[jira] [Comment Edited] (SPARK-41185) YuniKorn on ARM incorrectly documented as not supported

[ https://issues.apache.org/jira/browse/SPARK-41185?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17637041#comment-17637041 ] Yikun Jiang edited comment on SPARK-41185 at 11/22/22 7:36 AM: --- Yes, I

[jira] [Commented] (SPARK-41185) YuniKorn on ARM incorrectly documented as not supported

[ https://issues.apache.org/jira/browse/SPARK-41185?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17637041#comment-17637041 ] Yikun Jiang commented on SPARK-41185: - Yes, I think arm64 support already introduced since v1.1 in

[jira] [Assigned] (SPARK-41206) Assign a name to the error class _LEGACY_ERROR_TEMP_1233

[ https://issues.apache.org/jira/browse/SPARK-41206?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Max Gekk reassigned SPARK-41206: Assignee: Max Gekk > Assign a name to the error class _LEGACY_ERROR_TEMP_1233 >

[jira] [Resolved] (SPARK-41206) Assign a name to the error class _LEGACY_ERROR_TEMP_1233

[ https://issues.apache.org/jira/browse/SPARK-41206?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Max Gekk resolved SPARK-41206. -- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 38685

[jira] [Resolved] (SPARK-41217) Add an error class for failures of built-in function calls

[ https://issues.apache.org/jira/browse/SPARK-41217?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Max Gekk resolved SPARK-41217. -- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 38744

[jira] [Commented] (SPARK-41016) Identical expressions should not be used on both sides of a binary operator

[ https://issues.apache.org/jira/browse/SPARK-41016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17637032#comment-17637032 ] Hyukjin Kwon commented on SPARK-41016: -- Actually seems like following what pandas does (?). If

[jira] [Updated] (SPARK-41129) When multiple SQLs are concurrent, the driver subquery thread is permanently locked

[ https://issues.apache.org/jira/browse/SPARK-41129?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon updated SPARK-41129: - Target Version/s: (was: 3.3.0) > When multiple SQLs are concurrent, the driver subquery

[jira] [Commented] (SPARK-41185) YuniKorn on ARM incorrectly documented as not supported

[ https://issues.apache.org/jira/browse/SPARK-41185?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17637031#comment-17637031 ] Hyukjin Kwon commented on SPARK-41185: -- cc [~yikun] FYI > YuniKorn on ARM incorrectly documented

[jira] [Updated] (SPARK-41190) The default sparksession catalog name is not scalable and is fixed as spark_catalog

[ https://issues.apache.org/jira/browse/SPARK-41190?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon updated SPARK-41190: - Issue Type: Improvement (was: Question) > The default sparksession catalog name is not

[jira] [Comment Edited] (SPARK-41219) Regression in IntegralDivide returning null instead of 0

[ https://issues.apache.org/jira/browse/SPARK-41219?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17637029#comment-17637029 ] Hyukjin Kwon edited comment on SPARK-41219 at 11/22/22 6:57 AM: cc

[jira] [Commented] (SPARK-41219) Regression in IntegralDivide returning null instead of 0

[ https://issues.apache.org/jira/browse/SPARK-41219?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17637029#comment-17637029 ] Hyukjin Kwon commented on SPARK-41219: -- cc [~yuming] FYI > Regression in IntegralDivide returning

[jira] [Updated] (SPARK-41118) to_number/try_to_number throws NullPointerException when format is null

[ https://issues.apache.org/jira/browse/SPARK-41118?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon updated SPARK-41118: - Fix Version/s: 3.3.2 > to_number/try_to_number throws NullPointerException when format is null

[jira] [Resolved] (SPARK-41169) Implement `DataFrame.drop`

[ https://issues.apache.org/jira/browse/SPARK-41169?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon resolved SPARK-41169. -- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 38686

[jira] [Resolved] (SPARK-41193) Ignore `collect data with single partition larger than 2GB bytes array limit` in `DatasetLargeResultCollectingSuite` as default

[ https://issues.apache.org/jira/browse/SPARK-41193?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon resolved SPARK-41193. -- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 38704

[jira] [Assigned] (SPARK-41193) Ignore `collect data with single partition larger than 2GB bytes array limit` in `DatasetLargeResultCollectingSuite` as default

[ https://issues.apache.org/jira/browse/SPARK-41193?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon reassigned SPARK-41193: Assignee: Yang Jie > Ignore `collect data with single partition larger than 2GB bytes

