[GitHub] spark pull request #19079: [SPARK-21859][CORE] Fix SparkFiles.get failed on ...
Github user lgrcyanny closed the pull request at: https://github.com/apache/spark/pull/19079 --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request #19079: [SPARK-21859][CORE] Fix SparkFiles.get failed on ...
Github user lgrcyanny commented on a diff in the pull request:
https://github.com/apache/spark/pull/19079#discussion_r136056972
--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -481,7 +481,7 @@ object SparkSubmit extends CommandLineUtils {
sysProp = "spark.executor.memory"),
OptionAssigner(args.totalExecutorCores, STANDALONE | MESOS,
ALL_DEPLOY_MODES,
sysProp = "spark.cores.max"),
- OptionAssigner(args.files, LOCAL | STANDALONE | MESOS,
ALL_DEPLOY_MODES,
+ OptionAssigner(args.files, ALL_CLUSTER_MGRS, ALL_DEPLOY_MODES,
--- End diff --
May I ask, why the OptionAssigner for "spark.files" works for local,
standalone and mesos, only except yarn? is there any doc explain the design
purpose? or may be this is really a issue.
```
OptionAssigner(args.files, LOCAL | STANDALONE | MESOS, ALL_DEPLOY_MODES,
"spark.files")
```
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[GitHub] spark pull request #19079: [SPARK-21859][CORE] Fix SparkFiles.get failed on ...
Github user lgrcyanny commented on a diff in the pull request:
https://github.com/apache/spark/pull/19079#discussion_r136055854
--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -481,7 +481,7 @@ object SparkSubmit extends CommandLineUtils {
sysProp = "spark.executor.memory"),
OptionAssigner(args.totalExecutorCores, STANDALONE | MESOS,
ALL_DEPLOY_MODES,
sysProp = "spark.cores.max"),
- OptionAssigner(args.files, LOCAL | STANDALONE | MESOS,
ALL_DEPLOY_MODES,
+ OptionAssigner(args.files, ALL_CLUSTER_MGRS, ALL_DEPLOY_MODES,
--- End diff --
hi @jerryshao About the remote files to handle yarn-client files problem,
is there jira that explains the design? We can wait for a version which
resolved the problem.
I think my fix just solve the problem simply, do you have any other idea to
solve it more elegantly?
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[GitHub] spark pull request #19079: [SPARK-21859][CORE] Fix SparkFiles.get failed on ...
Github user jerryshao commented on a diff in the pull request:
https://github.com/apache/spark/pull/19079#discussion_r135973949
--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -481,7 +481,7 @@ object SparkSubmit extends CommandLineUtils {
sysProp = "spark.executor.memory"),
OptionAssigner(args.totalExecutorCores, STANDALONE | MESOS,
ALL_DEPLOY_MODES,
sysProp = "spark.cores.max"),
- OptionAssigner(args.files, LOCAL | STANDALONE | MESOS,
ALL_DEPLOY_MODES,
+ OptionAssigner(args.files, ALL_CLUSTER_MGRS, ALL_DEPLOY_MODES,
--- End diff --
Also as @vanzin mentioned, also the description of "Yarn cluster mode
`SparkFiles.get` is working" is not a design purpose. So to fix this issue I
think you should have a more solid patch.
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[GitHub] spark pull request #19079: [SPARK-21859][CORE] Fix SparkFiles.get failed on ...
Github user jerryshao commented on a diff in the pull request:
https://github.com/apache/spark/pull/19079#discussion_r135973543
--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -481,7 +481,7 @@ object SparkSubmit extends CommandLineUtils {
sysProp = "spark.executor.memory"),
OptionAssigner(args.totalExecutorCores, STANDALONE | MESOS,
ALL_DEPLOY_MODES,
sysProp = "spark.cores.max"),
- OptionAssigner(args.files, LOCAL | STANDALONE | MESOS,
ALL_DEPLOY_MODES,
+ OptionAssigner(args.files, ALL_CLUSTER_MGRS, ALL_DEPLOY_MODES,
--- End diff --
I don't say `SparkFiles.get` is not useful, I'm saying your fix is not
correct, the changes here will break the original semantics. Also we recently
support remote files, to handle this scenario we should think how to address
this problem for all the cluster managers, not only in yarn client mode.
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[GitHub] spark pull request #19079: [SPARK-21859][CORE] Fix SparkFiles.get failed on ...
