how to properly submit spark jobs on a stand-alone cluster - apache-spark

I just built a spark 2.0 stand-alone single node cluster on Ubuntu 14.
Trying to submit a pyspark job:
~/spark/spark-2.0.0$ bin/spark-submit --driver-memory 1024m --executor-memory 1024m --executor-cores 1 --master spark://ip-10-180-191-14:7077 examples/src/main/python/pi.py
spark gives me this message:
WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
Here is the complete output:
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
16/07/27 17:45:18 INFO SparkContext: Running Spark version 2.0.0
16/07/27 17:45:18 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/07/27 17:45:18 INFO SecurityManager: Changing view acls to: ubuntu
16/07/27 17:45:18 INFO SecurityManager: Changing modify acls to: ubuntu
16/07/27 17:45:18 INFO SecurityManager: Changing view acls groups to:
16/07/27 17:45:18 INFO SecurityManager: Changing modify acls groups to:
16/07/27 17:45:18 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(ubuntu); groups with view permissions: Set(); users with modify permissions: Set(ubuntu); groups with modify permissions: Set()
16/07/27 17:45:19 INFO Utils: Successfully started service 'sparkDriver' on port 36842.
16/07/27 17:45:19 INFO SparkEnv: Registering MapOutputTracker
16/07/27 17:45:19 INFO SparkEnv: Registering BlockManagerMaster
16/07/27 17:45:19 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-e25f3ae9-be1f-4ea3-8f8b-b3ff3ec7e978
16/07/27 17:45:19 INFO MemoryStore: MemoryStore started with capacity 366.3 MB
16/07/27 17:45:19 INFO SparkEnv: Registering OutputCommitCoordinator
16/07/27 17:45:19 INFO log: Logging initialized #1986ms
16/07/27 17:45:19 INFO Server: jetty-9.2.16.v20160414
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#4674e929{/jobs,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#1adab7c7{/jobs/json,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#26296937{/jobs/job,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#7ef4a753{/jobs/job/json,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#1f282405{/stages,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#5083cca8{/stages/json,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#3d8e675e{/stages/stage,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#661b8183{/stages/stage/json,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#384d9949{/stages/pool,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#7665e464{/stages/pool/json,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#381fc961{/storage,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#2325078{/storage/json,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#566116a6{/storage/rdd,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#f7e9eca{/storage/rdd/json,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#496c0a85{/environment,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#59cd2240{/environment/json,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#747dbf9{/executors,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#7c349d15{/executors/json,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#55259834{/executors/threadDump,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#65ca7ff2{/executors/threadDump/json,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#5c6be8a1{/static,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#4ef1a0c{/,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#7df2d69d{/api,null,AVAILABLE}
16/07/27 17:45:19 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#4b71033e{/stages/stage/kill,null,AVAILABLE}
16/07/27 17:45:19 INFO ServerConnector: Started ServerConnector#646986bc{HTTP/1.1}{0.0.0.0:4040}
16/07/27 17:45:19 INFO Server: Started #2150ms
16/07/27 17:45:19 INFO Utils: Successfully started service 'SparkUI' on port 4040.
16/07/27 17:45:19 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://10.180.191.14:4040
16/07/27 17:45:19 INFO Utils: Copying /home/ubuntu/spark/spark-2.0.0/examples/src/main/python/pi.py to /tmp/spark-ee1ceb06-a7c4-4b18-8577-adb02f97f31e/userFiles-565d5e0b-5879-40d3-8077-d9d782156818/pi.py
16/07/27 17:45:19 INFO SparkContext: Added file file:/home/ubuntu/spark/spark-2.0.0/examples/src/main/python/pi.py at spark://10.180.191.14:36842/files/pi.py with timestamp 1469641519759
16/07/27 17:45:19 INFO StandaloneAppClient$ClientEndpoint: Connecting to master spark://ip-10-180-191-14:7077...
16/07/27 17:45:19 INFO TransportClientFactory: Successfully created connection to ip-10-180-191-14/10.180.191.14:7077 after 25 ms (0 ms spent in bootstraps)
16/07/27 17:45:20 INFO StandaloneSchedulerBackend: Connected to Spark cluster with app ID app-20160727174520-0006
16/07/27 17:45:20 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 39047.
16/07/27 17:45:20 INFO NettyBlockTransferService: Server created on 10.180.191.14:39047
16/07/27 17:45:20 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 10.180.191.14, 39047)
16/07/27 17:45:20 INFO BlockManagerMasterEndpoint: Registering block manager 10.180.191.14:39047 with 366.3 MB RAM, BlockManagerId(driver, 10.180.191.14, 39047)
16/07/27 17:45:20 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 10.180.191.14, 39047)
16/07/27 17:45:20 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#2bc4029c{/metrics/json,null,AVAILABLE}
16/07/27 17:45:20 INFO StandaloneSchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.0
16/07/27 17:45:20 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#60378632{/SQL,null,AVAILABLE}
16/07/27 17:45:20 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#6491578b{/SQL/json,null,AVAILABLE}
16/07/27 17:45:20 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#9ae3f78{/SQL/execution,null,AVAILABLE}
16/07/27 17:45:20 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#3c80379{/SQL/execution/json,null,AVAILABLE}
16/07/27 17:45:20 INFO ContextHandler: Started o.e.j.s.ServletContextHandler#245146b3{/static/sql,null,AVAILABLE}
16/07/27 17:45:20 INFO SharedState: Warehouse path is 'file:/home/ubuntu/spark/spark-2.0.0/spark-warehouse'.
16/07/27 17:45:20 INFO SparkContext: Starting job: reduce at /home/ubuntu/spark/spark-2.0.0/examples/src/main/python/pi.py:43
16/07/27 17:45:20 INFO DAGScheduler: Got job 0 (reduce at /home/ubuntu/spark/spark-2.0.0/examples/src/main/python/pi.py:43) with 2 output partitions
16/07/27 17:45:20 INFO DAGScheduler: Final stage: ResultStage 0 (reduce at /home/ubuntu/spark/spark-2.0.0/examples/src/main/python/pi.py:43)
16/07/27 17:45:20 INFO DAGScheduler: Parents of final stage: List()
16/07/27 17:45:20 INFO DAGScheduler: Missing parents: List()
16/07/27 17:45:20 INFO DAGScheduler: Submitting ResultStage 0 (PythonRDD[1] at reduce at /home/ubuntu/spark/spark-2.0.0/examples/src/main/python/pi.py:43), which has no missing parents
16/07/27 17:45:20 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 4.6 KB, free 366.3 MB)
16/07/27 17:45:21 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 3.0 KB, free 366.3 MB)
16/07/27 17:45:21 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on 10.180.191.14:39047 (size: 3.0 KB, free: 366.3 MB)
16/07/27 17:45:21 INFO SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:1012
16/07/27 17:45:21 INFO DAGScheduler: Submitting 2 missing tasks from ResultStage 0 (PythonRDD[1] at reduce at /home/ubuntu/spark/spark-2.0.0/examples/src/main/python/pi.py:43)
16/07/27 17:45:21 INFO TaskSchedulerImpl: Adding task set 0.0 with 2 tasks
16/07/27 17:45:36 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
16/07/27 17:45:51 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
I'm not running spark on top of hadoop or yarn, just by itself, stand-alone.
What can I do to make spark process these jobs?


Try setting master to local like this, in order to use local mode:
~/spark/spark-2.0.0$ bin/spark-submit --driver-memory 1024m --executor-memory 1024m --executor-cores 1 --master local[2] examples/src/main/python/pi.py
You may also need to use the
--py-files
option as well. Spark submit options


Setting master to local as suggested above will only make your program run in local mode - which is good for beginners/small loads for a single computer - but it will not be configured to run on a cluster.
What you need to do in order to run your program in a real cluster (and possibly on multiple machines) is setting a master and slaves using the scripts located in:
<spark-install-dir>/start-master.sh
Your slaves (you must have at least one) should be started using:
<spark-install-dir> start-slave.sh spark://<master-address>:7077
This way you will be able to run in a real cluster mode - the UI will show you your workers and jobs etc.
you will see the main UI in port 8080 on the master machine.
Port 4040 on the machine that run the driver will show you the application UI.
Port 8081 will show you the workers UI (if u use many slaves on the same machine the ports will be 8081 for the first, 8082 for the second etc.)
You can run as many slaves as you want from as many machines - and supply the amount of cores for each slave (it is possible to provide few slaves from the same machine - just give them the appropriate number of cores/ram - so that you will not confuse the scheduler).

