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feiwang updated SPARK-26999:
Attachment: SPARK-26999.png
> SparkSQL CLIDriver parses sql statement incorrectly
>
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feiwang resolved SPARK-26999.
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Resolution: Duplicate
> SparkSQL CLIDriver parses sql statement incorrectly
>
feiwang created SPARK-26999:
---
Summary: SparkSQL CLIDriver parses sql statement incorrectly
Key: SPARK-26999
URL: https://issues.apache.org/jira/browse/SPARK-26999
Project: Spark
Issue Type: Bug
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feiwang updated SPARK-26999:
Description:
SparkSQLCLIDriver parse sql statement incorrectly, because its processLine
method is not
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feiwang updated SPARK-26999:
Description:
SparkSQLCLIDriver parse sql statement incorrectly, because its processLine
method is not
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https://issues.apache.org/jira/browse/SPARK-26999?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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feiwang updated SPARK-26999:
Description:
SparkSQLCLIDriver parse sql statement incorrectly, because its processLine
method is not
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https://issues.apache.org/jira/browse/SPARK-4105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16790258#comment-16790258
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feiwang commented on SPARK-4105:
Is there anyone see these errors in latest version such as spark-2.3?
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feiwang edited comment on SPARK-4105 at 3/12/19 6:03 AM:
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Is there anyone see
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feiwang updated SPARK-27247:
Description:
Catalyst cache some logic plan.
During relationConversions(Relation conversion from
feiwang created SPARK-27247:
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Summary: [SQL]If the logicPlan get from cached is invalid,
invalid it and rertry instead of assert error directly
Key: SPARK-27247
URL: https://issues.apache.org/jira/browse/SPARK-27247
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feiwang updated SPARK-27247:
Description:
Catalyst cache some logic plan.
During relationConversions(Relation conversion from
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https://issues.apache.org/jira/browse/SPARK-26795?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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feiwang closed SPARK-26795.
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> Retry remote fileSegmentManagedBuffer when creating inputStream failed during
> shuffle read phase
>
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feiwang resolved SPARK-26795.
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Resolution: Not A Problem
> Retry remote fileSegmentManagedBuffer when creating inputStream failed
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feiwang updated SPARK-26795:
Fix Version/s: (was: 2.4.1)
2.3.0
2.3.1
2.3.2
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feiwang updated SPARK-26795:
Summary: Retry remote fileSegmentManagedBuffer when create inputStream
failed during shuffle read phase
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feiwang updated SPARK-26795:
Flags: Patch
Target Version/s: 2.4.0, 2.3.2 (was: 2.3.2, 2.4.0)
> Retry remote
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feiwang updated SPARK-26795:
Shepherd: (was: feiwang)
Target Version/s: 2.4.0, 2.3.2 (was: 2.3.2, 2.4.0)
> During
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feiwang updated SPARK-26795:
Target Version/s: 2.4.0, 2.3.2 (was: 2.3.2, 2.4.0)
Fix Version/s: (was: 2.3.2)
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feiwang updated SPARK-26795:
Affects Version/s: 2.4.0
> Retry remote fileSegmentManagedBuffer when create inputStream during shuffle
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feiwang updated SPARK-26795:
Summary: Retry remote fileSegmentManagedBuffer when create inputStream
during shuffle read phase (was:
feiwang created SPARK-26795:
---
Summary: During shuffle read phase, the managedBuffer which throw
IOException may be a remote download FileSegment and should be retry instead of
throwFetchFailed directly.
Key: SPARK-26795
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feiwang updated SPARK-26795:
Description: During shuffle read phase, the managedBuffer which throw
IOException may be a remote
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feiwang updated SPARK-26795:
Summary: Retry remote fileSegmentManagedBuffer when creating inputStream
failed during shuffle read phase
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feiwang updated SPARK-26795:
Description:
There is a parameter spark.maxRemoteBlockSizeFetchToMem, which means the remote
block will
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feiwang updated SPARK-26795:
Description:
There is a parameter `spark.maxRemoteBlockSizeFetchToMem`, which means the
remote block
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feiwang updated SPARK-26795:
Description:
There is a parameter *spark.maxRemoteBlockSizeFetchToMem*, which means the
remote block
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feiwang updated SPARK-26795:
Description:
There is a parameter spark.maxRemoteBlockSizeFetchToMem, which means the remote
block will
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https://issues.apache.org/jira/browse/SPARK-26795?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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feiwang updated SPARK-26795:
Target Version/s: 2.4.0, 2.3.2 (was: 2.3.2, 2.4.0)
Labels: shuffle (was: )
> Retry remote
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feiwang updated SPARK-26795:
Labels: (was: shuffle)
> Retry remote fileSegmentManagedBuffer when creating inputStream failed during
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https://issues.apache.org/jira/browse/SPARK-27637?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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feiwang updated SPARK-27637:
Affects Version/s: (was: 2.4.2)
(was: 2.3.2)
2.3.3
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feiwang updated SPARK-27637:
Component/s: (was: Block Manager)
> If exception occured while fetching blocks by netty block
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feiwang updated SPARK-27637:
Component/s: Shuffle
> If exception occured while fetching blocks by netty block transfer service,
>
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feiwang commented on SPARK-27614:
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You can propose a PR to spark. It seems meaningful.
