[jira] [Commented] (SPARK-7119) ScriptTransform doesn't consider the output data type
[
https://issues.apache.org/jira/browse/SPARK-7119?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14652892#comment-14652892
]
Cheng Hao commented on SPARK-7119:
--
[~marmbrus] This is actually a bug fixing, and it blocks the bigbench testing
for quite a long time, since the code is ready (to be reviewed), can we add it
back to the 1.5 target list?
> ScriptTransform doesn't consider the output data type
> -
>
> Key: SPARK-7119
> URL: https://issues.apache.org/jira/browse/SPARK-7119
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.3.0, 1.3.1, 1.4.0
>Reporter: Cheng Hao
>Priority: Critical
>
> {code:sql}
> from (from src select transform(key, value) using 'cat' as (thing1 int,
> thing2 string)) t select thing1 + 2;
> {code}
> {noformat}
> 15/04/24 00:58:55 ERROR CliDriver: org.apache.spark.SparkException: Job
> aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent
> failure: Lost task 0.0 in stage 0.0 (TID 0, localhost):
> java.lang.ClassCastException: org.apache.spark.sql.types.UTF8String cannot be
> cast to java.lang.Integer
> at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:106)
> at scala.math.Numeric$IntIsIntegral$.plus(Numeric.scala:57)
> at
> org.apache.spark.sql.catalyst.expressions.Add.eval(arithmetic.scala:127)
> at
> org.apache.spark.sql.catalyst.expressions.Alias.eval(namedExpressions.scala:118)
> at
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:68)
> at
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:52)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> at scala.collection.AbstractIterator.to(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:819)
> at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:819)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> at org.apache.spark.scheduler.Task.run(Task.scala:64)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:209)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
> at java.lang.Thread.run(Thread.java:722)
> {noformat}
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[jira] [Commented] (SPARK-7119) ScriptTransform doesn't consider the output data type
[
https://issues.apache.org/jira/browse/SPARK-7119?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14619672#comment-14619672
]
Yi Zhou commented on SPARK-7119:
The issue blocked Spark SQL query relative to scriptTransform so hopefully it
can be fixed in 1.5.0
> ScriptTransform doesn't consider the output data type
> -
>
> Key: SPARK-7119
> URL: https://issues.apache.org/jira/browse/SPARK-7119
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.3.0, 1.3.1, 1.4.0
>Reporter: Cheng Hao
>
> {code:sql}
> from (from src select transform(key, value) using 'cat' as (thing1 int,
> thing2 string)) t select thing1 + 2;
> {code}
> {noformat}
> 15/04/24 00:58:55 ERROR CliDriver: org.apache.spark.SparkException: Job
> aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent
> failure: Lost task 0.0 in stage 0.0 (TID 0, localhost):
> java.lang.ClassCastException: org.apache.spark.sql.types.UTF8String cannot be
> cast to java.lang.Integer
> at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:106)
> at scala.math.Numeric$IntIsIntegral$.plus(Numeric.scala:57)
> at
> org.apache.spark.sql.catalyst.expressions.Add.eval(arithmetic.scala:127)
> at
> org.apache.spark.sql.catalyst.expressions.Alias.eval(namedExpressions.scala:118)
> at
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:68)
> at
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:52)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> at scala.collection.AbstractIterator.to(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:819)
> at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:819)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> at org.apache.spark.scheduler.Task.run(Task.scala:64)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:209)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
> at java.lang.Thread.run(Thread.java:722)
> {noformat}
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[jira] [Commented] (SPARK-7119) ScriptTransform doesn't consider the output data type
[
https://issues.apache.org/jira/browse/SPARK-7119?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14573889#comment-14573889
]
zhichao-li commented on SPARK-7119:
---
This workaround query can be executed correctly and there's a simple fix for
this issue by the way :)
> ScriptTransform doesn't consider the output data type
> -
>
> Key: SPARK-7119
> URL: https://issues.apache.org/jira/browse/SPARK-7119
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.3.0, 1.3.1, 1.4.0
>Reporter: Cheng Hao
>
> {code:sql}
> from (from src select transform(key, value) using 'cat' as (thing1 int,
> thing2 string)) t select thing1 + 2;
> {code}
> {noformat}
> 15/04/24 00:58:55 ERROR CliDriver: org.apache.spark.SparkException: Job
> aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent
> failure: Lost task 0.0 in stage 0.0 (TID 0, localhost):
> java.lang.ClassCastException: org.apache.spark.sql.types.UTF8String cannot be
> cast to java.lang.Integer
> at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:106)