Github user lgrcyanny commented on a diff in the pull request:
https://github.com/apache/spark/pull/19079#discussion_r135968835
--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -481,7 +481,7 @@ object SparkSubmit extends CommandLineUtils {
sysProp = "spark.executor.memory"),
OptionAssigner(args.totalExecutorCores, STANDALONE | MESOS,
ALL_DEPLOY_MODES,
sysProp = "spark.cores.max"),
- OptionAssigner(args.files, LOCAL | STANDALONE | MESOS,
ALL_DEPLOY_MODES,
+ OptionAssigner(args.files, ALL_CLUSTER_MGRS, ALL_DEPLOY_MODES,
--- End diff --
I met some users complained about the wired action about SparkFiles.get in
yarn-client and yarn-cluster mode. SparkFiles.get is very easy for user to get
file path. why not keep the same action in yarn-cluster and yarn-client mode?
Meanwhile, it not very easy for user to use spark.yarn.dist.files, it must
be uploaded to HDFS in advance. To make spark on yarn more usable, use
SparkFiles.get is better.
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[GitHub] spark pull request #19079: [SPARK-21859][CORE] Fix SparkFiles.get failed on ...
Github user jerryshao commented on a diff in the pull request:
https://github.com/apache/spark/pull/19079#discussion_r135958924
--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -481,7 +481,7 @@ object SparkSubmit extends CommandLineUtils {
sysProp = "spark.executor.memory"),
OptionAssigner(args.totalExecutorCores, STANDALONE | MESOS,
ALL_DEPLOY_MODES,
sysProp = "spark.cores.max"),
- OptionAssigner(args.files, LOCAL | STANDALONE | MESOS,
ALL_DEPLOY_MODES,
+ OptionAssigner(args.files, ALL_CLUSTER_MGRS, ALL_DEPLOY_MODES,
--- End diff --
The changes here is not correct. For yarn application, we use
`spark.yarn.dist.files` to handle files, and this will be added to distributed
cache. Without your change it breaks the current code.
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[GitHub] spark pull request #19079: [SPARK-21859][CORE] Fix SparkFiles.get failed on ...
Github user lgrcyanny commented on a diff in the pull request:
https://github.com/apache/spark/pull/19079#discussion_r135943288
--- Diff: core/src/main/scala/org/apache/spark/SparkEnv.scala ---
@@ -393,7 +393,7 @@ object SparkEnv extends Logging {
// Add a reference to tmp dir created by driver, we will delete this
tmp dir when stop() is
// called, and we only need to do it for driver. Because driver may
run as a service, and if we
// don't delete this tmp dir when sc is stopped, then will create too
many tmp dirs.
-if (isDriver) {
+if (isDriver &&
conf.getOption("spark.submit.deployMode").getOrElse("client") == "client") {
--- End diff --
Originally, my version is
```
conf.get("spark.submit.deployMode", "client") == "client"
```
Then I refered to the SparkContext#deployMode function,
it use
```
conf.getOption("spark.submit.deployMode").getOrElse("client")
```
I just want to keep the same style as SparkContext.
which one is more better?
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[GitHub] spark pull request #19079: [SPARK-21859][CORE] Fix SparkFiles.get failed on ...
Github user lgrcyanny commented on a diff in the pull request:
https://github.com/apache/spark/pull/19079#discussion_r135942521
--- Diff: core/src/main/scala/org/apache/spark/SparkEnv.scala ---
@@ -393,7 +393,7 @@ object SparkEnv extends Logging {
// Add a reference to tmp dir created by driver, we will delete this
tmp dir when stop() is
// called, and we only need to do it for driver. Because driver may
run as a service, and if we
// don't delete this tmp dir when sc is stopped, then will create too
many tmp dirs.
-if (isDriver) {
+if (isDriver &&
conf.getOption("spark.submit.deployMode").getOrElse("client") == "client") {
--- End diff --
Ok, thanks, I will change it.
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[GitHub] spark pull request #19079: [SPARK-21859][CORE] Fix SparkFiles.get failed on ...
Github user brad-kaiser commented on a diff in the pull request:
https://github.com/apache/spark/pull/19079#discussion_r135846355
--- Diff: core/src/main/scala/org/apache/spark/SparkEnv.scala ---
@@ -393,7 +393,7 @@ object SparkEnv extends Logging {
// Add a reference to tmp dir created by driver, we will delete this
tmp dir when stop() is
// called, and we only need to do it for driver. Because driver may
run as a service, and if we
// don't delete this tmp dir when sc is stopped, then will create too
many tmp dirs.