Related

EMR Serverless Spark Executors Timeout

I have an EMR Serverless application that is getting stuck in executions timeouts for some reason. I have tested all s3 connections and it's working. The problem is happening during the execution of a query in spark tables.
The EMR version is: emr-6.7.0
The same job was abble to run on spark 3.1.1 version in k8s, maybe it's something related to version.
My spark session setup:
spark = (SparkSession.builder
.config("spark.hadoop.fs.s3a.fast.upload", True)
.config("spark.hadoop.fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem")
.config("spark.sql.legacy.parquet.datetimeRebaseModeInWrite", "CORRECTED")
.config("spark.sql.autoBroadcastJoinThreshold", -1)
.config("spark.sql.shuffle.partitions", "1000")
.config("spark.sql.adaptive.enabled", "true")
.config("spark.sql.adaptive.coalescePartitions.enabled", "true")
.config("spark.sql.adaptive.advisoryPartitionSizeInBytes", "268435456")
.config("spark.jars.packages", "org.apache.hadoop:hadoop-aws:3.2.0")
.config("spark.jars.packages", "mysql:mysql-connector-java:8.0.17")
.enableHiveSupport().getOrCreate()
)
Driver log:
Ivy Default Cache set to: /home/hadoop/.ivy2/cache
The jars for the packages stored in: /home/hadoop/.ivy2/jars
org.apache.hadoop#hadoop-aws added as a dependency
:: resolving dependencies :: org.apache.spark#spark-submit-parent-b943cb44-441b-41b2-8ea1-c44496d2e550;1.0
confs: [default]
found org.apache.hadoop#hadoop-aws;3.2.0 in central
found com.amazonaws#aws-java-sdk-bundle;1.11.375 in central
downloading https://repo1.maven.org/maven2/org/apache/hadoop/hadoop-aws/3.2.0/hadoop-aws-3.2.0.jar ...
[SUCCESSFUL ] org.apache.hadoop#hadoop-aws;3.2.0!hadoop-aws.jar (20ms)
downloading https://repo1.maven.org/maven2/com/amazonaws/aws-java-sdk-bundle/1.11.375/aws-java-sdk-bundle-1.11.375.jar ...
[SUCCESSFUL ] com.amazonaws#aws-java-sdk-bundle;1.11.375!aws-java-sdk-bundle.jar (960ms)
:: resolution report :: resolve 823ms :: artifacts dl 984ms
:: modules in use:
com.amazonaws#aws-java-sdk-bundle;1.11.375 from central in [default]
org.apache.hadoop#hadoop-aws;3.2.0 from central in [default]
---------------------------------------------------------------------
| | modules || artifacts |
| conf | number| search|dwnlded|evicted|| number|dwnlded|
---------------------------------------------------------------------
| default | 2 | 2 | 2 | 0 || 2 | 2 |
---------------------------------------------------------------------
:: retrieving :: org.apache.spark#spark-submit-parent-b943cb44-441b-41b2-8ea1-c44496d2e550
confs: [default]
2 artifacts copied, 0 already retrieved (96887kB/80ms)
22/09/28 12:28:25 INFO SparkContext: Running Spark version 3.2.1-amzn-0
22/09/28 12:28:25 INFO ResourceUtils: ==============================================================
22/09/28 12:28:25 INFO ResourceUtils: No custom resources configured for spark.driver.
22/09/28 12:28:25 INFO ResourceUtils: ==============================================================
22/09/28 12:28:25 INFO SparkContext: Submitted application: spark_segmentacao_caminhoneiros.py
22/09/28 12:28:25 INFO ResourceProfile: Default ResourceProfile created, executor resources: Map(cores -> name: cores, amount: 4, script: , vendor: , memory -> name: memory, amount: 14336, script: , vendor: , offHeap -> name: offHeap, amount: 0, script: , vendor: ), task resources: Map(cpus -> name: cpus, amount: 1.0)
22/09/28 12:28:25 INFO ResourceProfile: Limiting resource is cpus at 4 tasks per executor
22/09/28 12:28:25 INFO ResourceProfileManager: Added ResourceProfile id: 0
22/09/28 12:28:25 INFO SecurityManager: Changing view acls to: hadoop
22/09/28 12:28:25 INFO SecurityManager: Changing modify acls to: hadoop
22/09/28 12:28:25 INFO SecurityManager: Changing view acls groups to:
22/09/28 12:28:25 INFO SecurityManager: Changing modify acls groups to:
22/09/28 12:28:25 INFO SecurityManager: SecurityManager: authentication enabled; ui acls disabled; users with view permissions: Set(hadoop); groups with view permissions: Set(); users with modify permissions: Set(hadoop); groups with modify permissions: Set()
22/09/28 12:28:26 INFO Utils: Successfully started service 'sparkDriver' on port 33303.
22/09/28 12:28:26 INFO SparkEnv: Registering MapOutputTracker
22/09/28 12:28:26 INFO SparkEnv: Registering BlockManagerMaster
22/09/28 12:28:26 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information
22/09/28 12:28:26 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up
22/09/28 12:28:26 INFO SparkEnv: Registering BlockManagerMasterHeartbeat
22/09/28 12:28:26 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-22f8e599-8bdc-4d65-a5c1-f9ab0bf5f01c
22/09/28 12:28:26 INFO MemoryStore: MemoryStore started with capacity 7.3 GiB
22/09/28 12:28:26 INFO SparkEnv: Registering OutputCommitCoordinator
22/09/28 12:28:26 INFO SubResultCacheManager: Sub-result caches are disabled.
22/09/28 12:28:26 INFO log: Logging initialized #8694ms to org.sparkproject.jetty.util.log.Slf4jLog
22/09/28 12:28:26 INFO Server: jetty-9.4.43.v20210629; built: 2021-06-30T11:07:22.254Z; git: 526006ecfa3af7f1a27ef3a288e2bef7ea9dd7e8; jvm 1.8.0_342-b07
22/09/28 12:28:26 INFO Server: Started #8797ms
22/09/28 12:28:26 INFO AbstractConnector: Started ServerConnector#2f0a0570{HTTP/1.1, (http/1.1)}{0.0.0.0:4040}
22/09/28 12:28:26 INFO Utils: Successfully started service 'SparkUI' on port 4040.
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#1afe3ab7{/jobs,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#4318eaf1{/jobs/json,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#31a7233b{/jobs/job,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#2db507b1{/jobs/job/json,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#69ab6402{/stages,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#34f8396d{/stages/json,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#e3b0050{/stages/stage,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#1e50a487{/stages/stage/json,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#58d7e2db{/stages/pool,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#73151501{/stages/pool/json,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#1a9ef059{/storage,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#7e3d6570{/storage/json,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#2e69b2c6{/storage/rdd,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#40447208{/storage/rdd/json,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#2431cfcb{/environment,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#2e719959{/environment/json,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#2ec050df{/executors,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#72d76b63{/executors/json,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#7670552a{/executors/threadDump,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#1b0420c5{/executors/threadDump/json,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#60bcb746{/static,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#6aea04c3{/,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#476f8bfa{/api,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#652b8b55{/jobs/job/kill,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#4d0d77ae{/stages/stage/kill,null,AVAILABLE,#Spark}
22/09/28 12:28:26 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:4040
22/09/28 12:28:26 INFO SparkContext: Added JAR file:/tmp/spark-bc069368-d1ab-4d24-a4e3-f7a8634a3d52/uber-jars-1.0-SNAPSHOT.jar at spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/jars/uber-jars-1.0-SNAPSHOT.jar with timestamp 1664368105728
22/09/28 12:28:26 INFO SparkContext: Added JAR file:///home/hadoop/.ivy2/jars/org.apache.hadoop_hadoop-aws-3.2.0.jar at spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/jars/org.apache.hadoop_hadoop-aws-3.2.0.jar with timestamp 1664368105728
22/09/28 12:28:26 INFO SparkContext: Added JAR file:///home/hadoop/.ivy2/jars/com.amazonaws_aws-java-sdk-bundle-1.11.375.jar at spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/jars/com.amazonaws_aws-java-sdk-bundle-1.11.375.jar with timestamp 1664368105728
22/09/28 12:28:26 INFO SparkContext: Added file file:/tmp/spark-bc069368-d1ab-4d24-a4e3-f7a8634a3d52/varname.zip at spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/files/varname.zip with timestamp 1664368105728
22/09/28 12:28:26 INFO Utils: Copying /tmp/spark-bc069368-d1ab-4d24-a4e3-f7a8634a3d52/varname.zip to /tmp/spark-8a3a402d-55f0-4a4f-a4d1-ce318ac97655/userFiles-5a356bf3-38d4-424a-a72e-036ab107a80c/varname.zip
22/09/28 12:28:26 INFO SparkContext: Added file file:///home/hadoop/.ivy2/jars/org.apache.hadoop_hadoop-aws-3.2.0.jar at spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/files/org.apache.hadoop_hadoop-aws-3.2.0.jar with timestamp 1664368105728
22/09/28 12:28:26 INFO Utils: Copying /home/hadoop/.ivy2/jars/org.apache.hadoop_hadoop-aws-3.2.0.jar to /tmp/spark-8a3a402d-55f0-4a4f-a4d1-ce318ac97655/userFiles-5a356bf3-38d4-424a-a72e-036ab107a80c/org.apache.hadoop_hadoop-aws-3.2.0.jar
22/09/28 12:28:26 INFO SparkContext: Added file file:///home/hadoop/.ivy2/jars/com.amazonaws_aws-java-sdk-bundle-1.11.375.jar at spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/files/com.amazonaws_aws-java-sdk-bundle-1.11.375.jar with timestamp 1664368105728
22/09/28 12:28:26 INFO Utils: Copying /home/hadoop/.ivy2/jars/com.amazonaws_aws-java-sdk-bundle-1.11.375.jar to /tmp/spark-8a3a402d-55f0-4a4f-a4d1-ce318ac97655/userFiles-5a356bf3-38d4-424a-a72e-036ab107a80c/com.amazonaws_aws-java-sdk-bundle-1.11.375.jar
22/09/28 12:28:27 INFO Utils: Using initial executors = 3, max of spark.dynamicAllocation.initialExecutors, spark.dynamicAllocation.minExecutors and spark.executor.instances
22/09/28 12:28:27 INFO ExecutorContainerAllocator: Set total expected execs to {0=3}
22/09/28 12:28:27 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 34635.
22/09/28 12:28:27 INFO NettyBlockTransferService: Server created on [2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:34635
22/09/28 12:28:27 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy
22/09/28 12:28:27 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, [2600:1f18:1837:bf02:a556:ccd:86d7:a6c9], 34635, None)
22/09/28 12:28:27 INFO BlockManagerMasterEndpoint: Registering block manager [2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:34635 with 7.3 GiB RAM, BlockManagerId(driver, [2600:1f18:1837:bf02:a556:ccd:86d7:a6c9], 34635, None)
22/09/28 12:28:27 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, [2600:1f18:1837:bf02:a556:ccd:86d7:a6c9], 34635, None)
22/09/28 12:28:27 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, [2600:1f18:1837:bf02:a556:ccd:86d7:a6c9], 34635, None)
22/09/28 12:28:27 INFO ExecutorContainerAllocator: Going to request 3 executors for ResourceProfile Id: 0, target: 3 already provisioned: 0.
22/09/28 12:28:27 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#74d28ce8{/metrics/json,null,AVAILABLE,#Spark}
22/09/28 12:28:27 INFO DefaultEmrServerlessRMClient: Creating containers with container role SPARK_EXECUTOR and keys: Set(1, 2, 3)
22/09/28 12:28:27 INFO SingleEventLogFileWriter: Logging events to file:/var/log/spark/apps/00f4ck9kasg9e001.inprogress
22/09/28 12:28:27 INFO Utils: Using initial executors = 3, max of spark.dynamicAllocation.initialExecutors, spark.dynamicAllocation.minExecutors and spark.executor.instances
22/09/28 12:28:27 WARN ExecutorAllocationManager: Dynamic allocation without a shuffle service is an experimental feature.
22/09/28 12:28:27 INFO ExecutorContainerAllocator: Set total expected execs to {0=3}
22/09/28 12:28:27 INFO DefaultEmrServerlessRMClient: Containers created with container role SPARK_EXECUTOR. key to container id map: Map(2 -> b6c1c208-d6ae-f116-456c-a70e62753a3e, 1 -> eec1c208-d6a4-a06f-416f-d3542eb67229, 3 -> 20c1c208-d6b9-a01b-3d7d-4e5d1ab9d5ee)
22/09/28 12:28:32 INFO EmrServerlessClusterSchedulerBackend$EmrServerlessDriverEndpoint: Registered executor NettyRpcEndpointRef(spark-client://Executor) (2600:1f18:1837:bf02:751c:4b79:c015:1299:36790) with ID 2, ResourceProfileId 0
22/09/28 12:28:32 INFO ExecutorMonitor: New executor 2 has registered (new total is 1)
22/09/28 12:28:32 INFO EmrServerlessClusterSchedulerBackend$EmrServerlessDriverEndpoint: Registered executor NettyRpcEndpointRef(spark-client://Executor) (2600:1f18:1837:bf02:5500:4064:5306:1a1b:54690) with ID 3, ResourceProfileId 0
22/09/28 12:28:32 INFO ExecutorMonitor: New executor 3 has registered (new total is 2)
22/09/28 12:28:33 INFO BlockManagerMasterEndpoint: Registering block manager [2600:1f18:1837:bf02:751c:4b79:c015:1299]:37079 with 7.9 GiB RAM, BlockManagerId(2, [2600:1f18:1837:bf02:751c:4b79:c015:1299], 37079, None)
