[jira] [Created] (SPARK-42345) Rename TimestampNTZ inference conf as spark.sql.sources.timestampNTZTypeInference.enabled
Gengliang Wang created SPARK-42345: -- Summary: Rename TimestampNTZ inference conf as spark.sql.sources.timestampNTZTypeInference.enabled Key: SPARK-42345 URL: https://issues.apache.org/jira/browse/SPARK-42345 Project: Spark Issue Type: Sub-task Components: SQL Affects Versions: 3.4.0 Reporter: Gengliang Wang Assignee: Gengliang Wang -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-42345) Rename TimestampNTZ inference conf as spark.sql.sources.timestampNTZTypeInference.enabled
[ https://issues.apache.org/jira/browse/SPARK-42345?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-42345: Assignee: Gengliang Wang (was: Apache Spark) > Rename TimestampNTZ inference conf as > spark.sql.sources.timestampNTZTypeInference.enabled > - > > Key: SPARK-42345 > URL: https://issues.apache.org/jira/browse/SPARK-42345 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Gengliang Wang >Assignee: Gengliang Wang >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42345) Rename TimestampNTZ inference conf as spark.sql.sources.timestampNTZTypeInference.enabled
[ https://issues.apache.org/jira/browse/SPARK-42345?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684129#comment-17684129 ] Apache Spark commented on SPARK-42345: -- User 'gengliangwang' has created a pull request for this issue: https://github.com/apache/spark/pull/39885 > Rename TimestampNTZ inference conf as > spark.sql.sources.timestampNTZTypeInference.enabled > - > > Key: SPARK-42345 > URL: https://issues.apache.org/jira/browse/SPARK-42345 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Gengliang Wang >Assignee: Gengliang Wang >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-42345) Rename TimestampNTZ inference conf as spark.sql.sources.timestampNTZTypeInference.enabled
[ https://issues.apache.org/jira/browse/SPARK-42345?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-42345: Assignee: Apache Spark (was: Gengliang Wang) > Rename TimestampNTZ inference conf as > spark.sql.sources.timestampNTZTypeInference.enabled > - > > Key: SPARK-42345 > URL: https://issues.apache.org/jira/browse/SPARK-42345 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Gengliang Wang >Assignee: Apache Spark >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-42346) distinct(count colname) with UNION ALL causes query analyzer bug
Robin created SPARK-42346: - Summary: distinct(count colname) with UNION ALL causes query analyzer bug Key: SPARK-42346 URL: https://issues.apache.org/jira/browse/SPARK-42346 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 3.3.1 Reporter: Robin If you combine a UNION ALL with a count(distinct colname) you get a query analyzer bug. This behaviour is introduced in 3.3.0. The bug was not present in 3.2.1. Here is a reprex in PySpark: {{df_pd = pd.DataFrame([}} {{ \{'surname': 'a', 'first_name': 'b'}}} {{])}} {{df_spark = spark.createDataFrame(df_pd)}} {{df_spark.createOrReplaceTempView("input_table")}} {{sql = """}} {{SELECT }} {{ (SELECT Count(DISTINCT first_name) FROM input_table) }} {{ AS distinct_value_count}} {{FROM input_table}} {{UNION ALL}} {{SELECT }} {{ (SELECT Count(DISTINCT surname) FROM input_table) }} {{ AS distinct_value_count}} {{FROM input_table """}} {{spark.sql(sql).toPandas()}} -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-42346) distinct(count colname) with UNION ALL causes query analyzer bug
[ https://issues.apache.org/jira/browse/SPARK-42346?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Robin updated SPARK-42346: -- Priority: Minor (was: Major) > distinct(count colname) with UNION ALL causes query analyzer bug > > > Key: SPARK-42346 > URL: https://issues.apache.org/jira/browse/SPARK-42346 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 3.3.1 >Reporter: Robin >Priority: Minor > > If you combine a UNION ALL with a count(distinct colname) you get a query > analyzer bug. > > This behaviour is introduced in 3.3.0. The bug was not present in 3.2.1. > > Here is a reprex in PySpark: > {{df_pd = pd.DataFrame([}} > {{ \{'surname': 'a', 'first_name': 'b'}}} > {{])}} > {{df_spark = spark.createDataFrame(df_pd)}} > {{df_spark.createOrReplaceTempView("input_table")}} > {{sql = """}} > {{SELECT }} > {{ (SELECT Count(DISTINCT first_name) FROM input_table) }} > {{ AS distinct_value_count}} > {{FROM input_table}} > {{UNION ALL}} > {{SELECT }} > {{ (SELECT Count(DISTINCT surname) FROM input_table) }} > {{ AS distinct_value_count}} > {{FROM input_table """}} > {{spark.sql(sql).toPandas()}} > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-42346) distinct(count colname) with UNION ALL causes query analyzer bug
