Thanks for the response Pramod.
- My hdfs operator is running in single partition. With the input of
approx. 1000 msgs per sec. – I am not sure how to partition this operator ☹
- I am not really sure on how to check the bytes/sec. But, I hope It
will be huge, because my msg size in kafka is approx. 2kb. ===> input 1000
msgs per sec * 2kb == approx.. 2mb per sec [Rough calculation]
- And for your info, right now, using the below property I have the
set the memory for this operator to 20Gb. Which I feel is very huge.
<property>
<name>dt.operator.HDFS_operator.attr.MEMORY_MB</name>
<value>20480</value>
</property>
Please advice.
Thanks a lot.
Raja.
From: Pramod Immaneni <pra...@datatorrent.com>
Reply-To: "users@apex.apache.org" <users@apex.apache.org>
Date: Thursday, July 13, 2017 at 10:31 AM
To: "users@apex.apache.org" <users@apex.apache.org>
Subject: [EXTERNAL] Re: hdfs file write operator is increasing the latency -
resulting entire DAG to fail
Hi Raja,
How many partitions do you have for the file output operator and what would you
save your data write rate is in bytes/second.
Thanks
On Thu, Jul 13, 2017 at 8:13 AM, Raja.Aravapalli
<raja.aravapa...@target.com<mailto:raja.aravapa...@target.com>> wrote:
Team,
We have an apex application that is reading from Kafka and wring to HDFS.
The data flow for kafka topic is very huge… say 2500 messages per sec!!
The issue we are facing is:
The operator (which extends AbstractFileOutputOperator) is writing to hdfs is
building latency over time and failing eventually. Can someone pls share your
thoughts on how I can handle this ?
Thanks a lot.
Regards,
Raja.
