@Test
public void testDateScripts() throws Exception {
fillSingleValueAllSet();
IndexNumericFieldData indexFieldData = getForField("value");
AtomicNumericFieldData fieldData = indexFieldData.load(refreshReader());
ScriptDocValues.Longs scriptValues = (ScriptDocValues.Longs) fieldData.getScriptValues();
scriptValues.setNextDocId(0);
assertThat(scriptValues.getValue(), equalTo(2l));
assertThat(scriptValues.getDate().getMillis(), equalTo(2l));
assertThat(scriptValues.getDate().getZone(), equalTo(DateTimeZone.UTC));
}
@Override
@SuppressWarnings("rawtypes") // ValueSource uses a rawtype
public FunctionValues getValues(Map context, LeafReaderContext leaf) throws IOException {
AtomicNumericFieldData leafData = (AtomicNumericFieldData) fieldData.load(leaf);
NumericDoubleValues docValues = multiValueMode.select(leafData.getDoubleValues(), 0d);
return new DoubleDocValues(this) {
@Override
public double doubleVal(int doc) {
return docValues.get(doc);
}
};
}
private void test(List<TLongSet> values) throws Exception {
StringField id = new StringField("_id", "", Field.Store.NO);
for (int i = 0; i < values.size(); ++i) {
Document doc = new Document();
id.setStringValue("" + i);
doc.add(id);
final TLongSet v = values.get(i);
for (TLongIterator it = v.iterator(); it.hasNext(); ) {
LongField value = new LongField("value", it.next(), Field.Store.NO);
doc.add(value);
}
writer.addDocument(doc);
}
writer.forceMerge(1);
final IndexNumericFieldData indexFieldData = getForField("value");
final AtomicNumericFieldData atomicFieldData = indexFieldData.load(refreshReader());
final LongValues data = atomicFieldData.getLongValues();
final DoubleValues doubleData = atomicFieldData.getDoubleValues();
final TLongSet set = new TLongHashSet();
final TDoubleSet doubleSet = new TDoubleHashSet();
for (int i = 0; i < values.size(); ++i) {
final TLongSet v = values.get(i);
assertThat(data.hasValue(i), equalTo(!v.isEmpty()));
assertThat(doubleData.hasValue(i), equalTo(!v.isEmpty()));
if (v.isEmpty()) {
assertThat(data.getValue(i), equalTo(0L));
assertThat(doubleData.getValue(i), equalTo(0d));
}
set.clear();
for (LongValues.Iter iter = data.getIter(i); iter.hasNext(); ) {
set.add(iter.next());
}
assertThat(set, equalTo(v));
final TDoubleSet doubleV = new TDoubleHashSet();
for (TLongIterator it = v.iterator(); it.hasNext(); ) {
doubleV.add((double) it.next());
}
doubleSet.clear();
for (DoubleValues.Iter iter = doubleData.getIter(i); iter.hasNext(); ) {
doubleSet.add(iter.next());
}
assertThat(doubleSet, equalTo(doubleV));
}
}
@Test
public void testOptimizeTypeLong() throws Exception {
Document d = new Document();
d.add(new StringField("_id", "1", Field.Store.NO));
d.add(new LongField("value", Integer.MAX_VALUE + 1l, Field.Store.NO));
writer.addDocument(d);
d = new Document();
d.add(new StringField("_id", "2", Field.Store.NO));
d.add(new LongField("value", Integer.MIN_VALUE - 1l, Field.Store.NO));
writer.addDocument(d);
IndexNumericFieldData indexFieldData =
ifdService.getForField(new FieldMapper.Names("value"), new FieldDataType("long"));
AtomicNumericFieldData fieldData = indexFieldData.load(refreshReader());
assertThat(fieldData, instanceOf(PackedArrayAtomicFieldData.class));
assertThat(fieldData.getLongValues().getValue(0), equalTo((long) Integer.MAX_VALUE + 1l));
assertThat(fieldData.getLongValues().getValue(1), equalTo((long) Integer.MIN_VALUE - 1l));
}
@Override
public AtomicNumericFieldData loadDirect(LeafReaderContext context) throws Exception {
final LeafReader reader = context.reader();
Terms terms = reader.terms(getFieldNames().indexName());
AtomicNumericFieldData data = null;
PackedArrayEstimator estimator =
new PackedArrayEstimator(
breakerService.getBreaker(CircuitBreaker.FIELDDATA),
getNumericType(),
getFieldNames().fullName());
if (terms == null) {
data = AtomicLongFieldData.empty(reader.maxDoc());
estimator.adjustForNoTerms(data.ramBytesUsed());
return data;
}
// TODO: how can we guess the number of terms? numerics end up creating more terms per value...