22/09/28 12:28:33 INFO BlockManagerMasterEndpoint: Registering block manager [2600:1f18:1837:bf02:5500:4064:5306:1a1b]:40287 with 7.9 GiB RAM, BlockManagerId(3, [2600:1f18:1837:bf02:5500:4064:5306:1a1b], 40287, None)
22/09/28 12:28:57 INFO EmrServerlessClusterSchedulerBackend: SchedulerBackend is ready for scheduling beginning after waiting maxRegisteredResourcesWaitingTime: 30000000000(ns)
22/09/28 12:28:57 INFO SharedState: Setting hive.metastore.warehouse.dir ('null') to the value of spark.sql.warehouse.dir.
22/09/28 12:28:57 INFO SharedState: Warehouse path is 'file:/home/hadoop/spark-warehouse'.
22/09/28 12:28:57 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#7ab37b5f{/SQL,null,AVAILABLE,#Spark}
22/09/28 12:28:57 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#3223cfe1{/SQL/json,null,AVAILABLE,#Spark}
22/09/28 12:28:57 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#76ac5ba2{/SQL/execution,null,AVAILABLE,#Spark}
22/09/28 12:28:57 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#105afb2a{/SQL/execution/json,null,AVAILABLE,#Spark}
22/09/28 12:28:57 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#7877cc29{/static/sql,null,AVAILABLE,#Spark}
22/09/28 12:28:57 WARN SQLConf: The SQL config 'spark.sql.legacy.parquet.datetimeRebaseModeInWrite' has been deprecated in Spark v3.2 and may be removed in the future. Use 'spark.sql.parquet.datetimeRebaseModeInWrite' instead.
22/09/28 12:28:57 WARN SQLConf: The SQL config 'spark.sql.legacy.parquet.datetimeRebaseModeInWrite' has been deprecated in Spark v3.2 and may be removed in the future. Use 'spark.sql.parquet.datetimeRebaseModeInWrite' instead.
22/09/28 12:28:58 WARN SQLConf: The SQL config 'spark.sql.legacy.parquet.datetimeRebaseModeInWrite' has been deprecated in Spark v3.2 and may be removed in the future. Use 'spark.sql.parquet.datetimeRebaseModeInWrite' instead.
22/09/28 12:28:58 WARN MetricsConfig: Cannot locate configuration: tried hadoop-metrics2-s3a-file-system.properties,hadoop-metrics2.properties
22/09/28 12:29:08 WARN package: Truncated the string representation of a plan since it was too large. This behavior can be adjusted by setting 'spark.sql.debug.maxToStringFields'.
22/09/28 12:29:11 WARN SQLConf: The SQL config 'spark.sql.legacy.parquet.datetimeRebaseModeInWrite' has been deprecated in Spark v3.2 and may be removed in the future. Use 'spark.sql.parquet.datetimeRebaseModeInWrite' instead.
22/09/28 12:29:12 WARN HiveConf: HiveConf of name hive.stats.jdbc.timeout does not exist
22/09/28 12:29:12 WARN HiveConf: HiveConf of name hive.stats.retries.wait does not exist
22/09/28 12:29:16 WARN ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 2.3.0
22/09/28 12:29:16 WARN ObjectStore: setMetaStoreSchemaVersion called but recording version is disabled: version = 2.3.0, comment = Set by MetaStore UNKNOWN#10.95.30.61
22/09/28 12:29:16 WARN ObjectStore: Failed to get database default, returning NoSuchObjectException
22/09/28 12:29:17 WARN ObjectStore: Failed to get database global_temp, returning NoSuchObjectException
Loading class `com.mysql.jdbc.Driver'. This is deprecated. The new driver class is `com.mysql.cj.jdbc.Driver'. The driver is automatically registered via the SPI and manual loading of the driver class is generally unnecessary.
22/09/28 12:36:26 WARN HeartbeatReceiver: Removing executor 26 with no recent heartbeats: 176265 ms exceeds timeout 120000 ms
22/09/28 12:39:26 WARN HeartbeatReceiver: Removing executor 3 with no recent heartbeats: 161128 ms exceeds timeout 120000 ms
22/09/28 12:39:26 ERROR TaskSchedulerImpl: Lost executor 3 on [2600:1f18:1837:bf02:5500:4064:5306:1a1b]: Executor heartbeat timed out after 161128 ms
22/09/28 12:39:26 WARN TaskSetManager: Lost task 0.0 in stage 26.0 (TID 1321) ([2600:1f18:1837:bf02:5500:4064:5306:1a1b] executor 3): ExecutorLostFailure (executor 3 exited caused by one of the running tasks) Reason: Executor heartbeat timed out after 161128 ms
Executor 26 logs:
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/lib/spark/jars/slf4j-log4j12-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/lib/hadoop/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
22/09/28 12:32:25 INFO CoarseGrainedExecutorBackend: Started daemon with process name: 30#ip-10-95-26-159.ec2.internal
22/09/28 12:32:25 INFO SignalUtils: Registering signal handler for TERM
22/09/28 12:32:25 INFO SignalUtils: Registering signal handler for HUP
22/09/28 12:32:25 INFO SignalUtils: Registering signal handler for INT
22/09/28 12:32:25 INFO SecurityManager: Changing view acls to: hadoop
22/09/28 12:32:25 INFO SecurityManager: Changing modify acls to: hadoop
22/09/28 12:32:25 INFO SecurityManager: Changing view acls groups to:
22/09/28 12:32:25 INFO SecurityManager: Changing modify acls groups to:
22/09/28 12:32:25 INFO SecurityManager: SecurityManager: authentication enabled; ui acls disabled; users with view permissions: Set(hadoop); groups with view permissions: Set(); users with modify permissions: Set(hadoop); groups with modify permissions: Set()
22/09/28 12:32:26 INFO TransportClientFactory: Successfully created connection to /2600:1f18:1837:bf02:a556:ccd:86d7:a6c9:33303 after 134 ms (55 ms spent in bootstraps)
22/09/28 12:32:26 INFO SecurityManager: Changing view acls to: hadoop
22/09/28 12:32:26 INFO SecurityManager: Changing modify acls to: hadoop
22/09/28 12:32:26 INFO SecurityManager: Changing view acls groups to:
22/09/28 12:32:26 INFO SecurityManager: Changing modify acls groups to:
22/09/28 12:32:26 INFO SecurityManager: SecurityManager: authentication enabled; ui acls disabled; users with view permissions: Set(hadoop); groups with view permissions: Set(); users with modify permissions: Set(hadoop); groups with modify permissions: Set()
22/09/28 12:32:26 INFO TransportClientFactory: Successfully created connection to /2600:1f18:1837:bf02:a556:ccd:86d7:a6c9:33303 after 5 ms (3 ms spent in bootstraps)
22/09/28 12:32:26 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-37e26761-99b2-4b65-94b7-4df6bf9905ea
22/09/28 12:32:26 INFO MemoryStore: MemoryStore started with capacity 7.9 GiB
22/09/28 12:32:26 INFO SubResultCacheManager: Sub-result caches are disabled.
22/09/28 12:32:26 INFO CoarseGrainedExecutorBackend: Connecting to driver: spark://CoarseGrainedScheduler#[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303
22/09/28 12:32:26 INFO ResourceUtils: ==============================================================
22/09/28 12:32:26 INFO ResourceUtils: No custom resources configured for spark.executor.
22/09/28 12:32:26 INFO ResourceUtils: ==============================================================
22/09/28 12:32:26 INFO CoarseGrainedExecutorBackend: Successfully registered with driver
22/09/28 12:32:26 INFO Executor: Starting executor ID 26 on host [2600:1f18:1837:bf02:4600:e58e:ddf0:59df]
22/09/28 12:32:26 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 43365.
22/09/28 12:32:26 INFO NettyBlockTransferService: Server created on [2600:1f18:1837:bf02:4600:e58e:ddf0:59df]:43365
22/09/28 12:32:26 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy
22/09/28 12:32:26 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(26, [2600:1f18:1837:bf02:4600:e58e:ddf0:59df], 43365, None)
22/09/28 12:32:26 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(26, [2600:1f18:1837:bf02:4600:e58e:ddf0:59df], 43365, None)
22/09/28 12:32:26 INFO BlockManager: Initialized BlockManager: BlockManagerId(26, [2600:1f18:1837:bf02:4600:e58e:ddf0:59df], 43365, None)
22/09/28 12:32:26 INFO Executor: Fetching spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/files/com.amazonaws_aws-java-sdk-bundle-1.11.375.jar with timestamp 1664368105728
22/09/28 12:32:26 INFO TransportClientFactory: Successfully created connection to /2600:1f18:1837:bf02:a556:ccd:86d7:a6c9:33303 after 5 ms (3 ms spent in bootstraps)
22/09/28 12:32:26 INFO Utils: Fetching spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/files/com.amazonaws_aws-java-sdk-bundle-1.11.375.jar to /tmp/spark-91625202-5612-49eb-b355-3f637abe1934/fetchFileTemp1966826708488121221.tmp
22/09/28 12:32:27 INFO PlatformInfo: Unable to read clusterId from http://localhost:8321/configuration, trying extra instance data file: /var/lib/instance-controller/extraInstanceData.json
22/09/28 12:32:27 INFO PlatformInfo: Unable to read clusterId from /var/lib/instance-controller/extraInstanceData.json, trying EMR job-flow data file: /var/lib/info/job-flow.json
22/09/28 12:32:27 INFO PlatformInfo: Unable to read clusterId from /var/lib/info/job-flow.json, out of places to look
22/09/28 12:32:27 INFO DefaultAWSCredentialsProviderFactory: Unable to create provider using constructor: DefaultAWSCredentialsProviderChain(java.net.URI, org.apache.hadoop.conf.Configuration)
22/09/28 12:32:27 INFO ClientConfigurationFactory: Set initial getObject socket timeout to 2000 ms.
22/09/28 12:32:27 INFO CoarseGrainedExecutorBackend: eagerFSInit: Eagerly initialized FileSystem at s3://does/not/exist in 1165 ms
22/09/28 12:32:29 INFO Utils: Copying /tmp/spark-91625202-5612-49eb-b355-3f637abe1934/-1178519531664368105728_cache to /home/hadoop/./com.amazonaws_aws-java-sdk-bundle-1.11.375.jar
22/09/28 12:32:29 INFO Executor: Fetching spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/files/varname.zip with timestamp 1664368105728
22/09/28 12:32:29 INFO Utils: Fetching spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/files/varname.zip to /tmp/spark-91625202-5612-49eb-b355-3f637abe1934/fetchFileTemp6614333905641289896.tmp
22/09/28 12:32:29 INFO Utils: Copying /tmp/spark-91625202-5612-49eb-b355-3f637abe1934/-9167713411664368105728_cache to /home/hadoop/./varname.zip
22/09/28 12:32:29 INFO Executor: Fetching spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/files/org.apache.hadoop_hadoop-aws-3.2.0.jar with timestamp 1664368105728
22/09/28 12:32:29 INFO Utils: Fetching spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/files/org.apache.hadoop_hadoop-aws-3.2.0.jar to /tmp/spark-91625202-5612-49eb-b355-3f637abe1934/fetchFileTemp4499682470385493011.tmp
22/09/28 12:32:29 INFO Utils: Copying /tmp/spark-91625202-5612-49eb-b355-3f637abe1934/8736416361664368105728_cache to /home/hadoop/./org.apache.hadoop_hadoop-aws-3.2.0.jar
22/09/28 12:32:29 INFO Executor: Fetching spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/jars/uber-jars-1.0-SNAPSHOT.jar with timestamp 1664368105728
22/09/28 12:32:29 INFO Utils: Fetching spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/jars/uber-jars-1.0-SNAPSHOT.jar to /tmp/spark-91625202-5612-49eb-b355-3f637abe1934/fetchFileTemp8998725698456889956.tmp
22/09/28 12:32:32 INFO Utils: Copying /tmp/spark-91625202-5612-49eb-b355-3f637abe1934/-13557803421664368105728_cache to /home/hadoop/./uber-jars-1.0-SNAPSHOT.jar
22/09/28 12:32:32 INFO Executor: Adding file:/home/hadoop/./uber-jars-1.0-SNAPSHOT.jar to class loader
22/09/28 12:32:32 INFO Executor: Fetching spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/jars/com.amazonaws_aws-java-sdk-bundle-1.11.375.jar with timestamp 1664368105728
22/09/28 12:32:32 INFO Utils: Fetching spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/jars/com.amazonaws_aws-java-sdk-bundle-1.11.375.jar to /tmp/spark-91625202-5612-49eb-b355-3f637abe1934/fetchFileTemp2300668029112739372.tmp
22/09/28 12:32:35 INFO Utils: /tmp/spark-91625202-5612-49eb-b355-3f637abe1934/-1974999101664368105728_cache has been previously copied to /home/hadoop/./com.amazonaws_aws-java-sdk-bundle-1.11.375.jar
22/09/28 12:32:35 INFO Executor: Adding file:/home/hadoop/./com.amazonaws_aws-java-sdk-bundle-1.11.375.jar to class loader
22/09/28 12:32:35 INFO Executor: Fetching spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/jars/org.apache.hadoop_hadoop-aws-3.2.0.jar with timestamp 1664368105728
22/09/28 12:32:35 INFO Utils: Fetching spark://[2600:1f18:1837:bf02:a556:ccd:86d7:a6c9]:33303/jars/org.apache.hadoop_hadoop-aws-3.2.0.jar to /tmp/spark-91625202-5612-49eb-b355-3f637abe1934/fetchFileTemp8882461784948851806.tmp
22/09/28 12:32:35 INFO Utils: /tmp/spark-91625202-5612-49eb-b355-3f637abe1934/14299127831664368105728_cache has been previously copied to /home/hadoop/./org.apache.hadoop_hadoop-aws-3.2.0.jar
22/09/28 12:32:35 INFO Executor: Adding file:/home/hadoop/./org.apache.hadoop_hadoop-aws-3.2.0.jar to class loader
22/09/28 12:33:37 ERROR CoarseGrainedExecutorBackend: RECEIVED SIGNAL TERM
22/09/28 12:33:37 INFO MemoryStore: MemoryStore cleared
22/09/28 12:33:37 INFO BlockManager: BlockManager stopped
22/09/28 12:33:37 INFO ShutdownHookManager: Shutdown hook called
22/09/28 12:33:37 INFO ShutdownHookManager: Deleting directory /tmp/spark-91625202-5612-49eb-b355-3f637abe1934

