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koert kuipers commented on SPARK-28945:
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See also:
koert kuipers created SPARK-28945:
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Summary: Allow concurrent writes to unrelated partitions with
dynamic partition overwrite
Key: SPARK-28945
URL: https://issues.apache.org/jira/browse/SPARK-28945
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koert kuipers edited comment on SPARK-27780 at 6/30/19 8:29 PM:
fwiw i
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koert kuipers commented on SPARK-27780:
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fwiw i just ran into this since i am building and
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koert kuipers commented on SPARK-25783:
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[~vanzin] i am using:
{code:java}
export
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koert kuipers commented on SPARK-27512:
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i agree it is better than having two different decimal
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koert kuipers commented on SPARK-27512:
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seems DecimalFormat.parse also simply ignores commas.
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koert kuipers edited comment on SPARK-27512 at 4/21/19 11:03 PM:
-
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koert kuipers commented on SPARK-27512:
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[~maxgekk] max do you know why getDecimalParser has that
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koert kuipers commented on SPARK-27513:
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i think this can be closed as wont fix
> Spark tarball
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koert kuipers commented on SPARK-27512:
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default locale is US, which now has this logic for
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koert kuipers commented on SPARK-27512:
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{code:bash}
$ hadoop fs -cat test.bsv
x|y
1|1,2,3
2|4,5,6
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koert kuipers updated SPARK-27513:
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Description:
currently the tarball is created in dev/make-distribution.sh like this:
koert kuipers created SPARK-27513:
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Summary: Spark tarball with binaries should have files owned by
uid 0
Key: SPARK-27513
URL: https://issues.apache.org/jira/browse/SPARK-27513
Project: Spark
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koert kuipers updated SPARK-27512:
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Summary: Decimal parsing leads to unexpected type inference (was: Decimal
parsing leading to
koert kuipers created SPARK-27512:
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Summary: Decimal parsing leading to unexpected type inference
Key: SPARK-27512
URL: https://issues.apache.org/jira/browse/SPARK-27512
Project: Spark
Issue
koert kuipers created SPARK-27477:
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Summary: Kafka token provider should have provided dependency on
Spark
Key: SPARK-27477
URL: https://issues.apache.org/jira/browse/SPARK-27477
Project: Spark
koert kuipers created SPARK-26208:
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Summary: Empty dataframe does not roundtrip for csv with header
Key: SPARK-26208
URL: https://issues.apache.org/jira/browse/SPARK-26208
Project: Spark
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koert kuipers commented on SPARK-25783:
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[~viirya] what version of jline is loaded from scala
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koert kuipers commented on SPARK-25783:
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[~viirya] are you saying that jline classes are loaded
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koert kuipers commented on SPARK-25783:
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adding jline-2.14.6.jar to the spark jars folder solves
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koert kuipers edited comment on SPARK-25783 at 10/19/18 10:25 PM:
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i
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koert kuipers edited comment on SPARK-25783 at 10/19/18 9:25 PM:
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i was
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koert kuipers commented on SPARK-25783:
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i was just to same conclusion. i couldn't find jline
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koert kuipers updated SPARK-25783:
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Environment: spark 2.4.0-rc3 on hadoop 2.6.0 (cdh 5.15.1) with
-Phadoop-provided (was: spark
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koert kuipers updated SPARK-25783:
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Environment: spark 2.4.0-rc3 on hadoop 2.6.0 (cdh 5.15.1) with (was:
spark 2.4.0-rc3 which
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koert kuipers updated SPARK-25783:
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Description:
error i get when launching spark-shell is:
{code:bash}
Spark context Web UI
koert kuipers created SPARK-25783:
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Summary: Spark shell fails because of jline incompatibility
Key: SPARK-25783
URL: https://issues.apache.org/jira/browse/SPARK-25783
Project: Spark
Issue
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koert kuipers edited comment on SPARK-17916 at 8/18/18 7:20 PM:
my first
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koert kuipers commented on SPARK-17916:
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now the particular unit test that broke for us, where
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koert kuipers commented on SPARK-17916:
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we also use csv format to write files like for example
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koert kuipers commented on SPARK-17916:
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my first observation is that if i do this:
{code:scala}
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koert kuipers commented on SPARK-17916:
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hi [~maxgekk]
i saw your unit test for the old behavior.
