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retest this please
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Github user viirya commented on the issue:
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retest this please.
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Github user jiangxb1987 commented on a diff in the pull request:
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Github user gatorsmile commented on the issue:
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Could you please add a test case for verifying the metadata field of the
column will not be lost after adding a comment? Thanks!
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Github user jiangxb1987 commented on the issue:
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@gatorsmile Thank you for your suggestions! I'll update the code this
evening!
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Github user gatorsmile commented on a diff in the pull request:
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--- Diff: sql/core/src/test/resources/sql-tests/inputs/change-column.sql ---
@@ -0,0 +1,53 @@
+-- Create the origin table
+CREATE TABLE
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retest this please.
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Github user jaceklaskowski commented on the issue:
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Just to have the list of the reasons not to accept the changes:
1. @rxin "just fyi this is going to be slower than the original code."
2. @shivaram "Its hard to profile these
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Github user cloud-fan commented on the issue:
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yea, I think we should backport a complete staging dir cleanup
functionality to 1.6, let's wait for #16134
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--- Diff:
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Could you please also add a test case when `spark.sql.caseSensitive` is on?
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retest this please
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Github user cloud-fan commented on the issue:
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sorry it conflict... can you update?
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Github user srowen commented on the issue:
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OK. This PR doesn't move the handling / get rid of SPARK_SUBMIT_OPTS.
Should this then be closed and the JIRA updated?
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Github user tdas closed the pull request at:
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Github user squito commented on the issue:
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thanks for the review @kayousterhout. I also added a testcase to
BlacklistTrackerSuite, "task failure timeout works as expected for long-running
tasksets" to cover your point about the long running
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GitHub user zsxwing opened a pull request:
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[SPARK-18852][SS]StreamingQuery.lastProgress should be null when
recentProgress is empty
## What changes were proposed in this pull request?
Right now `StreamingQuery.lastProgress` throws
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--- Diff:
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@@ -408,6 +411,96 @@ class TaskSchedulerImplSuite extends
GitHub user zsxwing opened a pull request:
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[SPARK-18850][SS]Make StreamExecution serializable
## What changes were proposed in this pull request?
This PR makes StreamExecution serializable because it is too easy for it to
get
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GitHub user tdas reopened a pull request:
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[SPARK-18834][SS] Expose event time stats through StreamingQueryProgress
## What changes were proposed in this pull request?
- Changed `StreamingQueryProgress.watermark` to
Github user zsxwing commented on a diff in the pull request:
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--- Diff:
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@@ -71,7 +71,7 @@ trait ProgressReporter extends
Github user tdas commented on the issue:
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Merging to master and 2.1
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Github user brkyvz commented on the issue:
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Left one comment on updating docs, otherwise LGTM
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Github user kayousterhout commented on a diff in the pull request:
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--- Diff:
core/src/test/scala/org/apache/spark/scheduler/SchedulerIntegrationSuite.scala
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@@ -157,8 +160,16 @@ abstract class
Github user kayousterhout commented on a diff in the pull request:
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--- Diff:
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@@ -27,6 +27,9 @@ import scala.language.existentials
Github user zsxwing commented on the issue:
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Thanks! Merging to 2.1 and 2.0.
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LGTM
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@@ -312,6 +313,24 @@ class StreamingQuerySuite extends
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Github user marmbrus commented on the issue:
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LGTM
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--- Diff:
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Github user nsyca commented on the issue:
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@hvanhovell, I really appreciate your time reviewing my code. I have
addressed all your four comments. Thanks!
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Github user jkbradley commented on a diff in the pull request:
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@@ -344,27 +344,30 @@ class IsotonicRegression private
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Merged into master and branch-2.1. The last commit passed Jenkins.
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LGTM
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--- Diff:
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---
@@ -312,6 +313,24 @@ class StreamingQuerySuite extends
Github user hvanhovell commented on the issue:
https://github.com/apache/spark/pull/16246
LGTM - pending jenkins.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16270
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16273
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/16266
Let me try to fix the tests accordingly.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16158
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