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Apache Spark datasource for OrientDB

Introduction

This documentation discusses the topic of how to connect Apache Spark to OrientDB. Apache Spark is the widely popular engine for large-scale data processing. Here, we will discuss how to use the Apache Spark datasource for OrientDB to leverage Spark's capabilities while using OrientDB as the datastore.

Installation Guide

To use the Apache Spark datasource for OrientDB inside a Spark application, the following steps need to be performed.

  • Add the repository location to pom.xml.
<repository>
   <id>bintray</id>
   <name>bintray</name>
   <url>https://dl.bintray.com/sbcd90/org.apache.spark/</url>
</repository>
  • Add the datasource as a maven dependency in pom.xml.
<dependency>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-orientdb-{spark.version}_2.10</artifactId>
   <version>1.3</version>
</dependency>

Configuration

The datasource is supported for Apache Spark version 1.6+ & OrientDB 2.2.0+.

API Reference

The Apache Spark datasource for OrientDB allows users to leverage the Apache Spark datasource api s for reading and writing data from OrientDB. The datasource loads a collection of OrientDB documents into a dataframe & an OrientDB graph containing a set of vertices & edges into a Graphframe.

The complete api reference for using the Apache Spark datasource for OrientDB is provided below.

OrientDB Documents

Write api:

import org.apache.spark.sql.SQLContext

val sqlContext = new SQLContext(sc)
sqlContext.createDataFrame(sc.parallelize(Array(1, 2, 3, 4, 5)), 
      StructType(Seq(StructField("id", IntegerType)))
      .write
      .format("org.apache.spark.orientdb.documents")
      .option("dburl", ORIENTDB_CONNECTION_URL)
      .option("user", ORIENTDB_USER).option("password", ORIENTDB_PASSWORD)
      .option("class", test_class)
      .mode(SaveMode.Overwrite)
      .save()

Read api:

import org.apache.spark.sql.SQLContext

val sqlContext = new SQLContext(sc)
val loadedDf = sqlContext.read
      .format("org.apache.spark.orientdb.documents")
      .option("dburl", ORIENTDB_CONNECTION_URL)
      .option("user", ORIENTDB_USER)
      .option("password", ORIENTDB_PASSWORD)
      .option("class", test_class)
      .option("query", s"select * from $test_table where teststring = 'asdf'")
      .load()

Query using OrientDB SQL:

import org.apache.spark.sql.SQLContext

val sqlContext = new SQLContext(sc)
val loadedDf = sqlContext.read
      .format("org.apache.spark.orientdb.documents")
      .option("dburl", ORIENTDB_CONNECTION_URL)
      .option("user", ORIENTDB_USER)
      .option("password", ORIENTDB_PASSWORD)
      .option("class", test_class)
      .option("query", s"select * from $test_table where teststring = 'asdf'")
      .load()

OrientDB Graphs:

Create Vertex api:

import org.apache.spark.sql.SQLContext

val sqlContext = new SQLContext(sc)
sqlContext.createDataFrame(sc.parallelize(Array(1, 2, 3, 4, 5)),
      StructType(Seq(StructField("id", IntegerType)))
      .write
      .format("org.apache.spark.orientdb.graphs")
      .option("dburl", ORIENTDB_CONNECTION_URL)
      .option("user", ORIENTDB_USER)
      .option("password", ORIENTDB_PASSWORD)
      .option("vertextype", test_vertex_type2)
      .mode(SaveMode.Overwrite)
      .save()

Create Edge api:

import org.apache.spark.sql.SQLContext

val sqlContext = new SQLContext(sc)
sqlContext.createDataFrame(
      sc.parallelize(Seq(
            Row(1, 2, "friends"),
            Row(2, 3, "enemy"),
            Row(3, 4, "friends"),
            Row(4, 1, "enemy")
      )),
      StructType(Seq(
            StructField("src", IntegerType),
            StructField("dst", IntegerType),
            StructField("relationship", StringType)
          )))
      .write
      .format("org.apache.spark.orientdb.graphs")
      .option("dburl", ORIENTDB_CONNECTION_URL)
      .option("user", ORIENTDB_USER)
      .option("password", ORIENTDB_PASSWORD)
      .option("vertextype", test_vertex_type2)
      .option("edgetype", test_edge_type2)
      .mode(SaveMode.Overwrite)
      .save()

Read Vertex api:

import org.apache.spark.sql.SQLContext

val sqlContext = new SQLContext(sc)
val loadedDf = sqlContext.read
                    .format("org.apache.spark.orientdb.graphs")
                    .option("dburl", ORIENTDB_CONNECTION_URL)
                    .option("user", ORIENTDB_USER)
                    .option("password", ORIENTDB_PASSWORD)
                    .option("vertextype", test_vertex_type2)
                    .load()

Read edge api:

import org.apache.spark.sql.SQLContext

val sqlContext = new SQLContext(sc)
val loadedDf = sqlContext.read
                   .format("org.apache.spark.orientdb.graphs")
                   .option("dburl", ORIENTDB_CONNECTION_URL)
                   .option("user", ORIENTDB_USER)
                   .option("password", ORIENTDB_PASSWORD)
                   .option("edgetype", test_edge_type2)
                   .load()

