Hello Toby,
Sorry for the late reply. But, you have got appropriate answers from
the pros :)
Warm Regards,
Tariq
https://mtariq.jux.com/
cloudfront.blogspot.com
On Fri, Jan 25, 2013 at 9:45 AM, ramkrishna vasudevan <
ramkrishna.s.vasude...@gmail.com> wrote:
> @Toby
>
> If you wish to go the specified page you need to set the start row that
> needs to come as part of that page.
> So what i feel is implement a custom page filter and keep doing next() and
> display only those records that suits the page you clicked.
> and send them back to the client. Anyway the logic inside the filter
> should keep track of the number of records that passed by till you reach
> your concerned page and that should
> be based on the number of records on a page.
>
> Regards
> Ram
>
> On Fri, Jan 25, 2013 at 9:04 AM, Anoop Sam John <anoo...@huawei.com>
> wrote:
>
> > @Toby
> >
> > You mean to say that you need a mechanism for directly jumping to a page.
> > Say you are in page#1 (1-20) now and you want to jump to page#4(61-80)..
> > Yes this is not there in PageFilter...
> > The normal way of next page , next page will work fine as within the
> > server the next() calls on the scanner works this way...
> >
> > -Anoop-
> > ________________________________________
> > From: Toby Lazar [tla...@gmail.com]
> > Sent: Thursday, January 24, 2013 6:44 PM
> > To: user@hbase.apache.org
> > Subject: Re: paging results filter
> >
> > I don't see a way of specifying which page of resluts I want. For
> example,
> > if I want page 3 with page size of 20 (only results 41-60), I don't see
> how
> > PageFilter can be configued for that. Am I missing the obvious?
> >
> > Thanks,
> >
> > Toby
> >
> > On Thu, Jan 24, 2013 at 7:52 AM, Mohammad Tariq <donta...@gmail.com>
> > wrote:
> >
> > > I think you need
> > > PageFilter<
> > >
> >
> http://hbase.apache.org/apidocs/org/apache/hadoop/hbase/filter/PageFilter.html
> > > >
> > > .
> > >
> > > HTH
> > >
> > > Warm Regards,
> > > Tariq
> > > https://mtariq.jux.com/
> > > cloudfront.blogspot.com
> > >
> > >
> > > On Thu, Jan 24, 2013 at 6:20 PM, Toby Lazar <tla...@gmail.com> wrote:
> > >
> > > > Hi,
> > > >
> > > > I need to create a client function that allows paging of scan results
> > > > (initially return results 1-20, then click on page to to show results
> > > > 21-40, 41-60, etc.) without needing to remember the start rowkey. I
> > > > beleive that a filter would be far more efficient than implementing
> the
> > > > logic client-side. I couldn't find any OOTB filter for this
> > > functionality
> > > > so I wrote the class below. It seems to work fine for me, but can
> > anyone
> > > > comment if this approach makes sense? Is there another OOTB filter
> > that
> > > I
> > > > can use instead?
> > > >
> > > > Thank you,
> > > >
> > > > Toby
> > > >
> > > >
> > > >
> > > > import java.io.DataInput;
> > > > import java.io.DataOutput;
> > > > import java.io.IOException;
> > > > import org.apache.hadoop.hbase.filter.FilterBase;
> > > > public class PageOffsetFilter extends FilterBase {
> > > > private long startRowCount;
> > > > private long endRowCount;
> > > >
> > > > private int count = 0;
> > > > public PageOffsetFilter() {
> > > > }
> > > >
> > > > public PageOffsetFilter(long pageNumber, long pageSize) {
> > > >
> > > > if(pageNumber<1)
> > > > pageNumber=1;
> > > >
> > > > startRowCount = (pageNumber - 1) * pageSize;
> > > > endRowCount = (pageSize * pageNumber)-1;
> > > > }
> > > > @Override
> > > > public boolean filterAllRemaining() {
> > > > return count > endRowCount;
> > > > }
> > > > @Override
> > > > public boolean filterRow() {
> > > >
> > > > count++;
> > > > if(count <= startRowCount) {
> > > > return true;
> > > > } else {
> > > > return false;
> > > > }
> > > >
> > > > }
> > > >
> > > > @Override
> > > > public void readFields(DataInput dataInput) throws IOException {
> > > >
> > > > this.startRowCount = dataInput.readLong();
> > > > this.endRowCount = dataInput.readLong();
> > > > }
> > > > @Override
> > > > public void write(DataOutput dataOutput) throws IOException {
> > > > dataOutput.writeLong(startRowCount);
> > > > dataOutput.writeLong(endRowCount);
> > > > }
> > > >
> > > > }
> > > >
> > >
> >
>
