Package org.elasticsearch.index.fielddata.ordinals

Examples of org.elasticsearch.index.fielddata.ordinals.Ordinals.ramBytesUsed()

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            values = BigArrays.NON_RECYCLING_INSTANCE.resize(values, numTerms);
            final FloatArray finalValues = values;
            final Ordinals build = builder.build(fieldDataType.getSettings());
            RandomAccessOrds ordinals = build.ordinals();
            if (FieldData.isMultiValued(ordinals) || CommonSettings.getMemoryStorageHint(fieldDataType) == CommonSettings.MemoryStorageFormat.ORDINALS) {
                final long ramBytesUsed = build.ramBytesUsed() + values.ramBytesUsed();
                data = new AtomicDoubleFieldData(ramBytesUsed) {

                    @Override
                    public SortedNumericDoubleValues getDoubleValues() {
                        return withOrdinals(build, finalValues, reader.maxDoc());
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                final BitSet set = builder.buildDocsWithValuesSet();

                // there's sweet spot where due to low unique value count, using ordinals will consume less memory
                long singleValuesArraySize = reader.maxDoc() * RamUsageEstimator.NUM_BYTES_FLOAT + (set == null ? 0 : set.ramBytesUsed());
                long uniqueValuesArraySize = values.ramBytesUsed();
                long ordinalsSize = build.ramBytesUsed();
                if (uniqueValuesArraySize + ordinalsSize < singleValuesArraySize) {
                    final long ramBytesUsed = build.ramBytesUsed() + values.ramBytesUsed();
                    success = true;
                    return data = new AtomicDoubleFieldData(ramBytesUsed) {

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                // there's sweet spot where due to low unique value count, using ordinals will consume less memory
                long singleValuesArraySize = reader.maxDoc() * RamUsageEstimator.NUM_BYTES_FLOAT + (set == null ? 0 : set.ramBytesUsed());
                long uniqueValuesArraySize = values.ramBytesUsed();
                long ordinalsSize = build.ramBytesUsed();
                if (uniqueValuesArraySize + ordinalsSize < singleValuesArraySize) {
                    final long ramBytesUsed = build.ramBytesUsed() + values.ramBytesUsed();
                    success = true;
                    return data = new AtomicDoubleFieldData(ramBytesUsed) {

                        @Override
                        public SortedNumericDoubleValues getDoubleValues() {
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            values = BigArrays.NON_RECYCLING_INSTANCE.resize(values, numTerms);
            final DoubleArray finalValues = values;
            final Ordinals build = builder.build(fieldDataType.getSettings());
            RandomAccessOrds ordinals = build.ordinals();
            if (FieldData.isMultiValued(ordinals) || CommonSettings.getMemoryStorageHint(fieldDataType) == CommonSettings.MemoryStorageFormat.ORDINALS) {
                final long ramBytesUsed = build.ramBytesUsed() + values.ramBytesUsed();
                data = new AtomicDoubleFieldData(ramBytesUsed) {

                    @Override
                    public SortedNumericDoubleValues getDoubleValues() {
                        return withOrdinals(build, finalValues, reader.maxDoc());
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                final BitSet set = builder.buildDocsWithValuesSet();

                // there's sweet spot where due to low unique value count, using ordinals will consume less memory
                long singleValuesArraySize = reader.maxDoc() * RamUsageEstimator.NUM_BYTES_DOUBLE + (set == null ? 0 : set.ramBytesUsed());
                long uniqueValuesArraySize = values.ramBytesUsed();
                long ordinalsSize = build.ramBytesUsed();
                if (uniqueValuesArraySize + ordinalsSize < singleValuesArraySize) {
                    final long ramBytesUsed = build.ramBytesUsed() + values.ramBytesUsed();
                    success = true;
                    return data = new AtomicDoubleFieldData(ramBytesUsed) {

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                // there's sweet spot where due to low unique value count, using ordinals will consume less memory
                long singleValuesArraySize = reader.maxDoc() * RamUsageEstimator.NUM_BYTES_DOUBLE + (set == null ? 0 : set.ramBytesUsed());
                long uniqueValuesArraySize = values.ramBytesUsed();
                long ordinalsSize = build.ramBytesUsed();
                if (uniqueValuesArraySize + ordinalsSize < singleValuesArraySize) {
                    final long ramBytesUsed = build.ramBytesUsed() + values.ramBytesUsed();
                    success = true;
                    return data = new AtomicDoubleFieldData(ramBytesUsed) {

                        @Override
                        public SortedNumericDoubleValues getDoubleValues() {
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            final Ordinals build = builder.build(fieldDataType.getSettings());
            CommonSettings.MemoryStorageFormat formatHint = CommonSettings.getMemoryStorageHint(fieldDataType);

            RandomAccessOrds ordinals = build.ordinals();
            if (FieldData.isMultiValued(ordinals) || formatHint == CommonSettings.MemoryStorageFormat.ORDINALS) {
                final long ramBytesUsed = build.ramBytesUsed() + values.ramBytesUsed();
                data = new AtomicLongFieldData(ramBytesUsed) {

                    @Override
                    public SortedNumericDocValues getLongValues() {
                        return withOrdinals(build, values, reader.maxDoc());
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                            }
                           
                        };
                        break;
                    case ORDINALS:
                        ramBytesUsed = build.ramBytesUsed() + values.ramBytesUsed();
                        data = new AtomicLongFieldData(ramBytesUsed) {

                            @Override
                            public SortedNumericDocValues getLongValues() {
                                return withOrdinals(build, values, reader.maxDoc());
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