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From ramkrishna vasudevan <ramkrishna.s.vasude...@gmail.com>
Subject Re: Questions about HBase
Date Wed, 05 Jun 2013 07:07:22 GMT
I get your point Pankaj.
Going thro the code to confirm it
    // Data index. We also read statistics about the block index written
after
    // the root level.
    dataBlockIndexReader.readMultiLevelIndexRoot(
        blockIter.nextBlockWithBlockType(BlockType.ROOT_INDEX),
        trailer.getDataIndexCount());

    // Meta index.
    metaBlockIndexReader.readRootIndex(
        blockIter.nextBlockWithBlockType(BlockType.ROOT_INDEX),
        trailer.getMetaIndexCount());

We read the root level of the multilevel index and the actual root index.
So as and when when we need new index blocks we will be hitting the disk
and your observation is correct.  Sorry if i had confused you in this.
The new version of HFile was mainly to address the concern in the previous
versoin where the entire indices was in memory.  The version V2 addressed
that concern like having the root level (something like metadata of the
indices) and from there you should be able to get new index blocks.
But there are chances that if you region size is small you may have only
one level and the entire thing may be in memory.

Regards
Ram


On Wed, Jun 5, 2013 at 11:56 AM, Pankaj Gupta <pankaj@brightroll.com> wrote:

> Sorry, forgot to mention that I added the log statements to the method
> readBlock in HFileReaderV2.java. I'm on hbase 0.94.2.
>
>
> On Tue, Jun 4, 2013 at 11:16 PM, Pankaj Gupta <pankaj@brightroll.com>
> wrote:
>
> > Some context on how I observed bloom filters being loaded constantly. I
> > added the following logging statements to HFileReaderV2.java:
> > }
> >         if (!useLock) {
> >           // check cache again with lock
> >           useLock = true;
> >           continue;
> >         }
> >
> >         // Load block from filesystem.
> >         long startTimeNs = System.nanoTime();
> >         HFileBlock hfileBlock =
> > fsBlockReader.readBlockData(dataBlockOffset,
> >             onDiskBlockSize, -1, pread);
> >         hfileBlock = dataBlockEncoder.diskToCacheFormat(hfileBlock,
> >             isCompaction);
> >         validateBlockType(hfileBlock, expectedBlockType);
> >         passSchemaMetricsTo(hfileBlock);
> >         BlockCategory blockCategory =
> > hfileBlock.getBlockType().getCategory();
> >
> > // My logging statements ---->
> >         if(blockCategory == BlockCategory.INDEX) {
> >           LOG.info("index block miss, reading from disk " + cacheKey);
> >         } else if (blockCategory == BlockCategory.BLOOM) {
> >           LOG.info("bloom block miss, reading from disk " + cacheKey);
> >         } else {
> >           LOG.info("block miss other than index or bloom, reading from
> > disk " + cacheKey);
> >         }
> > //-------------->
> >         final long delta = System.nanoTime() - startTimeNs;
> >         HFile.offerReadLatency(delta, pread);
> >         getSchemaMetrics().updateOnCacheMiss(blockCategory, isCompaction,
> > delta);
> >
> >         // Cache the block if necessary
> >         if (cacheBlock && cacheConf.shouldCacheBlockOnRead(
> >             hfileBlock.getBlockType().getCategory())) {
> >           cacheConf.getBlockCache().cacheBlock(cacheKey, hfileBlock,
> >               cacheConf.isInMemory());
> >         }
> >
> >         if (hfileBlock.getBlockType() == BlockType.DATA) {
> >           HFile.dataBlockReadCnt.incrementAndGet();
> >         }
> >
> > With these in place I saw the following statements in log:
> > 2013-06-05 01:04:55,281 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: index block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_30361506
> > 2013-06-05 01:05:00,579 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: index block miss, reading
> > from disk 52cded0c399b48fdbccd8b3d4e25502f_28779560
> > 2013-06-05 01:07:41,335 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_4199735
> > 2013-06-05 01:08:58,460 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_8519720
> > 2013-06-05 01:11:01,545 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_12838948
> > 2013-06-05 01:11:03,035 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 52cded0c399b48fdbccd8b3d4e25502f_3973250
> > 2013-06-05 01:11:36,339 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_17159812
> > 2013-06-05 01:12:35,398 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_21478349
> > 2013-06-05 01:13:02,572 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_25798003
> > 2013-06-05 01:13:03,260 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 52cded0c399b48fdbccd8b3d4e25502f_8068381
> > 2013-06-05 01:13:20,265 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_30118048
> > 2013-06-05 01:13:20,522 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: index block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_60833137
> > 2013-06-05 01:13:32,261 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_34545951
> > 2013-06-05 01:13:48,504 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_38865311
> > 2013-06-05 01:13:49,951 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 52cded0c399b48fdbccd8b3d4e25502f_12161793
