Burak Yavuz created SPARK-21977:
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Summary: SinglePartition optimizations break certain StateStore
requirements
Key: SPARK-21977
URL: https://issues.apache.org/jira/browse/SPARK-21977
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-21977?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz reassigned SPARK-21977:
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Assignee: Burak Yavuz
> SinglePartition optimizations break certain StateStore requirements
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Burak Yavuz updated SPARK-21977:
Description: This is a bit hard to explain as there are several issues here
> SinglePartition
Burak Yavuz created SPARK-21925:
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Summary: Update trigger interval documentation in docs with
behavior change in Spark 2.2
Key: SPARK-21925
URL: https://issues.apache.org/jira/browse/SPARK-21925
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https://issues.apache.org/jira/browse/SPARK-21590?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-21590:
Issue Type: Improvement (was: Bug)
> Structured Streaming window start time should support
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https://issues.apache.org/jira/browse/SPARK-21590?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16118560#comment-16118560
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Burak Yavuz commented on SPARK-21590:
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Ah, I apologize, I thought the other way around (you had data
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Burak Yavuz commented on SPARK-21590:
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[~KevinZwx] there's nothing wrong. It works as it needs to
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https://issues.apache.org/jira/browse/SPARK-21588?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16113519#comment-16113519
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Burak Yavuz commented on SPARK-21588:
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that's what I was proposing. `null` seemed more familiar than
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Burak Yavuz commented on SPARK-21588:
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[~vinodkc] [~aokolnychyi]
It happens when the config has a
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Burak Yavuz commented on SPARK-21590:
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There are tests to make sure it supports "negative" timestamps
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Burak Yavuz commented on SPARK-21590:
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Does it output incorrect results if you provide `+16 hours`
Burak Yavuz created SPARK-21588:
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Summary: SQLContext.getConf(key, null) should return null, but it
throws NPE
Key: SPARK-21588
URL: https://issues.apache.org/jira/browse/SPARK-21588
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-21463?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz reassigned SPARK-21463:
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Assignee: Burak Yavuz
> Output of StructuredStreaming tables don't respect user specified
Burak Yavuz created SPARK-21463:
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Summary: Output of StructuredStreaming tables don't respect user
specified schema when reading back the table
Key: SPARK-21463
URL:
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https://issues.apache.org/jira/browse/SPARK-21445?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz reassigned SPARK-21445:
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Assignee: Burak Yavuz
> NotSerializableException thrown by UTF8String.IntWrapper
>
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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https://issues.apache.org/jira/browse/SPARK-21370?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-21370:
Description:
During Streaming Aggregation, we have two StateStores per task, one used as
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Burak Yavuz reopened SPARK-21370:
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> Avoid doing anything on HDFSBackedStateStore.abort() when there are no
> updates to commit
>
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Burak Yavuz updated SPARK-21370:
Issue Type: Test (was: Improvement)
> Avoid doing anything on HDFSBackedStateStore.abort() when
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Burak Yavuz closed SPARK-21370.
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Resolution: Not A Problem
> Avoid doing anything on HDFSBackedStateStore.abort() when there are no
Burak Yavuz created SPARK-21370:
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Summary: Clarify In-Memory State Store purpose (read-only,
read-write) with an additional state
Key: SPARK-21370
URL: https://issues.apache.org/jira/browse/SPARK-21370
Burak Yavuz created SPARK-21216:
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Summary: Streaming DataFrames fail to join with Hive tables
Key: SPARK-21216
URL: https://issues.apache.org/jira/browse/SPARK-21216
Project: Spark
Issue Type:
Burak Yavuz created SPARK-21153:
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Summary: Time windowing for tumbling windows can use a project
instead of expand + filter
Key: SPARK-21153
URL: https://issues.apache.org/jira/browse/SPARK-21153
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https://issues.apache.org/jira/browse/SPARK-20708?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz resolved SPARK-20708.
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Resolution: Fixed
Assignee: Dongjoon Hyun
Fix Version/s: 2.3.0
> Make
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https://issues.apache.org/jira/browse/SPARK-20708?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16032475#comment-16032475
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Burak Yavuz commented on SPARK-20708:
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Resolved by https://github.com/apache/spark/pull/17947
> Make
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https://issues.apache.org/jira/browse/SPARK-20140?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz resolved SPARK-20140.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
> Remove hardcoded
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Burak Yavuz reassigned SPARK-20140:
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Assignee: Yash Sharma
> Remove hardcoded kinesis retry wait and max retries
>
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https://issues.apache.org/jira/browse/SPARK-20140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16013191#comment-16013191
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Burak Yavuz commented on SPARK-20140:
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resolved by https://github.com/apache/spark/pull/17467
>
Burak Yavuz created SPARK-20775:
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Summary: from_json should also have an API where the schema is
specified with a string
Key: SPARK-20775
URL: https://issues.apache.org/jira/browse/SPARK-20775
Project:
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https://issues.apache.org/jira/browse/SPARK-20571?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15998680#comment-15998680
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Burak Yavuz commented on SPARK-20571:
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Thanks!