Based on your log provided, you didn't config your executor memory when you create EMR application?
ERROR CoarseGrainedExecutorBackend: RECEIVED SIGNAL TERM this error only indicates that your executor was killed but didn't mention about the reason behind. As your log shows that your executor was killed during the data fetching but not at the beginning of your data fetching or executor initialization, I suspect your executor was killed due to out of memory (OOM). Try to increase your executor memory when you create your EMR application. On the other hand, you can check if there is any data skew in your job since it might trigger OOM too.

Spark Standalone on Kubernetes - application got finished after consecutive master then driver failure

Trying to achieve High Availability of SparkMaster using ZooKeeper with SparkDriver resiliency using metaData checkpoint into GlusterFS.
Some Informations :
Using Spark 2.2.0 (prebuilt binary)
Submitting a streaming app with --deploy-mode cluster and --supervise from a separate spark client pod
Spark Components on Kubernetes are of type Statefulset for Dynamic Volume Provisioning (Previously using Replication Controller/ Deployment)
Created 3 GlusterFS shared pvc - spark-master-pvc,spark-worker-pvc,spark-ckp-pvc
Successfully achieved the Scenarios like - Only Master Failure, Only Driver Failure, Consecutive Master and Driver Failure, Driver Failure then Master. But the Scenario like Submitted a Job -> Master Failure (Working fine) -> Driver Failure i.e. Worker Pod failure is not working.
NEW ALIVE MASTER's log -
18/06/11 10:23:16 INFO ZooKeeperLeaderElectionAgent: We have gained leadership
18/06/11 10:23:16 INFO Master: I have been elected leader! New state: RECOVERING
18/06/11 10:23:16 INFO Master: Trying to recover app: app-20180611102123-0001
18/06/11 10:23:16 INFO Master: Trying to recover worker: worker-20180611101834-10.1.53.142-36203
18/06/11 10:23:16 INFO Master: Trying to recover worker: worker-20180611102123-10.1.170.85-39447
18/06/11 10:23:16 INFO Master: Trying to recover worker: worker-20180611101834-10.1.185.87-38235
18/06/11 10:23:16 INFO TransportClientFactory: Successfully created connection to /10.1.53.142:36203 after 7 ms (0 ms spent in bootstraps)
18/06/11 10:23:16 INFO TransportClientFactory: Successfully created connection to /10.1.185.87:38235 after 3 ms (0 ms spent in bootstraps)
18/06/11 10:23:16 INFO TransportClientFactory: Successfully created connection to /10.1.53.142:38994 after 12 ms (0 ms spent in bootstraps)
18/06/11 10:23:16 INFO TransportClientFactory: Successfully created connection to /10.1.170.85:39447 after 7 ms (0 ms spent in bootstraps)
18/06/11 10:23:16 INFO Master: Application has been re-registered: app-20180611102123-0001
18/06/11 10:23:16 INFO Master: Worker has been re-registered: worker-20180611102123-10.1.170.85-39447
18/06/11 10:23:16 INFO Master: Worker has been re-registered: worker-20180611101834-10.1.53.142-36203
18/06/11 10:23:16 INFO Master: Worker has been re-registered: worker-20180611101834-10.1.185.87-38235
18/06/11 10:23:16 INFO Master: Recovery complete - resuming operations!
18/06/11 10:24:37 INFO Master: Received unregister request from application app-20180611102123-0001
18/06/11 10:24:37 INFO Master: Removing app app-20180611102123-0001
18/06/11 10:24:37 INFO Master: 10.1.53.142:38994 got disassociated, removing it.
18/06/11 10:24:37 INFO Master: 10.1.53.142:38994 got disassociated, removing it.
18/06/11 10:24:37 WARN Master: Got status update for unknown executor app-20180611102123-0001/0
18/06/11 10:24:37 WARN Master: Got status update for unknown executor app-20180611102123-0001/1
18/06/11 10:24:38 INFO Master: 10.1.53.142:36203 got disassociated, removing it.
18/06/11 10:24:38 INFO Master: Removing worker worker-20180611101834-10.1.53.142-36203 on 10.1.53.142:36203
18/06/11 10:24:38 INFO Master: Re-launching driver-20180611102017-0000
18/06/11 10:24:38 INFO Master: Launching driver driver-20180611102017-0000 on worker worker-20180611101834-10.1.185.87-38235
18/06/11 10:24:38 INFO Master: 10.1.53.142:59142 got disassociated, removing it.
18/06/11 10:24:38 INFO Master: 10.1.53.142:36203 got disassociated, removing it.
18/06/11 10:24:38 INFO Master: 10.1.53.142:36203 got disassociated, removing it.
18/06/11 10:24:43 INFO Master: Registering worker 10.1.53.143:35156 with 8 cores, 30.3 GB RAM
DRIVER is remained in Halted State. Driver Error Log -
log4j:WARN No appenders could be found for logger (org.apache.hadoop.metrics2.lib.MutableMetricsFactory).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
18/06/11 19:32:14 INFO SecurityManager: Changing view acls to: root
18/06/11 19:32:14 INFO SecurityManager: Changing modify acls to: root
18/06/11 19:32:14 INFO SecurityManager: Changing view acls groups to:
18/06/11 19:32:14 INFO SecurityManager: Changing modify acls groups to:
18/06/11 19:32:14 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); groups with view permissions: Set(); users with modify permissions: Set(root); groups with modify permissions: Set()
18/06/11 19:32:15 INFO Utils: Successfully started service 'Driver' on port 40594.
18/06/11 19:32:15 INFO WorkerWatcher: Connecting to worker spark://Worker#10.1.185.87:38235
18/06/11 19:32:15 INFO TransportClientFactory: Successfully created connection to /10.1.185.87:38235 after 44 ms (0 ms spent in bootstraps)
18/06/11 19:32:15 INFO WorkerWatcher: Successfully connected to spark://Worker#10.1.185.87:38235
18/06/11 19:32:15 INFO CheckpointReader: Checkpoint files found: file:/ckp/checkpoint-1528712675000,file:/ckp/checkpoint-1528712675000.bk,file:/ckp/checkpoint-1528712670000,file:/ckp/checkpoint-1528712670000.bk,file:/ckp/checkpoint-1528712665000,file:/ckp/checkpoint-1528712665000.bk,file:/ckp/checkpoint-1528712660000,file:/ckp/checkpoint-1528712660000.bk,file:/ckp/checkpoint-1528712655000,file:/ckp/checkpoint-1528712655000.bk
18/06/11 19:32:15 INFO CheckpointReader: Attempting to load checkpoint from file file:/ckp/checkpoint-1528712675000
18/06/11 19:32:15 INFO Checkpoint: Checkpoint for time 1528712675000 ms validated
18/06/11 19:32:15 INFO CheckpointReader: Checkpoint successfully loaded from file file:/ckp/checkpoint-1528712675000
18/06/11 19:32:15 INFO CheckpointReader: Checkpoint was generated at time 1528712675000 ms
18/06/11 19:32:15 INFO SparkContext: Running Spark version 2.2.0
18/06/11 19:32:15 INFO SparkContext: Submitted application: SparkStreamingWithCheckPointAndZK
18/06/11 19:32:15 INFO SecurityManager: Changing view acls to: root
18/06/11 19:32:15 INFO SecurityManager: Changing modify acls to: root
18/06/11 19:32:15 INFO SecurityManager: Changing view acls groups to:
18/06/11 19:32:15 INFO SecurityManager: Changing modify acls groups to:
18/06/11 19:32:15 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); groups with view permissions: Set(); users with modify permissions: Set(root); groups with modify permissions: Set()
18/06/11 19:32:15 INFO Utils: Successfully started service 'sparkDriver' on port 46544.
18/06/11 19:32:15 INFO SparkEnv: Registering MapOutputTracker
18/06/11 19:32:15 INFO SparkEnv: Registering BlockManagerMaster
18/06/11 19:32:15 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information
18/06/11 19:32:15 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up
18/06/11 19:32:16 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-623c4b9e-8045-4a19-a746-96a3b23c1184
18/06/11 19:32:16 INFO MemoryStore: MemoryStore started with capacity 366.3 MB
18/06/11 19:32:16 INFO SparkEnv: Registering OutputCommitCoordinator
18/06/11 19:32:16 INFO Utils: Successfully started service 'SparkUI' on port 4040.
18/06/11 19:32:16 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://10.1.185.87:4040
18/06/11 19:32:16 INFO SparkContext: Added JAR file:///opt/spark/jars/spark-0.0.1-SNAPSHOT.jar at spark://10.1.185.87:46544/jars/spark-0.0.1-SNAPSHOT.jar with timestamp 1528745536460
18/06/11 19:32:16 INFO StandaloneAppClient$ClientEndpoint: Connecting to master spark://10.1.170.81:7077...
18/06/11 19:32:36 INFO StandaloneAppClient$ClientEndpoint: Connecting to master spark://10.1.170.81:7077...
18/06/11 19:32:56 INFO StandaloneAppClient$ClientEndpoint: Connecting to master spark://10.1.170.81:7077...
18/06/11 19:33:16 ERROR StandaloneSchedulerBackend: Application has been killed. Reason: All masters are unresponsive! Giving up.
18/06/11 19:33:16 WARN StandaloneSchedulerBackend: Application ID is not initialized yet.
18/06/11 19:33:16 INFO SparkUI: Stopped Spark web UI at http://10.1.185.87:4040
18/06/11 19:33:16 INFO StandaloneSchedulerBackend: Shutting down all executors
18/06/11 19:33:16 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 46323.
18/06/11 19:33:16 INFO NettyBlockTransferService: Server created on 10.1.185.87:46323
18/06/11 19:33:16 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy
18/06/11 19:33:16 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Asking each executor to shut down
18/06/11 19:33:16 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 10.1.185.87, 46323, None)
18/06/11 19:33:16 WARN StandaloneAppClient$ClientEndpoint: Drop UnregisterApplication(null) because has not yet connected to master
18/06/11 19:33:16 INFO BlockManagerMasterEndpoint: Registering block manager 10.1.185.87:46323 with 366.3 MB RAM, BlockManagerId(driver, 10.1.185.87, 46323, None)
18/06/11 19:33:16 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 10.1.185.87, 46323, None)
18/06/11 19:33:16 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, 10.1.185.87, 46323, None)
18/06/11 19:33:16 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
18/06/11 19:33:16 INFO MemoryStore: MemoryStore cleared
18/06/11 19:33:16 INFO BlockManager: BlockManager stopped
18/06/11 19:33:16 INFO BlockManagerMaster: BlockManagerMaster stopped
18/06/11 19:33:16 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
18/06/11 19:33:16 ERROR SparkContext: Error initializing SparkContext.
java.lang.IllegalArgumentException: requirement failed: Can only call getServletHandlers on a running MetricsSystem
at scala.Predef$.require(Predef.scala:224)
at org.apache.spark.metrics.MetricsSystem.getServletHandlers(MetricsSystem.scala:91)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:524)
at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2509)
at org.apache.spark.streaming.StreamingContext.<init>(StreamingContext.scala:141)
at apache.spark.streaming.StreamingContext$$anonfun$getOrCreate$1.apply(StreamingContext.scala:829)
at org.apache.spark.streaming.StreamingContext$$anonfun$getOrCreate$1.apply(StreamingContext.scala:829)
at scala.Option.map(Option.scala:146)
at org.apache.spark.streaming.StreamingContext$.getOrCreate(StreamingContext.scala:829)
at org.apache.spark.streaming.api.java.JavaStreamingContext$.getOrCreate(JavaStreamingContext.scala:626)
at org.apache.spark.streaming.api.java.JavaStreamingContext.getOrCreate(JavaStreamingContext.scala)
at org.merlin.spark.SparkKafkaStreamingWithGluster.main(SparkKafkaStreamingWithGluster.java:42)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.worker.DriverWrapper$.main(DriverWrapper.scala:58)
at org.apache.spark.deploy.worker.DriverWrapper.main(DriverWrapper.scala)
18/06/11 19:33:16 INFO SparkContext: SparkContext already stopped.
Exception in thread "main" java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at scala.Predef$.require(Predef.scala:224)
at org.apache.spark.metrics.MetricsSystem.getServletHandlers(MetricsSystem.scala:91)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:524)
at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2509)
at org.apache.spark.streaming.StreamingContext.<init>(StreamingContext.scala:141)
at org.apache.spark.streaming.StreamingContext$$anonfun$getOrCreate$1.apply(StreamingContext.scala:829)
at org.apache.spark.streaming.StreamingContext$$anonfun$getOrCreate$1.apply(StreamingContext.scala:829)
at scala.Option.map(Option.scala:146)
at org.apache.spark.streaming.StreamingContext$.getOrCreate(StreamingContext.scala:829)
at org.apache.spark.streaming.api.java.JavaStreamingContext$.getOrCreate(JavaStreamingContext.scala:626)
at org.apache.spark.streaming.api.java.JavaStreamingContext.getOrCreate(JavaStreamingContext.scala)
at org.merlin.spark.SparkKafkaStreamingWithGluster.main(SparkKafkaStreamingWithGluster.java:42)
... 6 more
Am I choosing the right resource controller i.e. Statefulsets of kubernetes for spark?
M new to this environment, any help will be highly appreciable.