> > 2013-06-05 01:14:02,073 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_43185677
> > 2013-06-05 01:14:12,956 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_47506066
> > 2013-06-05 01:14:25,132 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_51825831
> > 2013-06-05 01:14:25,946 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 52cded0c399b48fdbccd8b3d4e25502f_16257519
> > 2013-06-05 01:14:34,478 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_56145793
> > 2013-06-05 01:14:45,319 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_60466405
> > 2013-06-05 01:14:45,998 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: index block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_91304775
> > 2013-06-05 01:14:58,203 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_64893493
> > 2013-06-05 01:14:58,463 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 52cded0c399b48fdbccd8b3d4e25502f_20352561
> > 2013-06-05 01:15:09,299 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_69214092
> > 2013-06-05 01:15:32,944 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_73533616
> > 2013-06-05 01:15:46,903 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_77865906
> > 2013-06-05 01:15:47,273 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 52cded0c399b48fdbccd8b3d4e25502f_24448138
> > 2013-06-05 01:15:55,312 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_82185687
> > 2013-06-05 01:16:07,591 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_86506129
> > 2013-06-05 01:16:20,728 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_90825624
> > 2013-06-05 01:16:22,551 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 52cded0c399b48fdbccd8b3d4e25502f_28542144
> > 2013-06-05 01:16:22,810 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: index block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_121777484
> > 2013-06-05 01:16:23,035 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: index block miss, reading
> > from disk 52cded0c399b48fdbccd8b3d4e25502f_57670002
> > 2013-06-05 01:16:33,196 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_95253904
> > 2013-06-05 01:16:48,187 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_99574899
> > 2013-06-05 01:17:06,648 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_103895087
> > 2013-06-05 01:17:10,526 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 52cded0c399b48fdbccd8b3d4e25502f_32744846
> > 2013-06-05 01:17:22,939 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_108214936
> > 2013-06-05 01:17:36,010 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_112535209
> > 2013-06-05 01:17:46,028 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_116855742
> > 2013-06-05 01:17:47,029 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 52cded0c399b48fdbccd8b3d4e25502f_36838416
> > 2013-06-05 01:17:54,472 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_121174753
> > 2013-06-05 01:17:55,491 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: index block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_152248177
> > 2013-06-05 01:18:05,912 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_125601238
> > 2013-06-05 01:18:15,417 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_129921797
> > 2013-06-05 01:18:16,713 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 52cded0c399b48fdbccd8b3d4e25502f_40933856
> > 2013-06-05 01:18:29,521 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_134242324
> > 2013-06-05 01:18:38,653 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_138561860
> > 2013-06-05 01:18:49,280 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_142881436
> > 2013-06-05 01:18:50,052 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 52cded0c399b48fdbccd8b3d4e25502f_45029905
> > 2013-06-05 01:18:58,339 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_147201737
> > 2013-06-05 01:19:06,371 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: bloom block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_151533253
> > 2013-06-05 01:19:07,782 INFO
> > org.apache.hadoop.hbase.io.hfile.HFileReaderV2: index block miss, reading
> > from disk 11958ab7a4a1492e853743b02e1bd7b1_182719269
> >
> > I kept seeing these statements appearing constantly over a long period,
> > this seemed to confirm to me that bloom filter blocks are being loaded
> over
> > a period time, which also matched what I read about HFileV2. May be I am
> > wrong about both. Would love to understand what's really going on.
> >
> > Thanks in Advance,
> > Pankaj
> >
> >
> >
> > On Tue, Jun 4, 2013 at 11:05 PM, ramkrishna vasudevan <
> > ramkrishna.s.vasudevan@gmail.com> wrote:
> >
> >> Whenever the region is opened all the bloom filter meta data are loaded
> >> into memory.  I think his concern is every time all the store files are
> >> read and then we load it into memory and wants some faster ways of doing
> >> it.
> >> Asaf you are right.
> >>
> >> Regards
> >> Ram
> >>
> >>
> >> On Wed, Jun 5, 2013 at 11:22 AM, Asaf Mesika <asaf.mesika@gmail.com>
> >> wrote:
> >>
> >> > When you do the first read of this region, wouldn't this load all
> bloom
> >> > filters?
