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[SPARK-19816][SQL][Tests] Fix an issue that DataFrameCallbackSuite doesn't recover the log level #17156

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[SPARK-19816][SQL][Tests] Fix an issue that DataFrameCallbackSuite doesn't recover the log level #17156

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4 changes: 1 addition & 3 deletions sql/core/src/test/scala/org/apache/spark/sql/util/DataFrameCallbackSuite.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -60,7 +60,7 @@ class DataFrameCallbackSuite extends QueryTest with SharedSQLContext {
spark.listenerManager.unregister(listener)
}

test("execute callback functions when a DataFrame action failed") {
testQuietly("execute callback functions when a DataFrame action failed") {
val metrics = ArrayBuffer.empty[(String, QueryExecution, Exception)]
val listener = new QueryExecutionListener {
override def onFailure(funcName: String, qe: QueryExecution, exception: Exception): Unit = {
Expand All @@ -75,8 +75,6 @@ class DataFrameCallbackSuite extends QueryTest with SharedSQLContext {
val errorUdf = udf[Int, Int] { _ => throw new RuntimeException("udf error") }
val df = sparkContext.makeRDD(Seq(1 -> "a")).toDF("i", "j")

// Ignore the log when we are expecting an exception.
sparkContext.setLogLevel("FATAL")
val e = intercept[SparkException](df.select(errorUdf($"i")).collect())

assert(metrics.length == 1)
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