[ https://issues.apache.org/jira/browse/SPARK-42346?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Robin updated SPARK-42346: -- Priority: Major (was: Minor) > distinct(count colname) with UNION ALL causes query analyzer bug > > > Key: SPARK-42346 > URL: https://issues.apache.org/jira/browse/SPARK-42346 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 3.3.1 >Reporter: Robin >Priority: Major > > If you combine a UNION ALL with a count(distinct colname) you get a query > analyzer bug. > > This behaviour is introduced in 3.3.0. The bug was not present in 3.2.1. > > Here is a reprex in PySpark: > {{df_pd = pd.DataFrame([}} > {{ \{'surname': 'a', 'first_name': 'b'}}} > {{])}} > {{df_spark = spark.createDataFrame(df_pd)}} > {{df_spark.createOrReplaceTempView("input_table")}} > {{sql = """}} > {{SELECT }} > {{ (SELECT Count(DISTINCT first_name) FROM input_table) }} > {{ AS distinct_value_count}} > {{FROM input_table}} > {{UNION ALL}} > {{SELECT }} > {{ (SELECT Count(DISTINCT surname) FROM input_table) }} > {{ AS distinct_value_count}} > {{FROM input_table """}} > {{spark.sql(sql).toPandas()}} > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-42297) Assign name to _LEGACY_ERROR_TEMP_2412
[ https://issues.apache.org/jira/browse/SPARK-42297?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Max Gekk resolved SPARK-42297. -- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 39869 [https://github.com/apache/spark/pull/39869] > Assign name to _LEGACY_ERROR_TEMP_2412 > -- > > Key: SPARK-42297 > URL: https://issues.apache.org/jira/browse/SPARK-42297 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Haejoon Lee >Assignee: Haejoon Lee >Priority: Major > Fix For: 3.4.0 > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-42297) Assign name to _LEGACY_ERROR_TEMP_2412
[ https://issues.apache.org/jira/browse/SPARK-42297?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Max Gekk reassigned SPARK-42297: Assignee: Haejoon Lee > Assign name to _LEGACY_ERROR_TEMP_2412 > -- > > Key: SPARK-42297 > URL: https://issues.apache.org/jira/browse/SPARK-42297 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Haejoon Lee >Assignee: Haejoon Lee >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-42238) Introduce `INCOMPATIBLE_JOIN_TYPES`
[ https://issues.apache.org/jira/browse/SPARK-42238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Max Gekk resolved SPARK-42238. -- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 39805 [https://github.com/apache/spark/pull/39805] > Introduce `INCOMPATIBLE_JOIN_TYPES` > --- > > Key: SPARK-42238 > URL: https://issues.apache.org/jira/browse/SPARK-42238 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Haejoon Lee >Assignee: Haejoon Lee >Priority: Major > Fix For: 3.4.0 > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-42238) Introduce `INCOMPATIBLE_JOIN_TYPES`
[ https://issues.apache.org/jira/browse/SPARK-42238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Max Gekk reassigned SPARK-42238: Assignee: Haejoon Lee > Introduce `INCOMPATIBLE_JOIN_TYPES` > --- > > Key: SPARK-42238 > URL: https://issues.apache.org/jira/browse/SPARK-42238 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Haejoon Lee >Assignee: Haejoon Lee >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-41302) Assign a name to the error class _LEGACY_ERROR_TEMP_1185
