[GitHub] [spark] mengxr commented on issue #24484: [SPARK-27472] add user guide for binary file data source

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mengxr commented on issue #24484: [SPARK-27472] add user guide for binary file 
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URL: https://github.com/apache/spark/pull/24484#issuecomment-487456424
 
 
   cc: @WeichenXu123 @HyukjinKwon @cloud-fan


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[GitHub] [spark] SparkQA removed a comment on issue #24484: [SPARK-27472] add user guide for binary file data source

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[GitHub] [spark] mengxr commented on issue #24483: [SPARK-27588] Binary file data source fails fast and doesn't attempt to read very large files

2019-04-28 Thread GitBox
mengxr commented on issue #24483: [SPARK-27588] Binary file data source fails 
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URL: https://github.com/apache/spark/pull/24483#issuecomment-487456403
 
 
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[GitHub] [spark] SparkQA commented on issue #24484: [SPARK-27472] add user guide for binary file data source

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[GitHub] [spark] SparkQA commented on issue #24484: [SPARK-27472] add user guide for binary file data source

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[GitHub] [spark] SparkQA removed a comment on issue #24482: [SPARK-27581][SQL] DataFrame countDistinct("*") shouldn't fail with AnalysisException

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[GitHub] [spark] mengxr commented on a change in pull request #24484: [SPARK-27472] add user guide for binary file data source

2019-04-28 Thread GitBox
mengxr commented on a change in pull request #24484: [SPARK-27472] add user 
guide for binary file data source
URL: https://github.com/apache/spark/pull/24484#discussion_r279238983
 
 

 ##
 File path: docs/sql-data-sources.md
 ##
 @@ -54,4 +54,5 @@ goes into specific options that are available for the 
built-in data sources.
   * [Compatibility with Databricks 
spark-avro](sql-data-sources-avro.html#compatibility-with-databricks-spark-avro)
   * [Supported types for Avro -> Spark SQL 
conversion](sql-data-sources-avro.html#supported-types-for-avro---spark-sql-conversion)
   * [Supported types for Spark SQL -> Avro 
conversion](sql-data-sources-avro.html#supported-types-for-spark-sql---avro-conversion)
+* [Whole Binary Files](sql-data-sources-binaryFile.html)
 
 Review comment:
   Use `Whole Binary Files` to indicate that this is loading each file as a 
whole record.


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[GitHub] [spark] SparkQA commented on issue #24482: [SPARK-27581][SQL] DataFrame countDistinct("*") shouldn't fail with AnalysisException

2019-04-28 Thread GitBox
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[GitHub] [spark] mengxr opened a new pull request #24484: [SPARK-27472] add user guide for binary file data source

2019-04-28 Thread GitBox
mengxr opened a new pull request #24484: [SPARK-27472] add user guide for 
binary file data source
URL: https://github.com/apache/spark/pull/24484
 
 
   ## What changes were proposed in this pull request?
   
   Add user guide for binary file data source.
   
   https://user-images.githubusercontent.com/829644/56877594-0488d300-6a04-11e9-9064-5047dfedd913.png;>
   
   ## How was this patch tested?
   
   (Please explain how this patch was tested. E.g. unit tests, integration 
tests, manual tests)
   (If this patch involves UI changes, please attach a screenshot; otherwise, 
remove this)
   
   Please review http://spark.apache.org/contributing.html before opening a 
pull request.
   


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[GitHub] [spark] SparkQA commented on issue #23546: [SPARK-23153][K8s] Support client dependencies with a Hadoop Compatible File System

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[GitHub] [spark] William1104 commented on issue #24221: [SPARK-27248][SQL] refresh table should recreate cache with same cache name

2019-04-28 Thread GitBox
William1104 commented on issue #24221: [SPARK-27248][SQL] refresh table should 
recreate cache with same cache name
URL: https://github.com/apache/spark/pull/24221#issuecomment-487450791
 
 
   Hi @cloud-fan , @gatorsmile and @srowen , Appreciate if you can take a look 
the PR again. I enhanced the test case to cover storage level. If we should 
remove the note in migration guide, I could update it accordingly as well. Many 
thanks. 


