how many threads are running at the same time? On Thu, Aug 30, 2018 at 2:49 AM Noam Ivri <[email protected]> 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. > > — > You are receiving this because you are subscribed to this thread. > Reply to this email directly, view it on GitHub > <https://github.com/apache/accumulo/issues/624>, or mute the thread > <https://github.com/notifications/unsubscribe-auth/AACqRSetKNZLZ4_Wq4UhlEZadzX9kbsbks5uV4rbgaJpZM4WS3-A> > . > [ Full content available at: https://github.com/apache/accumulo/issues/624 ] This message was relayed via gitbox.apache.org for [email protected]
