Deepak
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On Sat, Mar 17, 2018 at 2:56 AM, Shawn Heisey <apa...@elyograg.org> wrote:

> On 3/16/2018 2:21 PM, Deepak Goel wrote:
> > I wanted to test how many max connections can Solr handle concurrently.
> > Also I would have to implement an 'connection pooling' of the
> client-object
> > connections rather than a single connection thread
> >
> > However a single client object with thousands of queries coming in would
> > surely become a bottleneck. I can test this scenario too.
>
> Handling thousands of simultaneous queries is NOT something you can
> expect a single Solr server to do.  It's not going to happen.  It
> wouldn't happen with ES, either.  Handling that much load requires load
> balancing to a LOT of servers.  The server would much more of a
> bottleneck than the client.
>
> > The problem is the max throughput which I can get on the machine is
> around
> > 28 tps, even though I increase the load further & only 65% CPU is
> utilised
> > (there is still 35% which is not being used). This clearly indicates the
> > software is a problem as there is enough hardware resources.
>
> If your code is creating a client object before every single query, that
> could be part of the issue.  The benchmark code should be using the same
> client for all requests.  I really don't know how long it takes to
> create HttpSolrClient objects, but I don't imagine that it's super-fast.
>
> What version of SolrJ were you using?
>
> Depending on the SolrJ version you may need to create the client with a
> custom HttpClient object in order to allow it to handle plenty of
> threads.  This is how I create client objects in my SolrJ code:
>
>   RequestConfig rc = RequestConfig.custom().setConnectTimeout(2000)
>     .setSocketTimeout(60000).build();
>   CloseableHttpClient httpClient =
> HttpClients.custom().setDefaultRequestConfig(rc).setMaxConnPerRoute(1024)
>     .setMaxConnTotal(4096).disableAutomaticRetries().build();
>
>   SolrClient sc = new HttpSolrClient.Builder().withBaseSolrUrl(solrUrl)
>     .withHttpClient(httpClient).build();
>
> I tried the above suggestion. The throughput and utilisation remain the
same (they dont increase even if I increase the load). The response time
comes down.







*SoftwareThroughput (/sec)Response Time (msec)Utilization (%CPU)UnTuned
(Windows)27.8142665UnTuned (Linux)Partially Tuned (Linux)Partially Tuned
(Windows)28.11.10560 *I am going to give your suggestion a spin on Linux
next (This might take a day or two)



> Thanks,
> Shawn
>
>

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