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my cluster note.json
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{
"paragraphs": [
{
"text": "sc.getConf.get(\"spark.executor.cores\")",
"user": "[email protected]",
"dateUpdated": "Apr 24, 2017 11:18:58 AM",
"config": {
"colWidth": 12.0,
"graph": {
"mode": "table",
"height": 300.0,
"optionOpen": false,
"keys": [],
"values": [],
"groups": [],
"scatter": {}
},
"enabled": true,
"editorMode": "ace/mode/scala"
},
"settings": {
"params": {},
"forms": {}
},
"jobName": "paragraph_1492770963024_19224291",
"id": "20170421-103603_1471998307",
"result": {
"code": "SUCCESS",
"type": "TEXT",
"msg": "\nres2: String \u003d 1\n"
},
"dateCreated": "Apr 21, 2017 10:36:03 AM",
"dateStarted": "Apr 24, 2017 11:18:58 AM",
"dateFinished": "Apr 24, 2017 11:18:59 AM",
"status": "FINISHED",
"progressUpdateIntervalMs": 500
},
{
"text": "%sh echo lol\nsleep 4",
"user": "[email protected]",
"dateUpdated": "Apr 24, 2017 8:05:07 AM",
"config": {
"colWidth": 12.0,
"graph": {
"mode": "table",
"height": 300.0,
"optionOpen": false,
"keys": [],
"values": [],
"groups": [],
"scatter": {}
},
"enabled": true,
"editorMode": "ace/mode/sh"
},
"settings": {
"params": {},
"forms": {}
},
"jobName": "paragraph_1492688847770_326565314",
"id": "20170420-114727_1596721884",
"result": {
"code": "SUCCESS",
"type": "TEXT",
"msg": "lol\n"
},
"dateCreated": "Apr 20, 2017 11:47:27 AM",
"dateStarted": "Apr 24, 2017 8:05:07 AM",
"dateFinished": "Apr 24, 2017 8:05:11 AM",
"status": "FINISHED",
"progressUpdateIntervalMs": 500
},
{
"text": "sc.version",
"user": "[email protected]",
"dateUpdated": "Apr 24, 2017 11:17:48 AM",
"config": {
"colWidth": 12.0,
"graph": {
"mode": "table",
"height": 300.0,
"optionOpen": false,
"keys": [],
"values": [],
"groups": [],
"scatter": {}
},
"enabled": true,
"editorMode": "ace/mode/scala"
},
"settings": {
"params": {},
"forms": {}
},
"jobName": "paragraph_1492688875389_-233983185",
"id": "20170420-114755_777052741",
"result": {
"code": "SUCCESS",
"type": "TEXT",
"msg": "\nres0: String \u003d 2.0.0\n"
},
"dateCreated": "Apr 20, 2017 11:47:55 AM",
"dateStarted": "Apr 24, 2017 11:17:48 AM",
"dateFinished": "Apr 24, 2017 11:18:54 AM",
"status": "FINISHED",
"progressUpdateIntervalMs": 500
},
{
"text": "sc.stop",
"user": "[email protected]",
"dateUpdated": "Apr 24, 2017 7:45:19 AM",
"config": {
"colWidth": 12.0,
"graph": {
"mode": "table",
"height": 300.0,
"optionOpen": false,
"keys": [],
"values": [],
"groups": [],
"scatter": {}
},
"enabled": true,
"editorMode": "ace/mode/scala"
},
"settings": {
"params": {},
"forms": {}
},
"jobName": "paragraph_1493010771638_1336070831",
"id": "20170424-051251_1411754342",
"result": {
"code": "SUCCESS",
"type": "TEXT",
"msg": ""
},
"dateCreated": "Apr 24, 2017 5:12:51 AM",
"dateStarted": "Apr 24, 2017 7:45:20 AM",
"dateFinished": "Apr 24, 2017 7:46:20 AM",
"status": "ABORT",
"progressUpdateIntervalMs": 500
},
{
"text": "%sql\nselect * from (select * from default_qubole_memetracker limit 1) where site \u003d \u0027beria\u0027",
"user": "[email protected]",
"dateUpdated": "Apr 21, 2017 11:00:17 AM",
"config": {
"colWidth": 12.0,
"graph": {
"mode": "table",
"height": 300.0,
"optionOpen": false,
"keys": [
{
"name": "site",
"index": 0.0,
"aggr": "sum"
}
],
"values": [
{
"name": "ts",
"index": 1.0,
"aggr": "sum"
}
],
"groups": [],
"scatter": {
"xAxis": {
"name": "site",
"index": 0.0,
"aggr": "sum"
},
"yAxis": {
"name": "ts",
"index": 1.0,
"aggr": "sum"
}
}
},
"enabled": true,
"editorMode": "ace/mode/sql"
},
"settings": {
"params": {},
"forms": {}
},
"jobName": "paragraph_1492688912949_-388005338",
"id": "20170420-114832_763209470",
"result": {
"code": "ERROR",
"type": "TEXT",
