Hi Aravindh,
spark.streaming.receiver.maxRate is per receiver. You should multiply with
number of receivers with max rate.
Regards,
Sai
On Mon, Sep 19, 2016 at 9:31 AM, Aravindh [via Apache Spark User List] <
ml-node+s1001560n27754...@n3.nabble.com> wrote:
> I am trying to throttle my spark c
Hi ,
I have primary key on sql table iam trying to insert Dataframe into table
using insertIntoJDBC.
I could see failure instances in logs but still spark job is getting
successful. Do you know how can we handle in code to make it fail?
16/09/19 18:52:51 INFO TaskSetManager: Starting task 0.
Hi,
try this conf
val sc = new SparkContext(conf)
sc.hadoopConfiguration.setBoolean("parquet.enable.summary-metadata", false)
Regards,
Sai Ganesh
On Thu, Sep 15, 2016 at 11:34 PM, gaurav24 [via Apache Spark User List] <
ml-node+s1001560n27738...@n3.nabble.com> wrote:
> Hi Rok,
>
> facing sim
Hi,
You can refer HDinsight link. It has working example for cloud based
eventhub-sparkstreaming application
https://azure.microsoft.com/en-us/documentation/articles/hdinsight-apache-spark-eventhub-streaming/
Regards,
Sai
On Thu, Sep 15, 2016 at 10:44 AM, kiaia [via Apache Spark User List]
you can livy to submit the spark jobs to remotely
http://gethue.com/how-to-use-the-livy-spark-rest-job-server-api-for-submitting-batch-jar-python-and-streaming-spark-jobs/
Regards,
Sai Ganesh
On Tue, Sep 6, 2016 at 1:24 PM, neil90 [via Apache Spark User List] <
ml-node+s1001560n27668...@n3.nabbl
Hello
I am using Azure Blob storage for Wal persistence. Iam getting below
warnings in driver logs.
Is it it something related to Compatibility/throttling issues with storage?
java.lang.IllegalStateException: File exists and there is no append support!
at
org.apache.spark.streaming.util.