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Github user jomach commented on the issue:
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We have some servers running 8 GPUs on mesos. I would like to run Spark on
it but I need to be able from spark to allocate a GPU only per map phase. On
Hadoop 3.0 you can do
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[SPARK-26006][mllib] unpersist 'dataInternalRepr' in the PrefixSpan
## What changes were proposed in this pull request?
Mllib's Prefixspan - run method - cached RDD stays in cache. After run
Github user cloud-fan commented on a diff in the pull request:
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
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--- Diff: project/MimaExcludes.scala ---
@@ -105,7 +105,50 @@ object MimaExcludes {
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cc @srowen @gatorsmile
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[BUILD][2.4] Bump previousSparkVersion in MimaBuild.scala to be 2.3.0
## What changes were proposed in this pull request?
Although it's a little late, we should still update mima for
Github user zsxwing commented on the issue:
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> Provide additional option: delete (two options - 'rename' / 'delete' -
are mutually exclusive)
>
> Actually the actions end users are expected to take are 1. moving to
archive directory
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Github user dongjinleekr commented on the issue:
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cc/ @zsxwing @tdas @dongjoon-hyun @srowen Rebased onto the latest master.
Please have a look when you are free. Thanks in advance.
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[MINOR][SQL] Add disable bucketedRead workaround when throw RuntimeException
## What changes were proposed in this pull request?
It will throw `RuntimeException` when read from bucketed
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Github user xuanyuanking commented on the issue:
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Thanks @mgaido91 @cloud-fan
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--- Diff: python/pyspark/tests.py ---
@@ -618,10 +618,13 @@ def test_barrier_with_python_worker_reuse(self):
"""
Verify that
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--- Diff: R/pkg/R/SQLContext.R ---
@@ -172,36 +257,72 @@ getDefaultSqlSource <- function() {
createDataFrame <- function(data, schema = NULL,
Github user viirya commented on a diff in the pull request:
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--- Diff: R/pkg/R/SQLContext.R ---
@@ -172,36 +257,72 @@ getDefaultSqlSource <- function() {
createDataFrame <- function(data, schema = NULL,
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/api/r/SQLUtils.scala
---
@@ -225,4 +226,25 @@ private[sql] object SQLUtils extends Logging {
Github user HyukjinKwon commented on the issue:
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@boy-uber, for structured streaming, let's do it out of this PR. I think
the actual change of this PR can be small (1.). We can change this API for
structured streaming later if needed since
Github user MaxGekk commented on the issue:
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@HyukjinKwon @cloud-fan Thank you for looking at the PR.
So, if I split the PR to 2 PRs:
1. Writing truncated plans to a file
2. Control number of fields in truncated strings.
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[SPARK-25023] More detailed security guidance for K8S
## What changes were proposed in this pull request?
Highlights specific security issues to be aware of with Spark on K8S and
Github user ueshin commented on a diff in the pull request:
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--- Diff:
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@@ -154,6 +154,15 @@ object Cast {
fromPrecedence
Github user HyukjinKwon commented on the issue:
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I took a super quick pass - the change actually quite looks okay in general
to me.
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--- Diff:
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@@ -1813,6 +1817,7 @@ class JsonSuite extends
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/limit.scala ---
@@ -176,9 +176,9 @@ case class TakeOrderedAndProjectExec(
Github user HyukjinKwon commented on the issue:
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@MaxGekk, couple of questions for its implementation from a cursory look.
It's the implementation is complicated here:
1. it tries to use writer and avoid to construct the
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--- Diff:
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@@ -1115,6 +1115,7 @@ class JsonSuite extends
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--- Diff:
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@@ -550,15 +550,23 @@ case class JsonToStructs(
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cc @cloud-fan @vanzin
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@cloud-fan
> This is hard to review, do you mean we should add maxFields: Option[Int]
to all the string related methods?
Not to all but only to methods involved to producing
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yes, I agree with @cloud-fan , this can create wrong results with nulls...
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--- Diff:
core/src/main/scala/org/apache/spark/serializer/KryoSerializer.scala ---
@@ -338,7 +338,7 @@ private[spark] class KryoSerializerInstance(ks:
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LGTM
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@dbtsai sure, thanks. Sorry for bothering you. Have a nice vacation!
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
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@@ -1268,4 +1269,16 @@ class SubquerySuite extends QueryTest with
Github user gvramana commented on the issue:
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> > How should we do if we wanna join two kafka stream and sink the result
to another stream?
> > `insert into kafka_sql_out select stream t1.value from (select
cast(value as string),
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
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LGTM except a few comments, good job!
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do you have some benchmark numbers?
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retest this please
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ok to test
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retest this please
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retest this please
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