Examples with InternalAggregations org.elasticsearch.search.aggregations.InternalAggregations used on opensource projects

Example 1 with InternalAggregations

use of org.elasticsearch.search.aggregations.InternalAggregations in project elasticsearch by elastic.

the class BucketScriptPipelineAggregator method reduce.

@Override
public InternalAggregation reduce(InternalAggregation aggregation, ReduceContext reduceContext) {
    InternalMultiBucketAggregation<InternalMultiBucketAggregation, InternalMultiBucketAggregation.InternalBucket> originalAgg = (InternalMultiBucketAggregation<InternalMultiBucketAggregation, InternalMultiBucketAggregation.InternalBucket>) aggregation;
    List<? extends Bucket> buckets = originalAgg.getBuckets();
    CompiledScript compiledScript = reduceContext.scriptService().compile(script, ScriptContext.Standard.AGGS);
    List newBuckets = new ArrayList<>();
    for (Bucket bucket : buckets) {
        Map<String, Object> vars = new HashMap<>();
        if (script.getParams() != null) {
            vars.putAll(script.getParams());
        }
        boolean skipBucket = false;
        for (Map.Entry<String, String> entry : bucketsPathsMap.entrySet()) {
            String varName = entry.getKey();
            String bucketsPath = entry.getValue();
            Double value = resolveBucketValue(originalAgg, bucket, bucketsPath, gapPolicy);
            if (GapPolicy.SKIP == gapPolicy && (value == null || Double.isNaN(value))) {
                skipBucket = true;
                break;
            }
            vars.put(varName, value);
        }
        if (skipBucket) {
            newBuckets.add(bucket);
        } else {
            ExecutableScript executableScript = reduceContext.scriptService().executable(compiledScript, vars);
            Object returned = executableScript.run();
            if (returned == null) {
                newBuckets.add(bucket);
            } else {
                if (!(returned instanceof Number)) {
                    throw new AggregationExecutionException("series_arithmetic script for reducer [" + name() + "] must return a Number");
                }
                final List<InternalAggregation> aggs = StreamSupport.stream(bucket.getAggregations().spliterator(), false).map((p) -> {
                    return (InternalAggregation) p;
                }).collect(Collectors.toList());
                aggs.add(new InternalSimpleValue(name(), ((Number) returned).doubleValue(), formatter, new ArrayList<>(), metaData()));
                InternalMultiBucketAggregation.InternalBucket newBucket = originalAgg.createBucket(new InternalAggregations(aggs), (InternalMultiBucketAggregation.InternalBucket) bucket);
                newBuckets.add(newBucket);
            }
        }
    }
    return originalAgg.create(newBuckets);
}

Example 2 with InternalAggregations

use of org.elasticsearch.search.aggregations.InternalAggregations in project elasticsearch by elastic.

the class CumulativeSumPipelineAggregator method reduce.

@Override
public InternalAggregation reduce(InternalAggregation aggregation, ReduceContext reduceContext) {
    MultiBucketsAggregation histo = (MultiBucketsAggregation) aggregation;
    List<? extends Bucket> buckets = histo.getBuckets();
    HistogramFactory factory = (HistogramFactory) histo;
    List<Bucket> newBuckets = new ArrayList<>();
    double sum = 0;
    for (Bucket bucket : buckets) {
        Double thisBucketValue = resolveBucketValue(histo, bucket, bucketsPaths()[0], GapPolicy.INSERT_ZEROS);
        sum += thisBucketValue;
        List<InternalAggregation> aggs = StreamSupport.stream(bucket.getAggregations().spliterator(), false).map((p) -> {
            return (InternalAggregation) p;
        }).collect(Collectors.toList());
        aggs.add(new InternalSimpleValue(name(), sum, formatter, new ArrayList<PipelineAggregator>(), metaData()));
        Bucket newBucket = factory.createBucket(factory.getKey(bucket), bucket.getDocCount(), new InternalAggregations(aggs));
        newBuckets.add(newBucket);
    }
    return factory.createAggregation(newBuckets);
}

Example 3 with InternalAggregations

use of org.elasticsearch.search.aggregations.InternalAggregations in project elasticsearch by elastic.

the class DerivativePipelineAggregator method reduce.

@Override
public InternalAggregation reduce(InternalAggregation aggregation, ReduceContext reduceContext) {
    MultiBucketsAggregation histo = (MultiBucketsAggregation) aggregation;
    List<? extends Bucket> buckets = histo.getBuckets();
    HistogramFactory factory = (HistogramFactory) histo;
    List<Bucket> newBuckets = new ArrayList<>();
    Number lastBucketKey = null;
    Double lastBucketValue = null;
    for (Bucket bucket : buckets) {
        Number thisBucketKey = factory.getKey(bucket);
        Double thisBucketValue = resolveBucketValue(histo, bucket, bucketsPaths()[0], gapPolicy);
        if (lastBucketValue != null && thisBucketValue != null) {
            double gradient = thisBucketValue - lastBucketValue;
            double xDiff = -1;
            if (xAxisUnits != null) {
                xDiff = (thisBucketKey.doubleValue() - lastBucketKey.doubleValue()) / xAxisUnits;
            }
            final List<InternalAggregation> aggs = StreamSupport.stream(bucket.getAggregations().spliterator(), false).map((p) -> {
                return (InternalAggregation) p;
            }).collect(Collectors.toList());
            aggs.add(new InternalDerivative(name(), gradient, xDiff, formatter, new ArrayList<PipelineAggregator>(), metaData()));
            Bucket newBucket = factory.createBucket(factory.getKey(bucket), bucket.getDocCount(), new InternalAggregations(aggs));
            newBuckets.add(newBucket);
        } else {
            newBuckets.add(bucket);
        }
        lastBucketKey = thisBucketKey;
        lastBucketValue = thisBucketValue;
    }
    return factory.createAggregation(newBuckets);
}

Example 4 with InternalAggregations

use of org.elasticsearch.search.aggregations.InternalAggregations in project elasticsearch by elastic.

the class MovAvgPipelineAggregator method reduce.

