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koert kuipers commented on SPARK-45282:
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it does look like same issue
and partitioning being the
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koert kuipers commented on SPARK-45282:
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last time i checked this issue was still present in
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koert kuipers edited comment on SPARK-45282 at 9/28/23 4:07 AM:
yes i
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koert kuipers edited comment on SPARK-45282 at 9/28/23 4:06 AM:
yes i
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koert kuipers commented on SPARK-45282:
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yes i can reproduce it.
master branch on commit:
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koert kuipers edited comment on SPARK-45282 at 9/22/23 7:04 PM:
after
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koert kuipers updated SPARK-45282:
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Description:
we observed this issue on spark 3.4.1 but it is also present on 3.5.0. it is
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koert kuipers updated SPARK-45282:
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Description:
we observed this issue on spark 3.4.1 but it is also present on 3.5.0. it is
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koert kuipers commented on SPARK-45282:
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after reverting SPARK-41048 the issue went away. so i
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koert kuipers updated SPARK-45282:
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Description:
we observed this issue on spark 3.4.1 but it is also present on 3.5.0. it is
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https://issues.apache.org/jira/browse/SPARK-45282?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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koert kuipers updated SPARK-45282:
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Description:
we observed this issue on spark 3.4.1 but it is also present on 3.5.0. it is
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https://issues.apache.org/jira/browse/SPARK-45282?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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koert kuipers updated SPARK-45282:
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Description:
we observed this issue on spark 3.4.1 but it is also present on 3.5.0. it is
koert kuipers created SPARK-45282:
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Summary: Join loses records for cached datasets
Key: SPARK-45282
URL: https://issues.apache.org/jira/browse/SPARK-45282
Project: Spark
Issue Type: Bug
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koert kuipers commented on SPARK-44323:
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not sure why pullreq isnt getting linked automatically
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koert kuipers edited comment on SPARK-37829 at 7/8/23 4:19 PM:
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since this
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koert kuipers commented on SPARK-44323:
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i think the issue is that Nones inside Tuples now become
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koert kuipers edited comment on SPARK-44323 at 7/6/23 6:28 PM:
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i think
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koert kuipers edited comment on SPARK-37829 at 7/6/23 5:32 PM:
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since this
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koert kuipers edited comment on SPARK-37829 at 7/6/23 5:23 PM:
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since this
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koert kuipers commented on SPARK-37829:
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since this behavior of returning a Row with null values
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koert kuipers updated SPARK-44323:
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Description:
when doing an upgrade from spark 3.3.1 to spark 3.4.1 we suddenly started
koert kuipers created SPARK-44323:
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Summary: Scala None shows up as null for Aggregator BUF or OUT
Key: SPARK-44323
URL: https://issues.apache.org/jira/browse/SPARK-44323
Project: Spark
koert kuipers created SPARK-39770:
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Summary: Support Avro schema evolution
Key: SPARK-39770
URL: https://issues.apache.org/jira/browse/SPARK-39770
Project: Spark
Issue Type: Improvement
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koert kuipers edited comment on SPARK-31726 at 1/23/22, 11:22 PM:
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koert kuipers commented on SPARK-31726:
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[~beregon87] about --jars, are you seeing that the jars
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koert kuipers commented on SPARK-31726:
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https://issues.apache.org/jira/browse/SPARK-37476?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17452118#comment-17452118
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koert kuipers commented on SPARK-37476:
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note that changing my case class to:
{code:java}
case
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koert kuipers edited comment on SPARK-37476 at 12/2/21, 12:58 AM:
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i
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koert kuipers commented on SPARK-37476:
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i get that scala Double cannot be null. however i dont
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koert kuipers commented on SPARK-37476:
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yes it works well
{code:java}
import
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koert kuipers edited comment on SPARK-37476 at 12/1/21, 4:57 PM:
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yes it
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koert kuipers updated SPARK-37476:
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Description:
i have a need to have a dataframe aggregation return a nullable case class.
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koert kuipers updated SPARK-37476:
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Description:
i have a need to have a dataframe aggregation return a nullable case class.
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koert kuipers updated SPARK-37476:
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Description:
i have a need to have a dataframe aggregation return a nullable case class.
