Ok I managed to sort that one out.
This is what I am facing
val sparkConf = new SparkConf().
setAppName(sparkAppName).
set("spark.driver.allowMultipleContexts", "true").
set("spark.hadoop.validateOutputSpecs", "false")
// change the values accordingly.
sparkConf.set("sparkDefaultParllelism",
sparkDefaultParallelismValue)
sparkConf.set("sparkSerializer", sparkSerializerValue)
sparkConf.set("sparkNetworkTimeOut", sparkNetworkTimeOutValue)
// If you want to see more details of batches please increase
the value
// and that will be shown UI.
sparkConf.set("sparkStreamingUiRetainedBatches",
sparkStreamingUiRetainedBatchesValue)
sparkConf.set("sparkWorkerUiRetainedDrivers",
sparkWorkerUiRetainedDriversValue)
sparkConf.set("sparkWorkerUiRetainedExecutors",
sparkWorkerUiRetainedExecutorsValue)
sparkConf.set("sparkWorkerUiRetainedStages",
sparkWorkerUiRetainedStagesValue)
sparkConf.set("sparkUiRetainedJobs", sparkUiRetainedJobsValue)
sparkConf.set("enableHiveSupport",enableHiveSupportValue)
sparkConf.set("spark.streaming.stopGracefullyOnShutdown","true")
sparkConf.set("spark.streaming.receiver.writeAheadLog.enable",
"true")
sparkConf.set("spark.streaming.driver.writeAheadLog.closeFileAfterWrite",
"true")
sparkConf.set("spark.streaming.receiver.writeAheadLog.closeFileAfterWrite",
"true")
var sqltext = ""
val batchInterval = 2
val streamingContext = new StreamingContext(sparkConf,
Seconds(batchInterval))
With the above settings, Spark streaming works fine. *However, after
adding the first line below (in red)*
*val sparkContext = new SparkContext(sparkConf)*
val HiveContext = new HiveContext(streamingContext.sparkContext)
I get the following errors:
16/09/08 14:02:32 ERROR JobScheduler: Error running job streaming job
1473339752000 ms.0
org.apache.spark.SparkException: Job aborted due to stage failure: Task 1
in stage 0.0 failed 4 times, most recent failure: Lost task 1.3 in stage
0.0 (TID 7, 50.140.197.217): java.io.IOException:
*org.apache.spark.SparkException: Failed to get broadcast_0_piece0 of
broadcast_0* at
org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1260)
at
org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:174)
at
org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:65)
at
org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:65)
at
org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:89)
at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:67)
at org.apache.spark.scheduler.Task.run(Task.scala:85)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.spark.SparkException: Failed to get
broadcast_0_piece0 of broadcast_0
Hm any ideas?
Thanks
Dr Mich Talebzadeh
LinkedIn *
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<https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
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such loss, damage or destruction.
On 8 September 2016 at 12:28, Mich Talebzadeh <mich.talebza...@gmail.com>
wrote:
>
> Hi,
>
> This may not be feasible in Spark streaming.
>
> I am trying to create a HiveContext in Spark streaming within the
> streaming context
>
> // Create a local StreamingContext with two working thread and batch
> interval of 2 seconds.
>
> val sparkConf = new SparkConf().
> setAppName(sparkAppName).
> set("spark.driver.allowMultipleContexts", "true").
> set("spark.hadoop.validateOutputSpecs", "false")
> .....
>
> Now try to create an sc
>
> val sc = new SparkContext(sparkConf)
> val HiveContext = new org.apache.spark.sql.hive.HiveContext(sc)
>
> This is accepted but it creates two spark jobs
>
>
> [image: Inline images 1]
>
> And basically it goes to a waiting state
>
> Any ideas how one can create a HiveContext within Spark streaming?
>
> Thanks
>
>
>
>
>
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn *
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> 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.
>
>
>