Seems like your driver is not able to find master node. Here is the log
18/06/11 19:33:16 ERROR StandaloneSchedulerBackend: Application has been killed. Reason: All masters are unresponsive! Giving up.
Try to telnet ip and port from your client machine.

Spark Standalone Mode, application runs, but executor is killed with exitStatus 1

I am new to Apache Spark and was trying to run the example Pi Calculation application on my local spark setup (using Standalone Cluster).
Both the Master, Slave and Driver are running on my local machine.
What I am noticing is that, the PI is calculated successfully, however in the slave logs I see that the Worker/Executor is being killed with exitStatus 1.
I do not see any errors/exceptions logged to the console otherwise.
I tried finding help on similar issue, but most of the search hits were referring to exitStatus 137 etc. (e.g: Spark application kills executor)
I have failed miserably to understand why the Worker is being killed instead of completing the execution with 'EXITED' state. I think it's related to how I am executing the app, but am not quite clear what am I doing wrong.
Can someone guide me on identifying the root cause?
Given below is the code I am using for PI calculation and the logs of the master, slave, driver respsectively.
PI Calculation Application
package sparky
import org.apache.spark.scheduler._
import org.apache.spark.sql.SparkSession
import scala.math.random
object Application {
def runSpark(args: Array[String] ): Unit = {
val spark = SparkSession
.builder
.appName("Spark Pi")
.getOrCreate()
spark.sparkContext.addSparkListener(new MyListener())
val slices = if (args.length > 0) args(0).toInt else 2
val n = math.min(100000L * slices, Int.MaxValue).toInt // avoid overflow
val count = spark.sparkContext.parallelize(1 until n, slices).map { i =>
val x = random * 2 - 1
val y = random * 2 - 1
if (x * x + y * y <= 1) 1 else 0
}.reduce(_ + _)
println("Pi is roughly " + 4.0 * count / (n - 1))
spark.stop()
}
def main(args: Array[String]) = {
Application.runSpark(args)
}
}
Master Console Output
C:\Servers\apache-spark\2.2.0\bin
λ start-master.cmd -h 0.0.0.0
C:\Platforms\Java\jdk1.8.0_65\bin\java -cp "C:\Servers\apache-spark\2.2.0\bin\..\conf\;C:\Servers\apache-spark\2.2.0\bin\..\jars\*" -Xmx1g org.apache.spark.deploy.master.Master
18/01/25 09:01:30,099 INFO Master: Started daemon with process name: 14900#somemachine
18/01/25 09:01:30,580 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/01/25 09:01:30,680 INFO SecurityManager: Changing view acls to: someuser
18/01/25 09:01:30,681 INFO SecurityManager: Changing modify acls to: someuser
18/01/25 09:01:30,682 INFO SecurityManager: Changing view acls groups to:
18/01/25 09:01:30,683 INFO SecurityManager: Changing modify acls groups to:
18/01/25 09:01:30,684 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(someuser); groups with view permissions: Set(); users with modify permissions: Set(someuser); groups with modify permissions: Set()
18/01/25 09:01:31,711 INFO Utils: Successfully started service 'sparkMaster' on port 7077.
18/01/25 09:01:31,829 INFO Master: Starting Spark master at spark://0.0.0.0:7077
18/01/25 09:01:31,833 INFO Master: Running Spark version 2.2.0
18/01/25 09:01:31,903 INFO log: Logging initialized #2692ms
18/01/25 09:01:31,960 INFO Server: jetty-9.3.z-SNAPSHOT
18/01/25 09:01:32,025 INFO Server: Started #2816ms
18/01/25 09:01:32,057 INFO AbstractConnector: Started ServerConnector#106ca013{HTTP/1.1,[http/1.1]}{0.0.0.0:8080}
18/01/25 09:01:32,058 INFO Utils: Successfully started service 'MasterUI' on port 8080.
18/01/25 09:01:32,087 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#41cc88b{/app,null,AVAILABLE,#Spark}
18/01/25 09:01:32,088 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#1c63bda6{/app/json,null,AVAILABLE,#Spark}
18/01/25 09:01:32,089 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#45ae273f{/,null,AVAILABLE,#Spark}
18/01/25 09:01:32,090 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#7a319c60{/json,null,AVAILABLE,#Spark}
18/01/25 09:01:32,098 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#23510beb{/static,null,AVAILABLE,#Spark}
18/01/25 09:01:32,099 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#462c632c{/app/kill,null,AVAILABLE,#Spark}
18/01/25 09:01:32,101 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#436ef27b{/driver/kill,null,AVAILABLE,#Spark}
18/01/25 09:01:32,104 INFO MasterWebUI: Bound MasterWebUI to 0.0.0.0, and started at http://192.168.56.1:8080
18/01/25 09:01:32,119 INFO Server: jetty-9.3.z-SNAPSHOT
18/01/25 09:01:32,130 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#6f7d1cba{/,null,AVAILABLE}
18/01/25 09:01:32,134 INFO AbstractConnector: Started ServerConnector#3f9e9637{HTTP/1.1,[http/1.1]}{0.0.0.0:6066}
18/01/25 09:01:32,134 INFO Server: Started #2925ms
18/01/25 09:01:32,134 INFO Utils: Successfully started service on port 6066.
18/01/25 09:01:32,135 INFO StandaloneRestServer: Started REST server for submitting applications on port 6066
18/01/25 09:01:32,358 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#7b3e5adb{/metrics/master/json,null,AVAILABLE,#Spark}
18/01/25 09:01:32,362 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#139cbe00{/metrics/applications/json,null,AVAILABLE,#Spark}
18/01/25 09:01:32,399 INFO Master: I have been elected leader! New state: ALIVE
18/01/25 09:01:41,225 INFO Master: Registering worker 192.168.56.1:48591 with 4 cores, 14.4 GB RAM
18/01/25 09:01:53,510 INFO Master: Registering app Spark Pi
18/01/25 09:01:53,515 INFO Master: Registered app Spark Pi with ID app-20180125090153-0000
18/01/25 09:01:53,569 INFO Master: Launching executor app-20180125090153-0000/0 on worker worker-20180125090140-192.168.56.1-48591
18/01/25 09:02:00,262 INFO Master: Received unregister request from application app-20180125090153-0000
18/01/25 09:02:00,269 INFO Master: Removing app app-20180125090153-0000
18/01/25 09:02:00,323 WARN Master: Got status update for unknown executor app-20180125090153-0000/0
18/01/25 09:02:00,338 INFO Master: 127.0.0.1:48625 got disassociated, removing it.
18/01/25 09:02:00,345 INFO Master: 192.168.56.1:48620 got disassociated, removing it.
Slave Console Output
C:\Servers\apache-spark\2.2.0\bin
λ start-slave.cmd -h 0.0.0.0
C:\Platforms\Java\jdk1.8.0_65\bin\java -cp "C:\Servers\apache-spark\2.2.0\bin\..\conf\;C:\Servers\apache-spark\2.2.0\bin\..\jars\*" -Xmx1g org.apache.spark.deploy.worker.Worker spark://0.0.0.0:7077
18/01/25 09:01:38,054 INFO Worker: Started daemon with process name: 14532#somemachine
18/01/25 09:01:38,546 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/01/25 09:01:38,644 INFO SecurityManager: Changing view acls to: someuser
18/01/25 09:01:38,645 INFO SecurityManager: Changing modify acls to: someuser
18/01/25 09:01:38,646 INFO SecurityManager: Changing view acls groups to:
18/01/25 09:01:38,647 INFO SecurityManager: Changing modify acls groups to:
18/01/25 09:01:38,648 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(someuser); groups with view permissions: Set(); users with modify permissions: Set(someuser); groups with modify permissions: Set()
18/01/25 09:01:39,655 INFO Utils: Successfully started service 'sparkWorker' on port 48591.
18/01/25 09:01:40,521 INFO Worker: Starting Spark worker 192.168.56.1:48591 with 4 cores, 14.4 GB RAM
18/01/25 09:01:40,526 INFO Worker: Running Spark version 2.2.0
18/01/25 09:01:40,527 INFO Worker: Spark home: C:\Servers\apache-spark\2.2.0\bin\..
18/01/25 09:01:40,586 INFO log: Logging initialized #3430ms
18/01/25 09:01:40,636 INFO Server: jetty-9.3.z-SNAPSHOT
18/01/25 09:01:40,657 INFO Server: Started #3503ms
18/01/25 09:01:40,787 WARN Utils: Service 'WorkerUI' could not bind on port 8081. Attempting port 8082.
18/01/25 09:01:40,797 INFO AbstractConnector: Started ServerConnector#24c54ec4{HTTP/1.1,[http/1.1]}{0.0.0.0:8082}
18/01/25 09:01:40,797 INFO Utils: Successfully started service 'WorkerUI' on port 8082.
18/01/25 09:01:40,832 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#6e86345{/logPage,null,AVAILABLE,#Spark}
18/01/25 09:01:40,833 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#43dbfd42{/logPage/json,null,AVAILABLE,#Spark}
18/01/25 09:01:40,834 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#768b7729{/,null,AVAILABLE,#Spark}
18/01/25 09:01:40,836 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#382e7183{/json,null,AVAILABLE,#Spark}
18/01/25 09:01:40,844 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#459d7b70{/static,null,AVAILABLE,#Spark}
18/01/25 09:01:40,845 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#5bf4fc9c{/log,null,AVAILABLE,#Spark}
18/01/25 09:01:40,849 INFO WorkerWebUI: Bound WorkerWebUI to 0.0.0.0, and started at http://192.168.56.1:8082
18/01/25 09:01:40,853 INFO Worker: Connecting to master 0.0.0.0:7077...
18/01/25 09:01:40,885 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#4e93ba9d{/metrics/json,null,AVAILABLE,#Spark}
18/01/25 09:01:40,971 INFO TransportClientFactory: Successfully created connection to /0.0.0.0:7077 after 82 ms (0 ms spent in bootstraps)
18/01/25 09:01:41,246 INFO Worker: Successfully registered with master spark://0.0.0.0:7077
18/01/25 09:01:53,621 INFO Worker: Asked to launch executor app-20180125090153-0000/0 for Spark Pi
18/01/25 09:01:53,661 INFO SecurityManager: Changing view acls to: someuser
18/01/25 09:01:53,663 INFO SecurityManager: Changing modify acls to: someuser
18/01/25 09:01:53,664 INFO SecurityManager: Changing view acls groups to:
18/01/25 09:01:53,668 INFO SecurityManager: Changing modify acls groups to:
18/01/25 09:01:53,669 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(someuser); groups with view permissions: Set(); users with modify permissions: Set(someuser); groups with modify permissions: Set()
18/01/25 09:01:53,695 INFO ExecutorRunner: Launch command: "C:\Platforms\Java\jdk1.8.0_65\bin\java" "-cp" "C:\Servers\apache-spark\2.2.0\bin\..\conf\;C:\Servers\apache-spark\2.2.0\bin\..\jars\*" "-Xmx1024M" "-Dspark.driver.port=48620" "org.apache.spark.executor.CoarseGrainedExecutorBackend" "--driver-url" "spark://CoarseGrainedScheduler#192.168.56.1:48620" "--executor-id" "0" "--hostname" "192.168.56.1" "--cores" "4" "--app-id" "app-20180125090153-0000" "--worker-url" "spark://Worker#192.168.56.1:48591"
18/01/25 09:02:00,297 INFO Worker: Asked to kill executor app-20180125090153-0000/0
18/01/25 09:02:00,303 INFO ExecutorRunner: Runner thread for executor app-20180125090153-0000/0 interrupted
18/01/25 09:02:00,305 INFO ExecutorRunner: Killing process!
18/01/25 09:02:00,323 INFO Worker: Executor app-20180125090153-0000/0 finished with state KILLED exitStatus 1
18/01/25 09:02:00,336 INFO ExternalShuffleBlockResolver: Application app-20180125090153-0000 removed, cleanupLocalDirs = true
18/01/25 09:02:00,340 INFO Worker: Cleaning up local directories for application app-20180125090153-0000
Driver Console Output
9:01:47 AM: Executing task 'submitToSpark'...
C:\Applications\scala\sparky\app\build\libs\sparky-app-0.0.1.jar
:app:compileJava NO-SOURCE
:app:compileScala UP-TO-DATE
:app:processResources NO-SOURCE
:app:classes UP-TO-DATE
:app:jar UP-TO-DATE
:runner:submitToSpark
C:\Platforms\Java\jdk1.8.0_65\bin\java -cp "C:\Servers\apache-spark\2.2.0\bin\..\conf\;C:\Servers\apache-spark\2.2.0\bin\..\jars\*" -Xmx1g org.apache.spark.deploy.SparkSubmit --master spark://localhost:7077 C:\Applications\scala\sparky\app\build\libs\sparky-app-0.0.1.jar
18/01/25 09:01:51,111 INFO SparkContext: Running Spark version 2.2.0
18/01/25 09:01:51,465 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/01/25 09:01:51,677 INFO SparkContext: Submitted application: Spark Pi