[jira] [Assigned] (SPARK-41209) Improve PySpark type inference in _merge_type method

[ https://issues.apache.org/jira/browse/SPARK-41209?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon reassigned SPARK-41209: Assignee: Ivan Sadikov > Improve PySpark type inference in _merge_type method >

[jira] [Resolved] (SPARK-41209) Improve PySpark type inference in _merge_type method

[ https://issues.apache.org/jira/browse/SPARK-41209?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon resolved SPARK-41209. -- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 38731

[jira] [Resolved] (SPARK-41213) Implement `DataFrame.__repr__` and `DataFrame.dtypes`

[ https://issues.apache.org/jira/browse/SPARK-41213?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon resolved SPARK-41213. -- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 38735

[jira] [Assigned] (SPARK-41213) Implement `DataFrame.__repr__` and `DataFrame.dtypes`

[ https://issues.apache.org/jira/browse/SPARK-41213?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon reassigned SPARK-41213: Assignee: Ruifeng Zheng > Implement `DataFrame.__repr__` and `DataFrame.dtypes` >

[jira] [Commented] (SPARK-40809) Add as(alias: String) to connect DSL

[ https://issues.apache.org/jira/browse/SPARK-40809?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17637020#comment-17637020 ] Apache Spark commented on SPARK-40809: -- User 'LuciferYang' has created a pull request for this

[jira] [Commented] (SPARK-40809) Add as(alias: String) to connect DSL

[ https://issues.apache.org/jira/browse/SPARK-40809?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17637019#comment-17637019 ] Apache Spark commented on SPARK-40809: -- User 'LuciferYang' has created a pull request for this

[jira] [Updated] (SPARK-41151) Keep built-in file _metadata column nullable value consistent

[ https://issues.apache.org/jira/browse/SPARK-41151?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jungtaek Lim updated SPARK-41151: - Fix Version/s: 3.3.2 > Keep built-in file _metadata column nullable value consistent >

[jira] [Commented] (SPARK-40809) Add as(alias: String) to connect DSL

[ https://issues.apache.org/jira/browse/SPARK-40809?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17637014#comment-17637014 ] Apache Spark commented on SPARK-40809: -- User 'HyukjinKwon' has created a pull request for this

[jira] [Commented] (SPARK-40872) Fallback to original shuffle block when a push-merged shuffle chunk is zero-size

[ https://issues.apache.org/jira/browse/SPARK-40872?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17637005#comment-17637005 ] Apache Spark commented on SPARK-40872: -- User 'gaoyajun02' has created a pull request for this

[jira] [Commented] (SPARK-40653) Protobuf Support in Structured Streaming

[ https://issues.apache.org/jira/browse/SPARK-40653?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17637002#comment-17637002 ] Jungtaek Lim commented on SPARK-40653: -- We rarely port back the feature into maintenance release.

[jira] [Updated] (SPARK-40653) Protobuf Support in Structured Streaming

[ https://issues.apache.org/jira/browse/SPARK-40653?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jungtaek Lim updated SPARK-40653: - Affects Version/s: 3.4.0 (was: 3.3.0) > Protobuf Support in

[jira] [Updated] (SPARK-41214) SQL metrics are missing from Spark UI when AQE for Cached DataFrame is enabled

[ https://issues.apache.org/jira/browse/SPARK-41214?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Eren Avsarogullari updated SPARK-41214: --- Summary: SQL metrics are missing from Spark UI when AQE for Cached DataFrame is

[jira] [Updated] (SPARK-41219) Regression in IntegralDivide returning null instead of 0

[ https://issues.apache.org/jira/browse/SPARK-41219?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Raza Jafri updated SPARK-41219: --- Summary: Regression in IntegralDivide returning null instead of 0 (was: Regression in

[jira] [Created] (SPARK-41219) Regression in IntegralDivide

Raza Jafri created SPARK-41219: -- Summary: Regression in IntegralDivide Key: SPARK-41219 URL: https://issues.apache.org/jira/browse/SPARK-41219 Project: Spark Issue Type: Bug

[jira] [Commented] (SPARK-40653) Protobuf Support in Structured Streaming

[ https://issues.apache.org/jira/browse/SPARK-40653?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636974#comment-17636974 ] Sandish Kumar HN commented on SPARK-40653: -- [~rangadi] Do you think we need to add more

[jira] [Assigned] (SPARK-41154) Incorrect relation caching for queries with time travel spec

