Java tutorial
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See the License for the * specific language governing permissions and limitations * under the License. */ package org.apache.druid.indexer; import com.fasterxml.jackson.databind.ObjectMapper; import com.fasterxml.jackson.databind.jsontype.NamedType; import com.google.common.collect.ImmutableList; import com.google.common.collect.ImmutableMap; import com.google.common.collect.Lists; import com.google.common.collect.Maps; import org.apache.commons.io.FileUtils; import org.apache.druid.data.input.impl.CSVParseSpec; import org.apache.druid.data.input.impl.DimensionsSpec; import org.apache.druid.data.input.impl.InputRowParser; import org.apache.druid.data.input.impl.JSONParseSpec; import org.apache.druid.data.input.impl.StringInputRowParser; import org.apache.druid.data.input.impl.TimestampSpec; import org.apache.druid.java.util.common.Intervals; import org.apache.druid.java.util.common.RE; import org.apache.druid.java.util.common.StringUtils; import org.apache.druid.java.util.common.granularity.Granularities; import org.apache.druid.query.aggregation.AggregatorFactory; import org.apache.druid.query.aggregation.CountAggregatorFactory; import org.apache.druid.query.aggregation.LongSumAggregatorFactory; import org.apache.druid.query.aggregation.hyperloglog.HyperUniquesAggregatorFactory; import org.apache.druid.segment.indexing.DataSchema; import org.apache.druid.segment.indexing.granularity.UniformGranularitySpec; import org.apache.druid.timeline.DataSegment; import org.apache.druid.timeline.partition.HashBasedNumberedShardSpec; import org.apache.druid.timeline.partition.NumberedShardSpec; import org.apache.druid.timeline.partition.ShardSpec; import org.apache.druid.timeline.partition.SingleDimensionShardSpec; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.LocalFileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.BytesWritable; import org.apache.hadoop.io.SequenceFile; import org.apache.hadoop.io.SequenceFile.Writer; import org.apache.hadoop.io.compress.CompressionCodec; import org.apache.hadoop.mapreduce.JobContext; import org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat; import org.joda.time.DateTime; import org.joda.time.DateTimeComparator; import org.joda.time.Interval; import org.junit.Assert; import org.junit.Before; import org.junit.Rule; import org.junit.Test; import org.junit.rules.TemporaryFolder; import org.junit.runner.RunWith; import org.junit.runners.Parameterized; import java.io.File; import java.io.IOException; import java.nio.ByteBuffer; import java.util.Arrays; import java.util.Collection; import java.util.HashMap; import java.util.List; import java.util.Map; @RunWith(Parameterized.class) public class IndexGeneratorJobTest { private static final AggregatorFactory[] aggs1 = { new LongSumAggregatorFactory("visited_num", "visited_num"), new HyperUniquesAggregatorFactory("unique_hosts", "host") }; private static final AggregatorFactory[] aggs2 = { new CountAggregatorFactory("count") }; @Parameterized.Parameters(name = "useCombiner={0}, partitionType={1}, interval={2}, shardInfoForEachSegment={3}, " + "data={4}, inputFormatName={5}, inputRowParser={6}, maxRowsInMemory={7}, " + "maxBytesInMemory={8}, aggs={9}, datasourceName={10}, forceExtendableShardSpecs={11}") public static Collection<Object[]> constructFeed() { final List<Object[]> baseConstructors = Arrays .asList(new Object[][] { { false, "single", "2014-10-22T00:00:00Z/P2D", new String[][][] { { { null, "c.example.com" }, { "c.example.com", "e.example.com" }, { "e.example.com", "g.example.com" }, { "g.example.com", "i.example.com" }, { "i.example.com", null } }, { { null, "c.example.com" }, { "c.example.com", "e.example.com" }, { "e.example.com", "g.example.com" }, { "g.example.com", "i.example.com" }, { "i.example.com", null } } }, ImmutableList.of( "2014102200,a.example.com,100", "2014102200,b.exmaple.com,50", "2014102200,c.example.com,200", "2014102200,d.example.com,250", "2014102200,e.example.com,123", "2014102200,f.example.com,567", "2014102200,g.example.com,11", "2014102200,h.example.com,251", "2014102200,i.example.com,963", "2014102200,j.example.com,333", "2014102300,a.example.com,100", "2014102300,b.exmaple.com,50", "2014102300,c.example.com,200", "2014102300,d.example.com,250", "2014102300,e.example.com,123", "2014102300,f.example.com,567", "2014102300,g.example.com,11", "2014102300,h.example.com,251", "2014102300,i.example.com,963", "2014102300,j.example.com,333"), null, new StringInputRowParser( new CSVParseSpec(new TimestampSpec("timestamp", "yyyyMMddHH", null), new DimensionsSpec( DimensionsSpec.getDefaultSchemas(ImmutableList.of("host")), null, null), null, ImmutableList.of("timestamp", "host", "visited_num"), false, 0), null), null, null, aggs1, "website" }, { false, "hashed", "2014-10-22T00:00:00Z/P1D", new Integer[][][] { { { 0, 4 }, { 1, 4 }, { 2, 4 }, { 3, 4 } } }, ImmutableList.of("2014102200,a.example.com,100", "2014102201,b.exmaple.com,50", "2014102202,c.example.com,200", "2014102203,d.example.com,250", "2014102204,e.example.com,123", "2014102205,f.example.com,567", "2014102206,g.example.com,11", "2014102207,h.example.com,251", "2014102208,i.example.com,963", "2014102209,j.example.com,333", "2014102210,k.example.com,253", "2014102211,l.example.com,321", "2014102212,m.example.com,3125", "2014102213,n.example.com,234", "2014102214,o.example.com,325", "2014102215,p.example.com,3533", "2014102216,q.example.com,500", "2014102216,q.example.com,87"), null, new HadoopyStringInputRowParser( new CSVParseSpec(new TimestampSpec("timestamp", "yyyyMMddHH", null), new DimensionsSpec( DimensionsSpec.getDefaultSchemas(ImmutableList.of("host")), null, null), null, ImmutableList.of("timestamp", "host", "visited_num"), false, 0)), null, null, aggs1, "website" }, { true, "hashed", "2014-10-22T00:00:00Z/P1D", new Integer[][][] { { { 0, 4 }, { 1, 4 }, { 2, 4 }, { 3, 4 } } }, ImmutableList.of("2014102200,a.example.com,100", "2014102201,b.exmaple.com,50", "2014102202,c.example.com,200", "2014102203,d.example.com,250", "2014102204,e.example.com,123", "2014102205,f.example.com,567", "2014102206,g.example.com,11", "2014102207,h.example.com,251", "2014102208,i.example.com,963", "2014102209,j.example.com,333", "2014102210,k.example.com,253", "2014102211,l.example.com,321", "2014102212,m.example.com,3125", "2014102213,n.example.com,234", "2014102214,o.example.com,325", "2014102215,p.example.com,3533", "2014102216,q.example.com,500", "2014102216,q.example.com,87"), null, new StringInputRowParser( new CSVParseSpec(new TimestampSpec("timestamp", "yyyyMMddHH", null), new DimensionsSpec( DimensionsSpec.getDefaultSchemas(ImmutableList.of("host")), null, null), null, ImmutableList.of("timestamp", "host", "visited_num"), false, 0), null), null, null, aggs1, "website" }, { false, "single", "2014-10-22T00:00:00Z/P2D", new String[][][] { { { null, "c.example.com" }, { "c.example.com", "e.example.com" }, { "e.example.com", "g.example.com" }, { "g.example.com", "i.example.com" }, { "i.example.com", null } }, { { null, "c.example.com" }, { "c.example.com", "e.example.com" }, { "e.example.com", "g.example.com" }, { "g.example.com", "i.example.com" }, { "i.example.com", null } } }, ImmutableList.of( "2014102200,a.example.com,100", "2014102200,b.exmaple.com,50", "2014102200,c.example.com,200", "2014102200,d.example.com,250", "2014102200,e.example.com,123", "2014102200,f.example.com,567", "2014102200,g.example.com,11", "2014102200,h.example.com,251", "2014102200,i.example.com,963", "2014102200,j.example.com,333", "2014102300,a.example.com,100", "2014102300,b.exmaple.com,50", "2014102300,c.example.com,200", "2014102300,d.example.com,250", "2014102300,e.example.com,123", "2014102300,f.example.com,567", "2014102300,g.example.com,11", "2014102300,h.example.com,251", "2014102300,i.example.com,963", "2014102300,j.example.com,333"), SequenceFileInputFormat.class.getName(), new