Added withClue

Author: MaxGekk

sql/hive/src/test/scala/org/apache/spark/sql/sources/HadoopFsRelationTest.scala

@@ -143,40 +143,43 @@ abstract class HadoopFsRelationTest extends QueryTest with SQLTestUtils with Tes
           withTempPath { file =>
             val path = file.getCanonicalPath
 
-            val dataGenerator = RandomDataGenerator.forType(
-              dataType = dataType,
-              nullable = true,
-              new Random(System.nanoTime())
-            ).getOrElse {
-              fail(s"Failed to create data generator for schema $dataType")
+            val seed = System.nanoTime()
+            withClue(s"Random data generated with the seed: ${seed}") {
+              val dataGenerator = RandomDataGenerator.forType(
+                dataType = dataType,
+                nullable = true,
+                new Random(seed)
+              ).getOrElse {
+                fail(s"Failed to create data generator for schema $dataType")
+              }
+
+              // Create a DF for the schema with random data. The index field is used to sort the
+              // DataFrame.  This is a workaround for SPARK-10591.
+              val schema = new StructType()
+                .add("index", IntegerType, nullable = false)
+                .add("col", dataType, nullable = true)
+              val rdd =
+                spark.sparkContext.parallelize((1 to 10).map(i => Row(i, dataGenerator())))
+              val df = spark.createDataFrame(rdd, schema).orderBy("index").coalesce(1)
+
+              df.write
+                .mode("overwrite")
+                .format(dataSourceName)
+                .option("dataSchema", df.schema.json)
+                .options(extraOptions)
+                .save(path)
+
+              val loadedDF = spark
+                .read
+                .format(dataSourceName)
+                .option("dataSchema", df.schema.json)
+                .schema(df.schema)
+                .options(extraOptions)
+                .load(path)
+                .orderBy("index")
+
+              checkAnswer(loadedDF, df)
             }
-
-            // Create a DF for the schema with random data. The index field is used to sort the
-            // DataFrame.  This is a workaround for SPARK-10591.
-            val schema = new StructType()
-              .add("index", IntegerType, nullable = false)
-              .add("col", dataType, nullable = true)
-            val rdd =
-              spark.sparkContext.parallelize((1 to 10).map(i => Row(i, dataGenerator())))
-            val df = spark.createDataFrame(rdd, schema).orderBy("index").coalesce(1)
-
-            df.write
-              .mode("overwrite")
-              .format(dataSourceName)
-              .option("dataSchema", df.schema.json)
-              .options(extraOptions)
-              .save(path)
-
-            val loadedDF = spark
-              .read
-              .format(dataSourceName)
-              .option("dataSchema", df.schema.json)
-              .schema(df.schema)
-              .options(extraOptions)
-              .load(path)
-              .orderBy("index")
-
-            checkAnswer(loadedDF, df)
           }
         }
       }