PySpark HBase/Phoenix integration

Question

I'm supposed to read Phoenix data into pyspark.

edit: I'm using Spark HBase converters:

Here is a code snippet:

port="2181"
host="zookeperserver"
keyConv = "org.apache.spark.examples.pythonconverters.ImmutableBytesWritableToStringConverter"
valueConv = "org.apache.spark.examples.pythonconverters.HBaseResultToStringConverter"
cmdata_conf = {"hbase.zookeeper.property.clientPort":port, "hbase.zookeeper.quorum": host, "hbase.mapreduce.inputtable": "camel", "hbase.mapreduce.scan.columns": "data:a"}
sc.newAPIHadoopRDD("org.apache.hadoop.hbase.mapreduce.TableInputFormat","org.apache.hadoop.hbase.io.ImmutableBytesWritable","org.apache.hadoop.hbase.client.Result",keyConverter=keyConv,valueConverter=valueConv,conf=cmdata_conf)

Traceback:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/hdp/2.3.0.0-2557/spark/python/pyspark/context.py", line 547, in newAPIHadoopRDD
    jconf, batchSize)
  File "/usr/hdp/2.3.0.0-2557/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__
  File "/usr/hdp/2.3.0.0-2557/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.newAPIHadoopRDD.
: java.io.IOException: No table was provided.
    at org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getSplits(TableInputFormatBase.java:130)

Any help would be much appreciated.

Thank you! /Tina

Answer 1

Using spark phoenix plugin is the recommended approach. please find details about phoenix spark plugin here

Environment : tested with AWS EMR 5.10 , PySpark

Following are the steps

1. Create Table in phoenix https://phoenix.apache.org/language/ Open Phoenix shell

   “/usr/lib/phoenix/bin/sqlline.py“

   DROP TABLE IF EXISTS TableName;

   CREATE TABLE TableName (DOMAIN VARCHAR primary key);

   UPSERT INTO TableName (DOMAIN) VALUES('foo');

2. Download spark phoenix plugin jar download spark phoenix plugin jar from https://mvnrepository.com/artifact/org.apache.phoenix/phoenix-core/4.11.0-HBase-1.3 you need phoenix--HBase--client.jar , i used phoenix-4.11.0-HBase-1.3-client.jar as per my phoenix and hbase version

3. From your hadoop home directory, setup the following variable:

   phoenix_jars=/home/user/apache-phoenix-4.11.0-HBase-1.3-bin/phoenix-4.11.0-HBase-1.3-client.jar

4. Start PySpark shell and add the dependency in Driver and executer classpath

   pyspark --jars ${phoenix_jars} --conf spark.executor.extraClassPath=${phoenix_jars}

--Create ZooKeeper URL ,Replace with your cluster zookeeper quorum, you can check from hbase-site.xml

emrMaster = "ZooKeeper URL" 

df = sqlContext.read \
.format("org.apache.phoenix.spark") \
.option("table", "TableName") \
.option("zkUrl", emrMaster) \
.load() 

df.show()
df.columns
df.printSchema()
df1=df.replace(['foo'], ['foo1'], 'DOMAIN')
df1.show() 

df1.write \
  .format("org.apache.phoenix.spark") \
  .mode("overwrite") \
  .option("table", "TableName") \
  .option("zkUrl", emrMaster) \
  .save()

Answer 2

There are two ways to do this :
1) As Phoenix has a JDBC layer you can use Spark JdbcRDD to read data from Phoenix in Spark https://spark.apache.org/docs/1.3.0/api/java/org/apache/spark/rdd/JdbcRDD.html

2) Using Spark HBAse Converters: https://github.com/apache/spark/blob/master/examples/src/main/scala/org/apache/spark/examples/pythonconverters/HBaseConverters.scala https://github.com/apache/spark/tree/master/examples/src/main/python