ML gets stuck at "Pending"

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ML gets stuck at "Pending"

L1 Bithead

I started by running the command

scp export log traffic start-time equal 2018/07/30@00:00:00 end-time equal 2018/07/30@23:45:00 to expedition@172.30.200.117:/PALogs/mltest.csv

on my PA220. 

 

root@Expedition:/PALogs# ls -l
total 64296
-rw-rw-r-- 1 expedition expedition 65830760 Aug 1 17:35 mltest.csv
drwxr-xr-x 2 www-data www-data 4096 Aug 1 17:45 sparkLocalDir
drwxr-xr-x 2 www-data www-data 4096 Aug 1 17:37 spark-warehouse
root@Expedition:/PALogs#

 

What am I missing here?

 

 

Untitled.png

1 accepted solution

Accepted Solutions

I wanted to close out this topic with the solution Didac found this morning.  He noticed that the following was set in the /etc/mysql/my.cnf file:

 

bind-address = 127.0.0.1

 

That line should be commented out instead, like this:

 

#bind-address = 127.0.0.1

 

Once that change was made everything started working again.  Didac spent a lot of time with me over the phone to get this resolved.  His support dedication is superb.  Thank you Didac!

View solution in original post

26 REPLIES 26

L5 Sessionator
In case you Rae not running the latest version of Expedition, we recommend to upgrade.
It may be that later versions provide you more detailed information.

I'm running 1.0.101 and have edited the apache and php ini files to get red of the red errors that are normally on the dashboard after initial install.  This is a new installation running on my VMware Workstation.2018_08_02_09_27_17_Settings.png

It's has been showing this since yesterday afternoon

2018_08_02_09_28_45_Expedition_Project.png

Any ideas of what I can do to resolve this?

Could you check it you got the file with path /TMP/error_logCoCo?

If so, could you send it to fwmigrate at paloaltonetworks dot com?

This is all I see.

 

root@Expedition:/# ls -l
total 97
drwxr-xr-x 2 root root 12288 May 31 03:06 bin
drwxr-xr-x 4 root root 1024 Aug 2 09:15 boot
drwxr-xr-x 19 root root 4000 Aug 3 16:27 dev
drwxr-xr-x 102 root root 4096 Aug 2 09:14 etc
drwxr-xr-x 4 root root 4096 Sep 1 2017 home
lrwxrwxrwx 1 root root 33 Aug 2 09:14 initrd.img -> boot/initrd.img-4.4.0-130-generic
lrwxrwxrwx 1 root root 33 May 31 03:07 initrd.img.old -> boot/initrd.img-4.4.0-127-generic
drwxr-xr-x 23 root root 4096 May 15 09:39 lib
drwxr-xr-x 2 root root 4096 May 15 09:19 lib64
drwx------ 2 root root 16384 Sep 1 2017 lost+found
drwxr-xr-x 3 root root 4096 Sep 1 2017 media
drwxr-xr-x 2 root root 4096 Jul 19 2016 mnt
drwxr-xr-x 3 root root 4096 May 20 02:46 opt
drwxrwxr-x+ 4 www-data www-data 4096 Aug 2 14:24 PALogs
dr-xr-xr-x 226 root root 0 Aug 3 16:27 proc
drwx------ 4 root root 4096 Aug 1 18:15 root
drwxr-xr-x 27 root root 980 Aug 3 16:28 run
drwxr-xr-x 2 root root 12288 May 31 03:06 sbin
drwxr-xr-x 2 root root 4096 May 15 09:40 snap
drwxr-xr-x 2 root root 4096 Jul 19 2016 srv
dr-xr-xr-x 13 root root 0 Aug 3 16:28 sys
drwxrwxrwt 9 root root 4096 Aug 3 16:27 tmp
drwxr-xr-x 10 root root 4096 Sep 1 2017 usr
drwxr-xr-x 14 root root 4096 Sep 1 2017 var
lrwxrwxrwx 1 root root 30 Aug 2 09:14 vmlinuz -> boot/vmlinuz-4.4.0-130-generic
lrwxrwxrwx 1 root root 30 May 31 03:07 vmlinuz.old -> boot/vmlinuz-4.4.0-127-generic
root@Expedition:/# cd /tmp
root@Expedition:/tmp# ls
systemd-private-6d5d630412964751893d41d9f04c1f39-systemd-timesyncd.service-2nvV8R vmware-root
root@Expedition:/tmp# ls -l
total 8
drwx------ 3 root root 4096 Aug 3 16:27 systemd-private-6d5d630412964751893d41d9f04c1f39-systemd-timesyncd.service-2nvV8R
drwx------ 2 root root 4096 Aug 3 16:27 vmware-root
root@Expedition:/tmp#

I just ran the job again and got the error file.  Sending it now.

