I had changed the bulk size and the concurrent bulks, but I had changed the
flush interval in the other way round..(/facepalm) I will try it. thank
you!!
El 19/03/2014 02:23, "[email protected]" <[email protected]>
escribió:

> You can change the parameters bulk_size from 100 to a higher value,
> max_concurrent_bulk from 1 to a higher value, and disable flush_interval
> from 5s to -1 to increase wikipedia river bulk performance. Also make sure
> the bzip2 file is downloading quick enough over the wire, which is often
> not the case (some KB/sec here). Otherwise download it to the local file
> system and change url parameter to this file.
>
> The cluster stats show the Lucene indexing time. If you want overall
> indexing time, you should take measurements at client side.
>
> Jörg
>
>
> On Tue, Mar 18, 2014 at 10:59 PM, jorge canellas <
> [email protected]> wrote:
>
>> Hi!
>>
>> That was something that I was thinking since the indexing time shown in
>> the indexing statistic is much lower than the real time the process is
>> running. Each 5 seconds that the process is running, only a bit more than a
>> second is spent indexing.
>> I was thinking on parsing the wikipedia dumps manually and then use the
>> bulk api to index them.
>> Only one question: the indexing time shown in the stats of the cluster
>> takes into account the time used to choose the shard, send the document
>> through the network, analyze the document and write the terms? or only the
>> time spent writting the terms in the index? I am asking this because I am
>> interested on the indexing performance of Elasricsearch, and I could use
>> this time and forget the time spent by the river parsing the pages of the
>> wikipedia.
>> El 18/03/2014 20:32, "Ivan Brusic" <[email protected]> escribió:
>>
>>>  It all depends on where the bottleneck is. A river, by design, runs on
>>> only one node. Perhaps Elasticsearch is quickly indexing the content, but
>>> the Wikipedia ingestion is the slowdown. Is the Wikipedia indexer threaded
>>> or are all the bulks being executed on one thread? The BulkProcessor
>>> supports multithreading.
>>>
>>> Have you modified any of the default settings? In particular the merge
>>> settings and throttling. Elasticsearch has low defaults for throttling out
>>> of the box. If you have fast disks, you can easily raise the values. Are
>>> you searching on the index while it is being built? If you are just
>>> building the index, you can increase the number of segments and/or reduce
>>> the amount of merging done at once. But it all depends on where the
>>> bottleneck is. If you disk performance is fine, you might need to look
>>> elsewhere.
>>>
>>> Cheers,
>>>
>>> Ivan
>>>
>>>
>>> On Tue, Mar 18, 2014 at 10:52 AM, jorge canellas <
>>> [email protected]> wrote:
>>>
>>>> Hi!
>>>>
>>>> I am trying to index the wikipedia dumps (downloaded and uncompressed)
>>>> using the wikipedia river, but it takes about 6 hours in the cluster.
>>>> I have increased the number of nodes and primary shards from 5 to 8,
>>>> but the performance does not increase.
>>>>
>>>>    - I have set the refresh time to -1, the number of replicas to 0,
>>>>    increased the amount of memory from 256MB/1GB to 3GB/4GB, allowed the
>>>>    mlockall, and set the buffer to 30% from 10%.
>>>>    - I have changed the river settings increasing the bulk_size from
>>>>    100 to 10k, refresh interval is set to 1s
>>>>    - I have changed the mapping to only index title and text. And set
>>>>    _source to false.
>>>>
>>>>
>>>> I do not know what else can I modify to increase the indexing ratio, at
>>>> this moment it is indexing about 120 docs/sec.
>>>>
>>>> Any ideas?
>>>>
>>>> Kind regards,
>>>>
>>>> Jorge
>>>>
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