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[SPARK-21169] [core] Make sure to update application status to RUNNING if executors are accepted and RUNNING after recovery - #18414
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… RUNNING SPARK-21169
…utors are accepted and running after recovery
AmplabJenkins
commented
Jun 25, 2017
Can one of the admins verify this patch? |
| app.state = ApplicationState.RUNNING | ||
| logInfo(s"Application :: ${app.id} status updated to RUNNING state") | ||
| }}) | ||
| apps.foreach(f = appInfo => { |
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It would probably be more clear to write foreach like this. You don't need the extra parentheses.
apps.foreach { appInfo =>
...
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My Bad, IDE auto corrected few things. Please review the latest update
| }}) | ||
| apps.foreach(f = appInfo => { | ||
| val app = idToApp(appInfo.id) | ||
| if (app.executors.size > 0 && |
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It might be more clear to write this condition like this
if (app.executors.nonEmpty && app.executors.forall(_._2.state ==ExecutorState.RUNNING))srini-daruna
commented
Jun 25, 2017
Updated logic as per the comments. Please review and let me know your comments. |
felixcheung
commented
Jun 25, 2017
please fix up the PR title: http://spark.apache.org/contributing.html |
jerryshao
commented
Jun 26, 2017
@srini-daruna I think I already addressed this issue in SPARK-12552, here is the code. Did you test with SPARK-12552 in or not? Also is that fix not enough to address the problem? |
srini-daruna
commented
Jun 26, 2017
@jerryshao Sorry, i have not used the code with SPARK-12552. I used older one and didn't check the fix. Do you think marking every one as RUNNING OK.? Because, applications may wait for resources sometimes. |
jerryshao
commented
Jun 26, 2017
From my understanding, only when Master fully recovered, then |
## What changes were proposed in this pull request? This PR proposes to close stale PRs, mostly the same instances with apache#18017Closesapache#14085 - [SPARK-16408][SQL] SparkSQL Added file get Exception: is a directory … Closesapache#14239 - [SPARK-16593] [CORE] [WIP] Provide a pre-fetch mechanism to accelerate shuffle stage. Closesapache#14567 - [SPARK-16992][PYSPARK] Python Pep8 formatting and import reorganisation Closesapache#14579 - [SPARK-16921][PYSPARK] RDD/DataFrame persist()/cache() should return Python context managers Closesapache#14601 - [SPARK-13979][Core] Killed executor is re spawned without AWS key… Closesapache#14830 - [SPARK-16992][PYSPARK][DOCS] import sort and autopep8 on Pyspark examples Closesapache#14963 - [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in lint-python Closesapache#15227 - [SPARK-17655][SQL]Remove unused variables declarations and definations in a WholeStageCodeGened stage Closesapache#15240 - [SPARK-17556] [CORE] [SQL] Executor side broadcast for broadcast joins Closesapache#15405 - [SPARK-15917][CORE] Added support for number of executors in Standalone [WIP] Closesapache#16099 - [SPARK-18665][SQL] set statement state to "ERROR" after user cancel job Closesapache#16445 - [SPARK-19043][SQL]Make SparkSQLSessionManager more configurable Closesapache#16618 - [SPARK-14409][ML][WIP] Add RankingEvaluator Closesapache#16766 - [SPARK-19426][SQL] Custom coalesce for Dataset Closesapache#16832 - [SPARK-19490][SQL] ignore case sensitivity when filtering hive partition columns Closesapache#17052 - [SPARK-19690][SS] Join a streaming DataFrame with a batch DataFrame which has an aggregation may not work Closesapache#17267 - [SPARK-19926][PYSPARK] Make pyspark exception more user-friendly Closesapache#17371 - [SPARK-19903][PYSPARK][SS] window operator miss the `watermark` metadata of time column Closesapache#17401 - [SPARK-18364][YARN] Expose metrics for YarnShuffleService Closesapache#17519 - [SPARK-15352][Doc] follow-up: add configuration docs for topology-aware block replication Closesapache#17530 - [SPARK-5158] Access kerberized HDFS from Spark standalone Closesapache#17854 - [SPARK-20564][Deploy] Reduce massive executor failures when executor count is large (>2000) Closesapache#17979 - [SPARK-19320][MESOS][WIP]allow specifying a hard limit on number of gpus required in each spark executor when running on mesos Closesapache#18127 - [SPARK-6628][SQL][Branch-2.1] Fix ClassCastException when executing sql statement 'insert into' on hbase table Closesapache#18236 - [SPARK-21015] Check field name is not null and empty in GenericRowWit… Closesapache#18269 - [SPARK-21056][SQL] Use at most one spark job to list files in InMemoryFileIndex Closesapache#18328 - [SPARK-21121][SQL] Support changing storage level via the spark.sql.inMemoryColumnarStorage.level variable Closesapache#18354 - [SPARK-18016][SQL][CATALYST][BRANCH-2.1] Code Generation: Constant Pool Limit - Class Splitting Closesapache#18383 - [SPARK-21167][SS] Set kafka clientId while fetch messages Closesapache#18414 - [SPARK-21169] [core] Make sure to update application status to RUNNING if executors are accepted and RUNNING after recovery Closesapache#18432 - resolve com.esotericsoftware.kryo.KryoException Closesapache#18490 - [SPARK-21269][Core][WIP] Fix FetchFailedException when enable maxReqSizeShuffleToMem and KryoSerializer Closesapache#18585 - SPARK-21359 Closesapache#18609 - Spark SQL merge small files to big files Update InsertIntoHiveTable.scala Added: Closesapache#18308 - [SPARK-21099][Spark Core] INFO Log Message Using Incorrect Executor I… Closesapache#18599 - [SPARK-21372] spark writes one log file even I set the number of spark_rotate_log to 0 Closesapache#18619 - [SPARK-21397][BUILD]Maven shade plugin adding dependency-reduced-pom.xml to … Closesapache#18667 - Fix the simpleString used in error messages Closesapache#18782 - Branch 2.1 Added: Closesapache#17694 - [SPARK-12717][PYSPARK] Resolving race condition with pyspark broadcasts when using multiple threads Added: Closesapache#16456 - [SPARK-18994] clean up the local directories for application in future by annother thread Closesapache#18683 - [SPARK-21474][CORE] Make number of parallel fetches from a reducer configurable Closesapache#18690 - [SPARK-21334][CORE] Add metrics reporting service to External Shuffle Server Added: Closesapache#18827 - Merge pull request 1 from apache/master ## How was this patch tested? N/A Author: hyukjinkwon <gurwls223@gmail.com> Closesapache#18780 from HyukjinKwon/close-prs.
What changes were proposed in this pull request?
In Spark-HA, after active master failure, stand-by mater is choosen and workers,applications will be re-registered with new master.
However, application state is not moving from WAITING state to RUNNING state.
This code change checks applications after recovery and if all executors are RUNNING
(Please fill in changes proposed in this fix)
In the method completeRecovery in org.apache.spark.deploy.master.Master class, where cleanup of the workers and applictions is being done,
i have added code change to move the application to RUNNING state, if application has more than 1 executors and all of them are in RUNNING status.
In some cases, executors will be in LOADING status, but we cannot consider those to change application state to RUNNING, as executors in LOADING status might also happen due to resource unavailability.
How was this patch tested?
To check existing bug.
1) Created a zookeeper cluster
2) I have configured spark with recovery mode zookeeper and updated spark-env.sh with recovery mode settings.
3) Updated spark-defaults in both worker and master with both the masters. spark://:7077,:7077
4) Started spark master1 and spark master 2 and and workers in the order.
5) master1 is ACTIVE and master2 showed as STANDBY.
6) Started a sample streaming application.
7) Killed the spark-master1, and waited for the workers and applications to appear in master2. They appeared and job showed up in WAITING state.
To check implemented fix:
1) I have built spark-core
2) removed spark-core jar in SPARK_HOME/jars folder and replaced with the newly built one.
3) Performed the same steps as above, and checked job status
4) checked spark-master logs to ensure the log message got printed and
(Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)
(If this patch involves UI changes, please attach a screenshot; otherwise, remove this)
Master 1 UI Before Fix


Master 2 UI Before Fix
Master 2 UI (before fix), which became active after Master is killed.
(Application can be seen with WAITING status)
Master 1 UI after fix
Mater 2 UI (after fix), after master is killed and Master became active.

(Application can be see with RUNNING state)
he.org/contributing.html before opening a pull request.