> >> >
> >> >
> >> >
> >> > On Wed, Jun 5, 2013 at 8:43 AM, ramkrishna vasudevan <
> >> > ramkrishna.s.vasudevan@gmail.com> wrote:
> >> >
> >> > > for the question whether you will be able to do a warm up for the
> >> bloom
> >> > and
> >> > > block cache i don't think it is possible now.
> >> > >
> >> > > Regards
> >> > > Ram
> >> > >
> >> > >
> >> > > On Wed, Jun 5, 2013 at 10:57 AM, Asaf Mesika <asaf.mesika@gmail.com
> >
> >> > > wrote:
> >> > >
> >> > > > If you will read HFile v2 document on HBase site you will
> understand
> >> > > > completely how the search for a record works and why there is
> linear
> >> > > search
> >> > > > in the block but binary search to get to the right block.
> >> > > > Also bear in mind the amount of keys in a blocks is not big since
> a
> >> > block
> >> > > > in HFile by default is 65k, thus from a 10GB HFile you are only
> >> fully
> >> > > > scanning 65k out of it.
> >> > > >
> >> > > > On Wednesday, June 5, 2013, Pankaj Gupta wrote:
> >> > > >
> >> > > > > Thanks for the replies. I'll take a look at
> >> src/main/java/org/apache/
> >> > > > > hadoop/hbase/coprocessor/BaseRegionObserver.java.
> >> > > > >
> >> > > > > @ramkrishna: I do want to have bloom filter and block index
all
> >> the
> >> > > time.
> >> > > > > For good read performance they're critical in my workflow.
The
> >> worry
> >> > is
> >> > > > > that when HBase is restarted it will take a long time for
them
> to
> >> get
> >> > > > > populated again and performance will suffer. If there was
a way
> of
> >> > > > loading
> >> > > > > them quickly and warm up the table then we'll be able to
restart
> >> > HBase
> >> > > > > without causing slow down in processing.
> >> > > > >
> >> > > > >
> >> > > > > On Tue, Jun 4, 2013 at 9:29 PM, Ted Yu <yuzhihong@gmail.com>
> >> wrote:
> >> > > > >
> >> > > > > > bq. But i am not very sure if we can control the files
getting
> >> > > selected
> >> > > > > for
> >> > > > > > compaction in the older verisons.
> >> > > > > >
> >> > > > > > Same mechanism is available in 0.94
> >> > > > > >
> >> > > > > > Take a look
> >> > > > > > at
> >> > > > > >
> >> > > >
> >> >
> >>
> src/main/java/org/apache/hadoop/hbase/coprocessor/BaseRegionObserver.java
> >> > > > > > where you would find the following methods (and more):
> >> > > > > >
> >> > > > > >   public void preCompactSelection(final
> >> > > > > > ObserverContext<RegionCoprocessorEnvironment>
c,
> >> > > > > >       final Store store, final List<StoreFile>
candidates,
> final
> >> > > > > > CompactionRequest request)
> >> > > > > >   public InternalScanner
> >> > > > > > preCompact(ObserverContext<RegionCoprocessorEnvironment>
e,
> >> > > > > >       final Store store, final InternalScanner scanner)
throws
> >> > > > > IOException
> >> > > > > > {
> >> > > > > >
> >> > > > > > Cheers
> >> > > > > >
> >> > > > > > On Tue, Jun 4, 2013 at 8:14 PM, ramkrishna vasudevan
<
> >> > > > > > ramkrishna.s.vasudevan@gmail.com> wrote:
> >> > > > > >
> >> > > > > > > >>Does Minor compaction remove HFiles in
which all entries
> are
> >> > out
> >> > > of
> >> > > > > > >    TTL or does only Major compaction do that
> >> > > > > > > Yes it applies for Minor compactions.
> >> > > > > > > >>Is there a way of configuring major compaction
to compact
> >> only
> >> > > > files
> >> > > > > > >    older than a certain time or to compress all
the files
> >> except
> >> > > the
> >> > > > > > latest
> >> > > > > > >    few?
> >> > > > > > > In the latest trunk version the compaction algo
itself can
> be
> >> > > > plugged.
> >> > > > > > >  There are some coprocessor hooks that gives control
on the
> >> > scanner
> >> > > > > that
> >> > > > > > > gets created for compaction with which we can
control the
> KVs
> >> > being
> >> > > > > > > selected. But i am not very sure if we can control
the files
> >> > > getting
> >> > > > > > > selected for compaction in the older verisons.
