Java TermsEnum.postings方法代码示例

import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
/**
 * This method iterates all terms in the given {@link TermsEnum} and
 * associates each terms ordinal with the terms documents. The caller must
 * exhaust the returned {@link BytesRefIterator} which returns all values
 * where the first returned value is associated with the ordinal <tt>1</tt>
 * etc.
 * <p>
 * If the {@link TermsEnum} contains prefix coded numerical values the terms
 * enum should be wrapped with either {@link #wrapNumeric32Bit(TermsEnum)}
 * or {@link #wrapNumeric64Bit(TermsEnum)} depending on its precision. If
 * the {@link TermsEnum} is not wrapped the returned
 * {@link BytesRefIterator} will contain partial precision terms rather than
 * only full-precision terms.
 * </p>
 */
public BytesRefIterator buildFromTerms(final TermsEnum termsEnum) throws IOException {
    return new BytesRefIterator() {
        private PostingsEnum docsEnum = null;

        @Override
        public BytesRef next() throws IOException {
            BytesRef ref;
            if ((ref = termsEnum.next()) != null) {
                docsEnum = termsEnum.postings(docsEnum, PostingsEnum.NONE);
                nextOrdinal();
                int docId;
                while ((docId = docsEnum.nextDoc()) != DocIdSetIterator.NO_MORE_DOCS) {
                    addDoc(docId);
                }
            }
            return ref;
        }
    };
}
 

import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
private void buildTerm(XContentBuilder builder, final CharsRefBuilder spare, Terms curTerms, TermsEnum termIter, BoostAttribute boostAtt) throws IOException {
    // start term, optimized writing
    BytesRef term = termIter.next();
    spare.copyUTF8Bytes(term);
    builder.startObject(spare.toString());
    buildTermStatistics(builder, termIter);
    // finally write the term vectors
    PostingsEnum posEnum = termIter.postings(null, PostingsEnum.ALL);
    int termFreq = posEnum.freq();
    builder.field(FieldStrings.TERM_FREQ, termFreq);
    initMemory(curTerms, termFreq);
    initValues(curTerms, posEnum, termFreq);
    buildValues(builder, curTerms, termFreq);
    buildScore(builder, boostAtt);
    builder.endObject();
}
 

import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
/**
 * This method iterates all terms in the given {@link TermsEnum} and
 * associates each terms ordinal with the terms documents. The caller must
 * exhaust the returned {@link BytesRefIterator} which returns all values
 * where the first returned value is associted with the ordinal <tt>1</tt>
 * etc.
 * <p>
 * If the {@link TermsEnum} contains prefix coded numerical values the terms
 * enum should be wrapped with either {@link #wrapNumeric32Bit(TermsEnum)}
 * or {@link #wrapNumeric64Bit(TermsEnum)} depending on its precision. If
 * the {@link TermsEnum} is not wrapped the returned
 * {@link BytesRefIterator} will contain partial precision terms rather than
 * only full-precision terms.
 * </p>
 */
public BytesRefIterator buildFromTerms(final TermsEnum termsEnum) throws IOException {
    return new BytesRefIterator() {
        private PostingsEnum docsEnum = null;

        @Override
        public BytesRef next() throws IOException {
            BytesRef ref;
            if ((ref = termsEnum.next()) != null) {
                docsEnum = termsEnum.postings(docsEnum, PostingsEnum.NONE);
                nextOrdinal();
                int docId;
                while ((docId = docsEnum.nextDoc()) != DocIdSetIterator.NO_MORE_DOCS) {
                    addDoc(docId);
                }
            }
            return ref;
        }
    };
}
 

import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
/**
 * Returns a DocIdSet per segments containing the matching docs for the specified slice.
 */
private DocIdSet build(LeafReader reader) throws IOException {
    final DocIdSetBuilder builder = new DocIdSetBuilder(reader.maxDoc());
    final Terms terms = reader.terms(getField());
    final TermsEnum te = terms.iterator();
    PostingsEnum docsEnum = null;
    for (BytesRef term = te.next(); term != null; term = te.next()) {
        int hashCode = term.hashCode();
        if (contains(hashCode)) {
            docsEnum = te.postings(docsEnum, PostingsEnum.NONE);
            builder.add(docsEnum);
        }
    }
    return builder.build();
}
 