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koert kuipers updated SPARK-37476:
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Description:
i have a need to have a dataframe aggregation return a nullable case class.
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koert kuipers updated SPARK-37476:
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Description:
i have a need to have a dataframe aggregation return a nullable case class.
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koert kuipers updated SPARK-37476:
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Summary: udaf doesnt work with nullable (or option of) case class result
(was: udaf doesnt
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koert kuipers updated SPARK-37476:
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Description:
i have a need to have a dataframe aggregation return a nullable case class.
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https://issues.apache.org/jira/browse/SPARK-37476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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koert kuipers updated SPARK-37476:
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Description:
i have a need to have a dataframe aggregation return a nullable case class.
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https://issues.apache.org/jira/browse/SPARK-37476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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koert kuipers updated SPARK-37476:
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Description:
i have a need to have a dataframe aggregation return a nullable case class.
koert kuipers created SPARK-37476:
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Summary: udaf doesnt work with nullable case class result
Key: SPARK-37476
URL: https://issues.apache.org/jira/browse/SPARK-37476
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-36681?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17430303#comment-17430303
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koert kuipers commented on SPARK-36681:
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hadoop Jira issue:
koert kuipers created SPARK-36210:
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Summary: Preserve column insertion order in Dataset.withColumns
Key: SPARK-36210
URL: https://issues.apache.org/jira/browse/SPARK-36210
Project: Spark
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koert kuipers commented on SPARK-35079:
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looks to me like this is a duplicate of SPARK-34829
>
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koert kuipers updated SPARK-35079:
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Description:
i think this is a correctness bug in spark 3.1.1
the behavior is correct in
koert kuipers created SPARK-35079:
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Summary: Transform with udf gives incorrect result
Key: SPARK-35079
URL: https://issues.apache.org/jira/browse/SPARK-35079
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-13860?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17320450#comment-17320450
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koert kuipers edited comment on SPARK-13860 at 4/13/21, 6:38 PM:
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this
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koert kuipers edited comment on SPARK-13860 at 4/13/21, 6:33 PM:
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this
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koert kuipers commented on SPARK-13860:
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this is what i now see:
{code:java}
scala> Seq(1.0,
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koert kuipers commented on SPARK-32109:
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the issue is that Row here isnt really a sequence. it
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koert kuipers edited comment on SPARK-32109 at 6/28/20, 2:58 PM:
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the
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koert kuipers updated SPARK-32109:
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Description:
this ticket is about org.apache.spark.sql.functions.hash and sparks handling of
koert kuipers created SPARK-32109:
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Summary: SQL hash function handling of nulls makes collision too
likely
Key: SPARK-32109
URL: https://issues.apache.org/jira/browse/SPARK-32109
Project: Spark
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koert kuipers updated SPARK-32056:
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Priority: Minor (was: Major)
> Repartition by key should support partition coalesce for AQE
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koert kuipers updated SPARK-32056:
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Description:
when adaptive query execution is enabled the following expression should
koert kuipers created SPARK-32056:
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Summary: Repartition by key should support partition coalesce for
AQE
Key: SPARK-32056
URL: https://issues.apache.org/jira/browse/SPARK-32056
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-31841?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17118120#comment-17118120
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koert kuipers commented on SPARK-31841:
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that is right. its a feature request i believe (unless i
koert kuipers created SPARK-31841:
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Summary: Dataset.repartition leverage adaptive execution
Key: SPARK-31841
URL: https://issues.apache.org/jira/browse/SPARK-31841
Project: Spark
Issue
koert kuipers created SPARK-31726:
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Summary: Make spark.files available in driver with cluster deploy
mode on kubernetes
Key: SPARK-31726
URL: https://issues.apache.org/jira/browse/SPARK-31726
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koert kuipers updated SPARK-29302:
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Affects Version/s: (was: 3.0.0)
> dynamic partition overwrite with speculation enabled
>
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koert kuipers updated SPARK-29302:
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Affects Version/s: 3.0.0
> dynamic partition overwrite with speculation enabled
>
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koert kuipers commented on SPARK-30320:
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i believe we are seeing this issue. it shows up in
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koert kuipers edited comment on SPARK-30320 at 3/26/20, 8:11 PM:
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i
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koert kuipers edited comment on SPARK-29302 at 3/26/20, 7:23 PM:
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i
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koert kuipers commented on SPARK-29302:
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i believe we are seeing this issue. it shows up in
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koert kuipers edited comment on SPARK-29302 at 3/26/20, 7:16 PM:
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i
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koert kuipers edited comment on SPARK-31183 at 3/22/20, 2:03 PM:
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hi!
