Examples with ValueType io.druid.segment.column.ValueType used on opensource projects

Example 6 with ValueType

use of io.druid.segment.column.ValueType in project druid by druid-io.

the class BenchmarkColumnValueGenerator method generateSingleRowValue.

private Object generateSingleRowValue() {
    Object ret = null;
    ValueType type = schema.getType();
    if (distribution instanceof AbstractIntegerDistribution) {
        ret = ((AbstractIntegerDistribution) distribution).sample();
    } else if (distribution instanceof AbstractRealDistribution) {
        ret = ((AbstractRealDistribution) distribution).sample();
    } else if (distribution instanceof EnumeratedDistribution) {
        ret = ((EnumeratedDistribution) distribution).sample();
    }
    ret = convertType(ret, type);
    return ret;
}

Example 7 with ValueType

use of io.druid.segment.column.ValueType in project druid by druid-io.

the class RowBasedGrouperHelper method makeValueConvertFunctions.

@SuppressWarnings("unchecked")
private static Function<Comparable, Comparable>[] makeValueConvertFunctions(final List<ValueType> valueTypes) {
    final Function<Comparable, Comparable>[] functions = new Function[valueTypes.size()];
    for (int i = 0; i < functions.length; i++) {
        ValueType type = valueTypes.get(i);
        // Subquery post-aggs aren't added to the rowSignature (see rowSignatureFor() in GroupByQueryHelper) because
        // their types aren't known, so default to String handling.
        type = type == null ? ValueType.STRING : type;
        switch(type) {
            case STRING:
                functions[i] = new Function<Comparable, Comparable>() {

                    @Override
                    public Comparable apply(@Nullable Comparable input) {
                        return input == null ? "" : input.toString();
                    }
                };
                break;
            case LONG:
                functions[i] = new Function<Comparable, Comparable>() {

                    @Override
                    public Comparable apply(@Nullable Comparable input) {
                        final Long val = DimensionHandlerUtils.convertObjectToLong(input);
                        return val == null ? 0L : val;
                    }
                };
                break;
            case FLOAT:
                functions[i] = new Function<Comparable, Comparable>() {

                    @Override
                    public Comparable apply(@Nullable Comparable input) {
                        final Float val = DimensionHandlerUtils.convertObjectToFloat(input);
                        return val == null ? 0.f : val;
                    }
                };
                break;
            default:
                throw new IAE("invalid type: [%s]", type);
        }
    }
    return functions;
}

Example 8 with ValueType

use of io.druid.segment.column.ValueType in project druid by druid-io.

the class RowBasedGrouperHelper method makeValueConvertFunctions.

@SuppressWarnings("unchecked")
private static Function<Comparable, Comparable>[] makeValueConvertFunctions(final Map<String, ValueType> rawInputRowSignature, final List<DimensionSpec> dimensions) {
    final List<ValueType> valueTypes = Lists.newArrayListWithCapacity(dimensions.size());
    for (DimensionSpec dimensionSpec : dimensions) {
        final ValueType valueType = rawInputRowSignature.get(dimensionSpec);
        valueTypes.add(valueType == null ? ValueType.STRING : valueType);
    }
    return makeValueConvertFunctions(valueTypes);
}

Example 9 with ValueType

use of io.druid.segment.column.ValueType in project druid by druid-io.

the class IndexIO method validateRowValues.

public static void validateRowValues(Map<String, DimensionHandler> dimHandlers, Rowboat rb1, IndexableAdapter adapter1, Rowboat rb2, IndexableAdapter adapter2) {
    if (rb1.getTimestamp() != rb2.getTimestamp()) {
        throw new SegmentValidationException("Timestamp mismatch. Expected %d found %d", rb1.getTimestamp(), rb2.getTimestamp());
    }
    final Object[] dims1 = rb1.getDims();
    final Object[] dims2 = rb2.getDims();
    if (dims1.length != dims2.length) {
        throw new SegmentValidationException("Dim lengths not equal %s vs %s", Arrays.deepToString(dims1), Arrays.deepToString(dims2));
    }
    final Indexed<String> dim1Names = adapter1.getDimensionNames();
    final Indexed<String> dim2Names = adapter2.getDimensionNames();
    for (int i = 0; i < dims1.length; ++i) {
        final Object dim1Vals = dims1[i];
        final Object dim2Vals = dims2[i];
        final String dim1Name = dim1Names.get(i);
        final String dim2Name = dim2Names.get(i);
        ColumnCapabilities capabilities1 = adapter1.getCapabilities(dim1Name);
        ColumnCapabilities capabilities2 = adapter2.getCapabilities(dim2Name);
        ValueType dim1Type = capabilities1.getType();
        ValueType dim2Type = capabilities2.getType();
        if (dim1Type != dim2Type) {
            throw new SegmentValidationException("Dim [%s] types not equal. Expected %d found %d", dim1Name, dim1Type, dim2Type);
        }
        DimensionHandler dimHandler = dimHandlers.get(dim1Name);
        dimHandler.validateSortedEncodedKeyComponents(dim1Vals, dim2Vals, adapter1.getDimValueLookup(dim1Name), adapter2.getDimValueLookup(dim2Name));
    }
}

Example 10 with ValueType

use of io.druid.segment.column.ValueType 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();
    }
}