Have you tried a smaller fetch size, such as 5k - 2k ? On Wed, Mar 18, 2015 at 12:22 PM, Mehak Mehta <meme...@cs.stonybrook.edu> wrote:
> Hi Jens, > > I have tried with fetch size of 10000 still its not giving any results. > My expectations were that Cassandra can handle a million rows easily. > > Is there any mistake in the way I am defining the keys or querying them. > > Thanks > Mehak > > On Wed, Mar 18, 2015 at 3:02 AM, Jens Rantil <jens.ran...@tink.se> wrote: > >> Hi, >> >> Try setting fetchsize before querying. Assuming you don't set it too >> high, and you don't have too many tombstones, that should do it. >> >> Cheers, >> Jens >> >> – >> Skickat från Mailbox <https://www.dropbox.com/mailbox> >> >> >> On Wed, Mar 18, 2015 at 2:58 AM, Mehak Mehta <meme...@cs.stonybrook.edu> >> wrote: >> >>> Hi, >>> >>> I have requirement to fetch million row as result of my query which is >>> giving timeout errors. >>> I am fetching results by selecting clustering columns, then why the >>> queries are taking so long. I can change the timeout settings but I need >>> the data to fetched faster as per my requirement. >>> >>> My table definition is: >>> *CREATE TABLE images.results (uuid uuid, analysis_execution_id varchar, >>> analysis_execution_uuid uuid, x double, y double, loc varchar, w double, h >>> double, normalized varchar, type varchar, filehost varchar, filename >>> varchar, image_uuid uuid, image_uri varchar, image_caseid varchar, >>> image_mpp_x double, image_mpp_y double, image_width double, image_height >>> double, objective double, cancer_type varchar, Area float, submit_date >>> timestamp, points list<double>, PRIMARY KEY ((image_caseid),Area,uuid));* >>> >>> Here each row is uniquely identified on the basis of unique uuid. But >>> since my data is generally queried based upon *image_caseid *I have >>> made it partition key. >>> I am currently using Java Datastax api to fetch the results. But the >>> query is taking a lot of time resulting in timeout errors: >>> >>> Exception in thread "main" >>> com.datastax.driver.core.exceptions.NoHostAvailableException: All host(s) >>> tried for query failed (tried: localhost/127.0.0.1:9042 >>> (com.datastax.driver.core.exceptions.DriverException: Timed out waiting for >>> server response)) >>> at >>> com.datastax.driver.core.exceptions.NoHostAvailableException.copy(NoHostAvailableException.java:84) >>> at >>> com.datastax.driver.core.DefaultResultSetFuture.extractCauseFromExecutionException(DefaultResultSetFuture.java:289) >>> at >>> com.datastax.driver.core.DefaultResultSetFuture.getUninterruptibly(DefaultResultSetFuture.java:205) >>> at >>> com.datastax.driver.core.AbstractSession.execute(AbstractSession.java:52) >>> at QueryDB.queryArea(TestQuery.java:59) >>> at TestQuery.main(TestQuery.java:35) >>> Caused by: com.datastax.driver.core.exceptions.NoHostAvailableException: >>> All host(s) tried for query failed (tried: localhost/127.0.0.1:9042 >>> (com.datastax.driver.core.exceptions.DriverException: Timed out waiting for >>> server response)) >>> at >>> com.datastax.driver.core.RequestHandler.sendRequest(RequestHandler.java:108) >>> at >>> com.datastax.driver.core.RequestHandler$1.run(RequestHandler.java:179) >>> at >>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >>> at >>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >>> at java.lang.Thread.run(Thread.java:744) >>> >>> Also when I try the same query on console even while using limit of 2000 >>> rows: >>> >>> cqlsh:images> select count(*) from results where >>> image_caseid='TCGA-HN-A2NL-01Z-00-DX1' and Area<100 and Area>20 limit 2000; >>> errors={}, last_host=127.0.0.1 >>> >>> Thanks and Regards, >>> Mehak >>> >>> >>> >>> >>> >>> >> >
