Java 类org.apache.lucene.index.MultiTermsEnum.TermsEnumIndex 实例源码
项目：NYBC
文件：MultiDocValues.java
/**
* Creates an ordinal map that allows mapping ords to/from a merged
* space from <code>subs</code>.
* @param owner a cache key
* @param subs TermsEnums that support {@link TermsEnum#ord()}. They need
* not be dense (e.g. can be FilteredTermsEnums}.
* @throws IOException if an I/O error occurred.
*/
public OrdinalMap(Object owner, TermsEnum subs[]) throws IOException {
// create the ordinal mappings by pulling a termsenum over each sub's
// unique terms, and walking a multitermsenum over those
this.owner = owner;
globalOrdDeltas = new MonotonicAppendingLongBuffer();
subIndexes = new AppendingLongBuffer();
ordDeltas = new MonotonicAppendingLongBuffer[subs.length];
for (int i = 0; i < ordDeltas.length; i++) {
ordDeltas[i] = new MonotonicAppendingLongBuffer();
}
long segmentOrds[] = new long[subs.length];
ReaderSlice slices[] = new ReaderSlice[subs.length];
TermsEnumIndex indexes[] = new TermsEnumIndex[slices.length];
for (int i = 0; i < slices.length; i++) {
slices[i] = new ReaderSlice(0, 0, i);
indexes[i] = new TermsEnumIndex(subs[i], i);
}
MultiTermsEnum mte = new MultiTermsEnum(slices);
mte.reset(indexes);
long globalOrd = 0;
while (mte.next() != null) {
TermsEnumWithSlice matches[] = mte.getMatchArray();
for (int i = 0; i < mte.getMatchCount(); i++) {
int subIndex = matches[i].index;
long segmentOrd = matches[i].terms.ord();
long delta = globalOrd - segmentOrd;
// for each unique term, just mark the first subindex/delta where it occurs
if (i == 0) {
subIndexes.add(subIndex);
globalOrdDeltas.add(delta);
}
// for each per-segment ord, map it back to the global term.
while (segmentOrds[subIndex] <= segmentOrd) {
ordDeltas[subIndex].add(delta);
segmentOrds[subIndex]++;
}
}
globalOrd++;
}
}
项目：read-open-source-code
文件：MultiDocValues.java
/**
* Creates an ordinal map that allows mapping ords to/from a merged
* space from <code>subs</code>.
* @param owner a cache key
* @param subs TermsEnums that support {@link TermsEnum#ord()}. They need
* not be dense (e.g. can be FilteredTermsEnums}.
* @throws IOException if an I/O error occurred.
*/
public OrdinalMap(Object owner, TermsEnum subs[]) throws IOException {
// create the ordinal mappings by pulling a termsenum over each sub's
// unique terms, and walking a multitermsenum over those
this.owner = owner;
globalOrdDeltas = new MonotonicAppendingLongBuffer(PackedInts.COMPACT);
firstSegments = new AppendingPackedLongBuffer(PackedInts.COMPACT);
ordDeltas = new MonotonicAppendingLongBuffer[subs.length];
for (int i = 0; i < ordDeltas.length; i++) {
ordDeltas[i] = new MonotonicAppendingLongBuffer();
}
long segmentOrds[] = new long[subs.length];
ReaderSlice slices[] = new ReaderSlice[subs.length];
TermsEnumIndex indexes[] = new TermsEnumIndex[slices.length];
for (int i = 0; i < slices.length; i++) {
slices[i] = new ReaderSlice(0, 0, i);
indexes[i] = new TermsEnumIndex(subs[i], i);
}
MultiTermsEnum mte = new MultiTermsEnum(slices);
mte.reset(indexes);
long globalOrd = 0;
while (mte.next() != null) {
TermsEnumWithSlice matches[] = mte.getMatchArray();
for (int i = 0; i < mte.getMatchCount(); i++) {
int segmentIndex = matches[i].index;
long segmentOrd = matches[i].terms.ord();
long delta = globalOrd - segmentOrd;
// for each unique term, just mark the first segment index/delta where it occurs
if (i == 0) {
firstSegments.add(segmentIndex);
globalOrdDeltas.add(delta);
}
// for each per-segment ord, map it back to the global term.
while (segmentOrds[segmentIndex] <= segmentOrd) {
ordDeltas[segmentIndex].add(delta);
segmentOrds[segmentIndex]++;
}
}
globalOrd++;
}
firstSegments.freeze();
globalOrdDeltas.freeze();
for (int i = 0; i < ordDeltas.length; ++i) {
ordDeltas[i].freeze();
}
}
项目：read-open-source-code
文件：MultiDocValues.java
/**
* Creates an ordinal map that allows mapping ords to/from a merged
* space from <code>subs</code>.
