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Josh Rosen edited comment on SPARK-27570 at 7/18/19 12:28 AM:
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Josh Rosen updated SPARK-28430:
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Attachment: ui-screenshot.png
> Some stage table rows render wrong number of columns if tasks are
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Josh Rosen reassigned SPARK-28430:
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Assignee: Josh Rosen
> Some stage table rows render wrong number of columns if tasks are
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Josh Rosen updated SPARK-28430:
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Description:
The Spark UI's stages table renders too few columns for some tasks if a subset
of the
Josh Rosen created SPARK-28430:
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Summary: Some stage table rows render wrong number of columns if
tasks are missing metrics
Key: SPARK-28430
URL: https://issues.apache.org/jira/browse/SPARK-28430
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Josh Rosen commented on SPARK-27570:
[~ste...@apache.org], I finally got a chance to test your
Josh Rosen created SPARK-28427:
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Summary: Support more Postgres JSON functions
Key: SPARK-28427
URL: https://issues.apache.org/jira/browse/SPARK-28427
Project: Spark
Issue Type: Sub-task
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Josh Rosen updated SPARK-26021:
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Labels: correctness (was: )
> -0.0 and 0.0 not treated consistently, doesn't match Hive
>
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Josh Rosen updated SPARK-26352:
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Labels: correctness (was: )
> join reordering should not change the order of output attributes
>
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Josh Rosen updated SPARK-26864:
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Labels: correctness (was: )
> Query may return incorrect result when python udf is used as a join
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Josh Rosen updated SPARK-27134:
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Labels: correctness (was: )
> array_distinct function does not work correctly with columns
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Josh Rosen edited comment on SPARK-27416 at 7/16/19 10:56 PM:
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I think that
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Josh Rosen commented on SPARK-27416:
I think that we should backport this for Spark 2.4.4 because
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Josh Rosen edited comment on SPARK-27406 at 7/16/19 10:51 PM:
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Adding the
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Josh Rosen updated SPARK-27406:
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Labels: correctness (was: )
Adding the 'correctness' label to this fixed issue because the related
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Josh Rosen updated SPARK-10914:
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Labels: correctness (was: )
> UnsafeRow serialization breaks when two machines have different Oops
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Josh Rosen updated SPARK-28049:
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Fix Version/s: (was: 2.4.4)
(was: 2.4.3)
> i want to a first ticket in
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Josh Rosen commented on SPARK-28340:
SPARK-23816 is a related issue about fetch failures caused by
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Josh Rosen commented on SPARK-28340:
Another variant of this issue, this time on the shuffle read
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Josh Rosen commented on SPARK-28375:
I'm not sure; is it possible to trigger double-optimization
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Josh Rosen updated SPARK-28375:
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Labels: correctness (was: )
Adding the 'correctness' label so we remember to backport this fix to
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Josh Rosen commented on SPARK-24079:
I'm marking SPARK-27915 (a newer ticket filed by me) as a
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Josh Rosen commented on SPARK-28304:
I'm linking SPARK-21317 as a related issue: that older ticket
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Josh Rosen resolved SPARK-24786.
Resolution: Duplicate
I'm resolving this PR because it's marked as a duplicate of SPARK-20286,
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Josh Rosen resolved SPARK-23992.
Resolution: Won't Fix
Per my comment on GitHub at
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Josh Rosen edited comment on SPARK-27991 at 7/11/19 12:28 AM:
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I've tried
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Josh Rosen commented on SPARK-27991:
I've tried to come up with a standalone reproduction of this
Josh Rosen created SPARK-28340:
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Summary: Noisy exceptions when tasks are killed:
"DiskBlockObjectWriter: Uncaught exception while reverting partial writes to
file: java.nio.channels.ClosedByInterruptException"
Key: SPARK-28340
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Josh Rosen edited comment on SPARK-27570 at 7/10/19 12:22 AM:
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I ran into a
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Josh Rosen commented on SPARK-25966:
Cross-post: there's discussion of a similar issue at
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Josh Rosen commented on SPARK-27570:
I ran into a very similar issue, except I was reading from S3
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Josh Rosen reopened SPARK-11309:
I'm re-opening this issue because this problem is still relevant.
There's some discussion of this
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Josh Rosen updated SPARK-28266:
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Labels: correctness (was: )
> data correctness issue: data duplication when `path` serde peroperty
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Josh Rosen commented on SPARK-28200:
MickJermsurawong and I have a patch for this, including tests
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Josh Rosen updated SPARK-28200:
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Summary: Decimal overflow handling in ExpressionEncoder (was: Overflow
handling in
Josh Rosen created SPARK-28176:
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Summary: Add Dataset.collect(PartialFunction) method for parity
with RDD API
Key: SPARK-28176
URL: https://issues.apache.org/jira/browse/SPARK-28176
Project: Spark
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Josh Rosen updated SPARK-28166:
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Description:
The *symmetric difference* (a.k.a. *disjunctive union*) of two sets is their
set
Josh Rosen created SPARK-28166:
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Summary: Query optimization for symmetric difference / disjunctive
union of Datasets
Key: SPARK-28166
URL: https://issues.apache.org/jira/browse/SPARK-28166
Project:
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Josh Rosen commented on SPARK-16474:
I just ran into this same issue.
