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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2020/07/29 07:41:00 UTC
[jira] [Updated] (SPARK-32478) Error message to show the schema
mismatch in gapply with Arrow vectorization
[ https://issues.apache.org/jira/browse/SPARK-32478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-32478:
---------------------------------
Description:
Currently, the error message is confusing when the output schema type is not matched with the actual R DataFrame in gapply:
{code}
./bin/sparkR --conf spark.sql.execution.arrow.sparkr.enabled=true
{code}
{code}
df <- createDataFrame(list(list(a=1L, b="2")))
count(gapply(df, "a", function(key, group) { group }, structType("a int, b int")))
{code}
{code}
org.apache.spark.SparkException: Job aborted due to stage failure: Task 43 in stage 2.0 failed 1 times, most recent failure: Lost task 43.0 in stage 2.0 (TID 2, 192.168.35.193, executor driver): java.lang.UnsupportedOperationException
at org.apache.spark.sql.vectorized.ArrowColumnVector$ArrowVectorAccessor.getInt(ArrowColumnVector.java:212)
...
{code}
We should probably also document that the type should be matched always.
was:
Currently, the error message is confusing when the output schema type is not matched with the actual R DataFrame in gapply:
{code}
df <- createDataFrame(list(list(a=1L, b="2")))
count(gapply(df, "a", function(key, group) { group }, structType("a int, b int")))
{code}
{code}
org.apache.spark.SparkException: Job aborted due to stage failure: Task 43 in stage 2.0 failed 1 times, most recent failure: Lost task 43.0 in stage 2.0 (TID 2, 192.168.35.193, executor driver): java.lang.UnsupportedOperationException
at org.apache.spark.sql.vectorized.ArrowColumnVector$ArrowVectorAccessor.getInt(ArrowColumnVector.java:212)
...
{code}
We should probably also document that the type should be matched always.
> Error message to show the schema mismatch in gapply with Arrow vectorization
> ----------------------------------------------------------------------------
>
> Key: SPARK-32478
> URL: https://issues.apache.org/jira/browse/SPARK-32478
> Project: Spark
> Issue Type: Improvement
> Components: SparkR
> Affects Versions: 3.0.0
> Reporter: Hyukjin Kwon
> Priority: Major
>
> Currently, the error message is confusing when the output schema type is not matched with the actual R DataFrame in gapply:
> {code}
> ./bin/sparkR --conf spark.sql.execution.arrow.sparkr.enabled=true
> {code}
> {code}
> df <- createDataFrame(list(list(a=1L, b="2")))
> count(gapply(df, "a", function(key, group) { group }, structType("a int, b int")))
> {code}
> {code}
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 43 in stage 2.0 failed 1 times, most recent failure: Lost task 43.0 in stage 2.0 (TID 2, 192.168.35.193, executor driver): java.lang.UnsupportedOperationException
> at org.apache.spark.sql.vectorized.ArrowColumnVector$ArrowVectorAccessor.getInt(ArrowColumnVector.java:212)
> ...
> {code}
> We should probably also document that the type should be matched always.
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