18/01/25 09:01:51,711 INFO SecurityManager: Changing view acls to: someuser
18/01/25 09:01:51,712 INFO SecurityManager: Changing modify acls to: someuser
18/01/25 09:01:51,712 INFO SecurityManager: Changing view acls groups to:
18/01/25 09:01:51,713 INFO SecurityManager: Changing modify acls groups to:
18/01/25 09:01:51,714 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(someuser); groups with view permissions: Set(); users with modify permissions: Set(someuser); groups with modify permissions: Set()
18/01/25 09:01:52,639 INFO Utils: Successfully started service 'sparkDriver' on port 48620.
18/01/25 09:01:52,669 INFO SparkEnv: Registering MapOutputTracker
18/01/25 09:01:52,695 INFO SparkEnv: Registering BlockManagerMaster
18/01/25 09:01:52,699 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information
18/01/25 09:01:52,700 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up
18/01/25 09:01:52,712 INFO DiskBlockManager: Created local directory at C:\Users\someuser\AppData\Local\Temp\blockmgr-f9908c61-a91a-43d5-8d24-e0fd86d55d1c
18/01/25 09:01:52,740 INFO MemoryStore: MemoryStore started with capacity 366.3 MB
18/01/25 09:01:52,808 INFO SparkEnv: Registering OutputCommitCoordinator
18/01/25 09:01:52,924 INFO log: Logging initialized #3539ms
18/01/25 09:01:53,009 INFO Server: jetty-9.3.z-SNAPSHOT
18/01/25 09:01:53,038 INFO Server: Started #3654ms
18/01/25 09:01:53,067 INFO AbstractConnector: Started ServerConnector#21a5fd96{HTTP/1.1,[http/1.1]}{0.0.0.0:4040}
18/01/25 09:01:53,067 INFO Utils: Successfully started service 'SparkUI' on port 4040.
18/01/25 09:01:53,099 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#40bffbca{/jobs,null,AVAILABLE,#Spark}
18/01/25 09:01:53,100 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#6c4f9535{/jobs/json,null,AVAILABLE,#Spark}
18/01/25 09:01:53,100 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#30c31dd7{/jobs/job,null,AVAILABLE,#Spark}
18/01/25 09:01:53,101 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#c1fca1e{/jobs/job/json,null,AVAILABLE,#Spark}
18/01/25 09:01:53,102 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#344344fa{/stages,null,AVAILABLE,#Spark}
18/01/25 09:01:53,103 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#70e659aa{/stages/json,null,AVAILABLE,#Spark}
18/01/25 09:01:53,103 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#285f09de{/stages/stage,null,AVAILABLE,#Spark}
18/01/25 09:01:53,105 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#48e64352{/stages/stage/json,null,AVAILABLE,#Spark}
18/01/25 09:01:53,106 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#4362d7df{/stages/pool,null,AVAILABLE,#Spark}
18/01/25 09:01:53,106 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#1c25b8a7{/stages/pool/json,null,AVAILABLE,#Spark}
18/01/25 09:01:53,107 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#750fe12e{/storage,null,AVAILABLE,#Spark}
18/01/25 09:01:53,108 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#3e587920{/storage/json,null,AVAILABLE,#Spark}
18/01/25 09:01:53,108 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#24f43aa3{/storage/rdd,null,AVAILABLE,#Spark}
18/01/25 09:01:53,109 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#1e11bc55{/storage/rdd/json,null,AVAILABLE,#Spark}
18/01/25 09:01:53,110 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#70e0accd{/environment,null,AVAILABLE,#Spark}
18/01/25 09:01:53,112 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#6ab72419{/environment/json,null,AVAILABLE,#Spark}
18/01/25 09:01:53,112 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#4fdfa676{/executors,null,AVAILABLE,#Spark}
18/01/25 09:01:53,113 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#5be82d43{/executors/json,null,AVAILABLE,#Spark}
18/01/25 09:01:53,114 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#345e5a17{/executors/threadDump,null,AVAILABLE,#Spark}
18/01/25 09:01:53,115 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#443dbe42{/executors/threadDump/json,null,AVAILABLE,#Spark}
18/01/25 09:01:53,125 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#1734f68{/static,null,AVAILABLE,#Spark}
18/01/25 09:01:53,125 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#31c269fd{/,null,AVAILABLE,#Spark}
18/01/25 09:01:53,127 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#47747fb9{/api,null,AVAILABLE,#Spark}
18/01/25 09:01:53,128 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#70eecdc2{/jobs/job/kill,null,AVAILABLE,#Spark}
18/01/25 09:01:53,129 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#7db0565c{/stages/stage/kill,null,AVAILABLE,#Spark}
18/01/25 09:01:53,133 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://192.168.56.1:4040
18/01/25 09:01:53,174 INFO SparkContext: Added JAR file:/C:/Applications/scala/sparky/app/build/libs/sparky-app-0.0.1.jar at spark://192.168.56.1:48620/jars/sparky-app-0.0.1.jar with timestamp 1516888913174
18/01/25 09:01:53,318 INFO StandaloneAppClient$ClientEndpoint: Connecting to master spark://localhost:7077...
18/01/25 09:01:53,389 INFO TransportClientFactory: Successfully created connection to localhost/127.0.0.1:7077 after 42 ms (0 ms spent in bootstraps)
18/01/25 09:01:53,554 INFO StandaloneSchedulerBackend: Connected to Spark cluster with app ID app-20180125090153-0000
18/01/25 09:01:53,577 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 48642.
18/01/25 09:01:53,578 INFO NettyBlockTransferService: Server created on 192.168.56.1:48642
18/01/25 09:01:53,582 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy
18/01/25 09:01:53,590 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 192.168.56.1, 48642, None)
18/01/25 09:01:53,595 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.56.1:48642 with 366.3 MB RAM, BlockManagerId(driver, 192.168.56.1, 48642, None)
18/01/25 09:01:53,600 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 192.168.56.1, 48642, None)
18/01/25 09:01:53,601 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, 192.168.56.1, 48642, None)
18/01/25 09:01:53,667 INFO StandaloneAppClient$ClientEndpoint: Executor added: app-20180125090153-0000/0 on worker-20180125090140-192.168.56.1-48591 (192.168.56.1:48591) with 4 cores
18/01/25 09:01:53,668 INFO StandaloneSchedulerBackend: Granted executor ID app-20180125090153-0000/0 on hostPort 192.168.56.1:48591 with 4 cores, 1024.0 MB RAM
18/01/25 09:01:53,901 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#74fef3f7{/metrics/json,null,AVAILABLE,#Spark}
18/01/25 09:01:55,026 INFO StandaloneAppClient$ClientEndpoint: Executor updated: app-20180125090153-0000/0 is now RUNNING
18/01/25 09:01:55,096 INFO EventLoggingListener: Logging events to file:///C:/Dustbin/spark-events/app-20180125090153-0000
18/01/25 09:01:55,127 INFO StandaloneSchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.0
18/01/25 09:01:55,218 INFO SharedState: Setting hive.metastore.warehouse.dir ('null') to the value of spark.sql.warehouse.dir ('file:/C:/Applications/scala/sparky/runner/spark-warehouse/').
18/01/25 09:01:55,219 INFO SharedState: Warehouse path is 'file:/C:/Applications/scala/sparky/runner/spark-warehouse/'.
18/01/25 09:01:55,228 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#50a691d3{/SQL,null,AVAILABLE,#Spark}
18/01/25 09:01:55,228 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#3b95d13c{/SQL/json,null,AVAILABLE,#Spark}
18/01/25 09:01:55,229 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#54d901aa{/SQL/execution,null,AVAILABLE,#Spark}
18/01/25 09:01:55,230 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#573284a5{/SQL/execution/json,null,AVAILABLE,#Spark}
18/01/25 09:01:55,233 INFO ContextHandler: Started o.s.j.s.ServletContextHandler#507b79f7{/static/sql,null,AVAILABLE,#Spark}
18/01/25 09:01:56,232 INFO StateStoreCoordinatorRef: Registered StateStoreCoordinator endpoint
18/01/25 09:01:56,609 INFO SparkContext: Starting job: reduce at Application.scala:29
18/01/25 09:01:56,636 INFO DAGScheduler: Got job 0 (reduce at Application.scala:29) with 2 output partitions
18/01/25 09:01:56,637 INFO DAGScheduler: Final stage: ResultStage 0 (reduce at Application.scala:29)
18/01/25 09:01:56,638 INFO DAGScheduler: Parents of final stage: List()
18/01/25 09:01:56,640 INFO DAGScheduler: Missing parents: List()
18/01/25 09:01:56,654 INFO DAGScheduler: Submitting ResultStage 0 (MapPartitionsRDD[1] at map at Application.scala:25), which has no missing parents
18/01/25 09:01:56,815 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 1800.0 B, free 366.3 MB)
18/01/25 09:01:56,980 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 1168.0 B, free 366.3 MB)
18/01/25 09:01:56,984 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on 192.168.56.1:48642 (size: 1168.0 B, free: 366.3 MB)
18/01/25 09:01:56,988 INFO SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:1006
18/01/25 09:01:57,016 INFO DAGScheduler: Submitting 2 missing tasks from ResultStage 0 (MapPartitionsRDD[1] at map at Application.scala:25) (first 15 tasks are for partitions Vector(0, 1))
18/01/25 09:01:57,018 INFO TaskSchedulerImpl: Adding task set 0.0 with 2 tasks
18/01/25 09:01:58,617 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Registered executor NettyRpcEndpointRef(spark-client://Executor) (192.168.56.1:48660) with ID 0
18/01/25 09:01:58,661 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, 192.168.56.1, executor 0, partition 0, PROCESS_LOCAL, 4829 bytes)
18/01/25 09:01:58,665 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, 192.168.56.1, executor 0, partition 1, PROCESS_LOCAL, 4829 bytes)
18/01/25 09:01:59,242 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.56.1:48678 with 366.3 MB RAM, BlockManagerId(0, 192.168.56.1, 48678, None)
18/01/25 09:01:59,819 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on 192.168.56.1:48678 (size: 1168.0 B, free: 366.3 MB)
18/01/25 09:02:00,139 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 1500 ms on 192.168.56.1 (executor 0) (1/2)
18/01/25 09:02:00,142 INFO TaskSetManager: Finished task 1.0 in stage 0.0 (TID 1) in 1478 ms on 192.168.56.1 (executor 0) (2/2)
18/01/25 09:02:00,143 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool
18/01/25 09:02:00,150 INFO DAGScheduler: ResultStage 0 (reduce at Application.scala:29) finished in 3.109 s
18/01/25 09:02:00,156 INFO DAGScheduler: Job 0 finished: reduce at Application.scala:29, took 3.546255 s
Pi is roughly 3.1363756818784094
18/01/25 09:02:00,168 INFO AbstractConnector: Stopped Spark#21a5fd96{HTTP/1.1,[http/1.1]}{0.0.0.0:4040}
18/01/25 09:02:00,170 INFO SparkUI: Stopped Spark web UI at http://192.168.56.1:4040
18/01/25 09:02:00,247 INFO StandaloneSchedulerBackend: Shutting down all executors
18/01/25 09:02:00,249 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Asking each executor to shut down
18/01/25 09:02:00,269 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
18/01/25 09:02:00,300 INFO MemoryStore: MemoryStore cleared
18/01/25 09:02:00,301 INFO BlockManager: BlockManager stopped
18/01/25 09:02:00,321 INFO BlockManagerMaster: BlockManagerMaster stopped
18/01/25 09:02:00,328 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
18/01/25 09:02:00,353 INFO SparkContext: Successfully stopped SparkContext
2018-01-25 09:02:00.353
18/01/25 09:02:00,358 INFO ShutdownHookManager: Shutdown hook called
18/01/25 09:02:00,360 INFO ShutdownHookManager: Deleting directory C:\Users\someuser\AppData\Local\Temp\spark-ac6369a0-abb8-476e-a527-91e0a8011302
BUILD SUCCESSFUL in 13s
3 actionable tasks: 1 executed, 2 up-to-date
9:02:01 AM: Task execution finished 'submitToSpark'.

