Examples with CacheStrategy org.apache.druid.query.CacheStrategy used on opensource projects

Example 6 with CacheStrategy

use of org.apache.druid.query.CacheStrategy in project druid by druid-io.

the class GroupByQueryQueryToolChest method getCacheStrategy.

@Override
public CacheStrategy<ResultRow, Object, GroupByQuery> getCacheStrategy(final GroupByQuery query) {
    return new CacheStrategy<ResultRow, Object, GroupByQuery>() {

        private static final byte CACHE_STRATEGY_VERSION = 0x1;

        private final List<AggregatorFactory> aggs = query.getAggregatorSpecs();

        private final List<DimensionSpec> dims = query.getDimensions();

        @Override
        public boolean isCacheable(GroupByQuery query, boolean willMergeRunners) {
            return strategySelector.strategize(query).isCacheable(willMergeRunners);
        }

        @Override
        public byte[] computeCacheKey(GroupByQuery query) {
            CacheKeyBuilder builder = new CacheKeyBuilder(GROUPBY_QUERY).appendByte(CACHE_STRATEGY_VERSION).appendCacheable(query.getGranularity()).appendCacheable(query.getDimFilter()).appendCacheables(query.getAggregatorSpecs()).appendCacheables(query.getDimensions()).appendCacheable(query.getVirtualColumns());
            if (query.isApplyLimitPushDown()) {
                builder.appendCacheable(query.getLimitSpec());
            }
            return builder.build();
        }

        @Override
        public byte[] computeResultLevelCacheKey(GroupByQuery query) {
            final CacheKeyBuilder builder = new CacheKeyBuilder(GROUPBY_QUERY).appendByte(CACHE_STRATEGY_VERSION).appendCacheable(query.getGranularity()).appendCacheable(query.getDimFilter()).appendCacheables(query.getAggregatorSpecs()).appendCacheables(query.getDimensions()).appendCacheable(query.getVirtualColumns()).appendCacheable(query.getHavingSpec()).appendCacheable(query.getLimitSpec()).appendCacheables(query.getPostAggregatorSpecs());
            if (query.getSubtotalsSpec() != null && !query.getSubtotalsSpec().isEmpty()) {
                for (List<String> subTotalSpec : query.getSubtotalsSpec()) {
                    builder.appendStrings(subTotalSpec);
                }
            }
            return builder.build();
        }

        @Override
        public TypeReference<Object> getCacheObjectClazz() {
            return OBJECT_TYPE_REFERENCE;
        }

        @Override
        public Function<ResultRow, Object> prepareForCache(boolean isResultLevelCache) {
            final boolean resultRowHasTimestamp = query.getResultRowHasTimestamp();
            return new Function<ResultRow, Object>() {

                @Override
                public Object apply(ResultRow resultRow) {
                    final List<Object> retVal = new ArrayList<>(1 + dims.size() + aggs.size());
                    int inPos = 0;
                    if (resultRowHasTimestamp) {
                        retVal.add(resultRow.getLong(inPos++));
                    } else {
                        retVal.add(query.getUniversalTimestamp().getMillis());
                    }
                    for (int i = 0; i < dims.size(); i++) {
                        retVal.add(resultRow.get(inPos++));
                    }
                    for (int i = 0; i < aggs.size(); i++) {
                        retVal.add(resultRow.get(inPos++));
                    }
                    if (isResultLevelCache) {
                        for (int i = 0; i < query.getPostAggregatorSpecs().size(); i++) {
                            retVal.add(resultRow.get(inPos++));
                        }
                    }
                    return retVal;
                }
            };
        }

        @Override
        public Function<Object, ResultRow> pullFromCache(boolean isResultLevelCache) {
            final boolean resultRowHasTimestamp = query.getResultRowHasTimestamp();
            final int dimensionStart = query.getResultRowDimensionStart();
            final int aggregatorStart = query.getResultRowAggregatorStart();
            final int postAggregatorStart = query.getResultRowPostAggregatorStart();
            return new Function<Object, ResultRow>() {

                private final Granularity granularity = query.getGranularity();

