nifi-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Joe Witt <>
Subject RE: [EXT] Re: NiFi Throughput and Slowness
Date Mon, 03 Jul 2017 18:30:18 GMT

It is really important to follow best practice configuration for placement
of repos to your underlying storage.  Configured well you can have hundreds
of MB/s sustained throughput per node.

Also be sure to take advantage of the record reader / writer capability if
appropriate for your flow.  Configured well hundreds you can achieve of
thousands of records per second through a series of enrichments, SQL based
queries, with transformation all with schema and format awareness while
many other flows happen at once.

Also, while the ram is awesome that you have the JVM might not be able to
take advantage of that well in a garbage collection friendly manner.
Consider dialing that way down to say 8GB.

If you have split text in there be sure it isn't splitting 10s of thousands
or more records at once.  You can do two phase splits and see much better

With that hardware sustained performance can be extremely high.  I'd say do
a few raid1 instead of raid5.  You can then partition the various
repositories of nifi to minimize the use of the same physical device and
maximize throughput and response time.   You'll also prob need 10Gb

And clustering is a powerful feature.  I'd avoid doing that until you have
the right fundamentals at play in a single node and and see both the
sustained throughout and transaction rate you'd expect.


On Jul 3, 2017 1:18 PM, "Karthik Kothareddy (karthikk) [CONT - Type 2]" <> wrote:


Thanks a lot for the suggestion, clustering is something that even I was
thinking of for a long time. Just wanted to see if anyone in the community
have similar problems and solutions they found.


-----Original Message-----
From: Richard St. John []
Sent: Monday, July 03, 2017 10:54 AM
Subject: [EXT] Re: NiFi Throughput and Slowness

Hi there,

In the beginning of our NiFi adoption, we faced similar issues. For us, we
clustered NiFi, limited the number of concurrent tasks for each processor
and added more logical partitions for content and provenance repositories.
Now, we easily processor million of flow files per minute on a 5-node
cluster with hundreds of processors in the data flow pipeline. When we need
to ingest more data or process it faster, we simply add more nodes.

First and foremost, clustering NiFi allows horizontal scaling: a must. It
seems counterintuitive, but limiting the number of concurrent tasks was a
major performance improvement. Doing so keeps the flow "balanced",
preventing hotspots within the flow pipeline.

I hope this helps


Richard St. John, PhD
141 National Business Pkwy, Suite 110
Annapolis Junction, MD 20701

On Jul 3, 2017, 12:53 PM -0400, Karthik Kothareddy (karthikk) [CONT - Type
2] <>, wrote:
> All,
> I am currently using NiFi 1.2.0 on a Linux (RHEL) machine. I am using a
single instance without any clustering. My machine has ~800GB of RAM and
2.5 TB of disk space (SSD’s with RAID5). I have set my Java heap space
values to below in “bootstrap.conf” file
> # JVM memory settings
> java.arg.2=-Xms40960m
> java.arg.3=-Xmx81920m
> # Some custom Configurations
> java.arg.7=-XX:ReservedCodeCacheSize=1024m
> java.arg.8=-XX:CodeCacheMinimumFreeSpace=10m
> java.arg.9=-XX:+UseCodeCacheFlushing
> Now, the problem that I am facing when I am stress testing this instance
is whenever the Read/Write of Data feeds reach the limit of 5GB (at least
that’s what I observed) the whole instance is running super slow meaning
the flowfiles are moving very slow in the queues. It is heavily affecting
the other Processor groups as well which are very simple flows. I tied to
read the system diagnostics at that point and see that all the usage is
below 20% including heap Usage, flowFile and content repository usage. I
tried to capture the status history of the Process Group at that particular
point and below are some results.
> From the above images it is obvious that the process group is working on
lot of IO at that point. Is there a way to increase the throughput of the
instance given my requirement which has tons of read/writes every hour.
Also to add all my repositories (flowfile , content and provenance) are on
the same disk. I tried to increase all the memory settings I possibly can
in both bootstrap.conf and , but no use the whole instance
is running very slow and is processing minimum amount of flowfiles. Just to
make sure I created a GenerateFlowfile processor when the system is slow
and to my surprise the rate of flow files generated is less that one per
minute (which should fill the queue in less than 5 secs under normal
circumstances). Any help on this would be much appreciated.
> Thanks
> Karthik

  • Unnamed multipart/alternative (inline, None, 0 bytes)
View raw message