default.appendOrcToParquet " +
"is `org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat`. " +
"It doesn't match the specified format `orc`"))
}
@@ -918,7 +919,8 @@ class MetastoreDataSourcesSuite extends QueryTest with SQLTestUtils with TestHiv
createDF(10, 19).write.mode(SaveMode.Append).format("parquet")
.saveAsTable("appendParquetToJson")
}
- assert(e.getMessage.contains("The file format of the existing table appendParquetToJson " +
+ assert(e.getMessage.contains(
+ "The file format of the existing table default.appendParquetToJson " +
"is `org.apache.spark.sql.execution.datasources.json.JsonFileFormat`. " +
"It doesn't match the specified format `parquet`"))
}
@@ -929,7 +931,8 @@ class MetastoreDataSourcesSuite extends QueryTest with SQLTestUtils with TestHiv
createDF(10, 19).write.mode(SaveMode.Append).format("text")
.saveAsTable("appendTextToJson")
}
- assert(e.getMessage.contains("The file format of the existing table appendTextToJson is " +
+ assert(e.getMessage.contains(
+ "The file format of the existing table default.appendTextToJson is " +
"`org.apache.spark.sql.execution.datasources.json.JsonFileFormat`. " +
"It doesn't match the specified format `text`"))
}
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/sources/HadoopFsRelationTest.scala b/sql/hive/src/test/scala/org/apache/spark/sql/sources/HadoopFsRelationTest.scala
index 27bb9676e9..22f13a494c 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/sources/HadoopFsRelationTest.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/sources/HadoopFsRelationTest.scala
@@ -337,9 +337,8 @@ abstract class HadoopFsRelationTest extends QueryTest with SQLTestUtils with Tes
}
test("saveAsTable()/load() - non-partitioned table - ErrorIfExists") {
- Seq.empty[(Int, String)].toDF().createOrReplaceTempView("t")
-
- withTempView("t") {
+ withTable("t") {
+ sql("CREATE TABLE t(i INT) USING parquet")
intercept[AnalysisException] {
testDF.write.format(dataSourceName).mode(SaveMode.ErrorIfExists).saveAsTable("t")
}
@@ -347,9 +346,8 @@ abstract class HadoopFsRelationTest extends QueryTest with SQLTestUtils with Tes
}
test("saveAsTable()/load() - non-partitioned table - Ignore") {
- Seq.empty[(Int, String)].toDF().createOrReplaceTempView("t")
-
- withTempView("t") {
+ withTable("t") {
+ sql("CREATE TABLE t(i INT) USING parquet")
testDF.write.format(dataSourceName).mode(SaveMode.Ignore).saveAsTable("t")
assert(spark.table("t").collect().isEmpty)
}