Marco Gaido created SPARK-14594:
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Summary: Improve error messages for RDD API
Key: SPARK-14594
URL: https://issues.apache.org/jira/browse/SPARK-14594
Project: Spark
Issue Type: Improvement
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Marco Gaido commented on SPARK-14594:
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Yes, it works with few data. But if you put a lot of data
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Marco Gaido commented on SPARK-14594:
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Yes, I do believe that this is what is happening
> Improve
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Marco Gaido updated SPARK-14594:
Affects Version/s: (was: 1.6.0)
1.5.2
> Improve error messages for RDD
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Marco Gaido commented on SPARK-14594:
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I am using Spark1.5.2. Maybe the issue is resolved now..
>
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Marco Gaido commented on SPARK-14594:
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The code is quite simple, what I can't give you is the data
Marco Gaido created SPARK-21738:
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Summary: Thriftserver doesn't cancel jobs when session is closed
Key: SPARK-21738
URL: https://issues.apache.org/jira/browse/SPARK-21738
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-21340?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16089487#comment-16089487
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Marco Gaido commented on SPARK-21340:
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[~jake.charland] I submitted a PR but I am not sure it will be
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Marco Gaido commented on SPARK-20990:
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A PR fixing it is ready:
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https://issues.apache.org/jira/browse/SPARK-14516?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16069815#comment-16069815
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Marco Gaido commented on SPARK-14516:
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Hello everybody,
I have a proposal for a very efficient
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Marco Gaido commented on SPARK-21658:
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[~viirya] ok, thanks.
> Adds the default None for value in
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Marco Gaido commented on SPARK-21658:
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Though, the documentation points out that there is no default
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Marco Gaido commented on SPARK-21725:
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[~zhangxin0112zx] I followed your instructions, but I am
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Marco Gaido commented on SPARK-21772:
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can someone of the admin close this as 'Invalid' please? For
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Marco Gaido commented on SPARK-21768:
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This is a duplicate of SPARK-17916.
> spark.csv.read Empty
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Marco Gaido commented on SPARK-19909:
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IMHO the best option to deal with this problem is to force the
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Marco Gaido commented on SPARK-19909:
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[~rvoyer] there is a workaround and it is easy: you have to
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Marco Gaido commented on SPARK-22036:
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Yes, it is only for multiplications. The reason is that for
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Marco Gaido commented on SPARK-22036:
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This happens because there is an overflow in the operation. I
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Marco Gaido commented on SPARK-22036:
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Maybe the "bad" part is that by default spark creates the
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Marco Gaido commented on SPARK-22040:
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May I work on this?
> current_date function with timezone id
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Marco Gaido commented on SPARK-22036:
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Honestly I don't know, that is why I said that I don't know
Marco Gaido created SPARK-22215:
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Summary: Add a configuration parameter to set max size for
generated classes
Key: SPARK-22215
URL: https://issues.apache.org/jira/browse/SPARK-22215
Project: Spark
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Marco Gaido commented on SPARK-6:
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I am not sure about what the current open PR is going to
Marco Gaido created SPARK-6:
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Summary: Code generation fails for dataframes with 1 columns
Key: SPARK-6
URL: https://issues.apache.org/jira/browse/SPARK-6
Project: Spark
Issue
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Marco Gaido commented on SPARK-0:
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Please may you provide some sample data and easy code to
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Marco Gaido commented on SPARK-6:
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[~srowen] I know that there are many ticket for this, but I
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Marco Gaido commented on SPARK-6:
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[~kiszk] I am not sure that the PR you mentioned solves the
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Marco Gaido updated SPARK-6:
Summary: splitExpression can create too many method calls (generating a
Constant Pool limit error)
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Marco Gaido commented on SPARK-6:
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Exactly [~kiszk], sorry for the bad initial title of the JIRA.
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Marco Gaido reopened SPARK-6:
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> splitExpression can create too many method calls (generating a Constant Pool
> limit error)
>
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Marco Gaido edited comment on SPARK-21944 at 9/8/17 9:57 AM:
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[~KevinZwx] you
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Marco Gaido edited comment on SPARK-21944 at 9/8/17 10:31 AM:
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[~KevinZwx]
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Marco Gaido commented on SPARK-21944:
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[~kevinzhang] you should define the watermark on the column
Marco Gaido created SPARK-21957:
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Summary: Add current_user function
Key: SPARK-21957
URL: https://issues.apache.org/jira/browse/SPARK-21957
Project: Spark
Issue Type: New Feature
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Marco Gaido commented on SPARK-21918:
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What I meant is that if we want to support doAs, we shouldn't
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Marco Gaido commented on SPARK-21918:
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Yes, I think this would be great, thanks.
