Re: Solr performance is slow with just 1GB of data indexed
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On Sat, Aug 22, 2015 at 9:31 PM, Zheng Lin Edwin Yeo
wrote:
> Hi,
>
> I'm using Solr 5.2.1, and I've indexed about 1GB of data into Solr.
>
> However, I find that clustering is exceeding slow after I index this 1GB of
> data. It took almost 30 seconds to return the cluster results when I set it
> to cluster the top 1000 records, and still take more than 3 seconds when I
> set it to cluster the top 100 records.
>
> Is this speed normal? Cos i understand Solr can index terabytes of data
> without having the performance impacted so much, but now the collection is
> slowing down even with just 1GB of data.
>
> Below is my clustering configurations in solrconfig.xml.
>
> startup="lazy"
> enable="${solr.clustering.enabled:true}"
> class="solr.SearchHandler">
>
>explicit
> 1000
>json
>true
> text
> null
>
> true
> true
> subject content tag
> true
>
> 20
>
> 20
>
> false
> 7
>
>
> edismax
>
>
> clustering
>
>
>
>
> Regards,
> Edwin
>
Optimal setup for multiple tools
Hello, My team has been working with SOLR for the last 2 years. We have two main indices: 1. documents -index and store main text -one record for each document 2. places (all of the geospatial places found in the documents above) -index but don't store main text -one record for each place. could have thousands in a single document but the ratio has seemed to come out to 6:1 places to documents We have several tools that query the above indices. One is just a standard search tool that returns documents filtered on keyword, temporal, and geospatial filters. Another is a geospatial tool that queries the places collection. We now have a requirement to provide document highlighting when querying in the geospatial tool. Does anyone have any suggestions/prior experience on how they would set up two collections that are essentially different "views" of the data? Also any tips on how to ensure that these two collections are "in sync" (meaning any documents indexed into the documents collection are also properly indexed in places)? Thanks alot, Jimmy Lin
