Examples with ByteSink com.google.common.io.ByteSink used on opensource projects

Example 1 with ByteSink

use of com.google.common.io.ByteSink in project druid by druid-io.

the class LongCompressionBenchmarkFileGenerator method main.

public static void main(String[] args) throws IOException, URISyntaxException {
    if (args.length >= 1) {
        dirPath = args[0];
    }
    BenchmarkColumnSchema enumeratedSchema = BenchmarkColumnSchema.makeEnumerated("", ValueType.LONG, true, 1, 0d, ImmutableList.<Object>of(0, 1, 2, 3, 4), ImmutableList.of(0.95, 0.001, 0.0189, 0.03, 0.0001));
    BenchmarkColumnSchema zipfLowSchema = BenchmarkColumnSchema.makeZipf("", ValueType.LONG, true, 1, 0d, -1, 1000, 1d);
    BenchmarkColumnSchema zipfHighSchema = BenchmarkColumnSchema.makeZipf("", ValueType.LONG, true, 1, 0d, -1, 1000, 3d);
    BenchmarkColumnSchema sequentialSchema = BenchmarkColumnSchema.makeSequential("", ValueType.LONG, true, 1, 0d, 1470187671, 2000000000);
    BenchmarkColumnSchema uniformSchema = BenchmarkColumnSchema.makeDiscreteUniform("", ValueType.LONG, true, 1, 0d, 0, 1000);
    Map<String, BenchmarkColumnValueGenerator> generators = new HashMap<>();
    generators.put("enumerate", new BenchmarkColumnValueGenerator(enumeratedSchema, 1));
    generators.put("zipfLow", new BenchmarkColumnValueGenerator(zipfLowSchema, 1));
    generators.put("zipfHigh", new BenchmarkColumnValueGenerator(zipfHighSchema, 1));
    generators.put("sequential", new BenchmarkColumnValueGenerator(sequentialSchema, 1));
    generators.put("uniform", new BenchmarkColumnValueGenerator(uniformSchema, 1));
    File dir = new File(dirPath);
    dir.mkdir();
    // create data files using BenchmarkColunValueGenerator
    for (Map.Entry<String, BenchmarkColumnValueGenerator> entry : generators.entrySet()) {
        final File dataFile = new File(dir, entry.getKey());
        dataFile.delete();
        try (Writer writer = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(dataFile)))) {
            for (int i = 0; i < ROW_NUM; i++) {
                writer.write((long) entry.getValue().generateRowValue() + "\n");
            }
        }
    }
    // create compressed files using all combinations of CompressionStrategy and LongEncoding provided
    for (Map.Entry<String, BenchmarkColumnValueGenerator> entry : generators.entrySet()) {
        for (CompressedObjectStrategy.CompressionStrategy compression : compressions) {
            for (CompressionFactory.LongEncodingStrategy encoding : encodings) {
                String name = entry.getKey() + "-" + compression.toString() + "-" + encoding.toString();
                System.out.print(name + ": ");
                File compFile = new File(dir, name);
                compFile.delete();
                File dataFile = new File(dir, entry.getKey());
                TmpFileIOPeon iopeon = new TmpFileIOPeon(true);
                LongSupplierSerializer writer = CompressionFactory.getLongSerializer(iopeon, "long", ByteOrder.nativeOrder(), encoding, compression);
                BufferedReader br = new BufferedReader(new InputStreamReader(new FileInputStream(dataFile)));
                try (FileChannel output = FileChannel.open(compFile.toPath(), StandardOpenOption.CREATE_NEW, StandardOpenOption.WRITE)) {
                    writer.open();
                    String line;
                    while ((line = br.readLine()) != null) {
                        writer.add(Long.parseLong(line));
                    }
                    final ByteArrayOutputStream baos = new ByteArrayOutputStream();
                    writer.closeAndConsolidate(new ByteSink() {

                        @Override
                        public OutputStream openStream() throws IOException {
                            return baos;
                        }
                    });
                    output.write(ByteBuffer.wrap(baos.toByteArray()));
                } finally {
                    iopeon.close();
                    br.close();
                }
                System.out.print(compFile.length() / 1024 + "\n");
            }
        }
    }
}

Example 2 with ByteSink

use of com.google.common.io.ByteSink in project druid by druid-io.

the class StreamUtilsTest method testRetryExceptionOnFlush.

@Test
public void testRetryExceptionOnFlush() {
    final byte[] bytes = new byte[1 << 10];
    Random random = new Random(47831947819L);
    random.nextBytes(bytes);
    final ByteArrayOutputStream byteArrayOutputStream = new ByteArrayOutputStream();
    final AtomicLong outputFlushes = new AtomicLong(0);
    Assert.assertEquals(bytes.length, StreamUtils.retryCopy(new ByteSource() {

        @Override
        public InputStream openStream() throws IOException {
            return new ByteArrayInputStream(bytes);
        }
    }, new ByteSink() {

        @Override
        public OutputStream openStream() throws IOException {
            byteArrayOutputStream.reset();
            return new FilterOutputStream(byteArrayOutputStream) {

