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Github user windpiger commented on the issue:
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thanks, I will keep track of this after hive and datasource unified .
https://github.com/apache/spark/pull/16549/files#r95670788
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Github user viirya commented on the issue:
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@vijoshi Can you solve the conflict?
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Jenkins retest this please
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@gatorsmile okay, fixed.
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@brkyvz I asked AWS guys and I found correct handling in this case (See:
https://forums.aws.amazon.com/thread.jspa?threadID=244218). I fixed in this way
and could you check this again? Thanks!
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
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@@ -29,40 +29,31 @@ import org.apache.spark.sql.catalyst.rules
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Github user jiangxb1987 commented on a diff in the pull request:
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--- Diff:
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---
@@ -29,40 +29,31 @@ import org.apache.spark.sql.catalyst.rul
GitHub user themodernlife opened a pull request:
https://github.com/apache/spark/pull/16563
[SPARK-17568][CORE][DEPLOY] Add spark-submit option to override ivy
settings used to resolve packages/artifacts
Backports #15119 to the 2.1 branch. Is it possible to include this in
Spark
Github user jiangxb1987 commented on a diff in the pull request:
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--- Diff:
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@@ -29,40 +29,31 @@ import org.apache.spark.sql.catalyst.rul
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Can one of the admins verify this patch?
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Thank you so much, @srowen !
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Github user tejasapatil commented on the issue:
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can anyone please review this PR ?
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Github user gatorsmile commented on the issue:
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LGTM
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Github user felixcheung commented on the issue:
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merged to master. thanks!
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Github user asfgit closed the pull request at:
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Thanks! Merging to master/2.1.
Could you please open a PR to backport it to 2.0?
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@maropu JIRA is down. Will update the JIRA later.
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Github user imatiach-msft commented on a diff in the pull request:
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--- Diff:
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---
@@ -91,8 +91,8 @@ private[classification] trait Logisti
Github user imatiach-msft commented on a diff in the pull request:
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--- Diff:
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@@ -91,8 +91,8 @@ private[classification] trait Logisti
Github user rdblue commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/session.py ---
@@ -214,8 +214,12 @@ def __init__(self, sparkContext, jsparkSession=None):
self._wrapped = SQLContext(
Github user rdblue commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/session.py ---
@@ -161,8 +161,8 @@ def getOrCreate(self):
with self._lock:
from pyspark.cont
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Github user imatiach-msft commented on a diff in the pull request:
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--- Diff:
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Github user imatiach-msft commented on the issue:
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It looks like you can also update the metric name in the evaluators
(binary, regression, multiclass) as well. Those should be case-insensitive
too, I think.
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Github user nsyca commented on the issue:
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@sarutak would your code be able to solve this ambiguity of df("a") in the
join condition?
val df = Seq((1,0), (2,1)).toDF("a","b")
val df1 = df.filter(df("b") > 0)
val result
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/16550#discussion_r95850028
--- Diff:
common/unsafe/src/main/java/org/apache/spark/unsafe/types/UTF8String.java ---
@@ -835,6 +835,187 @@ public UTF8String translate(Map
dict) {
Github user imatiach-msft commented on the issue:
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it looks like a random test timed out:
org.apache.spark.scheduler.BasicSchedulerIntegrationSuite.job with fetch
failure
Error Details
java.util.concurrent.TimeoutException: Futures
Github user imatiach-msft commented on the issue:
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Jenkins retest this please
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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/cast.sql ---
@@ -0,0 +1,43 @@
+-- cast string representing a valid fractional number to integral
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Jenkins, retest this please
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LGTM, after re-checking the corresponding Hive code and change history
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Github user gatorsmile commented on the issue:
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: ) It could be caused by the latest merge of
https://github.com/apache/spark/pull/16233
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Github user vanzin commented on the issue:
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We don't usually backport features to maintenance releases. It'd be sort of
ok if this were more trivial than it is, so I don't think this is a good idea.
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Github user gatorsmile commented on the issue:
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Let us know if you are unable to figure it out.
BTW, you should update the `hashCode` function too, like what you did in
`equals`.
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Github user vanzin commented on the issue:
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ok to test
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Github user jkbradley commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/clustering/GaussianMixture.scala ---
@@ -130,6 +130,25 @@ class GaussianMixtureModel private[ml] (
Github user hl475 commented on the issue:
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@srowen: We donât use LAPACK here since there is no pivoted QR in LAPACK
that stops when the rank is exhausted. This is highlighted in the inline
comments [563 to
565](https://github.com/apache/spa
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https://github.com/apache/spark/pull/16516#discussion_r95858814
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -365,7 +365,7 @@ class LogisticRegression @Since("1.2.0"
Github user jkbradley commented on the issue:
https://github.com/apache/spark/pull/16415
Thanks for the update. By "specify the storage level via a Param," I meant
a public ```Param``` type in the the GBT API. Can you please check out other
Params for examples and update this?
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/16503
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16503
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Github user AmplabJenkins commented on the issue:
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GitHub user zsxwing opened a pull request:
https://github.com/apache/spark/pull/16564
[SPARK-19065][SS]Rewrite Alias in StreamExecution if necessary
## What changes were proposed in this pull request?
`dropDuplicates` will create an Alias using the same exprId, so
`StreamEx
Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/16534
Improving UDF Docstrings for Python seems like a good idea, but at the cost
of breaking the public API in a point release I think it might make sense for
us to do the more work approach unless there
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16564
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Github user zsxwing commented on the issue:
https://github.com/apache/spark/pull/16564
cc @marmbrus @liancheng
There may be similar issues in other SQL codes. Maybe we should revert
#15427?
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Github user ash211 commented on the issue:
https://github.com/apache/spark/pull/16503
@jinxing64 can you please fix the failing Scala style tests?
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Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/16542#discussion_r95864979
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/scheduler/JobScheduler.scala
---
@@ -200,19 +200,19 @@ class JobScheduler(val ssc: StreamingCo
Github user shivaram commented on a diff in the pull request:
https://github.com/apache/spark/pull/16512#discussion_r95865135
--- Diff: R/pkg/inst/tests/testthat/test_sparkSQL.R ---
@@ -196,6 +196,12 @@ test_that("create DataFrame from RDD", {
expect_equal(dtypes(df), list(c(
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16523
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