Examples with ComplexMetricSerde io.druid.segment.serde.ComplexMetricSerde used on opensource projects

Example 1 with ComplexMetricSerde

use of io.druid.segment.serde.ComplexMetricSerde in project druid by druid-io.

the class StringArrayWritable method fromBytes.

public static final InputRow fromBytes(byte[] data, AggregatorFactory[] aggs) {
    try {
        DataInput in = ByteStreams.newDataInput(data);
        //Read timestamp
        long timestamp = in.readLong();
        Map<String, Object> event = Maps.newHashMap();
        //Read dimensions
        List<String> dimensions = Lists.newArrayList();
        int dimNum = WritableUtils.readVInt(in);
        for (int i = 0; i < dimNum; i++) {
            String dimension = readString(in);
            dimensions.add(dimension);
            List<String> dimensionValues = readStringArray(in);
            if (dimensionValues == null) {
                continue;
            }
            if (dimensionValues.size() == 1) {
                event.put(dimension, dimensionValues.get(0));
            } else {
                event.put(dimension, dimensionValues);
            }
        }
        //Read metrics
        int metricSize = WritableUtils.readVInt(in);
        for (int i = 0; i < metricSize; i++) {
            String metric = readString(in);
            String type = getType(metric, aggs, i);
            if (type.equals("float")) {
                event.put(metric, in.readFloat());
            } else if (type.equals("long")) {
                event.put(metric, WritableUtils.readVLong(in));
            } else {
                ComplexMetricSerde serde = getComplexMetricSerde(type);
                byte[] value = readBytes(in);
                event.put(metric, serde.fromBytes(value, 0, value.length));
            }
        }
        return new MapBasedInputRow(timestamp, dimensions, event);
    } catch (IOException ex) {
        throw Throwables.propagate(ex);
    }
}

Example 2 with ComplexMetricSerde

use of io.druid.segment.serde.ComplexMetricSerde in project druid by druid-io.

the class StringArrayWritable method toBytes.

public static final byte[] toBytes(final InputRow row, AggregatorFactory[] aggs, boolean reportParseExceptions) {
    try {
        ByteArrayDataOutput out = ByteStreams.newDataOutput();
        //write timestamp
        out.writeLong(row.getTimestampFromEpoch());
        //writing all dimensions
        List<String> dimList = row.getDimensions();
        WritableUtils.writeVInt(out, dimList.size());
        if (dimList != null) {
            for (String dim : dimList) {
                List<String> dimValues = row.getDimension(dim);
                writeString(dim, out);
                writeStringArray(dimValues, out);
            }
        }
        //writing all metrics
        Supplier<InputRow> supplier = new Supplier<InputRow>() {

            @Override
            public InputRow get() {
                return row;
            }
        };
        WritableUtils.writeVInt(out, aggs.length);
        for (AggregatorFactory aggFactory : aggs) {
            String k = aggFactory.getName();
            writeString(k, out);
            Aggregator agg = aggFactory.factorize(IncrementalIndex.makeColumnSelectorFactory(VirtualColumns.EMPTY, aggFactory, supplier, true));
            try {
                agg.aggregate();
            } catch (ParseException e) {
                // "aggregate" can throw ParseExceptions if a selector expects something but gets something else.
                if (reportParseExceptions) {
                    throw new ParseException(e, "Encountered parse error for aggregator[%s]", k);
                }
                log.debug(e, "Encountered parse error, skipping aggregator[%s].", k);
            }
            String t = aggFactory.getTypeName();
            if (t.equals("float")) {
                out.writeFloat(agg.getFloat());
            } else if (t.equals("long")) {
                WritableUtils.writeVLong(out, agg.getLong());
            } else {
                //its a complex metric
                Object val = agg.get();
                ComplexMetricSerde serde = getComplexMetricSerde(t);
                writeBytes(serde.toBytes(val), out);
            }
        }
        return out.toByteArray();
    } catch (IOException ex) {
        throw Throwables.propagate(ex);
    }
}

Example 3 with ComplexMetricSerde

use of io.druid.segment.serde.ComplexMetricSerde in project druid by druid-io.

the class SegmentAnalyzer method analyzeComplexColumn.

private ColumnAnalysis analyzeComplexColumn(@Nullable final ColumnCapabilities capabilities, @Nullable final Column column, final String typeName) {
    try (final ComplexColumn complexColumn = column != null ? column.getComplexColumn() : null) {
        final boolean hasMultipleValues = capabilities != null && capabilities.hasMultipleValues();
        long size = 0;
        if (analyzingSize() && complexColumn != null) {
            final ComplexMetricSerde serde = ComplexMetrics.getSerdeForType(typeName);
            if (serde == null) {
                return ColumnAnalysis.error(String.format("unknown_complex_%s", typeName));
            }
            final Function<Object, Long> inputSizeFn = serde.inputSizeFn();
            if (inputSizeFn == null) {
                return new ColumnAnalysis(typeName, hasMultipleValues, 0, null, null, null, null);
            }
            final int length = column.getLength();
            for (int i = 0; i < length; ++i) {
                size += inputSizeFn.apply(complexColumn.getRowValue(i));
            }
        }
        return new ColumnAnalysis(typeName, hasMultipleValues, size, null, null, null, null);
    }
}

Example 4 with ComplexMetricSerde

use of io.druid.segment.serde.ComplexMetricSerde 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 5 with ComplexMetricSerde

use of io.druid.segment.serde.ComplexMetricSerde in project druid by druid-io.

the class MetricHolder method fromByteBuffer.

public static MetricHolder fromByteBuffer(ByteBuffer buf, ObjectStrategy strategy, SmooshedFileMapper mapper) throws IOException {
    final byte ver = buf.get();
    if (version[0] != ver) {
        throw new ISE("Unknown version[%s] of MetricHolder", ver);
    }
    final String metricName = serializerUtils.readString(buf);
    final String typeName = serializerUtils.readString(buf);
    MetricHolder holder = new MetricHolder(metricName, typeName);
    switch(holder.type) {
        case LONG:
            holder.longType = CompressedLongsIndexedSupplier.fromByteBuffer(buf, ByteOrder.nativeOrder(), mapper);
            break;
        case FLOAT:
            holder.floatType = CompressedFloatsIndexedSupplier.fromByteBuffer(buf, ByteOrder.nativeOrder(), mapper);
            break;
        case COMPLEX:
            if (strategy != null) {
                holder.complexType = GenericIndexed.read(buf, strategy, mapper);
            } else {
                final ComplexMetricSerde serdeForType = ComplexMetrics.getSerdeForType(holder.getTypeName());
                if (serdeForType == null) {
                    throw new ISE("Unknown type[%s], cannot load.", holder.getTypeName());
                }
                holder.complexType = GenericIndexed.read(buf, serdeForType.getObjectStrategy());
            }
            break;
    }
    return holder;
}