                @Override
                public void flush() throws IOException {
                    if (outputFlushes.getAndIncrement() > 0) {
                        out.flush();
                    } else {
                        throw new IOException("Test exception");
                    }
                }
            };
        }
    }, FileUtils.IS_EXCEPTION, 10));
    // 2 closes and 2 manual flushes
    Assert.assertEquals(4, outputFlushes.get());
    Assert.assertArrayEquals(bytes, byteArrayOutputStream.toByteArray());
}

Example 3 with ByteSink

use of com.google.common.io.ByteSink in project druid by druid-io.

the class IndexMerger method makeIndexFiles.

protected File makeIndexFiles(final List<IndexableAdapter> indexes, final AggregatorFactory[] metricAggs, final File outDir, final ProgressIndicator progress, final List<String> mergedDimensions, final List<String> mergedMetrics, final Function<ArrayList<Iterable<Rowboat>>, Iterable<Rowboat>> rowMergerFn, final IndexSpec indexSpec) throws IOException {
    List<Metadata> metadataList = Lists.transform(indexes, new Function<IndexableAdapter, Metadata>() {

        @Nullable
        @Override
        public Metadata apply(IndexableAdapter input) {
            return input.getMetadata();
        }
    });
    Metadata segmentMetadata = null;
    if (metricAggs != null) {
        AggregatorFactory[] combiningMetricAggs = new AggregatorFactory[metricAggs.length];
        for (int i = 0; i < metricAggs.length; i++) {
            combiningMetricAggs[i] = metricAggs[i].getCombiningFactory();
        }
        segmentMetadata = Metadata.merge(metadataList, combiningMetricAggs);
    } else {
        segmentMetadata = Metadata.merge(metadataList, null);
    }
    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();
    final List<ColumnCapabilitiesImpl> dimCapabilities = new ArrayList<>();
    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();
            }
            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));
        }
    }
    for (String dimension : mergedDimensions) {
        dimCapabilities.add(columnCapabilities.get(dimension));
    }
    Closer closer = Closer.create();
    try {
        final Interval dataInterval;
        final File v8OutDir = new File(outDir, "v8-tmp");
        FileUtils.forceMkdir(v8OutDir);
        registerDeleteDirectory(closer, v8OutDir);
        File tmpPeonFilesDir = new File(v8OutDir, "tmpPeonFiles");
        FileUtils.forceMkdir(tmpPeonFilesDir);
        registerDeleteDirectory(closer, tmpPeonFilesDir);
        final IOPeon ioPeon = new TmpFileIOPeon(tmpPeonFilesDir, true);
        closer.register(ioPeon);
        /*************  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();
        final ArrayList<FileOutputSupplier> dimOuts = Lists.newArrayListWithCapacity(mergedDimensions.size());
        final DimensionHandler[] handlers = makeDimensionHandlers(mergedDimensions, dimCapabilities);
        final List<DimensionMerger> mergers = new ArrayList<>();
        for (int i = 0; i < mergedDimensions.size(); i++) {
            DimensionMergerLegacy merger = handlers[i].makeLegacyMerger(indexSpec, v8OutDir, ioPeon, dimCapabilities.get(i), progress);
            mergers.add(merger);
            merger.writeMergedValueMetadata(indexes);
            FileOutputSupplier dimOut = new FileOutputSupplier(merger.makeDimFile(), true);
            merger.writeValueMetadataToFile(dimOut);
            dimOuts.add(dimOut);
        }
        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();
        Iterable<Rowboat> theRows = makeRowIterable(indexes, mergedDimensions, mergedMetrics, rowMergerFn, dimCapabilities, handlers, mergers);
        LongSupplierSerializer timeWriter = CompressionFactory.getLongSerializer(ioPeon, "little_end_time", IndexIO.BYTE_ORDER, indexSpec.getLongEncoding(), CompressedObjectStrategy.DEFAULT_COMPRESSION_STRATEGY);
        timeWriter.open();
        ArrayList<MetricColumnSerializer> metWriters = Lists.newArrayListWithCapacity(mergedMetrics.size());
        final CompressedObjectStrategy.CompressionStrategy metCompression = indexSpec.getMetricCompression();
        final CompressionFactory.LongEncodingStrategy longEncoding = indexSpec.getLongEncoding();
        for (String metric : mergedMetrics) {
            ValueType type = valueTypes.get(metric);
            switch(type) {
                case LONG:
                    metWriters.add(new LongMetricColumnSerializer(metric, v8OutDir, ioPeon, metCompression, longEncoding));
                    break;
                case FLOAT:
                    metWriters.add(new FloatMetricColumnSerializer(metric, v8OutDir, ioPeon, metCompression));
                    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]);
            }
            Object[] dims = theRow.getDims();
            for (int i = 0; i < dims.length; ++i) {
                mergers.get(i).processMergedRow(dims[i]);
            }
            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();
        ByteSink out = Files.asByteSink(timeFile, FileWriteMode.APPEND);
        timeWriter.closeAndConsolidate(out);
        IndexIO.checkFileSize(timeFile);
        for (MetricColumnSerializer metWriter : metWriters) {
            metWriter.close();
        }
        log.info("outDir[%s] completed walk through of %,d rows in %,d millis.", v8OutDir, rowCount, System.currentTimeMillis() - startTime);
        /************ Create Inverted Indexes and Finalize Columns *************/
        startTime = System.currentTimeMillis();
        final File invertedFile = new File(v8OutDir, "inverted.drd");
        Files.touch(invertedFile);
        out = Files.asByteSink(invertedFile, FileWriteMode.APPEND);
        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++) {
            DimensionMergerLegacy legacyMerger = (DimensionMergerLegacy) mergers.get(i);
            legacyMerger.writeIndexes(rowNumConversions, closer);
            legacyMerger.writeIndexesToFiles(out, spatialOut);
            legacyMerger.writeRowValuesToFile(dimOuts.get(i));
        }
        log.info("outDir[%s] completed inverted.drd and wrote dimensions in %,d millis.", v8OutDir, System.currentTimeMillis() - startTime);
        final Function<String, String> dimFilenameFunction = new Function<String, String>() {

