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Michael Armbrust updated SPARK-16275:
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Target Version/s: 2.3.0 (was: 2.2.0)
> Implement all the Hive fallback functions
>
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https://issues.apache.org/jira/browse/SPARK-12978?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-12978:
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Target Version/s: 2.3.0 (was: 2.2.0)
> Skip unnecessary final group-by when input data
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https://issues.apache.org/jira/browse/SPARK-16412?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-16412:
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Target Version/s: 2.3.0 (was: 2.2.0)
> Generate Java code that gets an array in each
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https://issues.apache.org/jira/browse/SPARK-4502?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-4502:
Target Version/s: 2.3.0 (was: 2.2.0)
> Spark SQL reads unneccesary nested fields from
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https://issues.apache.org/jira/browse/SPARK-16217?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-16217:
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Target Version/s: 2.3.0 (was: 2.2.0)
> Support SELECT INTO statement
>
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https://issues.apache.org/jira/browse/SPARK-18084?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-18084:
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Target Version/s: 2.3.0 (was: 2.2.0)
> write.partitionBy() does not recognize nested
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https://issues.apache.org/jira/browse/SPARK-17924?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-17924:
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Target Version/s: 2.3.0 (was: 2.2.0)
> Consolidate streaming and batch write path
>
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https://issues.apache.org/jira/browse/SPARK-19150?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-19150:
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Target Version/s: 2.3.0 (was: 2.2.0)
> completely support using hive as data source to
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https://issues.apache.org/jira/browse/SPARK-16452?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-16452:
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Target Version/s: 2.3.0 (was: 2.2.0)
> basic INFORMATION_SCHEMA support
>
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https://issues.apache.org/jira/browse/SPARK-16483?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-16483:
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Target Version/s: 2.3.0 (was: 2.2.0)
> Unifying struct fields and columns
>
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https://issues.apache.org/jira/browse/SPARK-16390?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-16390:
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Target Version/s: 2.3.0 (was: 2.2.0)
> Dataset API improvements
>
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https://issues.apache.org/jira/browse/SPARK-16196?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-16196:
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Target Version/s: 2.3.0 (was: 2.2.0)
> Optimize in-memory scan performance using
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https://issues.apache.org/jira/browse/SPARK-7768?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-7768:
Target Version/s: 2.3.0 (was: 2.2.0)
> Make user-defined type (UDT) API public
>
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https://issues.apache.org/jira/browse/SPARK-17203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-17203:
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Target Version/s: 2.3.0 (was: 2.2.0)
> data source options should always be case
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https://issues.apache.org/jira/browse/SPARK-19242?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-19242:
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Target Version/s: 2.3.0 (was: 2.2.0)
> SHOW CREATE TABLE should generate new syntax to
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https://issues.apache.org/jira/browse/SPARK-17528?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-17528:
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Target Version/s: 2.3.0 (was: 2.2.0)
> MutableProjection should not cache content from
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https://issues.apache.org/jira/browse/SPARK-16323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-16323:
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Target Version/s: 2.3.0 (was: 2.2.0)
> Avoid unnecessary cast when doing integral
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https://issues.apache.org/jira/browse/SPARK-20854?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-20854.
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Resolution: Fixed
https://github.com/apache/spark/pull/18086
> extend hint syntax to
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https://issues.apache.org/jira/browse/SPARK-15420?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-15420:
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Target Version/s: 2.3.0 (was: 2.2.0)
> Repartition and sort before Parquet writes
>
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https://issues.apache.org/jira/browse/SPARK-20940?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-20940:
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Target Version/s: 2.2.0
> AccumulatorV2 should not throw IllegalAccessError
>
Michael Armbrust created SPARK-20928:
Summary: Continuous Processing Mode for Structured Streaming
Key: SPARK-20928
URL: https://issues.apache.org/jira/browse/SPARK-20928
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-20462?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-20462:
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Component/s: (was: Input/Output)
DStreams
> Spark-Kinesis Direct
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https://issues.apache.org/jira/browse/SPARK-20843?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16026634#comment-16026634
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Michael Armbrust commented on SPARK-20843:
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I don't have much context here /cc [~zsxwing] and
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Michael Armbrust commented on SPARK-20897:
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Is this a regression? If so, can you please make
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https://issues.apache.org/jira/browse/SPARK-20865?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-20865:
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Description:
{code}
SparkSession
.builder
.master("local[*]")
Michael Armbrust created SPARK-20844:
Summary: Remove experimental from API and docs
Key: SPARK-20844
URL: https://issues.apache.org/jira/browse/SPARK-20844
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-20599?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-20599:
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Summary: ConsoleSink should work with write (batch) (was:
KafkaSourceProvider should
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https://issues.apache.org/jira/browse/SPARK-20666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-20666:
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Target Version/s: 2.2.0
> Flaky test - SparkListenerBus randomly failing
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https://issues.apache.org/jira/browse/SPARK-20376?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16003729#comment-16003729
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Michael Armbrust commented on SPARK-20376:
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/cc [~tdas]
> Make StateStoreProvider plugable
>
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https://issues.apache.org/jira/browse/SPARK-17939?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-17939:
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Target Version/s: 2.3.0 (was: 2.2.0)
> Spark-SQL Nullability: Optimizations vs.