[ https://issues.apache.org/jira/browse/SPARK-41154?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan reassigned SPARK-41154: --- Assignee: XiDuo You > Incorrect relation caching for queries with time travel spec >

[jira] [Commented] (SPARK-41151) Keep built-in file _metadata column nullable value consistent

[ https://issues.apache.org/jira/browse/SPARK-41151?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636955#comment-17636955 ] Apache Spark commented on SPARK-41151: -- User 'Yaohua628' has created a pull request for this issue:

[jira] [Resolved] (SPARK-41151) Keep built-in file _metadata column nullable value consistent

[ https://issues.apache.org/jira/browse/SPARK-41151?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jungtaek Lim resolved SPARK-41151. -- Fix Version/s: 3.4.0 Assignee: Yaohua Zhao Resolution: Fixed Issue resolved

[jira] [Commented] (SPARK-40834) Use SparkListenerSQLExecutionEnd to track final SQL status in UI

[ https://issues.apache.org/jira/browse/SPARK-40834?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636852#comment-17636852 ] Apache Spark commented on SPARK-40834: -- User 'cloud-fan' has created a pull request for this issue:

[jira] [Commented] (SPARK-41119) Python file to be passed as argument using command-line option for PySpark

[ https://issues.apache.org/jira/browse/SPARK-41119?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636832#comment-17636832 ] Lingaraj Gowdar commented on SPARK-41119: - Moved Jira from "Improvement" to "Feature" as it is a

[jira] [Updated] (SPARK-41119) Python file to be passed as argument using command-line option for PySpark

[ https://issues.apache.org/jira/browse/SPARK-41119?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Lingaraj Gowdar updated SPARK-41119: Description: *Background -* I was trying to run multiple tests by passing the script /

[jira] [Updated] (SPARK-41119) Python file to be passed as argument using command-line option for PySpark

[ https://issues.apache.org/jira/browse/SPARK-41119?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Lingaraj Gowdar updated SPARK-41119: Issue Type: New Feature (was: Improvement) > Python file to be passed as argument using

[jira] [Resolved] (SPARK-41195) Support PIVOT/UNPIVOT with join children

[ https://issues.apache.org/jira/browse/SPARK-41195?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Gengliang Wang resolved SPARK-41195. Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 38713

[jira] [Assigned] (SPARK-41195) Support PIVOT/UNPIVOT with join children

[ https://issues.apache.org/jira/browse/SPARK-41195?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Gengliang Wang reassigned SPARK-41195: -- Assignee: Wenchen Fan > Support PIVOT/UNPIVOT with join children >

[jira] [Comment Edited] (SPARK-35563) [SQL] Window operations with over Int.MaxValue + 1 rows can silently drop rows

[ https://issues.apache.org/jira/browse/SPARK-35563?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636782#comment-17636782 ] Nikhil Sharma edited comment on SPARK-35563 at 11/21/22 5:29 PM: - Thank

[jira] [Comment Edited] (SPARK-35563) [SQL] Window operations with over Int.MaxValue + 1 rows can silently drop rows

[ https://issues.apache.org/jira/browse/SPARK-35563?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636782#comment-17636782 ] Nikhil Sharma edited comment on SPARK-35563 at 11/21/22 5:29 PM: - Thank

[jira] [Commented] (SPARK-35563) [SQL] Window operations with over Int.MaxValue + 1 rows can silently drop rows

[ https://issues.apache.org/jira/browse/SPARK-35563?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636782#comment-17636782 ] Nikhil Sharma commented on SPARK-35563: --- Thank you for sharing such good information. Very

[jira] [Comment Edited] (SPARK-22588) SPARK: Load Data from Dataframe or RDD to DynamoDB / dealing with null values

[ https://issues.apache.org/jira/browse/SPARK-22588?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636776#comment-17636776 ] Nikhil Sharma edited comment on SPARK-22588 at 11/21/22 5:10 PM: - Thank

[jira] [Comment Edited] (SPARK-22588) SPARK: Load Data from Dataframe or RDD to DynamoDB / dealing with null values

[ https://issues.apache.org/jira/browse/SPARK-22588?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636776#comment-17636776 ] Nikhil Sharma edited comment on SPARK-22588 at 11/21/22 5:10 PM: - Thank

[jira] [Comment Edited] (SPARK-22588) SPARK: Load Data from Dataframe or RDD to DynamoDB / dealing with null values

[ https://issues.apache.org/jira/browse/SPARK-22588?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636776#comment-17636776 ] Nikhil Sharma edited comment on SPARK-22588 at 11/21/22 5:08 PM: - Thank

