Commit graph

78 commits

Author SHA1 Message Date
Dongjoon Hyun bbc2be4f42 [SPARK-28294][CORE] Support spark.history.fs.cleaner.maxNum configuration
## What changes were proposed in this pull request?

Up to now, Apache Spark maintains the given event log directory by **time** policy, `spark.history.fs.cleaner.maxAge`. However, there are two issues.
1. Some file system has a limitation on the maximum number of files in a single directory. For example, HDFS `dfs.namenode.fs-limits.max-directory-items` is 1024 * 1024 by default.
https://hadoop.apache.org/docs/r3.2.0/hadoop-project-dist/hadoop-hdfs/hdfs-default.xml
2. Spark is sometimes unable to to clean up some old log files due to permission issues (mainly, security policy).

To handle both (1) and (2), this PR aims to support an additional policy configuration for the maximum number of files in the event log directory, `spark.history.fs.cleaner.maxNum`. Spark will try to keep the number of files in the event log directory according to this policy.

## How was this patch tested?

Pass the Jenkins with a newly added test case.

Closes #25072 from dongjoon-hyun/SPARK-28294.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-07-10 07:19:47 -07:00
Luca Canali adf72e26d9 [SPARK-27773][FOLLOWUP][DOC] Add numCaughtExceptions metric to monitoring doc
## What changes were proposed in this pull request?

SPARK-27773 has introduced a new metric (counter) numCaughtExceptions to the Spark Dropwizard monitoring system. This PR adds an entry in the monitoring documentation to document this.

Closes #24790 from LucaCanali/addDocFollowingSPARK27773.

Authored-by: Luca Canali <luca.canali@cern.ch>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-06-04 08:40:32 -07:00
Sean Owen 754f820035 [SPARK-26918][DOCS] All .md should have ASF license header
## What changes were proposed in this pull request?

Add AL2 license to metadata of all .md files.
This seemed to be the tidiest way as it will get ignored by .md renderers and other tools. Attempts to write them as markdown comments revealed that there is no such standard thing.

## How was this patch tested?

Doc build

Closes #24243 from srowen/SPARK-26918.

Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
2019-03-30 19:49:45 -05:00
Luca Canali 4b2b3da766 [SPARK-26928][CORE][FOLLOWUP] Fix JVMCPUSource file name and minor updates to doc
## What changes were proposed in this pull request?

This applies some minor updates/cleaning following up SPARK-26928, notably renaming JVMCPU.scala to JVMCPUSource.scala.

## How was this patch tested?

Manually tested

Closes #24201 from LucaCanali/fixupSPARK-26928.

Authored-by: Luca Canali <luca.canali@cern.ch>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
2019-03-25 15:35:24 -05:00
hehuiyuan d6a3cbea5d [MINOR][DOC] Add "completedStages" metircs for namespace=appStatus
## What changes were proposed in this pull request?

Add completedStages metircs for  namespace=appStatus for monitoring.md.

Closes #24109 from hehuiyuan/hehuiyuan-patch-5.

Authored-by: hehuiyuan <hehuiyuan@ZBMAC-C02WD3K5H.local>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
2019-03-17 06:42:00 -05:00
Lantao Jin 6a6075ac96 [SPARK-27157][DOCS] Add Executor level metrics to monitoring docs
## What changes were proposed in this pull request?

A sub-task of [SPARK-23206](https://issues.apache.org/jira/browse/SPARK-23206)
Add Executor level metrics to monitoring docs

## How was this patch tested?

jekyll

Closes #24090 from LantaoJin/SPARK-27157.

Authored-by: Lantao Jin <jinlantao@gmail.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
2019-03-16 14:52:19 -05:00
Luca Canali 25d2850665 [SPARK-26928][CORE] Add driver CPU Time to the metrics system
## What changes were proposed in this pull request?

This proposes to add instrumentation for the driver's JVM CPU time via the Spark Dropwizard/Codahale metrics system. It follows directly from previous work SPARK-25228 and shares similar motivations: it is intended as an improvement to be used for Spark performance dashboards and monitoring tools/instrumentation.

Implementation details: this PR takes the code introduced in SPARK-25228 and moves it to a new separate Source JVMCPUSource, which is then used to register the jvmCpuTime gauge metric for both executor and driver.
The registration of the jvmCpuTime metric for the driver is conditional, a new configuration parameter `spark.metrics.cpu.time.driver.enabled` (proposed default: false) is introduced for this purpose.

## How was this patch tested?

Manually tested, using local mode and using YARN.

Closes #23838 from LucaCanali/addCPUTimeMetricDriver.

Authored-by: Luca Canali <luca.canali@cern.ch>
Signed-off-by: Marcelo Vanzin <vanzin@cloudera.com>
2019-03-05 10:47:39 -08:00
Luca Canali 5fd28e8f5c [SPARK-26890][DOC] Add list of available Dropwizard metrics in Spark and add additional configuration details to the monitoring documentation
## What changes were proposed in this pull request?

This PR proposes to extend the documentation of the Spark metrics system in the monitoring guide. In particular by:
- adding a list of the available metrics grouped per component instance
- adding information on configuration parameters that can be used to configure the metrics system in alternative to the metrics.properties file
- adding information on the configuration parameters needed to enable certain metrics
- it also propose to add an example of Graphite sink configuration in metrics.properties.template

Closes #23798 from LucaCanali/metricsDocUpdate.

Authored-by: Luca Canali <luca.canali@cern.ch>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
2019-02-27 10:07:15 -06:00
SongYadong 0fe9c144fd [DOC][MINOR] Add metrics instance 'mesos_cluster' to monitoring doc
## What changes were proposed in this pull request?

Metrics instance "mesos_cluster" exists in spark, but not mentioned in monitoring.md. This PR add it.

## How was this patch tested?

Manually test.

Closes #23691 from SongYadong/doc_mesos_metrics_inst.

Authored-by: SongYadong <song.yadong1@zte.com.cn>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
2019-01-31 18:30:17 -06:00
Jungtaek Lim (HeartSaVioR) ae5b2a6a92 [SPARK-26311][CORE] New feature: apply custom log URL pattern for executor log URLs in SHS
## What changes were proposed in this pull request?

This patch proposes adding a new configuration on SHS: custom executor log URL pattern. This will enable end users to replace executor logs to other than RM provide, like external log service, which enables to serve executor logs when NodeManager becomes unavailable in case of YARN.

End users can build their own of custom executor log URLs with pre-defined patterns which would be vary on each resource manager. This patch adds some patterns to YARN resource manager. (For others, there's even no executor log url available so cannot define patterns as well.)

Please refer the doc change as well as added UTs in this patch to see how to set up the feature.

## How was this patch tested?

Added UT, as well as manual test with YARN cluster

Closes #23260 from HeartSaVioR/SPARK-26311.

Authored-by: Jungtaek Lim (HeartSaVioR) <kabhwan@gmail.com>
Signed-off-by: Marcelo Vanzin <vanzin@cloudera.com>
2019-01-30 11:52:30 -08:00
ankurgupta 5f11e8c4cb [SPARK-25118][CORE] Persist Driver Logs in Client mode to Hdfs
Currently, we do not have a mechanism to collect driver logs if a user chooses
to run their application in client mode. This is a big issue as admin teams need
to create their own mechanisms to capture driver logs.

This commit adds a logger which, if enabled, adds a local log appender to the
root logger and asynchronously syncs it an application specific log file on hdfs
(Spark Driver Log Dir).

Additionally, this collects spark-shell driver logs at INFO level by default.
The change is that instead of setting root logger level to WARN, we will set the
consoleAppender threshold to WARN, in case of spark-shell. This ensures that
only WARN logs are printed on CONSOLE but other log appenders still capture INFO
(or the default log level logs).

1. Verified that logs are written to local and remote dir
2. Added a unit test case
3. Verified this for spark-shell, client mode and pyspark.
4. Verified in both non-kerberos and kerberos environment
5. Verified with following unexpected termination conditions: Ctrl + C, Driver
OOM, Large Log Files
6. Ran an application in spark-shell and ensured that driver logs were
captured at INFO level
7. Started the application at WARN level, programmatically changed the level to
INFO and ensured that logs on console were printed at INFO level

Closes #22504 from ankuriitg/ankurgupta/SPARK-25118.

Authored-by: ankurgupta <ankur.gupta@cloudera.com>
Signed-off-by: Marcelo Vanzin <vanzin@cloudera.com>
2018-11-14 08:23:34 -08:00
Shahid 71876633f3
[SPARK-25583][DOC] Add history-server related configuration in the documentation.
## What changes were proposed in this pull request?
Add history-server related configuration in the documentation.
Some of the history server related configurations were missing in the documentation.Like, 'spark.history.store.maxDiskUsage', 'spark.ui.liveUpdate.period' etc.

## How was this patch tested?
![screenshot from 2018-10-01 20-58-26](https://user-images.githubusercontent.com/23054875/46298568-04833a80-c5bd-11e8-95b8-54c9d6582fd2.png)
![screenshot from 2018-10-01 20-59-31](https://user-images.githubusercontent.com/23054875/46298591-11a02980-c5bd-11e8-93d0-892afdfd4f9a.png)
![screenshot from 2018-10-01 20-59-45](https://user-images.githubusercontent.com/23054875/46298601-1533b080-c5bd-11e8-9689-e9b39882a7b5.png)

Closes #22601 from shahidki31/historyConf.

Authored-by: Shahid <shahidki31@gmail.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
2018-10-02 08:05:09 -07:00
LucaCanali 45c4ebc817 [SPARK-25170][DOC] Add list and short description of Spark Executor Task Metrics to the documentation.
## What changes were proposed in this pull request?

Add description of Executor Task Metrics to the documentation.

Closes #22397 from LucaCanali/docMonitoringTaskMetrics.

