mllib/fpm/JavaPrefixSpanSuite.java

0001 /*
0002  * Licensed to the Apache Software Foundation (ASF) under one or more
0003  * contributor license agreements.  See the NOTICE file distributed with
0004  * this work for additional information regarding copyright ownership.
0005  * The ASF licenses this file to You under the Apache License, Version 2.0
0006  * (the "License"); you may not use this file except in compliance with
0007  * the License.  You may obtain a copy of the License at
0008  *
0009  *    http://www.apache.org/licenses/LICENSE-2.0
0010  *
0011  * Unless required by applicable law or agreed to in writing, software
0012  * distributed under the License is distributed on an "AS IS" BASIS,
0013  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
0014  * See the License for the specific language governing permissions and
0015  * limitations under the License.
0016  */
0017
0018 package org.apache.spark.mllib.fpm;
0019
0020 import java.io.File;
0021 import java.util.Arrays;
0022 import java.util.List;
0023
0024 import org.junit.Assert;
0025 import org.junit.Test;
0026
0027 import org.apache.spark.SharedSparkSession;
0028 import org.apache.spark.api.java.JavaRDD;
0029 import org.apache.spark.mllib.fpm.PrefixSpan.FreqSequence;
0030 import org.apache.spark.util.Utils;
0031
0032 public class JavaPrefixSpanSuite extends SharedSparkSession {
0033
0034   @Test
0035   public void runPrefixSpan() {
0036     JavaRDD<List<List<Integer>>> sequences = jsc.parallelize(Arrays.asList(
0037       Arrays.asList(Arrays.asList(1, 2), Arrays.asList(3)),
0038       Arrays.asList(Arrays.asList(1), Arrays.asList(3, 2), Arrays.asList(1, 2)),
0039       Arrays.asList(Arrays.asList(1, 2), Arrays.asList(5)),
0040       Arrays.asList(Arrays.asList(6))
0041     ), 2);
0042     PrefixSpan prefixSpan = new PrefixSpan()
0043       .setMinSupport(0.5)
0044       .setMaxPatternLength(5);
0045     PrefixSpanModel<Integer> model = prefixSpan.run(sequences);
0046     JavaRDD<FreqSequence<Integer>> freqSeqs = model.freqSequences().toJavaRDD();
0047     List<FreqSequence<Integer>> localFreqSeqs = freqSeqs.collect();
0048     Assert.assertEquals(5, localFreqSeqs.size());
0049     // Check that each frequent sequence could be materialized.
0050     for (PrefixSpan.FreqSequence<Integer> freqSeq : localFreqSeqs) {
0051       List<List<Integer>> seq = freqSeq.javaSequence();
0052       long freq = freqSeq.freq();
0053     }
0054   }
0055
0056   @Test
0057   public void runPrefixSpanSaveLoad() {
0058     JavaRDD<List<List<Integer>>> sequences = jsc.parallelize(Arrays.asList(
0059       Arrays.asList(Arrays.asList(1, 2), Arrays.asList(3)),
0060       Arrays.asList(Arrays.asList(1), Arrays.asList(3, 2), Arrays.asList(1, 2)),
0061       Arrays.asList(Arrays.asList(1, 2), Arrays.asList(5)),
0062       Arrays.asList(Arrays.asList(6))
0063     ), 2);
0064     PrefixSpan prefixSpan = new PrefixSpan()
0065       .setMinSupport(0.5)
0066       .setMaxPatternLength(5);
0067     PrefixSpanModel<Integer> model = prefixSpan.run(sequences);
0068
0069     File tempDir = Utils.createTempDir(
0070       System.getProperty("java.io.tmpdir"), "JavaPrefixSpanSuite");
0071     String outputPath = tempDir.getPath();
0072
0073     try {
0074       model.save(spark.sparkContext(), outputPath);
0075       @SuppressWarnings("unchecked")
0076       PrefixSpanModel<Integer> newModel =
0077           (PrefixSpanModel<Integer>) PrefixSpanModel.load(spark.sparkContext(), outputPath);
0078       JavaRDD<FreqSequence<Integer>> freqSeqs = newModel.freqSequences().toJavaRDD();
0079       List<FreqSequence<Integer>> localFreqSeqs = freqSeqs.collect();
0080       Assert.assertEquals(5, localFreqSeqs.size());
0081       // Check that each frequent sequence could be materialized.
0082       for (PrefixSpan.FreqSequence<Integer> freqSeq : localFreqSeqs) {
0083         List<List<Integer>> seq = freqSeq.javaSequence();
0084         long freq = freqSeq.freq();
0085       }
0086     } finally {
0087       Utils.deleteRecursively(tempDir);
0088     }
0089
0090
0091   }
0092 }