diff options
| -rw-r--r-- | core/src/test/scala/org/apache/spark/ContextCleanerSuite.scala | 4 | ||||
| -rw-r--r-- | examples/src/main/scala/org/apache/spark/examples/ml/DataFrameExample.scala | 4 |
2 files changed, 4 insertions, 4 deletions
diff --git a/core/src/test/scala/org/apache/spark/ContextCleanerSuite.scala b/core/src/test/scala/org/apache/spark/ContextCleanerSuite.scala index 69ff6c7c28..6724af9525 100644 --- a/core/src/test/scala/org/apache/spark/ContextCleanerSuite.scala +++ b/core/src/test/scala/org/apache/spark/ContextCleanerSuite.scala @@ -32,6 +32,7 @@ import org.apache.spark.internal.Logging import org.apache.spark.rdd.{RDD, ReliableRDDCheckpointData} import org.apache.spark.shuffle.sort.SortShuffleManager import org.apache.spark.storage._ +import org.apache.spark.util.Utils /** * An abstract base class for context cleaner tests, which sets up a context with a config @@ -206,8 +207,7 @@ class ContextCleanerSuite extends ContextCleanerSuiteBase { } test("automatically cleanup normal checkpoint") { - val checkpointDir = java.io.File.createTempFile("temp", "") - checkpointDir.deleteOnExit() + val checkpointDir = Utils.createTempDir() checkpointDir.delete() var rdd = newPairRDD() sc.setCheckpointDir(checkpointDir.toString) diff --git a/examples/src/main/scala/org/apache/spark/examples/ml/DataFrameExample.scala b/examples/src/main/scala/org/apache/spark/examples/ml/DataFrameExample.scala index c69027babb..11faa6192b 100644 --- a/examples/src/main/scala/org/apache/spark/examples/ml/DataFrameExample.scala +++ b/examples/src/main/scala/org/apache/spark/examples/ml/DataFrameExample.scala @@ -28,6 +28,7 @@ import org.apache.spark.ml.linalg.Vector import org.apache.spark.mllib.linalg.Vectors import org.apache.spark.mllib.stat.MultivariateOnlineSummarizer import org.apache.spark.sql.{DataFrame, Row, SparkSession} +import org.apache.spark.util.Utils /** * An example of how to use [[org.apache.spark.sql.DataFrame]] for ML. Run with @@ -86,8 +87,7 @@ object DataFrameExample { println(s"Selected features column with average values:\n ${featureSummary.mean.toString}") // Save the records in a parquet file. - val tmpDir = Files.createTempDir() - tmpDir.deleteOnExit() + val tmpDir = Utils.createTempDir() val outputDir = new File(tmpDir, "dataframe").toString println(s"Saving to $outputDir as Parquet file.") df.write.parquet(outputDir) |