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[GitHub] [spark] SparkQA commented on issue #24483: [SPARK-27588] Binary file data source fails fast and doesn't attempt to read very large files

2019-04-28 Thread GitBox
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[GitHub] [spark] mengxr opened a new pull request #24483: [SPARK-27588] Binary file data source fails fast and doesn't attempt to read very large files

2019-04-28 Thread GitBox
mengxr opened a new pull request #24483: [SPARK-27588] Binary file data source 
fails fast and doesn't attempt to read very large files
URL: https://github.com/apache/spark/pull/24483
 
 
   ## What changes were proposed in this pull request?
   
   If a file is too big (>2GB), we should fail fast and do not try to read the 
file.
   
   ## How was this patch tested?
   
   (Please explain how this patch was tested. E.g. unit tests, integration 
tests, manual tests)
   (If this patch involves UI changes, please attach a screenshot; otherwise, 
remove this)
   
   Please review http://spark.apache.org/contributing.html before opening a 
pull request.
   


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[GitHub] [spark] SparkQA commented on issue #23546: [SPARK-23153][K8s] Support client dependencies with a Hadoop Compatible File System

2019-04-28 Thread GitBox
SparkQA commented on issue #23546: [SPARK-23153][K8s] Support client 
dependencies with a Hadoop Compatible File System
URL: https://github.com/apache/spark/pull/23546#issuecomment-487445325
 
 
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[GitHub] [spark] linehrr commented on issue #24461: [SPARK-27434][CORE] Fix mem leak

2019-04-28 Thread GitBox
linehrr commented on issue #24461: [SPARK-27434][CORE] Fix mem leak 
URL: https://github.com/apache/spark/pull/24461#issuecomment-48740
 
 
   @srowen 
   if there is indeed somewhere else that's holding that filesystem object, 
them this won't solve the problem you are right. but if not, removing from the 
cache will de-reference it from the cache, therefore could make that object 
orphan and then can be cleaned by GC. 
   I can't really guarantee that there aren't other places that could reference 
that object, but the fact that when spark context is closing makes me think 
there should really not be. 


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[GitHub] [spark] SparkQA commented on issue #23546: [SPARK-23153][K8s] Support client dependencies with a Hadoop Compatible File System

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SparkQA commented on issue #23546: [SPARK-23153][K8s] Support client 
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URL: https://github.com/apache/spark/pull/23546#issuecomment-487443942
 
 
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[GitHub] [spark] wangyum commented on issue #24044: [WIP][test-hadoop2.7][test-maven] Test Hadoop 3.2 on jenkins

2019-04-28 Thread GitBox
wangyum commented on issue #24044: [WIP][test-hadoop2.7][test-maven] Test 
Hadoop 3.2 on jenkins
URL: https://github.com/apache/spark/pull/24044#issuecomment-487442600
 
 
   retest this please


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[GitHub] [spark] SparkQA commented on issue #23546: [SPARK-23153][K8s] Support client dependencies with a Hadoop Compatible File System

2019-04-28 Thread GitBox
SparkQA commented on issue #23546: [SPARK-23153][K8s] Support client 
dependencies with a Hadoop Compatible File System
URL: https://github.com/apache/spark/pull/23546#issuecomment-487442420
 
 
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[GitHub] [spark] SparkQA commented on issue #24044: [WIP][test-hadoop2.7][test-maven] Test Hadoop 3.2 on jenkins

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[GitHub] [spark] skonto commented on a change in pull request #23546: [SPARK-23153][K8s] Support client dependencies with a Hadoop Compatible File System

2019-04-28 Thread GitBox
skonto commented on a change in pull request #23546: [SPARK-23153][K8s] Support 
client dependencies with a Hadoop Compatible File System
URL: https://github.com/apache/spark/pull/23546#discussion_r279230019
 
 