import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
/**
 * Adds terms and frequencies found in vector into the Map termFreqMap
 *
 * @param termFreqMap a Map of terms and their frequencies
 * @param vector List of terms and their frequencies for a doc/field
 * @param fieldName Optional field name of the terms for skip terms
 */
private void addTermFrequencies(Map<String, Int> termFreqMap, Terms vector, @Nullable String fieldName) throws IOException {
    final TermsEnum termsEnum = vector.iterator();
    final CharsRefBuilder spare = new CharsRefBuilder();
    BytesRef text;
    while((text = termsEnum.next()) != null) {
        spare.copyUTF8Bytes(text);
        final String term = spare.toString();
        if (isNoiseWord(term)) {
            continue;
        }
        if (isSkipTerm(fieldName, term)) {
            continue;
        }

        final PostingsEnum docs = termsEnum.postings(null);
        int freq = 0;
        while(docs != null && docs.nextDoc() != DocIdSetIterator.NO_MORE_DOCS) {
            freq += docs.freq();
        }

        // increment frequency
        Int cnt = termFreqMap.get(term);
        if (cnt == null) {
            cnt = new Int();
            termFreqMap.put(term, cnt);
            cnt.x = freq;
        } else {
            cnt.x += freq;
        }
    }
}
 

import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
public void testDefaultPositionIncrementGap() throws IOException {
    String mapping = XContentFactory.jsonBuilder().startObject().startObject("type")
            .startObject("properties").startObject("field").field("type", "text").endObject().endObject()
            .endObject().endObject().string();

    DocumentMapper mapper = indexService.mapperService().merge("type",
            new CompressedXContent(mapping), MergeReason.MAPPING_UPDATE, false);

    assertEquals(mapping, mapper.mappingSource().toString());

    ParsedDocument doc = mapper.parse("test", "type", "1", XContentFactory.jsonBuilder()
            .startObject()
            .array("field", new String[] {"a", "b"})
            .endObject()
            .bytes());

    IndexableField[] fields = doc.rootDoc().getFields("field");
    assertEquals(2, fields.length);

    assertEquals("a", fields[0].stringValue());
    assertEquals("b", fields[1].stringValue());

    IndexShard shard = indexService.getShard(0);
    shard.index(new Engine.Index(new Term("_uid", doc.uid() ), doc));
    shard.refresh("test");
    try (Engine.Searcher searcher = shard.acquireSearcher("test")) {
        LeafReader leaf = searcher.getDirectoryReader().leaves().get(0).reader();
        TermsEnum terms = leaf.terms("field").iterator();
        assertTrue(terms.seekExact(new BytesRef("b")));
        PostingsEnum postings = terms.postings(null, PostingsEnum.POSITIONS);
        assertEquals(0, postings.nextDoc());
        assertEquals(TextFieldMapper.Defaults.POSITION_INCREMENT_GAP + 1, postings.nextPosition());
    }
}
 

import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
public void testPositionIncrementGap() throws IOException {
    final int positionIncrementGap = randomIntBetween(1, 1000);
    String mapping = XContentFactory.jsonBuilder().startObject().startObject("type")
            .startObject("properties").startObject("field")
                .field("type", "text")
                .field("position_increment_gap", positionIncrementGap)
            .endObject().endObject()
            .endObject().endObject().string();

    DocumentMapper mapper = indexService.mapperService().merge("type",
            new CompressedXContent(mapping), MergeReason.MAPPING_UPDATE, false);

    assertEquals(mapping, mapper.mappingSource().toString());

    ParsedDocument doc = mapper.parse("test", "type", "1", XContentFactory.jsonBuilder()
            .startObject()
            .array("field", new String[] {"a", "b"})
            .endObject()
            .bytes());

    IndexableField[] fields = doc.rootDoc().getFields("field");
    assertEquals(2, fields.length);

    assertEquals("a", fields[0].stringValue());
    assertEquals("b", fields[1].stringValue());

