List of usage examples for java.nio IntBuffer wrap
public static IntBuffer wrap(int[] array)
From source file:io.druid.segment.IndexMerger.java
private static File makeIndexFiles(final List<IndexableAdapter> indexes, final File outDir, final ProgressIndicator progress, final List<String> mergedDimensions, final List<String> mergedMetrics, final Map<String, Object> segmentMetadata, final Function<ArrayList<Iterable<Rowboat>>, Iterable<Rowboat>> rowMergerFn, final IndexSpec indexSpec) throws IOException { final Map<String, ValueType> valueTypes = Maps.newTreeMap(Ordering.<String>natural().nullsFirst()); final Map<String, String> metricTypeNames = Maps.newTreeMap(Ordering.<String>natural().nullsFirst()); final Map<String, ColumnCapabilitiesImpl> columnCapabilities = Maps.newHashMap(); for (IndexableAdapter adapter : indexes) { for (String dimension : adapter.getDimensionNames()) { ColumnCapabilitiesImpl mergedCapabilities = columnCapabilities.get(dimension); ColumnCapabilities capabilities = adapter.getCapabilities(dimension); if (mergedCapabilities == null) { mergedCapabilities = new ColumnCapabilitiesImpl(); mergedCapabilities.setType(ValueType.STRING); }/*from ww w . ja va2s. c om*/ columnCapabilities.put(dimension, mergedCapabilities.merge(capabilities)); } for (String metric : adapter.getMetricNames()) { ColumnCapabilitiesImpl mergedCapabilities = columnCapabilities.get(metric); ColumnCapabilities capabilities = adapter.getCapabilities(metric); if (mergedCapabilities == null) { mergedCapabilities = new ColumnCapabilitiesImpl(); } columnCapabilities.put(metric, mergedCapabilities.merge(capabilities)); valueTypes.put(metric, capabilities.getType()); metricTypeNames.put(metric, adapter.getMetricType(metric)); } } final Interval dataInterval; File v8OutDir = new File(outDir, "v8-tmp"); v8OutDir.mkdirs(); /************* Main index.drd file **************/ progress.progress(); long startTime = System.currentTimeMillis(); File indexFile = new File(v8OutDir, "index.drd"); try (FileOutputStream fileOutputStream = new FileOutputStream(indexFile); FileChannel channel = fileOutputStream.getChannel()) { channel.write(ByteBuffer.wrap(new byte[] { IndexIO.V8_VERSION })); GenericIndexed.fromIterable(mergedDimensions, GenericIndexed.STRING_STRATEGY).writeToChannel(channel); GenericIndexed.fromIterable(mergedMetrics, GenericIndexed.STRING_STRATEGY).writeToChannel(channel); DateTime minTime = new DateTime(JodaUtils.MAX_INSTANT); DateTime maxTime = new DateTime(JodaUtils.MIN_INSTANT); for (IndexableAdapter index : indexes) { minTime = JodaUtils.minDateTime(minTime, index.getDataInterval().getStart()); maxTime = JodaUtils.maxDateTime(maxTime, index.getDataInterval().getEnd()); } dataInterval = new Interval(minTime, maxTime); serializerUtils.writeString(channel, String.format("%s/%s", minTime, maxTime)); serializerUtils.writeString(channel, mapper.writeValueAsString(indexSpec.getBitmapSerdeFactory())); } IndexIO.checkFileSize(indexFile); log.info("outDir[%s] completed index.drd in %,d millis.", v8OutDir, System.currentTimeMillis() - startTime); /************* Setup Dim Conversions **************/ progress.progress(); startTime = System.currentTimeMillis(); IOPeon ioPeon = new TmpFileIOPeon(); ArrayList<FileOutputSupplier> dimOuts = Lists.newArrayListWithCapacity(mergedDimensions.size()); Map<String, Integer> dimensionCardinalities = Maps.newHashMap(); ArrayList<Map<String, IntBuffer>> dimConversions = Lists.newArrayListWithCapacity(indexes.size()); for (IndexableAdapter index : indexes) { dimConversions.add(Maps.