[ https://issues.apache.org/jira/browse/SPARK-41302?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Max Gekk reassigned SPARK-41302: Assignee: Max Gekk > Assign a name to the error class _LEGACY_ERROR_TEMP_1185 > > > Key: SPARK-41302 > URL: https://issues.apache.org/jira/browse/SPARK-41302 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: BingKun Pan >Assignee: Max Gekk >Priority: Minor > > Assign a name to the legacy error class _LEGACY_ERROR_TEMP_1185, improve > error message and tests. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-41302) Assign a name to the error class _LEGACY_ERROR_TEMP_1185
[ https://issues.apache.org/jira/browse/SPARK-41302?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Max Gekk resolved SPARK-41302. -- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 39723 [https://github.com/apache/spark/pull/39723] > Assign a name to the error class _LEGACY_ERROR_TEMP_1185 > > > Key: SPARK-41302 > URL: https://issues.apache.org/jira/browse/SPARK-41302 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: BingKun Pan >Assignee: Max Gekk >Priority: Minor > Fix For: 3.4.0 > > > Assign a name to the legacy error class _LEGACY_ERROR_TEMP_1185, improve > error message and tests. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42346) distinct(count colname) with UNION ALL causes query analyzer bug
[ https://issues.apache.org/jira/browse/SPARK-42346?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684177#comment-17684177 ] Yuming Wang commented on SPARK-42346: - cc [~petertoth] > distinct(count colname) with UNION ALL causes query analyzer bug > > > Key: SPARK-42346 > URL: https://issues.apache.org/jira/browse/SPARK-42346 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 3.3.1 >Reporter: Robin >Priority: Major > > If you combine a UNION ALL with a count(distinct colname) you get a query > analyzer bug. > > This behaviour is introduced in 3.3.0. The bug was not present in 3.2.1. > > Here is a reprex in PySpark: > {{df_pd = pd.DataFrame([}} > {{ \{'surname': 'a', 'first_name': 'b'}}} > {{])}} > {{df_spark = spark.createDataFrame(df_pd)}} > {{df_spark.createOrReplaceTempView("input_table")}} > {{sql = """}} > {{SELECT }} > {{ (SELECT Count(DISTINCT first_name) FROM input_table) }} > {{ AS distinct_value_count}} > {{FROM input_table}} > {{UNION ALL}} > {{SELECT }} > {{ (SELECT Count(DISTINCT surname) FROM input_table) }} > {{ AS distinct_value_count}} > {{FROM input_table """}} > {{spark.sql(sql).toPandas()}} > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42346) distinct(count colname) with UNION ALL causes query analyzer bug
[ https://issues.apache.org/jira/browse/SPARK-42346?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684184#comment-17684184 ] Peter Toth commented on SPARK-42346: Thanks for pinging me [~yumwang], this might be subquery merge related. I will look into it. > distinct(count colname) with UNION ALL causes query analyzer bug > > > Key: SPARK-42346 > URL: https://issues.apache.org/jira/browse/SPARK-42346 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 3.3.1 >Reporter: Robin >Priority: Major > > If you combine a UNION ALL with a count(distinct colname) you get a query > analyzer bug. > > This behaviour is introduced in 3.3.0. The bug was not present in 3.2.1. > > Here is a reprex in PySpark: > {{df_pd = pd.DataFrame([}} > {{ \{'surname': 'a', 'first_name': 'b'}}} > {{])}} > {{df_spark = spark.createDataFrame(df_pd)}} > {{df_spark.createOrReplaceTempView("input_table")}} > {{sql = """}} > {{SELECT }} > {{ (SELECT Count(DISTINCT first_name) FROM input_table) }} > {{ AS distinct_value_count}} > {{FROM input_table}} > {{UNION ALL}} > {{SELECT }} > {{ (SELECT Count(DISTINCT surname) FROM input_table) }} > {{ AS distinct_value_count}} > {{FROM input_table """}} > {{spark.sql(sql).toPandas()}} > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-41302) Assign a name to the error class _LEGACY_ERROR_TEMP_1185
[ https://issues.apache.org/jira/browse/SPARK-41302?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Max Gekk reassigned SPARK-41302: Assignee: Narek Karapetian (was: Max Gekk) > Assign a name to the error class _LEGACY_ERROR_TEMP_1185 > > > Key: SPARK-41302 > URL: https://issues.apache.org/jira/browse/SPARK-41302 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: BingKun Pan >Assignee: Narek Karapetian >Priority: Minor > Fix For: 3.4.0 > > > Assign a name to the legacy error class _LEGACY_ERROR_TEMP_1185, improve > error message and tests. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-42341) Fix JoinSelectionHelperSuite and PlanStabilitySuite to use explicit broadcast threshold