    IndexShard shard = indexService.getShard(0);
    shard.index(new Engine.Index(new Term("_uid", doc.uid()), doc));
    shard.refresh("test");
    try (Engine.Searcher searcher = shard.acquireSearcher("test")) {
        LeafReader leaf = searcher.getDirectoryReader().leaves().get(0).reader();
        TermsEnum terms = leaf.terms("field").iterator();
        assertTrue(terms.seekExact(new BytesRef("b")));
        PostingsEnum postings = terms.postings(null, PostingsEnum.POSITIONS);
        assertEquals(0, postings.nextDoc());
        assertEquals(positionIncrementGap + 1, postings.nextPosition());
    }
}
 

import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
private void checkBrownFoxTermVector(Fields fields, String fieldName, boolean withPayloads) throws IOException {
    String[] values = {"brown", "dog", "fox", "jumps", "lazy", "over", "quick", "the"};
    int[] freq = {1, 1, 1, 1, 1, 1, 1, 2};
    int[][] pos = {{2}, {8}, {3}, {4}, {7}, {5}, {1}, {0, 6}};
    int[][] startOffset = {{10}, {40}, {16}, {20}, {35}, {26}, {4}, {0, 31}};
    int[][] endOffset = {{15}, {43}, {19}, {25}, {39}, {30}, {9}, {3, 34}};

    Terms terms = fields.terms(fieldName);
    assertThat(terms.size(), equalTo(8L));
    TermsEnum iterator = terms.iterator();
    for (int j = 0; j < values.length; j++) {
        String string = values[j];
        BytesRef next = iterator.next();
        assertThat(next, notNullValue());
        assertThat("expected " + string, string, equalTo(next.utf8ToString()));
        assertThat(next, notNullValue());
        // do not test ttf or doc frequency, because here we have many
        // shards and do not know how documents are distributed
        PostingsEnum docsAndPositions = iterator.postings(null, PostingsEnum.ALL);
        assertThat(docsAndPositions.nextDoc(), equalTo(0));
        assertThat(freq[j], equalTo(docsAndPositions.freq()));
        int[] termPos = pos[j];
        int[] termStartOffset = startOffset[j];
        int[] termEndOffset = endOffset[j];
        assertThat(termPos.length, equalTo(freq[j]));
        assertThat(termStartOffset.length, equalTo(freq[j]));
        assertThat(termEndOffset.length, equalTo(freq[j]));
        for (int k = 0; k < freq[j]; k++) {
            int nextPosition = docsAndPositions.nextPosition();
            assertThat("term: " + string, nextPosition, equalTo(termPos[k]));
            assertThat("term: " + string, docsAndPositions.startOffset(), equalTo(termStartOffset[k]));
            assertThat("term: " + string, docsAndPositions.endOffset(), equalTo(termEndOffset[k]));
            if (withPayloads) {
                assertThat("term: " + string, docsAndPositions.getPayload(), equalTo(new BytesRef("word")));
            }
        }
    }
    assertThat(iterator.next(), nullValue());
}
 

import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
private void compareTermVectors(String fieldName, Fields fields0, Fields fields1) throws IOException {
    Terms terms0 = fields0.terms(fieldName);
    Terms terms1 = fields1.terms(fieldName);
    assertThat(terms0, notNullValue());
    assertThat(terms1, notNullValue());
    assertThat(terms0.size(), equalTo(terms1.size()));

    TermsEnum iter0 = terms0.iterator();
    TermsEnum iter1 = terms1.iterator();
    for (int i = 0; i < terms0.size(); i++) {
        BytesRef next0 = iter0.next();
        assertThat(next0, notNullValue());
        BytesRef next1 = iter1.next();
        assertThat(next1, notNullValue());

        // compare field value
        String string0 = next0.utf8ToString();
        String string1 = next1.utf8ToString();
        assertThat("expected: " + string0, string0, equalTo(string1));

        // compare df and ttf
        assertThat("term: " + string0, iter0.docFreq(), equalTo(iter1.docFreq()));
        assertThat("term: " + string0, iter0.totalTermFreq(), equalTo(iter1.totalTermFreq()));

        // compare freq and docs
        PostingsEnum docsAndPositions0 = iter0.postings(null, PostingsEnum.ALL);
        PostingsEnum docsAndPositions1 = iter1.postings(null, PostingsEnum.ALL);
        assertThat("term: " + string0, docsAndPositions0.nextDoc(), equalTo(docsAndPositions1.nextDoc()));
        assertThat("term: " + string0, docsAndPositions0.freq(), equalTo(docsAndPositions1.freq()));

