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The following commit(s) were added to refs/heads/asf-site by this push: new 2bc2501 Fix wrong issue link 2bc2501 is described below commit 2bc2501972dcdecc7305d48cdd8746ddfecc9125 Author: Angerszhuuuu <angers....@gmail.com> AuthorDate: Wed Feb 23 07:05:03 2022 -0600 Fix wrong issue link Fix wrong issue link Author: Angerszhuuuu <angers....@gmail.com> Closes #380 from AngersZhuuuu/fix-link-of-spark-35391. --- releases/_posts/2019-09-01-spark-release-2-4-4.md | 2 +- releases/_posts/2021-05-17-spark-release-2-4-8.md | 2 +- releases/_posts/2022-02-18-spark-release-3-1-3.md | 2 +- site/releases/spark-release-2-4-4.html | 2 +- site/releases/spark-release-2-4-8.html | 2 +- site/releases/spark-release-3-1-3.html | 2 +- 6 files changed, 6 insertions(+), 6 deletions(-) diff --git a/releases/_posts/2019-09-01-spark-release-2-4-4.md b/releases/_posts/2019-09-01-spark-release-2-4-4.md index ab60b58..bfa4873 100644 --- a/releases/_posts/2019-09-01-spark-release-2-4-4.md +++ b/releases/_posts/2019-09-01-spark-release-2-4-4.md @@ -17,7 +17,7 @@ Spark 2.4.4 is a maintenance release containing stability fixes. This release is - [[SPARK-26038]](https://issues.apache.org/jira/browse/SPARK-26038): Fix Decimal toScalaBigInt/toJavaBigInteger for decimals not fitting in long - [[SPARK-26812]](https://issues.apache.org/jira/browse/SPARK-26812): Fix PushProjectionThroughUnion nullability issue - [[SPARK-27798]](https://issues.apache.org/jira/browse/SPARK-27798): Fix from_avro not to modify variables in other rows in local mode - - [[SPARK-27907]](https://issues.apache.org/jira/browse/SPARK-27992): Spark 2.4.3 accidentally throws NPE when HiveUDAF meets 0 rows. Fixed to return NULL like all the other releases. + - [[SPARK-27907]](https://issues.apache.org/jira/browse/SPARK-27907): Spark 2.4.3 accidentally throws NPE when HiveUDAF meets 0 rows. Fixed to return NULL like all the other releases. - [[SPARK-27992]](https://issues.apache.org/jira/browse/SPARK-27992): Fix PySpark socket server to sync with JVM connection thread future - [[SPARK-28015]](https://issues.apache.org/jira/browse/SPARK-28015): Check stringToDate() consumes entire input for the yyyy and yyyy-[m]m formats - [[SPARK-28308]](https://issues.apache.org/jira/browse/SPARK-28308): CalendarInterval sub-second part should be padded before parsing diff --git a/releases/_posts/2021-05-17-spark-release-2-4-8.md b/releases/_posts/2021-05-17-spark-release-2-4-8.md index 68360af..fc7024b 100644 --- a/releases/_posts/2021-05-17-spark-release-2-4-8.md +++ b/releases/_posts/2021-05-17-spark-release-2-4-8.md @@ -21,7 +21,7 @@ Spark 2.4.8 is a maintenance release containing stability, correctness, and secu - [[SPARK-26645]](https://issues.apache.org/jira/browse/SPARK-26645): CSV infer schema bug infers decimal(9,-1) - [[SPARK-27575]](https://issues.apache.org/jira/browse/SPARK-27575): Spark overwrites existing value of spark.yarn.dist.* instead of merging value - [[SPARK-27872]](https://issues.apache.org/jira/browse/SPARK-27872): Driver and executors use a different service account breaking pull secrets - - [[SPARK-29574]](https://issues.apache.org/jira/browse/SPARK-27872): spark with user provided hadoop doesn't work on kubernetes + - [[SPARK-29574]](https://issues.apache.org/jira/browse/SPARK-29574): spark with user provided hadoop doesn't work on kubernetes - [[SPARK-30201]](https://issues.apache.org/jira/browse/SPARK-30201): HiveOutputWriter standardOI should use ObjectInspectorCopyOption.DEFAULT - [[SPARK-32635]](https://issues.apache.org/jira/browse/SPARK-32635): When pyspark.sql.functions.lit() function is used with dataframe cache, it returns wrong result - [[SPARK-32708]](https://issues.apache.org/jira/browse/SPARK-32708): Query optimization fails to reuse exchange with DataSourceV2 diff --git a/releases/_posts/2022-02-18-spark-release-3-1-3.md b/releases/_posts/2022-02-18-spark-release-3-1-3.md index 25a0417..a22c7f1 100644 --- a/releases/_posts/2022-02-18-spark-release-3-1-3.md +++ b/releases/_posts/2022-02-18-spark-release-3-1-3.md @@ -26,7 +26,7 @@ Spark 3.1.3 is a maintenance release containing stability fixes. This release is - [[SPARK-36532]](https://issues.apache.org/jira/browse/SPARK-36532): Deadlock in CoarseGrainedExecutorBackend.onDisconnected - [[SPARK-36489]](https://issues.apache.org/jira/browse/SPARK-36489): Aggregate functions over no grouping keys, on tables with a single bucket, return multiple rows - [[SPARK-36339]](https://issues.apache.org/jira/browse/SPARK-36339): aggsBuffer should collect AggregateExpression