                @Override
                public ResultRow apply(Object input) {
                    Iterator<Object> results = ((List<Object>) input).iterator();
                    DateTime timestamp = granularity.toDateTime(((Number) results.next()).longValue());
                    final int size = isResultLevelCache ? query.getResultRowSizeWithPostAggregators() : query.getResultRowSizeWithoutPostAggregators();
                    final ResultRow resultRow = ResultRow.create(size);
                    if (resultRowHasTimestamp) {
                        resultRow.set(0, timestamp.getMillis());
                    }
                    final Iterator<DimensionSpec> dimsIter = dims.iterator();
                    int dimPos = 0;
                    while (dimsIter.hasNext() && results.hasNext()) {
                        final DimensionSpec dimensionSpec = dimsIter.next();
                        // Must convert generic Jackson-deserialized type into the proper type.
                        resultRow.set(dimensionStart + dimPos, DimensionHandlerUtils.convertObjectToType(results.next(), dimensionSpec.getOutputType()));
                        dimPos++;
                    }
                    CacheStrategy.fetchAggregatorsFromCache(aggs, results, isResultLevelCache, (aggName, aggPosition, aggValueObject) -> {
                        resultRow.set(aggregatorStart + aggPosition, aggValueObject);
                    });
                    if (isResultLevelCache) {
                        Iterator<PostAggregator> postItr = query.getPostAggregatorSpecs().iterator();
                        int postPos = 0;
                        while (postItr.hasNext() && results.hasNext()) {
                            resultRow.set(postAggregatorStart + postPos, results.next());
                        }
                    }
                    if (dimsIter.hasNext() || results.hasNext()) {
                        throw new ISE("Found left over objects while reading from cache!! dimsIter[%s] results[%s]", dimsIter.hasNext(), results.hasNext());
                    }
                    return resultRow;
                }
            };
        }
    };
}

Example 7 with CacheStrategy

use of org.apache.druid.query.CacheStrategy in project druid by druid-io.

the class TopNQueryQueryToolChest method getCacheStrategy.

@Override
public CacheStrategy<Result<TopNResultValue>, Object, TopNQuery> getCacheStrategy(final TopNQuery query) {
    return new CacheStrategy<Result<TopNResultValue>, Object, TopNQuery>() {

        private final List<AggregatorFactory> aggs = Lists.newArrayList(query.getAggregatorSpecs());

        private final List<PostAggregator> postAggs = AggregatorUtil.pruneDependentPostAgg(query.getPostAggregatorSpecs(), query.getTopNMetricSpec().getMetricName(query.getDimensionSpec()));

        @Override
        public boolean isCacheable(TopNQuery query, boolean willMergeRunners) {
            return true;
        }

        @Override
        public byte[] computeCacheKey(TopNQuery query) {
            final CacheKeyBuilder builder = new CacheKeyBuilder(TOPN_QUERY).appendCacheable(query.getDimensionSpec()).appendCacheable(query.getTopNMetricSpec()).appendInt(query.getThreshold()).appendCacheable(query.getGranularity()).appendCacheable(query.getDimensionsFilter()).appendCacheables(query.getAggregatorSpecs()).appendCacheable(query.getVirtualColumns());
            final List<PostAggregator> postAggregators = prunePostAggregators(query);
            if (!postAggregators.isEmpty()) {
                // Append post aggregators only when they are used as sort keys.
                // Note that appending an empty list produces a different cache key from not appending it.
                builder.appendCacheablesIgnoringOrder(postAggregators);
            }
            return builder.build();
        }

        @Override
        public byte[] computeResultLevelCacheKey(TopNQuery query) {
            final CacheKeyBuilder builder = new CacheKeyBuilder(TOPN_QUERY).appendCacheable(query.getDimensionSpec()).appendCacheable(query.getTopNMetricSpec()).appendInt(query.getThreshold()).appendCacheable(query.getGranularity()).appendCacheable(query.getDimensionsFilter()).appendCacheables(query.getAggregatorSpecs()).appendCacheable(query.getVirtualColumns()).appendCacheables(query.getPostAggregatorSpecs());
            return builder.build();
        }

        @Override
        public TypeReference<Object> getCacheObjectClazz() {
            return OBJECT_TYPE_REFERENCE;
        }

        @Override
        public Function<Result<TopNResultValue>, Object> prepareForCache(boolean isResultLevelCache) {
            return new Function<Result<TopNResultValue>, Object>() {

                private final String[] aggFactoryNames = extractFactoryName(query.getAggregatorSpecs());

                @Override
                public Object apply(final Result<TopNResultValue> input) {
                    List<DimensionAndMetricValueExtractor> results = Lists.newArrayList(input.getValue());
                    final List<Object> retVal = Lists.newArrayListWithCapacity(results.size() + 1);
                    // make sure to preserve timezone information when caching results
                    retVal.add(input.getTimestamp().getMillis());
                    for (DimensionAndMetricValueExtractor result : results) {
                        List<Object> vals = Lists.newArrayListWithCapacity(aggFactoryNames.length + 2);
                        vals.add(result.getDimensionValue(query.getDimensionSpec().getOutputName()));
                        for (String aggName : aggFactoryNames) {
                            vals.add(result.getMetric(aggName));
                        }
                        if (isResultLevelCache) {
                            for (PostAggregator postAgg : query.getPostAggregatorSpecs()) {
                                vals.add(result.getMetric(postAgg.getName()));
                            }
                        }
                        retVal.add(vals);
                    }
                    return retVal;
                }
            };
        }

        @Override
        public Function<Object, Result<TopNResultValue>> pullFromCache(boolean isResultLevelCache) {
            return new Function<Object, Result<TopNResultValue>>() {

                private final Granularity granularity = query.getGranularity();

