We are using the older receiver based approach, the number of partitions is 1
(we have a single node kafka) and we use single thread per topic still we have
the problem. Please see the API we use. All 8 spark jobs use same group name –
is that a problem?
val topicMap = topics.split(",").map((_, numThreads.toInt)).toMap - Number of
threads used here is 1
val searches = KafkaUtils.createStream(ssc, zkQuorum, group, topicMap).map(line
=> parse(line._2).extract[Search])
Regards,
Vivek M
From: Bryan [mailto:bryan.jeff...@gmail.com]
Sent: 24 December 2015 17:20
To: Vivek Meghanathan (WT01 - NEP) <vivek.meghanat...@wipro.com>;
user@spark.apache.org
Subject: RE: Spark Streaming + Kafka + scala job message read issue
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<http://go.microsoft.com/fwlink/?LinkId=550987> for
Windows 10 phone
From: vivek.meghanat...@wipro.com<mailto:vivek.meghanat...@wipro.com>
Sent: Thursday, December 24, 2015 5:22 AM
To: user@spark.apache.org<mailto: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
The information contained in this electronic message and any attachments to
this message are intended for the exclusive use of the addressee(s) and may
contain proprietary, confidential or privileged information. If you are not the
intended recipient, you should not disseminate, distribute or copy this e-mail.
Please notify the sender immediately and destroy all copies of this message and
any attachments. WARNING: Computer viruses can be transmitted via email. The
recipient should check this email and any attachments for the presence of
viruses. The company accepts no liability for any damage caused by any virus
transmitted by this email. www.wipro.com<http://www.wipro.com>
The information contained in this electronic message and any attachments to
this message are intended for the exclusive use of the addressee(s) and may
contain proprietary, confidential or privileged information. If you are not the
intended recipient, you should not disseminate, distribute or copy this e-mail.
Please notify the sender immediately and destroy all copies of this message and
any attachments. WARNING: Computer viruses can be transmitted via email. The
recipient should check this email and any attachments for the presence of
viruses. The company accepts no liability for any damage caused by any virus
transmitted by this email. www.wipro.com