I wanted to close out this topic with the solution Didac found this morning.  He noticed that the following was set in the /etc/mysql/my.cnf file:

 

bind-address = 127.0.0.1

 

That line should be commented out instead, like this:

 

#bind-address = 127.0.0.1

 

Once that change was made everything started working again.  Didac spent a lot of time with me over the phone to get this resolved.  His support dedication is superb.  Thank you Didac!

Thank you, working fine

L3 Networker

I had this problem too on Expedition 1.0.7.

Similar to the solution below I hard-coded the real (non-localhost) address to the bind-address line of /etc/mysql/my.cnf.

Don't forget sudo service mysql restart.

For me its not working, but I get the pendig at the Dashboard.

Its not working with remarked : 127.0.01 nor with the real Host IP.

I get in the /tmp/error_logCoCo log:

 


(/opt/Spark/spark/bin/spark-submit --class com.paloaltonetworks.tbd.LogCollectorCompacter --deploy-mode client --supervise /var/www/html/OS/spark/packages/LogCoCo-1.3.0-SNAPSHOT.jar MLServer='172.30.104.33', master='local[3]', debug='false', taskID='8', user='admin', dbUser='root', dbPass='paloalto', dbServer='172.30.104.33:3306', timeZone='Europe/Helsinki', mode='Expedition', input=0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_24_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_26_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_12_03_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_27_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_28_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_29_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_23_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_22_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_25_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_21_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_12_02_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_30_last_calendar_day.csv, output='/home/www-data/connections.parquet', tempFolder='/home/www-data'; echo /data/SnifferPalo_traffic_2018_11_24_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_26_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_12_03_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_27_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_28_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_29_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_23_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_22_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_25_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_21_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_12_02_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_30_last_calendar_day.csv; )>> "/tmp/error_logCoCo" 2>>/tmp/error_logCoCo &
 ---- CREATING SPARK Session:
          warehouseLocation:/tmp/spark-warehouse
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/Spark/extraLibraries/slf4j-nop-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/Spark/spark-2.1.1-bin-hadoop2.7/jars/slf4j-log4j12-1.7.16.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.helpers.NOPLoggerFactory]
+--------------------+-----------+--------+--------------------+
|             rowLine|   fwSerial|panosver|             csvpath|
+--------------------+-----------+--------+--------------------+
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
+--------------------+-----------+--------+--------------------+

8.1.0:/data/SnifferPalo_traffic_2018_11_29_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_12_02_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_24_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_23_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_26_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_21_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_28_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_12_03_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_27_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_30_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_22_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_25_last_calendar_day.csv
LogCollector&Compacter called with the following parameters:
     Parameters for execution
          Master[processes]:............  local[3]
          User:.........................  admin
          debug:........................  false
     Parameters for Job Connections
          Task ID:......................  8
          My IP:........................  172.30.104.33
          Expedition IP:................  172.30.104.33:3306
          Time Zone:....................  Europe/Helsinki
          dbUser (dbPassword):..........  root (************)
          projectName:..................  demo
     Parameters for Data Sources
          App Categories (source):........ (Expedition)
          CSV Files Path:.................0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_24_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_26_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_12_03_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_27_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_28_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_29_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_23_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_22_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_25_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_21_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_12_02_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_30_last_calendar_day.csv
          Parquet output path:..........  file:///home/www-data/connections.parquet
          Temporary folder:.............  /home/www-data
 ---- AppID DB LOAD:
          Application Categories loading...
     DONE

Logs of format 7.1.x NOT found
Logs of format 8.0.2 NOT found
Logs of format 8.1.0-beta17 NOT found
Logs of format 8.1.0 found
Logs of format 8.1.0-beta17 NOT found
Size of trafficExtended: 50 MB
[Stage 54:>                                                       (0 + 3) / 246]Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 54.0 failed 1 times, most recent failure: Lost task 1.0 in stage 54.0 (TID 1148, localhost, executor driver): org.apache.spark.SparkException: Failed to execute user defined function(anonfun$18: (string) => bigint)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown Source)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
        at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
        at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
        at org.apache.spark.scheduler.Task.run(Task.scala:99)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.NumberFormatException: For input string: "fe80::340b:b764:f9ad:a59a"
        at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
        at java.lang.Integer.parseInt(Integer.java:580)
        at java.lang.Integer.parseInt(Integer.java:615)
        at scala.collection.immutable.StringLike$class.toInt(StringLike.scala:272)
        at scala.collection.immutable.StringOps.toInt(StringOps.scala:29)
        at com.paloaltonetworks.tbd.LogCollectorCompacter$.com$paloaltonetworks$tbd$LogCollectorCompacter$$IPv4ToLong$1(LogCollectorCompacter.scala:279)
        at com.paloaltonetworks.tbd.LogCollectorCompacter$$anonfun$18.apply(LogCollectorCompacter.scala:1002)
        at com.paloaltonetworks.tbd.LogCollectorCompacter$$anonfun$18.apply(LogCollectorCompacter.scala:1002)
        ... 13 more

