[GitHub] medined commented on issue #624: Performance with midsize table size

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medined commented on issue #624: Performance with midsize table size
URL: https://github.com/apache/accumulo/issues/624#issuecomment-417226099
 
 
   how many threads are running at the same time?
   
   On Thu, Aug 30, 2018 at 2:49 AM Noam Ivri <no...@github.com> wrote:
   
   > I have a table with about 4M rows in Accumulo, which is grouped to about
   > 90K entities with different rowIds, and it takes about 10 sec to scan all
   > the table from the Java API when I scan with large rowId range or ranges. I
   > have also tried BatchScan ranges where each rowId is its own range. Scan
   > -np on the Accumulo shell gives similar result.
   > I have tried it with different configurations on very strong machines @aws
   > <https://github.com/aws> and the performance does not get better than
   > about 10s. Is that reasonable? It seems very slow but maybe that is what
   > Accumulo can do. Does anyone have experience with such queries? Using:
   > Accumulo 1.7.4 Hadoop 2.8.1 4vCPU, 16GB RAM (AWS m5d.xlarge), 5 servers
   > running Accumulo tservers and Hadoop data nodes, one name node running
   > Accumulo master.
   >
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