[ https://issues.apache.org/jira/browse/SPARK-42341?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun resolved SPARK-42341. --- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 39881 [https://github.com/apache/spark/pull/39881] > Fix JoinSelectionHelperSuite and PlanStabilitySuite to use explicit broadcast > threshold > --- > > Key: SPARK-42341 > URL: https://issues.apache.org/jira/browse/SPARK-42341 > Project: Spark > Issue Type: Test > Components: SQL, Tests >Affects Versions: 3.4.0 >Reporter: Dongjoon Hyun >Assignee: Dongjoon Hyun >Priority: Major > Fix For: 3.4.0 > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-42341) Fix JoinSelectionHelperSuite and PlanStabilitySuite to use explicit broadcast threshold
[ https://issues.apache.org/jira/browse/SPARK-42341?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun reassigned SPARK-42341: - Assignee: Dongjoon Hyun > Fix JoinSelectionHelperSuite and PlanStabilitySuite to use explicit broadcast > threshold > --- > > Key: SPARK-42341 > URL: https://issues.apache.org/jira/browse/SPARK-42341 > Project: Spark > Issue Type: Test > Components: SQL, Tests >Affects Versions: 3.4.0 >Reporter: Dongjoon Hyun >Assignee: Dongjoon Hyun >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-42347) Arrow string and binary vectors only support 1 GiB
Adam Binford created SPARK-42347: Summary: Arrow string and binary vectors only support 1 GiB Key: SPARK-42347 URL: https://issues.apache.org/jira/browse/SPARK-42347 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 3.4.0 Reporter: Adam Binford Since Arrow 10.0.0, BaseVariableWidthVector (the parent for string and binary vectors), only supports expanding up to 1 GiB through the safe interfaces, which Spark uses, instead of 2 GiB previously. This is due to [https://github.com/apache/arrow/pull/13815.] I added a comment in there but haven't got any responses yet, will make an issue in Arrow as well. Basically whenever you try to add data beyond 1 GiB, the vector will try to double itself to the next power of two, which would be {{{}2147483648{}}}, which is greater than {{Integer.MAX_VALUE}} which is {{{}2147483647{}}}, thus throwing a {{{}OversizedAllocationException{}}}. See [https://github.com/apache/spark/pull/39572#issuecomment-1383195213] and the comment above for how I recreated to show this was now the case. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42347) Arrow string and binary vectors only support 1 GiB
[ https://issues.apache.org/jira/browse/SPARK-42347?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684212#comment-17684212 ] Adam Binford commented on SPARK-42347: -- [https://github.com/apache/spark/pull/39572] is a potential workaround to allow enabling the large variable width vectors when users hit this limit. > Arrow string and binary vectors only support 1 GiB > -- > > Key: SPARK-42347 > URL: https://issues.apache.org/jira/browse/SPARK-42347 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 3.4.0 >Reporter: Adam Binford >Priority: Major > > Since Arrow 10.0.0, BaseVariableWidthVector (the parent for string and binary > vectors), only supports expanding up to 1 GiB through the safe interfaces, > which Spark uses, instead of 2 GiB previously. This is due to > [https://github.com/apache/arrow/pull/13815.] I added a comment in there but > haven't got any responses yet, will make an issue in Arrow as well. > Basically whenever you try to add data beyond 1 GiB, the vector will try to > double itself to the next power of two, which would be {{{}2147483648{}}}, > which is greater than {{Integer.MAX_VALUE}} which is {{{}2147483647{}}}, thus > throwing a {{{}OversizedAllocationException{}}}. > See [https://github.com/apache/spark/pull/39572#issuecomment-1383195213] and > the comment above for how I recreated to show this was now the case. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-42334) Make sure connect client assembly and sql package is built before running client tests - SBT