The problem here is that
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Josh Rosen updated SPARK-26038:
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Fix Version/s: 2.4.4
> Decimal toScalaBigInt/toJavaBigInteger not work for decimals not fitting in
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Josh Rosen commented on SPARK-26038:
Backported for 2.4.4 in
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Josh Rosen commented on SPARK-28024:
I've linked two existing, related tickets:
* SPARK-26218 (fail
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Josh Rosen updated SPARK-28067:
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Labels: correctness (was: )
> Incorrect results in decimal aggregation with whole-stage code gen
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Josh Rosen updated SPARK-26038:
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Labels: correctness (was: )
We just independently rediscovered this bug. I'm adding the
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Josh Rosen edited comment on SPARK-26038 at 6/20/19 8:47 PM:
-
We just
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Josh Rosen resolved SPARK-28112.
Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 24916
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Josh Rosen commented on SPARK-26555:
Backported for 2.4.4 in
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Josh Rosen updated SPARK-26555:
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Fix Version/s: 2.4.4
> Thread safety issue causes createDataset to fail with misleading errors
>
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Josh Rosen resolved SPARK-28102.
Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 24905
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Josh Rosen resolved SPARK-27839.
Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 24707
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Josh Rosen updated SPARK-28102:
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Description:
Spark's use of {{lz4-java}} ends up calling {{LZ4Factory.fastestInstance}},
which
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Josh Rosen updated SPARK-28102:
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Summary: Failed LZ4 JNI initialization is repeatedly re-attempted, causing
lock contention issues
Josh Rosen created SPARK-28102:
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Summary: Add configuration for selecting LZ4 implementation (safe,
unsafe, JNI)
Key: SPARK-28102
URL: https://issues.apache.org/jira/browse/SPARK-28102
Project: Spark
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Josh Rosen updated SPARK-28007:
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Description:
The expression {{expr1 ^ expr2}} has different meanings in Spark and Postgres:
* [In
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Josh Rosen updated SPARK-28007:
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Summary: Caret operator (^) means bitwise XOR in Spark/Hive and
exponentiation in Postgres/Redshift
Josh Rosen created SPARK-28007:
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Summary: Caret operator (^) means bitwise XOR in Spark and
exponentiation in Postgres/Redshift
Key: SPARK-28007
URL: https://issues.apache.org/jira/browse/SPARK-28007
Josh Rosen created SPARK-27991:
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Summary: ShuffleBlockFetcherIterator should take Netty
constant-factor overheads into account when limiting number of simultaneous
block fetches
Key: SPARK-27991
URL:
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Josh Rosen commented on SPARK-27972:
This reminds me: we should probably link these guides from the
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Josh Rosen commented on SPARK-27969:
It looks like this issue has been reported twice in the past:
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Josh Rosen updated SPARK-27969:
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Component/s: Optimizer
> Non-deterministic expressions in filters or projects can unnecessarily
>
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Josh Rosen commented on SPARK-27761:
FYI, I'm marking SPARK-27969 as a blocker to this because
Josh Rosen created SPARK-27969:
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Summary: Non-deterministic expressions in filters or projects can
unnecessarily prevent all scan-time column pruning, harming performance
Key: SPARK-27969
URL:
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Josh Rosen updated SPARK-27940:
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Description:
{{SubtractedRDD}}, which is used to implement {{RDD.subtract()}} and
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Josh Rosen updated SPARK-27940:
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Description:
{{SubtractedRDD}}, which is used to implement {{RDD.subtract()}} and
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Josh Rosen updated SPARK-27940:
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Description:
{{SubtractedRDD}}, which is used to implement {{RDD.subtract()}} and
Josh Rosen created SPARK-27940:
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Summary: SubtractedRDD is OOM-prone because it does not support
spilling
Key: SPARK-27940
URL: https://issues.apache.org/jira/browse/SPARK-27940
Project: Spark
Josh Rosen created SPARK-27915:
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Summary: Update logical Filter's output nullability based on
IsNotNull conditions
Key: SPARK-27915
URL: https://issues.apache.org/jira/browse/SPARK-27915
Project: Spark
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Josh Rosen reassigned SPARK-27684:
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Assignee: Marco Gaido
> Reduce ScalaUDF conversion overheads for primitives
>
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Josh Rosen resolved SPARK-27684.