> Flaky SparkR StructuredStreaming tests
>
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Burak Yavuz resolved SPARK-20441.
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Resolution: Fixed
Resolved with https://github.com/apache/spark/pull/17735
> Within the same
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https://issues.apache.org/jira/browse/SPARK-20432?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz closed SPARK-20432.
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Resolution: Duplicate
> Unioning two identical Streaming DataFrames fails during attribute
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https://issues.apache.org/jira/browse/SPARK-20571?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15994185#comment-15994185
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Burak Yavuz commented on SPARK-20571:
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cc [~felixcheung]
> Flaky SparkR StructuredStreaming tests
>
Burak Yavuz created SPARK-20571:
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Summary: Flaky SparkR StructuredStreaming tests
Key: SPARK-20571
URL: https://issues.apache.org/jira/browse/SPARK-20571
Project: Spark
Issue Type: Test
Burak Yavuz created SPARK-20549:
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Summary: java.io.CharConversionException: Invalid UTF-32 in
JsonToStructs
Key: SPARK-20549
URL: https://issues.apache.org/jira/browse/SPARK-20549
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-20496?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz resolved SPARK-20496.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.2
Resolved with
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https://issues.apache.org/jira/browse/SPARK-20496?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz reassigned SPARK-20496:
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Assignee: Bill Chambers
> KafkaWriter Uses Unanalyzed Logical Plan
>
Burak Yavuz created SPARK-20432:
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Summary: Unioning two identical Streaming DataFrames fails during
attribute resolution
Key: SPARK-20432
URL: https://issues.apache.org/jira/browse/SPARK-20432
Project:
Burak Yavuz created SPARK-20301:
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Summary: Flakiness in StreamingAggregationSuite
Key: SPARK-20301
URL: https://issues.apache.org/jira/browse/SPARK-20301
Project: Spark
Issue Type: Test
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Burak Yavuz updated SPARK-20301:
Labels: flaky-test (was: )
> Flakiness in StreamingAggregationSuite
>
Burak Yavuz created SPARK-20230:
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Summary: FetchFailedExceptions should invalidate file caches in
MapOutputTracker even if newer stages are launched
Key: SPARK-20230
URL:
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https://issues.apache.org/jira/browse/SPARK-19911?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz resolved SPARK-19911.
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Resolution: Fixed
Assignee: Adam Budde
Fix Version/s: 2.2.0
Target
Burak Yavuz created SPARK-19886:
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Summary: reportDataLoss cause != null check is wrong for
Structured Streaming KafkaSource
Key: SPARK-19886
URL: https://issues.apache.org/jira/browse/SPARK-19886
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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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Burak Yavuz resolved SPARK-19813.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
> maxFilesPerTrigger
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https://issues.apache.org/jira/browse/SPARK-19304?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz resolved SPARK-19304.
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Resolution: Fixed
Fix Version/s: 2.2.0
Target Version/s: 2.2.0
Resolved by:
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https://issues.apache.org/jira/browse/SPARK-19304?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz reassigned SPARK-19304:
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Assignee: Gaurav Shah
> Kinesis checkpoint recovery is 10x slow
>
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https://issues.apache.org/jira/browse/SPARK-19595?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz resolved SPARK-19595.
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Resolution: Fixed
Fix Version/s: 2.2.0
Resolved by
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https://issues.apache.org/jira/browse/SPARK-19595?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz reassigned SPARK-19595:
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Assignee: Hyukjin Kwon
> from_json produces only a single row when input is a json array
>
Burak Yavuz created SPARK-19813:
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Summary: maxFilesPerTrigger combo latestFirst may miss old files
in combination with maxFileAge in FileStreamSource
Key: SPARK-19813
URL:
Burak Yavuz created SPARK-19774:
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Summary: StreamExecution should call stop() on sources when a
stream fails
Key: SPARK-19774
URL: https://issues.apache.org/jira/browse/SPARK-19774
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-19405?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz resolved SPARK-19405.