Driver stacktrace:
        at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
        at scala.Option.foreach(Option.scala:257)
        at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1925)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1938)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1951)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1965)
        at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
        at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
        at com.paloaltonetworks.tbd.LogCollectorCompacter$.main(LogCollectorCompacter.scala:1156)
        at com.paloaltonetworks.tbd.LogCollectorCompacter.main(LogCollectorCompacter.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:743)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:187)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:212)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:126)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: org.apache.spark.SparkException: Failed to execute user defined function(anonfun$18: (string) => bigint)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown Source)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
        at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
        at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
        at org.apache.spark.scheduler.Task.run(Task.scala:99)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.NumberFormatException: For input string: "fe80::340b:b764:f9ad:a59a"
        at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
        at java.lang.Integer.parseInt(Integer.java:580)
        at java.lang.Integer.parseInt(Integer.java:615)
        at scala.collection.immutable.StringLike$class.toInt(StringLike.scala:272)
        at scala.collection.immutable.StringOps.toInt(StringOps.scala:29)
        at com.paloaltonetworks.tbd.LogCollectorCompacter$.com$paloaltonetworks$tbd$LogCollectorCompacter$$IPv4ToLong$1(LogCollectorCompacter.scala:279)
        at com.paloaltonetworks.tbd.LogCollectorCompacter$$anonfun$18.apply(LogCollectorCompacter.scala:1002)
        at com.paloaltonetworks.tbd.LogCollectorCompacter$$anonfun$18.apply(LogCollectorCompacter.scala:1002)
        ... 13 more
/data/SnifferPalo_traffic_2018_11_24_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_26_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_12_03_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_27_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_28_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_29_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_23_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_22_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_25_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_21_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_12_02_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_30_last_calendar_day.csv

 

 

Any Ideas?

Gernot

For me its not working, but I get the pendig at the Dashboard.

Its not working with remarked : loopback-IP nor with the Host IP

 

I get in the /tmp/error_logCoCo log:

 


(/opt/Spark/spark/bin/spark-submit --class com.paloaltonetworks.tbd.LogCollectorCompacter --deploy-mode client --supervise /var/www/html/OS/spark/packages/LogCoCo-1.3.0-SNAPSHOT.jar MLServer='172.30.104.33', master='local[3]', debug='false', taskID='8', user='admin', dbUser='root', dbPass='paloalto', dbServer='172.30.104.33:3306', timeZone='Europe/Helsinki', mode='Expedition', input=0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_24_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_26_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_12_03_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_27_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_28_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_29_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_23_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_22_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_25_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_21_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_12_02_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_30_last_calendar_day.csv, output='/home/www-data/connections.parquet', tempFolder='/home/www-data'; echo /data/SnifferPalo_traffic_2018_11_24_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_26_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_12_03_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_27_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_28_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_29_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_23_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_22_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_25_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_21_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_12_02_last_calendar_day.csv;  echo /data/SnifferPalo_traffic_2018_11_30_last_calendar_day.csv; )>> "/tmp/error_logCoCo" 2>>/tmp/error_logCoCo &
 ---- CREATING SPARK Session:
          warehouseLocation:/tmp/spark-warehouse
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/Spark/extraLibraries/slf4j-nop-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/Spark/spark-2.1.1-bin-hadoop2.7/jars/slf4j-log4j12-1.7.16.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.helpers.NOPLoggerFactory]
+--------------------+-----------+--------+--------------------+
|             rowLine|   fwSerial|panosver|             csvpath|
+--------------------+-----------+--------+--------------------+
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
|0009C100289:8.1.0...|0009C100289|   8.1.0|/data/SnifferPalo...|
+--------------------+-----------+--------+--------------------+