Resolution: Fixed
Fix Version/s: 3.0.0
Fixed for 3.0 in
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Josh Rosen commented on SPARK-27785:
I think this might require a little bit more design work before
Josh Rosen created SPARK-27846:
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Summary: Eagerly compute Configuration.properties in
sc.hadoopConfiguration
Key: SPARK-27846
URL: https://issues.apache.org/jira/browse/SPARK-27846
Project: Spark
Josh Rosen created SPARK-27841:
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Summary: Improve UTF8String fromString()/toString()/numChars()
performance when strings are ASCII
Key: SPARK-27841
URL: https://issues.apache.org/jira/browse/SPARK-27841
Josh Rosen created SPARK-27839:
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Summary: Improve UTF8String.replace() / StringReplace performance
Key: SPARK-27839
URL: https://issues.apache.org/jira/browse/SPARK-27839
Project: Spark
Issue
Josh Rosen created SPARK-27829:
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Summary: In Dataset.joinWith inner joins, don't nest data before
shuffling
Key: SPARK-27829
URL: https://issues.apache.org/jira/browse/SPARK-27829
Project: Spark
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Josh Rosen commented on SPARK-19468:
Chiming in to add a strong +1 here, since this seems like it
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Josh Rosen updated SPARK-27799:
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Issue Type: New Feature (was: Bug)
> Allow SerializerManager.canUseKryo whitelist to be extended
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Josh Rosen updated SPARK-27799:
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Description:
Kryo serialization can offer a substantial performance boost compared to Java
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Josh Rosen updated SPARK-27799:
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Description:
Kryo serialization can offer a substantial performance boost compared to Java
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Josh Rosen updated SPARK-27799:
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Description:
Kryo serialization can offer a substantial performance boost compared to Java
Josh Rosen created SPARK-27799:
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Summary: Allow SerializerManager.canUseKryo to be customized via
configuration
Key: SPARK-27799
URL: https://issues.apache.org/jira/browse/SPARK-27799
Project: Spark
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Josh Rosen updated SPARK-27799:
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Summary: Allow SerializerManager.canUseKryo whitelist to be extended via a
configuration (was:
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Josh Rosen commented on SPARK-23978:
+1; I've also seen this in unit tests of my own Spark
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Josh Rosen commented on SPARK-27676:
+1 [~ste...@apache.org]: I agree that this is by no means
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Josh Rosen reassigned SPARK-27676:
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Assignee: Josh Rosen
> InMemoryFileIndex should hard-fail on missing files instead of
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Josh Rosen updated SPARK-27786:
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Description:
When running a custom build of Spark which shades {{commons-codec}}, the
{{sha1Hex}}
Josh Rosen created SPARK-27786:
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Summary: SHA1, MD5, and Base64 expression codegen doesn't work
when commons-codec is shaded
Key: SPARK-27786
URL: https://issues.apache.org/jira/browse/SPARK-27786
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Josh Rosen updated SPARK-27785:
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Description:
Today it's rather painful to do a typed dataset join of more than two tables:
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Josh Rosen updated SPARK-27785:
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Description:
Today it's rather painful to do a typed dataset join of more than two tables:
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Josh Rosen updated SPARK-27785:
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Summary: Introduce .joinWith() overloads for typed inner joins of 3 or more
tables (was: Introduce
Josh Rosen created SPARK-27785:
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Summary: Introduce .joinWith() overload for inner join of 3 or
more tables
Key: SPARK-27785
URL: https://issues.apache.org/jira/browse/SPARK-27785
Project: Spark
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Josh Rosen commented on SPARK-27726:
Thanks for the detailed bug repot! I appreciate the performance
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Josh Rosen updated SPARK-27736:
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Description:
This ticket describes a fault-tolerance edge-case which can cause Spark jobs to
fail
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https://issues.apache.org/jira/browse/SPARK-27736?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen updated SPARK-27736:
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Description:
I have discovered a fault-tolerance edge-case which can cause Spark jobs to
fail if a
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https://issues.apache.org/jira/browse/SPARK-27736?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen updated SPARK-27736:
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Description:
I have discovered a fault-tolerance edge-case which can cause Spark jobs to
fail if a
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https://issues.apache.org/jira/browse/SPARK-27736?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Josh Rosen updated SPARK-27736:
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Description:
I have discovered a fault-tolerance edge-case which can cause Spark jobs to
fail if a
Josh Rosen created SPARK-27736:
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Summary: Improve handling of FetchFailures caused by
ExternalShuffleService losing track of executor registrations
Key: SPARK-27736
URL:
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https://issues.apache.org/jira/browse/SPARK-27684?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16839968#comment-16839968
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Josh Rosen commented on SPARK-27684:
I'm not planning to work on this right now, so this ticket is
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https://issues.apache.org/jira/browse/SPARK-27712?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen updated SPARK-27712:
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Labels: correctness (was: )
> createDataFrame() reorders row
> --
>
>
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https://issues.apache.org/jira/browse/SPARK-27710?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen updated SPARK-27710:
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Issue Type: Bug (was: Improvement)
> ClassNotFoundException: $line196400984558.$read$ in
Josh Rosen created SPARK-27710:
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Summary: ClassNotFoundException: $line196400984558.$read$ in
OuterScopes
Key: SPARK-27710
URL: https://issues.apache.org/jira/browse/SPARK-27710
Project: Spark
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