Spark/Python - Slave in Cluster is not used

I'm new to Spark. I have the master(192.168.33.10), and slave(192.168.33.12) cluster setup locally, and I'm wrote to following script to demo that both master and slave are running the get_ip_wrap() on its own machine.
However, when I run with the command ./bin/spark-submit ip.py, I only see the 192.168.33.10 in the output, I was expecting 192.168.33.12 in the output as well.
I have also included the trace for my master and work output file as well.
import socket
import fcntl
import struct
from pyspark import SparkContext, SparkConf
from pyspark.sql import SparkSession
def get_ip_address(ifname):
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
return socket.inet_ntoa(fcntl.ioctl(
s.fileno(),
0x8915, # SIOCGIFADDR
struct.pack('256s', ifname[:15])
)[20:24])
def get_ip_wrap(num):
return get_ip_address('eth1')
#spark = SparkSession\
# .builder\
# .appName("PythonALS")\
# .getOrCreate()
#sc = spark.sparkContext
conf = SparkConf().setAppName('appName').setMaster('spark://vagrant-ubuntu-trusty-64:7077')
sc = SparkContext(conf=conf)
data = [x for x in range(0, 50)]
distData = sc.parallelize(data)
result = distData.map(get_ip_wrap)
print result.collect()
vagrant#vagrant-ubuntu-trusty-64:~/spark-2.1.1-bin-hadoop2.7$ ./sbin/start-master.sh
starting org.apache.spark.deploy.master.Master, logging to /home/vagrant/spark-2.1.1-bin-hadoop2.7/logs/spark-vagrant-org.apache.spark.deploy.master.Master-1-vagrant-ubuntu-trusty-64.out
vagrant#vagrant-ubuntu-trusty-64:~/spark-2.1.1-bin-hadoop2.7$
vagrant#vagrant-ubuntu-trusty-64:~/spark-2.1.1-bin-hadoop2.7$ ./sbin/start-slave.sh spark://vagrant-ubuntu-trusty-64:7077
starting org.apache.spark.deploy.worker.Worker, logging to /home/vagrant/spark-2.1.1-bin-hadoop2.7/logs/spark-vagrant-org.apache.spark.deploy.worker.Worker-1-vagrant-ubuntu-trusty-64.out
vagrant#vagrant-ubuntu-trusty-64:~/spark-2.1.1-bin-hadoop2.7$
vagrant#vagrant-ubuntu-trusty-64:~/spark-2.1.1-bin-hadoop2.7$
vagrant#vagrant-ubuntu-trusty-64:~/spark-2.1.1-bin-hadoop2.7$
vagrant#vagrant-ubuntu-trusty-64:~/spark-2.1.1-bin-hadoop2.7$ ./bin/spark-submit ip.py
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
17/05/27 17:08:09 INFO SparkContext: Running Spark version 2.1.1
17/05/27 17:08:09 WARN SparkContext: Support for Java 7 is deprecated as of Spark 2.0.0
17/05/27 17:08:10 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/05/27 17:08:10 INFO SecurityManager: Changing view acls to: vagrant
17/05/27 17:08:10 INFO SecurityManager: Changing modify acls to: vagrant
17/05/27 17:08:10 INFO SecurityManager: Changing view acls groups to:
17/05/27 17:08:10 INFO SecurityManager: Changing modify acls groups to:
17/05/27 17:08:10 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(vagrant); groups with view permissions: Set(); users with modify permissions: Set(vagrant); groups with modify permissions: Set()
17/05/27 17:08:10 INFO Utils: Successfully started service 'sparkDriver' on port 59290.
17/05/27 17:08:10 INFO SparkEnv: Registering MapOutputTracker
17/05/27 17:08:10 INFO SparkEnv: Registering BlockManagerMaster
17/05/27 17:08:10 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information
17/05/27 17:08:10 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up
17/05/27 17:08:10 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-ad008702-6e92-4e60-ab27-a582b1ba9fb9
17/05/27 17:08:10 INFO MemoryStore: MemoryStore started with capacity 413.9 MB
17/05/27 17:08:11 INFO SparkEnv: Registering OutputCommitCoordinator
17/05/27 17:08:11 WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
17/05/27 17:08:11 WARN Utils: Service 'SparkUI' could not bind on port 4041. Attempting port 4042.
17/05/27 17:08:11 INFO Utils: Successfully started service 'SparkUI' on port 4042.
17/05/27 17:08:11 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://10.0.2.15:4042
17/05/27 17:08:11 INFO SparkContext: Added file file:/home/vagrant/spark-2.1.1-bin-hadoop2.7/ip.py at spark://10.0.2.15:59290/files/ip.py with timestamp 1495904891756
17/05/27 17:08:11 INFO Utils: Copying /home/vagrant/spark-2.1.1-bin-hadoop2.7/ip.py to /tmp/spark-5400808c-1304-404d-ae53-dc6cdb14694f/userFiles-dc94d72e-15d3-4d84-87b9-27e87dcb0f6a/ip.py
17/05/27 17:08:11 INFO StandaloneAppClient$ClientEndpoint: Connecting to master spark://vagrant-ubuntu-trusty-64:7077...
17/05/27 17:08:11 INFO TransportClientFactory: Successfully created connection to vagrant-ubuntu-trusty-64/10.0.2.15:7077 after 20 ms (0 ms spent in bootstraps)
17/05/27 17:08:12 INFO StandaloneSchedulerBackend: Connected to Spark cluster with app ID app-20170527170812-0000
17/05/27 17:08:12 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 53124.
17/05/27 17:08:12 INFO NettyBlockTransferService: Server created on 10.0.2.15:53124
17/05/27 17:08:12 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy
17/05/27 17:08:12 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 10.0.2.15, 53124, None)
17/05/27 17:08:12 INFO StandaloneAppClient$ClientEndpoint: Executor added: app-20170527170812-0000/0 on worker-20170527170800-10.0.2.15-54829 (10.0.2.15:54829) with 1 cores
17/05/27 17:08:12 INFO StandaloneSchedulerBackend: Granted executor ID app-20170527170812-0000/0 on hostPort 10.0.2.15:54829 with 1 cores, 1024.0 MB RAM
17/05/27 17:08:12 INFO BlockManagerMasterEndpoint: Registering block manager 10.0.2.15:53124 with 413.9 MB RAM, BlockManagerId(driver, 10.0.2.15, 53124, None)
17/05/27 17:08:12 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 10.0.2.15, 53124, None)
17/05/27 17:08:12 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, 10.0.2.15, 53124, None)
17/05/27 17:08:12 INFO StandaloneAppClient$ClientEndpoint: Executor updated: app-20170527170812-0000/0 is now RUNNING
17/05/27 17:08:12 INFO StandaloneSchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.0
17/05/27 17:08:13 INFO SparkContext: Starting job: collect at /home/vagrant/spark-2.1.1-bin-hadoop2.7/ip.py:31
17/05/27 17:08:13 INFO DAGScheduler: Got job 0 (collect at /home/vagrant/spark-2.1.1-bin-hadoop2.7/ip.py:31) with 2 output partitions
17/05/27 17:08:13 INFO DAGScheduler: Final stage: ResultStage 0 (collect at /home/vagrant/spark-2.1.1-bin-hadoop2.7/ip.py:31)
17/05/27 17:08:13 INFO DAGScheduler: Parents of final stage: List()
17/05/27 17:08:13 INFO DAGScheduler: Missing parents: List()
17/05/27 17:08:13 INFO DAGScheduler: Submitting ResultStage 0 (PythonRDD[1] at collect at /home/vagrant/spark-2.1.1-bin-hadoop2.7/ip.py:31), which has no missing parents
17/05/27 17:08:13 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 4.1 KB, free 413.9 MB)
17/05/27 17:08:13 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 2.8 KB, free 413.9 MB)
17/05/27 17:08:13 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on 10.0.2.15:53124 (size: 2.8 KB, free: 413.9 MB)
17/05/27 17:08:13 INFO SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:996
17/05/27 17:08:13 INFO DAGScheduler: Submitting 2 missing tasks from ResultStage 0 (PythonRDD[1] at collect at /home/vagrant/spark-2.1.1-bin-hadoop2.7/ip.py:31)
17/05/27 17:08:13 INFO TaskSchedulerImpl: Adding task set 0.0 with 2 tasks
17/05/27 17:08:15 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Registered executor NettyRpcEndpointRef(null) (10.0.2.15:40762) with ID 0
17/05/27 17:08:15 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, 10.0.2.15, executor 0, partition 0, PROCESS_LOCAL, 6136 bytes)
17/05/27 17:08:15 INFO BlockManagerMasterEndpoint: Registering block manager 10.0.2.15:33949 with 413.9 MB RAM, BlockManagerId(0, 10.0.2.15, 33949, None)
17/05/27 17:08:15 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on 10.0.2.15:33949 (size: 2.8 KB, free: 413.9 MB)
17/05/27 17:08:16 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, 10.0.2.15, executor 0, partition 1, PROCESS_LOCAL, 6136 bytes)
17/05/27 17:08:16 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 1050 ms on 10.0.2.15 (executor 0) (1/2)
17/05/27 17:08:16 INFO DAGScheduler: ResultStage 0 (collect at /home/vagrant/spark-2.1.1-bin-hadoop2.7/ip.py:31) finished in 2.504 s
17/05/27 17:08:16 INFO TaskSetManager: Finished task 1.0 in stage 0.0 (TID 1) in 119 ms on 10.0.2.15 (executor 0) (2/2)
17/05/27 17:08:16 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool
17/05/27 17:08:16 INFO DAGScheduler: Job 0 finished: collect at /home/vagrant/spark-2.1.1-bin-hadoop2.7/ip.py:31, took 2.981746 s
['192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10', '192.168.33.10']
17/05/27 17:08:16 INFO SparkContext: Invoking stop() from shutdown hook
17/05/27 17:08:16 INFO SparkUI: Stopped Spark web UI at http://10.0.2.15:4042
17/05/27 17:08:16 INFO StandaloneSchedulerBackend: Shutting down all executors
17/05/27 17:08:16 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Asking each executor to shut down
17/05/27 17:08:16 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
17/05/27 17:08:16 INFO MemoryStore: MemoryStore cleared
17/05/27 17:08:16 INFO BlockManager: BlockManager stopped
17/05/27 17:08:16 INFO BlockManagerMaster: BlockManagerMaster stopped
17/05/27 17:08:16 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
17/05/27 17:08:16 INFO SparkContext: Successfully stopped SparkContext
17/05/27 17:08:16 INFO ShutdownHookManager: Shutdown hook called
17/05/27 17:08:16 INFO ShutdownHookManager: Deleting directory /tmp/spark-5400808c-1304-404d-ae53-dc6cdb14694f/pyspark-021d6ed2-91d0-481b-b528-108581abe66c
17/05/27 17:08:16 INFO ShutdownHookManager: Deleting directory /tmp/spark-5400808c-1304-404d-ae53-dc6cdb14694f
vagrant#vagrant-ubuntu-trusty-64:~/spark-2.1.1-bin-hadoop2.7$
vagrant#vagrant-ubuntu-trusty-64:~/spark-2.1.1-bin-hadoop2.7$
vagrant#vagrant-ubuntu-trusty-64:~/spark-2.1.1-bin-hadoop2.7$
vagrant#vagrant-ubuntu-trusty-64:~/spark-2.1.1-bin-hadoop2.7$ cat /home/vagrant/spark-2.1.1-bin-hadoop2.7/logs/spark-vagrant-org.apache.spark.deploy.master.Master-1-vagrant-ubuntu-trusty-64.out
Spark Command: /usr/lib/jvm/java-7-openjdk-amd64/jre/bin/java -cp /home/vagrant/spark-2.1.1-bin-hadoop2.7/conf/:/home/vagrant/spark-2.1.1-bin-hadoop2.7/jars/* -Xmx1g -XX:MaxPermSize=256m org.apache.spark.deploy.master.Master --host vagrant-ubuntu-trusty-64 --port 7077 --webui-port 8080
========================================
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
17/05/27 17:07:44 INFO Master: Started daemon with process name: 9384#vagrant-ubuntu-trusty-64
17/05/27 17:07:44 INFO SignalUtils: Registered signal handler for TERM
17/05/27 17:07:44 INFO SignalUtils: Registered signal handler for HUP
17/05/27 17:07:44 INFO SignalUtils: Registered signal handler for INT
17/05/27 17:07:44 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/05/27 17:07:45 INFO SecurityManager: Changing view acls to: vagrant
17/05/27 17:07:45 INFO SecurityManager: Changing modify acls to: vagrant
17/05/27 17:07:45 INFO SecurityManager: Changing view acls groups to:
17/05/27 17:07:45 INFO SecurityManager: Changing modify acls groups to:
17/05/27 17:07:45 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(vagrant); groups with view permissions: Set(); users with modify permissions: Set(vagrant); groups with modify permissions: Set()
17/05/27 17:07:45 INFO Utils: Successfully started service 'sparkMaster' on port 7077.
17/05/27 17:07:45 INFO Master: Starting Spark master at spark://vagrant-ubuntu-trusty-64:7077
17/05/27 17:07:45 INFO Master: Running Spark version 2.1.1
17/05/27 17:07:45 INFO Utils: Successfully started service 'MasterUI' on port 8080.
17/05/27 17:07:45 INFO MasterWebUI: Bound MasterWebUI to 0.0.0.0, and started at http://10.0.2.15:8080
17/05/27 17:07:45 INFO Utils: Successfully started service on port 6066.
17/05/27 17:07:45 INFO StandaloneRestServer: Started REST server for submitting applications on port 6066
17/05/27 17:07:46 INFO Master: I have been elected leader! New state: ALIVE
17/05/27 17:08:00 INFO Master: Registering worker 10.0.2.15:54829 with 1 cores, 2.8 GB RAM
17/05/27 17:08:12 INFO Master: Registering app appName
17/05/27 17:08:12 INFO Master: Registered app appName with ID app-20170527170812-0000
17/05/27 17:08:12 INFO Master: Launching executor app-20170527170812-0000/0 on worker worker-20170527170800-10.0.2.15-54829
17/05/27 17:08:16 INFO Master: Received unregister request from application app-20170527170812-0000
17/05/27 17:08:16 INFO Master: Removing app app-20170527170812-0000
17/05/27 17:08:16 INFO Master: 10.0.2.15:51703 got disassociated, removing it.
17/05/27 17:08:16 INFO Master: 10.0.2.15:59290 got disassociated, removing it.
17/05/27 17:08:16 WARN Master: Got status update for unknown executor app-20170527170812-0000/0
vagrant#vagrant-ubuntu-trusty-64:~/spark-2.1.1-bin-hadoop2.7$

