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cc @srowen also
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Github user rxin commented on the issue:
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hm guys please donât use the end-to-end tests to test expression
behavior. use unit tests which automatically tests code gen, interpreted, and
different data types.
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cc @gatorsmile @cloud-fan @hvanhovell
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@gatorsmile Do I have to do additional things for this PR?
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ping @gatorsmile
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cc @cloud-fan @gatorsmile
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Github user kiszk commented on the issue:
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It is due to differences among CPU architectures. Here are original outputs
of `/proc/info`
It is used to identify CPU architecture and its model.
**POWER**
```
> cat /proc/cpuinfo
Github user srowen commented on the issue:
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Yeah I get that, but does it cause a problem? it won't if it's just for
display, but that's what I'm asking.
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Does this really matter? I'd rather not complicate the actual code for it
to display properly in some niche hardware that very few people use.
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@srowen
Thanks for your reply. I made changes based on your opinion.Please review
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -1004,6 +1004,7 @@ private[spark] object Utils extends Logging {
for (ch
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@srowen
Thanks for your patience. I modified again.Please review it.
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GitHub user wangyum opened a pull request:
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[SPARK-20754][SQL] Support TRUNC (number)
## What changes were proposed in this pull request?
Add support for `TRUNC(number)`, it's similar to Oracle
[TRUNC(number)](https://docs.oracle.co
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GitHub user tdas opened a pull request:
https://github.com/apache/spark/pull/18107
[SPARK-20883][SPARK-20376][SS] Refactored StateStore APIs and added conf to
choose implementation
## What changes were proposed in this pull request?
A bunch of changes to the StateStore
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--- Diff:
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@@ -552,6 +552,15 @@ object SQLConf {
.booleanConf
.cre
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/** Trait
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@@ -47,31 +60,25 @@ trait StateStore {
/** Versio
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--- Diff:
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@@ -25,7 +25,7 @@ import org.apache.spark.sql.internal.
Github user cloud-fan commented on the issue:
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retest this please
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@@ -426,36 +418,35 @@ case class DataSource(
/
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Github user liu-zhaokun commented on the issue:
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I found there are some mistakes.So I modify the PR again.Please review it.
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Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -1015,7 +1015,9 @@ private[spark] object Utils extends Logging {
Sh
GitHub user liu-zhaokun opened a pull request:
https://github.com/apache/spark/pull/18108
[SPARK-20884] Spark' masters will be both standby due to the bug of curator
[https://issues.apache.org/jira/browse/SPARK-20884](https://issues.apache.org/jira/browse/SPARK-20884)
I built a
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Can one of the admins verify this patch?
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--- Diff:
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@@ -86,12 +86,10 @@ private[kafka010] object KafkaWr
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--- Diff:
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---
@@ -533,13 +533,16 @@ class AstBuilder(conf: SQLConf) extends
Github user yanboliang commented on the issue:
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Merged into master and branch-2.2. Thanks for reviewing.
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Github user asfgit closed the pull request at:
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--- Diff:
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@@ -294,32 +294,31 @@ private[hive] class TestHiveSparkSession(
Github user yanboliang commented on the issue:
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@facaiy Could you resolve merge conflicts? Then I can get this in. Thanks.
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@HyukjinKwon
Thanks for your reply. I made changes based on your opinion.Please review
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Github user cloud-fan commented on the issue:
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I think option 2 is better. `ColumnVector.getArray()` should be as fast as
possible. The caller side may just get an element from this array and then the
final projection doesn't need to copy an a
Github user jerryshao commented on the issue:
https://github.com/apache/spark/pull/17113
Jenkins, retest this please.
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/optim/aggregator/LeastSquaresAggregator.scala
---
@@ -0,0 +1,224 @@
+/*
+ * Licensed to the Apach
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--- Diff:
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@@ -0,0 +1,88 @@
+/*
+ * Licensed to the
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---
@@ -0,0 +1,68 @@
+/*
+ * Licensed to the Apache
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Github user cloud-fan commented on the issue:
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I think we should always trust Spark's table stats over Hive's, no matter
CBO is on or not. If users update the stats at hive side, it's their own
responsibility to update it at Spark side.
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Github user facaiy commented on the issue:
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Resolved.
By the way,
Which one is preferable, rebase or merge?
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17770#discussion_r118479696
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -203,7 +206,7 @@ class Dataset[T] private[sql](
* `fromRow` method late
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