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https://issues.apache.org/jira/browse/SPARK-20569?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-20569:
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Affects Version/s: 2.2.0
> RuntimeReplaceable functions accept invalid third parameter
>
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Michael Armbrust commented on SPARK-20569:
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[~rxin] this does seem like a bug.
>
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Michael Armbrust updated SPARK-20569:
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Summary: RuntimeReplaceable functions accept invalid third parameter (was:
In
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https://issues.apache.org/jira/browse/SPARK-19104?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-19104:
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Affects Version/s: 2.2.0
Target Version/s: 2.2.0
> CompileException with Map and
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https://issues.apache.org/jira/browse/SPARK-19104?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-19104:
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Description:
The following code will run with Spark 2.0.2 but not with Spark 2.1.0:
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https://issues.apache.org/jira/browse/SPARK-20570?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15995248#comment-15995248
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Michael Armbrust commented on SPARK-20570:
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Hmmm, I did push them, and they show up on the [asf
Michael Armbrust created SPARK-20567:
Summary: Failure to bind when using explode and collect_set in
streaming
Key: SPARK-20567
URL: https://issues.apache.org/jira/browse/SPARK-20567
Project:
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https://issues.apache.org/jira/browse/SPARK-20547?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-20547:
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Affects Version/s: 2.2.0
Target Version/s: 2.2.0
> ExecutorClassLoader's findClass
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https://issues.apache.org/jira/browse/SPARK-20364?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-20364:
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Target Version/s: 2.2.0
Priority: Critical (was: Major)
> Parquet predicate
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https://issues.apache.org/jira/browse/SPARK-18057?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15983820#comment-15983820
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Michael Armbrust commented on SPARK-18057:
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I guess I'd like to understand more about what
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https://issues.apache.org/jira/browse/SPARK-18057?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15979156#comment-15979156
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Michael Armbrust edited comment on SPARK-18057 at 4/21/17 9:10 PM:
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Michael Armbrust commented on SPARK-18057:
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Yes, 0.10.2.0 is the first release that promises
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Michael Armbrust commented on SPARK-18057:
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[~srowen], thanks for reporting, but based on the
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Michael Armbrust commented on SPARK-18057:
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If there are multiple reports of 0.10.2.0 being more
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https://issues.apache.org/jira/browse/SPARK-16548?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust reopened SPARK-16548:
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I'm not sure I agree. The default behavior for parsing corrupted JSON is to
return
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https://issues.apache.org/jira/browse/SPARK-18891?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust reopened SPARK-18891:
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> Support for specific collection types
> -
>
>
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Michael Armbrust resolved SPARK-18891.
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Resolution: Fixed
Fix Version/s: 2.2.0
> Support for specific collection types
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https://issues.apache.org/jira/browse/SPARK-20299?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15971491#comment-15971491
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Michael Armbrust commented on SPARK-20299:
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What input are you looking for?
>
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https://issues.apache.org/jira/browse/SPARK-16899?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-16899.