> HiveClient
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Marco Gaido commented on SPARK-21888:
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[~tgraves] Sorry, I misread. Of course, this doesn't add it to
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Marco Gaido commented on SPARK-21918:
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What do you mean by "works correctly"? Actually all the jobs
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Marco Gaido commented on SPARK-21944:
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May you please provide some sample data to reproduce the
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Marco Gaido commented on SPARK-21938:
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It would be helpful if you can post a sample code to reproduce
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Marco Gaido commented on SPARK-21981:
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[~yanboliang] yes, thanks. I will post a PR asap, thank you.
Marco Gaido created SPARK-22119:
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Summary: Add cosine distance to KMeans
Key: SPARK-22119
URL: https://issues.apache.org/jira/browse/SPARK-22119
Project: Spark
Issue Type: New Feature
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Marco Gaido resolved SPARK-22040.
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Resolution: Invalid
> current_date function with timezone id
>
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Marco Gaido commented on SPARK-21905:
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This is likely to be caused by a bug in the Magellan package.
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Marco Gaido commented on SPARK-21888:
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It is enough to add {{hbase-site.xml}} using {{--files}} in
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Marco Gaido commented on SPARK-21918:
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hive.server2.enable.doAs=true is currently not supported in
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Marco Gaido edited comment on SPARK-21918 at 9/5/17 1:54 PM:
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Marco Gaido commented on SPARK-0:
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Your version is quite old and Spark 1.6 is no longer
Marco Gaido created SPARK-22146:
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Summary: FileNotFoundException while reading ORC files containing
'%'
Key: SPARK-22146
URL: https://issues.apache.org/jira/browse/SPARK-22146
Project: Spark
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Marco Gaido commented on SPARK-22146:
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If you look carefully at the file which Spark is looking for,
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Marco Gaido edited comment on SPARK-22146 at 9/27/17 2:58 PM:
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Yes, that is
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Marco Gaido commented on SPARK-22146:
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Yes, that is a local file and I am running `spark-shell`
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Marco Gaido edited comment on SPARK-20617 at 10/19/17 11:43 AM:
This is
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Marco Gaido edited comment on SPARK-20617 at 10/19/17 11:43 AM:
This is
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Marco Gaido commented on SPARK-20617:
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This is not a bug. This is the right and expected behavior
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Marco Gaido resolved SPARK-20617.
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Resolution: Not A Bug
> pyspark.sql filtering fails when using ~isin when there are nulls in
Marco Gaido created SPARK-22301:
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Summary: Add rule to Optimizer for In with empty list of values
Key: SPARK-22301
URL: https://issues.apache.org/jira/browse/SPARK-22301
Project: Spark
Issue
Marco Gaido created SPARK-22520:
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Summary: Support code generation also for complex CASE WHEN
Key: SPARK-22520
URL: https://issues.apache.org/jira/browse/SPARK-22520
Project: Spark
Issue Type:
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Marco Gaido commented on SPARK-19268:
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In my case, deleting `_spark_metadata` solved the issue. Thus
Marco Gaido created SPARK-22635:
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Summary: FileNotFoundException again while reading ORC files
containing special characters
Key: SPARK-22635
URL: https://issues.apache.org/jira/browse/SPARK-22635
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Marco Gaido commented on SPARK-22627:
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This should be fixed by SPARK-19106. I think it is a
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Marco Gaido resolved SPARK-22631.
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Resolution: Duplicate
> Consolidate all configuration properties into one page
>
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Marco Gaido commented on SPARK-22627:
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[~srowen] the issue seems not present anymore on branch-2.2 (I
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Marco Gaido resolved SPARK-22609.
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Resolution: Invalid
> Reuse CodeGeneration.nullSafeExec when possible
>
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Marco Gaido closed SPARK-22609.