 ##
 File path: 
resource-managers/kubernetes/integration-tests/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/DepsTestsSuite.scala
 ##
 @@ -0,0 +1,239 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.deploy.k8s.integrationtest
+
+import java.net.URL
+
+import scala.collection.JavaConverters._
+
+import com.amazonaws.auth.BasicAWSCredentials
+import com.amazonaws.services.s3.AmazonS3Client
+import io.fabric8.kubernetes.api.model._
+import io.fabric8.kubernetes.api.model.apps.StatefulSetBuilder
+import org.scalatest.concurrent.{Eventually, PatienceConfiguration}
+import org.scalatest.time.{Minutes, Span}
+
+import org.apache.spark.SparkException
+import 
org.apache.spark.deploy.k8s.integrationtest.DepsTestsSuite.{DEPS_TIMEOUT, 
FILE_CONTENTS, HOST_PATH}
+import org.apache.spark.deploy.k8s.integrationtest.KubernetesSuite.{INTERVAL, 
MinikubeTag, TIMEOUT}
+import org.apache.spark.deploy.k8s.integrationtest.backend.minikube.Minikube
+
+private[spark] trait DepsTestsSuite { k8sSuite: KubernetesSuite =>
+  import KubernetesSuite.k8sTestTag
+
+  val cName = "ceph-nano"
+  val svcName = s"$cName-s3"
+  val bucket = "spark"
+
+  private def getCephContainer(): Container = {
+val envVars = Map ( "NETWORK_AUTO_DETECT" -> "4",
+  "RGW_CIVETWEB_PORT" -> "8000",
+  "SREE_PORT" -> "5001",
+  "CEPH_DEMO_UID" -> "nano",
+  "CEPH_DAEMON" -> "demo",
+  "DEBUG" -> "verbose"
+).map( envV =>
+  new EnvVarBuilder()
+.withName(envV._1)
+.withValue(envV._2)
+.build()
+).toArray
+
+val resources = Map(
+  "cpu" -> new QuantityBuilder()
+.withAmount("1")
+.build(),
+  "memory" -> new QuantityBuilder()
+.withAmount("512M")
+.build()
+).asJava
+
+new ContainerBuilder()
+  .withImage("ceph/daemon:v4.0.0-stable-4.0-master-centos-7-x86_64")
 
 Review comment:
   ceph/daemon:latest is broken (3 days ago), using stable, will open a bug.


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[GitHub] [spark] skonto commented on issue #23546: [SPARK-23153][K8s] Support client dependencies with a Hadoop Compatible File System

2019-04-28 Thread GitBox
skonto commented on issue #23546: [SPARK-23153][K8s] Support client 
dependencies with a Hadoop Compatible File System
URL: https://github.com/apache/spark/pull/23546#issuecomment-487442281
 
 
   jenkins test this please


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[GitHub] [spark] SparkQA commented on issue #24375: [SPARK-27474][CORE] avoid retrying a task failed with CommitDeniedException many times

2019-04-28 Thread GitBox
SparkQA commented on issue #24375: [SPARK-27474][CORE] avoid retrying a task 
failed with CommitDeniedException many times
URL: https://github.com/apache/spark/pull/24375#issuecomment-487441758
 
 
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[GitHub] [spark] cloud-fan commented on issue #24375: [SPARK-27474][CORE] avoid retrying a task failed with CommitDeniedException many times

2019-04-28 Thread GitBox
cloud-fan commented on issue #24375: [SPARK-27474][CORE] avoid retrying a task 
failed with CommitDeniedException many times
URL: https://github.com/apache/spark/pull/24375#issuecomment-487441589
 
 
   retest this please


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[GitHub] [spark] cloud-fan commented on a change in pull request #24482: [SPARK-27581][SQL] DataFrame countDistinct("*") shouldn't fail with AnalysisException

2019-04-28 Thread GitBox
cloud-fan commented on a change in pull request #24482: [SPARK-27581][SQL] 
DataFrame countDistinct("*") shouldn't fail with AnalysisException
URL: https://github.com/apache/spark/pull/24482#discussion_r279228389
 
 

 ##
 File path: sql/core/src/main/scala/org/apache/spark/sql/functions.scala
 ##
 @@ -358,9 +358,10 @@ object functions {
* @since 1.3.0
*/
   @scala.annotation.varargs
-  def countDistinct(expr: Column, exprs: Column*): Column = {
-withAggregateFunction(Count.apply((expr +: exprs).map(_.expr)), isDistinct 
= true)
-  }
+  def countDistinct(expr: Column, exprs: Column*): Column =
+// For usage like countDistinct("*"), we should let analyzer expand star 
and
 
 Review comment:
   how do we handle it in `count`?


