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Lars Hofhansl commented on HBASE-13992: --------------------------------------- Few nits: * Comments in what's happening in the Scala and JavaHBase*Examples * Might want to have a comment in *HBaseBulkDeleteExample.java explaining that it is probably better to use the built-in BulkDeleteEndpoint (which in turn we have to document better) * Comment explaining in *HBaseDistributedScan as to why this is preferred over using Spark's built-in HadoopRDD with TableInputFormat or the included HBaseRDD (it's obvious, but hey, somebody might look at the classes and wonder why). * I assume there's quite some heap needed to get the RDD resulting from a scan into a (RowKey, List[(columnFamily, columnQualifier, Value) (going by the article here). Can that be avoided if it is a problem? Or in other words, is there an easy to way to get a raw Result[] or List<Result>? ... sorry if I'm missing something. Very excited about having this in HBase proper. > Integrate SparkOnHBase into HBase > --------------------------------- > > Key: HBASE-13992 > URL: https://issues.apache.org/jira/browse/HBASE-13992 > Project: HBase > Issue Type: New Feature > Components: spark > Reporter: Ted Malaska > Assignee: Ted Malaska > Fix For: 2.0.0 > > Attachments: HBASE-13992.patch, HBASE-13992.patch.3, > HBASE-13992.patch.4 > > > This Jira is to ask if SparkOnHBase can find a home in side HBase core. > Here is the github: > https://github.com/cloudera-labs/SparkOnHBase > I am the core author of this project and the license is Apache 2.0 > A blog explaining this project is here > http://blog.cloudera.com/blog/2014/12/new-in-cloudera-labs-sparkonhbase/ > A spark Streaming example is here > http://blog.cloudera.com/blog/2014/11/how-to-do-near-real-time-sessionization-with-spark-streaming-and-apache-hadoop/ > A real customer using this in produce is blogged here > http://blog.cloudera.com/blog/2015/03/how-edmunds-com-used-spark-streaming-to-build-a-near-real-time-dashboard/ > Please debate and let me know what I can do to make this happen. -- This message was sent by Atlassian JIRA (v6.3.4#6332)