Authored-by: LucaCanali <luca.canali@cern.ch>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
2018-09-13 10:19:21 -05:00
“attilapiros” d2436a8529 [SPARK-24594][YARN] Introducing metrics for YARN
## What changes were proposed in this pull request?

In this PR metrics are introduced for YARN.  As up to now there was no metrics in the YARN module a new metric system is created with the name "applicationMaster".
To support both client and cluster mode the metric system lifecycle is bound to the AM.

## How was this patch tested?

Both client and cluster mode was tested manually.
Before the test on one of the YARN node spark-core was removed to cause the allocation failure.
Spark was started as (in case of client mode):

```
spark2-submit \
  --class org.apache.spark.examples.SparkPi \
  --conf "spark.yarn.blacklist.executor.launch.blacklisting.enabled=true" --conf "spark.blacklist.application.maxFailedExecutorsPerNode=2" --conf "spark.dynamicAllocation.enabled=true" --conf "spark.metrics.conf.*.sink.console.class=org.apache.spark.metrics.sink.ConsoleSink" \
  --master yarn \
  --deploy-mode client \
  original-spark-examples_2.11-2.4.0-SNAPSHOT.jar \
  1000
```

In both cases the YARN logs contained the new metrics as:

```
$ yarn logs --applicationId application_1529926424933_0015
...
-- Gauges ----------------------------------------------------------------------
application_1531751594108_0046.applicationMaster.numContainersPendingAllocate
             value = 0
application_1531751594108_0046.applicationMaster.numExecutorsFailed
             value = 3
application_1531751594108_0046.applicationMaster.numExecutorsRunning
             value = 9
application_1531751594108_0046.applicationMaster.numLocalityAwareTasks
             value = 0
application_1531751594108_0046.applicationMaster.numReleasedContainers
             value = 0
...

```

Author: “attilapiros” <piros.attila.zsolt@gmail.com>
Author: Attila Zsolt Piros <2017933+attilapiros@users.noreply.github.com>

Closes #21635 from attilapiros/SPARK-24594.
2018-07-24 09:33:10 +08:00
Daniel Sakuma 6ade5cbb49 [MINOR][DOC] Fix some typos and grammar issues
## What changes were proposed in this pull request?

Easy fix in the documentation.

## How was this patch tested?

N/A

Closes #20948

Author: Daniel Sakuma <dsakuma@gmail.com>

Closes #20928 from dsakuma/fix_typo_configuration_docs.
2018-04-06 13:37:08 +08:00
Marcelo Vanzin b30a7d28b3 [SPARK-23572][DOCS] Bring "security.md" up to date.
This change basically rewrites the security documentation so that it's
up to date with new features, more correct, and more complete.

Because security is such an important feature, I chose to move all the
relevant configuration documentation to the security page, instead of
having them peppered all over the place in the configuration page. This
allows an almost one-stop shop for security configuration in Spark. The
only exceptions are some YARN-specific minor features which I left in
the YARN page.

I also re-organized the page's topics, since they didn't make a lot of
sense. You had kerberos features described inside paragraphs talking
about UI access control, and other oddities. It should be easier now
to find information about specific Spark security features. I also
enabled TOCs for both the Security and YARN pages, since that makes it
easier to see what is covered.

I removed most of the comments from the SecurityManager javadoc since
they just replicated information in the security doc, with different
levels of out-of-dateness.

Author: Marcelo Vanzin <vanzin@cloudera.com>

Closes #20742 from vanzin/SPARK-23572.
2018-03-26 12:45:45 -07:00
“attilapiros” a5a4b83501 [SPARK-23235][CORE] Add executor Threaddump to api
## What changes were proposed in this pull request?

Extending api with the executor thread dump data.

For this new REST URL is introduced:
- GET http://localhost:4040/api/v1/applications/{applicationId}/executors/{executorId}/threads

