Examples with BigArrays org.elasticsearch.common.util.BigArrays used on opensource projects

Example 1 with BigArrays

use of org.elasticsearch.common.util.BigArrays in project elasticsearch by elastic.

the class ValueCountAggregator method getLeafCollector.

@Override
public LeafBucketCollector getLeafCollector(LeafReaderContext ctx, final LeafBucketCollector sub) throws IOException {
    if (valuesSource == null) {
        return LeafBucketCollector.NO_OP_COLLECTOR;
    }
    final BigArrays bigArrays = context.bigArrays();
    final SortedBinaryDocValues values = valuesSource.bytesValues(ctx);
    return new LeafBucketCollectorBase(sub, values) {

        @Override
        public void collect(int doc, long bucket) throws IOException {
            counts = bigArrays.grow(counts, bucket + 1);
            values.setDocument(doc);
            counts.increment(bucket, values.count());
        }
    };
}

Example 2 with BigArrays

use of org.elasticsearch.common.util.BigArrays in project elasticsearch by elastic.

the class ExtendedStatsAggregator method getLeafCollector.

@Override
public LeafBucketCollector getLeafCollector(LeafReaderContext ctx, final LeafBucketCollector sub) throws IOException {
    if (valuesSource == null) {
        return LeafBucketCollector.NO_OP_COLLECTOR;
    }
    final BigArrays bigArrays = context.bigArrays();
    final SortedNumericDoubleValues values = valuesSource.doubleValues(ctx);
    return new LeafBucketCollectorBase(sub, values) {

        @Override
        public void collect(int doc, long bucket) throws IOException {
            if (bucket >= counts.size()) {
                final long from = counts.size();
                final long overSize = BigArrays.overSize(bucket + 1);
                counts = bigArrays.resize(counts, overSize);
                sums = bigArrays.resize(sums, overSize);
                mins = bigArrays.resize(mins, overSize);
                maxes = bigArrays.resize(maxes, overSize);
                sumOfSqrs = bigArrays.resize(sumOfSqrs, overSize);
                mins.fill(from, overSize, Double.POSITIVE_INFINITY);
                maxes.fill(from, overSize, Double.NEGATIVE_INFINITY);
            }
            values.setDocument(doc);
            final int valuesCount = values.count();
            counts.increment(bucket, valuesCount);
            double sum = 0;
            double sumOfSqr = 0;
            double min = mins.get(bucket);
            double max = maxes.get(bucket);
            for (int i = 0; i < valuesCount; i++) {
                double value = values.valueAt(i);
                sum += value;
                sumOfSqr += value * value;
                min = Math.min(min, value);
                max = Math.max(max, value);
            }
            sums.increment(bucket, sum);
            sumOfSqrs.increment(bucket, sumOfSqr);
            mins.set(bucket, min);
            maxes.set(bucket, max);
        }
    };
}

Example 3 with BigArrays

use of org.elasticsearch.common.util.BigArrays in project elasticsearch by elastic.

the class SumAggregator method getLeafCollector.

@Override
public LeafBucketCollector getLeafCollector(LeafReaderContext ctx, final LeafBucketCollector sub) throws IOException {
    if (valuesSource == null) {
        return LeafBucketCollector.NO_OP_COLLECTOR;
    }
    final BigArrays bigArrays = context.bigArrays();
    final SortedNumericDoubleValues values = valuesSource.doubleValues(ctx);
    return new LeafBucketCollectorBase(sub, values) {

        @Override
        public void collect(int doc, long bucket) throws IOException {
            sums = bigArrays.grow(sums, bucket + 1);
            values.setDocument(doc);
            final int valuesCount = values.count();
            double sum = 0;
            for (int i = 0; i < valuesCount; i++) {
                sum += values.valueAt(i);
            }
            sums.increment(bucket, sum);
        }
    };
}

Example 4 with BigArrays

use of org.elasticsearch.common.util.BigArrays in project elasticsearch by elastic.

the class GeoBoundsAggregator method getLeafCollector.

