├── .gitignore ├── README.md ├── pom.xml ├── src └── main │ └── java │ └── com │ └── mongodb │ └── spark │ └── demo │ └── Recommender.java └── LICENSE /.gitignore: -------------------------------------------------------------------------------- 1 | *.class 2 | 3 | # Mobile Tools for Java (J2ME) 4 | .mtj.tmp/ 5 | 6 | # Package Files # 7 | *.jar 8 | *.war 9 | *.ear 10 | 11 | # virtual machine crash logs, see http://www.java.com/en/download/help/error_hotspot.xml 12 | hs_err_pid* 13 | /target 14 | 15 | demo.iml 16 | .classpath 17 | .project 18 | /.idea 19 | .settings 20 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # MongoDB-Spark Demo 2 | 3 | ## Prerequisites 4 | 5 | To build the MongoDB-Spark demo application, you'll need to have the following: 6 | 7 | * [Maven](http://maven.apache.org) 8 | * [MongoDB-Hadoop Connector](http://github.com/mongodb/mongo-hadoop) 9 | * [Spark](http://spark.apache.org) (1.0 or greater, for Hadoop 2.x) 10 | 11 | ### MongoDB-Hadoop 12 | 13 | *Note*: you must build the MongoDB-Hadoop connector from source for your version of Hadoop and install the `core` JAR file to your local Maven repo. For example: 14 | 15 | $ git clone http://github.com/mongodb/mongo-hadoop.git 16 | $ cd mongo-hadoop 17 | $ ./gradlew jar -Phadoop_version='2.4' 18 | $ mvn install:install-file \ 19 | -Dfile=core/build/lib/mongo-hadoop-core-1.2.1-SNAPSHOT-hadoop_2.4.jar \ 20 | -DgroupId=com.mongodb \ 21 | -DartifactId=hadoop \ 22 | -Dversion=1.2.1-SNAPSHOT \ 23 | -Dpackaging=jar 24 | 25 | ### Spark 26 | 27 | Refer to the [Spark overview](http://spark.apache.org/docs/latest/index.html) to get started. 28 | 29 | ## Building 30 | 31 | To the build the MongoDB-Hadoop demo applications use Maven: 32 | 33 | $ mvn package 34 | 35 | This will build the demo application and place all of the dependencies in `target/lib`. If instead you want to build a single jar with all of the dependencies, execute the `assembly:single` Maven goal: 36 | 37 | $ mvn compile assembly:single 38 | 39 | 44 | 45 | ## Running 46 | 47 | $ cd your-spark-directory 48 | $ SPARK_JAR=assembly/target/scala-2.10/spark-assembly-1.0.0-hadoop2.4.0.jar \ 49 | HADOOP_CONF_DIR=/usr/local/hadoop/etc/hadoop \ 50 | bin/spark-submit --master local --class com.mongodb.spark.demo.Recommender /path/to/demo-1.0-SNAPSHOT.jar \ 51 | --jars /path/to/mongo-java-driver-2.12.2.jar,/path/to/hadoop-1.2.1-SNAPSHOT.jar \ 52 | --executor-memory 4G /movielens/ratings.bson /movielens/users.bson \ 53 | /movielens/movies.bson movielens.predictions 54 | 55 | ## Notes 56 | 57 | None at this time. 58 | -------------------------------------------------------------------------------- /pom.xml: -------------------------------------------------------------------------------- 1 | 3 | 4.0.0 4 | com.mongodb.spark 5 | demo 6 | jar 7 | 1.0-SNAPSHOT 8 | demo 9 | http://maven.apache.org 10 | 11 | 12 | org.apache.spark 13 | spark-core_2.10 14 | 1.0.0 15 | 16 | 17 | org.apache.spark 18 | spark-mllib_2.10 19 | 1.0.0 20 | 21 | 22 | org.mongodb 23 | mongo-java-driver 24 | 2.12.3 25 | 26 | 27 | org.mongodb 28 | mongo-hadoop-core 29 | 1.3.0 30 | 31 | 32 | org.apache.hadoop 33 | hadoop-common 34 | 2.3.0 35 | 36 | 37 | org.apache.hadoop 38 | hadoop-client 39 | 2.3.0 40 | 41 | 42 | junit 43 | junit 44 | 3.8.1 45 | test 46 | 47 | 48 | 49 | 50 | 51 | maven-dependency-plugin 