<details>
<summary>Example response:</summary>

``` javascript
[ {
  "threadId" : 52,
  "threadName" : "context-cleaner-periodic-gc",
  "threadState" : "TIMED_WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:215)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2078)\njava.util.concurrent.ScheduledThreadPoolExecutor$DelayedWorkQueue.take(ScheduledThreadPoolExecutor.java:1093)\njava.util.concurrent.ScheduledThreadPoolExecutor$DelayedWorkQueue.take(ScheduledThreadPoolExecutor.java:809)\njava.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1074)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1134)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1385411893})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 48,
  "threadName" : "dag-scheduler-event-loop",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingDeque.takeFirst(LinkedBlockingDeque.java:492)\njava.util.concurrent.LinkedBlockingDeque.take(LinkedBlockingDeque.java:680)\norg.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:46)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1138053349})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 17,
  "threadName" : "dispatcher-event-loop-0",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.rpc.netty.Dispatcher$MessageLoop.run(Dispatcher.scala:215)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1764626380})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker832743930})" ]
}, {
  "threadId" : 18,
  "threadName" : "dispatcher-event-loop-1",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.rpc.netty.Dispatcher$MessageLoop.run(Dispatcher.scala:215)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1764626380})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker834153999})" ]
}, {
  "threadId" : 19,
  "threadName" : "dispatcher-event-loop-2",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.rpc.netty.Dispatcher$MessageLoop.run(Dispatcher.scala:215)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1764626380})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker664836465})" ]
}, {
  "threadId" : 20,
  "threadName" : "dispatcher-event-loop-3",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.rpc.netty.Dispatcher$MessageLoop.run(Dispatcher.scala:215)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1764626380})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker1645557354})" ]
}, {
  "threadId" : 21,
  "threadName" : "dispatcher-event-loop-4",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.rpc.netty.Dispatcher$MessageLoop.run(Dispatcher.scala:215)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1764626380})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker1188871851})" ]
}, {
  "threadId" : 22,
  "threadName" : "dispatcher-event-loop-5",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.rpc.netty.Dispatcher$MessageLoop.run(Dispatcher.scala:215)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1764626380})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker920926249})" ]
}, {
  "threadId" : 23,
  "threadName" : "dispatcher-event-loop-6",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.rpc.netty.Dispatcher$MessageLoop.run(Dispatcher.scala:215)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1764626380})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker355222677})" ]
}, {
  "threadId" : 24,
  "threadName" : "dispatcher-event-loop-7",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.rpc.netty.Dispatcher$MessageLoop.run(Dispatcher.scala:215)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1764626380})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker1589745212})" ]
}, {
  "threadId" : 49,
  "threadName" : "driver-heartbeater",
  "threadState" : "TIMED_WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:215)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2078)\njava.util.concurrent.ScheduledThreadPoolExecutor$DelayedWorkQueue.take(ScheduledThreadPoolExecutor.java:1093)\njava.util.concurrent.ScheduledThreadPoolExecutor$DelayedWorkQueue.take(ScheduledThreadPoolExecutor.java:809)\njava.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1074)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1134)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1602885835})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 53,
  "threadName" : "element-tracking-store-worker",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\njava.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1074)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1134)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1439439099})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 3,
  "threadName" : "Finalizer",
  "threadState" : "WAITING",
  "stackTrace" : "java.lang.Object.wait(Native Method)\njava.lang.ref.ReferenceQueue.remove(ReferenceQueue.java:143)\njava.lang.ref.ReferenceQueue.remove(ReferenceQueue.java:164)\njava.lang.ref.Finalizer$FinalizerThread.run(Finalizer.java:209)",
  "blockedByLock" : "Lock(java.lang.ref.ReferenceQueue$Lock1213098236})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 15,
  "threadName" : "ForkJoinPool-1-worker-13",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\nscala.concurrent.forkjoin.ForkJoinPool.scan(ForkJoinPool.java:2075)\nscala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)\nscala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)",
  "blockedByLock" : "Lock(scala.concurrent.forkjoin.ForkJoinPool380286413})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 45,
  "threadName" : "heartbeat-receiver-event-loop-thread",
  "threadState" : "TIMED_WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:215)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2078)\njava.util.concurrent.ScheduledThreadPoolExecutor$DelayedWorkQueue.take(ScheduledThreadPoolExecutor.java:1093)\njava.util.concurrent.ScheduledThreadPoolExecutor$DelayedWorkQueue.take(ScheduledThreadPoolExecutor.java:809)\njava.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1074)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1134)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject715135812})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 1,
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  "threadState" : "RUNNABLE",
  "stackTrace" : "java.io.FileInputStream.read0(Native Method)\njava.io.FileInputStream.read(FileInputStream.java:207)\nscala.tools.jline_embedded.internal.NonBlockingInputStream.read(NonBlockingInputStream.java:169) => holding Monitor(scala.tools.jline_embedded.internal.NonBlockingInputStream46248392})\nscala.tools.jline_embedded.internal.NonBlockingInputStream.read(NonBlockingInputStream.java:137)\nscala.tools.jline_embedded.internal.NonBlockingInputStream.read(NonBlockingInputStream.java:246)\nscala.tools.jline_embedded.internal.InputStreamReader.read(InputStreamReader.java:261) => holding Monitor(scala.tools.jline_embedded.internal.NonBlockingInputStream46248392})\nscala.tools.jline_embedded.internal.InputStreamReader.read(InputStreamReader.java:198) => holding Monitor(scala.tools.jline_embedded.internal.NonBlockingInputStream46248392})\nscala.tools.jline_embedded.console.ConsoleReader.readCharacter(ConsoleReader.java:2145)\nscala.tools.jline_embedded.console.ConsoleReader.readLine(ConsoleReader.java:2349)\nscala.tools.jline_embedded.console.ConsoleReader.readLine(ConsoleReader.java:2269)\nscala.tools.nsc.interpreter.jline_embedded.InteractiveReader.readOneLine(JLineReader.scala:57)\nscala.tools.nsc.interpreter.InteractiveReader$$anonfun$readLine$2.apply(InteractiveReader.scala:37)\nscala.tools.nsc.interpreter.InteractiveReader$$anonfun$readLine$2.apply(InteractiveReader.scala:37)\nscala.tools.nsc.interpreter.InteractiveReader$.restartSysCalls(InteractiveReader.scala:44)\nscala.tools.nsc.interpreter.InteractiveReader$class.readLine(InteractiveReader.scala:37)\nscala.tools.nsc.interpreter.jline_embedded.InteractiveReader.readLine(JLineReader.scala:28)\nscala.tools.nsc.interpreter.ILoop.readOneLine(ILoop.scala:404)\nscala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:413)\nscala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:923)\nscala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)\nscala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)\nscala.reflect.internal.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:97)\nscala.tools.nsc.interpreter.ILoop.process(ILoop.scala:909)\norg.apache.spark.repl.Main$.doMain(Main.scala:76)\norg.apache.spark.repl.Main$.main(Main.scala:56)\norg.apache.spark.repl.Main.main(Main.scala)\nsun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\nsun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\nsun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.lang.reflect.Method.invoke(Method.java:498)\norg.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)\norg.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:879)\norg.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:197)\norg.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:227)\norg.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:136)\norg.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)",
  "blockedByLock" : "",
  "holdingLocks" : [ "Monitor(scala.tools.jline_embedded.internal.NonBlockingInputStream46248392})" ]
}, {
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  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.MapOutputTrackerMaster$MessageLoop.run(MapOutputTracker.scala:384)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject350285679})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker1791280119})" ]
}, {
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  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.MapOutputTrackerMaster$MessageLoop.run(MapOutputTracker.scala:384)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject350285679})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker1947378744})" ]
}, {
  "threadId" : 28,
  "threadName" : "map-output-dispatcher-2",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.MapOutputTrackerMaster$MessageLoop.run(MapOutputTracker.scala:384)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject350285679})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker507507251})" ]
}, {
  "threadId" : 29,
  "threadName" : "map-output-dispatcher-3",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.MapOutputTrackerMaster$MessageLoop.run(MapOutputTracker.scala:384)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject350285679})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker1016408627})" ]
}, {
  "threadId" : 30,
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  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.MapOutputTrackerMaster$MessageLoop.run(MapOutputTracker.scala:384)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject350285679})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker1879219501})" ]
}, {
  "threadId" : 31,
  "threadName" : "map-output-dispatcher-5",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.MapOutputTrackerMaster$MessageLoop.run(MapOutputTracker.scala:384)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject350285679})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker290509937})" ]
}, {
  "threadId" : 32,
  "threadName" : "map-output-dispatcher-6",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.MapOutputTrackerMaster$MessageLoop.run(MapOutputTracker.scala:384)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject350285679})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker1889468930})" ]
}, {
  "threadId" : 33,
  "threadName" : "map-output-dispatcher-7",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.MapOutputTrackerMaster$MessageLoop.run(MapOutputTracker.scala:384)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject350285679})",
  "holdingLocks" : [ "Lock(java.util.concurrent.ThreadPoolExecutor$Worker1699637904})" ]
}, {
  "threadId" : 47,
  "threadName" : "netty-rpc-env-timeout",
