When you run the code in spark-shell - is that the same machine as where Zeppelin is running?
It looks like you are getting socket connection timeout when Spark, running from Zeppelin, is trying to connect to HBASE. _____________________________ From: Mich Talebzadeh <mich.talebza...@gmail.com<mailto:mich.talebza...@gmail.com>> Sent: Saturday, October 29, 2016 1:30 PM Subject: Zeppelin using Spark to access Hbase throws error To: <users@zeppelin.apache.org<mailto:users@zeppelin.apache.org>>, <u...@hbase.apache.org<mailto:u...@hbase.apache.org>> Spark 2.0.1, Zeppelin 0.6.1, hbase-1.2.3 The below code runs fine with Spark shell. import org.apache.spark._ import org.apache.spark.rdd.NewHadoopRDD import org.apache.hadoop.hbase.{HBaseConfiguration, HTableDescriptor} import org.apache.hadoop.hbase.mapreduce.TableInputFormat import org.apache.hadoop.fs.Path import org.apache.hadoop.hbase.HColumnDescriptor import org.apache.hadoop.hbase.util.Bytes import org.apache.hadoop.hbase.client.Put import org.apache.hadoop.hbase.client.HTable import scala.util.Random import scala.math._ import org.apache.spark.sql.functions._ import org.apache.spark.rdd.NewHadoopRDD import scala.collection.JavaConversions._ import scala.collection.JavaConverters._ import org.apache.hadoop.hbase.{HBaseConfiguration, HTableDescriptor} import org.apache.hadoop.hbase.mapreduce.TableInputFormat import java.nio.ByteBuffer val tableName = "MARKETDATAHBASE" val conf = HBaseConfiguration.create() // Add local HBase conf conf.set(TableInputFormat.INPUT_TABLE, tableName) //create rdd val hBaseRDD = sc.newAPIHadoopRDD(conf, classOf[TableInputFormat],classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable],classOf[org.apache.hadoop.hbase.client.Result]) val rdd1 = hBaseRDD.map(tuple => tuple._2).map(result => (result.getRow, result.getColumn("PRICE_INFO".getBytes(), "TICKER".getBytes()))).map(row => { ( row._1.map(_.toChar).mkString, row._2.asScala.reduceLeft { (a, b) => if (a.getTimestamp > b.getTimestamp) a else b }.getValue.map(_.toChar).mkString ) }) case class columns (KEY: String, TICKER: String) val dfTICKER = rdd1.toDF.map(p => columns(p(0).toString,p(1).toString)) dfTICKER.show(5) However, in Zeppelin it throws this error: dfTICKER: org.apache.spark.sql.Dataset[columns] = [KEY: string, TICKER: string] org.apache.hadoop.hbase.client.RetriesExhaustedException: Failed after attempts=36, exceptions: Sat Oct 29 21:02:41 BST 2016, null, java.net.SocketTimeoutException: callTimeout=60000, callDuration=68599: row 'MARKETDATAHBASE,,00000000000000' on table 'hbase:meta' at region=hbase:meta,,1.1588230740, hostname=rhes564,16201,1477246132044, seqNum=0 Is this related to Hbase region server? Thanks Dr Mich Talebzadeh LinkedIn 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 destructionof 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 suchloss, damage or destruction.
