Re: [geomesa-users] How to more efficiently use geomesa to run query whi

[Jim Hughes <jnh5y@xxxxxxxx>]

Hi,

In general, when using Storm, you will want to find ways to distribute your computation so that you can use more than one bolt.  Can you say more about your spatial analysis?

In terms of the GeoMesa read performance, there are several factors.  Generally, GeoMesa will perform well with spatio-temporal queries.  If your query involves non-spatial, non-temporal attributes, you may be able to increase performance with our secondary attribute indexes.  Some factors will be related to the distribution of your data and your queries.  Your cloud's configuration and hardware will factor in as well.  Can you say something about your queries and the performance you are seeing? 

To see Accumulo's performance, you can visit the Accumulo monitor page hosted on the Accumulo master on port 50095.  As you make a scan, you should see feedback on the number of entries scanned and returned per second. 

How are you running Kafka and Storm?  If you are testing on one machine, I wonder if you may be running into memory trouble. 

If you can provide some more details, others on the list and I may be able to help more.

Thank you for your question,

Jim

On 02/28/2015 08:24 AM, 焦小超 wrote:

Hi,

     We use geomesa to perform spatial analysis in storm + kafka application, one kafka spout, one spatial analysis bolt. when we send more data in less time to kafka, the latency of spatial analysis bolt will higher and higher! In the func  exec of spatial analysis bolt, we invoke geomesa query process as the following code :

                    .....

                    featureSource.getFeatures(query)

                    .....

      We want to know which factors involved in geomesa's read performance?

      Thanks a lot!

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