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Thanks for working on this, the PR is super huge though is it possible to
break into smaller chunks?
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cc: @tdas can you enable CI on this
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aokolnychyi commented on a change in pull request #32921:
URL: https://github.com/apache/spark/pull/32921#discussion_r658936118
##
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##
@@ -66,10 +71,33 @@ object PartitionPru
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@tdas can you enable CI on this
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rahulsmahadev opened a new pull request #33093:
URL: https://github.com/apache/spark/pull/33093
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### Why are the changes needed?
### Does this PR introduce _any_ user-facing change?
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FYI @dongjoon-hyun
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AngersZh opened a new pull request #33092:
URL: https://github.com/apache/spark/pull/33092
### What changes were proposed in this pull request?
Fix UT mistake in SQLQuerySuite
### Why are the changes needed?
Fix UT mistake in SQLQuerySuite
### Does this PR int
AngersZh commented on pull request #33082:
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ping @cloud-fan @maropu @wangyum @Ngone51
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holdenk commented on a change in pull request #33008:
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##
@@ -0,0 +1,35 @@
+/*
+ * Licensed to the Apache Softw
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+/*
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sunchao commented on a change in pull request #32753:
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##
@@ -17,13 +17,31 @@
package org.apach
holdenk commented on a change in pull request #32921:
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##
@@ -17,38 +17,91 @@
package org.apache.spar
holdenk commented on a change in pull request #32921:
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##
@@ -631,6 +631,19 @@ object DataSourceStrate
vkorukanti opened a new pull request #33091:
URL: https://github.com/apache/spark/pull/33091
### What changes were proposed in this pull request?
Currently the `StateOperatorProgress` in `StreamingQueryProgress` is missing
few metrics.
### Why are the changes need
holdenk commented on a change in pull request #32921:
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File path:
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##
@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Ap
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@@ -0,0 +1,61 @@
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karenfeng commented on a change in pull request #32850:
URL: https://github.com/apache/spark/pull/32850#discussion_r658917625
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@@ -0,0 +1,86 @@
+/*
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rdblue commented on pull request #32921:
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> The current logic will never introduce new shuffles and is very close to
the existing approach for v1 tables.
I think this looks good.
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rdblue commented on a change in pull request #32921:
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package org.apache.spark
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xkrogen commented on pull request #32810:
URL: https://github.com/apache/spark/pull/32810#issuecomment-868667554
Thank you @tgravescs ! Your comments along the way were much appreciated.
I put up a `branch-3.1` backport at #33090.
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xkrogen opened a new pull request #33090:
URL: https://github.com/apache/spark/pull/33090
### What changes were proposed in this pull request?
Refactor the logic for constructing the user classpath from
`yarn.ApplicationMaster` into `yarn.Client` so that it can be leveraged on the
execu
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dongjoon-hyun closed pull request #33088:
URL: https://github.com/apache/spark/pull/33088
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arghya18 commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-868536148
@steveloughran Thanks for the suggestion.
Can anyone help me with steps (or Dockerfile) to change hadoop version in
prebuilt spark docker image with Hadoop if available han
vkorukanti commented on a change in pull request #33065:
URL: https://github.com/apache/spark/pull/33065#discussion_r658800635
##
File path:
sql/core/src/test/scala/org/apache/spark/sql/streaming/StateStoreMetricsTest.scala
##
@@ -76,6 +76,41 @@ trait StateStoreMetricsTest ext
HeartSaVioR commented on pull request #33085:
URL: https://github.com/apache/spark/pull/33085#issuecomment-868533548
Rebased to contain #33084 , and fixed one missed spot in this PR. style
check should pass now.
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steveloughran commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-868530293
the parquet EOF fix is also in hadoop-3.2.2, so you could try that. However,
testing with 3.3.1 is better because
1. we can do workarounds in spark before the releas
tgravescs commented on pull request #32810:
URL: https://github.com/apache/spark/pull/32810#issuecomment-868518131
merged to master, it wasn't a clean merge to branch-3.1, were you wanting to
get it into that, if so could you put up separate pr?
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tgravescs commented on pull request #32810:
URL: https://github.com/apache/spark/pull/32810#issuecomment-868515983
looks like the tests passed in the normal QA build and different tests
failed this run, so I'll merge
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steveloughran commented on pull request #30135:
URL: https://github.com/apache/spark/pull/30135#issuecomment-868515080
@arghya18
1. we havent seen HADOOP-17755 in any of our testing, unless it is
HADOOP-16109
2. still waiting on that JIRA for you to provide config details. Like I've
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