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Udit Mehrotra commented on SPARK-29767:
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The issue has been open for quite sometime. Can someone
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Udit Mehrotra commented on SPARK-29767:
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[~hyukjin.kwon] Can you take a look at it ? There has
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Udit Mehrotra edited comment on SPARK-29767 at 11/7/19 3:41 AM:
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Udit Mehrotra updated SPARK-29767:
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Attachment: coredump.zip
> Core dump happening on executors while doing simple union of Data
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Udit Mehrotra commented on SPARK-29767:
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[~hyukjin.kwon] was finally able to get the core dump of
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Udit Mehrotra updated SPARK-29767:
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Attachment: hs_err_pid13885.log
> Core dump happening on executors while doing simple union
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Udit Mehrotra commented on SPARK-29767:
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[~hyukjin.kwon] As I have mentioned in the description
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Udit Mehrotra updated SPARK-29767:
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Description:
Running a union operation on two DataFrames through both Scala Spark Shell and
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Udit Mehrotra updated SPARK-29767:
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Description:
Running a union operation on two DataFrames through both Scala Spark Shell and
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Udit Mehrotra updated SPARK-29767:
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Description:
Running a union operation on two DataFrames through both Scala Spark Shell and
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Udit Mehrotra updated SPARK-29767:
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Description:
Running a union operation on two DataFrames through both Scala Spark Shell and
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Udit Mehrotra updated SPARK-29767:
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Description:
Running a union operation on two DataFrames through both Scala Spark Shell and
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Udit Mehrotra updated SPARK-29767:
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Description:
Running a union operation on two DataFrames through both Scala Spark Shell and
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Udit Mehrotra updated SPARK-29767:
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Description:
Running a union operation on two DataFrames through both Scala Spark Shell and
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Udit Mehrotra updated SPARK-29767:
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Description:
Running a union operation on two DataFrames through both Scala Spark Shell and
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Udit Mehrotra updated SPARK-29767:
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Attachment:
part-0-0189b5c2-7f7b-4d0e-bdb8-506380253597-c000.snappy.parquet
> Core dump
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Udit Mehrotra updated SPARK-29767:
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Description:
Running a union operation on two DataFrames through both Scala Spark Shell and
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Udit Mehrotra updated SPARK-29767:
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Description:
Running a union operation on two DataFrames through both Scala Spark Shell and
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Udit Mehrotra updated SPARK-29767:
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Description:
Running a union operation on two DataFrames through both Scala Spark Shell and
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Udit Mehrotra updated SPARK-29767:
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Description:
Running a union operation on two DataFrames through both Scala Spark Shell and
Udit Mehrotra created SPARK-29767:
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Summary: Core dump happening on executors while doing simple union
of Data Frames
Key: SPARK-29767
URL: https://issues.apache.org/jira/browse/SPARK-29767
Project:
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https://issues.apache.org/jira/browse/SPARK-21494?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Udit Mehrotra updated SPARK-21494:
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Attachment: logs.zip
> Spark 2.2.0 AES encryption not working with External shuffle
>
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Udit Mehrotra updated SPARK-21494:
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Description:
Spark’s new AES based authentication mechanism does not seem to work when
Udit Mehrotra created SPARK-21494:
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Summary: Spark 2.2.0 AES encryption not working with External
shuffle
Key: SPARK-21494
URL: https://issues.apache.org/jira/browse/SPARK-21494
Project: Spark
Udit Mehrotra created SPARK-20515:
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Summary: Issue with reading Hive ORC tables having char/varchar
columns in Spark SQL
Key: SPARK-20515
URL: https://issues.apache.org/jira/browse/SPARK-20515
Udit Mehrotra created SPARK-20115:
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Summary: Fix DAGScheduler to recompute all the lost shuffle blocks
when external shuffle service is unavailable
Key: SPARK-20115
URL:
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Udit Mehrotra updated SPARK-18756:
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Description:
We have a Spark streaming application, that processes data from Kinesis.
In our
Udit Mehrotra created SPARK-18756:
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Summary: Memory leak in Spark streaming
Key: SPARK-18756
URL: https://issues.apache.org/jira/browse/SPARK-18756
Project: Spark
Issue Type: Bug
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Udit Mehrotra commented on SPARK-17380:
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The above leak was seen with Spark 2.0 running on EMR. I
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Udit Mehrotra commented on SPARK-17380:
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We came across this Memory Leak in the executor logs, by
Udit Mehrotra created SPARK-17512:
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Summary: Specifying remote files for Python based Spark jobs in
Yarn cluster mode not working
Key: SPARK-17512
URL: https://issues.apache.org/jira/browse/SPARK-17512
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