        // compare position, start offsets and end offsets
        for (int j = 0; j < docsAndPositions0.freq(); j++) {
            assertThat("term: " + string0, docsAndPositions0.nextPosition(), equalTo(docsAndPositions1.nextPosition()));
            assertThat("term: " + string0, docsAndPositions0.startOffset(), equalTo(docsAndPositions1.startOffset()));
            assertThat("term: " + string0, docsAndPositions0.endOffset(), equalTo(docsAndPositions1.endOffset()));
        }
    }
    assertThat(iter0.next(), nullValue());
    assertThat(iter1.next(), nullValue());
}
 

import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
private int getTermFreq(TermsEnum termsEnum, PostingsEnum docsEnum) throws IOException {
    docsEnum = termsEnum.postings(docsEnum);
    docsEnum.nextDoc();
    return docsEnum.freq();
}
 

import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
protected void validateResponse(TermVectorsResponse esResponse, Fields luceneFields, TestConfig testConfig) throws IOException {
    assertThat(esResponse.getIndex(), equalTo(testConfig.doc.index));
    TestDoc testDoc = testConfig.doc;
    HashSet<String> selectedFields = testConfig.selectedFields == null ? null : new HashSet<>(
            Arrays.asList(testConfig.selectedFields));
    Fields esTermVectorFields = esResponse.getFields();
    for (TestFieldSetting field : testDoc.fieldSettings) {
        Terms esTerms = esTermVectorFields.terms(field.name);
        if (selectedFields != null && !selectedFields.contains(field.name)) {
            assertNull(esTerms);
            continue;
        }

        assertNotNull(esTerms);

        Terms luceneTerms = luceneFields.terms(field.name);
        TermsEnum esTermEnum = esTerms.iterator();
        TermsEnum luceneTermEnum = luceneTerms.iterator();

        while (esTermEnum.next() != null) {
            assertNotNull(luceneTermEnum.next());

            assertThat(esTermEnum.totalTermFreq(), equalTo(luceneTermEnum.totalTermFreq()));
            PostingsEnum esDocsPosEnum = esTermEnum.postings(null, PostingsEnum.POSITIONS);
            PostingsEnum luceneDocsPosEnum = luceneTermEnum.postings(null, PostingsEnum.POSITIONS);
            if (luceneDocsPosEnum == null) {
                // test we expect that...
                assertFalse(field.storedOffset);
                assertFalse(field.storedPayloads);
                assertFalse(field.storedPositions);
                continue;
            }

            String currentTerm = esTermEnum.term().utf8ToString();

            assertThat("Token mismatch for field: " + field.name, currentTerm, equalTo(luceneTermEnum.term().utf8ToString()));

            esDocsPosEnum.nextDoc();
            luceneDocsPosEnum.nextDoc();

            int freq = esDocsPosEnum.freq();
            assertThat(freq, equalTo(luceneDocsPosEnum.freq()));
            for (int i = 0; i < freq; i++) {
                String failDesc = " (field:" + field.name + " term:" + currentTerm + ")";
                int lucenePos = luceneDocsPosEnum.nextPosition();
                int esPos = esDocsPosEnum.nextPosition();
                if (field.storedPositions && testConfig.requestPositions) {
                    assertThat("Position test failed" + failDesc, lucenePos, equalTo(esPos));
                } else {
                    assertThat("Missing position test failed" + failDesc, esPos, equalTo(-1));
                }
                if (field.storedOffset && testConfig.requestOffsets) {
                    assertThat("Offset test failed" + failDesc, luceneDocsPosEnum.startOffset(), equalTo(esDocsPosEnum.startOffset()));
                    assertThat("Offset test failed" + failDesc, luceneDocsPosEnum.endOffset(), equalTo(esDocsPosEnum.endOffset()));
                } else {
                    assertThat("Missing offset test failed" + failDesc, esDocsPosEnum.startOffset(), equalTo(-1));
                    assertThat("Missing offset test failed" + failDesc, esDocsPosEnum.endOffset(), equalTo(-1));
                }
                if (field.storedPayloads && testConfig.requestPayloads) {
                    assertThat("Payload test failed" + failDesc, luceneDocsPosEnum.getPayload(), equalTo(esDocsPosEnum.getPayload()));
                } else {
                    assertThat("Missing payload test failed" + failDesc, esDocsPosEnum.getPayload(), equalTo(null));
                }
            }
        }
        assertNull("Es returned terms are done but lucene isn't", luceneTermEnum.next());
    }
}
 