  "threadState" : "TIMED_WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:215)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2078)\njava.util.concurrent.ScheduledThreadPoolExecutor$DelayedWorkQueue.take(ScheduledThreadPoolExecutor.java:1093)\njava.util.concurrent.ScheduledThreadPoolExecutor$DelayedWorkQueue.take(ScheduledThreadPoolExecutor.java:809)\njava.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1074)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1134)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject977194847})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 14,
  "threadName" : "NonBlockingInputStreamThread",
  "threadState" : "WAITING",
  "stackTrace" : "java.lang.Object.wait(Native Method)\nscala.tools.jline_embedded.internal.NonBlockingInputStream.run(NonBlockingInputStream.java:278)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByThreadId" : 1,
  "blockedByLock" : "Lock(scala.tools.jline_embedded.internal.NonBlockingInputStream46248392})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 2,
  "threadName" : "Reference Handler",
  "threadState" : "WAITING",
  "stackTrace" : "java.lang.Object.wait(Native Method)\njava.lang.Object.wait(Object.java:502)\njava.lang.ref.Reference.tryHandlePending(Reference.java:191)\njava.lang.ref.Reference$ReferenceHandler.run(Reference.java:153)",
  "blockedByLock" : "Lock(java.lang.ref.Reference$Lock1359433302})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 35,
  "threadName" : "refresh progress",
  "threadState" : "TIMED_WAITING",
  "stackTrace" : "java.lang.Object.wait(Native Method)\njava.util.TimerThread.mainLoop(Timer.java:552)\njava.util.TimerThread.run(Timer.java:505)",
  "blockedByLock" : "Lock(java.util.TaskQueue44276328})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 34,
  "threadName" : "RemoteBlock-temp-file-clean-thread",
  "threadState" : "TIMED_WAITING",
  "stackTrace" : "java.lang.Object.wait(Native Method)\njava.lang.ref.ReferenceQueue.remove(ReferenceQueue.java:143)\norg.apache.spark.storage.BlockManager$RemoteBlockTempFileManager.org$apache$spark$storage$BlockManager$RemoteBlockTempFileManager$$keepCleaning(BlockManager.scala:1630)\norg.apache.spark.storage.BlockManager$RemoteBlockTempFileManager$$anon$1.run(BlockManager.scala:1608)",
  "blockedByLock" : "Lock(java.lang.ref.ReferenceQueue$Lock391748181})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 25,
  "threadName" : "rpc-server-3-1",
  "threadState" : "RUNNABLE",
  "stackTrace" : "sun.nio.ch.KQueueArrayWrapper.kevent0(Native Method)\nsun.nio.ch.KQueueArrayWrapper.poll(KQueueArrayWrapper.java:198)\nsun.nio.ch.KQueueSelectorImpl.doSelect(KQueueSelectorImpl.java:117)\nsun.nio.ch.SelectorImpl.lockAndDoSelect(SelectorImpl.java:86) => holding Monitor(sun.nio.ch.KQueueSelectorImpl2057702496})\nsun.nio.ch.SelectorImpl.select(SelectorImpl.java:97)\nio.netty.channel.nio.SelectedSelectionKeySetSelector.select(SelectedSelectionKeySetSelector.java:62)\nio.netty.channel.nio.NioEventLoop.select(NioEventLoop.java:753)\nio.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:409)\nio.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)\nio.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "",
  "holdingLocks" : [ "Monitor(io.netty.channel.nio.SelectedSelectionKeySet1066929256})", "Monitor(java.util.Collections$UnmodifiableSet561426729})", "Monitor(sun.nio.ch.KQueueSelectorImpl2057702496})" ]
}, {
  "threadId" : 50,
  "threadName" : "shuffle-server-5-1",
  "threadState" : "RUNNABLE",
  "stackTrace" : "sun.nio.ch.KQueueArrayWrapper.kevent0(Native Method)\nsun.nio.ch.KQueueArrayWrapper.poll(KQueueArrayWrapper.java:198)\nsun.nio.ch.KQueueSelectorImpl.doSelect(KQueueSelectorImpl.java:117)\nsun.nio.ch.SelectorImpl.lockAndDoSelect(SelectorImpl.java:86) => holding Monitor(sun.nio.ch.KQueueSelectorImpl1401522546})\nsun.nio.ch.SelectorImpl.select(SelectorImpl.java:97)\nio.netty.channel.nio.SelectedSelectionKeySetSelector.select(SelectedSelectionKeySetSelector.java:62)\nio.netty.channel.nio.NioEventLoop.select(NioEventLoop.java:753)\nio.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:409)\nio.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)\nio.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "",
  "holdingLocks" : [ "Monitor(io.netty.channel.nio.SelectedSelectionKeySet385972319})", "Monitor(java.util.Collections$UnmodifiableSet477937109})", "Monitor(sun.nio.ch.KQueueSelectorImpl1401522546})" ]
}, {
  "threadId" : 4,
  "threadName" : "Signal Dispatcher",
  "threadState" : "RUNNABLE",
  "stackTrace" : "",
  "blockedByLock" : "",
  "holdingLocks" : [ ]
}, {
  "threadId" : 51,
  "threadName" : "Spark Context Cleaner",
  "threadState" : "TIMED_WAITING",
  "stackTrace" : "java.lang.Object.wait(Native Method)\njava.lang.ref.ReferenceQueue.remove(ReferenceQueue.java:143)\norg.apache.spark.ContextCleaner$$anonfun$org$apache$spark$ContextCleaner$$keepCleaning$1.apply$mcV$sp(ContextCleaner.scala:181)\norg.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1319)\norg.apache.spark.ContextCleaner.org$apache$spark$ContextCleaner$$keepCleaning(ContextCleaner.scala:178)\norg.apache.spark.ContextCleaner$$anon$1.run(ContextCleaner.scala:73)",
  "blockedByLock" : "Lock(java.lang.ref.ReferenceQueue$Lock1739420764})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 16,
  "threadName" : "spark-listener-group-appStatus",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.scheduler.AsyncEventQueue$$anonfun$org$apache$spark$scheduler$AsyncEventQueue$$dispatch$1.apply(AsyncEventQueue.scala:94)\nscala.util.DynamicVariable.withValue(DynamicVariable.scala:58)\norg.apache.spark.scheduler.AsyncEventQueue.org$apache$spark$scheduler$AsyncEventQueue$$dispatch(AsyncEventQueue.scala:83)\norg.apache.spark.scheduler.AsyncEventQueue$$anon$1$$anonfun$run$1.apply$mcV$sp(AsyncEventQueue.scala:79)\norg.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1319)\norg.apache.spark.scheduler.AsyncEventQueue$$anon$1.run(AsyncEventQueue.scala:78)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1287190987})",
  "holdingLocks" : [ ]
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  "threadId" : 44,
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  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.scheduler.AsyncEventQueue$$anonfun$org$apache$spark$scheduler$AsyncEventQueue$$dispatch$1.apply(AsyncEventQueue.scala:94)\nscala.util.DynamicVariable.withValue(DynamicVariable.scala:58)\norg.apache.spark.scheduler.AsyncEventQueue.org$apache$spark$scheduler$AsyncEventQueue$$dispatch(AsyncEventQueue.scala:83)\norg.apache.spark.scheduler.AsyncEventQueue$$anon$1$$anonfun$run$1.apply$mcV$sp(AsyncEventQueue.scala:79)\norg.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1319)\norg.apache.spark.scheduler.AsyncEventQueue$$anon$1.run(AsyncEventQueue.scala:78)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject943262890})",
  "holdingLocks" : [ ]
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  "threadId" : 54,
  "threadName" : "spark-listener-group-shared",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\norg.apache.spark.scheduler.AsyncEventQueue$$anonfun$org$apache$spark$scheduler$AsyncEventQueue$$dispatch$1.apply(AsyncEventQueue.scala:94)\nscala.util.DynamicVariable.withValue(DynamicVariable.scala:58)\norg.apache.spark.scheduler.AsyncEventQueue.org$apache$spark$scheduler$AsyncEventQueue$$dispatch(AsyncEventQueue.scala:83)\norg.apache.spark.scheduler.AsyncEventQueue$$anon$1$$anonfun$run$1.apply$mcV$sp(AsyncEventQueue.scala:79)\norg.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1319)\norg.apache.spark.scheduler.AsyncEventQueue$$anon$1.run(AsyncEventQueue.scala:78)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject334604425})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 37,
  "threadName" : "SparkUI-37",
  "threadState" : "TIMED_WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:215)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2078)\norg.spark_project.jetty.util.BlockingArrayQueue.poll(BlockingArrayQueue.java:392)\norg.spark_project.jetty.util.thread.QueuedThreadPool.idleJobPoll(QueuedThreadPool.java:563)\norg.spark_project.jetty.util.thread.QueuedThreadPool.access$800(QueuedThreadPool.java:48)\norg.spark_project.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:626)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1503479572})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 38,
  "threadName" : "SparkUI-38",
  "threadState" : "RUNNABLE",
  "stackTrace" : "sun.nio.ch.KQueueArrayWrapper.kevent0(Native Method)\nsun.nio.ch.KQueueArrayWrapper.poll(KQueueArrayWrapper.java:198)\nsun.nio.ch.KQueueSelectorImpl.doSelect(KQueueSelectorImpl.java:117)\nsun.nio.ch.SelectorImpl.lockAndDoSelect(SelectorImpl.java:86) => holding Monitor(sun.nio.ch.KQueueSelectorImpl841741934})\nsun.nio.ch.SelectorImpl.select(SelectorImpl.java:97)\nsun.nio.ch.SelectorImpl.select(SelectorImpl.java:101)\norg.spark_project.jetty.io.ManagedSelector$SelectorProducer.select(ManagedSelector.java:243)\norg.spark_project.jetty.io.ManagedSelector$SelectorProducer.produce(ManagedSelector.java:191)\norg.spark_project.jetty.util.thread.strategy.ExecuteProduceConsume.executeProduceConsume(ExecuteProduceConsume.java:249)\norg.spark_project.jetty.util.thread.strategy.ExecuteProduceConsume.produceConsume(ExecuteProduceConsume.java:148)\norg.spark_project.jetty.util.thread.strategy.ExecuteProduceConsume.run(ExecuteProduceConsume.java:136)\norg.spark_project.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:671)\norg.spark_project.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:589)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "",
  "holdingLocks" : [ "Monitor(sun.nio.ch.Util$3873523986})", "Monitor(java.util.Collections$UnmodifiableSet1769333189})", "Monitor(sun.nio.ch.KQueueSelectorImpl841741934})" ]
}, {
  "threadId" : 40,
  "threadName" : "SparkUI-40-acceptor-034929380-Spark3a557b62{HTTP/1.1,[http/1.1]}{0.0.0.0:4040}",
  "threadState" : "RUNNABLE",
  "stackTrace" : "sun.nio.ch.ServerSocketChannelImpl.accept0(Native Method)\nsun.nio.ch.ServerSocketChannelImpl.accept(ServerSocketChannelImpl.java:422)\nsun.nio.ch.ServerSocketChannelImpl.accept(ServerSocketChannelImpl.java:250) => holding Monitor(java.lang.Object1134240909})\norg.spark_project.jetty.server.ServerConnector.accept(ServerConnector.java:371)\norg.spark_project.jetty.server.AbstractConnector$Acceptor.run(AbstractConnector.java:601)\norg.spark_project.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:671)\norg.spark_project.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:589)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "",
  "holdingLocks" : [ "Monitor(java.lang.Object1134240909})" ]
}, {
  "threadId" : 43,
  "threadName" : "SparkUI-43",
  "threadState" : "RUNNABLE",