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Resolution: Not A Problem
This has been fixed. I believe you are using an old version
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Michael Armbrust updated SPARK-16899:
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Component/s: Structured Streaming
> Structured Streaming Checkpointing Example invalid
>
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https://issues.apache.org/jira/browse/SPARK-19067?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15963353#comment-15963353
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Michael Armbrust commented on SPARK-19067:
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No, this will be available in Spark 2.2.0
>
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https://issues.apache.org/jira/browse/SPARK-20216?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15956045#comment-15956045
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Michael Armbrust commented on SPARK-20216:
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I think it all runs on
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https://issues.apache.org/jira/browse/SPARK-20103?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-20103:
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Fix Version/s: 2.2.0
> Spark structured steaming from kafka - last message processed
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https://issues.apache.org/jira/browse/SPARK-20103?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15948035#comment-15948035
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Michael Armbrust commented on SPARK-20103:
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It is fixed in 2.2 but by [SPARK-19876].
> Spark
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Michael Armbrust updated SPARK-20103:
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Description:
When the application starts after a failure or a graceful shutdown, it is
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https://issues.apache.org/jira/browse/SPARK-20103?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-20103:
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Docs Text: (was: object StructuredStreaming {
def main(args: Array[String]): Unit = {
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https://issues.apache.org/jira/browse/SPARK-10816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15939156#comment-15939156
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Michael Armbrust commented on SPARK-10816:
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Just a quick note for people interested in this
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https://issues.apache.org/jira/browse/SPARK-18970?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-18970.
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Resolution: Fixed
Fix Version/s: 2.1.0
I'm going to close this, but please
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https://issues.apache.org/jira/browse/SPARK-17344?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust closed SPARK-17344.
Resolution: Won't Fix
Unless someone really wants to work on this, i think the fact that
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https://issues.apache.org/jira/browse/SPARK-19965?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-19965:
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Target Version/s: 2.2.0
> DataFrame batch reader may fail to infer partitions when
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https://issues.apache.org/jira/browse/SPARK-19767?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-19767:
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Component/s: (was: Structured Streaming)
DStreams
> API Doc pages
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https://issues.apache.org/jira/browse/SPARK-19013?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-19013.
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Resolution: Later
It seems like [HADOOP-13345] is the right solution here, but since
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https://issues.apache.org/jira/browse/SPARK-19788?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-19788.
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Resolution: Won't Fix
Thanks for the suggestion. However, as [~zsxwing] said, the
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https://issues.apache.org/jira/browse/SPARK-19932?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-19932.
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Resolution: Won't Fix
Thanks for working on this. While I think it would be helpful
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https://issues.apache.org/jira/browse/SPARK-19876?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust reassigned SPARK-19876:
Assignee: Tyson Condie
> Add OneTime trigger executor
>
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https://issues.apache.org/jira/browse/SPARK-19876?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-19876:
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Target Version/s: 2.2.0
> Add OneTime trigger executor
>
>
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https://issues.apache.org/jira/browse/SPARK-19989?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-19989:
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Description:
This test failed recently here:
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https://issues.apache.org/jira/browse/SPARK-19989?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-19989:
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Target Version/s: 2.2.0
> Flaky Test:
Michael Armbrust created SPARK-20063:
Summary: Trigger without delay when falling behind
Key: SPARK-20063
URL: https://issues.apache.org/jira/browse/SPARK-20063
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-20009?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15936876#comment-15936876
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Michael Armbrust commented on SPARK-20009:
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Yeah, the DDL format is certainly a lot easier to
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https://issues.apache.org/jira/browse/SPARK-19982?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15929275#comment-15929275
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Michael Armbrust commented on SPARK-19982:
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I'm not sure if changing weak to strong references
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https://issues.apache.org/jira/browse/SPARK-18057?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15922715#comment-15922715
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Michael Armbrust commented on SPARK-18057:
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So to summarize, it'll be unfortunate if Kafka
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https://issues.apache.org/jira/browse/SPARK-18057?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15905755#comment-15905755