> at scala.math.Numeric$IntIsIntegral$.plus(Numeric.scala:57)
> at
> org.apache.spark.sql.catalyst.expressions.Add.eval(arithmetic.scala:127)
> at
> org.apache.spark.sql.catalyst.expressions.Alias.eval(namedExpressions.scala:118)
> at
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:68)
> at
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:52)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> at scala.collection.AbstractIterator.to(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:819)
> at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:819)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> at org.apache.spark.scheduler.Task.run(Task.scala:64)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:209)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
> at java.lang.Thread.run(Thread.java:722)
> {noformat}
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[jira] [Commented] (SPARK-7119) ScriptTransform doesn't consider the output data type
[
https://issues.apache.org/jira/browse/SPARK-7119?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14573888#comment-14573888
]
zhichao-li commented on SPARK-7119:
---
This workaround query can be executed correctly and there's a simple fix for
this issue by the way :)
> ScriptTransform doesn't consider the output data type
> -
>
> Key: SPARK-7119
> URL: https://issues.apache.org/jira/browse/SPARK-7119
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.3.0, 1.3.1, 1.4.0
>Reporter: Cheng Hao
>
> {code:sql}
> from (from src select transform(key, value) using 'cat' as (thing1 int,
> thing2 string)) t select thing1 + 2;
> {code}
> {noformat}
> 15/04/24 00:58:55 ERROR CliDriver: org.apache.spark.SparkException: Job
> aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent
> failure: Lost task 0.0 in stage 0.0 (TID 0, localhost):
> java.lang.ClassCastException: org.apache.spark.sql.types.UTF8String cannot be
> cast to java.lang.Integer
> at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:106)
> at scala.math.Numeric$IntIsIntegral$.plus(Numeric.scala:57)
> at
> org.apache.spark.sql.catalyst.expressions.Add.eval(arithmetic.scala:127)
> at
> org.apache.spark.sql.catalyst.expressions.Alias.eval(namedExpressions.scala:118)
> at
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:68)
> at
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:52)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> at scala.collection.AbstractIterator.to(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:819)
> at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:819)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> at org.apache.spark.scheduler.Task.run(Task.scala:64)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:209)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
> at java.lang.Thread.run(Thread.java:722)
> {noformat}
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[jira] [Commented] (SPARK-7119) ScriptTransform doesn't consider the output data type
[
https://issues.apache.org/jira/browse/SPARK-7119?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14572368#comment-14572368
]
Apache Spark commented on SPARK-7119:
-
User 'zhichao-li' has created a pull request for this issue:
https://github.com/apache/spark/pull/6638
> ScriptTransform doesn't consider the output data type
> -
>
> Key: SPARK-7119
> URL: https://issues.apache.org/jira/browse/SPARK-7119
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.3.0, 1.3.1, 1.4.0
>Reporter: Cheng Hao
>
> {code:sql}
> from (from src select transform(key, value) using 'cat' as (thing1 int,
> thing2 string)) t select thing1 + 2;
> {code}
> {noformat}
> 15/04/24 00:58:55 ERROR CliDriver: org.apache.spark.SparkException: Job
> aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent
> failure: Lost task 0.0 in stage 0.0 (TID 0, localhost):
> java.lang.ClassCastException: org.apache.spark.sql.types.UTF8String cannot be
> cast to java.lang.Integer
> at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:106)
> at scala.math.Numeric$IntIsIntegral$.plus(Numeric.scala:57)
> at
> org.apache.spark.sql.catalyst.expressions.Add.eval(arithmetic.scala:127)
> at
> org.apache.spark.sql.catalyst.expressions.Alias.eval(namedExpressions.scala:118)
> at
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:68)
> at
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:52)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> at scala.collection.AbstractIterator.to(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:819)
> at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:819)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> at org.apache.spark.scheduler.Task.run(Task.scala:64)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:209)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
> at java.lang.Thread.run(Thread.java:722)
> {noformat}
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[jira] [Commented] (SPARK-7119) ScriptTransform doesn't consider the output data type
[
https://issues.apache.org/jira/browse/SPARK-7119?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14562938#comment-14562938
]
Yin Huai commented on SPARK-7119:
-
[~chenghao]
Can you try?
