Using phoenix to save a dataframe on Hbase

Question

As the title says, I want to save my DataFrame with phoenix. I have a spark code in scala that I run on intellij IDEA. It is quite simple :

import org.apache.spark.sql.SparkSession
import org.apache.phoenix.spark._

object MainTest extends App {
  val sparkSession = SparkSession.builder()
    .config("spark.sql.warehouse.dir", "file:///c:/tmp/spark-warehouse")
    .master("local[*]")
    .appName("spark-to-hbase")
    .getOrCreate()

  val sc = sparkSession.sparkContext
  val sqlC = sparkSession.sqlContext
  import sqlC.implicits._

  val myRdd = sc.parallelize(List(("a",1), ("b", 2)))
  myRdd.collect.foreach(println)
  val myDf = myRdd.toDF("column1", "column2")
  myDf.show()
  myDf.saveToPhoenix("MY_TABLE", zkUrl = Some("localhost:16000"))
}

I also have a HBase database runing on the same pc on the port 16000. The problem is that the line

myDf.saveToPhoenix("MY_TABLE", zkUrl = Some("localhost:16000"))

throw this exception :

Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/hadoop/hbase/types/DataType at java.lang.ClassLoader.defineClass1(Native Method) at java.lang.ClassLoader.defineClass(ClassLoader.java:763) at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142) at java.net.URLClassLoader.defineClass(URLClassLoader.java:467) at java.net.URLClassLoader.access$100(URLClassLoader.java:73) at java.net.URLClassLoader$1.run(URLClassLoader.java:368) at java.net.URLClassLoader$1.run(URLClassLoader.java:362) at java.security.AccessController.doPrivileged(Native Method) at java.net.URLClassLoader.findClass(URLClassLoader.java:361) at java.lang.ClassLoader.loadClass(ClassLoader.java:424) at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:335) at java.lang.ClassLoader.loadClass(ClassLoader.java:357) at org.apache.phoenix.spark.DataFrameFunctions$$anonfun$getFieldArray$2.apply(DataFrameFunctions.scala:72) at org.apache.phoenix.spark.DataFrameFunctions$$anonfun$getFieldArray$2.apply(DataFrameFunctions.scala:72) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186) at org.apache.phoenix.spark.DataFrameFunctions.getFieldArray(DataFrameFunctions.scala:72) at org.apache.phoenix.spark.DataFrameFunctions.saveToPhoenix(DataFrameFunctions.scala:35) at MainTest$.delayedEndpoint$MainTest$1(MainTest.scala:23) at MainTest$delayedInit$body.apply(MainTest.scala:8) at scala.Function0$class.apply$mcV$sp(Function0.scala:34) at scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12) at scala.App$$anonfun$main$1.apply(App.scala:76) at scala.App$$anonfun$main$1.apply(App.scala:76) at scala.collection.immutable.List.foreach(List.scala:381) at scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:35) at scala.App$class.main(App.scala:76) at MainTest$.main(MainTest.scala:8) at MainTest.main(MainTest.scala) Caused by: java.lang.ClassNotFoundException: org.apache.hadoop.hbase.types.DataType at java.net.URLClassLoader.findClass(URLClassLoader.java:381) at java.lang.ClassLoader.loadClass(ClassLoader.java:424) at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:335) at java.lang.ClassLoader.loadClass(ClassLoader.java:357) ... 33 more

From what I understand, it seems that java can't find some class. What can I do ?

My SBT :

name := "spark-to-hbase"

version := "1.0"

scalaVersion := "2.11.8"

libraryDependencies ++= Seq(
  "org.apache.hadoop" % "hadoop-mapreduce-client-core" % "2.3.0",
  "org.apache.phoenix" % "phoenix-core" % "4.11.0-HBase-1.3",
  "org.apache.spark" % "spark-core_2.11" % "2.1.1",
  "org.apache.spark" % "spark-sql_2.11" % "2.1.1",
  "org.apache.phoenix" % "phoenix-spark" % "4.11.0-HBase-1.3"
)

Leo C Leo C · Accepted Answer · 2017-07-01T01:17:55

Method saveToPhoenix takes RDDs. For dataframes, use save (see this doc for more details):

myDf.save("org.apache.phoenix.spark", SaveMode.Overwrite,
  Map("MY_TABLE" -> "OUTPUT_TABLE", "zkUrl" -> "localhost:16000"))

Using phoenix to save a dataframe on Hbase

2 Answers