8.1.0:/data/SnifferPalo_traffic_2018_11_29_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_12_02_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_24_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_23_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_26_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_21_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_28_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_12_03_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_27_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_30_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_22_last_calendar_day.csv,/data/SnifferPalo_traffic_2018_11_25_last_calendar_day.csv
LogCollector&Compacter called with the following parameters:
     Parameters for execution
          Master[processes]:............  local[3]
          User:.........................  admin
          debug:........................  false
     Parameters for Job Connections
          Task ID:......................  8
          My IP:........................  172.30.104.33
          Expedition IP:................  172.30.104.33:3306
          Time Zone:....................  Europe/Helsinki
          dbUser (dbPassword):..........  root (************)
          projectName:..................  demo
     Parameters for Data Sources
          App Categories (source):........ (Expedition)
          CSV Files Path:.................0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_24_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_26_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_12_03_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_27_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_28_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_29_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_23_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_22_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_25_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_21_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_12_02_last_calendar_day.csv,0009C100289:8.1.0:/data/SnifferPalo_traffic_2018_11_30_last_calendar_day.csv
          Parquet output path:..........  file:///home/www-data/connections.parquet
          Temporary folder:.............  /home/www-data
 ---- AppID DB LOAD:
          Application Categories loading...
     DONE

Logs of format 7.1.x NOT found
Logs of format 8.0.2 NOT found
Logs of format 8.1.0-beta17 NOT found
Logs of format 8.1.0 found
Logs of format 8.1.0-beta17 NOT found
Size of trafficExtended: 50 MB
[Stage 54:>                                                       (0 + 3) / 246]Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 54.0 failed 1 times, most recent failure: Lost task 1.0 in stage 54.0 (TID 1148, localhost, executor driver): org.apache.spark.SparkException: Failed to execute user defined function(anonfun$18: (string) => bigint)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown Source)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
        at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
        at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
        at org.apache.spark.scheduler.Task.run(Task.scala:99)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.NumberFormatException: For input string: "fe80::340b:b764:f9ad:a59a"
        at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
        at java.lang.Integer.parseInt(Integer.java:580)
        at java.lang.Integer.parseInt(Integer.java:615)
        at scala.collection.immutable.StringLike$class.toInt(StringLike.scala:272)
        at scala.collection.immutable.StringOps.toInt(StringOps.scala:29)
        at com.paloaltonetworks.tbd.LogCollectorCompacter$.com$paloaltonetworks$tbd$LogCollectorCompacter$$IPv4ToLong$1(LogCollectorCompacter.scala:279)
        at com.paloaltonetworks.tbd.LogCollectorCompacter$$anonfun$18.apply(LogCollectorCompacter.scala:1002)
        at com.paloaltonetworks.tbd.LogCollectorCompacter$$anonfun$18.apply(LogCollectorCompacter.scala:1002)
        ... 13 more

Driver stacktrace:
        at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
        at scala.Option.foreach(Option.scala:257)
        at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1925)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1938)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1951)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1965)
        at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
        at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
        at com.paloaltonetworks.tbd.LogCollectorCompacter$.main(LogCollectorCompacter.scala:1156)
        at com.paloaltonetworks.tbd.LogCollectorCompacter.main(LogCollectorCompacter.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:743)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:187)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:212)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:126)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: org.apache.spark.SparkException: Failed to execute user defined function(anonfun$18: (string) => bigint)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown Source)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
        at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
        at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
        at org.apache.spark.scheduler.Task.run(Task.scala:99)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.NumberFormatException: For input string: "fe80::340b:b764:f9ad:a59a"
        at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
        at java.lang.Integer.parseInt(Integer.java:580)
        at java.lang.Integer.parseInt(Integer.java:615)
        at scala.collection.immutable.StringLike$class.toInt(StringLike.scala:272)
        at scala.collection.immutable.StringOps.toInt(StringOps.scala:29)
        at com.paloaltonetworks.tbd.LogCollectorCompacter$.com$paloaltonetworks$tbd$LogCollectorCompacter$$IPv4ToLong$1(LogCollectorCompacter.scala:279)
        at com.paloaltonetworks.tbd.LogCollectorCompacter$$anonfun$18.apply(LogCollectorCompacter.scala:1002)
        at com.paloaltonetworks.tbd.LogCollectorCompacter$$anonfun$18.apply(LogCollectorCompacter.scala:1002)
        ... 13 more
/data/SnifferPalo_traffic_2018_11_24_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_26_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_12_03_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_27_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_28_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_29_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_23_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_22_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_25_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_21_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_12_02_last_calendar_day.csv
/data/SnifferPalo_traffic_2018_11_30_last_calendar_day.csv

 

 

Any Ideas?

Gernot

Thanks for the report.

 

The issue you are finding is that the current version of the ML package is not supporting IPv6.

We are working on the next version of the package to support IPv6 for loading and Rule Enrichment and Rule Learning.

Ah IPv6 is the Issue?

I will try to modify the Logs and remove the IPv6 Logging entries.

Many thanks for that very quick information.

Kind Regards

Gernot

  • 1 accepted solution
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