* @param owner a cache key
* @param subs TermsEnums that support {@link TermsEnum#ord()}. They need
* not be dense (e.g. can be FilteredTermsEnums}.
* @throws IOException if an I/O error occurred.
*/
public OrdinalMap(Object owner, TermsEnum subs[]) throws IOException {
// create the ordinal mappings by pulling a termsenum over each sub's
// unique terms, and walking a multitermsenum over those
this.owner = owner;
globalOrdDeltas = new MonotonicAppendingLongBuffer(PackedInts.COMPACT);
firstSegments = new AppendingPackedLongBuffer(PackedInts.COMPACT);
ordDeltas = new MonotonicAppendingLongBuffer[subs.length];
for (int i = 0; i < ordDeltas.length; i++) {
ordDeltas[i] = new MonotonicAppendingLongBuffer();
}
long segmentOrds[] = new long[subs.length];
ReaderSlice slices[] = new ReaderSlice[subs.length];
TermsEnumIndex indexes[] = new TermsEnumIndex[slices.length];
for (int i = 0; i < slices.length; i++) {
slices[i] = new ReaderSlice(0, 0, i);
indexes[i] = new TermsEnumIndex(subs[i], i);
}
MultiTermsEnum mte = new MultiTermsEnum(slices);
mte.reset(indexes);
long globalOrd = 0;
while (mte.next() != null) {
TermsEnumWithSlice matches[] = mte.getMatchArray();
for (int i = 0; i < mte.getMatchCount(); i++) {
int segmentIndex = matches[i].index;
long segmentOrd = matches[i].terms.ord();
long delta = globalOrd - segmentOrd;
// for each unique term, just mark the first segment index/delta where it occurs
if (i == 0) {
firstSegments.add(segmentIndex);
globalOrdDeltas.add(delta);
}
// for each per-segment ord, map it back to the global term.
while (segmentOrds[segmentIndex] <= segmentOrd) {
ordDeltas[segmentIndex].add(delta);
segmentOrds[segmentIndex]++;
}
}
globalOrd++;
}
firstSegments.freeze();
globalOrdDeltas.freeze();
for (int i = 0; i < ordDeltas.length; ++i) {
ordDeltas[i].freeze();
}
}
项目：Maskana-Gestor-de-Conocimiento
文件：MultiDocValues.java
/**
* Creates an ordinal map that allows mapping ords to/from a merged
* space from <code>subs</code>.
* @param owner a cache key
* @param subs TermsEnums that support {@link TermsEnum#ord()}. They need
* not be dense (e.g. can be FilteredTermsEnums}.
* @throws IOException if an I/O error occurred.
*/
public OrdinalMap(Object owner, TermsEnum subs[]) throws IOException {
// create the ordinal mappings by pulling a termsenum over each sub's
// unique terms, and walking a multitermsenum over those
this.owner = owner;
globalOrdDeltas = new MonotonicAppendingLongBuffer(PackedInts.COMPACT);
firstSegments = new AppendingPackedLongBuffer(PackedInts.COMPACT);
ordDeltas = new MonotonicAppendingLongBuffer[subs.length];
for (int i = 0; i < ordDeltas.length; i++) {
ordDeltas[i] = new MonotonicAppendingLongBuffer();
}
long segmentOrds[] = new long[subs.length];
ReaderSlice slices[] = new ReaderSlice[subs.length];
TermsEnumIndex indexes[] = new TermsEnumIndex[slices.length];
for (int i = 0; i < slices.length; i++) {
slices[i] = new ReaderSlice(0, 0, i);
indexes[i] = new TermsEnumIndex(subs[i], i);
}
MultiTermsEnum mte = new MultiTermsEnum(slices);
mte.reset(indexes);
long globalOrd = 0;
while (mte.next() != null) {
TermsEnumWithSlice matches[] = mte.getMatchArray();
for (int i = 0; i < mte.getMatchCount(); i++) {
int segmentIndex = matches[i].index;
long segmentOrd = matches[i].terms.ord();
long delta = globalOrd - segmentOrd;
// for each unique term, just mark the first segment index/delta where it occurs
if (i == 0) {
firstSegments.add(segmentIndex);
globalOrdDeltas.add(delta);
}
// for each per-segment ord, map it back to the global term.
while (segmentOrds[segmentIndex] <= segmentOrd) {
ordDeltas[segmentIndex].add(delta);
segmentOrds[segmentIndex]++;
}
}
globalOrd++;
}
firstSegments.freeze();
globalOrdDeltas.freeze();
for (int i = 0; i < ordDeltas.length; ++i) {
ordDeltas[i].freeze();
}
}