in the map range - - [[SPARK-35391]](https://issues.apache.org/jira/browse/SPARK-36339): Memory leak in ExecutorAllocationListener breaks dynamic allocation under high load + - [[SPARK-35391]](https://issues.apache.org/jira/browse/SPARK-35391): Memory leak in ExecutorAllocationListener breaks dynamic allocation under high load ### Dependency Changes diff --git a/site/releases/spark-release-2-4-4.html b/site/releases/spark-release-2-4-4.html index 82f4ec2..6cbc662 100644 --- a/site/releases/spark-release-2-4-4.html +++ b/site/releases/spark-release-2-4-4.html @@ -154,7 +154,7 @@ <li><a href="https://issues.apache.org/jira/browse/SPARK-26038">[SPARK-26038]</a>: Fix Decimal toScalaBigInt/toJavaBigInteger for decimals not fitting in long</li> <li><a href="https://issues.apache.org/jira/browse/SPARK-26812">[SPARK-26812]</a>: Fix PushProjectionThroughUnion nullability issue</li> <li><a href="https://issues.apache.org/jira/browse/SPARK-27798">[SPARK-27798]</a>: Fix from_avro not to modify variables in other rows in local mode</li> - <li><a href="https://issues.apache.org/jira/browse/SPARK-27992">[SPARK-27907]</a>: Spark 2.4.3 accidentally throws NPE when HiveUDAF meets 0 rows. Fixed to return NULL like all the other releases.</li> + <li><a href="https://issues.apache.org/jira/browse/SPARK-27907">[SPARK-27907]</a>: Spark 2.4.3 accidentally throws NPE when HiveUDAF meets 0 rows. Fixed to return NULL like all the other releases.</li> <li><a href="https://issues.apache.org/jira/browse/SPARK-27992">[SPARK-27992]</a>: Fix PySpark socket server to sync with JVM connection thread future</li> <li><a href="https://issues.apache.org/jira/browse/SPARK-28015">[SPARK-28015]</a>: Check stringToDate() consumes entire input for the yyyy and yyyy-[m]m formats</li> <li><a href="https://issues.apache.org/jira/browse/SPARK-28308">[SPARK-28308]</a>: CalendarInterval sub-second part should be padded before parsing</li> diff --git a/site/releases/spark-release-2-4-8.html b/site/releases/spark-release-2-4-8.html index b74a180..6588820 100644 --- a/site/releases/spark-release-2-4-8.html +++ b/site/releases/spark-release-2-4-8.html @@ -158,7 +158,7 @@ <li><a href="https://issues.apache.org/jira/browse/SPARK-26645">[SPARK-26645]</a>: CSV infer schema bug infers decimal(9,-1)</li> <li><a href="https://issues.apache.org/jira/browse/SPARK-27575">[SPARK-27575]</a>: Spark overwrites existing value of spark.yarn.dist.* instead of merging value</li> <li><a href="https://issues.apache.org/jira/browse/SPARK-27872">[SPARK-27872]</a>: Driver and executors use a different service account breaking pull secrets</li> - <li><a href="https://issues.apache.org/jira/browse/SPARK-27872">[SPARK-29574]</a>: spark with user provided hadoop doesn’t work on kubernetes</li> + <li><a href="https://issues.apache.org/jira/browse/SPARK-29574">[SPARK-29574]</a>: spark with user provided hadoop doesn’t work on kubernetes</li> <li><a href="https://issues.apache.org/jira/browse/SPARK-30201">[SPARK-30201]</a>: HiveOutputWriter standardOI should use ObjectInspectorCopyOption.DEFAULT</li> <li><a href="https://issues.apache.org/jira/browse/SPARK-32635">[SPARK-32635]</a>: When pyspark.sql.functions.lit() function is used with dataframe cache, it returns wrong result</li> <li><a href="https://issues.apache.org/jira/browse/SPARK-32708">[SPARK-32708]</a>: Query optimization fails to reuse exchange with DataSourceV2</li> diff --git a/site/releases/spark-release-3-1-3.html b/site/releases/spark-release-3-1-3.html index 1176ff6..442a30c 100644 --- a/site/releases/spark-release-3-1-3.html +++ b/site/releases/spark-release-3-1-3.html @@ -163,7 +163,7 @@ <li><a href="https://issues.apache.org/jira/browse/SPARK-36532">[SPARK-36532]</a>: Deadlock in CoarseGrainedExecutorBackend.onDisconnected</li> <li><a href="https://issues.apache.org/jira/browse/SPARK-36489">[SPARK-36489]</a>: Aggregate functions over no grouping keys, on tables with a single bucket, return multiple rows</li> <li><a href="https://issues.apache.org/jira/browse/SPARK-36339">[SPARK-36339]</a>: aggsBuffer should collect AggregateExpression in the map range</li> - <li><a href="https://issues.apache.org/jira/browse/SPARK-36339">[SPARK-35391]</a>: Memory leak in ExecutorAllocationListener breaks dynamic allocation under high load</li> + <li><a href="https://issues.apache.org/jira/browse/SPARK-35391">[SPARK-35391]</a>: Memory leak in ExecutorAllocationListener breaks dynamic allocation under high load</li> </ul> <h3 id="dependency-changes">Dependency Changes</h3> --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org