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Michael Armbrust commented on SPARK-18057:
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It seems like we can upgrade the existing Kafka10
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https://issues.apache.org/jira/browse/SPARK-19888?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-19888:
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Component/s: (was: Spark Core)
DStreams
> Seeing offsets not
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https://issues.apache.org/jira/browse/SPARK-18055?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-18055:
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Target Version/s: 2.2.0
> Dataset.flatMap can't work with types from customized jar
>
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https://issues.apache.org/jira/browse/SPARK-18055?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust reassigned SPARK-18055:
Assignee: Michael Armbrust
> Dataset.flatMap can't work with types from
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https://issues.apache.org/jira/browse/SPARK-19813?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-19813:
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Target Version/s: 2.2.0
> maxFilesPerTrigger combo latestFirst may miss old files in
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https://issues.apache.org/jira/browse/SPARK-19690?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-19690:
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Priority: Critical (was: Major)
> Join a streaming DataFrame with a batch DataFrame may
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https://issues.apache.org/jira/browse/SPARK-18258?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-18258:
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Target Version/s: (was: 2.2.0)
> Sinks need access to offset representation
>
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https://issues.apache.org/jira/browse/SPARK-19715?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15883642#comment-15883642
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Michael Armbrust commented on SPARK-19715:
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This isn't a hypothetical. A user of structured
Michael Armbrust created SPARK-19721:
Summary: Good error message for version mismatch in log files
Key: SPARK-19721
URL: https://issues.apache.org/jira/browse/SPARK-19721
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-19715?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15881731#comment-15881731
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Michael Armbrust commented on SPARK-19715:
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[~lwlin] another file source features you might want
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https://issues.apache.org/jira/browse/SPARK-18057?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-18057:
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Summary: Update structured streaming kafka from 10.0.1 to 10.2.0 (was:
Update
Michael Armbrust created SPARK-19715:
Summary: Option to Strip Paths in FileSource
Key: SPARK-19715
URL: https://issues.apache.org/jira/browse/SPARK-19715
Project: Spark
Issue Type: New
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https://issues.apache.org/jira/browse/SPARK-19637?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15872470#comment-15872470
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Michael Armbrust commented on SPARK-19637:
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>From JSON is harder because the second argument is
Michael Armbrust created SPARK-19633:
Summary: FileSource read from FileSink
Key: SPARK-19633
URL: https://issues.apache.org/jira/browse/SPARK-19633
Project: Spark
Issue Type: New
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https://issues.apache.org/jira/browse/SPARK-19553?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15864326#comment-15864326
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Michael Armbrust commented on SPARK-19553:
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It seems like there are a couple of distinct feature
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https://issues.apache.org/jira/browse/SPARK-19477?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15861918#comment-15861918
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Michael Armbrust commented on SPARK-19477:
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If a lot of people are confused by this being lazy
Michael Armbrust created SPARK-19497:
Summary: dropDuplicates with watermark
Key: SPARK-19497
URL: https://issues.apache.org/jira/browse/SPARK-19497
Project: Spark
Issue Type: New
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https://issues.apache.org/jira/browse/SPARK-19478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-19478:
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Issue Type: New Feature (was: Bug)
> JDBC Sink
> -
>
> Key:
Michael Armbrust created SPARK-19478:
Summary: JDBC Sink
Key: SPARK-19478
URL: https://issues.apache.org/jira/browse/SPARK-19478
Project: Spark
Issue Type: Bug
Components:
Title: Message Title
Michael Armbrust commented on SPARK-16454
Title: Message Title
Michael Armbrust updated an issue
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https://issues.apache.org/jira/browse/SPARK-18682?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-18682:
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Assignee: Tyson Condie
> Batch Source for Kafka
> --
>
>
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https://issues.apache.org/jira/browse/SPARK-18475?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust closed SPARK-18475.
Resolution: Won't Fix
> Be able to provide higher parallelization for StructuredStreaming
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https://issues.apache.org/jira/browse/SPARK-18970?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-18970:
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Description:
Spark streaming application uses S3 files as streaming sources. After
Michael Armbrust created SPARK-19067:
Summary: mapWithState Style API
Key: SPARK-19067
URL: https://issues.apache.org/jira/browse/SPARK-19067
Project: Spark
Issue Type: New Feature
Michael Armbrust created SPARK-19065:
Summary: Bad error when using dropDuplicates in Streaming
Key: SPARK-19065
URL: https://issues.apache.org/jira/browse/SPARK-19065
Project: Spark
Michael Armbrust created SPARK-19031:
Summary: JDBC Streaming Source
Key: SPARK-19031
URL: https://issues.apache.org/jira/browse/SPARK-19031
Project: Spark
Issue Type: New Feature
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https://issues.apache.org/jira/browse/SPARK-17344?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-17344:
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Target Version/s: (was: 2.1.1)
> Kafka 0.8 support for Structured Streaming
>
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