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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 <[email protected]>
AuthorDate: Wed Feb 23 07:05:03 2022 -0600
Fix wrong issue link
Fix wrong issue link
Author: Angerszhuuuu <[email protected]>
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>
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