Here is the point. You're right this github repository has not been updated for a year and a half. I thought brisk was just a bundle of some technologies and that it was possible to install the same components and make them work together without using this bundle :(
On Jan 16, 2013, at 8:22 PM, Michael Kjellman <mkjell...@barracuda.com> wrote: > Brisk is pretty much stagnant. I think someone forked it to work with 1.0 > but not sure how that is going. You'll need to pay for DSE to get CFS > (which is essentially Brisk) if you want to use any modern version of C*. > > Best, > Michael > > On 1/16/13 11:17 AM, "cscetbon....@orange.com" <cscetbon....@orange.com> > wrote: > >> Thanks I understand that your code uses the hadoop interface of Cassandra >> to be able to read from it with a job. However I would like to know how >> to bring pieces (hive + pig + hadoop) together with cassandra as the >> storage layer, not to get code to test it. I have found repository >> https://github.com/riptano/brisk which might be a good start for it >> >> Regards >> >> On Jan 16, 2013, at 4:27 PM, James Schappet <jschap...@gmail.com> wrote: >> >>> Try this one then, it reads from cassandra, then writes back to >>> cassandra, >>> but you could change the write to where ever you would like. >>> >>> >>> >>> getConf().set(IN_COLUMN_NAME, columnName ); >>> >>> Job job = new Job(getConf(), "ProcessRawXml"); >>> job.setInputFormatClass(ColumnFamilyInputFormat.class); >>> job.setNumReduceTasks(0); >>> >>> job.setJarByClass(StartJob.class); >>> job.setMapperClass(ParseMapper.class); >>> job.setOutputKeyClass(ByteBuffer.class); >>> //job.setOutputValueClass(Text.class); >>> job.setOutputFormatClass(ColumnFamilyOutputFormat.class); >>> >>> ConfigHelper.setOutputColumnFamily(job.getConfiguration(), >>> KEYSPACE, COLUMN_FAMILY); >>> job.setInputFormatClass(ColumnFamilyInputFormat.class); >>> ConfigHelper.setRpcPort(job.getConfiguration(), "9160"); >>> //org.apache.cassandra.dht.LocalPartitioner >>> ConfigHelper.setInitialAddress(job.getConfiguration(), >>> "localhost"); >>> ConfigHelper.setPartitioner(job.getConfiguration(), >>> "org.apache.cassandra.dht.RandomPartitioner"); >>> ConfigHelper.setInputColumnFamily(job.getConfiguration(), >>> KEYSPACE, COLUMN_FAMILY); >>> >>> >>> SlicePredicate predicate = new >>> >>> SlicePredicate().setColumn_names(Arrays.asList(ByteBufferUtil.bytes(colum >>> nN >>> ame))); >>> // SliceRange slice_range = new SliceRange(); >>> // slice_range.setStart(ByteBufferUtil.bytes(startPoint)); >>> // slice_range.setFinish(ByteBufferUtil.bytes(endPoint)); >>> // >>> // predicate.setSlice_range(slice_range); >>> ConfigHelper.setInputSlicePredicate(job.getConfiguration(), >>> predicate); >>> >>> job.waitForCompletion(true); >>> >>> >>> >>> https://github.com/jschappet/medline/blob/master/src/main/java/edu/uiowa/ >>> ic >>> ts/jobs/ProcessXml/StartJob.java >>> >>> >>> >>> >>> >>> >>> >>> >>> On 1/16/13 9:22 AM, "cscetbon....@orange.com" <cscetbon....@orange.com> >>> wrote: >>> >>>> I don't want to write to Cassandra as it replicates data from another >>>> datacenter, but I just want to use Hadoop Jobs (Pig and Hive) to read >>>> data from it. I would like to use the same configuration as >>>> >>>> http://www.datastax.com/dev/blog/hadoop-mapreduce-in-the-cassandra-clust >>>> er >>>> but I want to know if there are alternatives to DataStax Enterprise >>>> package. >>>> >>>> Thanks >>>> On Jan 16, 2013, at 3:59 PM, James Schappet <jschap...@gmail.com> >>>> wrote: >>>> >>>>> Here are a few examples I have worked on, reading from xml.gz files >>>>> then >>>>> writing to cassandara. >>>>> >>>>> >>>>> https://github.com/jschappet/medline >>>>> >>>>> You will also need: >>>>> >>>>> https://github.com/jschappet/medline-base >>>>> >>>>> >>>>> >>>>> These examples are Hadoop Jobs using Cassandra as the Data Store. >>>>> >>>>> This one is a good place to start. >>>>> >>>>> >>>>> https://github.com/jschappet/medline/blob/master/src/main/java/edu/uiow >>>>> a/ >>>>> ic >>>>> ts/jobs/LoadMedline/StartJob.java >>>>> >>>>> ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, >>>>> COLUMN_FAMILY); >>>>> ConfigHelper.setOutputColumnFamily(job.getConfiguration(), >>>>> KEYSPACE, >>>>> outputPath); >>>>> >>>>> job.setMapperClass(MapperToCassandra.class); >>>>> job.setOutputKeyClass(Text.class); >>>>> job.setOutputValueClass(Text.class); >>>>> >>>>> LOG.info("Writing output to Cassandra"); >>>>> //job.setReducerClass(ReducerToCassandra.class); >>>>> job.setOutputFormatClass(ColumnFamilyOutputFormat.class); >>>>> >>>>> ConfigHelper.setRpcPort(job.getConfiguration(), "9160"); >>>>> //org.apache.cassandra.dht.LocalPartitioner >>>>> ConfigHelper.setInitialAddress(job.getConfiguration(), >>>>> "localhost"); >>>>> ConfigHelper.setPartitioner(job.getConfiguration(), >>>>> "org.apache.cassandra.dht.RandomPartitioner"); >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> On 1/16/13 7:37 AM, "cscetbon....