Spark not doing any work on slave: Initial job has not accepted any resources

I am trying to do a very simple setup with Spark using SSH tunneling and I can't make it work.
I have master running on my PC, with this setup ./sbin/start-master.sh -h localhost -p 7077 (if not stated otherwise, everything else is default).
On my slave PC (IP is 192.168.0.222), which is in other domain and I don't have a root access to it, I made ssh -N -L localhost:7078:localhost:7077 myMasterPCSSHalias and run slave with ./sbin/start-slave.sh spark://localhost:7078. I can now see this slave on the dashboard at http://localhost:8080/ in my browser. I see that it has 14GB of free memory.
When I then try e.g. this example:
./bin/spark-submit --master spark://localhost:7077 examples/src/main/python/pi.py 10
it hangs on this message until I kill it (you can see the full log message below):
WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
I am sure I am not using more resources than I have available, the problem still persists even though I use --executor-memory 512m and running executor is just signalling RUNNING state. The only thing in error log is this:
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
16/05/09 22:45:44 INFO CoarseGrainedExecutorBackend: Registered signal handlers for [TERM, HUP, INT]
16/05/09 22:45:44 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/05/09 22:45:45 INFO SecurityManager: Changing view acls to: hnykdan1,dan
16/05/09 22:45:45 INFO SecurityManager: Changing modify acls to: hnykdan1,dan
16/05/09 22:45:45 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hnykdan1, dan); users with modify permissions: Set(hnykdan1, dan)
and in slave log is this:
16/05/09 22:48:56 INFO Worker: Asked to launch executor app-20160509224034-0013/0 for PythonPi
16/05/09 22:48:56 INFO SecurityManager: Changing view acls to: hnykdan1
16/05/09 22:48:56 INFO SecurityManager: Changing modify acls to: hnykdan1
16/05/09 22:48:56 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hnykdan1); users with modify permissions: Set(hnykdan1)
16/05/09 22:48:56 INFO ExecutorRunner: Launch command: "/usr/lib/jvm/java-7-openjdk-amd64/jre/bin/java" "-cp" "/home/hnykdan1/spark/conf/:/home/hnykdan1/spark/lib/spark-assembly-1.6.1-hadoop2.6.0.jar:/home/hnykdan1/spark/lib/datanucleus-core-3.2.10.jar:/home/hnykdan1/spark/lib/datanucleus-api-jdo-3.2.6.jar:/home/hnykdan1/spark/lib/datanucleus-rdbms-3.2.9.jar" "-Xms1024M" "-Xmx1024M" "-Dspark.driver.port=37450" "-XX:MaxPermSize=256m" "org.apache.spark.executor.CoarseGrainedExecutorBackend" "--driver-url" "spark://CoarseGrainedScheduler#192.168.0.222:37450" "--executor-id" "0" "--hostname" "147.32.8.103" "--cores" "8" "--app-id" "app-20160509224034-0013" "--worker-url" "spark://Worker#147.32.8.103:54894"
Everything looks quite normal and I don't know where might be a problem. Do I need to tunnel even the other way around? It runs fine when I run slave locally in the exactly same fashion. Thanks
Full Log from console
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
16/05/09 22:28:21 INFO SparkContext: Running Spark version 1.6.1
16/05/09 22:28:21 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/05/09 22:28:22 INFO SecurityManager: Changing view acls to: dan
16/05/09 22:28:22 INFO SecurityManager: Changing modify acls to: dan
16/05/09 22:28:22 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(dan); users with modify permissions: Set(dan)
16/05/09 22:28:22 INFO Utils: Successfully started service 'sparkDriver' on port 34508.
16/05/09 22:28:23 INFO Slf4jLogger: Slf4jLogger started
16/05/09 22:28:23 INFO Remoting: Starting remoting
16/05/09 22:28:23 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem#192.168.0.222:44359]
16/05/09 22:28:23 INFO Utils: Successfully started service 'sparkDriverActorSystem' on port 44359.
16/05/09 22:28:23 INFO SparkEnv: Registering MapOutputTracker
16/05/09 22:28:23 INFO SparkEnv: Registering BlockManagerMaster
16/05/09 22:28:23 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-db4c3293-423f-4966-a479-b69a90439da9
16/05/09 22:28:23 INFO MemoryStore: MemoryStore started with capacity 511.1 MB
16/05/09 22:28:23 INFO SparkEnv: Registering OutputCommitCoordinator
16/05/09 22:28:24 INFO Utils: Successfully started service 'SparkUI' on port 4040.
16/05/09 22:28:24 INFO SparkUI: Started SparkUI at http://192.168.0.222:4040
16/05/09 22:28:24 INFO HttpFileServer: HTTP File server directory is /tmp/spark-d532a9c1-0455-4937-ad27-b47abb2a65e8/httpd-aa031b8c-f605-41c3-aabe-fc4fe01bdcf8
16/05/09 22:28:24 INFO HttpServer: Starting HTTP Server
16/05/09 22:28:24 INFO Utils: Successfully started service 'HTTP file server' on port 41770.
16/05/09 22:28:24 INFO Utils: Copying /home/hnykdan1/spark/examples/src/main/python/pi.py to /tmp/spark-d532a9c1-0455-4937-ad27-b47abb2a65e8/userFiles-14720bed-cd41-4b15-9bd3-38dbf4f268ff/pi.py
16/05/09 22:28:24 INFO SparkContext: Added file file:/home/hnykdan1/spark/examples/src/main/python/pi.py at http://192.168.0.222:41770/files/pi.py with timestamp 1462825704629
16/05/09 22:28:24 INFO AppClient$ClientEndpoint: Connecting to master spark://localhost:7077...
16/05/09 22:28:24 INFO SparkDeploySchedulerBackend: Connected to Spark cluster with app ID app-20160509222824-0011
16/05/09 22:28:24 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 44617.
16/05/09 22:28:24 INFO NettyBlockTransferService: Server created on 44617
16/05/09 22:28:24 INFO AppClient$ClientEndpoint: Executor added: app-20160509222824-0011/0 on worker-20160509214654-147.32.8.103-54894 (147.32.8.103:54894) with 8 cores
16/05/09 22:28:24 INFO BlockManagerMaster: Trying to register BlockManager
16/05/09 22:28:24 INFO SparkDeploySchedulerBackend: Granted executor ID app-20160509222824-0011/0 on hostPort 147.32.8.103:54894 with 8 cores, 1024.0 MB RAM
16/05/09 22:28:24 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.0.222:44617 with 511.1 MB RAM, BlockManagerId(driver, 192.168.0.222, 44617)
16/05/09 22:28:24 INFO BlockManagerMaster: Registered BlockManager
16/05/09 22:28:25 INFO AppClient$ClientEndpoint: Executor updated: app-20160509222824-0011/0 is now RUNNING
16/05/09 22:28:25 INFO SparkDeploySchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.0
16/05/09 22:28:25 INFO SparkContext: Starting job: reduce at /home/hnykdan1/spark/examples/src/main/python/pi.py:39
16/05/09 22:28:25 INFO DAGScheduler: Got job 0 (reduce at /home/hnykdan1/spark/examples/src/main/python/pi.py:39) with 10 output partitions
16/05/09 22:28:25 INFO DAGScheduler: Final stage: ResultStage 0 (reduce at /home/hnykdan1/spark/examples/src/main/python/pi.py:39)
16/05/09 22:28:25 INFO DAGScheduler: Parents of final stage: List()
16/05/09 22:28:25 INFO DAGScheduler: Missing parents: List()
16/05/09 22:28:25 INFO DAGScheduler: Submitting ResultStage 0 (PythonRDD[1] at reduce at /home/hnykdan1/spark/examples/src/main/python/pi.py:39), which has no missing parents
16/05/09 22:28:26 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 4.0 KB, free 4.0 KB)
16/05/09 22:28:26 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 2.7 KB, free 6.7 KB)
16/05/09 22:28:26 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on 192.168.0.222:44617 (size: 2.7 KB, free: 511.1 MB)
16/05/09 22:28:26 INFO SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:1006
16/05/09 22:28:26 INFO DAGScheduler: Submitting 10 missing tasks from ResultStage 0 (PythonRDD[1] at reduce at /home/hnykdan1/spark/examples/src/main/python/pi.py:39)
16/05/09 22:28:26 INFO TaskSchedulerImpl: Adding task set 0.0 with 10 tasks
16/05/09 22:28:41 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
16/05/09 22:28:56 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
16/05/09 22:29:11 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
16/05/09 22:29:26 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
16/05/09 22:29:41 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
16/05/09 22:29:56 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
16/05/09 22:30:11 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
16/05/09 22:30:26 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

Since you checked that you have the resources, the next most likely problem is that the executor cannot connect back to the driver. When submitting a job, the driver starts a server that the executor will connect to in order to download the jar(s).
Yes, the error message (Initial job has not accepted any resources...) does not look related to network problem. This is a known issue discussed for example here:
https://github.com/databricks/spark-knowledgebase/issues/9

It's probably related to the network (security groups rules). It's a silly test, but I just made it work by opening master and workers to all TCP traffic (inbound/outbound).

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