Query using OrientDB Graph SQL:

import org.apache.spark.sql.SQLContext

val sqlContext = new SQLContext(sc)
val loadedVerticesDf = sqlContext.read
                 .format("org.apache.spark.orientdb.graphs")
                 .option("dburl", ORIENTDB_CONNECTION_URL)
                 .option("user", ORIENTDB_USER)
                 .option("password", ORIENTDB_PASSWORD)
                 .option("vertextype", test_vertex_type2)
                 .option("query", s"select * from $test_vertex_type2 where teststring = 'asdf'")
                 .load()
                 
val loadedEdgesDf = sqlContext.read
                 .format("org.apache.spark.orientdb.graphs")
                 .option("dburl", ORIENTDB_CONNECTION_URL)
                 .option("user", ORIENTDB_USER)
                 .option("password", ORIENTDB_PASSWORD)
                 .option("edgetype", test_edge_type2)
                 .option("query", s"select * from $test_edge_type2 where relationship = 'friends'")
                 .load()

Integration with GraphFrames

import org.apache.spark.sql.SQLContext

val sqlContext = new SQLContext(sc)
val loadedVerticesDf = sqlContext.read
                 .format("org.apache.spark.orientdb.graphs")
                 .option("dburl", ORIENTDB_CONNECTION_URL)
                 .option("user", ORIENTDB_USER)
                 .option("password", ORIENTDB_PASSWORD)
                 .option("vertextype", test_vertex_type2)
                 .option("query", s"select * from $test_vertex_type2 where teststring = 'asdf'")
                 .load()
                 
val loadedEdgesDf = sqlContext.read
                 .format("org.apache.spark.orientdb.graphs")
                 .option("dburl", ORIENTDB_CONNECTION_URL)
                 .option("user", ORIENTDB_USER)
                 .option("password", ORIENTDB_PASSWORD)
                 .option("edgetype", test_edge_type2)
                 .option("query", s"select * from $test_edge_type2 where relationship = 'friends'")
                 .load()
                 
val g = GraphFrame(loadedVerticesDf, loadedEdgesDf)

Examples

An example Spark application with OrientDB Documents

package org.apache.spark.orientdb.documents

import org.apache.spark.sql.{SQLContext, SaveMode}
import org.apache.spark.{SparkConf, SparkContext}

object DataFrameTest extends App {
  val conf = new SparkConf().setAppName("DataFrameTest").setMaster("local[*]")
  val sc = new SparkContext(conf)
  val sqlContext = new SQLContext(sc)

  import sqlContext.implicits._
  val df = sc.parallelize(Array(1, 2, 3, 4, 5)).toDF("id")

  df.write.format("org.apache.spark.orientdb.documents")
    .option("dburl", "<db url>")
    .option("user", "****")
    .option("password", "****")
    .option("class", "test_class")
    .mode(SaveMode.Overwrite)
    .save()

  val resultDf = sqlContext.read
    .format("org.apache.spark.orientdb.documents")
    .option("dburl", "<db url>")
    .option("user", "****")
    .option("password", "****")
    .option("class", "test_class")
    .load()

  resultDf.show()
}

An example Spark application with OrientDB Graph

package org.apache.spark.orientdb.graphs

import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.sql.{Row, SQLContext, SaveMode}
import org.apache.spark.sql.types.{StringType, StructField, StructType}
import org.graphframes.GraphFrame

object GraphFrameTest extends App {
  val conf = new SparkConf().setAppName("MainApplication").setMaster("local[*]")
  val sc = new SparkContext(conf)
  sc.setLogLevel("WARN")
  val sqlContext = new SQLContext(sc)

  import sqlContext.implicits._
  val df = sc.parallelize(Array(1, 2, 3, 4, 5)).toDF("id")

  df.write.format("org.apache.spark.orientdb.graphs")
    .option("dburl", "<db url>")
    .option("user", "****")
    .option("password", "****")
    .option("vertextype", "v104")
    .mode(SaveMode.Overwrite)
    .save()

  val vertices = sqlContext.read
    .format("org.apache.spark.orientdb.graphs")
    .option("dburl", "<db url>")
    .option("user", "****")
    .option("password", "****")
    .option("vertextype", "v104")
    .load()

  var inVertex: Integer = null
  var outVertex: Integer = null
  vertices.collect().foreach(row => {
    if (inVertex == null) {
      inVertex = row.getAs[Integer]("id")
    }
    if (outVertex == null) {
      outVertex = row.getAs[Integer]("id")
    }
  })

  val df1 = sqlContext.createDataFrame(sc.parallelize(Seq(Row("friends", "1", "2"),
    Row("enemies", "2", "3"), Row("friends", "3", "1"))),
    StructType(List(StructField("relationship", StringType), StructField("src", StringType),
      StructField("dst", StringType))))

  df1.write.format("org.apache.spark.orientdb.graphs")
    .option("dburl", "<db url>")
        .option("user", "****")
        .option("password", "****")
    .option("vertextype", "v104")
    .option("edgetype", "e104")
    .mode(SaveMode.Overwrite)
    .save()

  val edges = sqlContext.read
    .format("org.apache.spark.orientdb.graphs")
    .option("dburl", "<db url>")
    .option("user", "****")
    .option("password", "****")
    .option("edgetype", "e104")
    .load()

  edges.show()

  val g = GraphFrame(vertices, edges)
  g.inDegrees.show()
  println(g.edges.filter("relationship = 'friends'").count())
}