Github user brkyvz commented on a diff in the pull request:
https://github.com/apache/spark/pull/9367#discussion_r43927641
--- Diff:
core/src/test/scala/org/apache/spark/deploy/SparkSubmitSuite.scala ---
@@ -366,6 +367,72 @@ class SparkSubmitSuite
}
}
+ // SPARK-11195
+ test("classes are correctly loaded when tasks fail") {
+ // Compile a simple jar that throws a user defined exception on the
driver
+ val tempDir = Utils.createTempDir()
+ val srcDir = new File(tempDir, "repro/")
+ srcDir.mkdirs()
+ // scalastyle:off line.size.limit
+ val mainSource = new JavaSourceFromString(new File(srcDir,
"MyJob").getAbsolutePath,
+ """package repro;
+ |
+ |import java.util.*;
+ |import java.util.regex.*;
+ |import org.apache.spark.*;
+ |import org.apache.spark.api.java.*;
+ |import org.apache.spark.api.java.function.*;
+ |
+ |public class MyJob {
+ | public static class MyException extends Exception {
+ | }
+ |
+ | public static void main(String[] args) {
+ | SparkConf conf = new SparkConf();
+ | JavaSparkContext sc = new JavaSparkContext(conf);
+ |
+ | JavaRDD rdd = sc.parallelize(Arrays.asList(new Integer[]{1}),
1).map(new Function<Integer, Boolean>() {
+ | public Boolean call(Integer x) throws MyException {
+ | throw new MyException();
+ | }
+ | });
+ |
+ | try {
+ | rdd.collect();
+ |
+ | assert(false); // should be unreachable
+ | } catch (Exception e) {
+ | // the driver should not have any problems resolving the
exception class and determining
+ | // why the task failed.
+ |
+ | Pattern unknownFailure = Pattern.compile(".*Lost task.*:
UnknownReason.*", Pattern.DOTALL);
+ | Pattern expectedFailure = Pattern.compile(".*Lost task.*:
repro.MyJob\\$MyException.*", Pattern.DOTALL);
+ |
+ | assert(!unknownFailure.matcher(e.getMessage()).matches());
+ | assert(expectedFailure.matcher(e.getMessage()).matches());
+ | }
+ | }
+ |}
+ """.stripMargin)
+ // scalastyle:on line.size.limit
+ val sparkJar =
"../assembly/target/scala-2.10/spark-assembly-1.5.1-hadoop2.2.0.jar"
--- End diff --
Why do you need to compile using Spark? Can't you just create your own
exception, compile it, pass that to Spark Submit. Then move all of the code
here down to something like `SimpleApplicationTest`, where you create your
exception through reflection and then throw it?
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