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koert kuipers edited comment on SPARK-17916 at 8/17/18 8:05 PM:
the
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koert kuipers edited comment on SPARK-17916 at 8/17/18 8:03 PM:
the
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koert kuipers edited comment on SPARK-17916 at 8/17/18 7:54 PM:
the
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koert kuipers commented on SPARK-17916:
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the default behavior in 2.3.x for csv format is that when
koert kuipers created SPARK-25134:
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Summary: Csv column pruning with checking of headers throws
incorrect error
Key: SPARK-25134
URL: https://issues.apache.org/jira/browse/SPARK-25134
Project: Spark
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koert kuipers commented on SPARK-15516:
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we also ran into this on columns that are not key
koert kuipers created SPARK-24860:
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Summary: Expose dynamic partition overwrite per write operation
Key: SPARK-24860
URL: https://issues.apache.org/jira/browse/SPARK-24860
Project: Spark
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koert kuipers commented on SPARK-20073:
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leftjoin of a dataframe x with results from an aggregation
koert kuipers created SPARK-20804:
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Summary: Join with null safe equality fails with AnalysisException
Key: SPARK-20804
URL: https://issues.apache.org/jira/browse/SPARK-20804
Project: Spark
koert kuipers created SPARK-20359:
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Summary: Catalyst EliminateOuterJoin optimization can cause NPE
Key: SPARK-20359
URL: https://issues.apache.org/jira/browse/SPARK-20359
Project: Spark
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koert kuipers commented on SPARK-19536:
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great, that only leaves maps and nested structs then i
koert kuipers created SPARK-19536:
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Summary: Improve capability to merge SQL data types
Key: SPARK-19536
URL: https://issues.apache.org/jira/browse/SPARK-19536
Project: Spark
Issue Type:
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koert kuipers edited comment on SPARK-13801 at 2/7/17 4:30 PM:
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wenchen,
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koert kuipers edited comment on SPARK-13801 at 2/7/17 4:29 PM:
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wenchen,
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koert kuipers edited comment on SPARK-13801 at 2/7/17 4:30 PM:
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wenchen,
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koert kuipers commented on SPARK-13801:
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wenchen,
you say: just get the name out and wrap it with
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koert kuipers edited comment on SPARK-13801 at 2/7/17 4:29 PM:
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wenchen,
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koert kuipers commented on SPARK-11976:
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do we really need this? this sounds as complex and maybe
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koert kuipers commented on SPARK-19493:
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all for this now, after a year of deprecation
> Remove
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koert kuipers commented on SPARK-19468:
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so to summarize: RDD does what we would expect, DataFrame
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koert kuipers commented on SPARK-19468:
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inserting unnecessary shuffles makes things very slow. and
koert kuipers created SPARK-19468:
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Summary: Dataset slow because of unnecessary shuffles
Key: SPARK-19468
URL: https://issues.apache.org/jira/browse/SPARK-19468
Project: Spark
Issue Type:
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Koert Kuipers updated SPARK-19428:
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if I remember correctly window function is like a canned secondary sort
with limited
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koert kuipers edited comment on SPARK-19428 at 2/4/17 8:57 PM:
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koert kuipers commented on SPARK-19428:
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generalizing to return top-x by some sorting is
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koert kuipers updated SPARK-19416:
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Comment: was deleted
(was: would it be simpler to ban columns with a period in the name?)