@orange.com" >>>>> <cscetbon....@orange.com> >>>>> wrote: >>>>> >>>>>> Hi, >>>>>> >>>>>> I know that DataStax Enterprise package provide Brisk, but is there a >>>>>> community version ? Is it easy to interface Hadoop with Cassandra as >>>>>> the >>>>>> storage or do we absolutely have to use Brisk for that ? >>>>>> I know CassandraFS is natively available in cassandra 1.2, the >>>>>> version >>>>>> I >>>>>> use, so is there a way/procedure to interface hadoop with Cassandra >>>>>> as >>>>>> the storage ? >>>>>> >>>>>> Thanks >>>>>> >>>>>> >>>>>> ______________________________________________________________________ >>>>>> __ >>>>>> __ >>>>>> _______________________________________________ >>>>>> >>>>>> Ce message et ses pieces jointes peuvent contenir des informations >>>>>> confidentielles ou privilegiees et ne doivent donc >>>>>> pas etre diffuses, exploites ou copies sans autorisation. Si vous >>>>>> avez >>>>>> recu ce message par erreur, veuillez le signaler >>>>>> a l'expediteur et le detruire ainsi que les pieces jointes. 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Si vous avez >>>> recu ce message par erreur, veuillez le signaler >>>> a l'expediteur et le detruire ainsi que les pieces jointes. Les >>>> messages >>>> electroniques etant susceptibles d'alteration, >>>> France Telecom - Orange decline toute responsabilite si ce message a >>>> ete >>>> altere, deforme ou falsifie. Merci. >>>> >>>> This message and its attachments may contain confidential or privileged >>>> information that may be protected by law; >>>> they should not be distributed, used or copied without authorisation. >>>> If you have received this email in error, please notify the sender and >>>> delete this message and its attachments. >>>> As emails may be altered, France Telecom - Orange is not liable for >>>> messages that have been modified, changed or falsified. >>>> Thank you. >>>> >>> >>> >> >> >> __________________________________________________________________________ >> _______________________________________________ >> >> Ce message et ses pieces jointes peuvent contenir des informations >> confidentielles ou privilegiees et ne doivent donc >> pas etre diffuses, exploites ou copies sans autorisation. Si vous avez >> recu ce message par erreur, veuillez le signaler >> a l'expediteur et le detruire ainsi que les pieces jointes. Les messages >> electroniques etant susceptibles d'alteration, >> France Telecom - Orange decline toute responsabilite si ce message a ete >> altere, deforme ou falsifie. Merci. >> >> This message and its attachments may contain confidential or privileged >> information that may be protected by law; >> they should not be distributed, used or copied without authorisation. >> If you have received this email in error, please notify the sender and >> delete this message and its attachments. >> As emails may be altered, France Telecom - Orange is not liable for >> messages that have been modified, changed or falsified. >> Thank you. >> > _________________________________________________________________________________________________________________________ Ce message et ses pieces jointes peuvent contenir des informations confidentielles ou privilegiees et ne doivent donc pas etre diffuses, exploites ou copies sans autorisation. Si vous avez recu ce message par erreur, veuillez le signaler a l'expediteur et le detruire ainsi que les pieces jointes. Les messages electroniques etant susceptibles d'alteration, France Telecom - Orange decline toute responsabilite si ce message a ete altere, deforme ou falsifie. Merci. This message and its attachments may contain confidential or privileged information that may be protected by law; they should not be distributed, used or copied without authorisation. If you have received this email in error, please notify the sender and delete this message and its attachments. As emails may be altered, France Telecom - Orange is not liable for messages that have been modified, changed or falsified. Thank you.