[ https://issues.apache.org/jira/browse/SPARK-42334?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Herman van Hövell resolved SPARK-42334. --- Fix Version/s: 3.4.0 Resolution: Fixed > Make sure connect client assembly and sql package is built before running > client tests - SBT > > > Key: SPARK-42334 > URL: https://issues.apache.org/jira/browse/SPARK-42334 > Project: Spark > Issue Type: Improvement > Components: Connect >Affects Versions: 3.5.0 >Reporter: Yang Jie >Assignee: Yang Jie >Priority: Major > Fix For: 3.4.0 > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-42334) Make sure connect client assembly and sql package is built before running client tests - SBT
[ https://issues.apache.org/jira/browse/SPARK-42334?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Herman van Hövell reassigned SPARK-42334: - Assignee: Yang Jie > Make sure connect client assembly and sql package is built before running > client tests - SBT > > > Key: SPARK-42334 > URL: https://issues.apache.org/jira/browse/SPARK-42334 > Project: Spark > Issue Type: Improvement > Components: Connect >Affects Versions: 3.5.0 >Reporter: Yang Jie >Assignee: Yang Jie >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-42343) Ignore `IOException` in `handleBlockRemovalFailure` if SparkContext is stopped
[ https://issues.apache.org/jira/browse/SPARK-42343?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun resolved SPARK-42343. --- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 39883 [https://github.com/apache/spark/pull/39883] > Ignore `IOException` in `handleBlockRemovalFailure` if SparkContext is stopped > -- > > Key: SPARK-42343 > URL: https://issues.apache.org/jira/browse/SPARK-42343 > Project: Spark > Issue Type: Bug > Components: Spark Core >Affects Versions: 3.3.1, 3.2.3, 3.4.0 >Reporter: Dongjoon Hyun >Assignee: Dongjoon Hyun >Priority: Minor > Fix For: 3.4.0 > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-42343) Ignore `IOException` in `handleBlockRemovalFailure` if SparkContext is stopped
[ https://issues.apache.org/jira/browse/SPARK-42343?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun reassigned SPARK-42343: - Assignee: Dongjoon Hyun > Ignore `IOException` in `handleBlockRemovalFailure` if SparkContext is stopped > -- > > Key: SPARK-42343 > URL: https://issues.apache.org/jira/browse/SPARK-42343 > Project: Spark > Issue Type: Bug > Components: Spark Core >Affects Versions: 3.3.1, 3.2.3, 3.4.0 >Reporter: Dongjoon Hyun >Assignee: Dongjoon Hyun >Priority: Minor > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42309) Assign name to _LEGACY_ERROR_TEMP_1204
[ https://issues.apache.org/jira/browse/SPARK-42309?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684245#comment-17684245 ] Haejoon Lee commented on SPARK-42309: - I'm working on it. > Assign name to _LEGACY_ERROR_TEMP_1204 > -- > > Key: SPARK-42309 > URL: https://issues.apache.org/jira/browse/SPARK-42309 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Haejoon Lee >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42310) Assign name to _LEGACY_ERROR_TEMP_1289
[ https://issues.apache.org/jira/browse/SPARK-42310?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684248#comment-17684248 ] Haejoon Lee commented on SPARK-42310: - I'm working on it. > Assign name to _LEGACY_ERROR_TEMP_1289 > -- > > Key: SPARK-42310 > URL: https://issues.apache.org/jira/browse/SPARK-42310 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Haejoon Lee >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42311) Assign name to _LEGACY_ERROR_TEMP_2432
[ https://issues.apache.org/jira/browse/SPARK-42311?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684249#comment-17684249 ] Haejoon Lee commented on SPARK-42311: - I'm working on it > Assign name to _LEGACY_ERROR_TEMP_2432 > -- > > Key: SPARK-42311 > URL: https://issues.apache.org/jira/browse/SPARK-42311 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Haejoon Lee >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42312) Assign name to _LEGACY_ERROR_TEMP_0042
