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Posted to issues@spark.apache.org by "Yin Huai (JIRA)" <ji...@apache.org> on 2015/02/13 00:10:11 UTC
[jira] [Created] (SPARK-5789) Throw a better error message if
JsonRDD.parseJson encounters unrecoverable parsing errors.
Yin Huai created SPARK-5789:
-------------------------------
Summary: Throw a better error message if JsonRDD.parseJson encounters unrecoverable parsing errors.
Key: SPARK-5789
URL: https://issues.apache.org/jira/browse/SPARK-5789
Project: Spark
Issue Type: Improvement
Components: SQL
Reporter: Yin Huai
For example
{code}
sqlContext.jsonRDD(sc.parallelize(""""a":1}"""::Nil))
{code}
will throw
{code}
scala.MatchError: a (of class java.lang.String)
at org.apache.spark.sql.json.JsonRDD$$anonfun$parseJson$1$$anonfun$apply$2.apply(JsonRDD.scala:302)
at org.apache.spark.sql.json.JsonRDD$$anonfun$parseJson$1$$anonfun$apply$2.apply(JsonRDD.scala:300)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at org.apache.spark.rdd.RDD$$anonfun$19.apply(RDD.scala:879)
at org.apache.spark.rdd.RDD$$anonfun$19.apply(RDD.scala:878)
at org.apache.spark.SparkContext$$anonfun$30.apply(SparkContext.scala:1516)
at org.apache.spark.SparkContext$$anonfun$30.apply(SparkContext.scala:1516)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:197)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
15/02/12 15:08:55 INFO scheduler.TaskSetManager: Finished task 0.0 in stage 4.0 (TID 26) in 10 ms on localhost (7/8)
15/02/12 15:08:55 WARN scheduler.TaskSetManager: Lost task 7.0 in stage 4.0 (TID 33, localhost): scala.MatchError: a (of class java.lang.String)
at org.apache.spark.sql.json.JsonRDD$$anonfun$parseJson$1$$anonfun$apply$2.apply(JsonRDD.scala:302)
at org.apache.spark.sql.json.JsonRDD$$anonfun$parseJson$1$$anonfun$apply$2.apply(JsonRDD.scala:300)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at org.apache.spark.rdd.RDD$$anonfun$19.apply(RDD.scala:879)
at org.apache.spark.rdd.RDD$$anonfun$19.apply(RDD.scala:878)
at org.apache.spark.SparkContext$$anonfun$30.apply(SparkContext.scala:1516)
at org.apache.spark.SparkContext$$anonfun$30.apply(SparkContext.scala:1516)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:197)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
{code}
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