factors and provide a few simple
> formulas. More... |
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> >
> > Naidu Saladi
> >
> > From: Daniel Compton
> > To: users@kafka.apache.org
> > Sent: Wedne
s to
> explain a few important determining factors and provide a few simple
> formulas. More... |
> > | |
> > | View on blog.confluent.io | Preview by Yahoo |
> > | |
> > | |
> >
> > Naidu Saladi
> >
> > From: Daniel Compton
> > T
tant determining factors and provide a few simple formulas. More... |
> | |
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>
> Naidu Saladi
>
> From: Daniel Compton
> To: users@kafka.apache.org
> Sent: Wednesday, May 20, 2015 8:21
explain a few
important determining factors and provide a few simple formulas. More... |
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Naidu Saladi
From: Daniel Compton
To: users@kafka.apache.org
Sent: Wednesday, May 20, 2015 8:21 PM
Subject: Re: Optimal number of
One of the beautiful things about Kafka is that it uses the disk and OS
disk caching really efficiently.
Because Kafka writes messages to a contiguous log, it needs very little
seek time to move the write head to the next point. Similarly for reading,
if the consumers are mostly up to date with th
With knowing the actual implementation details, I would get guess more
partitions implies more parallelism, more concurrency, more threads, more
files to write to - all of which will contribute to more CPU load.
Partitions allow you to scale by partitioning the topic across multiple
brokers. Parti