> >> > > > > > > >> The above excerpt seems to imply to me
that the search
> for
> >> key
> >> > > > > inside
> >> > > > > > a
> >> > > > > > > block
> >> > > > > > > is linear and I feel I must be reading it wrong.
I would
> >> expect
> >> > the
> >> > > > > scan
> >> > > > > > to
> >> > > > > > > be a binary search.
> >> > > > > > > Once the data block is identified for a key, we
seek to the
> >> > > beginning
> >> > > > > of
> >> > > > > > > the block and then do a linear search until we
reach the
> exact
> >> > key
> >> > > > that
> >> > > > > > we
> >> > > > > > > are looking out for.  Because internally the data
(KVs) are
> >> > stored
> >> > > as
> >> > > > > > byte
> >> > > > > > > buffers per block and it follows this pattern
> >> > > > > > > <keylength><valuelength><keybytearray><valuebytearray>
> >> > > > > > > >>Is there a way to warm up the bloom filter
and block index
> >> > cache
> >> > > > for
> >> > > > > > >    a table?
> >> > > > > > > You always want the bloom and block index to be
in cache?
> >> > > > > > >
> >> > > > > > >
> >> > > > > > > On Wed, Jun 5, 2013 at 7:45 AM, Pankaj Gupta <
> >> > > pankaj@brightroll.com>
> >> > > > > > > wrote:
> >> > > > > > >
> >> > > > > > > > Hi,
> >> > > > > > > >
> >> > > > > > > > I have a few small questions regarding HBase.
I've
> searched
> >> the
> >> > > > forum
> >> > > > > > but
> >> > > > > > > > couldn't find clear answers hence asking
them here:
> >> > > > > > > >
> >> > > > > > > >
> >> > > > > > > >    1. Does Minor compaction remove HFiles
in which all
> >> entries
> >> > > are
> >> > > > > out
> >> > > > > > of
> >> > > > > > > >    TTL or does only Major compaction do that?
I found this
> >> > jira:
> >> > > > > > > >    https://issues.apache.org/jira/browse/HBASE-5199
but I
> >> > dont'
> >> > > > know
> >> > > > > > if
> >> > > > > > > > the
> >> > > > > > > >    compaction being talked about there is
minor or major.
> >> > > > > > > >    2. Is there a way of configuring major
compaction to
> >> compact
> >> > > > only
> >> > > > > > > files
> >> > > > > > > >    older than a certain time or to compress
all the files
> >> > except
> >> > > > the
> >> > > > > > > latest
> >> > > > > > > >    few? We basically want to use the time
based filtering
> >> > > > > optimization
> >> > > > > > in
> >> > > > > > > >    HBase to get the latest additions to the
table and
> since
> >> > major
> >> > > > > > > > compaction
> >> > > > > > > >    bunches everything into one file, it would
defeat the
> >> > > > > optimization.
> >> > > > > > > >    3. Is there a way to warm up the bloom
filter and block
> >> > index
> >> > > > > cache
> >> > > > > > > for
> >> > > > > > > >    a table? This is for a case where I always
want the
> bloom
> >> > > > filters
> >> > > > > > and
> >> > > > > > > > index
> >> > > > > > > >    to be all in memory, but not the
> >> > > >
> >> > >
> >> >
> >>
> >
> >
> >
> > --
> >
> >
> > *P* | (415) 677-9222 ext. 205 *F *| (415) 677-0895 |
> pankaj@brightroll.com
> >
> > Pankaj Gupta | Software Engineer
> >
> > *BrightRoll, Inc. *| Smart Video Advertising | www.brightroll.com
> >
> >
> > United States | Canada | United Kingdom | Germany
> >
> >
> > We're hiring<
> http://newton.newtonsoftware.com/career/CareerHome.action?clientId=8a42a12b3580e2060135837631485aa7
> >
> > !
> >
>
>
>
> --
>
>
> *P* | (415) 677-9222 ext. 205 *F *| (415) 677-0895 | pankaj@brightroll.com
>
> Pankaj Gupta | Software Engineer
>
> *BrightRoll, Inc. *| Smart Video Advertising | www.brightroll.com
>
>
> United States | Canada | United Kingdom | Germany
>
>
> We're hiring<
> http://newton.newtonsoftware.com/career/CareerHome.action?clientId=8a42a12b3580e2060135837631485aa7
> >
> !
>

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