HadoopyStringInputRowParser( new CSVParseSpec(new TimestampSpec("timestamp", "yyyyMMddHH", null), new DimensionsSpec( DimensionsSpec.getDefaultSchemas(ImmutableList.of("host")), null, null), null, ImmutableList.of("timestamp", "host", "visited_num"), false, 0)), null, null, aggs1, "website" }, { // Tests that new indexes inherit the dimension order from previous index false, "hashed", "2014-10-22T00:00:00Z/P1D", new Integer[][][] { { { 0, 1 } // use a single partition, dimension order inheritance is not supported across partitions } }, ImmutableList.of("{\"ts\":\"2014102200\", \"X\":\"x.example.com\"}", "{\"ts\":\"2014102201\", \"Y\":\"y.example.com\"}", "{\"ts\":\"2014102202\", \"M\":\"m.example.com\"}", "{\"ts\":\"2014102203\", \"Q\":\"q.example.com\"}", "{\"ts\":\"2014102204\", \"B\":\"b.example.com\"}", "{\"ts\":\"2014102205\", \"F\":\"f.example.com\"}"), null, new StringInputRowParser( new JSONParseSpec(new TimestampSpec("ts", "yyyyMMddHH", null), new DimensionsSpec(null, null, null), null, null), null), 1, // force 1 row max per index for easier testing null, aggs2, "inherit_dims" }, { // Tests that pre-specified dim order is maintained across indexes. false, "hashed", "2014-10-22T00:00:00Z/P1D", new Integer[][][] { { { 0, 1 } } }, ImmutableList.of("{\"ts\":\"2014102200\", \"X\":\"x.example.com\"}", "{\"ts\":\"2014102201\", \"Y\":\"y.example.com\"}", "{\"ts\":\"2014102202\", \"M\":\"m.example.com\"}", "{\"ts\":\"2014102203\", \"Q\":\"q.example.com\"}", "{\"ts\":\"2014102204\", \"B\":\"b.example.com\"}", "{\"ts\":\"2014102205\", \"F\":\"f.example.com\"}"), null, new StringInputRowParser( new JSONParseSpec(new TimestampSpec("ts", "yyyyMMddHH", null), new DimensionsSpec( DimensionsSpec.getDefaultSchemas( ImmutableList.of("B", "F", "M", "Q", "X", "Y")), null, null), null, null), null), 1, // force 1 row max per index for easier testing null, aggs2, "inherit_dims2" } }); // Run each baseConstructor with/without forceExtendableShardSpecs. final List<Object[]> constructors = Lists.newArrayList(); for (Object[] baseConstructor : baseConstructors) { for (int forceExtendableShardSpecs = 0; forceExtendableShardSpecs < 2; forceExtendableShardSpecs++) { final Object[] fullConstructor = new Object[baseConstructor.length + 1]; System.arraycopy(baseConstructor, 0, fullConstructor, 0, baseConstructor.length); fullConstructor[baseConstructor.length] = forceExtendableShardSpecs == 0; constructors.add(fullConstructor); } } return constructors; } @Rule public final TemporaryFolder temporaryFolder = new TemporaryFolder(); private final boolean useCombiner; private final String partitionType; private final Interval interval; private final Object[][][] shardInfoForEachSegment; private final List<String> data; private final String inputFormatName; private final InputRowParser inputRowParser; private final Integer maxRowsInMemory; private final Long maxBytesInMemory; private final AggregatorFactory[] aggs; private final String datasourceName; private final boolean forceExtendableShardSpecs; private ObjectMapper mapper; private HadoopDruidIndexerConfig config; private File dataFile; private File tmpDir; public IndexGeneratorJobTest(boolean useCombiner, String partitionType, String interval, Object[][][] shardInfoForEachSegment, List<String> data, String inputFormatName, InputRowParser inputRowParser, Integer maxRowsInMemory, Long maxBytesInMemory, AggregatorFactory[] aggs, String datasourceName, boolean forceExtendableShardSpecs) { this.useCombiner = useCombiner; this.partitionType = partitionType; this.shardInfoForEachSegment = shardInfoForEachSegment; this.interval = Intervals.of(interval); this.data = data; this.inputFormatName = inputFormatName; this.inputRowParser = inputRowParser; this.maxRowsInMemory = maxRowsInMemory; this.maxBytesInMemory = maxBytesInMemory; this.aggs = aggs; this.datasourceName = datasourceName; this.forceExtendableShardSpecs = forceExtendableShardSpecs; } private void writeDataToLocalSequenceFile(File outputFile, List<String> data) throws IOException { Configuration conf = new Configuration(); LocalFileSystem fs = FileSystem.getLocal(conf); Writer fileWriter = SequenceFile.createWriter(fs, conf, new Path(outputFile.getAbsolutePath()), BytesWritable.class, BytesWritable.class, SequenceFile.CompressionType.NONE, (CompressionCodec) null); int keyCount = 10; for (String line : data) { ByteBuffer buf = ByteBuffer.allocate(4); buf.putInt(keyCount); BytesWritable key = new BytesWritable(buf.array()); BytesWritable value = new BytesWritable(StringUtils.toUtf8(line)); fileWriter.append(key, value); keyCount += 1; } fileWriter.close(); } @Before public void setUp() throws Exception { mapper = HadoopDruidIndexerConfig.JSON_MAPPER; mapper.registerSubtypes(new NamedType(HashBasedNumberedShardSpec.class, "hashed")); mapper.registerSubtypes(new NamedType(SingleDimensionShardSpec.class, "single")); dataFile = temporaryFolder.newFile(); tmpDir = temporaryFolder.newFolder(); HashMap<String, Object> inputSpec = new HashMap<String, Object>(); inputSpec.put("paths", dataFile.getCanonicalPath()); inputSpec.put("type", "static"); if (inputFormatName != null) { inputSpec.put("inputFormat", inputFormatName); } if (SequenceFileInputFormat.class.getName().equals(inputFormatName)) { writeDataToLocalSequenceFile(dataFile, data); } else { FileUtils.writeLines(dataFile, data); } config = new HadoopDruidIndexerConfig(new HadoopIngestionSpec( new DataSchema(datasourceName, mapper.convertValue(inputRowParser, Map.class), aggs, new UniformGranularitySpec(Granularities.DAY, Granularities.NONE, ImmutableList.of(this.interval)), null, mapper), new HadoopIOConfig(ImmutableMap.copyOf(inputSpec), null, tmpDir.getCanonicalPath()), new HadoopTuningConfig(tmpDir.getCanonicalPath(), null, null, null, null, maxRowsInMemory, maxBytesInMemory, false, false, false, false, ImmutableMap.of(JobContext.NUM_REDUCES, "0"), //verifies that set num reducers is ignored false, useCombiner, null, true, null, forceExtendableShardSpecs, false, null, null, null))); config.setShardSpecs(loadShardSpecs(partitionType, shardInfoForEachSegment)); config = HadoopDruidIndexerConfig.fromSpec(config.getSchema()); } private List<ShardSpec> constructShardSpecFromShardInfo(String partitionType, Object[][] shardInfoForEachShard) { List<ShardSpec> specs = Lists.newArrayList(); if ("hashed".equals(partitionType)) { for (Integer[] shardInfo : (Integer[][]) shardInfoForEachShard) { specs.add(new HashBasedNumberedShardSpec(shardInfo[0], shardInfo[1], null, HadoopDruidIndexerConfig.JSON_MAPPER)); } } else if ("single".equals(partitionType)) { int partitionNum = 0; for (String[] shardInfo : (String[][]) shardInfoForEachShard) { specs.add(new SingleDimensionShardSpec("host", shardInfo[0], shardInfo[1], partitionNum++)); } } else { throw new RE("Invalid partition type:[%s]", partitionType); } return specs; } private Map<Long, List<HadoopyShardSpec>> loadShardSpecs(String partitionType, Object[][][] shardInfoForEachShard) { Map<Long, List<HadoopyShardSpec>> shardSpecs = Maps.newTreeMap(DateTimeComparator.getInstance()); int shardCount = 0; int segmentNum = 0; for (Interval segmentGranularity : config.getSegmentGranularIntervals().get()) { List<ShardSpec> specs = constructShardSpecFromShardInfo(partitionType, shardInfoForEachShard[segmentNum++]); List<HadoopyShardSpec> actualSpecs = Lists.newArrayListWithExpectedSize(specs.size()); for (ShardSpec spec : specs) { actualSpecs.add(new