"msg": "org.apache.spark.SparkException: Job 1 cancelled part of cancelled job group zeppelin-RUTDNGEEEP1492688845-20170420-114832_763209470\n\tat org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1476)\n\tat org.apache.spark.scheduler.DAGScheduler.handleJobCancellation(DAGScheduler.scala:1415)\n\tat org.apache.spark.scheduler.DAGScheduler$$anonfun$handleJobGroupCancelled$1.apply$mcVI$sp(DAGScheduler.scala:821)\n\tat org.apache.spark.scheduler.DAGScheduler$$anonfun$handleJobGroupCancelled$1.apply(DAGScheduler.scala:821)\n\tat org.apache.spark.scheduler.DAGScheduler$$anonfun$handleJobGroupCancelled$1.apply(DAGScheduler.scala:821)\n\tat scala.collection.mutable.HashSet.foreach(HashSet.scala:78)\n\tat org.apache.spark.scheduler.DAGScheduler.handleJobGroupCancelled(DAGScheduler.scala:821)\n\tat org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1664)\n\tat org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1644)\n\tat org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1633)\n\tat org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)\n\tat org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:637)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:2018)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:2031)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:2044)\n\tat org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:347)\n\tat org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:39)\n\tat org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2183)\n\tat org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:58)\n\tat org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2532)\n\tat org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2182)\n\tat org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2189)\n\tat org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1925)\n\tat org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1924)\n\tat org.apache.spark.sql.Dataset.withTypedCallback(Dataset.scala:2562)\n\tat org.apache.spark.sql.Dataset.head(Dataset.scala:1924)\n\tat org.apache.spark.sql.Dataset.take(Dataset.scala:2139)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:606)\n\tat org.apache.zeppelin.spark.ZeppelinContext.showDF(ZeppelinContext.java:223)\n\tat org.apache.zeppelin.spark.SparkSqlInterpreter.interpret(SparkSqlInterpreter.java:143)\n\tat org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:103)\n\tat org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:344)\n\tat org.apache.zeppelin.scheduler.Job.run(Job.java:185)\n\tat org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:139)\n\tat java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)\n\tat java.util.concurrent.FutureTask.run(FutureTask.java:262)\n\tat java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:178)\n\tat java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:292)\n\tat java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)\n\tat java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)\n\tat java.lang.Thread.run(Thread.java:745)\n"
},
"dateCreated": "Apr 20, 2017 11:48:32 AM",
"dateStarted": "Apr 21, 2017 10:54:03 AM",
"dateFinished": "Apr 21, 2017 11:00:16 AM",
"status": "ABORT",
"progressUpdateIntervalMs": 500
},
{
"text": "%sql show tables",
"user": "[email protected]",
"dateUpdated": "Apr 20, 2017 12:32:40 PM",
"config": {
"colWidth": 12.0,
"graph": {
"mode": "table",
"height": 300.0,
"optionOpen": false,
"keys": [],
"values": [],
"groups": [],
"scatter": {}
},
"enabled": true,
"editorMode": "ace/mode/sql"
},
"settings": {
"params": {},
"forms": {}
},
"jobName": "paragraph_1492689010225_162893790",
"id": "20170420-115010_220366803",
"result": {
"code": "SUCCESS",
"type": "TABLE",
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