  "stackTrace" : "sun.management.ThreadImpl.dumpThreads0(Native Method)\nsun.management.ThreadImpl.dumpAllThreads(ThreadImpl.java:454)\norg.apache.spark.util.Utils$.getThreadDump(Utils.scala:2170)\norg.apache.spark.SparkContext.getExecutorThreadDump(SparkContext.scala:596)\norg.apache.spark.status.api.v1.AbstractApplicationResource$$anonfun$threadDump$1$$anonfun$apply$1.apply(OneApplicationResource.scala:66)\norg.apache.spark.status.api.v1.AbstractApplicationResource$$anonfun$threadDump$1$$anonfun$apply$1.apply(OneApplicationResource.scala:65)\nscala.Option.flatMap(Option.scala:171)\norg.apache.spark.status.api.v1.AbstractApplicationResource$$anonfun$threadDump$1.apply(OneApplicationResource.scala:65)\norg.apache.spark.status.api.v1.AbstractApplicationResource$$anonfun$threadDump$1.apply(OneApplicationResource.scala:58)\norg.apache.spark.status.api.v1.BaseAppResource$$anonfun$withUI$1.apply(ApiRootResource.scala:139)\norg.apache.spark.status.api.v1.BaseAppResource$$anonfun$withUI$1.apply(ApiRootResource.scala:134)\norg.apache.spark.ui.SparkUI.withSparkUI(SparkUI.scala:106)\norg.apache.spark.status.api.v1.BaseAppResource$class.withUI(ApiRootResource.scala:134)\norg.apache.spark.status.api.v1.AbstractApplicationResource.withUI(OneApplicationResource.scala:32)\norg.apache.spark.status.api.v1.AbstractApplicationResource.threadDump(OneApplicationResource.scala:58)\nsun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\nsun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\nsun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.lang.reflect.Method.invoke(Method.java:498)\norg.glassfish.jersey.server.model.internal.ResourceMethodInvocationHandlerFactory$1.invoke(ResourceMethodInvocationHandlerFactory.java:81)\norg.glassfish.jersey.server.model.internal.AbstractJavaResourceMethodDispatcher$1.run(AbstractJavaResourceMethodDispatcher.java:144)\norg.glassfish.jersey.server.model.internal.AbstractJavaResourceMethodDispatcher.invoke(AbstractJavaResourceMethodDispatcher.java:161)\norg.glassfish.jersey.server.model.internal.JavaResourceMethodDispatcherProvider$TypeOutInvoker.doDispatch(JavaResourceMethodDispatcherProvider.java:205)\norg.glassfish.jersey.server.model.internal.AbstractJavaResourceMethodDispatcher.dispatch(AbstractJavaResourceMethodDispatcher.java:99)\norg.glassfish.jersey.server.model.ResourceMethodInvoker.invoke(ResourceMethodInvoker.java:389)\norg.glassfish.jersey.server.model.ResourceMethodInvoker.apply(ResourceMethodInvoker.java:347)\norg.glassfish.jersey.server.model.ResourceMethodInvoker.apply(ResourceMethodInvoker.java:102)\norg.glassfish.jersey.server.ServerRuntime$2.run(ServerRuntime.java:326)\norg.glassfish.jersey.internal.Errors$1.call(Errors.java:271)\norg.glassfish.jersey.internal.Errors$1.call(Errors.java:267)\norg.glassfish.jersey.internal.Errors.process(Errors.java:315)\norg.glassfish.jersey.internal.Errors.process(Errors.java:297)\norg.glassfish.jersey.internal.Errors.process(Errors.java:267)\norg.glassfish.jersey.process.internal.RequestScope.runInScope(RequestScope.java:317)\norg.glassfish.jersey.server.ServerRuntime.process(ServerRuntime.java:305)\norg.glassfish.jersey.server.ApplicationHandler.handle(ApplicationHandler.java:1154)\norg.glassfish.jersey.servlet.WebComponent.serviceImpl(WebComponent.java:473)\norg.glassfish.jersey.servlet.WebComponent.service(WebComponent.java:427)\norg.glassfish.jersey.servlet.ServletContainer.service(ServletContainer.java:388)\norg.glassfish.jersey.servlet.ServletContainer.service(ServletContainer.java:341)\norg.glassfish.jersey.servlet.ServletContainer.service(ServletContainer.java:228)\norg.spark_project.jetty.servlet.ServletHolder.handle(ServletHolder.java:848)\norg.spark_project.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:584)\norg.spark_project.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1180)\norg.spark_project.jetty.servlet.ServletHandler.doScope(ServletHandler.java:512)\norg.spark_project.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1112)\norg.spark_project.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:141)\norg.spark_project.jetty.server.handler.gzip.GzipHandler.handle(GzipHandler.java:493)\norg.spark_project.jetty.server.handler.ContextHandlerCollection.handle(ContextHandlerCollection.java:213)\norg.spark_project.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:134)\norg.spark_project.jetty.server.Server.handle(Server.java:534)\norg.spark_project.jetty.server.HttpChannel.handle(HttpChannel.java:320)\norg.spark_project.jetty.server.HttpConnection.onFillable(HttpConnection.java:251)\norg.spark_project.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:283)\norg.spark_project.jetty.io.FillInterest.fillable(FillInterest.java:108)\norg.spark_project.jetty.io.SelectChannelEndPoint$2.run(SelectChannelEndPoint.java:93)\norg.spark_project.jetty.util.thread.strategy.ExecuteProduceConsume.executeProduceConsume(ExecuteProduceConsume.java:303)\norg.spark_project.jetty.util.thread.strategy.ExecuteProduceConsume.produceConsume(ExecuteProduceConsume.java:148)\norg.spark_project.jetty.util.thread.strategy.ExecuteProduceConsume.run(ExecuteProduceConsume.java:136)\norg.spark_project.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:671)\norg.spark_project.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:589)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "",
  "holdingLocks" : [ ]
}, {
  "threadId" : 67,
  "threadName" : "SparkUI-67",
  "threadState" : "RUNNABLE",
  "stackTrace" : "sun.nio.ch.KQueueArrayWrapper.kevent0(Native Method)\nsun.nio.ch.KQueueArrayWrapper.poll(KQueueArrayWrapper.java:198)\nsun.nio.ch.KQueueSelectorImpl.doSelect(KQueueSelectorImpl.java:117)\nsun.nio.ch.SelectorImpl.lockAndDoSelect(SelectorImpl.java:86) => holding Monitor(sun.nio.ch.KQueueSelectorImpl1837806480})\nsun.nio.ch.SelectorImpl.select(SelectorImpl.java:97)\nsun.nio.ch.SelectorImpl.select(SelectorImpl.java:101)\norg.spark_project.jetty.io.ManagedSelector$SelectorProducer.select(ManagedSelector.java:243)\norg.spark_project.jetty.io.ManagedSelector$SelectorProducer.produce(ManagedSelector.java:191)\norg.spark_project.jetty.util.thread.strategy.ExecuteProduceConsume.executeProduceConsume(ExecuteProduceConsume.java:249)\norg.spark_project.jetty.util.thread.strategy.ExecuteProduceConsume.produceConsume(ExecuteProduceConsume.java:148)\norg.spark_project.jetty.util.thread.strategy.ExecuteProduceConsume.run(ExecuteProduceConsume.java:136)\norg.spark_project.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:671)\norg.spark_project.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:589)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "",
  "holdingLocks" : [ "Monitor(sun.nio.ch.Util$3881415814})", "Monitor(java.util.Collections$UnmodifiableSet62050480})", "Monitor(sun.nio.ch.KQueueSelectorImpl1837806480})" ]
}, {
  "threadId" : 68,
  "threadName" : "SparkUI-68",
  "threadState" : "RUNNABLE",
  "stackTrace" : "sun.nio.ch.KQueueArrayWrapper.kevent0(Native Method)\nsun.nio.ch.KQueueArrayWrapper.poll(KQueueArrayWrapper.java:198)\nsun.nio.ch.KQueueSelectorImpl.doSelect(KQueueSelectorImpl.java:117)\nsun.nio.ch.SelectorImpl.lockAndDoSelect(SelectorImpl.java:86) => holding Monitor(sun.nio.ch.KQueueSelectorImpl223607814})\nsun.nio.ch.SelectorImpl.select(SelectorImpl.java:97)\nsun.nio.ch.SelectorImpl.select(SelectorImpl.java:101)\norg.spark_project.jetty.io.ManagedSelector$SelectorProducer.select(ManagedSelector.java:243)\norg.spark_project.jetty.io.ManagedSelector$SelectorProducer.produce(ManagedSelector.java:191)\norg.spark_project.jetty.util.thread.strategy.ExecuteProduceConsume.executeProduceConsume(ExecuteProduceConsume.java:249)\norg.spark_project.jetty.util.thread.strategy.ExecuteProduceConsume.produceConsume(ExecuteProduceConsume.java:148)\norg.spark_project.jetty.util.thread.strategy.ExecuteProduceConsume.run(ExecuteProduceConsume.java:136)\norg.spark_project.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:671)\norg.spark_project.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:589)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "",
  "holdingLocks" : [ "Monitor(sun.nio.ch.Util$3543145185})", "Monitor(java.util.Collections$UnmodifiableSet897441546})", "Monitor(sun.nio.ch.KQueueSelectorImpl223607814})" ]
}, {
  "threadId" : 71,
  "threadName" : "SparkUI-71",
  "threadState" : "TIMED_WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:215)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2078)\norg.spark_project.jetty.util.BlockingArrayQueue.poll(BlockingArrayQueue.java:392)\norg.spark_project.jetty.util.thread.QueuedThreadPool.idleJobPoll(QueuedThreadPool.java:563)\norg.spark_project.jetty.util.thread.QueuedThreadPool.access$800(QueuedThreadPool.java:48)\norg.spark_project.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:626)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1503479572})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 77,
  "threadName" : "SparkUI-77",
  "threadState" : "TIMED_WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:215)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2078)\norg.spark_project.jetty.util.BlockingArrayQueue.poll(BlockingArrayQueue.java:392)\norg.spark_project.jetty.util.thread.QueuedThreadPool.idleJobPoll(QueuedThreadPool.java:563)\norg.spark_project.jetty.util.thread.QueuedThreadPool.access$800(QueuedThreadPool.java:48)\norg.spark_project.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:626)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1503479572})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 78,
  "threadName" : "SparkUI-78",
  "threadState" : "RUNNABLE",
  "stackTrace" : "sun.nio.ch.KQueueArrayWrapper.kevent0(Native Method)\nsun.nio.ch.KQueueArrayWrapper.poll(KQueueArrayWrapper.java:198)\nsun.nio.ch.KQueueSelectorImpl.doSelect(KQueueSelectorImpl.java:117)\nsun.nio.ch.SelectorImpl.lockAndDoSelect(SelectorImpl.java:86) => holding Monitor(sun.nio.ch.KQueueSelectorImpl403077801})\nsun.nio.ch.SelectorImpl.select(SelectorImpl.java:97)\nsun.nio.ch.SelectorImpl.select(SelectorImpl.java:101)\norg.spark_project.jetty.io.ManagedSelector$SelectorProducer.select(ManagedSelector.java:243)\norg.spark_project.jetty.io.ManagedSelector$SelectorProducer.produce(ManagedSelector.java:191)\norg.spark_project.jetty.util.thread.strategy.ExecuteProduceConsume.executeProduceConsume(ExecuteProduceConsume.java:249)\norg.spark_project.jetty.util.thread.strategy.ExecuteProduceConsume.produceConsume(ExecuteProduceConsume.java:148)\norg.spark_project.jetty.util.thread.strategy.ExecuteProduceConsume.run(ExecuteProduceConsume.java:136)\norg.spark_project.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:671)\norg.spark_project.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:589)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "",
  "holdingLocks" : [ "Monitor(sun.nio.ch.Util$3261312406})", "Monitor(java.util.Collections$UnmodifiableSet852901260})", "Monitor(sun.nio.ch.KQueueSelectorImpl403077801})" ]
}, {
  "threadId" : 72,
  "threadName" : "SparkUI-JettyScheduler",
  "threadState" : "TIMED_WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:215)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2078)\njava.util.concurrent.ScheduledThreadPoolExecutor$DelayedWorkQueue.take(ScheduledThreadPoolExecutor.java:1093)\njava.util.concurrent.ScheduledThreadPoolExecutor$DelayedWorkQueue.take(ScheduledThreadPoolExecutor.java:809)\njava.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1074)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1134)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject1587346642})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 63,
  "threadName" : "task-result-getter-0",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\njava.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1074)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1134)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject537563105})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 64,
  "threadName" : "task-result-getter-1",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\njava.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1074)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1134)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject537563105})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 65,
  "threadName" : "task-result-getter-2",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\njava.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1074)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1134)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject537563105})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 66,
  "threadName" : "task-result-getter-3",
  "threadState" : "WAITING",
  "stackTrace" : "sun.misc.Unsafe.park(Native Method)\njava.util.concurrent.locks.LockSupport.park(LockSupport.java:175)\njava.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)\njava.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)\njava.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1074)\njava.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1134)\njava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\njava.lang.Thread.run(Thread.java:748)",
  "blockedByLock" : "Lock(java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject537563105})",
  "holdingLocks" : [ ]
}, {
  "threadId" : 46,
  "threadName" : "Timer-0",
  "threadState" : "WAITING",
  "stackTrace" : "java.lang.Object.wait(Native Method)\njava.lang.Object.wait(Object.java:502)\njava.util.TimerThread.mainLoop(Timer.java:526)\njava.util.TimerThread.run(Timer.java:505)",
  "blockedByLock" : "Lock(java.util.TaskQueue635634547})",
  "holdingLocks" : [ ]
} ]
```
</details>