@Override
public InternalAggregation reduce(InternalAggregation aggregation, ReduceContext reduceContext) {
    MultiBucketsAggregation histo = (MultiBucketsAggregation) aggregation;
    List<? extends Bucket> buckets = histo.getBuckets();
    HistogramFactory factory = (HistogramFactory) histo;
    List<Bucket> newBuckets = new ArrayList<>();
    EvictingQueue<Double> values = new EvictingQueue<>(this.window);
    Number lastValidKey = 0;
    int lastValidPosition = 0;
    int counter = 0;
    // Do we need to fit the model parameters to the data?
    if (minimize) {
        assert (model.canBeMinimized());
        model = minimize(buckets, histo, model);
    }
    for (Bucket bucket : buckets) {
        Double thisBucketValue = resolveBucketValue(histo, bucket, bucketsPaths()[0], gapPolicy);
        // Default is to reuse existing bucket.  Simplifies the rest of the logic,
        // since we only change newBucket if we can add to it
        Bucket newBucket = bucket;
        if (!(thisBucketValue == null || thisBucketValue.equals(Double.NaN))) {
            // Some models (e.g. HoltWinters) have certain preconditions that must be met
            if (model.hasValue(values.size())) {
                double movavg = model.next(values);
                List<InternalAggregation> aggs = StreamSupport.stream(bucket.getAggregations().spliterator(), false).map((p) -> {
                    return (InternalAggregation) p;
                }).collect(Collectors.toList());
                aggs.add(new InternalSimpleValue(name(), movavg, formatter, new ArrayList<PipelineAggregator>(), metaData()));
                newBucket = factory.createBucket(factory.getKey(bucket), bucket.getDocCount(), new InternalAggregations(aggs));
            }
            if (predict > 0) {
                lastValidKey = factory.getKey(bucket);
                lastValidPosition = counter;
            }
            values.offer(thisBucketValue);
        }
        counter += 1;
        newBuckets.add(newBucket);
    }
    if (buckets.size() > 0 && predict > 0) {
        double[] predictions = model.predict(values, predict);
        for (int i = 0; i < predictions.length; i++) {
            List<InternalAggregation> aggs;
            Number newKey = factory.nextKey(lastValidKey);
            if (lastValidPosition + i + 1 < newBuckets.size()) {
                Bucket bucket = newBuckets.get(lastValidPosition + i + 1);
                // Get the existing aggs in the bucket so we don't clobber data
                aggs = StreamSupport.stream(bucket.getAggregations().spliterator(), false).map((p) -> {
                    return (InternalAggregation) p;
                }).collect(Collectors.toList());
                aggs.add(new InternalSimpleValue(name(), predictions[i], formatter, new ArrayList<PipelineAggregator>(), metaData()));
                Bucket newBucket = factory.createBucket(newKey, 0, new InternalAggregations(aggs));
                // Overwrite the existing bucket with the new version
                newBuckets.set(lastValidPosition + i + 1, newBucket);
            } else {
                // Not seen before, create fresh
                aggs = new ArrayList<>();
                aggs.add(new InternalSimpleValue(name(), predictions[i], formatter, new ArrayList<PipelineAggregator>(), metaData()));
                Bucket newBucket = factory.createBucket(newKey, 0, new InternalAggregations(aggs));
                // Since this is a new bucket, simply append it
                newBuckets.add(newBucket);
            }
            lastValidKey = newKey;
        }
    }
    return factory.createAggregation(newBuckets);
}

Example 5 with InternalAggregations

use of org.elasticsearch.search.aggregations.InternalAggregations in project elasticsearch by elastic.

the class SearchPhaseControllerTests method testConsumerConcurrently.

public void testConsumerConcurrently() throws InterruptedException {
    int expectedNumResults = randomIntBetween(1, 100);
    int bufferSize = randomIntBetween(2, 200);
    SearchRequest request = new SearchRequest();
    request.source(new SearchSourceBuilder().aggregation(AggregationBuilders.avg("foo")));
    request.setBatchedReduceSize(bufferSize);
    InitialSearchPhase.SearchPhaseResults<QuerySearchResultProvider> consumer = searchPhaseController.newSearchPhaseResults(request, expectedNumResults);
    AtomicInteger max = new AtomicInteger();
    CountDownLatch latch = new CountDownLatch(expectedNumResults);
    for (int i = 0; i < expectedNumResults; i++) {
        int id = i;
        Thread t = new Thread(() -> {
            int number = randomIntBetween(1, 1000);
            max.updateAndGet(prev -> Math.max(prev, number));
            QuerySearchResult result = new QuerySearchResult(id, new SearchShardTarget("node", new Index("a", "b"), id));
            result.topDocs(new TopDocs(id, new ScoreDoc[0], 0.0F), new DocValueFormat[0]);
            InternalAggregations aggs = new InternalAggregations(Arrays.asList(new InternalMax("test", (double) number, DocValueFormat.RAW, Collections.emptyList(), Collections.emptyMap())));
            result.aggregations(aggs);
            consumer.consumeResult(id, result);
            latch.countDown();
        });
        t.start();
    }
    latch.await();
    SearchPhaseController.ReducedQueryPhase reduce = consumer.reduce();
    InternalMax internalMax = (InternalMax) reduce.aggregations.asList().get(0);
    assertEquals(max.get(), internalMax.getValue(), 0.0D);
}