                @Override
                public Result<TopNResultValue> apply(Object input) {
                    List<Object> results = (List<Object>) input;
                    List<Map<String, Object>> retVal = Lists.newArrayListWithCapacity(results.size());
                    Iterator<Object> inputIter = results.iterator();
                    DateTime timestamp = granularity.toDateTime(((Number) inputIter.next()).longValue());
                    while (inputIter.hasNext()) {
                        List<Object> result = (List<Object>) inputIter.next();
                        final Map<String, Object> vals = Maps.newLinkedHashMap();
                        Iterator<Object> resultIter = result.iterator();
                        // Must convert generic Jackson-deserialized type into the proper type.
                        vals.put(query.getDimensionSpec().getOutputName(), DimensionHandlerUtils.convertObjectToType(resultIter.next(), query.getDimensionSpec().getOutputType()));
                        CacheStrategy.fetchAggregatorsFromCache(aggs, resultIter, isResultLevelCache, (aggName, aggPos, aggValueObject) -> {
                            vals.put(aggName, aggValueObject);
                        });
                        if (isResultLevelCache) {
                            Iterator<PostAggregator> postItr = query.getPostAggregatorSpecs().iterator();
                            while (postItr.hasNext() && resultIter.hasNext()) {
                                vals.put(postItr.next().getName(), resultIter.next());
                            }
                        } else {
                            for (PostAggregator postAgg : postAggs) {
                                vals.put(postAgg.getName(), postAgg.compute(vals));
                            }
                        }
                        retVal.add(vals);
                    }
                    return new Result<>(timestamp, new TopNResultValue(retVal));
                }
            };
        }
    };
}

Example 8 with CacheStrategy

use of org.apache.druid.query.CacheStrategy in project druid by druid-io.

the class CachingQueryRunner method run.

@Override
public Sequence<T> run(QueryPlus<T> queryPlus, ResponseContext responseContext) {
    Query<T> query = queryPlus.getQuery();
    final CacheStrategy strategy = toolChest.getCacheStrategy(query);
    final boolean populateCache = canPopulateCache(query, strategy);
    final boolean useCache = canUseCache(query, strategy);
    final Cache.NamedKey key;
    if (useCache || populateCache) {
        key = CacheUtil.computeSegmentCacheKey(cacheId, alignToActualDataInterval(segmentDescriptor), Bytes.concat(cacheKeyPrefix.get(), strategy.computeCacheKey(query)));
    } else {
        key = null;
    }
    if (useCache) {
        final Function cacheFn = strategy.pullFromSegmentLevelCache();
        final byte[] cachedResult = cache.get(key);
        if (cachedResult != null) {
            final TypeReference cacheObjectClazz = strategy.getCacheObjectClazz();
            return Sequences.map(new BaseSequence<>(new BaseSequence.IteratorMaker<T, Iterator<T>>() {

                @Override
                public Iterator<T> make() {
                    try {
                        if (cachedResult.length == 0) {
                            return Collections.emptyIterator();
                        }
                        return mapper.readValues(mapper.getFactory().createParser(cachedResult), cacheObjectClazz);
                    } catch (IOException e) {
                        throw new RuntimeException(e);
                    }
                }

                @Override
                public void cleanup(Iterator<T> iterFromMake) {
                }
            }), cacheFn);
        }
    }
    if (populateCache) {
        final Function cacheFn = strategy.prepareForSegmentLevelCache();
        return cachePopulator.wrap(base.run(queryPlus, responseContext), value -> cacheFn.apply(value), cache, key);
    } else {
        return base.run(queryPlus, responseContext);
    }
}

Example 9 with CacheStrategy

use of org.apache.druid.query.CacheStrategy in project druid by druid-io.

the class CachingQueryRunnerTest method testUseCache.

private void testUseCache(List<Result> expectedResults, Query query, QueryToolChest toolchest) throws IOException {
    byte[] cacheKeyPrefix = RandomUtils.nextBytes(10);
    CacheStrategy cacheStrategy = toolchest.getCacheStrategy(query);
    Cache.NamedKey cacheKey = CacheUtil.computeSegmentCacheKey(CACHE_ID, SEGMENT_DESCRIPTOR, Bytes.concat(cacheKeyPrefix, cacheStrategy.computeCacheKey(query)));
    Cache cache = MapCache.create(1024 * 1024);
    cache.put(cacheKey, toByteArray(Iterables.transform(expectedResults, cacheStrategy.prepareForSegmentLevelCache())));
    CachingQueryRunner runner = makeCachingQueryRunner(cacheKeyPrefix, cache, toolchest, Sequences.empty());
    Assert.assertTrue(runner.canUseCache(query, toolchest.getCacheStrategy(query)));
    List<Result> results = runner.run(QueryPlus.wrap(query)).toList();
    Assert.assertEquals(expectedResults.toString(), results.toString());
}