Hi,

I am trying to do some operation on an Hbase table that is being populated
by Spark Streaming.

Now this is just Spark on Hbase as opposed to Spark on Hive -> view on
Hbase etc. I also have Phoenix view on this Hbase table.

This is sample code

scala>     val tableName = "marketDataHbaseTest"
>     val conf = HBaseConfiguration.create()
conf: org.apache.hadoop.conf.Configuration = Configuration:
core-default.xml, core-site.xml, mapred-default.xml, mapred-site.xml,
yarn-default.xml, yarn-site.xml, hdfs-default.xml, hdfs-site.xml,
hbase-default.xml, hbase-site.xml
scala>     conf.set(TableInputFormat.INPUT_TABLE, tableName)
scala>         //create rdd
scala>
*val hBaseRDD = sc.newAPIHadoopRDD(conf,
classOf[TableInputFormat],classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable],classOf[org.apache.hadoop.hbase.client.Result])*hBaseRDD:
org.apache.spark.rdd.RDD[(org.apache.hadoop.hbase.io.ImmutableBytesWritable,
org.apache.hadoop.hbase.client.Result)] = NewHadoopRDD[4] at
newAPIHadoopRDD at <console>:64
scala> hBaseRDD.count
res11: Long = 22272

Now that I have hBaseRDD ,is there anyway I can create a DF on it? I
understand that it is not as simple as doing toDF on RDD

scala>  hBaseRDD.toDF
java.lang.AssertionError: assertion failed: no symbol could be loaded from
interface org.apache.hadoop.hbase.classification.InterfaceAudience$Public
in object InterfaceAudience with name Public and classloader
scala.reflect.internal.util.ScalaClassLoader$URLClassLoader@7b44e98e

Thanks

Dr Mich Talebzadeh



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