<String, IntBuffer>newHashMap()); } for (String dimension : mergedDimensions) { final GenericIndexedWriter<String> writer = new GenericIndexedWriter<String>(ioPeon, dimension, GenericIndexed.STRING_STRATEGY); writer.open(); List<Indexed<String>> dimValueLookups = Lists.newArrayListWithCapacity(indexes.size()); DimValueConverter[] converters = new DimValueConverter[indexes.size()]; for (int i = 0; i < indexes.size(); i++) { Indexed<String> dimValues = indexes.get(i).getDimValueLookup(dimension); if (!isNullColumn(dimValues)) { dimValueLookups.add(dimValues); converters[i] = new DimValueConverter(dimValues); } } Iterable<String> dimensionValues = CombiningIterable.createSplatted( Iterables.transform(dimValueLookups, new Function<Indexed<String>, Iterable<String>>() { @Override public Iterable<String> apply(@Nullable Indexed<String> indexed) { return Iterables.transform(indexed, new Function<String, String>() { @Override public String apply(@Nullable String input) { return (input == null) ? "" : input; } }); } }), Ordering.<String>natural().nullsFirst()); int count = 0; for (String value : dimensionValues) { value = value == null ? "" : value; writer.write(value); for (int i = 0; i < indexes.size(); i++) { DimValueConverter converter = converters[i]; if (converter != null) { converter.convert(value, count); } } ++count; } dimensionCardinalities.put(dimension, count); FileOutputSupplier dimOut = new FileOutputSupplier(IndexIO.makeDimFile(v8OutDir, dimension), true); dimOuts.add(dimOut); writer.close(); serializerUtils.writeString(dimOut, dimension); ByteStreams.copy(writer.combineStreams(), dimOut); for (int i = 0; i < indexes.size(); ++i) { DimValueConverter converter = converters[i]; if (converter != null) { dimConversions.get(i).put(dimension, converters[i].getConversionBuffer()); } } ioPeon.cleanup(); } log.info("outDir[%s] completed dim conversions in %,d millis.", v8OutDir, System.currentTimeMillis() - startTime); /************* Walk through data sets and merge them *************/ progress.progress(); startTime = System.currentTimeMillis(); ArrayList<Iterable<Rowboat>> boats = Lists.newArrayListWithCapacity(indexes.size()); for (int i = 0; i < indexes.size(); ++i) { final IndexableAdapter adapter = indexes.get(i); final int[] dimLookup = new int[mergedDimensions.size()]; int count = 0; for (String dim : adapter.getDimensionNames()) { dimLookup[count] = mergedDimensions.indexOf(dim); count++; } final int[] metricLookup = new int[mergedMetrics.size()]; count = 0; for (String metric : adapter.getMetricNames()) { metricLookup[count] = mergedMetrics.indexOf(metric); count++; } boats.add(new MMappedIndexRowIterable( Iterables.transform(indexes.get(i).getRows(), new Function<Rowboat, Rowboat>() { @Override public Rowboat apply(@Nullable Rowboat input) { int[][] newDims = new int[mergedDimensions.size()][]; int j = 0; for (int[] dim : input.getDims()) { newDims[dimLookup[j]] = dim; j++; } Object[] newMetrics = new Object[mergedMetrics.size()]; j = 0; for (Object met : input.getMetrics()) { newMetrics[metricLookup[j]] = met; j++; } return new Rowboat(input.getTimestamp(), newDims, newMetrics, input.getRowNum()); } }), mergedDimensions, dimConversions.get(i), i)); } Iterable<Rowboat> theRows = rowMergerFn.apply(boats); CompressedLongsSupplierSerializer timeWriter = CompressedLongsSupplierSerializer.create(ioPeon, "little_end_time", IndexIO.BYTE_ORDER, CompressedObjectStrategy.DEFAULT_COMPRESSION_STRATEGY); timeWriter.open(); ArrayList<VSizeIndexedWriter> forwardDimWriters = Lists.newArrayListWithCapacity(mergedDimensions.size()); for (String dimension : mergedDimensions) { VSizeIndexedWriter writer = new VSizeIndexedWriter(ioPeon, dimension, dimensionCardinalities.get(dimension)); writer.open(); forwardDimWriters.add(writer); } ArrayList<MetricColumnSerializer> metWriters = Lists.newArrayListWithCapacity(mergedMetrics.size()); for (String metric : mergedMetrics) { ValueType type = valueTypes.get(metric); switch (type) { case LONG: metWriters.add(new LongMetricColumnSerializer(metric, v8OutDir, ioPeon)); break; case