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> Reuse CodeGeneration.nullSafeExec when possible
> ---
>
>
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Marco Gaido commented on SPARK-22575:
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You can use `UNCACHE TABLE` to remove them from cache if you
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Marco Gaido commented on SPARK-22582:
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I tried to run
{code}
spark.sql("select round(100.1 , 1) as
Marco Gaido created SPARK-22609:
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Summary: Reuse CodeGeneration.nullSafeExec when possible
Key: SPARK-22609
URL: https://issues.apache.org/jira/browse/SPARK-22609
Project: Spark
Issue Type:
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Marco Gaido commented on SPARK-19268:
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[~zsxwing] I am hitting this too and I am running 2.2.0. My
Marco Gaido created SPARK-22684:
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Summary: Avoid the generation of useless mutable states by
datetime functions
Key: SPARK-22684
URL: https://issues.apache.org/jira/browse/SPARK-22684
Project: Spark
Marco Gaido created SPARK-22669:
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Summary: Avoid unnecessary function calls in code generation
Key: SPARK-22669
URL: https://issues.apache.org/jira/browse/SPARK-22669
Project: Spark
Issue
Marco Gaido created SPARK-22693:
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Summary: Avoid the generation of useless mutable states in
complexTypeCreator and predicates
Key: SPARK-22693
URL: https://issues.apache.org/jira/browse/SPARK-22693
Marco Gaido created SPARK-22698:
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Summary: Avoid the generation of useless mutable states by
GenerateUnsafeProjection
Key: SPARK-22698
URL: https://issues.apache.org/jira/browse/SPARK-22698
Project:
Marco Gaido created SPARK-22699:
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Summary: Avoid the generation of useless mutable states by
GenerateSafeProjection
Key: SPARK-22699
URL: https://issues.apache.org/jira/browse/SPARK-22699
Project:
Marco Gaido created SPARK-22697:
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Summary: Avoid the generation of useless mutable states by
GenerateMutableProjection
Key: SPARK-22697
URL: https://issues.apache.org/jira/browse/SPARK-22697
Project:
Marco Gaido created SPARK-22694:
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Summary: Avoid the generation of useless mutable states by regexp
functions
Key: SPARK-22694
URL: https://issues.apache.org/jira/browse/SPARK-22694
Project: Spark
Marco Gaido created SPARK-22692:
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Summary: Reduce the number of generated mutable states
Key: SPARK-22692
URL: https://issues.apache.org/jira/browse/SPARK-22692
Project: Spark
Issue Type: Bug
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Marco Gaido updated SPARK-22684:
Issue Type: Sub-task (was: Bug)
Parent: SPARK-22692
> Avoid the generation of useless
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Marco Gaido updated SPARK-22696:
Summary: Avoid the generation of useless mutable states by objects
functions (was: void the
Marco Gaido created SPARK-22695:
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Summary: Avoid the generation of useless mutable states by scalaUDF
Key: SPARK-22695
URL: https://issues.apache.org/jira/browse/SPARK-22695
Project: Spark
Marco Gaido created SPARK-22696:
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Summary: void the generation of useless mutable states by objects
functions
Key: SPARK-22696
URL: https://issues.apache.org/jira/browse/SPARK-22696
Project: Spark
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Marco Gaido commented on SPARK-22806:
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This is the right behavior. Also Postgres works like this. if
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Marco Gaido resolved SPARK-22806.
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Resolution: Invalid
> Window Aggregate functions: unexpected result at ordered partition
>
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Marco Gaido commented on SPARK-22793:
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Have you tried if the problem still exists in current master
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Marco Gaido commented on SPARK-22799:
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may I work on this?
> Bucketizer should throw exception if
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Marco Gaido commented on SPARK-22773:
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It is not a bug, since {res} is not an empty array, but it
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Marco Gaido commented on SPARK-22752:
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thanks [~zsxwing]. You are right. I am closing this as
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Marco Gaido resolved SPARK-22752.
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Resolution: Duplicate
> FileNotFoundException while reading from Kafka
>
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Marco Gaido commented on SPARK-22841:
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I am not able to reproduce on current master. Can you try and
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https://issues.apache.org/jira/browse/SPARK-22516?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16257088#comment-16257088
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Marco Gaido commented on SPARK-22516:
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not sure why but this is caused by the fact that your file
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https://issues.apache.org/jira/browse/SPARK-22493?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16247660#comment-16247660
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Marco Gaido commented on SPARK-22493:
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`NaN` is not `null`. They are different things. If you want to
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Marco Gaido edited comment on SPARK-22493 at 11/10/17 3:39 PM:
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{{NaN}} is
Marco Gaido created SPARK-22494:
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Summary: Coalesce and AtLeastNNonNulls can cause 64KB JVM bytecode
limit exception
Key: SPARK-22494
URL: https://issues.apache.org/jira/browse/SPARK-22494
Project:
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Marco Gaido commented on SPARK-22516:
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[~crkumaresh24] I can't reproduce the issue with the new file
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https://issues.apache.org/jira/browse/SPARK-22576?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16261293#comment-16261293
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Marco Gaido commented on SPARK-22576:
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why do you expect locate to work like this and not as it is
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Marco Gaido commented on SPARK-22576:
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I see, but this is SAP Sysbase. Why do you think Spark should
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Marco Gaido commented on SPARK-22575:
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does it happen because you are caching some tables and never
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https://issues.apache.org/jira/browse/SPARK-22501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16248983#comment-16248983
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Marco Gaido commented on SPARK-22501:
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[~kiszk] are you working on this or can I take it?
> 64KB JVM
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Marco Gaido commented on SPARK-22532:
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the reason is that `header.eventId.lo` is not a column name,
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