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Resolution: Fixed
Assignee: Adam Budde
Fix Version/s: 2.2.0
Resolved with:
Burak Yavuz created SPARK-19637:
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Summary: add to_json APIs to SQL
Key: SPARK-19637
URL: https://issues.apache.org/jira/browse/SPARK-19637
Project: Spark
Issue Type: New Feature
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https://issues.apache.org/jira/browse/SPARK-19542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz resolved SPARK-19542.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
> Delete the temp
Burak Yavuz created SPARK-19543:
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Summary: from_json fails when the input row is empty
Key: SPARK-19543
URL: https://issues.apache.org/jira/browse/SPARK-19543
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-18218?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-18218:
Assignee: Weichen Xu
> Optimize BlockMatrix multiplication, which may cause OOM and low
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https://issues.apache.org/jira/browse/SPARK-18218?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz resolved SPARK-18218.
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Resolution: Implemented
Fix Version/s: 2.2.0
Resolved by
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https://issues.apache.org/jira/browse/SPARK-19378?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-19378:
Description:
If you have a StreamingDataFrame with an aggregation, we report a metric called
Burak Yavuz created SPARK-19378:
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Summary: StateOperator metrics should still return the total
number of rows in state even if there was no data for a trigger
Key: SPARK-19378
URL:
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https://issues.apache.org/jira/browse/SPARK-18020?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-18020:
Assignee: Takeshi Yamamuro
> Kinesis receiver does not snapshot when shard completes
>
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https://issues.apache.org/jira/browse/SPARK-18020?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz resolved SPARK-18020.
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Resolution: Fixed
Fix Version/s: 2.2.0
Resolved by
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https://issues.apache.org/jira/browse/SPARK-18952?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-18952:
Summary: regex strings not properly escaped in codegen for aggregations
(was: regex strings not
Burak Yavuz created SPARK-18952:
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Summary: regex strings not properly escaped in codegen
Key: SPARK-18952
URL: https://issues.apache.org/jira/browse/SPARK-18952
Project: Spark
Issue Type: Bug
Burak Yavuz created SPARK-18927:
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Summary: MemorySink for StructuredStreaming can't recover from
checkpoint if location is provided in conf
Key: SPARK-18927
URL: https://issues.apache.org/jira/browse/SPARK-18927
Burak Yavuz created SPARK-18900:
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Summary: Flaky Test: StateStoreSuite.maintenance
Key: SPARK-18900
URL: https://issues.apache.org/jira/browse/SPARK-18900
Project: Spark
Issue Type: Test
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https://issues.apache.org/jira/browse/SPARK-1?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-1:
Affects Version/s: (was: 2.1.0)
2.0.2
> partitionBy in DataStreamWriter
Burak Yavuz created SPARK-1:
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Summary: partitionBy in DataStreamWriter in Python throws _to_seq
not defined
Key: SPARK-1
URL: https://issues.apache.org/jira/browse/SPARK-1
Project: Spark
Burak Yavuz created SPARK-18868:
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Summary: Flaky Test: StreamingQueryListenerSuite
Key: SPARK-18868
URL: https://issues.apache.org/jira/browse/SPARK-18868
Project: Spark
Issue Type: Test
Burak Yavuz created SPARK-18811:
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Summary: Stream Source resolution should happen in StreamExecution
thread, not main thread
Key: SPARK-18811
URL: https://issues.apache.org/jira/browse/SPARK-18811
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https://issues.apache.org/jira/browse/SPARK-18475?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15706788#comment-15706788
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Burak Yavuz commented on SPARK-18475:
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I'd be happy to share performance results. You're right, I
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https://issues.apache.org/jira/browse/SPARK-18634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-18634:
Description:
There are some weird issues with exploding Python UDFs in SparkSQL.
There are 2
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https://issues.apache.org/jira/browse/SPARK-18634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-18634:
Description:
There are some weird issues with exploding Python UDFs in SparkSQL.
There are 2
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https://issues.apache.org/jira/browse/SPARK-18634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-18634:
Summary: Corruption and Correctness issues with exploding Python UDFs
(was: Issues with exploding
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https://issues.apache.org/jira/browse/SPARK-18634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-18634:
Description:
There are some weird issues with exploding Python UDFs in SparkSQL.