            @Override
            public String apply(@Nullable String input) {
                String formatString;
                if (columnCapabilities.get(input).isDictionaryEncoded()) {
                    formatString = "dim_%s.drd";
                } else {
                    formatString = String.format("numeric_dim_%%s_%s.drd", IndexIO.BYTE_ORDER);
                }
                return GuavaUtils.formatFunction(formatString).apply(input);
            }
        };
        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, dimFilenameFunction), Iterables.transform(mergedMetrics, GuavaUtils.formatFunction(String.format("met_%%s_%s.drd", IndexIO.BYTE_ORDER)))));
        if (segmentMetadata != null) {
            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");
        FileUtils.forceMkdir(smooshDir);
        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.getDefaultIndexIOHandler().convertV8toV9(v8OutDir, outDir, indexSpec);
        return outDir;
    } catch (Throwable t) {
        throw closer.rethrow(t);
    } finally {
        closer.close();
    }
}

Example 4 with ByteSink

use of com.google.common.io.ByteSink in project druid by druid-io.

the class CompressedLongsSerdeTest method testValues.

public void testValues(long[] values) throws Exception {
    LongSupplierSerializer serializer = CompressionFactory.getLongSerializer(new IOPeonForTesting(), "test", order, encodingStrategy, compressionStrategy);
    serializer.open();
    for (long value : values) {
        serializer.add(value);
    }
    Assert.assertEquals(values.length, serializer.size());
    final ByteArrayOutputStream baos = new ByteArrayOutputStream();
    serializer.closeAndConsolidate(new ByteSink() {

        @Override
        public OutputStream openStream() throws IOException {
            return baos;
        }
    });
    Assert.assertEquals(baos.size(), serializer.getSerializedSize());
    CompressedLongsIndexedSupplier supplier = CompressedLongsIndexedSupplier.fromByteBuffer(ByteBuffer.wrap(baos.toByteArray()), order, null);
    IndexedLongs longs = supplier.get();
    assertIndexMatchesVals(longs, values);
    for (int i = 0; i < 10; i++) {
        int a = (int) (Math.random() * values.length);
        int b = (int) (Math.random() * values.length);
        int start = a < b ? a : b;
        int end = a < b ? b : a;
        tryFill(longs, values, start, end - start);
    }
    testSupplierSerde(supplier, values);
    testConcurrentThreadReads(supplier, longs, values);
    longs.close();
}

Example 5 with ByteSink

use of com.google.common.io.ByteSink in project druid by druid-io.

the class CompressionUtilsTest method testGoodGzipWithException.

@Test
public void testGoodGzipWithException() throws Exception {
    final AtomicLong flushes = new AtomicLong(0);
    final File tmpDir = temporaryFolder.newFolder("testGoodGzipByteSource");
    final File gzFile = new File(tmpDir, testFile.getName() + ".gz");
    Assert.assertFalse(gzFile.exists());
    CompressionUtils.gzip(Files.asByteSource(testFile), new ByteSink() {

        @Override
        public OutputStream openStream() throws IOException {
            return new FilterOutputStream(new FileOutputStream(gzFile)) {

                @Override
                public void flush() throws IOException {
                    if (flushes.getAndIncrement() > 0) {
                        super.flush();
                    } else {
                        throw new IOException("Haven't flushed enough");
                    }
                }
            };
        }
    }, Predicates.<Throwable>alwaysTrue());
    Assert.assertTrue(gzFile.exists());
    try (final InputStream inputStream = CompressionUtils.gzipInputStream(new FileInputStream(gzFile))) {
        assertGoodDataStream(inputStream);
    }
    if (!testFile.delete()) {
        throw new IOException(String.format("Unable to delete file [%s]", testFile.getAbsolutePath()));
    }
    Assert.assertFalse(testFile.exists());
    CompressionUtils.gunzip(Files.asByteSource(gzFile), testFile);
    Assert.assertTrue(testFile.exists());
    try (final InputStream inputStream = new FileInputStream(testFile)) {
        assertGoodDataStream(inputStream);
    }
    // 2 for suppressed closes, 2 for manual calls to shake out errors
    Assert.assertEquals(4, flushes.get());
}