@Override
public LeafBucketCollector getLeafCollector(LeafReaderContext ctx, LeafBucketCollector sub) {
    if (valuesSource == null) {
        return LeafBucketCollector.NO_OP_COLLECTOR;
    }
    final BigArrays bigArrays = context.bigArrays();
    final MultiGeoPointValues values = valuesSource.geoPointValues(ctx);
    return new LeafBucketCollectorBase(sub, values) {

        @Override
        public void collect(int doc, long bucket) throws IOException {
            if (bucket >= tops.size()) {
                long from = tops.size();
                tops = bigArrays.grow(tops, bucket + 1);
                tops.fill(from, tops.size(), Double.NEGATIVE_INFINITY);
                bottoms = bigArrays.resize(bottoms, tops.size());
                bottoms.fill(from, bottoms.size(), Double.POSITIVE_INFINITY);
                posLefts = bigArrays.resize(posLefts, tops.size());
                posLefts.fill(from, posLefts.size(), Double.POSITIVE_INFINITY);
                posRights = bigArrays.resize(posRights, tops.size());
                posRights.fill(from, posRights.size(), Double.NEGATIVE_INFINITY);
                negLefts = bigArrays.resize(negLefts, tops.size());
                negLefts.fill(from, negLefts.size(), Double.POSITIVE_INFINITY);
                negRights = bigArrays.resize(negRights, tops.size());
                negRights.fill(from, negRights.size(), Double.NEGATIVE_INFINITY);
            }
            values.setDocument(doc);
            final int valuesCount = values.count();
            for (int i = 0; i < valuesCount; ++i) {
                GeoPoint value = values.valueAt(i);
                double top = tops.get(bucket);
                if (value.lat() > top) {
                    top = value.lat();
                }
                double bottom = bottoms.get(bucket);
                if (value.lat() < bottom) {
                    bottom = value.lat();
                }
                double posLeft = posLefts.get(bucket);
                if (value.lon() >= 0 && value.lon() < posLeft) {
                    posLeft = value.lon();
                }
                double posRight = posRights.get(bucket);
                if (value.lon() >= 0 && value.lon() > posRight) {
                    posRight = value.lon();
                }
                double negLeft = negLefts.get(bucket);
                if (value.lon() < 0 && value.lon() < negLeft) {
                    negLeft = value.lon();
                }
                double negRight = negRights.get(bucket);
                if (value.lon() < 0 && value.lon() > negRight) {
                    negRight = value.lon();
                }
                tops.set(bucket, top);
                bottoms.set(bucket, bottom);
                posLefts.set(bucket, posLeft);
                posRights.set(bucket, posRight);
                negLefts.set(bucket, negLeft);
                negRights.set(bucket, negRight);
            }
        }
    };
}

Example 5 with BigArrays

use of org.elasticsearch.common.util.BigArrays in project elasticsearch by elastic.

the class GeoCentroidAggregator method getLeafCollector.

@Override
public LeafBucketCollector getLeafCollector(LeafReaderContext ctx, LeafBucketCollector sub) throws IOException {
    if (valuesSource == null) {
        return LeafBucketCollector.NO_OP_COLLECTOR;
    }
    final BigArrays bigArrays = context.bigArrays();
    final MultiGeoPointValues values = valuesSource.geoPointValues(ctx);
    return new LeafBucketCollectorBase(sub, values) {

        @Override
        public void collect(int doc, long bucket) throws IOException {
            centroids = bigArrays.grow(centroids, bucket + 1);
            counts = bigArrays.grow(counts, bucket + 1);
            values.setDocument(doc);
            final int valueCount = values.count();
            if (valueCount > 0) {
                double[] pt = new double[2];
                // get the previously accumulated number of counts
                long prevCounts = counts.get(bucket);
                // increment by the number of points for this document
                counts.increment(bucket, valueCount);
                // get the previous GeoPoint if a moving avg was computed
                if (prevCounts > 0) {
                    final long mortonCode = centroids.get(bucket);
                    pt[0] = GeoPointField.decodeLongitude(mortonCode);
                    pt[1] = GeoPointField.decodeLatitude(mortonCode);
                }
                // update the moving average
                for (int i = 0; i < valueCount; ++i) {
                    GeoPoint value = values.valueAt(i);
                    pt[0] = pt[0] + (value.getLon() - pt[0]) / ++prevCounts;
                    pt[1] = pt[1] + (value.getLat() - pt[1]) / prevCounts;
                }
                // TODO: we do not need to interleave the lat and lon bits here
                // should we just store them contiguously?
                centroids.set(bucket, GeoPointField.encodeLatLon(pt[1], pt[0]));
            }
        }
    };
}