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From Mich Talebzadeh <mich.talebza...@gmail.com>
Subject Re: Scanner timeouts
Date Fri, 28 Oct 2016 16:54:46 GMT
This is an example I got

warning: there were two deprecation warnings; re-run with -deprecation for
details
rdd1: org.apache.spark.rdd.RDD[(String, String)] = MapPartitionsRDD[77] at
map at <console>:151
defined class columns
dfTICKER: org.apache.spark.sql.Dataset[columns] = [KEY: string, TICKER:
string]
org.apache.hadoop.hbase.client.RetriesExhaustedException: Failed after
attempts=36, exceptions:
*Fri Oct 28 13:13:46 BST 2016, null, java.net.SocketTimeoutException:
callTimeout=60000, callDuration=68411: row
'MARKETDATAHBASE,,00000000000000' on table 'hbase:meta' *at
region=hbase:meta,,1.1588230740, hostname=rhes564,16201,1477246132044,
seqNum=0
  at
org.apache.hadoop.hbase.client.RpcRetryingCallerWithReadReplicas.throwEnrichedException(RpcRetryingCallerWithReadReplicas.java:276)
  at
org.apache.hadoop.hbase.client.ScannerCallableWithReplicas.call(ScannerCallableWithReplicas.java:210)
  at
org.apache.hadoop.hbase.client.ScannerCallableWithReplicas.call(ScannerCallableWithReplicas.java:60)
  at
org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithoutRetries(RpcRetryingCaller.java:210)



Dr Mich Talebzadeh



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On 28 October 2016 at 17:52, Pat Ferrel <pat@occamsmachete.com> wrote:

> I will check that, but if that is a server startup thing I was not aware I
> had to send it to the executors. So it’s like a connection timeout from
> executor code?
>
>
> On Oct 28, 2016, at 9:48 AM, Ted Yu <yuzhihong@gmail.com> wrote:
>
> How did you change the timeout(s) ?
>
> bq. timeout is currently set to 60000
>
> Did you pass hbase-site.xml using --files to Spark job ?
>
> Cheers
>
> On Fri, Oct 28, 2016 at 9:27 AM, Pat Ferrel <pat@occamsmachete.com> wrote:
>
> > Using standalone Spark. I don’t recall seeing connection lost errors, but
> > there are lots of logs. I’ve set the scanner and RPC timeouts to large
> > numbers on the servers.
> >
> > But I also saw in the logs:
> >
> >    org.apache.hadoop.hbase.client.ScannerTimeoutException: 381788ms
> > passed since the last invocation, timeout is currently set to 60000
> >
> > Not sure where that is coming from. Does the driver machine making
> queries
> > need to have the timeout config also?
> >
> > And why so large, am I doing something wrong?
> >
> >
> > On Oct 28, 2016, at 8:50 AM, Ted Yu <yuzhihong@gmail.com> wrote:
> >
> > Mich:
> > The OutOfOrderScannerNextException indicated problem with read from
> hbase.
> >
> > How did you know connection to Spark cluster was lost ?
> >
> > Cheers
> >
> > On Fri, Oct 28, 2016 at 8:47 AM, Mich Talebzadeh <
> > mich.talebzadeh@gmail.com>
> > wrote:
> >
> >> Looks like it lost the connection to Spark cluster.
> >>
> >> What mode you are using with Spark, Standalone, Yarn or others. The
> issue
> >> looks like a resource manager issue.
> >>
> >> I have seen this when running Zeppelin with Spark on Hbase.
> >>
> >> HTH
> >>
> >> Dr Mich Talebzadeh
> >>
> >>
> >>
> >> LinkedIn * https://www.linkedin.com/profile/view?id=
> >> AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> >> <https://www.linkedin.com/profile/view?id=
> AAEAAAAWh2gBxianrbJd6zP6AcPCCd
> >> OABUrV8Pw>*
> >>
> >>
> >>
> >> http://talebzadehmich.wordpress.com
> >>
> >>
> >> *Disclaimer:* Use it at your own risk. Any and all responsibility for
> any
> >> loss, damage or destruction of data or any other property which may
> arise
> >> from relying on this email's technical content is explicitly disclaimed.
> >> The author will in no case be liable for any monetary damages arising
> > from
> >> such loss, damage or destruction.
> >>
> >>
> >>
> >> On 28 October 2016 at 16:38, Pat Ferrel <pat@occamsmachete.com> wrote:
> >>
> >>> I’m getting data from HBase using a large Spark cluster with
> parallelism
> >>> of near 400. The query fails quire often with the message below.
> >> Sometimes
> >>> a retry will work and sometimes the ultimate failure results (below).
> >>>
> >>> If I reduce parallelism in Spark it slows other parts of the algorithm
> >>> unacceptably. I have also experimented with very large RPC/Scanner
> >> timeouts
> >>> of many minutes—to no avail.
> >>>
> >>> Any clues about what to look for or what may be setup wrong in my
> > tables?
> >>>
> >>> Job aborted due to stage failure: Task 44 in stage 147.0 failed 4
> times,
> >>> most recent failure: Lost task 44.3 in stage 147.0 (TID 24833,
> >>> ip-172-16-3-9.eu-central-1.compute.internal): org.apache.hadoop.hbase.
> >> DoNotRetryIOException:
> >>> Failed after retry of OutOfOrderScannerNextException: was there a rpc
> >>> timeout?+details
> >>> Job aborted due to stage failure: Task 44 in stage 147.0 failed 4
> times,
> >>> most recent failure: Lost task 44.3 in stage 147.0 (TID 24833,
> >>> ip-172-16-3-9.eu-central-1.compute.internal): org.apache.hadoop.hbase.
> >> DoNotRetryIOException:
> >>> Failed after retry of OutOfOrderScannerNextException: was there a rpc
> >>> timeout? at org.apache.hadoop.hbase.client.ClientScanner.next(
> >> ClientScanner.java:403)
> >>> at org.apache.hadoop.hbase.mapreduce.TableRecordReaderImpl.
> > nextKeyValue(
> >>> TableRecordReaderImpl.java:232) at org.apache.hadoop.hbase.
> >>> mapreduce.TableRecordReader.nextKeyValue(TableRecordReader.java:138)
> at
> >>>
> >>
> >
> >
>
>

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