[
https://issues.apache.org/jira/browse/SPARK-35667?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
yuanxm updated SPARK-35667:
---------------------------
Environment: (was: {code:java}
./bin/spark-sql --master yarn \
--conf spark.speculation=true \
--conf spark.shuffle.service.enabled=true \
--conf spark.dynamicAllocation.enabled=true \
--conf spark.dynamicAllocation.executorIdleTimeout=5s \
--conf spark.dynamicAllocation.initialExecutor=1 \
--conf spark.dynamicAllocation.maxExecutors=40
{code}
)
> spark.speculation causes incorrect query results with TRANSFORM
> ---------------------------------------------------------------
>
> Key: SPARK-35667
> URL: https://issues.apache.org/jira/browse/SPARK-35667
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.8
> Reporter: yuanxm
> Priority: Major
>
> SQL as follow gets incorrect results sometimes when spark.speculation is
> true:
> {code:java}
> SELECT count(1)
> FROM
> (SELECT TRANSFORM(tmpa1.*) USING "python test.py" AS (dt)
> FROM
> (SELECT dt
> FROM test_table)tmpa1)tmpa2{code}
> With spark.speculation=true, the result of count is less than the correct
> one. It's more likely to get incorrect answer when there is more speculative
> tasks.
> `test.py`:
> {code:java}
> import sys
> for line in sys.stdin:
> line = line.strip()
> arr = line.split()
> print "\t".join(arr){code}
>
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