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Hossein Falaki commented on SPARK-21450:
Yes, it was a copy/paste typo. Here is an example:
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Hossein Falaki updated SPARK-21450:
---
Description:
Consider the following two cases copied from {{test_sparkSQL.R}}:
{code}
df <-
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Hyukjin Kwon commented on SPARK-21105:
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Let me give a shot to clean up related JIRAs with a followup
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Felix Cheung commented on SPARK-21450:
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[~hyukjin.kwon]
If you follow the code in test_sparkSQL.R,
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Hyukjin Kwon resolved SPARK-21448.
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Resolution: Invalid
Question should go to mailing list. I am resolving this.
> Hi dear guys,
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pin_zhang commented on SPARK-21437:
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Hive doesn't have such limitation, we can create table with sql
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Hyukjin Kwon commented on SPARK-21392:
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[~stuartreynolds], Are you running a cluster but using a
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Wenchen Fan resolved SPARK-21445.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
Issue resolved by pull
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Hyukjin Kwon commented on SPARK-21227:
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[~sdia], I think you can but I am quite sure that proper and
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Xiao Li updated SPARK-21332:
Labels: corr (was: )
> Incorrect result type inferred for some decimal expressions
>
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Xiao Li resolved SPARK-21332.
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Resolution: Fixed
Assignee: Anton Okolnychyi
Fix Version/s: 2.3.0
> Incorrect result
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Xiao Li updated SPARK-21332:
Fix Version/s: 2.2.1
2.1.2
2.0.3
> Incorrect result type inferred
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Xiao Li updated SPARK-21332:
Labels: correctness (was: corr)
> Incorrect result type inferred for some decimal expressions
>
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Josh Rosen resolved SPARK-21444.
Resolution: Fixed
Fix Version/s: 2.3.0
> Fetch failure due to node reboot causes job
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Hossein Falaki updated SPARK-21450:
---
Description:
Consider the following two cases copied from {{test_sparkSQL.R}}:
{code}
df <-
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Hossein Falaki updated SPARK-21450:
---
Description:
Consider the following two cases copied from {{test_sparkSQL.R}}:
{code}
df <-
Hossein Falaki created SPARK-21450:
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Summary: List of NA is flattened inside a SparkR struct type
Key: SPARK-21450
URL: https://issues.apache.org/jira/browse/SPARK-21450
Project: Spark
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Apache Spark reassigned SPARK-21449:
Assignee: (was: Apache Spark)
> Hive client's SessionState was not closed properly
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Apache Spark reassigned SPARK-21449:
Assignee: Apache Spark
> Hive client's SessionState was not closed properly in
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Apache Spark commented on SPARK-21449:
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User 'yaooqinn' has created a pull request for this issue:
Kent Yao created SPARK-21449:
Summary: Hive client's SessionState was not closed properly in
HiveExternalCatalog
Key: SPARK-21449
URL: https://issues.apache.org/jira/browse/SPARK-21449
Project: Spark
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Apache Spark reassigned SPARK-21446:
Assignee: (was: Apache Spark)
> [SQL] JDBC Postgres fetchsize parameter ignored again
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Apache Spark reassigned SPARK-21446:
Assignee: Apache Spark
> [SQL] JDBC Postgres fetchsize parameter ignored again
>
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Apache Spark commented on SPARK-21446:
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User 'DFFuture' has created a pull request for this issue:
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Albert Jang updated SPARK-21446:
Issue Type: Bug (was: Improvement)
> [SQL] JDBC Postgres fetchsize parameter ignored again
>
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Ruslan Dautkhanov commented on SPARK-15703:
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It breaks spark dynamic allocation too - Spark
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Tathagata Das resolved SPARK-21409.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 18661
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Carlos Bribiescas edited comment on SPARK-15703 at 7/18/17 2:15 AM:
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Carlos Bribiescas commented on SPARK-15703:
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Does this only affect the UI or will jobs actually
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Wenchen Fan reassigned SPARK-21410:
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Assignee: APeng Zhang
> In RangePartitioner(partitions: Int, rdd: RDD[]),
>
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Wenchen Fan resolved SPARK-21410.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18631
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qihuagao updated SPARK-21448:
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Description:
java pair rrd has aggregateByKey, which can avoid full shuffle, so have
impressive
qihuagao created SPARK-21448:
Summary: Hi dear guys, I have a question about aggregateByKey of
pairrrd.