## How was this patch tested?

It was tested manually.

Old executor page with thread dumps:

<img width="1632" alt="screen shot 2018-02-01 at 14 31 19" src="https://user-images.githubusercontent.com/2017933/35682124-e2ec5d96-075f-11e8-9713-a502e12d05c2.png">

New api:

<img width="1669" alt="screen shot 2018-02-01 at 14 31 56" src="https://user-images.githubusercontent.com/2017933/35682149-f75b80d6-075f-11e8-95b0-c75d048f0b04.png">

Testing error cases.

Initial state:

![screen shot 2018-02-06 at 13 05 05](https://user-images.githubusercontent.com/2017933/35858990-ad2982be-0b3e-11e8-879b-656112065c7f.png)

Dead executor:

```bash
$ curl -o - -s -w "\n%{http_code}\n"   http://localhost:4040/api/v1/applications/app-20180206122543-0000/executors/1/threads

Executor is not active.
400
```

Never existed (but well formatted: number) executor ID:

```bash
$ curl -o - -s -w "\n%{http_code}\n"   http://localhost:4040/api/v1/applications/app-20180206122543-0000/executors/42/threads

Executor does not exist.
404
```

Not available stacktrace (dead executor but UI has not registered as dead yet):
```bash
$ kill -9 <PID of CoarseGrainedExecutorBackend for executor 2> ;  curl -o - -s -w "\n%{http_code}\n"   http://localhost:4040/api/v1/applications/app-20180206122543-0000/executors/2/threads

No thread dump is available.
404
```

Invalid executor ID format:

```bash
$ curl -o - -s -w "\n%{http_code}\n"   http://localhost:4040/api/v1/applications/app-20180206122543-0000/executors/something6/threads

Invalid executorId: neither 'driver' nor number.
400
```

Author: “attilapiros” <piros.attila.zsolt@gmail.com>

Closes #20474 from attilapiros/SPARK-23235.
2018-02-13 16:46:43 -06:00
Shashwat Anand 84a076e0e9 [SPARK-23165][DOC] Spelling mistake fix in quick-start doc.
## What changes were proposed in this pull request?

Fix spelling in quick-start doc.

## How was this patch tested?

Doc only.

Author: Shashwat Anand <me@shashwat.me>

Closes #20336 from ashashwat/SPARK-23165.
2018-01-20 14:34:37 -08:00
guoxiaolong fe93c0bf61 [DOC] update the API doc and modify the stage API description
## What changes were proposed in this pull request?

**1.stage api modify the description format**
<td>A list of all stages for a given application.</td>
<br><code>?status=[active|complete|pending|failed]</code> list only stages in the state.
content should be included in <td> </ td>

fix before:
![1](https://user-images.githubusercontent.com/26266482/31753100-201f3432-b4c1-11e7-9e8d-54b62b96c17f.png)

fix after:
![2](https://user-images.githubusercontent.com/26266482/31753102-23b174de-b4c1-11e7-96ad-fd79d10440b9.png)

**2.add version api doc '/api/v1/version' in monitoring.md**

fix after:
![3](https://user-images.githubusercontent.com/26266482/31753087-0fd3a036-b4c1-11e7-802f-a6dc86a2a4b0.png)

## How was this patch tested?
manual tests

Please review http://spark.apache.org/contributing.html before opening a pull request.

Author: guoxiaolong <guo.xiaolong1@zte.com.cn>

Closes #19532 from guoxiaolongzte/SPARK-22311.
2017-11-09 11:46:01 +01:00
Marcelo Vanzin 74daf622de [SPARK-20642][CORE] Store FsHistoryProvider listing data in a KVStore.
The application listing is still generated from event logs, but is now stored
in a KVStore instance. By default an in-memory store is used, but a new config
allows setting a local disk path to store the data, in which case a LevelDB
store will be created.

The provider stores things internally using the public REST API types; I believe
this is better going forward since it will make it easier to get rid of the
internal history server API which is mostly redundant at this point.

I also added a finalizer to LevelDBIterator, to make sure that resources are
eventually released. This helps when code iterates but does not exhaust the
iterator, thus not triggering the auto-close code.

HistoryServerSuite was modified to not re-start the history server unnecessarily;
this makes the json validation tests run more quickly.

Author: Marcelo Vanzin <vanzin@cloudera.com>

Closes #18887 from vanzin/SPARK-20642.
2017-09-27 20:33:41 +08:00
Xiaofeng Lin cd5d0f3379 [SPARK-11574][CORE] Add metrics StatsD sink
This patch adds statsd sink to the current metrics system in spark core.

Author: Xiaofeng Lin <xlin@twilio.com>

Closes #9518 from xflin/statsd.

Change-Id: Ib8720e86223d4a650df53f51ceb963cd95b49a44
2017-08-31 08:57:15 +08:00
pgandhi 24e6c187fb [SPARK-21798] No config to replace deprecated SPARK_CLASSPATH config for launching daemons like History Server
History Server Launch uses SparkClassCommandBuilder for launching the server. It is observed that SPARK_CLASSPATH has been removed and deprecated. For spark-submit this takes a different route and spark.driver.extraClasspath takes care of specifying additional jars in the classpath that were previously specified in the SPARK_CLASSPATH. Right now the only way specify the additional jars for launching daemons such as history server is using SPARK_DIST_CLASSPATH (https://spark.apache.org/docs/latest/hadoop-provided.html) but this I presume is a distribution classpath. It would be nice to have a similar config like spark.driver.extraClasspath for launching daemons similar to history server.

Added new environment variable SPARK_DAEMON_CLASSPATH to set classpath for launching daemons. Tested and verified for History Server and Standalone Mode.

## How was this patch tested?
Initially, history server start script would fail for the reason being that it could not find the required jars for launching the server in the java classpath. Same was true for running Master and Worker in standalone mode. By adding the environment variable SPARK_DAEMON_CLASSPATH to the java classpath, both the daemons(History Server, Standalone daemons) are starting up and running.

Author: pgandhi <pgandhi@yahoo-inc.com>
Author: pgandhi999 <parthkgandhi9@gmail.com>

Closes #19047 from pgandhi999/master.
2017-08-28 08:51:22 -05:00
Hervé 34767997e0 Small rewording about history server use case
Hello
PR #10991 removed the built-in history view from Spark Standalone, so the history server is no longer useful to Yarn or Mesos only.

Author: Hervé <dud225@users.noreply.github.com>

Closes #17709 from dud225/patch-1.
2017-04-21 08:52:18 +01:00
郭小龙 10207633 9e0893b53d [SPARK-20218][DOC][APP-ID] applications//stages' in REST API,add description.
## What changes were proposed in this pull request?

1. '/applications/[app-id]/stages' in rest api.status should add description '?status=[active|complete|pending|failed] list only stages in the state.'

Now the lack of this description, resulting in the use of this api do not know the use of the status through the brush stage list.

2.'/applications/[app-id]/stages/[stage-id]' in REST API,remove redundant description ‘?status=[active|complete|pending|failed] list only stages in the state.’.
Because only one stage is determined based on stage-id.

code:
  GET
  def stageList(QueryParam("status") statuses: JList[StageStatus]): Seq[StageData] = {
    val listener = ui.jobProgressListener
    val stageAndStatus = AllStagesResource.stagesAndStatus(ui)
    val adjStatuses = {
      if (statuses.isEmpty()) {
        Arrays.asList(StageStatus.values(): _*)
      } else {
        statuses
      }
    };

## How was this patch tested?

manual tests

Please review http://spark.apache.org/contributing.html before opening a pull request.

Author: 郭小龙 10207633 <guo.xiaolong1@zte.com.cn>

Closes #17534 from guoxiaolongzte/SPARK-20218.
2017-04-07 13:03:07 +01:00
guoxiaolongzte c95fbea68e [SPARK-20190][APP-ID] applications//jobs' in rest api,status should be [running|s…
…ucceeded|failed|unknown]

## What changes were proposed in this pull request?

'/applications/[app-id]/jobs' in rest api.status should be'[running|succeeded|failed|unknown]'.
now status is '[complete|succeeded|failed]'.
but '/applications/[app-id]/jobs?status=complete' the server return 'HTTP ERROR 404'.
Added '?status=running' and '?status=unknown'.
code :
public enum JobExecutionStatus {
RUNNING,
SUCCEEDED,
FAILED,
UNKNOWN;

## How was this patch tested?

 manual tests

Please review http://spark.apache.org/contributing.html before opening a pull request.

Author: guoxiaolongzte <guo.xiaolong1@zte.com.cn>

Closes #17507 from guoxiaolongzte/SPARK-20190.
2017-04-04 09:56:17 +01:00
hyukjinkwon 364b0db753 [MINOR][DOCS] Replace non-breaking space to normal spaces that breaks rendering markdown
# What changes were proposed in this pull request?

It seems there are several non-breaking spaces were inserted into several `.md`s and they look breaking rendering markdown files.

These are different. For example, this can be checked via `python` as below:

```python
>>> " "
'\xc2\xa0'
>>> " "
' '
```

_Note that it seems this PR description automatically replaces non-breaking spaces into normal spaces. Please open a `vi` and copy and paste it into `python` to verify this (do not copy the characters here)._

I checked the output below in  Sapari and Chrome on Mac OS and, Internal Explorer on Windows 10.

**Before**

![2017-04-03 12 37 17](https://cloud.githubusercontent.com/assets/6477701/24594655/50aaba02-186a-11e7-80bb-d34b17a3398a.png)
![2017-04-03 12 36 57](https://cloud.githubusercontent.com/assets/6477701/24594654/50a855e6-186a-11e7-94e2-661e56544b0f.png)

**After**

![2017-04-03 12 36 46](https://cloud.githubusercontent.com/assets/6477701/24594657/53c2545c-186a-11e7-9a73-00529afbfd75.png)
![2017-04-03 12 36 31](https://cloud.githubusercontent.com/assets/6477701/24594658/53c286c0-186a-11e7-99c9-e66b1f510fe7.png)

## How was this patch tested?

Manually checking.

These instances were found via

```
grep --include=*.scala --include=*.python --include=*.java --include=*.r --include=*.R --include=*.md --include=*.r -r -I " " .
```

in Mac OS.