>
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koert kuipers edited comment on SPARK-19428 at 2/4/17 6:10 PM:
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getting a
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koert kuipers commented on SPARK-19428:
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getting a first element for each group (which is somewhat
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koert kuipers commented on SPARK-19416:
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would it be simpler to ban columns with a period in the
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koert kuipers commented on SPARK-17977:
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this would be great. and the same applies to
Title: Message Title
koert kuipers commented on SPARK-19323
koert kuipers created SPARK-19323:
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Summary: Upgrade breeze to 0.13
Key: SPARK-19323
URL: https://issues.apache.org/jira/browse/SPARK-19323
Project: Spark
Issue Type: Improvement
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koert kuipers commented on SPARK-16494:
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i just ran into an issue because of this when trying to
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koert kuipers commented on SPARK-17346:
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this ticket mentions kafka 0.10-based sinks for structured
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koert kuipers commented on SPARK-18711:
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confirmed it resolved the issue for me. thanks
> NPE in
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koert kuipers commented on SPARK-18251:
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i think all of these arguments are very valid, however to
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koert kuipers commented on SPARK-18711:
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simplified:
{noformat}
case class Holder(i: Int)
val
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koert kuipers updated SPARK-18711:
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Description:
this is a bug in the branch-2.1, but i don't think it was in 2.1.0-rc1
code
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koert kuipers updated SPARK-18711:
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Description:
this is a bug in the branch-2.1, but i don't think it was in 2.1.0-rc1
code:
koert kuipers created SPARK-18711:
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Summary: NPE in generated SpecificMutableProjection for Aggregator
Key: SPARK-18711
URL: https://issues.apache.org/jira/browse/SPARK-18711
Project: Spark
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koert kuipers commented on SPARK-15810:
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here is an example where (None,) gets read back in as
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koert kuipers edited comment on SPARK-15810 at 12/4/16 8:36 PM:
when i
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koert kuipers commented on SPARK-15810:
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when i code Aggregator up generically as a wrapper for
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koert kuipers commented on SPARK-15810:
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similar test:
{noformat}
val agg1 = new Aggregator[Int,
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koert kuipers commented on SPARK-15810:
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to continue the previous example: wrapping all my
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koert kuipers commented on SPARK-15810:
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next, again with spark 2.1.x branch i wanted to test an
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koert kuipers commented on SPARK-15810:
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i am redoing tests with options and aggregators against
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koert kuipers commented on SPARK-15798:
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using the implementation in spark-sorted
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koert kuipers commented on SPARK-17583:
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i see. so you are saying in spark 2.0.x it fails when the
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koert kuipers commented on SPARK-17583:
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i just tested out inhouse unit test (which run against
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koert kuipers edited comment on SPARK-18651 at 11/30/16 6:39 PM:
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i
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koert kuipers edited comment on SPARK-18651 at 11/30/16 6:38 PM:
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Fixed
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koert kuipers reopened SPARK-18651:
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> KeyValueGroupedDataset[K, V].reduceGroups cannot handle primitive for V
>
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koert kuipers resolved SPARK-18651.
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Resolution: Not A Bug
Fixed in master, still issue in branch-2.0
>
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koert kuipers commented on SPARK-18651:
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i cannot reproduce the error in master. it seems to work
koert kuipers created SPARK-18651:
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Summary: KeyValueGroupedDataset[K, V].reduceGroups cannot handle
primitive for V
Key: SPARK-18651
URL: https://issues.apache.org/jira/browse/SPARK-18651
Project:
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koert kuipers commented on SPARK-18122:
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[~sowen] why won'f fix? what changed
[~marmbrus] thought
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https://issues.apache.org/jira/browse/SPARK-15798?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15661918#comment-15661918
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koert kuipers commented on SPARK-15798:
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turns out the operations needed for this are already
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koert kuipers commented on SPARK-15798:
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looking at the code for Window operators it seems to me
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https://issues.apache.org/jira/browse/SPARK-17668?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15626613#comment-15626613
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koert kuipers commented on SPARK-17668:
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similar issues with tuples:
{noformat}
val df = Seq((1,
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https://issues.apache.org/jira/browse/SPARK-18147?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15613472#comment-15613472
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koert kuipers commented on SPARK-18147:
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it also breaks with an option of a case class. like this:
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koert kuipers updated SPARK-18147:
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Description:
this is me on purpose trying to break spark sql codegen to uncover potential
koert kuipers created SPARK-18147:
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Summary: Broken Spark SQL Codegen
Key: SPARK-18147
URL: https://issues.apache.org/jira/browse/SPARK-18147
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-15769?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15586654#comment-15586654
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Koert Kuipers commented on SPARK-15769:
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what i really want is to be able to use Aggregator in
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koert kuipers commented on SPARK-15769:
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worth pointing out:
* adding an encoder to the input type
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koert kuipers updated SPARK-17668:
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Summary: Support representing structs with case classes and tuples in spark
sql udf inputs
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https://issues.apache.org/jira/browse/SPARK-17668?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15523989#comment-15523989
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koert kuipers commented on SPARK-17668:
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original conversation is here:
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