{{from (from src select transform(key, value) using 'cat' as (thing1 string,
thing2 string)) t select cast(thing1 as int) + 2;}}
> ScriptTransform doesn't consider the output data type
> -
>
> Key: SPARK-7119
> URL: https://issues.apache.org/jira/browse/SPARK-7119
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.3.0, 1.3.1, 1.4.0
>Reporter: Cheng Hao
>
> {code:sql}
> from (from src select transform(key, value) using 'cat' as (thing1 int,
> thing2 string)) t select thing1 + 2;
> {code}
> {noformat}
> 15/04/24 00:58:55 ERROR CliDriver: org.apache.spark.SparkException: Job
> aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent
> failure: Lost task 0.0 in stage 0.0 (TID 0, localhost):
> java.lang.ClassCastException: org.apache.spark.sql.types.UTF8String cannot be
> cast to java.lang.Integer
> at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:106)
> at scala.math.Numeric$IntIsIntegral$.plus(Numeric.scala:57)
> at
> org.apache.spark.sql.catalyst.expressions.Add.eval(arithmetic.scala:127)
> at
> org.apache.spark.sql.catalyst.expressions.Alias.eval(namedExpressions.scala:118)
> at
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:68)
> at
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:52)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> at scala.collection.AbstractIterator.to(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:819)
> at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:819)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> at org.apache.spark.scheduler.Task.run(Task.scala:64)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:209)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
> at java.lang.Thread.run(Thread.java:722)
> {noformat}
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[jira] [Commented] (SPARK-7119) ScriptTransform doesn't consider the output data type
[
https://issues.apache.org/jira/browse/SPARK-7119?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14510940#comment-14510940
]
Apache Spark commented on SPARK-7119:
-
User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/5688
> ScriptTransform doesn't consider the output data type
> -
>
> Key: SPARK-7119
> URL: https://issues.apache.org/jira/browse/SPARK-7119
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.3.0, 1.3.1, 1.4.0
>Reporter: Cheng Hao
>Priority: Blocker
>
> {panel}
> from (from src select transform(key, value) using 'cat' as (thing1 int,
> thing2 string)) t select thing1 + 2;
> {panel}
> {panel}
> 15/04/24 00:58:55 ERROR CliDriver: org.apache.spark.SparkException: Job
> aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent
> failure: Lost task 0.0 in stage 0.0 (TID 0, localhost):
> java.lang.ClassCastException: org.apache.spark.sql.types.UTF8String cannot be
> cast to java.lang.Integer
> at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:106)
> at scala.math.Numeric$IntIsIntegral$.plus(Numeric.scala:57)
> at
> org.apache.spark.sql.catalyst.expressions.Add.eval(arithmetic.scala:127)
> at
> org.apache.spark.sql.catalyst.expressions.Alias.eval(namedExpressions.scala:118)
> at
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:68)
> at
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:52)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> at scala.collection.AbstractIterator.to(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:819)
> at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:819)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> at org.apache.spark.scheduler.Task.run(Task.scala:64)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:209)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
> at java.lang.Thread.run(Thread.java:722)
> {panel}
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