PySpark 1.5.2 + Elasticsearch 2.1.0 Installation procedure and execution

Introduction

--I want to touch Elasticsearch from pyspark

environment

• Elasticsearch 2.1.0
• Spark 1.5.2

Spark installation

Omit. Spark 1.6 was released today, but with 1.5.2.

Elasticsearch + hadoop download

--As of January 6, 2016, Elasticsearch 2.1.0 requires elasticsearch-hadoop-2.2.0-beta1.

Just download from Official Page and unpack

$ wget http://download.elastic.co/hadoop/elasticsearch-hadoop-2.2.0-beta1.zip
$ unzip elasticsearch-hadoop-2.2.0-beta1.zip

Start pyspark + elasticsearch

/usr/local/share/spark/bin/pyspark --master local[4] --driver-class-path=elasticsearch-hadoop-2.2.0-beta1/dist/elasticsearch-spark_2.11-2.2.0-beta1.jar

RDD generation

>>> conf = {"es.nodes" : "XXX.XXX.XXX.XXX:[port]", "es.resource" : "[index name]/[type]"}
>>> rdd = sc.newAPIHadoopRDD("org.elasticsearch.hadoop.mr.EsInputFormat","org.apache.hadoop.io.NullWritable", "org.elasticsearch.hadoop.mr.LinkedMapWritable", conf=conf)

basic operation

>>> rdd.first()
>>> rdd.count()
>>> rdd.filter(lambda s: 'aaa' in s).count()

Map / Reduce

#Count how many records there are by name
counts = rdd.map(lambda item: item[1]["name"])
counts = counts.map(lambda ip: (ip, 1))
counts = counts.reduceByKey(lambda a, b: a+b)

#Run
>>> counts.collect()

Save to ES

rdd.saveToEs('test/docs')

I was addicted to

--Be careful about Network settings on Elasticsearch side. If `` `network.publish_host``` is incorrect, the connection was rejected and an error occurred. -Remote access about Spark and Elasticsearch was helpful.

<snip>
File "/usr/local/share/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.
: org.elasticsearch.hadoop.rest.EsHadoopInvalidRequest: [GET] on [_nodes/http] failed; server[hostname/XXX.XXX.XXX.XXX:Ports] returned [400|Bad Request:]
<snip>

reference

Spark -Fun visualization: Encounter between elasticsearch and Spark Streaming

• Elasticsearch in Apache Spark with Python—Machine Learning Series, Part 2

Elasticsearch

• Apache Spark support
• Remote access about Spark and Elasticsearch --AWS Discovery issue. The network.publish_host setting is important. -Elasticsearch.yml settings -Network changes in Elasticsearch Unplugged --2.0 (Japanese translation)