angerszhu created SPARK-36340:
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Summary: V2 Insert data check filed name
Key: SPARK-36340
URL: https://issues.apache.org/jira/browse/SPARK-36340
Project: Spark
Issue Type: Sub-task
Com
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Apache Spark commented on SPARK-36338:
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User 'HyukjinKwon' has created a pull reque
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Apache Spark reassigned SPARK-36338:
Assignee: Apache Spark
> Move distributed-sequence implementation to Scala side
> ---
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Apache Spark reassigned SPARK-36338:
Assignee: (was: Apache Spark)
> Move distributed-sequence implementation to Scala sid
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Apache Spark commented on SPARK-36338:
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User 'HyukjinKwon' has created a pull reque
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Izek Greenfield updated SPARK-36329:
Description:
For now show is:
{code:scala}
def show(numRows: Int, truncate: Boolean): Unit
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Max Gekk resolved SPARK-36323.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 33551
[https://github.com
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Apache Spark commented on SPARK-35806:
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User 'itholic' has created a pull request f
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Apache Spark commented on SPARK-35806:
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User 'itholic' has created a pull request f
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Apache Spark reassigned SPARK-36335:
Assignee: Apache Spark
> Document local-cluster mode option in developper tools doc
> ---
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Apache Spark reassigned SPARK-36335:
Assignee: (was: Apache Spark)
> Document local-cluster mode option in developper tool
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Apache Spark commented on SPARK-36335:
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User 'yutoacts' has created a pull request
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Hyukjin Kwon updated SPARK-36338:
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Summary: Move distributed-sequence implementation to Scala side (was: Move
distributed-sequence
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gaoyajun02 updated SPARK-36339:
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Description:
show demo for this ISSUE:
{code:java}
// SQL without error
SELECT name, count(name) c
gaoyajun02 created SPARK-36339:
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Summary: aggsBuffer should collect AggregateExpression in the map
range
Key: SPARK-36339
URL: https://issues.apache.org/jira/browse/SPARK-36339
Project: Spark
I
Hyukjin Kwon created SPARK-36338:
Summary: Move distributed-sequence implementation to Scala side
for simplicity
Key: SPARK-36338
URL: https://issues.apache.org/jira/browse/SPARK-36338
Project: Spark
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Apache Spark reassigned SPARK-36254:
Assignee: (was: Apache Spark)
> Install mlflow in Github Actions CI
> ---
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Apache Spark commented on SPARK-36254:
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User 'itholic' has created a pull request f
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Apache Spark commented on SPARK-36254:
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User 'itholic' has created a pull request f
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Apache Spark reassigned SPARK-36254:
Assignee: Apache Spark
> Install mlflow in Github Actions CI
> --
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Haejoon Lee updated SPARK-36254:
Description: Since the pandas-on-Spark includes the mlflow features and
related tests, we should i
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Yikun Jiang edited comment on SPARK-36000 at 7/29/21, 4:15 AM:
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Haejoon Lee updated SPARK-36254:
Description:
Since the pandas-on-Spark includes the mlflow features and related tests, we
should
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Haejoon Lee updated SPARK-36254:
Summary: Install mlflow in Github Actions CI (was: Install mlflow and
delta in Github Actions CI)
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Yikun Jiang updated SPARK-36337:
Description:
Decimal('NaN') is not supported by net.razorvine.pickle now.
In Python
{code:java}
>
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Yikun Jiang edited comment on SPARK-36000 at 7/29/21, 4:02 AM:
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Yikun Jiang created SPARK-36337:
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Summary: decimal('Nan') is unsupported in net.razorvine.pickle
Key: SPARK-36337
URL: https://issues.apache.org/jira/browse/SPARK-36337
Project: Spark
Issue Ty
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Yikun Jiang commented on SPARK-36000:
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[~XinrongM] I did some investigation on this,
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PengLei commented on SPARK-36336:
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I am woking on this
> Define the new exception that
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PengLei commented on SPARK-36094:
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[~karenfeng] Before refactor all query execution, I w
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PengLei updated SPARK-36336:
Description: The Throwable should extend
[SparkThrowable|https://github.com/apache/spark/blob/master/core/
PengLei created SPARK-36336:
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Summary: Define the new exception that mix SparkThrowable for all
base exe in QueryExecutionErrors
Key: SPARK-36336
URL: https://issues.apache.org/jira/browse/SPARK-36336
Proje
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Apache Spark commented on SPARK-36271:
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User 'AngersZh' has created a pull requ
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Apache Spark reassigned SPARK-36271:
Assignee: Apache Spark
> Hive SerDe and V1 Insert data to parquet/orc/avro need to check
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Apache Spark reassigned SPARK-36271:
Assignee: (was: Apache Spark)
> Hive SerDe and V1 Insert data to parquet/orc/avro nee
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angerszhu updated SPARK-36271:
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Summary: Hive SerDe and V1 Insert data to parquet/orc/avro need to check
schema too (was: Insert data
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Hyukjin Kwon resolved SPARK-36272.