It seems there are several instances more as below:

```
./docs/sql-programming-guide.md:        │   ├── ...
./docs/sql-programming-guide.md:        │   │
./docs/sql-programming-guide.md:        │   ├── country=US
./docs/sql-programming-guide.md:        │   │   └── data.parquet
./docs/sql-programming-guide.md:        │   ├── country=CN
./docs/sql-programming-guide.md:        │   │   └── data.parquet
./docs/sql-programming-guide.md:        │   └── ...
./docs/sql-programming-guide.md:            ├── ...
./docs/sql-programming-guide.md:            │
./docs/sql-programming-guide.md:            ├── country=US
./docs/sql-programming-guide.md:            │   └── data.parquet
./docs/sql-programming-guide.md:            ├── country=CN
./docs/sql-programming-guide.md:            │   └── data.parquet
./docs/sql-programming-guide.md:            └── ...
./sql/core/src/test/README.md:│   ├── *.avdl                  # Testing Avro IDL(s)
./sql/core/src/test/README.md:│   └── *.avpr                  # !! NO TOUCH !! Protocol files generated from Avro IDL(s)
./sql/core/src/test/README.md:│   ├── gen-avro.sh             # Script used to generate Java code for Avro
./sql/core/src/test/README.md:│   └── gen-thrift.sh           # Script used to generate Java code for Thrift
```

These seems generated via `tree` command which inserts non-breaking spaces. They do not look causing any problem for rendering within code blocks and I did not fix it to reduce the overhead to manually replace it when it is overwritten via `tree` command in the future.

Author: hyukjinkwon <gurwls223@gmail.com>

Closes #17517 from HyukjinKwon/non-breaking-space.
2017-04-03 10:09:11 +01:00
uncleGen d027624574 [SPARK-16122][DOCS] application environment rest api
## What changes were proposed in this pull request?

follow up pr of #16949.

## How was this patch tested?

jenkins

Author: uncleGen <hustyugm@gmail.com>

Closes #17033 from uncleGen/doc-restapi-environment.
2017-02-23 17:06:14 -08:00
Parag Chaudhari 0ff67a1cf9 [SPARK-14049][CORE] Add functionality in spark history sever API to query applications by end time
## What changes were proposed in this pull request?

Currently, spark history server REST API provides functionality to query applications by application start time range based on minDate and maxDate query parameters, but it  lacks support to query applications by their end time. In this pull request we are proposing optional minEndDate and maxEndDate query parameters and filtering capability based on these parameters to spark history server REST API. This functionality can be used for following queries,
1. Applications finished in last 'x' minutes
2. Applications finished before 'y' time
3. Applications finished between 'x' time to 'y' time
4. Applications started from 'x' time and finished before 'y' time.

For backward compatibility, we can keep existing minDate and maxDate query parameters as they are and they can continue support filtering based on start time range.
## How was this patch tested?

Existing unit tests and 4 new unit tests.

Author: Parag Chaudhari <paragpc@amazon.com>

Closes #11867 from paragpc/master-SHS-query-by-endtime_2.
2017-01-24 08:41:46 -06:00
jerryshao 4a4c3dc9ca [SPARK-19033][CORE] Add admin acls for history server
## What changes were proposed in this pull request?

Current HistoryServer's ACLs is derived from application event-log, which means the newly changed ACLs cannot be applied to the old data, this will become a problem where newly added admin cannot access the old application history UI, only the new application can be affected.

So here propose to add admin ACLs for history server, any configured user/group could have the view access to all the applications, while the view ACLs derived from application run-time still take effect.

## How was this patch tested?

Unit test added.

Author: jerryshao <sshao@hortonworks.com>

Closes #16470 from jerryshao/SPARK-19033.
2017-01-06 10:07:54 -06:00
uncleGen 6873430cb5 [SPARK-19009][DOC] Add streaming rest api doc
## What changes were proposed in this pull request?

add streaming rest api doc

related to pr #16253

cc saturday-shi srowen

## How was this patch tested?

Author: uncleGen <hustyugm@gmail.com>

Closes #16414 from uncleGen/SPARK-19009.
2017-01-04 15:14:51 -08:00
Jacek Laskowski b162cc0c28
[MINOR][CORE][SQL][DOCS] Typo fixes
## What changes were proposed in this pull request?

Typo fixes

## How was this patch tested?

Local build. Awaiting the official build.

Author: Jacek Laskowski <jacek@japila.pl>

Closes #16144 from jaceklaskowski/typo-fixes.
2016-12-09 18:45:57 +08:00
Weiqing Yang 241e04bc03
[MINOR][DOC] Fix typos in the 'configuration', 'monitoring' and 'sql-programming-guide' documentation
## What changes were proposed in this pull request?

Fix typos in the 'configuration', 'monitoring' and 'sql-programming-guide' documentation.

## How was this patch tested?
Manually.

Author: Weiqing Yang <yangweiqing001@gmail.com>

Closes #15886 from weiqingy/fixTypo.
2016-11-16 10:34:56 +00:00
Yangyang Liu 5bea8757cc [SPARK-16619] Add shuffle service metrics entry in monitoring docs
After change [SPARK-16405](https://github.com/apache/spark/pull/14080), we need to update docs by adding shuffle service metrics entry in currently supporting metrics list.

Author: Yangyang Liu <yangyangliu@fb.com>

Closes #14254 from lovexi/yangyang-monitoring-doc.
2016-09-01 17:01:16 -07:00
Alex Bozarth f7beae6da0 [SPARK-17243][WEB UI] Spark 2.0 History Server won't load with very large application history
## What changes were proposed in this pull request?

With the new History Server the summary page loads the application list via the the REST API, this makes it very slow to impossible to load with large (10K+) application history. This pr fixes this by adding the `spark.history.ui.maxApplications` conf to limit the number of applications the History Server displays. This is accomplished using a new optional `limit` param for the `applications` api. (Note this only applies to what the summary page displays, all the Application UI's are still accessible if the user knows the App ID and goes to the Application UI directly.)

I've also added a new test for the `limit` param in `HistoryServerSuite.scala`

## How was this patch tested?

Manual testing and dev/run-tests

Author: Alex Bozarth <ajbozart@us.ibm.com>

Closes #14835 from ajbozarth/spark17243.
2016-08-30 16:33:54 -05:00
Mark Grover 70f846a313 [SPARK-5847][CORE] Allow for configuring MetricsSystem's use of app ID to namespace all metrics
## What changes were proposed in this pull request?
Adding a new property to SparkConf called spark.metrics.namespace that allows users to
set a custom namespace for executor and driver metrics in the metrics systems.

By default, the root namespace used for driver or executor metrics is
the value of `spark.app.id`. However, often times, users want to be able to track the metrics
across apps for driver and executor metrics, which is hard to do with application ID
(i.e. `spark.app.id`) since it changes with every invocation of the app. For such use cases,
users can set the `spark.metrics.namespace` property to another spark configuration key like
`spark.app.name` which is then used to populate the root namespace of the metrics system
(with the app name in our example). `spark.metrics.namespace` property can be set to any
arbitrary spark property key, whose value would be used to set the root namespace of the
metrics system. Non driver and executor metrics are never prefixed with `spark.app.id`, nor
does the `spark.metrics.namespace` property have any such affect on such metrics.

## How was this patch tested?
Added new unit tests, modified existing unit tests.

Author: Mark Grover <mark@apache.org>

Closes #14270 from markgrover/spark-5847.
2016-07-27 10:13:15 -07:00
Kishor Patil b9bab4dcf6 [SPARK-15951] Change Executors Page to use datatables to support sorting columns and searching
1. Create the executorspage-template.html for displaying application information in datables.
2. Added REST API endpoint "allexecutors" to be able to see all executors created for particular job.
3. The executorspage.js uses jQuery to access the data from /api/v1/applications/appid/allexecutors REST API, and use DataTable to display executors for the application. It also, generates summary of dead/live and total executors created during life of the application.
4. Similar changes applicable to Executors Page on history server for a given application.

Snapshots for how it looks like now:
<img width="938" alt="screen shot 2016-06-14 at 2 45 44 pm" src="https://cloud.githubusercontent.com/assets/6090397/16060092/ad1de03a-324b-11e6-8469-9eaa3f2548b5.png">

New Executors Page screenshot looks like this:
<img width="1436" alt="screen shot 2016-06-15 at 10 12 01 am" src="https://cloud.githubusercontent.com/assets/6090397/16085514/ee7004f0-32e1-11e6-9340-33d91e407f2b.png">

Author: Kishor Patil <kpatil@yahoo-inc.com>

Closes #13670 from kishorvpatil/execTemplates.
2016-07-20 12:22:43 -05:00
Weiqing Yang 95abbe5377 [SPARK-15923][YARN] Spark Application rest api returns 'no such app: …
## What changes were proposed in this pull request?
Update monitoring.md.

…<appId>'

Author: Weiqing Yang <yangweiqing001@gmail.com>

Closes #14163 from Sherry302/master.
2016-07-20 14:26:26 +01:00
Dhruve Ashar f1bf0d2f3a [SPARK-15966][DOC] Add closing tag to fix rendering issue for Spark monitoring
## What changes were proposed in this pull request?
Adds the missing closing tag for spark.ui.view.acls.groups

## How was this patch tested?
I built the docs locally and verified the changed in browser.

(If this patch involves UI changes, please attach a screenshot; otherwise, remove this)
**Before:**
![image](https://cloud.githubusercontent.com/assets/7732317/16135005/49fc0724-33e6-11e6-9390-98711593fa5b.png)

**After:**
![image](https://cloud.githubusercontent.com/assets/7732317/16135021/62b5c4a8-33e6-11e6-8118-b22fda5c66eb.png)

Author: Dhruve Ashar <dhruveashar@gmail.com>

Closes #13719 from dhruve/doc/SPARK-15966.
2016-06-16 17:46:19 -07:00
Bryan Cutler cf2e9da612 [SPARK-12299][CORE] Remove history serving functionality from Master
Remove history server functionality from standalone Master.  Previously, the Master process rebuilt a SparkUI once the application was completed which sometimes caused problems, such as OOM, when the application event log is large (see SPARK-6270).  Keeping this functionality out of the Master will help to simplify the process and increase stability.