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koert kuipers commented on SPARK-31183:
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hi!
all spark tests pass for me except hive and avro.
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koert kuipers updated SPARK-29906:
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Priority: Minor (was: Major)
> Reading of csv file fails with adaptive execution turned on
>
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koert kuipers updated SPARK-29906:
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Labels: correctness (was: )
> Reading of csv file fails with adaptive execution turned on
>
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koert kuipers commented on SPARK-29906:
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note that with the default option for csv being
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koert kuipers commented on SPARK-29906:
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i added a bit of debug logging:
{code:java}
$ git diff
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koert kuipers updated SPARK-29906:
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Description:
we observed an issue where spark seems to confuse a data line (not the first
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koert kuipers updated SPARK-29906:
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Description:
we observed an issue where spark seems to confuse a data line (not the first
koert kuipers created SPARK-29906:
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Summary: Reading of csv file fails with adaptive execution turned
on
Key: SPARK-29906
URL: https://issues.apache.org/jira/browse/SPARK-29906
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-28945?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16973715#comment-16973715
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koert kuipers commented on SPARK-28945:
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i understand there is a great deal of complexity in the
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koert kuipers edited comment on SPARK-29435 at 10/12/19 11:50 PM:
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i
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koert kuipers commented on SPARK-29435:
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i checked and it works with dynamic execution using spark
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koert kuipers edited comment on SPARK-29435 at 10/11/19 3:20 AM:
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koert kuipers commented on SPARK-29435:
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actually, it doesnt matter if i use spark 2 or spark 3
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koert kuipers commented on SPARK-29435:
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[~vanzin] sorry i should have been more clear, i did set
koert kuipers created SPARK-29435:
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Summary: Spark 3 doesnt work with older shuffle service
Key: SPARK-29435
URL: https://issues.apache.org/jira/browse/SPARK-29435
Project: Spark
Issue Type:
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koert kuipers commented on SPARK-27665:
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i tried using spark.shuffle.useOldFetchProtocol=true
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koert kuipers commented on SPARK-27665:
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oh wait i didnt realize there is a setting
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koert kuipers commented on SPARK-27665:
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i am a little nervous that this got merged into master
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koert kuipers commented on SPARK-29027:
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[~gsomogyi] if you email me at koert at tresata dot com i
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koert kuipers commented on SPARK-29027:
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just for this one test debug logs is 62mb of kerberos and
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koert kuipers commented on SPARK-29027:
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[~gsomogyi] i can email you debug log file directly if
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koert kuipers commented on SPARK-29027:
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i get same error in sbt i think, plus i find sbt a lot
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koert kuipers commented on SPARK-29027:
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i renamed /etc/krb5.conf and it did not change anything.
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koert kuipers commented on SPARK-29027:
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let me try to get debug logs
> KafkaDelegationTokenSuite
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koert kuipers commented on SPARK-29027:
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[~gsomogyi] do you use any services that require open
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koert kuipers edited comment on SPARK-29027 at 9/10/19 2:53 PM:
i tried
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koert kuipers commented on SPARK-29027:
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i tried doing tests in a virtual machine and they pass
so
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koert kuipers commented on SPARK-29027:
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i am going to try running tests on a virtual machine to
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koert kuipers edited comment on SPARK-29027 at 9/10/19 1:02 PM:
i am
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koert kuipers commented on SPARK-29027:
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i am running test on my work laptop. it has kerberos
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koert kuipers commented on SPARK-29027:
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hey the command i run is:
mvn clean test -fae
i am not
koert kuipers created SPARK-29027:
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Summary: KafkaDelegationTokenSuite fails
Key: SPARK-29027
URL: https://issues.apache.org/jira/browse/SPARK-29027
Project: Spark
Issue Type: Bug
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koert kuipers updated SPARK-28945:
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Summary: Allow concurrent writes to different partitions with dynamic
partition overwrite
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