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Fix Version/s: 3.1.3
3.2.0
Assignee: Cheng Su
Resolution: Fi
Yuto Akutsu created SPARK-36335:
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Summary: Document local-cluster mode option in developper tools doc
Key: SPARK-36335
URL: https://issues.apache.org/jira/browse/SPARK-36335
Project: Spark
Issu
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Wenchen Fan resolved SPARK-36286.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 33490
[https://gith
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Wenchen Fan reassigned SPARK-36286:
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Assignee: Linhong Liu
> Block some invalid datetime string
> --
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L. C. Hsieh commented on SPARK-18105:
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Looked at lz4 codebase and the reported failu
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Apache Spark commented on SPARK-33298:
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User 'c21' has created a pull request for t
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Apache Spark commented on SPARK-36136:
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User 'sunchao' has created a pull request f
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Apache Spark reassigned SPARK-36334:
Assignee: (was: Apache Spark)
> Add a new conf to allow K8s API server-side cache for
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Dongjoon Hyun updated SPARK-36334:
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Description:
-
https://kubernetes.io/docs/reference/using-api/api-concepts/#the-resourceversi
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Apache Spark reassigned SPARK-36334:
Assignee: Apache Spark
> Add a new conf to allow K8s API server-side cache for pod listin
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Apache Spark commented on SPARK-36334:
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User 'dongjoon-hyun' has created a pull req
Dongjoon Hyun created SPARK-36334:
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Summary: Add a new conf to allow K8s API server-side cache for pod
listing
Key: SPARK-36334
URL: https://issues.apache.org/jira/browse/SPARK-36334
Project: Spark
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Apache Spark commented on SPARK-36333:
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User 'ueshin' has created a pull request fo
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Apache Spark commented on SPARK-36333:
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User 'ueshin' has created a pull request fo
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Apache Spark reassigned SPARK-36333:
Assignee: (was: Apache Spark)
> Reuse isnull where the null check is needed.
> --
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Apache Spark reassigned SPARK-36333:
Assignee: Apache Spark
> Reuse isnull where the null check is needed.
> -
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Takuya Ueshin updated SPARK-36333:
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Summary: Reuse isnull where the null check is needed. (was: Reuse isnull
where the nullabilit
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Huaxin Gao resolved SPARK-22390.
Resolution: Duplicate
> Aggregate push down
> ---
>
> Key: SPARK-2
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Huaxin Gao resolved SPARK-32833.
Resolution: Duplicate
> JDBC V2 Datasource aggregate push down
> -
Takuya Ueshin created SPARK-36333:
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Summary: Reuse isnull where the nullability check is needed.
Key: SPARK-36333
URL: https://issues.apache.org/jira/browse/SPARK-36333
Project: Spark
Issue T
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Takuya Ueshin resolved SPARK-36190.
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Fix Version/s: 3.2.0
Assignee: Xinrong Meng
Resolution: Fixed
Issue resolved
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Apache Spark reassigned SPARK-36332:
Assignee: (was: Apache Spark)
> Cleanup RemoteBlockPushResolver log messages
> --
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Apache Spark commented on SPARK-36332:
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User 'venkata91' has created a pull request
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Apache Spark reassigned SPARK-36332:
Assignee: Apache Spark
> Cleanup RemoteBlockPushResolver log messages
> -
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Karen Feng updated SPARK-36094:
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Description:
To improve auditing, reduce duplication, and improve quality of error messages
thrown
Venkata krishnan Sowrirajan created SPARK-36332:
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Summary: Cleanup RemoteBlockPushResolver log messages
Key: SPARK-36332
URL: https://issues.apache.org/jira/browse/SPARK-36332
Project: Sp
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L. C. Hsieh resolved SPARK-36236.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 33455
[https://gith
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L. C. Hsieh reassigned SPARK-36236:
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Assignee: Venki Korukanti
> RocksDB state store: Add additional metrics for better observab
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Apache Spark reassigned SPARK-36331:
Assignee: (was: Apache Spark)
> Add SQLSTATE guideline
> --
>
>
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Apache Spark reassigned SPARK-36331:
Assignee: Apache Spark
> Add SQLSTATE guideline
> --
>
>
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Apache Spark commented on SPARK-36331:
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User 'karenfeng' has created a pull request
Karen Feng created SPARK-36331:
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Summary: Add SQLSTATE guideline
Key: SPARK-36331
URL: https://issues.apache.org/jira/browse/SPARK-36331
Project: Spark
Issue Type: Improvement
Componen
Holden Karau created SPARK-36330:
Summary: Use atomic renames for diskstore block writes & do
"fall-through" reads
Key: SPARK-36330
URL: https://issues.apache.org/jira/browse/SPARK-36330
Project: Spar
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Steve Loughran commented on SPARK-36024:
yes, you can change the example. For ha
Izek Greenfield created SPARK-36329:
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Summary: show api of Dataset should get as input the output method
Key: SPARK-36329
URL: https://issues.apache.org/jira/browse/SPARK-36329
Project: Spark
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Takuya Ueshin resolved SPARK-36143.