52 | 53 | 54 | copy-dependencies 55 | prepare-package 56 | 57 | copy-dependencies 58 | 59 | 60 | 61 | mongo-hadoop-core,mongo-java-driver 62 | 63 | ${project.build.directory}/lib 64 | false 65 | false 66 | true 67 | 68 | 69 | 70 | build-classpath 71 | generate-sources 72 | 73 | build-classpath 74 | 75 | 76 | ${project.build.directory}/classpath.txt 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 100 | 101 | 102 | 103 | 104 | 105 | 106 | 107 | 108 | 109 | 110 | 111 | -------------------------------------------------------------------------------- /src/main/java/com/mongodb/spark/demo/Recommender.java: -------------------------------------------------------------------------------- 1 | package com.mongodb.spark.demo; 2 | 3 | import com.mongodb.hadoop.BSONFileInputFormat; 4 | import com.mongodb.hadoop.MongoOutputFormat; 5 | import org.apache.hadoop.conf.Configuration; 6 | import org.apache.spark.SparkConf; 7 | import org.apache.spark.api.java.JavaPairRDD; 8 | import org.apache.spark.api.java.JavaRDD; 9 | import org.apache.spark.api.java.JavaSparkContext; 10 | import org.apache.spark.api.java.function.Function; 11 | import org.apache.spark.api.java.function.PairFunction; 12 | import org.apache.spark.mllib.recommendation.MatrixFactorizationModel; 13 | import org.apache.spark.mllib.recommendation.Rating; 14 | import org.apache.spark.mllib.recommendation.ALS; 15 | import org.bson.BSONObject; 16 | import org.bson.BasicBSONObject; 17 | import org.slf4j.Logger; 18 | import scala.Tuple2; 19 | 20 | import java.util.*; 21 | 22 | 23 | public class Recommender { 24 | 25 | private static String HDFS_HOST = "hdfs://crcsmnky.local:9000"; 26 | private static String MONGODB_HOST = "mongodb://127.0.0.1:27017/"; 27 | // private static int SCALE_MAX = 5; 28 | // private static int SCALE_MIN = 1; 29 | 30 | // public static Comparator RatingComparator = new Comparator() { 31 | // @Override 32 | // public int compare(Rating r1, Rating r2) { 33 | // return Double.valueOf(r1.rating() - r2.rating()).intValue(); 34 | // } 35 | // }; 36 | 37 | public static void main(String[] args) { 38 | if(args.length < 4) { 39 | System.err.println("Usage: Recommender "); 40 | System.err.println("Example: Recommender /movielens/ratings.bson /movielens/users.bson /movielens/movies.bson movielens.predictions"); 41 | System.exit(-1); 42 | } 43 | 44 | String ratingsUri = HDFS_HOST + args[0]; 45 | String usersUri = HDFS_HOST + args[1]; 46 | String moviesUri = HDFS_HOST + args[2]; 47 | String mongodbUri = MONGODB_HOST + args[3]; 48 | 49 | SparkConf conf = new SparkConf().setAppName("SparkRecommender"); 50 | JavaSparkContext sc = new JavaSparkContext(conf); 51 | Logger log = sc.sc().log(); 52 | 53 | Configuration bsonDataConfig = new Configuration(); 54 | bsonDataConfig.set("mongo.job.input.format", "com.mongodb.hadoop.BSONFileInputFormat"); 55 | 56 | Configuration predictionsConfig = new Configuration(); 57 | predictionsConfig.set("mongo.output.uri", mongodbUri); 58 | 59 | JavaPairRDD bsonRatingsData = sc.newAPIHadoopFile( 60 | ratingsUri, BSONFileInputFormat.class, Object.class, 61 | BSONObject.class, bsonDataConfig); 62 | 63 | JavaRDD ratingsData = bsonRatingsData.map( 64 | new Function,Rating>() { 65 | public Rating call(Tuple2 doc) throws Exception { 66 | Integer userid = (Integer) doc._2.get("userid"); 67 | Integer movieid = (Integer) doc._2.get("movieid"); 68 | Number rating = (Number) doc._2.get("rating"); 69 | return new Rating(userid, movieid, rating.doubleValue()); 70 | } 71 | } 72 | ); 73 | 74 | log.warn("ratings = " + ratingsData.count()); 75 | 76 | // keep this RDD in memory as much as possible, and spill to disk if needed 77 | // ratingsData.persist(StorageLevel.MEMORY_AND_DISK()); 78 | 79 | JavaRDD userData = sc.newAPIHadoopFile(usersUri, 80 | BSONFileInputFormat.class, Object.class, BSONObject.class, bsonDataConfig).map( 81 | new Function, Object>() { 82 | @Override 83 | public Object call(Tuple2 doc) throws Exception { 84 | return doc._2.get("userid"); 85 | } 86 | } 87 | ); 88 | 89 | log.warn("users = " + userData.count()); 90 | 91 | JavaRDD movieData = sc.newAPIHadoopFile(moviesUri, 92 | BSONFileInputFormat.class, Object.class, BSONObject.class, bsonDataConfig).map( 93 | new Function, Object>() { 94 | @Override 95 | public Object call(Tuple2 doc) throws Exception { 96 | return doc._2.get("movieid"); 97 | } 98 | } 99 | ); 100 | 101 | log.warn("movies = " + movieData.count()); 102 | 103 | // generate complete pairing for all possible (user,movie) combinations 104 | JavaPairRDD usersMovies = userData.cartesian(movieData); 105 | 106 | log.warn("usersMovies = " + usersMovies.count()); 107 | 108 | // create the model from existing ratings data 109 | MatrixFactorizationModel model = ALS.train(ratingsData.rdd(), 10, 10, 0.01); 110 | 111 | // predict ratings 112 | JavaRDD predictions = model.predict(usersMovies.rdd()).toJavaRDD(); 113 | 114 | // // get the min/max ratings 115 | // final Rating minRating = predictions.min(RatingComparator); 116 | // final Rating maxRating = predictions.max(RatingComparator); 117 | // 118 | // // normalize predicted ratings on a scale of SCALE_MIN to SCALE_MAX 119 | // JavaRDD predictionsNormalized = predictions.map( 120 | // new Function() { 121 | // @Override 122 | // public Rating call(Rating rating) throws Exception { 123 | // double newRating = 1 + (rating.rating() - minRating.rating()) * 124 | // (SCALE_MAX - SCALE_MIN) / (maxRating.rating() - minRating.rating()); 125 | // return new Rating(rating.user(), rating.product(), newRating); 126 | // } 127 | // } 128 | // ); 129 | 130 | // create BSON RDD from normalized predictions 131 | JavaPairRDD predictionsOutput = predictions.mapToPair( 132 | new PairFunction() { 133 | @Override 134 | public Tuple2 call(Rating rating) throws Exception { 135 | BSONObject doc = new BasicBSONObject(); 136 | doc.put("userid", rating.user()); 137 | doc.put("movieid", rating.product()); 138 | doc.put("rating", rating.rating()); 139 | doc.put("timestamp", new Date()); 140 | // null key means an ObjectId will be generated on insert 141 | return new Tuple2(null, doc); 142 | } 143 | } 144 | ); 145 | 146 | // predictionsOutput.repartition(4); 147 | 148 | log.warn("writing " + predictionsOutput.count() + " documents to " + mongodbUri); 149 | 150 | predictionsOutput.saveAsNewAPIHadoopFile("file:///notapplicable", 151 | Object.class, Object.class, MongoOutputFormat.class, predictionsConfig); 152 | 153 | sc.sc().log().info("predictionsOutput.splits() = " + predictionsOutput.splits().size()); 154 | } 155 | } 156 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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