FLOAT: metWriters.add(new FloatMetricColumnSerializer(metric, v8OutDir, ioPeon)); break; case COMPLEX: final String typeName = metricTypeNames.get(metric); ComplexMetricSerde serde = ComplexMetrics.getSerdeForType(typeName); if (serde == null) { throw new ISE("Unknown type[%s]", typeName); } metWriters.add(new ComplexMetricColumnSerializer(metric, v8OutDir, ioPeon, serde)); break; default: throw new ISE("Unknown type[%s]", type); } } for (MetricColumnSerializer metWriter : metWriters) { metWriter.open(); } int rowCount = 0; long time = System.currentTimeMillis(); List<IntBuffer> rowNumConversions = Lists.newArrayListWithCapacity(indexes.size()); for (IndexableAdapter index : indexes) { int[] arr = new int[index.getNumRows()]; Arrays.fill(arr, INVALID_ROW); rowNumConversions.add(IntBuffer.wrap(arr)); } for (Rowboat theRow : theRows) { progress.progress(); timeWriter.add(theRow.getTimestamp()); final Object[] metrics = theRow.getMetrics(); for (int i = 0; i < metrics.length; ++i) { metWriters.get(i).serialize(metrics[i]); } int[][] dims = theRow.getDims(); for (int i = 0; i < dims.length; ++i) { List<Integer> listToWrite = (i >= dims.length || dims[i] == null) ? null : Ints.asList(dims[i]); forwardDimWriters.get(i).write(listToWrite); } for (Map.Entry<Integer, TreeSet<Integer>> comprisedRow : theRow.getComprisedRows().entrySet()) { final IntBuffer conversionBuffer = rowNumConversions.get(comprisedRow.getKey()); for (Integer rowNum : comprisedRow.getValue()) { while (conversionBuffer.position() < rowNum) { conversionBuffer.put(INVALID_ROW); } conversionBuffer.put(rowCount); } } if ((++rowCount % 500000) == 0) { log.info("outDir[%s] walked 500,000/%,d rows in %,d millis.", v8OutDir, rowCount, System.currentTimeMillis() - time); time = System.currentTimeMillis(); } } for (IntBuffer rowNumConversion : rowNumConversions) { rowNumConversion.rewind(); } final File timeFile = IndexIO.makeTimeFile(v8OutDir, IndexIO.BYTE_ORDER); timeFile.delete(); OutputSupplier<FileOutputStream> out = Files.newOutputStreamSupplier(timeFile, true); timeWriter.closeAndConsolidate(out); IndexIO.checkFileSize(timeFile); for (int i = 0; i < mergedDimensions.size(); ++i) { forwardDimWriters.get(i).close(); ByteStreams.copy(forwardDimWriters.get(i).combineStreams(), dimOuts.get(i)); } for (MetricColumnSerializer metWriter : metWriters) { metWriter.close(); } ioPeon.cleanup(); log.info("outDir[%s] completed walk through of %,d rows in %,d millis.", v8OutDir, rowCount, System.currentTimeMillis() - startTime); /************ Create Inverted Indexes *************/ startTime = System.currentTimeMillis(); final File invertedFile = new File(v8OutDir, "inverted.drd"); Files.touch(invertedFile); out = Files.newOutputStreamSupplier(invertedFile, true); final File geoFile = new File(v8OutDir, "spatial.drd"); Files.touch(geoFile); OutputSupplier<FileOutputStream> spatialOut = Files.newOutputStreamSupplier(geoFile, true); for (int i = 0; i < mergedDimensions.size(); ++i) { long dimStartTime = System.currentTimeMillis(); String dimension = mergedDimensions.get(i); File dimOutFile = dimOuts.get(i).getFile(); final MappedByteBuffer dimValsMapped = Files.map(dimOutFile); if (!dimension.equals(serializerUtils.readString(dimValsMapped))) { throw new ISE("dimensions[%s] didn't equate!? This is a major WTF moment.", dimension); } Indexed<String> dimVals = GenericIndexed.read(dimValsMapped, GenericIndexed.STRING_STRATEGY); log.info("Starting dimension[%s] with cardinality[%,d]", dimension, dimVals.size()); final BitmapSerdeFactory bitmapSerdeFactory = indexSpec.getBitmapSerdeFactory(); GenericIndexedWriter<ImmutableBitmap> writer = new GenericIndexedWriter<>(ioPeon, dimension, bitmapSerdeFactory.getObjectStrategy()); writer.open(); boolean isSpatialDim = columnCapabilities.get(dimension).hasSpatialIndexes(); ByteBufferWriter<ImmutableRTree> spatialWriter = null; RTree tree = null; IOPeon spatialIoPeon = new TmpFileIOPeon(); if (isSpatialDim) { BitmapFactory bitmapFactory = bitmapSerdeFactory.getBitmapFactory(); spatialWriter = new ByteBufferWriter<ImmutableRTree>(spatialIoPeon, dimension, new IndexedRTree.ImmutableRTreeObjectStrategy(bitmapFactory)); spatialWriter.open(); tree = new RTree(2, new LinearGutmanSplitStrategy(0, 50, bitmapFactory), bitmapFactory); } for (String dimVal : IndexedIterable.create(dimVals)) { progress.progress(); List<Iterable<Integer>> convertedInverteds = Lists.newArrayListWithCapacity(indexes.size()); for (int j = 0; j < indexes.size(); ++j) { convertedInverteds.add(new ConvertingIndexedInts( indexes.get(j).getBitmapIndex(dimension, dimVal), rowNumConversions.get(j))); } MutableBitmap bitset = bitmapSerdeFactory.getBitmapFactory().makeEmptyMutableBitmap(); for (Integer row : CombiningIterable.createSplatted(convertedInverteds, Ordering.<Integer>natural().nullsFirst())) { if (row != INVALID_ROW) { bitset.add(row); } } writer.write(bitmapSerdeFactory.getBitmapFactory().makeImmutableBitmap(bitset)); if (isSpatialDim && dimVal != null) { List<String> stringCoords = Lists.newArrayList(SPLITTER.split(dimVal)); float[] coords = new float[stringCoords.size()]; for (int j = 0; j < coords.length; j++) { coords[j] = Float.valueOf(stringCoords.get(j)); } tree.insert(coords, bitset); } } writer.close(); serializerUtils.writeString(out, dimension); ByteStreams.copy(writer.combineStreams(), out); ioPeon.cleanup(); log.info("Completed dimension[%s] in %,d millis.", dimension, System.currentTimeMillis() - dimStartTime); if (isSpatialDim) { spatialWriter.write(ImmutableRTree.newImmutableFromMutable(tree)); spatialWriter.close(); serializerUtils.writeString(spatialOut, dimension); ByteStreams.copy(spatialWriter.combineStreams(), spatialOut); spatialIoPeon.cleanup(); } } log.info("outDir[%s] completed inverted.drd in %,d millis.", v8OutDir, System.currentTimeMillis() - startTime); final ArrayList<String> expectedFiles = Lists.newArrayList(Iterables.concat( Arrays.asList("index.drd", "inverted.drd", "spatial.drd", String.format("time_%s.drd", IndexIO.BYTE_ORDER)), Iterables.transform(mergedDimensions, GuavaUtils.formatFunction("dim_%s.drd")), Iterables.transform(mergedMetrics, GuavaUtils.formatFunction(String.format("met_%%s_%s.drd", IndexIO.BYTE_ORDER))))); if (segmentMetadata != null && !segmentMetadata.isEmpty()) { writeMetadataToFile(new File(v8OutDir, "metadata.drd"), segmentMetadata); log.info("wrote metadata.drd in outDir[%s].", v8OutDir); expectedFiles.add("metadata.drd"); } Map<String, File> files = Maps.newLinkedHashMap(); for (String fileName : expectedFiles) { files.put(fileName, new File(v8OutDir, fileName)); } File smooshDir = new File(v8OutDir, "smoosher"); smooshDir.mkdir(); for (Map.Entry<String, File> entry : Smoosh.smoosh(v8OutDir, smooshDir, files).entrySet()) { entry.getValue().delete(); } for (File file : smooshDir.listFiles()) { Files.move(file, new File(v8OutDir, file.getName())); } if (!smooshDir.delete()) { log.info("Unable to delete temporary dir[%s], contains[%s]", smooshDir, Arrays.asList(smooshDir.listFiles())); throw new IOException(String.format("Unable to delete temporary dir[%s]", smooshDir)); } createIndexDrdFile(IndexIO.V8_VERSION, v8OutDir, GenericIndexed.fromIterable(mergedDimensions, GenericIndexed.STRING_STRATEGY), GenericIndexed.fromIterable(mergedMetrics, GenericIndexed.STRING_STRATEGY), dataInterval, indexSpec.getBitmapSerdeFactory()); IndexIO.DefaultIndexIOHandler.convertV8toV9(v8OutDir, outDir, indexSpec); FileUtils.deleteDirectory(v8OutDir); return outDir; }
From source file:haven.Utils.java
public static IntBuffer wibuf(int n) { return (IntBuffer.wrap(new int[n])); }