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A late LGTM!
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Done.
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Allow providing Mesos principal & secret via files (SPARK-16501)
## What changes were proposed in this pull request?
This commit modifies the Mesos submission client to allow the principal
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--- Diff: core/src/test/scala/org/apache/spark/ThreadAudit.scala ---
@@ -0,0 +1,126 @@
+/*
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@@ -27,19 +27,55 @@ import org.apache.spark.util.AccumulatorContext
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ARGs can have default values, so we could do that if we decide to use the
Docker Hub infra.
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Can one of the admins verify this patch?
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SPARK-22730 Add ImageSchema support for non-integer image formats
## What changes were proposed in this pull request?
Added functionality to handle all OpenCV modes to ImageSchema:
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@@ -85,6 +93,34 @@ class
Github user vanzin commented on the issue:
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> I wonder which changes double the disk usage?
It's the new indices, more explicitly the values, not the keys. I tried
changing the disk layout to write all the indices in a new namespace
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package org.apache.spark.sql.test
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Github user liyinan926 commented on the issue:
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@vanzin it seems using `ARG` in `FROM` is only supported since Docker
version 17.06. It does not work for earlier versions of Docker. See
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Github user CodingCat commented on the issue:
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@jerryshao I mean we also need to provide BaseReporter trait
```scala
trait Sink {
protected val reporter: BaseReporter = createReporter()
def createReporter():
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[SPARK-17088][hive] Fix 'sharesHadoopClasses' option when creating client.
Because the call to the constructor of HiveClientImpl crosses class loader
boundaries, different versions of the same
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LGTM, thanks!
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Thanks! Merging with master and branch-2.3
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[SPARK-22960][K8S] Revert use of ARG base_image in images
## What changes were proposed in this pull request?
This PR reverts the `ARG base_image` before `FROM` in the images of driver,
Github user vanzin commented on the issue:
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LGTM. I'll merge when tests finish even though this doesn't affect them.
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lgtm!
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ok to test
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@@ -0,0 +1,435 @@
+/*
+ * Licensed to the Apache
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Github user viirya commented on the issue:
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Seems to me we can't set string indexer order for R glm.
A workaround is to encode the Species manually first. Then let R glm and
spark.glm to fit the encoded Species column, instead of the
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+/*
+ * Licensed to
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+/*
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Merging to master / 2.3.
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LGTM
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cc @WeichenXu123 @yanboliang
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+/*
+ *
Github user HyukjinKwon commented on the issue:
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@ueshin @icexelloss @cloud-fan @rednaxelafx, which one would you prefer?
To me, I like 1 at most. If the perf diff is trivial, 2. is also fine. If
3. works fine, I think I am also fine
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LGTM except for the one minor comment
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https://github.com/apache/spark/pull/20168#discussion_r160016683
--- Diff: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala
---
@@ -37,20 +37,51 @@ import org.apache.spark.sql.types._
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/20168
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Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/20142#discussion_r160017026
--- Diff: python/pyspark/sql/tests.py ---
@@ -3567,6 +3580,18 @@ def tearDownClass(cls):
time.tzset()
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