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Fix Version/s: 3.2.0
Assignee: Xinrong Meng
Resolution: Fixed
Issue resolved
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Wenchen Fan reassigned SPARK-36229:
---
Assignee: dgd_contributor
> conv() inconsistently handles invalid strings with > 64 invalid
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Wenchen Fan resolved SPARK-36229.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 33459
[https://gith
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Eugene Koifman updated SPARK-35639:
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Description:
{{CustomShuffleReaderExec}} reports "number of skewed partitions" and "number
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Wenchen Fan reassigned SPARK-36095:
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Assignee: dgd_contributor
> Group exception messages in core/rdd
> ---
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Wenchen Fan resolved SPARK-36095.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 33317
[https://gith
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Arghya Saha commented on SPARK-18105:
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[~dongjoon] Can we please address this before
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Arghya Saha edited comment on SPARK-18105 at 7/28/21, 1:55 PM:
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Arghya Saha commented on SPARK-18105:
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I am also facing the same error, I have raise
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Arghya Saha updated SPARK-36196:
Affects Version/s: (was: 3.1.2)
> Spark FetchFailedException Stream is corrupted Error
> -
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Apache Spark commented on SPARK-34265:
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User 'LucaCanali' has created a pull reques
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Luca Canali updated SPARK-34265:
Attachment: Python_UDF_instrumentation_lite_BatchEvalPython.png
> Instrument Python UDF execution
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Luca Canali updated SPARK-34265:
Attachment: Python_UDF_instrumentation_lite_ArrowEvalPython.png
> Instrument Python UDF execution
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Prabhu Joseph updated SPARK-36328:
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Description:
Spark Job creates a separate JobConf for every RDD (every hive table partition)
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Prabhu Joseph updated SPARK-36328:
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Summary: HadoopRDD#getPartitions fetches FileSystem Delegation Token for
every partition (was
Prabhu Joseph created SPARK-36328:
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Summary: HadoopRDD#getPartitions fetches FileSystem Delegation
Token for evert partition
Key: SPARK-36328
URL: https://issues.apache.org/jira/browse/SPARK-36328
Pro
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https://issues.apache.org/jira/browse/SPARK-36320?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon reassigned SPARK-36320:
Assignee: Takuya Ueshin
> Fix Series/Index.copy() to drop extra columns.
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Hyukjin Kwon resolved SPARK-36320.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 33549
[https://gi
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https://issues.apache.org/jira/browse/SPARK-36326?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-36326:
Assignee: Apache Spark
> Use Map.computeIfAbsent to simplify the process of
> HeapMemory
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https://issues.apache.org/jira/browse/SPARK-36326?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17388605#comment-17388605
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Apache Spark commented on SPARK-36326:
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User 'LuciferYang' has created a pull reque
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https://issues.apache.org/jira/browse/SPARK-36326?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-36326:
Assignee: (was: Apache Spark)
> Use Map.computeIfAbsent to simplify the process of
>
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https://issues.apache.org/jira/browse/SPARK-36327?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17388597#comment-17388597
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Senthil Kumar commented on SPARK-36327:
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Shall I work on this Jira to fix this iss
Senthil Kumar created SPARK-36327:
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Summary: Spark sql creates staging dir inside database directory
rather than creating inside table directory
Key: SPARK-36327
URL: https://issues.apache.org/jira/browse/SPARK-36
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https://issues.apache.org/jira/browse/SPARK-36326?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yang Jie updated SPARK-36326:
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Priority: Trivial (was: Minor)
> Use Map.computeIfAbsent to simplify the process of
> HeapMemoryAlloca
Yang Jie created SPARK-36326:
Summary: Use Map.computeIfAbsent to simplify the process of
HeapMemoryAllocator.bufferPoolsBySize init new item
Key: SPARK-36326
URL: https://issues.apache.org/jira/browse/SPARK-36326
Jesús Ricardo Ballesteros Molina created SPARK-36325:
Summary: Writing to hiveserver throught jdbc throws ParseException
Key: SPARK-36325
URL: https://issues.apache.org/jira/browse/SPARK-36325
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https://issues.apache.org/jira/browse/SPARK-36270?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17388583#comment-17388583
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Apache Spark commented on SPARK-36270:
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User 'linhongliu-db' has created a pull req
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https://issues.apache.org/jira/browse/SPARK-36270?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17388581#comment-17388581
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Apache Spark commented on SPARK-36270:
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User 'linhongliu-db' has created a pull req
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https://issues.apache.org/jira/browse/SPARK-29285?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-29285:
Assignee: Apache Spark
> Temporary shuffle and local block should be able to handle disk
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