Testing for this change included running core unit tests and manually running an application on a standalone cluster to verify that it completed successfully and that the Master UI functioned correctly.  Also added 2 unit tests to verify killing an application and driver from MasterWebUI makes the correct request to the Master.

Author: Bryan Cutler <cutlerb@gmail.com>

Closes #10991 from BryanCutler/remove-history-master-SPARK-12299.
2016-05-04 14:29:54 -07:00
Dhruve Ashar a45647746d [SPARK-4224][CORE][YARN] Support group acls
## What changes were proposed in this pull request?
Currently only a list of users can be specified for view and modify acls. This change enables a group of admins/devs/users to be provisioned for viewing and modifying Spark jobs.

**Changes Proposed in the fix**
Three new corresponding config entries have been added where the user can specify the groups to be given access.

```
spark.admin.acls.groups
spark.modify.acls.groups
spark.ui.view.acls.groups
```

New config entries were added because specifying the users and groups explicitly is a better and cleaner way compared to specifying them in the existing config entry using a delimiter.

A generic trait has been introduced to provide the user to group mapping which makes it pluggable to support a variety of mapping protocols - similar to the one used in hadoop. A default unix shell based implementation has been provided.
Custom user to group mapping protocol can be specified and configured by the entry ```spark.user.groups.mapping```

**How the patch was Tested**
We ran different spark jobs setting the config entries in combinations of admin, modify and ui acls. For modify acls we tried killing the job stages from the ui and using yarn commands. For view acls we tried accessing the UI tabs and the logs. Headless accounts were used to launch these jobs and different users tried to modify and view the jobs to ensure that the groups mapping applied correctly.

Additional Unit tests have been added without modifying the existing ones. These test for different ways of setting the acls through configuration and/or API and validate the expected behavior.

Author: Dhruve Ashar <dhruveashar@gmail.com>

Closes #12760 from dhruve/impr/SPARK-4224.
2016-05-04 08:45:43 -05:00
Ben McCann 214d1be4fd Fix reference to external metrics documentation
Author: Ben McCann <benjamin.j.mccann@gmail.com>

Closes #12833 from benmccann/patch-1.
2016-05-01 22:43:28 -07:00
Steve Loughran db7113b1d3 [SPARK-13267][WEB UI] document the ?param arguments of the REST API; lift the…
Add to the REST API details on the ? args and examples from the test suite.

I've used the existing table, adding all the fields to the second table.

see [in the pr](https://github.com/steveloughran/spark/blob/history/SPARK-13267-doc-params/docs/monitoring.md).

There's a slightly more sophisticated option: make the table 3 columns wide, and for all existing entries, have the initial `td` span 2 columns. The new entries would then have an empty 1st column, param in 2nd and text in 3rd, with any examples after a `br` entry.

Author: Steve Loughran <stevel@hortonworks.com>

Closes #11152 from steveloughran/history/SPARK-13267-doc-params.
2016-04-24 10:32:22 +01:00
Parth Brahmbhatt 6fdd0e32a6 [SPARK-13988][CORE] Make replaying event logs multi threaded in Histo…ry server to ensure a single large log does not block other logs from being rendered.
## What changes were proposed in this pull request?
The patch makes event log processing multi threaded.

## How was this patch tested?
Existing tests pass, there is no new tests needed to test the functionality as this is a perf improvement. I tested the patch locally by generating one big event log (big1), one small event log(small1) and again a big event log(big2). Without this patch UI does not render any app for almost 30 seconds and then big2 and small1 appears. another 30 second delay and finally big1 also shows up in UI. With this change small1 shows up immediately and big1 and big2 comes up in 30 seconds. Locally it also displays them in the correct order in the UI.

Author: Parth Brahmbhatt <pbrahmbhatt@netflix.com>

Closes #11800 from Parth-Brahmbhatt/SPARK-13988.
2016-04-21 06:58:00 -05:00
Michael Gummelt 4d93b653f7 [Docs] Update monitoring.md to accurately describe the history server
It looks like the docs were recently updated to reflect the History Server's support for incomplete applications, but they still had wording that suggested only completed applications were viewable.  This fixes that.

My editor also introduced several whitespace removal changes, that I hope are OK, as text files shouldn't have trailing whitespace.  To verify they're purely whitespace changes, add `&w=1` to your browser address.  If this isn't acceptable, let me know and I'll update the PR.

I also didn't think this required a JIRA.  Let me know if I should create one.

Not tested

Author: Michael Gummelt <mgummelt@mesosphere.io>

Closes #12045 from mgummelt/update-history-docs.
2016-03-31 12:06:21 -07:00
Dongjoon Hyun 024482bf51 [MINOR][DOCS] Fix all typos in markdown files of doc and similar patterns in other comments
## What changes were proposed in this pull request?

This PR tries to fix all typos in all markdown files under `docs` module,
and fixes similar typos in other comments, too.

## How was the this patch tested?

manual tests.

Author: Dongjoon Hyun <dongjoon@apache.org>

Closes #11300 from dongjoon-hyun/minor_fix_typos.
2016-02-22 09:52:07 +00:00
Steve Loughran a2c7dcf61f [SPARK-7889][WEBUI] HistoryServer updates UI for incomplete apps
When the HistoryServer is showing an incomplete app, it needs to check if there is a newer version of the app available.  It does this by checking if a version of the app has been loaded with a larger *filesize*.  If so, it detaches the current UI, attaches the new one, and redirects back to the same URL to show the new UI.

https://issues.apache.org/jira/browse/SPARK-7889

Author: Steve Loughran <stevel@hortonworks.com>
Author: Imran Rashid <irashid@cloudera.com>

Closes #11118 from squito/SPARK-7889-alternate.
2016-02-11 21:37:53 -06:00
Kousuke Saruta ba1c4e138d [SPARK-9558][DOCS]Update docs to follow the increase of memory defaults.
Now the memory defaults of master and slave in Standalone mode and History Server is 1g, not 512m. So let's update docs.

Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>

Closes #7896 from sarutak/update-doc-for-daemon-memory and squashes the following commits:

a77626c [Kousuke Saruta] Fix docs to follow the update of increase of memory defaults
2015-08-03 12:53:44 -07:00
Hari Shreedharan 566cb59479 [HOTFIX] History Server API docs error fix.
Minor error in the monitoring docs. Also made indentation changes in `ApiRootResource`

Author: Hari Shreedharan <hshreedharan@apache.org>

Closes #6628 from harishreedharan/eventlog-formatting and squashes the following commits:

a12553d [Hari Shreedharan] Javadoc updates.
ca399b6 [Hari Shreedharan] [HOTFIX] History Server API docs error fix.
2015-06-03 16:53:57 -07:00
Hari Shreedharan d2a86eb8f0 [SPARK-7161] [HISTORY SERVER] Provide REST api to download event logs fro...
...m History Server

This PR adds a new API that allows the user to download event logs for an application as a zip file. APIs have been added to download all logs for a given application or just for a specific attempt.

This also add an additional method to the ApplicationHistoryProvider to get the raw files, zipped.

Author: Hari Shreedharan <hshreedharan@apache.org>

Closes #5792 from harishreedharan/eventlog-download and squashes the following commits:

221cc26 [Hari Shreedharan] Update docs with new API information.
a131be6 [Hari Shreedharan] Fix style issues.
5528bd8 [Hari Shreedharan] Merge branch 'master' into eventlog-download
6e8156e [Hari Shreedharan] Simplify tests, use Guava stream copy methods.
d8ddede [Hari Shreedharan] Remove unnecessary case in EventLogDownloadResource.
ffffb53 [Hari Shreedharan] Changed interface to use zip stream. Added more tests.
1100b40 [Hari Shreedharan] Ensure that `Path` does not appear in interfaces, by rafactoring interfaces.
5a5f3e2 [Hari Shreedharan] Fix test ordering issue.
0b66948 [Hari Shreedharan] Minor formatting/import fixes.
4fc518c [Hari Shreedharan] Fix rat failures.
a48b91f [Hari Shreedharan] Refactor to make attemptId optional in the API. Also added tests.
0fc1424 [Hari Shreedharan] File download now works for individual attempts and the entire application.
350d7e8 [Hari Shreedharan] Merge remote-tracking branch 'asf/master' into eventlog-download
fd6ab00 [Hari Shreedharan] Fix style issues
32b7662 [Hari Shreedharan] Use UIRoot directly in ApiRootResource. Also, use `Response` class to set headers.
7b362b2 [Hari Shreedharan] Almost working.
3d18ebc [Hari Shreedharan] [WIP] Try getting the event log download to work.
2015-06-03 13:43:13 -05:00
Hari Shreedharan a70bf06b79 [SPARK-7750] [WEBUI] Rename endpoints from json to api to allow fu…
…rther extension to non-json outputs too.

Author: Hari Shreedharan <hshreedharan@apache.org>

Closes #6273 from harishreedharan/json-to-api and squashes the following commits:

e14b73b [Hari Shreedharan] Rename `getJsonServlet` to `getServletHandler` i
42f8acb [Hari Shreedharan] Import order fixes.
2ef852f [Hari Shreedharan] [SPARK-7750][WebUI] Rename endpoints from `json` to `api` to allow further extension to non-json outputs too.
2015-05-20 21:13:10 -05:00