-if (isDriver) {
+if (isDriver &&
conf.getOption("spark.submit.deployMode").getOrElse("client") == "client") {
--- End diff --
Tiny nitpick, this might be simpler.
```
if (isDriver && conf.get("spark.submit.deployMode", "client") ==
"client") {
```
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[GitHub] spark pull request #19079: [SPARK-21859][CORE] Fix SparkFiles.get failed on ...
GitHub user lgrcyanny opened a pull request:
https://github.com/apache/spark/pull/19079
[SPARK-21859][CORE] Fix SparkFiles.get failed on driver in yarn-cluster and
yarn-client mode
## What changes were proposed in this pull request?
when use SparkFiles.get a file on driver in yarn-client or yarn-cluster, it
will report file not found exception.
This exception only happens on driver, SparkFiles.get on executor works
fine.
we can reproduce the bug as follows:
```scala
val conf = new SparkConf().setAppName("SparkFilesTest")
val sc = new SparkContext(conf)
def testOnDriver(fileName: String) = {
val file = new File(SparkFiles.get(fileName))
if (!file.exists()) {
println(s"$file not exist")
} else {
// print file content on driver
val content = Source.fromFile(file).getLines().mkString("\n")
println(s"File content: ${content}")
}
}
// the output will be file not exist
```
```python
conf = SparkConf().setAppName("test files")
sc = SparkContext(appName="spark files test")
def test_on_driver(filename):
file = SparkFiles.get(filename)
print("file path: {}".format(file))
if os.path.exists(file):
with open(file) as f:
lines = f.readlines()
print(lines)
else:
print("file doesn't exist")
run_command("ls .")
```
the output will be file not exist
## How was this patch tested?
tested in integration tests and manual tests
submit the demo case in yarn-cluster and yarn-client mode, and verify the
test result
the testing commands are:
```
./bin/spark-submit --master yarn-cluster --files README.md --class
"testing.SparkFilesTest" testing.jar
./bin/spark-submit --master yarn-client --files README.md --class
"testing.SparkFilesTest" testing.jar
./bin/spark-submit --master yarn-cluster --files README.md test_get_files.py
./bin/spark-submit --master yarn-client --files README.md test_get_files.py
```
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/lgrcyanny/spark fix-yarn-files-problem
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/19079.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #19079
commit 3f0e4a88bdb7156b5db7cfb56cd079d4b0de3a5b
Author: lgrcyanny
Date: 2017-05-07T12:51:55Z
[SPARK-21859][CORE] Fix SparkFiles.get failed on driver in yarn-cluster and
yarn-client mode
when use SparkFiles.get a file on driver in yarn-client or yarn-cluster, it
will report file not found exception.
This exception only happens on driver, SparkFiles.get on executor works
fine.
we can reproduce the bug as follows:
```scala
val conf = new SparkConf().setAppName("SparkFilesTest")
val sc = new SparkContext(conf)
def testOnDriver(fileName: String) = {
val file = new File(SparkFiles.get(fileName))
if (!file.exists()) {
println(s"$file not exist")
} else {
// print file content on driver
val content = Source.fromFile(file).getLines().mkString("\n")
println(s"File content: ${content}")
}
}
// the output will be file not exist
```
```python
conf = SparkConf().setAppName("test files")
sc = SparkContext(appName="spark files test")
def test_on_driver(filename):
file = SparkFiles.get(filename)
print("file path: {}".format(file))
if os.path.exists(file):
with open(file) as f:
lines = f.readlines()
print(lines)
else:
print("file doesn't exist")
run_command("ls .")
```
the output will be file not exist
tested in integration tests and manual tests
submit the demo case in yarn-cluster and yarn-client mode, and verify the
test result
```
./bin/spark-submit --master yarn-cluster --files README.md --class
"testing.SparkFilesTest" testing.jar
./bin/spark-submit --master yarn-client --files README.md --class
"testing.SparkFilesTest" testing.jar
./bin/spark-submit --master yarn-cluster --files README.md test_get_files.py
./bin/spark-submit --master yarn-client --files README.md test_get_files.py
```
Change-Id: I22034f99f571a451b862c1806b7f9350c6133c95
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