How to speed up indexing by using Python API

Hi all:

Now , I am trying to index my logs by using the elasticsearch Python API,
but I only get about 600 records/s indexing speed.

but, on the same ES cluster, with the same data, logstash(redis -> logstash
-> elasticsearch) can index data at the speed about 3000records/s.

any advice on how to speed up indexing speed by using the Python API?

thanks very much.

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Hi,

what method are you using in your python script? Have you looked at
the bulk and streaming_bulk helpers in ealsticsearch-py?

http://elasticsearch-py.readthedocs.org/en/master/helpers.html

Hope this helps,
Honza

On Thu, May 22, 2014 at 11:09 AM, 潘飞 cnweike@gmail.com wrote:

Hi all:

Now , I am trying to index my logs by using the elasticsearch Python API,
but I only get about 600 records/s indexing speed.

but, on the same ES cluster, with the same data, logstash(redis -> logstash
-> elasticsearch) can index data at the speed about 3000records/s.

any advice on how to speed up indexing speed by using the Python API?

thanks very much.

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For more options, visit https://groups.google.com/d/optout.

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Hi,

use bulk indexing !
This will speed you up by at least an order of magnitude
em

On Thu, May 22, 2014 at 11:09 AM, 潘飞 [via Elasticsearch Users] <
ml-node+s115913n4056261h83@n3.nabble.com> wrote:

Hi all:

Now , I am trying to index my logs by using the elasticsearch Python API,
but I only get about 600 records/s indexing speed.

but, on the same ES cluster, with the same data, logstash(redis ->
logstash -> elasticsearch) can index data at the speed about 3000records/s.

any advice on how to speed up indexing speed by using the Python API?

thanks very much.

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