There are 2
Burak Yavuz created SPARK-18634:
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Summary: Issues with exploding Python UDFs
Key: SPARK-18634
URL: https://issues.apache.org/jira/browse/SPARK-18634
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-18407?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15696337#comment-15696337
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Burak Yavuz commented on SPARK-18407:
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This is also resolved as part of
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https://issues.apache.org/jira/browse/SPARK-18510?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15681677#comment-15681677
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Burak Yavuz commented on SPARK-18510:
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No. Working on a separate fix
> Partition schema inference
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https://issues.apache.org/jira/browse/SPARK-18510?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15680328#comment-15680328
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Burak Yavuz commented on SPARK-18510:
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cc [~r...@databricks.com] I marked this as a blocker as it is
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Burak Yavuz updated SPARK-18510:
Description:
Not sure if this is a regression from 2.0 to 2.1. I was investigating this for
Burak Yavuz created SPARK-18510:
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Summary: Partition schema inference corrupts data
Key: SPARK-18510
URL: https://issues.apache.org/jira/browse/SPARK-18510
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-18218?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15677367#comment-15677367
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Burak Yavuz commented on SPARK-18218:
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[~WeichenXu123] You are correct, this would be a problem. But
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https://issues.apache.org/jira/browse/SPARK-18493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-18493:
Component/s: PySpark
> Add withWatermark and checkpoint to python dataframe
>
Burak Yavuz created SPARK-18493:
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Summary: Add withWatermark and checkpoint to python dataframe
Key: SPARK-18493
URL: https://issues.apache.org/jira/browse/SPARK-18493
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-18475?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15674535#comment-15674535
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Burak Yavuz commented on SPARK-18475:
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[~c...@koeninger.org] I don't see where you may need strict
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https://issues.apache.org/jira/browse/SPARK-18475?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15674254#comment-15674254
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Burak Yavuz commented on SPARK-18475:
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[~ofirm] Thanks for your comment. I've seen significant
Burak Yavuz created SPARK-18475:
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Summary: Be able to provide higher parallelization for
StructuredStreaming Kafka Source
Key: SPARK-18475
URL: https://issues.apache.org/jira/browse/SPARK-18475
Burak Yavuz created SPARK-18465:
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Summary: Uncache Table shouldn't throw an exception when table
doesn't exist
Key: SPARK-18465
URL: https://issues.apache.org/jira/browse/SPARK-18465
Project: Spark
Burak Yavuz created SPARK-18342:
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Summary: HDFSBackedStateStore can fail to rename files causing
snapshotting and recovery to fail
Key: SPARK-18342
URL: https://issues.apache.org/jira/browse/SPARK-18342
Burak Yavuz created SPARK-18339:
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Summary: Don't push down current_timestamp for filters in
StructuredStreaming
Key: SPARK-18339
URL: https://issues.apache.org/jira/browse/SPARK-18339
Project: Spark
Burak Yavuz created SPARK-18337:
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Summary: Memory Sink should be able to recover from checkpoints in
Complete OutputMode
Key: SPARK-18337
URL: https://issues.apache.org/jira/browse/SPARK-18337
Project:
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https://issues.apache.org/jira/browse/SPARK-18261?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15635014#comment-15635014
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Burak Yavuz commented on SPARK-18261:
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Go for it!
> Add statistics to MemorySink for joining
>
Burak Yavuz created SPARK-18261:
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Summary: Add statistics to MemorySink for joining
Key: SPARK-18261
URL: https://issues.apache.org/jira/browse/SPARK-18261
Project: Spark
Issue Type: New
Burak Yavuz created SPARK-18260:
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Summary: from_json can throw a better exception when it can't find
the column or be nullSafe
Key: SPARK-18260
URL: https://issues.apache.org/jira/browse/SPARK-18260
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https://issues.apache.org/jira/browse/SPARK-17879?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15627421#comment-15627421
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Burak Yavuz commented on SPARK-17879:
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We should be doing the second. What you said makes sense, we
Burak Yavuz created SPARK-18142:
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Summary: Spark Master tries to launch workers 145 times within 1
minute
Key: SPARK-18142
URL: https://issues.apache.org/jira/browse/SPARK-18142
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-18142?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-18142:
Component/s: Spark Core
> Spark Master tries to launch workers 145 times within 1 minute
>
Burak Yavuz created SPARK-17921:
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Summary: checkpointLocation being set in memory streams fail after
restart. Should fail fast
Key: SPARK-17921
URL: https://issues.apache.org/jira/browse/SPARK-17921
Burak Yavuz created SPARK-17879:
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Summary: Don't compact metadata logs constantly into a single
compacted file
Key: SPARK-17879
URL: https://issues.apache.org/jira/browse/SPARK-17879
Project: Spark
Burak Yavuz created SPARK-17876:
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Summary: Write StructuredStreaming WAL to a stream instead of
materializing all at once
Key: SPARK-17876
URL: https://issues.apache.org/jira/browse/SPARK-17876
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https://issues.apache.org/jira/browse/SPARK-17754?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-17754:
Component/s: Web UI
SQL
> DataFrame reader and writer don't show Input/Output
Burak Yavuz created SPARK-17754:
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Summary: DataFrame reader and writer don't show Input/Output
metrics in Spark UI
Key: SPARK-17754
URL: https://issues.apache.org/jira/browse/SPARK-17754
Project: Spark
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