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[GitHub] [spark] cloud-fan commented on a change in pull request #24442: [SPARK-27547][SQL] fix DataFrame self-join problems

2019-04-28 Thread GitBox
cloud-fan commented on a change in pull request #24442: [SPARK-27547][SQL] fix 
DataFrame self-join problems
URL: https://github.com/apache/spark/pull/24442#discussion_r279227348
 
 

 ##
 File path: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
 ##
 @@ -1292,10 +1323,24 @@ class Dataset[T] private[sql](
 colRegex(colName)
   } else {
 val expr = resolve(colName)
-Column(expr)
+Column(addDataFrameIdToCol(expr))
 
 Review comment:
   Internally, I think we should never compare 2 attributes by `equal` not 
`semanticEqual`.
   
   Externally, if users rely on the equality of `Column`, yes this PR may break 
it under some cases. If this matters, I can add a migration guide or update 
`Column.equal`.


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[GitHub] [spark] viirya commented on issue #24482: [SPARK-27581][SQL] DataFrame countDistinct("*") shouldn't fail with AnalysisException

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[GitHub] [spark] Ngone51 commented on issue #24467: [SPARK-27568][CORE] Fix readLock leak while calling take()/first() on a cached rdd

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   @srowen Yeah, agree with that. I'm thinking of it.


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[GitHub] [spark] SparkQA commented on issue #23546: [SPARK-23153][K8s] Support client dependencies with a Hadoop Compatible File System

2019-04-28 Thread GitBox
SparkQA commented on issue #23546: [SPARK-23153][K8s] Support client 
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URL: https://github.com/apache/spark/pull/23546#issuecomment-487427206
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #24482: [SPARK-27581][SQL] DataFrame countDistinct("*") shouldn't fail with AnalysisException

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[GitHub] [spark] SparkQA commented on issue #24482: [SPARK-27581][SQL] DataFrame countDistinct("*") shouldn't fail with AnalysisException

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[GitHub] [spark] SparkQA removed a comment on issue #23546: [SPARK-23153][K8s] Support client dependencies with a Hadoop Compatible File System

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[GitHub] [spark] SparkQA commented on issue #23546: [SPARK-23153][K8s] Support client dependencies with a Hadoop Compatible File System

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[GitHub] [spark] SparkQA commented on issue #24481: [WIP][SPARK-27467][BUILD] Upgrade Maven to 3.6.1

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[GitHub] [spark] srowen commented on issue #24461: [SPARK-27434][CORE] Fix mem leak

2019-04-28 Thread GitBox
srowen commented on issue #24461: [SPARK-27434][CORE] Fix mem leak 
URL: https://github.com/apache/spark/pull/24461#issuecomment-487422243
 
 
   Hm your heap dump is convincing, although this `FileSystem` is just obtained 
from Hadoop and its cache. Generally that's not safe to close, but maybe here. 
I'm trying to figure out if closing it solves the problem though. You'd still 
have something holding a reference to this object, no? And that I don't quite 
see here, why that is.


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[GitHub] [spark] skonto removed a comment on issue #23546: [SPARK-23153][K8s] Support client dependencies with a Hadoop Compatible File System

2019-04-28 Thread GitBox
skonto removed a comment on issue #23546: [SPARK-23153][K8s] Support client 
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URL: https://github.com/apache/spark/pull/23546#issuecomment-487419487
 
 
   @shaneknapp there is a weird error:
   ```
   9/04/28 14:34:17.480 OkHttp https://192.168.39.110:8443/... ERROR 
ExecWebSocketListener: Exec Failure: HTTP:400. Message:pod 
spark-test-app-ade7c8acff964400b212005a8ee56832 does not have a host assigned
   java.net.ProtocolException: Expected HTTP 101 response but was '400 Bad 
Request'
at 
okhttp3.internal.ws.RealWebSocket.checkResponse(RealWebSocket.java:229)
   ```
   
   I suspect the pod was never scheduled? What resources are assigned to 
minikube? 
   This was previously working above.
   


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