Thank you all. very helpful. I have not tried the method Ciureanu suggested but will do so.
Now I will be using Spark Streaming to populate Hbase table. I was hoping to do this through Phoenix but managed to write a script to write to Hbase table from Spark 2 itself. Having worked with Hbase I take the row key to be primary key, i.e. unique much like RDBMS (Oracle). Sounds like phoenix relies on that one when creating table on top of Hbase table. Is this assessment correct please? Thanks Dr Mich Talebzadeh LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* http://talebzadehmich.wordpress.com *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction. On 7 October 2016 at 14:30, Ciureanu Constantin < ciureanu.constan...@gmail.com> wrote: > In Spark 1.4 it worked via JDBC - sure it would work in 1.6 / 2.0 without > issues. > > Here's a sample code I used (it was getting data in parallel 24 partitions) > > > import org.apache.spark.SparkConf > import org.apache.spark.SparkContext > > import org.apache.spark.rdd.JdbcRDD > import java.sql.{Connection, DriverManager, ResultSet} > > sc.addJar("/usr/lib/hbase/hbase-protocol.jar") > sc.addJar("phoenix-x.y.z-bin/phoenix-core-x.y.z.jar") > sc.addJar("phoenix-x.y.z-bin/phoenix-x.y.z-client.jar") > > def createConnection() = { > Class.forName("org.apache.phoenix.jdbc.PhoenixDriver").newInstance(); > DriverManager.getConnection("jdbc:phoenix:hd101.lps.stage, > hd102.lps.stage,hd103.lps.stage"); // the Zookeeper quorum > } > > def extractValues(r: ResultSet) = { > (r.getLong(1), // datum > r.getInt(2), // pg > r.getString(3), // HID > .... > ) > } > > val data = new JdbcRDD(sc, createConnection, > "SELECT DATUM, PG, HID, ..... WHERE DATUM >= ? * 1000 AND DATUM <= ? * > 1000 and PG = <a value>", > lowerBound = 1364774400, upperBound = 1384774400, numPartitions = 24, > mapRow = extractValues) > > data.count() > > println(data.collect().toList) > > > 2016-10-07 15:20 GMT+02:00 Ted Yu <yuzhih...@gmail.com>: > >> JIRA on hbase side: >> HBASE-16179 >> >> FYI >> >> On Fri, Oct 7, 2016 at 6:07 AM, Josh Mahonin <jmaho...@gmail.com> wrote: >> >>> Hi Mich, >>> >>> There's an open ticket about this issue here: >>> https://issues.apache.org/jira/browse/PHOENIX-3333 >>> >>> Long story short, Spark changed their API (again), breaking the existing >>> integration. I'm not sure the level of effort to get it working with Spark >>> 2.0, but based on examples from other projects, it looks like there's a >>> fair bit of Maven module work to support both Spark 1.x and Spark 2.x >>> concurrently in the same project. Patches are very welcome! >>> >>> Best, >>> >>> Josh >>> >>> >>> >>> On Fri, Oct 7, 2016 at 8:33 AM, Mich Talebzadeh < >>> mich.talebza...@gmail.com> wrote: >>> >>>> Hi, >>>> >>>> Has anyone managed to read phoenix table in Spark 2 by any chance >>>> please? >>>> >>>> Thanks >>>> >>>> Dr Mich Talebzadeh >>>> >>>> >>>> >>>> LinkedIn * >>>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw >>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* >>>> >>>> >>>> >>>> http://talebzadehmich.wordpress.com >>>> >>>> >>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for >>>> any loss, damage or destruction of data or any other property which may >>>> arise from relying on this email's technical content is explicitly >>>> disclaimed. The author will in no case be liable for any monetary damages >>>> arising from such loss, damage or destruction. >>>> >>>> >>>> >>> >>> >> >
