Github user hvanhovell commented on a diff in the pull request:
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--- Diff:
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---
@@ -263,11 +295,21 @@ case class Invoke(
Github user mn-mikke commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -3046,6 +3036,16 @@ object functions {
ArrayContains(column.expr,
Github user sujithjay commented on the issue:
https://github.com/apache/spark/pull/20821
Hi @weiwee , I have a few questions about this contribution:
1. What are the use cases for which this partitioning strategy is more
suitable, compared to the existing strategies?
2. You
Github user hvanhovell commented on the issue:
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@Fokko upgrading guava has been notoriously hard to do, it is used in a lot
Spark's dependencies and the guava developers aggressively remove deprecated
APIs; updating can easily break stuff
Github user srowen commented on the issue:
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Agree, this is the problem. If there is no actual improvement or fix in the
upgrade here, no value in doing this.
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cc @viirya too before merging it.
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@foxish fixed
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Jenkins, test this please
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--- Diff:
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@@ -287,3 +289,152 @@ case class
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--- Diff:
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@@ -699,3 +699,88 @@ abstract class
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Github user retronym commented on the issue:
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I'm happy to help, but I would appreciate if someone could pose the
question you have about the lambda encoding / `SerializedLambda` in a
standalone fashion.
In the meantime, here are
Github user WeichenXu123 commented on a diff in the pull request:
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--- Diff: mllib/src/test/scala/org/apache/spark/ml/feature/NGramSuite.scala
---
@@ -84,7 +84,7 @@ class NGramSuite extends MLTest with
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--- Diff:
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@@ -385,7 +385,9 @@ case class LoadDataCommand(
Github user skonto commented on the issue:
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@vanzin gentle ping.
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--- Diff:
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@@ -48,8 +46,8 @@ class MinMaxScalerSuite extends SparkFunSuite
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--- Diff:
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@@ -76,6 +75,28 @@ class ImputerSuite extends SparkFunSuite with
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--- Diff:
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@@ -45,9 +44,9 @@ class MaxAbsScalerSuite extends SparkFunSuite
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--- Diff:
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@@ -167,4 +166,20 @@ class MinHashLSHSuite extends SparkFunSuite
Github user retronym commented on the issue:
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Another, semi-nuclear option is to use an unsupported option of
`LambdaMetafactory` to dump generated classfiles to disk.
```
â¡ mkdir /tmp/dump
Github user skonto commented on the issue:
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@susanxhuynh the cache represents the ticket for the superuser since he
needs to create a DT as nobody to impersonate nobody. The superuser has the
right to impersonate. The ticket cache replaces
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Gentle ping @gatorsmile @dongjoon-hyun ð
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@cloud-fan
I compared the performance of TPC-DS using modified maropu's script between
this PR and master.
I collected average performance of 20 trials of each query.
Here is
Github user wzhfy commented on a diff in the pull request:
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--- Diff:
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@@ -385,7 +385,9 @@ case class LoadDataCommand(
val
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retest this please
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@yanji84 you are the author, do you see the option to reopen this PR in
github.com?
if not, feel free to open a new PR and @ me there
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--- Diff:
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@@ -188,6 +188,9 @@ private[hive] class
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--- Diff: docs/job-scheduling.md ---
@@ -215,6 +215,9 @@ pool), but inside each pool, jobs run in FIFO order.
For example, if you create
means that
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---
@@ -506,6 +506,10 @@
Github user srowen commented on the issue:
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@retronym thanks for joining this thread -- good to see you here.
In short, as you probably know, Spark needs to serialize lambdas to execute
them remotely. Sometimes, the lambda
Github user viirya commented on the issue:
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ping @hvanhovell Do you have any more comments? Thanks.
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--- Diff: core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala ---
@@ -197,6 +197,7 @@ class HadoopRDD[K, V](
val jobConf = getJobConf()
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bq. I think we could separate cloud related stuffs to another PR, and fix
only build related stuff in this PR
OK
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--- Diff:
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@@ -685,6 +685,17 @@ object SQLConf {
.intConf
Github user steveloughran commented on the issue:
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@jerryshao the latest revision only has the POM changes, and that also
excludes the build profile option to compile the hadoop-3 source trees
It also switches the hadoop 3.1 version
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@gatorsmile Is #20961 crazy to do? It makes sure all the origins are kept
correctly after analyzing, so future refactor won't cause similar issue. But
not sure whether that behavior should be
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For usability, the workaround I suggested above has more flexibility. For
example, we can make different operation (e.g, filter) on schema inference
path. They are only few lines.
Github user MaxGekk commented on the issue:
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@rxin I made an experiment on json files but numbers for csv are almost the
same. For example, inferring schema for 50GB json:
```
scala> spark.read.option("samplingRatio",
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Merged to master and branch-2.3.
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*/
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--- Diff: docs/job-scheduling.md ---
@@ -215,6 +215,9 @@ pool), but inside each pool, jobs run in FIFO order.
For example, if you create
means that
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@xubo245 please close this if the other PR supersedes.
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[SPARK-23857][Mesos] remove keytab check in mesos cluster mode at first
submit time
## What changes were proposed in this pull request?
- Removes the check for the keytab when we are running in
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@gatorsmile @xubo245 what is the status of this?
Can we also get a better description on this? What exactly is the bug,
what does the user see? Does set location work at all?
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--- Diff: docs/job-scheduling.md ---
@@ -215,6 +215,9 @@ pool), but inside each pool, jobs run in FIFO order.
For example, if you create
means
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--- Diff: pom.xml ---
@@ -2671,6 +2671,15 @@
+
+ hadoop-3
+
+3.1.0-SNAPSHOT
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@susanxhuynh pls review.
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/20560
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/20701
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Github user mshtelma commented on the issue:
https://github.com/apache/spark/pull/20913
I have added the unit case for this particular situation
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