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Since adding a switch for cbo is not a trivial one, I want to do it in a
separate pr, and let this one only deal with decoupling Statistics from
CatalogTable. Do you agree? @cloud-fan
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--- Diff:
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@@ -180,11 +181,41 @@ case class StateStoreSaveExec(
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--- Diff:
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@@ -511,12 +537,20 @@ private[kafka010] object
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Github user HyukjinKwon commented on the issue:
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This is actually the message users face in some cases. Isn't it :)?
```scala
val df1 = spark.range(10).selectExpr("id as intcol", "cast(id as int) as
longcol")
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[SPARK-18958][SPARKR] R API toJSON on DataFrame
## What changes were proposed in this pull request?
It would make it easier to integrate with other component expecting JSON
format.
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Github user viirya commented on the issue:
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One question: should we do the same thing for `WorkerState.DECOMMISSIONED`
and `WorkerState.UNKNOWN` ?
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--- Diff:
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@@ -198,6 +200,10 @@ case class CatalogTable(
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[SPARK-18954]Fix flaky test: o.a.s.streaming.BasicOperationsSuite rdd
cleanup - map and window
## What changes were proposed in this pull request?
The issue in this test is the cleanup of
Github user rxin commented on the issue:
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Thanks - merging in master.
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test this please
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Github user bravo-zhang commented on the issue:
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Thanks for the review @HyukjinKwon !
Are your stacktrace of Before and After swapped?
Do you mean the message is confusing? How about correcting it to `Failed to
merge field longcol:
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yeah, i don't think we need the unit test for 2.0
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[BUILD] make-distribution should find JAVA_HOME for non-RHEL systems
## What changes were proposed in this pull request?
make-distribution.sh should find JAVA_HOME for Ubuntu, Mac and
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GitHub user bravo-zhang opened a pull request:
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[SPARK-18950][SQL] Report conflicting fields when merging two StructTypes
## What changes were proposed in this pull request?
Currently, StructType.merge() only reports data types of
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@tdas Can you also please update pyspark docs:
https://github.com/apache/spark/blob/master/python/pyspark/sql/streaming.py#L659
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--- Diff: dev/sparktestsupport/modules.py ---
@@ -245,7 +245,8 @@ def __hash__(self):
name="streaming-kafka-0-10",
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Github user HyukjinKwon commented on the issue:
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Dho, yeap, I just edited. I just simply meant I support this PR :).
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Merging this master and 2.1
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Github user tdas commented on the issue:
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LGTM. Did you run it many times?
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Github user lirui-intel commented on the issue:
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I don't think the failure is related, and it can't be reproduced locally.
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Github user kevinyu98 commented on the issue:
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Hello All:
I have divided the test case to small groups based the discussion, and this
pr will be the first pr for the IN subquery, it covers the simple and group-by
cases.
This the
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Github user gatorsmile commented on the issue:
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Sure, let me do it now.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16369
**[Test build #70460 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/70460/testReport)**
for PR 16369 at commit
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/16352#discussion_r93390578
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/api/r/SQLUtils.scala
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@@ -276,11 +276,12 @@ private[sql] object SQLUtils extends Logging {
GitHub user uncleGen opened a pull request:
https://github.com/apache/spark/pull/16370
[SPARK-18960][SQL][SS] Avoid double reading file which is being copied.
## What changes were proposed in this pull request?
In HDFS, when we copy a file into target directory, there will
Github user kayousterhout commented on the issue:
https://github.com/apache/spark/pull/12775
Jenkins, retest this please
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