Github user xuanyuanking commented on the issue:
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cc @tdas and @jose-torres
#20225 gives a quickly fix for task level retry, this is just an attempt
for a maybe better implementation. Please let me know if I do something wrong
or have
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[SPARK-23033][SS][Follow Up] Task level retry for continuous processing
## What changes were proposed in this pull request?
Here we want to reimplement the task level retry for
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/18581
Sure, will try to separate this. Will update my PRs soon roughly within
this week.
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--- Diff:
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@@ -45,38 +45,135 @@
*/
public static final int
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -393,13 +395,16 @@ def csv(self, path, schema=None, sep=None,
encoding=None, quote=None, escape=Non
Github user cloud-fan commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -209,13 +209,15 @@ def json(self, path, schema=None,
primitivesAsString=None, prefersDecimal=None,
Github user kiszk commented on a diff in the pull request:
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--- Diff:
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@@ -45,38 +45,135 @@
*/
public static final int
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -209,13 +209,15 @@ def json(self, path, schema=None,
primitivesAsString=None, prefersDecimal=None,
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/20553
> This is to avoid changing the semantics of spark.executor.cores and
spark.task.cpus and their role in task scheduling, task parallelism, dynamic
resource allocation, etc. The new configuration
Github user HyukjinKwon commented on the issue:
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cc @felixcheung (I saw you and Felix in dev mailing list). So,
https://github.com/apache/spark/tree/master/R#generating-documentation does not
work?
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Why we need this cache?
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Github user jerryshao commented on the issue:
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Will review it soon. ð
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--- Diff:
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@@ -50,12 +52,11 @@
// These are only updated by
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--- Diff:
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@@ -19,15 +19,24 @@
import
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@@ -45,38 +44,149 @@
*/
public static final int
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*/
public static final int
Github user liyinan926 commented on the issue:
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The value of `spark.executor.cores` will be used to set cpu request for the
executor pods if `spark.kubernetes.executor.cores` is not set.
`spark.driver.cores` already allows fractional values
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What is the default value if it is not configured, how do K8S control the
CPU usage by default?
Also it seems that user may configure how to differentiate between k8s
executor cores and
Github user misutoth commented on the issue:
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Sorry, I missed these comments. As I understood we fix all of them here. I
am just struggling with the R documentation: it seems the generated doc is
incorrect even if I just take the latest
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[SPARK-23465][SQL] Introduce new function to rename columns using an
algoritm
## What changes were proposed in this pull request?
Add an additional convenient method to rename multiple
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--- Diff: core/src/test/scala/org/apache/spark/JobCancellationSuite.scala
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@@ -320,6 +319,55 @@ class JobCancellationSuite extends SparkFunSuite with
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Jenkins, retest this please.
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--- Diff: core/src/test/scala/org/apache/spark/JobCancellationSuite.scala
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@@ -18,15 +18,14 @@
package org.apache.spark
import
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--- Diff:
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@@ -104,9 +104,16 @@ private[spark] class
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@@ -387,6 +390,143 @@ case class CatalogStatistics(
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--- Diff: python/pyspark/sql/readwriter.py ---
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Github user cloud-fan commented on the issue:
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It looks like this line separator has to be handled by each data source
individually, can we start with, e.g., json, and then csv, text, etc.? Then we
can have smaller PRs that would be easier to
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Github user guoxiaolongzte commented on the issue:
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Well, for now, I don't have a better solution.
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Oh, I just think it adds to make it clearer.
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retest this please
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Github user KaiXinXiaoLei commented on the issue:
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@srowen i redescribe the problem. Now i hive a small table `ls` with one
row , and a big table `catalog_sales` with One hundred billion rows. And in the
big table, the non null value about
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--- Diff:
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@@ -58,15 +58,20 @@ object
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@@ -1059,22 +1054,22 @@ private[spark] class
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@@ -154,4 +156,120 @@ case class
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--- Diff: core/src/main/scala/org/apache/spark/util/JsonProtocol.scala ---
@@ -100,7 +102,16 @@ private[spark] object JsonProtocol {
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package org.apache.spark.util
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[SPARK-23515] Use input/output streams for large events in
JsonProtocol.sparkEventToJson
## What changes were proposed in this pull request?
`def sparkEventToJson(event:
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