Key: SPARK-21448
URL: https://issues.apache.org/jira/browse/SPARK-21448
Project: Spark
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Wenchen Fan updated SPARK-19104:
Fix Version/s: 2.1.2
> CompileException with Map and Case Class in Spark 2.1.0
>
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Albert Jang updated SPARK-21446:
Description:
This bug was fixed in https://github.com/apache/spark/pull/9861
but reappears in
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Shixiong Zhu edited comment on SPARK-21425 at 7/18/17 1:06 AM:
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I remember
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Shixiong Zhu commented on SPARK-21425:
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I remember that if making LongAccumulator, DoubleAccumulator
Eric Vandenberg created SPARK-21447:
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Summary: Spark history server fails to render compressed
inprogress history file in some cases.
Key: SPARK-21447
URL: https://issues.apache.org/jira/browse/SPARK-21447
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holdenk updated SPARK-21394:
Fix Version/s: 2.3.0
> Reviving broken callable objects in UDF in PySpark
>
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holdenk updated SPARK-21432:
Fix Version/s: 2.3.0
> Reviving broken partial functions in UDF in PySpark
>
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holdenk reassigned SPARK-21394:
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Assignee: Hyukjin Kwon
> Reviving broken callable objects in UDF in PySpark
>
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holdenk resolved SPARK-21394.
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Resolution: Fixed
> Reviving broken callable objects in UDF in PySpark
>
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holdenk resolved SPARK-21432.
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Resolution: Fixed
> Reviving broken partial functions in UDF in PySpark
>
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holdenk reassigned SPARK-21432:
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Assignee: Hyukjin Kwon
> Reviving broken partial functions in UDF in PySpark
>
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holdenk updated SPARK-21394:
Affects Version/s: (was: 2.2.0)
> Reviving broken callable objects in UDF in PySpark
>
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Apache Spark reassigned SPARK-21375:
Assignee: Apache Spark
> Add date and timestamp support to ArrowConverters for toPandas()
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Apache Spark commented on SPARK-21375:
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User 'BryanCutler' has created a pull request for this
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Apache Spark reassigned SPARK-21375:
Assignee: (was: Apache Spark)
> Add date and timestamp support to ArrowConverters for
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Huan Dao updated SPARK-17565:
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Comment: was deleted
(was: I'm getting this error, any update for fixing this?)
> Janino exception
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Huan Dao updated SPARK-17565:
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Comment: was deleted
(was: I'm getting this error, any update for fixing this?)
> Janino exception when
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Huan Dao commented on SPARK-17565:
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I'm getting this error, any update for fixing this?
> Janino
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Huan Dao commented on SPARK-17565:
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I'm getting this error, any update for fixing this?
> Janino
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Apache Spark commented on SPARK-20079:
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User 'vanzin' has created a pull request for this issue:
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Cheng Lian reassigned SPARK-9686:
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Assignee: (was: Cheng Lian)
> Spark Thrift server doesn't return correct JDBC metadata
>
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Apache Spark commented on SPARK-21444:
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User 'JoshRosen' has created a pull request for this issue:
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Albert Jang updated SPARK-21446:
Description:
This bug is fixed in https://github.com/apache/spark/pull/9861
but reappears in spark
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Albert Jang updated SPARK-21446:
Description:
This bug is fixed in https://github.com/apache/spark/pull/9861
but reappears in spark
Albert Jang created SPARK-21446:
---
Summary: [SQL] JDBC Postgres fetchsize parameter ignored again
Key: SPARK-21446
URL: https://issues.apache.org/jira/browse/SPARK-21446
Project: Spark
Issue
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Apache Spark commented on SPARK-21409:
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User 'tdas' has created a pull request for this issue:
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Burak Yavuz reassigned SPARK-21445:
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Assignee: Burak Yavuz
> NotSerializableException thrown by UTF8String.IntWrapper
>
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Josh Rosen reassigned SPARK-21444:
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Assignee: Josh Rosen
> Fetch failure due to node reboot causes job failure
>
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Josh Rosen commented on SPARK-21444:
I spot the problem: in the old code, we removed the broadcast
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Apache Spark reassigned SPARK-21445:
Assignee: Apache Spark
> NotSerializableException thrown by UTF8String.IntWrapper
>
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Apache Spark commented on SPARK-21445:
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User 'brkyvz' has created a pull request for this issue:
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Apache Spark reassigned SPARK-21445:
Assignee: (was: Apache Spark)
> NotSerializableException thrown by
Burak Yavuz created SPARK-21445:
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Summary: NotSerializableException thrown by UTF8String.IntWrapper
Key: SPARK-21445
URL: https://issues.apache.org/jira/browse/SPARK-21445
Project: Spark
Issue
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Josh Rosen commented on SPARK-21444:
I'm going to adjust the "affects versions" on this because it
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Josh Rosen updated SPARK-21444:
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Affects Version/s: (was: 2.0.2)
2.3.0
> Fetch failure due to node reboot
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Sital Kedia commented on SPARK-21444:
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Any idea how to fix this issue?