// Lucene encodes numeric data so that the lexicographical (encoded) order matches the integer
// order so we know the sequence of
// longs is going to be monotonically increasing
final PackedLongValues.Builder valuesBuilder =
PackedLongValues.monotonicBuilder(PackedInts.COMPACT);
final float acceptableTransientOverheadRatio =
fieldDataType
.getSettings()
.getAsFloat(
"acceptable_transient_overhead_ratio",
OrdinalsBuilder.DEFAULT_ACCEPTABLE_OVERHEAD_RATIO);
TermsEnum termsEnum = estimator.beforeLoad(terms);
assert !getNumericType().isFloatingPoint();
boolean success = false;
try (OrdinalsBuilder builder =
new OrdinalsBuilder(-1, reader.maxDoc(), acceptableTransientOverheadRatio)) {
BytesRefIterator iter = builder.buildFromTerms(termsEnum);
BytesRef term;
while ((term = iter.next()) != null) {
final long value = numericType.toLong(term);
valuesBuilder.add(value);
}
final PackedLongValues values = valuesBuilder.build();
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());
}
@Override
public Collection<Accountable> getChildResources() {
List<Accountable> resources = new ArrayList<>();
resources.add(Accountables.namedAccountable("ordinals", build));
resources.add(Accountables.namedAccountable("values", values));
return Collections.unmodifiableList(resources);
}
};
} else {
final BitSet docsWithValues = builder.buildDocsWithValuesSet();
long minV, maxV;
minV = maxV = 0;
if (values.size() > 0) {
minV = values.get(0);
maxV = values.get(values.size() - 1);
}
final float acceptableOverheadRatio =
fieldDataType.getSettings().getAsFloat("acceptable_overhead_ratio", PackedInts.DEFAULT);
final int pageSize = fieldDataType.getSettings().getAsInt("single_value_page_size", 1024);
if (formatHint == null) {
formatHint =
chooseStorageFormat(
reader, values, build, ordinals, minV, maxV, acceptableOverheadRatio, pageSize);
}
logger.trace(
"single value format for field [{}] set to [{}]",
getFieldNames().fullName(),
formatHint);
switch (formatHint) {
case PACKED:
// Encode document without a value with a special value
long missingV = 0;
if (docsWithValues != null) {
if ((maxV - minV + 1) == values.size()) {
// values are dense
if (minV > Long.MIN_VALUE) {
missingV = --minV;
} else {
assert maxV != Long.MAX_VALUE;
missingV = ++maxV;
}
} else {
for (long i = 1; i < values.size(); ++i) {
if (values.get(i) > values.get(i - 1) + 1) {
missingV = values.get(i - 1) + 1;
break;
}
}
}
missingV -= minV;
}
final long missingValue = missingV;
final long minValue = minV;
final long maxValue = maxV;
final long valuesDelta = maxValue - minValue;
int bitsRequired = valuesDelta < 0 ? 64 : PackedInts.bitsRequired(valuesDelta);
final PackedInts.Mutable sValues =
PackedInts.getMutable(reader.maxDoc(), bitsRequired, acceptableOverheadRatio);
if (docsWithValues != null) {
sValues.fill(0, sValues.size(), missingV);
}
for (int i = 0; i < reader.maxDoc(); i++) {
ordinals.setDocument(i);
if (ordinals.cardinality() > 0) {
final long ord = ordinals.ordAt(0);
long value = values.get(ord);
sValues.set(i, value - minValue);
}
}
long ramBytesUsed =
values.ramBytesUsed()
+ (docsWithValues == null ? 0 : docsWithValues.ramBytesUsed());
data =
new AtomicLongFieldData(ramBytesUsed) {
@Override
public SortedNumericDocValues getLongValues() {
if (docsWithValues == null) {
return singles(sValues, minValue);
} else {
return sparseSingles(sValues, minValue, missingValue, reader.maxDoc());
}
}
@Override
public Collection<Accountable> getChildResources() {
List<Accountable> resources = new ArrayList<>();
resources.add(Accountables.namedAccountable("values", sValues));
if (docsWithValues != null) {
resources.add(
Accountables.namedAccountable("missing bitset", docsWithValues));
}
return Collections.unmodifiableList(resources);
}
};
break;
case PAGED:
final PackedLongValues.Builder dpValues =
PackedLongValues.deltaPackedBuilder(pageSize, acceptableOverheadRatio);
long lastValue = 0;
for (int i = 0; i < reader.maxDoc(); i++) {
ordinals.setDocument(i);
if (ordinals.cardinality() > 0) {
final long ord = ordinals.ordAt(i);
lastValue = values.get(ord);
}
dpValues.add(lastValue);
}
final PackedLongValues pagedValues = dpValues.build();
ramBytesUsed = pagedValues.ramBytesUsed();
if (docsWithValues != null) {
ramBytesUsed += docsWithValues.ramBytesUsed();
}
data =
new AtomicLongFieldData(ramBytesUsed) {
@Override
public SortedNumericDocValues getLongValues() {
return pagedSingles(pagedValues, docsWithValues);
}
@Override
public Collection<Accountable> getChildResources() {
List<Accountable> resources = new ArrayList<>();
resources.add(Accountables.namedAccountable("values", pagedValues));
if (docsWithValues != null) {
resources.add(
Accountables.namedAccountable("missing bitset", docsWithValues));
}
return Collections.unmodifiableList(resources);
}
};
break;
case ORDINALS:
ramBytesUsed = build.ramBytesUsed() + values.ramBytesUsed();
data =
new AtomicLongFieldData(ramBytesUsed) {
@Override
public SortedNumericDocValues getLongValues() {
return withOrdinals(build, values, reader.maxDoc());
}
@Override
public Collection<Accountable> getChildResources() {
List<Accountable> resources = new ArrayList<>();
resources.add(Accountables.namedAccountable("ordinals", build));
resources.add(Accountables.namedAccountable("values", values));
return Collections.unmodifiableList(resources);
}
};
break;
default:
throw new ElasticsearchException("unknown memory format: " + formatHint);
}
}
success = true;
return data;
} finally {
if (!success) {
// If something went wrong, unwind any current estimations we've made
estimator.afterLoad(termsEnum, 0);
} else {
// Adjust as usual, based on the actual size of the field data
estimator.afterLoad(termsEnum, data.ramBytesUsed());
}
}
}