[jira] [Commented] (SPARK-22588) SPARK: Load Data from Dataframe or RDD to DynamoDB / dealing with null values

[ https://issues.apache.org/jira/browse/SPARK-22588?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636776#comment-17636776 ] Nikhil Sharma commented on SPARK-22588: --- Thank you for sharing the information. [Rails

[jira] [Commented] (SPARK-41017) Support column pruning with multiple nondeterministic Filters

[ https://issues.apache.org/jira/browse/SPARK-41017?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636749#comment-17636749 ] Apache Spark commented on SPARK-41017: -- User 'cloud-fan' has created a pull request for this issue:

[jira] [Commented] (SPARK-41017) Support column pruning with multiple nondeterministic Filters

[ https://issues.apache.org/jira/browse/SPARK-41017?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636748#comment-17636748 ] Apache Spark commented on SPARK-41017: -- User 'cloud-fan' has created a pull request for this issue:

[jira] [Created] (SPARK-41218) ParquetTable reports is supports negative scale decimal values

Robert Joseph Evans created SPARK-41218: --- Summary: ParquetTable reports is supports negative scale decimal values Key: SPARK-41218 URL: https://issues.apache.org/jira/browse/SPARK-41218

[jira] [Commented] (SPARK-37099) Introduce a rank-based filter to optimize top-k computation

[ https://issues.apache.org/jira/browse/SPARK-37099?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636700#comment-17636700 ] Apache Spark commented on SPARK-37099: -- User 'beliefer' has created a pull request for this issue:

[jira] [Commented] (SPARK-37099) Introduce a rank-based filter to optimize top-k computation

[ https://issues.apache.org/jira/browse/SPARK-37099?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636699#comment-17636699 ] Apache Spark commented on SPARK-37099: -- User 'beliefer' has created a pull request for this issue:

[jira] [Commented] (SPARK-41217) Add an error class for failures of built-in function calls

[ https://issues.apache.org/jira/browse/SPARK-41217?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636675#comment-17636675 ] Apache Spark commented on SPARK-41217: -- User 'MaxGekk' has created a pull request for this issue:

[jira] [Commented] (SPARK-41217) Add an error class for failures of built-in function calls

[ https://issues.apache.org/jira/browse/SPARK-41217?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636674#comment-17636674 ] Apache Spark commented on SPARK-41217: -- User 'MaxGekk' has created a pull request for this issue:

[jira] [Assigned] (SPARK-41217) Add an error class for failures of built-in function calls

[ https://issues.apache.org/jira/browse/SPARK-41217?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-41217: Assignee: Apache Spark (was: Max Gekk) > Add an error class for failures of built-in

[jira] [Assigned] (SPARK-41217) Add an error class for failures of built-in function calls

[ https://issues.apache.org/jira/browse/SPARK-41217?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-41217: Assignee: Max Gekk (was: Apache Spark) > Add an error class for failures of built-in

[jira] [Assigned] (SPARK-41215) protoc-3.21.9-linux-x86_64.exe requires GLIBC_2.14

[ https://issues.apache.org/jira/browse/SPARK-41215?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-41215: Assignee: Apache Spark > protoc-3.21.9-linux-x86_64.exe requires GLIBC_2.14 >

[jira] [Assigned] (SPARK-41215) protoc-3.21.9-linux-x86_64.exe requires GLIBC_2.14

[ https://issues.apache.org/jira/browse/SPARK-41215?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-41215: Assignee: (was: Apache Spark) > protoc-3.21.9-linux-x86_64.exe requires GLIBC_2.14 >

[jira] [Commented] (SPARK-41215) protoc-3.21.9-linux-x86_64.exe requires GLIBC_2.14

[ https://issues.apache.org/jira/browse/SPARK-41215?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636671#comment-17636671 ] Apache Spark commented on SPARK-41215: -- User '19855134604' has created a pull request for this

[jira] [Created] (SPARK-41217) Add an error class for failures of built-in function calls

Max Gekk created SPARK-41217: Summary: Add an error class for failures of built-in function calls Key: SPARK-41217 URL: https://issues.apache.org/jira/browse/SPARK-41217 Project: Spark Issue

[jira] [Updated] (SPARK-40633) Upgrade janino to 3.1.9

[ https://issues.apache.org/jira/browse/SPARK-40633?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yang Jie updated SPARK-40633: - Summary: Upgrade janino to 3.1.9 (was: Upgrade janino to 3.1.8) > Upgrade janino to 3.1.9 >