> Executor
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feiwang updated SPARK-27614:
Comment: was deleted
(was: You can propose a PR to spark. It seems meaningful.)
> Executor shuffle fetch
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https://issues.apache.org/jira/browse/SPARK-27876?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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feiwang updated SPARK-27876:
Affects Version/s: (was: 3.1.0)
(was: 2.4.3)
2.3.2
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feiwang updated SPARK-27876:
Description:
There is a limit for shuffle read.
If a shuffle partition block's size is large than
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feiwang updated SPARK-27876:
Description:
There is a limit for shuffle read.
If a shuffle partition block's size is large than
feiwang created SPARK-27876:
---
Summary: [CORE][SHUFFLE] Split large shuffle partition to
multi-segments to enable transfer oversize shuffle partition block.
Key: SPARK-27876
URL:
feiwang created SPARK-27716:
---
Summary: Complete the transactions support for part of jdbc
datasource operation
Key: SPARK-27716
URL: https://issues.apache.org/jira/browse/SPARK-27716
Project: Spark
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feiwang updated SPARK-27716:
Summary: Complete the transactions support for part of jdbc datasource
operations. (was: Complete the
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feiwang updated SPARK-27716:
Description:
With the jdbc datasource, we can save a rdd to the database.
The comments for the function
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feiwang updated SPARK-27716:
Description:
With the jdbc datasource, we can save a rdd to the database.
The comments for the function
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feiwang updated SPARK-27716:
Labels: pull-request-available (was: )
> Complete the transactions support for part of jdbc datasource
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https://issues.apache.org/jira/browse/SPARK-27814?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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feiwang updated SPARK-27814:
Description:
For a partitioned table, such as:
{code:sql}
table test (c1 int, c2 string) partitioned by
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https://issues.apache.org/jira/browse/SPARK-27814?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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feiwang updated SPARK-27814:
Description:
For a partitioned table, such as:
{code:sql}
table test (c1 int, c2 string) partitioned by
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https://issues.apache.org/jira/browse/SPARK-27814?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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feiwang updated SPARK-27814:
Description:
For a partitioned table, such as:
table test (c1 int, c2 string) partitioned by (c3 Int)
If
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https://issues.apache.org/jira/browse/SPARK-27814?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16846544#comment-16846544
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feiwang commented on SPARK-27814:
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I will resolve it recently.
> The cast operation may push down
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feiwang updated SPARK-27814:
Summary: The cast operation may push down uncorrect filter, which is fatal.
(was: The cast operation may
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feiwang updated SPARK-27814:
Summary: The cast operation for partitioned column may push down uncorrect
filter, which is fatal. (was:
feiwang created SPARK-27814:
---
Summary: The cast operation may push down an correct filter, which
is fatal.
Key: SPARK-27814
URL: https://issues.apache.org/jira/browse/SPARK-27814
Project: Spark
feiwang created SPARK-27515:
---
Summary: [Deploy] When application master retry after a long time
running, the hdfs delegation token may be expired
Key: SPARK-27515
URL: https://issues.apache.org/jira/browse/SPARK-27515
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feiwang updated SPARK-27515:
Description:
When submit a spark yarn application, we first create a container launch
context and store
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feiwang updated SPARK-27515:
Description:
When submit a spark yarn application, we first create a container launch
context and store
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feiwang updated SPARK-27515:
Description:
When submit a spark yarn application, we first create a container launch
context and store
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https://issues.apache.org/jira/browse/SPARK-27515?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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feiwang updated SPARK-27515:
Description:
When submit a spark yarn application, we first create a container launch
context and store
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https://issues.apache.org/jira/browse/SPARK-27637?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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feiwang updated SPARK-27637:
Affects Version/s: 2.4.2
> If exception occured while fetching blocks by netty block transfer service,
feiwang created SPARK-27637:
---
Summary: If exception occured while fetching blocks by netty
block transfer service, check whether the relative executor is alive before
retry
Key: SPARK-27637
URL:
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feiwang updated SPARK-27637:
Description:
There are several kinds of shuffle client, blockTransferService and
externalShuffleClient.
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https://issues.apache.org/jira/browse/SPARK-28194?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16878664#comment-16878664
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feiwang commented on SPARK-28194:
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{code:java}
create table if not exists test.nga(ac1 string, ac2
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feiwang updated SPARK-28194:
Description:
{code:java}
java.util.NoSuchElementException: None.get
at
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feiwang updated SPARK-28194:
Summary: [SQL] A NoSuchElementException maybe thrown when EnsureRequirement
(was: a
feiwang created SPARK-28194:
---
Summary: a NoSuchElementException maybe thrown when
EnsureRequirement
Key: SPARK-28194
URL: https://issues.apache.org/jira/browse/SPARK-28194
Project: Spark
Issue
feiwang created SPARK-27562:
---
Summary: Complete the verification mechanism for shuffle
transmitted data
Key: SPARK-27562
URL: https://issues.apache.org/jira/browse/SPARK-27562
Project: Spark
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feiwang updated SPARK-27562:
Description: I will update this lately.
