Like this?
val krdd = testrdd.map(x => { try{ var key = ""
val tmp_tocks = x.split(sep1)(0) (key,
x) }catch{ case e: Exception =>
println("Exception!! => " + e + "|||KS1 " + x) (null, x)
} })
Thanks
Best Regards
On Thu, Mar 26, 2015 at 7:45 PM, Kevin Conaway <ke...@zoomdata.com> wrote:
> How can we catch exceptions that are thrown from custom RDDs or custom map
> functions?
>
> We have a custom RDD that is throwing an exception that we would like to
> catch but the exception that is thrown back to the caller is a
> *org.apache.spark.SparkException* that does not contain any useful
> information about the original exception. The detail message is a string
> representation of the original stack trace but its hard to do anything
> useful with that.
>
> Below is a small class that exhibits the issue. It uses a map function
> instead of a custom RDD but the symptom is the same, the original
> *RuntimeException* is lost. I tested this with spark 1.2.1 and 1.3.0
>
>
> public class SparkErrorExample {
>
> public static void main(String [] args) throws Exception {
> SparkConf sparkConf = new
> SparkConf().setAppName("SparkExample").setMaster("local[*]");
> JavaSparkContext ctx = new JavaSparkContext(sparkConf);
>
> JavaRDD<String> data = ctx.parallelize(Arrays.asList("1", "2",
> "3"));
>
> try {
> data.map(line -> {
> throw new RuntimeException();
> }).count();
> } catch (Exception ex) {
> System.out.println("Exception class: " + ex.getClass());
> System.out.println("Exception message: " + ex.getMessage());
> System.out.println("Exception cause: "+ ex.getCause());
> }
> }
> }
>
>
