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From Bryan <bryan.jeff...@gmail.com>
Subject RE: Spark Streaming + Kafka + scala job message read issue
Date Thu, 24 Dec 2015 11:50:05 GMT
Are you using a direct stream consumer, or the older receiver based consumer? If the latter,
do the number of partitions you’ve specified for your topic match the number of partitions
in the topic on Kafka? 

That would be an possible cause – as you might receive all data from a given partition while
missing data from other partitions.

Regards,

Bryan Jeffrey

Sent from Outlook Mail for Windows 10 phone


From: vivek.meghanathan@wipro.com
Sent: Thursday, December 24, 2015 5:22 AM
To: user@spark.apache.org
Subject: Spark Streaming + Kafka + scala job message read issue

Hi All,


We are using Bitnami Kafka 0.8.2 + spark 1.5.2 in Google cloud platform. Our spark streaming
job(consumer) not receiving all the messages sent to the specific topic. It receives 1 out
of ~50 messages(added log in the job stream and identified). We are not seeing any errors
in the kafka logs. Unable to debug further from kafka layer. The console consumer shows the
INPUT topic is received in the console. it is not reaching the spark-kafka integration stream.
Any thoughts how to debug this issue. Another topic is working fine in same setup.
Again tried with spark 1.3.0, kafka 0.8.1.1 which is also has same issue. All these jobs are
working fine in our local lab servers
Regards,
Vivek M
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