[ https://issues.apache.org/jira/browse/SPARK-42312?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684250#comment-17684250 ] Haejoon Lee commented on SPARK-42312: - I'm working on it > Assign name to _LEGACY_ERROR_TEMP_0042 > -- > > Key: SPARK-42312 > URL: https://issues.apache.org/jira/browse/SPARK-42312 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Haejoon Lee >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42313) Assign name to _LEGACY_ERROR_TEMP_1152
[ https://issues.apache.org/jira/browse/SPARK-42313?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684251#comment-17684251 ] Haejoon Lee commented on SPARK-42313: - I'm working on it > Assign name to _LEGACY_ERROR_TEMP_1152 > -- > > Key: SPARK-42313 > URL: https://issues.apache.org/jira/browse/SPARK-42313 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Haejoon Lee >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42315) Assign name to _LEGACY_ERROR_TEMP_2092
[ https://issues.apache.org/jira/browse/SPARK-42315?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684253#comment-17684253 ] Haejoon Lee commented on SPARK-42315: - I'm working on it > Assign name to _LEGACY_ERROR_TEMP_2092 > -- > > Key: SPARK-42315 > URL: https://issues.apache.org/jira/browse/SPARK-42315 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Haejoon Lee >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42314) Assign name to _LEGACY_ERROR_TEMP_2127
[ https://issues.apache.org/jira/browse/SPARK-42314?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684252#comment-17684252 ] Haejoon Lee commented on SPARK-42314: - I'm working on it > Assign name to _LEGACY_ERROR_TEMP_2127 > -- > > Key: SPARK-42314 > URL: https://issues.apache.org/jira/browse/SPARK-42314 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Haejoon Lee >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42319) Assign name to _LEGACY_ERROR_TEMP_2123
[ https://issues.apache.org/jira/browse/SPARK-42319?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684255#comment-17684255 ] Haejoon Lee commented on SPARK-42319: - I'm working on it > Assign name to _LEGACY_ERROR_TEMP_2123 > -- > > Key: SPARK-42319 > URL: https://issues.apache.org/jira/browse/SPARK-42319 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Haejoon Lee >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42318) Assign name to _LEGACY_ERROR_TEMP_2125
[ https://issues.apache.org/jira/browse/SPARK-42318?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684254#comment-17684254 ] Haejoon Lee commented on SPARK-42318: - I'm working on it > Assign name to _LEGACY_ERROR_TEMP_2125 > -- > > Key: SPARK-42318 > URL: https://issues.apache.org/jira/browse/SPARK-42318 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Haejoon Lee >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42320) Assign name to _LEGACY_ERROR_TEMP_2188
[ https://issues.apache.org/jira/browse/SPARK-42320?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684256#comment-17684256 ] Haejoon Lee commented on SPARK-42320: - I'm working on it > Assign name to _LEGACY_ERROR_TEMP_2188 > -- > > Key: SPARK-42320 > URL: https://issues.apache.org/jira/browse/SPARK-42320 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Haejoon Lee >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-42345) Rename TimestampNTZ inference conf as spark.sql.sources.timestampNTZTypeInference.enabled
[ https://issues.apache.org/jira/browse/SPARK-42345?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Max Gekk resolved SPARK-42345. -- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 39885 [https://github.com/apache/spark/pull/39885] > Rename TimestampNTZ inference conf as > spark.sql.sources.timestampNTZTypeInference.enabled > - > > Key: SPARK-42345 > URL: https://issues.apache.org/jira/browse/SPARK-42345 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.4.0 >Reporter: Gengliang Wang >Assignee: Gengliang Wang >Priority: Major > Fix For: 3.4.0 > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org