[jira] [Updated] (SPARK-40633) Upgrade janino to 3.1.9

[ https://issues.apache.org/jira/browse/SPARK-40633?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yang Jie updated SPARK-40633: - Description: [https://github.com/janino-compiler/janino/releases/tag/v3.1.8]

[jira] [Assigned] (SPARK-41216) Make AnalyzePlan support multiple analysis tasks

[ https://issues.apache.org/jira/browse/SPARK-41216?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-41216: Assignee: (was: Apache Spark) > Make AnalyzePlan support multiple analysis tasks >

[jira] [Assigned] (SPARK-41216) Make AnalyzePlan support multiple analysis tasks

[ https://issues.apache.org/jira/browse/SPARK-41216?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-41216: Assignee: Apache Spark > Make AnalyzePlan support multiple analysis tasks >

[jira] [Commented] (SPARK-41216) Make AnalyzePlan support multiple analysis tasks

[ https://issues.apache.org/jira/browse/SPARK-41216?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636641#comment-17636641 ] Apache Spark commented on SPARK-41216: -- User 'zhengruifeng' has created a pull request for this

[jira] [Updated] (SPARK-41215) protoc-3.21.9-linux-x86_64.exe requires GLIBC_2.14

[ https://issues.apache.org/jira/browse/SPARK-41215?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Haonan Jiang updated SPARK-41215: - Description: Test compile Protobuf module on CentOS release 6.3, the default glibc version is

[jira] [Created] (SPARK-41216) Make AnalyzePlan support multiple analysis tasks

Ruifeng Zheng created SPARK-41216: - Summary: Make AnalyzePlan support multiple analysis tasks Key: SPARK-41216 URL: https://issues.apache.org/jira/browse/SPARK-41216 Project: Spark Issue

[jira] [Commented] (SPARK-41215) protoc-3.21.9-linux-x86_64.exe requires GLIBC_2.14

[ https://issues.apache.org/jira/browse/SPARK-41215?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636638#comment-17636638 ] Haonan Jiang commented on SPARK-41215: -- I'm working on this jira > protoc-3.21.9-linux-x86_64.exe

[jira] [Created] (SPARK-41215) protoc-3.21.9-linux-x86_64.exe requires GLIBC_2.14

Haonan Jiang created SPARK-41215: Summary: protoc-3.21.9-linux-x86_64.exe requires GLIBC_2.14 Key: SPARK-41215 URL: https://issues.apache.org/jira/browse/SPARK-41215 Project: Spark Issue

[jira] [Commented] (SPARK-41154) Incorrect relation caching for queries with time travel spec

[ https://issues.apache.org/jira/browse/SPARK-41154?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636625#comment-17636625 ] Apache Spark commented on SPARK-41154: -- User 'ulysses-you' has created a pull request for this

[jira] [Resolved] (SPARK-41154) Incorrect relation caching for queries with time travel spec

[ https://issues.apache.org/jira/browse/SPARK-41154?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-41154. - Fix Version/s: 3.3.2 3.4.0 Resolution: Fixed Issue resolved by pull

[jira] [Commented] (SPARK-41207) Regression in IntegralDivide

[ https://issues.apache.org/jira/browse/SPARK-41207?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17636596#comment-17636596 ] Apache Spark commented on SPARK-41207: -- User 'ulysses-you' has created a pull request for this

[jira] [Assigned] (SPARK-41207) Regression in IntegralDivide

[ https://issues.apache.org/jira/browse/SPARK-41207?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-41207: Assignee: Apache Spark > Regression in IntegralDivide > > >

[jira] [Assigned] (SPARK-41207) Regression in IntegralDivide

[ https://issues.apache.org/jira/browse/SPARK-41207?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-41207: Assignee: (was: Apache Spark) > Regression in IntegralDivide >

[jira] [Resolved] (SPARK-41211) Upgrade ZooKeeper to 3.6.3

[ https://issues.apache.org/jira/browse/SPARK-41211?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Kent Yao resolved SPARK-41211. -- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 38733

[jira] [Assigned] (SPARK-41211) Upgrade ZooKeeper to 3.6.3

[ https://issues.apache.org/jira/browse/SPARK-41211?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Kent Yao reassigned SPARK-41211: Assignee: Kent Yao > Upgrade ZooKeeper to 3.6.3 > --- > >