> Fetch failure due to node
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Sital Kedia commented on SPARK-21444:
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cc - [~joshrosen]
> Fetch failure due to node reboot causes
Sital Kedia created SPARK-21444:
---
Summary: Fetch failure due to node reboot causes job failure
Key: SPARK-21444
URL: https://issues.apache.org/jira/browse/SPARK-21444
Project: Spark
Issue
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Yanbo Liang commented on SPARK-20307:
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[~wangmiao1981] I think [~podongfeng] already added it in
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Bryan Cutler commented on SPARK-21187:
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NOTE - There was a bug fixed in Arrow 0.4.1 for the Decimal
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Bryan Cutler updated SPARK-21375:
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Issue Type: Sub-task (was: Improvement)
Parent: SPARK-21187
> Add date and timestamp
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Apache Spark reassigned SPARK-21404:
Assignee: (was: Apache Spark)
> Simple Vectorized Python UDFs using Arrow
>
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Apache Spark commented on SPARK-21404:
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User 'BryanCutler' has created a pull request for this
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Apache Spark reassigned SPARK-21404:
Assignee: Apache Spark
> Simple Vectorized Python UDFs using Arrow
>
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Marcelo Vanzin resolved SPARK-21377.
Resolution: Fixed
Assignee: Saisai Shao
Fix Version/s: 2.3.0
> Jars
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Joseph K. Bradley commented on SPARK-15574:
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(Just commented on the PR; I'm uncertain about the
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Kazuaki Ishizaki commented on SPARK-21443:
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These two optimizations
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Miao Wang commented on SPARK-20307:
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[~yanboliang] Have you added the support on Python side? I think
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Thomas Graves resolved SPARK-21321.
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Resolution: Fixed
Assignee: Jong Yoon Lee
Fix Version/s: 2.3.0
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John Zhuge commented on SPARK-11182:
Is this issue fixed by HDFS-9276?
> HDFS Delegation Token will
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Stuart Reynolds commented on SPARK-21392:
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So trying to look at the csv was helpful.
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Sean Owen commented on SPARK-20871:
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Got it, so it can fail in normal operation. I can see turning down
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Stuart Reynolds commented on SPARK-21392:
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I've made the example self contained and sourced from
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Stuart Reynolds updated SPARK-21392:
Description:
The following boring code works up until when I read in the parquet file.
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https://issues.apache.org/jira/browse/SPARK-21392?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Stuart Reynolds updated SPARK-21392:
Description:
The following boring code works up until when I read in the parquet file.
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https://issues.apache.org/jira/browse/SPARK-20871?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16090125#comment-16090125
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PJ Fanning commented on SPARK-20871:
[~srowen] One of the main reasons for the Janino compile to fail
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https://issues.apache.org/jira/browse/SPARK-20871?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-20871:
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Priority: Trivial (was: Major)
Fix Version/s: (was: 2.3.0)
> Only log Janino code in
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Sean Owen commented on SPARK-20871:
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Why would you not want this information, if compilation has
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PJ Fanning updated SPARK-20871:
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Fix Version/s: 2.3.0
> Only log Janino code in debug mode
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>
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PJ Fanning updated SPARK-20871:
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Component/s: (was: Spark Core)
SQL
> Only log Janino code in debug mode
>
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Apache Spark reassigned SPARK-20871:
Assignee: (was: Apache Spark)
> Only log Janino code in debug mode
>
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Apache Spark reassigned SPARK-20871:
Assignee: Apache Spark
> Only log Janino code in debug mode
>
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Apache Spark commented on SPARK-20871:
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User 'pjfanning' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-21221?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley resolved SPARK-21221.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18428
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https://issues.apache.org/jira/browse/SPARK-18085?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16090042#comment-16090042
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Marcelo Vanzin commented on SPARK-18085:
> SPIP: Better History Server scalability for many /
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https://issues.apache.org/jira/browse/SPARK-21433?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16090035#comment-16090035
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Marcelo Vanzin commented on SPARK-21433:
I have no idea what is being asked here. Spark 2.2
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https://issues.apache.org/jira/browse/SPARK-21425?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16090017#comment-16090017
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Ryan Williams commented on SPARK-21425:
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Yea, static accumulators; I was able to reproduce it in
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