HadoopyShardSpec(spec, shardCount++)); } shardSpecs.put(segmentGranularity.getStartMillis(), actualSpecs); } return shardSpecs; } @Test public void testIndexGeneratorJob() throws IOException { verifyJob(new IndexGeneratorJob(config)); } private void verifyJob(IndexGeneratorJob job) throws IOException { Assert.assertTrue(JobHelper.runJobs(ImmutableList.of(job), config)); int segmentNum = 0; for (DateTime currTime = interval.getStart(); currTime .isBefore(interval.getEnd()); currTime = currTime.plusDays(1)) { Object[][] shardInfo = shardInfoForEachSegment[segmentNum++]; File segmentOutputFolder = new File( StringUtils.format("%s/%s/%s_%s/%s", config.getSchema().getIOConfig().getSegmentOutputPath(), config.getSchema().getDataSchema().getDataSource(), currTime.toString(), currTime.plusDays(1).toString(), config.getSchema().getTuningConfig().getVersion())); Assert.assertTrue(segmentOutputFolder.exists()); Assert.assertEquals(shardInfo.length, segmentOutputFolder.list().length); for (int partitionNum = 0; partitionNum < shardInfo.length; ++partitionNum) { File individualSegmentFolder = new File(segmentOutputFolder, Integer.toString(partitionNum)); Assert.assertTrue(individualSegmentFolder.exists()); File descriptor = new File(individualSegmentFolder, "descriptor.json"); File indexZip = new File(individualSegmentFolder, "index.zip"); Assert.assertTrue(descriptor.exists()); Assert.assertTrue(indexZip.exists()); DataSegment dataSegment = mapper.readValue(descriptor, DataSegment.class); Assert.assertEquals(config.getSchema().getTuningConfig().getVersion(), dataSegment.getVersion()); Assert.assertEquals(new Interval(currTime, currTime.plusDays(1)), dataSegment.getInterval()); Assert.assertEquals("local", dataSegment.getLoadSpec().get("type")); Assert.assertEquals(indexZip.getCanonicalPath(), dataSegment.getLoadSpec().get("path")); Assert.assertEquals(Integer.valueOf(9), dataSegment.getBinaryVersion()); if ("website".equals(datasourceName)) { Assert.assertEquals("website", dataSegment.getDataSource()); Assert.assertEquals("host", dataSegment.getDimensions().get(0)); Assert.assertEquals("visited_num", dataSegment.getMetrics().get(0)); Assert.assertEquals("unique_hosts", dataSegment.getMetrics().get(1)); } else if ("inherit_dims".equals(datasourceName)) { Assert.assertEquals("inherit_dims", dataSegment.getDataSource()); Assert.assertEquals(ImmutableList.of("X", "Y", "M", "Q", "B", "F"), dataSegment.getDimensions()); Assert.assertEquals("count", dataSegment.getMetrics().get(0)); } else if ("inherit_dims2".equals(datasourceName)) { Assert.assertEquals("inherit_dims2", dataSegment.getDataSource()); Assert.assertEquals(ImmutableList.of("B", "F", "M", "Q", "X", "Y"), dataSegment.getDimensions()); Assert.assertEquals("count", dataSegment.getMetrics().get(0)); } else { Assert.fail("Test did not specify supported datasource name"); } if (forceExtendableShardSpecs) { NumberedShardSpec spec = (NumberedShardSpec) dataSegment.getShardSpec(); Assert.assertEquals(partitionNum, spec.getPartitionNum()); Assert.assertEquals(shardInfo.length, spec.getPartitions()); } else if ("hashed".equals(partitionType)) { Integer[] hashShardInfo = (Integer[]) shardInfo[partitionNum]; HashBasedNumberedShardSpec spec = (HashBasedNumberedShardSpec) dataSegment.getShardSpec(); Assert.assertEquals((int) hashShardInfo[0], spec.getPartitionNum()); Assert.assertEquals((int) hashShardInfo[1], spec.getPartitions()); } else if ("single".equals(partitionType)) { String[] singleDimensionShardInfo = (String[]) shardInfo[partitionNum]; SingleDimensionShardSpec spec = (SingleDimensionShardSpec) dataSegment.getShardSpec(); Assert.assertEquals(singleDimensionShardInfo[0], spec.getStart()); Assert.assertEquals(singleDimensionShardInfo[1], spec.getEnd()); } else { throw new RE("Invalid partition type:[%s]", partitionType); } } } } }