It's still in HBase' trunk, scheduled for 2.0.0 release based on Jira ticket.
-Deng On Tue, Oct 27, 2015 at 6:35 PM, Fengdong Yu <fengdo...@everstring.com> wrote: > Does this released with Spark1.*? or still kept in the trunk? > > > > > On Oct 27, 2015, at 6:22 PM, Adrian Tanase <atan...@adobe.com> wrote: > > Also I just remembered about cloudera’s contribution > > http://blog.cloudera.com/blog/2015/08/apache-spark-comes-to-apache-hbase-with-hbase-spark-module/ > > From: Deng Ching-Mallete > Date: Tuesday, October 27, 2015 at 12:03 PM > To: avivb > Cc: user > Subject: Re: There is any way to write from spark to HBase CDH4? > > Hi, > > We are using phoenix-spark (http://phoenix.apache.org/phoenix_spark.html) > to write data to HBase, but it requires spark 1.3.1+ and phoenix 4.4+. > Previously, when we were still on spark 1.2, we used the HBase API to write > directly to HBase. > > For HBase 0.98, it's something like this: > > rdd.foreachPartition(partition => { > // create hbase config > val hConf = HBaseConfiguration.create() > val hTable = new HTable(hConf, "TABLE_1") > hTable.setAutoFlush(false) > > partition.foreach(r => { > // generate row key > // create row > val hRow = new Put(rowKey) > > // add columns > hRow.add(..) > > hTable.put(hRow) > }) > hTable.flushCommits() > hTable.close() > }) > > HTH, > Deng > > On Tue, Oct 27, 2015 at 5:36 PM, avivb <a...@taykey.com> wrote: > >> I have already try it with https://github.com/unicredit/hbase-rdd and >> https://github.com/nerdammer/spark-hbase-connector and in both cases I >> get >> timeout. >> >> So I would like to know about other option to write from Spark to HBase >> CDH4. >> >> Thanks! >> >> >> >> -- >> View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/There-is-any-way-to-write-from-spark-to-HBase-CDH4-tp25209.html >> Sent from the Apache Spark User List mailing list archive at Nabble.com. >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> For additional commands, e-mail: user-h...@spark.apache.org >> >