> Complete the verification mechanism for shuffle transmitted
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feiwang updated SPARK-27562:
Description:
We've seen some shuffle data corruption during shuffle read phase.
As described in
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feiwang updated SPARK-27562:
Description:
SPARK-27562
We've seen some shuffle data corruption during shuffle read phase.
As
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https://issues.apache.org/jira/browse/SPARK-27562?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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feiwang updated SPARK-27562:
Description:
We've seen some shuffle data corruption during shuffle read phase.
As described in
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feiwang commented on SPARK-27562:
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[~irashid]
> Complete the verification mechanism for shuffle
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feiwang edited comment on SPARK-27562 at 4/26/19 2:57 AM:
--
[~irashid] What is
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feiwang updated SPARK-29000:
Description:
When we set spark.sql.decimalOperations.allowPrecisionLoss=false.
For the sql below, the
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feiwang updated SPARK-29000:
Description:
When we set spark.sql.decimalOperations.allowPrecisionLoss=false.
For the sql below, the
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feiwang updated SPARK-29000:
Attachment: screenshot-1.png
> [SQL] Decimal precision overflow when don't allow precision loss
>
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feiwang updated SPARK-29000:
Description:
When we set spark.sql.decimalOperations.allowPrecisionLoss=false.
For the sql below, the
feiwang created SPARK-29000:
---
Summary: [SQL] Decimal precision overflow when don't allow
precision loss
Key: SPARK-29000
URL: https://issues.apache.org/jira/browse/SPARK-29000
Project: Spark
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feiwang updated SPARK-29000:
Description:
When we set spark.sql.decimalOperations.allowPrecisionLoss=false.
For the sql below, the
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https://issues.apache.org/jira/browse/SPARK-29010?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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feiwang updated SPARK-29010:
Description:
Even I set spark.sql.decimalOperations.allowPrecisionLoss=false.
It will still lost
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feiwang updated SPARK-29010:
Attachment: screenshot-1.png
> [SQL] Cast Decimal to double may lost precision
>
feiwang created SPARK-29010:
---
Summary: [SQL] Cast Decimal to double may lost precision
Key: SPARK-29010
URL: https://issues.apache.org/jira/browse/SPARK-29010
Project: Spark
Issue Type: Bug
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feiwang resolved SPARK-29010.
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Resolution: Not A Bug
> [SQL] Cast Decimal to double may lost precision
>
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https://issues.apache.org/jira/browse/SPARK-29037?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16928168#comment-16928168
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feiwang commented on SPARK-29037:
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This committedTaskPath is hard coded in FileOutputCommitter class.
>
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feiwang commented on SPARK-29037:
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If we have several applications, which insert overwrite a partition
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feiwang commented on SPARK-29037:
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This is the unit test log.
!screenshot-1.png!
We can see that, the
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feiwang updated SPARK-29037:
Attachment: screenshot-1.png
> [Core] Spark gives duplicate result when an application was killed and
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feiwang updated SPARK-29037:
Description:
When we insert overwrite a partition of table.
For a stage, whose tasks commit output, a
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feiwang updated SPARK-29037:
Comment: was deleted
(was: If we have several applications, which insert overwrite a partition of
same
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feiwang commented on SPARK-29037:
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[~cloud_fan]
> [Core] Spark gives duplicate result when an
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feiwang updated SPARK-29037:
Affects Version/s: 2.3.3
> [Core] Spark gives duplicate result when an application was killed and rerun
>
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feiwang updated SPARK-29037:
Description:
When we insert overwrite a partition of table.
For a stage, whose tasks commit output, a
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https://issues.apache.org/jira/browse/SPARK-29037?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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feiwang updated SPARK-29037:
Description:
When we insert overwrite a partition of table.
For a stage, whose tasks commit output, a
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feiwang commented on SPARK-29037:
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If we set
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feiwang commented on SPARK-29037:
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But for the version 2, it may produce partial result when we kill an
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feiwang commented on SPARK-29037:
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[~advancedxy]
1. We re-submit the same application again.
We meet
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feiwang commented on SPARK-29037:
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In detail, I think we need change the logic of
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feiwang updated SPARK-29037:
Comment: was deleted
(was: In detail, I think we need change the logic of
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feiwang commented on SPARK-29037:
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The implementation of InsertIntoHiveTable prevent reuse same
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feiwang edited comment on SPARK-29037 at 9/12/19 2:39 PM:
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[~advancedxy]
1.
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feiwang edited comment on SPARK-29037 at 9/12/19 3:49 PM:
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[~advancedxy]
Thanks
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feiwang edited comment on SPARK-29037 at 9/12/19 4:17 PM:
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[~advancedxy]
1.
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feiwang edited comment on SPARK-29037 at 9/12/19 3:48 PM:
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[~advancedxy]
I just
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feiwang edited comment on SPARK-29037 at 9/12/19 3:58 PM:
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[~advancedxy]
Thanks
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