import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
private void checkWithoutFieldStatistics(int numDocs, String[] values, int[] freq, int[][] pos, int[][] startOffset, int[][] endOffset,
        int i) throws IOException {
    TermVectorsRequestBuilder resp = client().prepareTermVectors("test", "type1", Integer.toString(i)).setPayloads(true).setOffsets(true)
            .setPositions(true).setTermStatistics(true).setFieldStatistics(false).setSelectedFields();
    TermVectorsResponse response = resp.execute().actionGet();
    assertThat("doc id: " + i + " doesn't exists but should", response.isExists(), equalTo(true));
    Fields fields = response.getFields();
    assertThat(fields.size(), equalTo(1));
    Terms terms = fields.terms("field");
    assertThat(terms.size(), equalTo(8L));
    assertThat(terms.getSumTotalTermFreq(), Matchers.equalTo((long) -1));
    assertThat(terms.getDocCount(), Matchers.equalTo(-1));
    assertThat(terms.getSumDocFreq(), equalTo((long) -1));
    TermsEnum iterator = terms.iterator();
    for (int j = 0; j < values.length; j++) {
        String string = values[j];
        BytesRef next = iterator.next();
        assertThat(next, Matchers.notNullValue());
        assertThat("expected " + string, string, equalTo(next.utf8ToString()));
        assertThat(next, Matchers.notNullValue());
        if (string.equals("the")) {
            assertThat("expected ttf of " + string, numDocs * 2, equalTo((int) iterator.totalTermFreq()));
        } else {
            assertThat("expected ttf of " + string, numDocs, equalTo((int) iterator.totalTermFreq()));
        }

        PostingsEnum docsAndPositions = iterator.postings(null, PostingsEnum.ALL);
        assertThat(docsAndPositions.nextDoc(), equalTo(0));
        assertThat(freq[j], equalTo(docsAndPositions.freq()));
        assertThat(iterator.docFreq(), equalTo(numDocs));
        int[] termPos = pos[j];
        int[] termStartOffset = startOffset[j];
        int[] termEndOffset = endOffset[j];
        assertThat(termPos.length, equalTo(freq[j]));
        assertThat(termStartOffset.length, equalTo(freq[j]));
        assertThat(termEndOffset.length, equalTo(freq[j]));
        for (int k = 0; k < freq[j]; k++) {
            int nextPosition = docsAndPositions.nextPosition();
            assertThat("term: " + string, nextPosition, equalTo(termPos[k]));
            assertThat("term: " + string, docsAndPositions.startOffset(), equalTo(termStartOffset[k]));
            assertThat("term: " + string, docsAndPositions.endOffset(), equalTo(termEndOffset[k]));
            assertThat("term: " + string, docsAndPositions.getPayload(), equalTo(new BytesRef("word")));
        }
    }
    assertThat(iterator.next(), Matchers.nullValue());

    XContentBuilder xBuilder = XContentFactory.jsonBuilder();
    response.toXContent(xBuilder, null);
    String utf8 = xBuilder.bytes().utf8ToString().replaceFirst("\"took\":\\d+,", "");;
    String expectedString = "{\"_index\":\"test\",\"_type\":\"type1\",\"_id\":\""
            + i
            + "\",\"_version\":1,\"found\":true,\"term_vectors\":{\"field\":{\"terms\":{\"brown\":{\"doc_freq\":15,\"ttf\":15,\"term_freq\":1,\"tokens\":[{\"position\":2,\"start_offset\":10,\"end_offset\":15,\"payload\":\"d29yZA==\"}]},\"dog\":{\"doc_freq\":15,\"ttf\":15,\"term_freq\":1,\"tokens\":[{\"position\":8,\"start_offset\":40,\"end_offset\":43,\"payload\":\"d29yZA==\"}]},\"fox\":{\"doc_freq\":15,\"ttf\":15,\"term_freq\":1,\"tokens\":[{\"position\":3,\"start_offset\":16,\"end_offset\":19,\"payload\":\"d29yZA==\"}]},\"jumps\":{\"doc_freq\":15,\"ttf\":15,\"term_freq\":1,\"tokens\":[{\"position\":4,\"start_offset\":20,\"end_offset\":25,\"payload\":\"d29yZA==\"}]},\"lazy\":{\"doc_freq\":15,\"ttf\":15,\"term_freq\":1,\"tokens\":[{\"position\":7,\"start_offset\":35,\"end_offset\":39,\"payload\":\"d29yZA==\"}]},\"over\":{\"doc_freq\":15,\"ttf\":15,\"term_freq\":1,\"tokens\":[{\"position\":5,\"start_offset\":26,\"end_offset\":30,\"payload\":\"d29yZA==\"}]},\"quick\":{\"doc_freq\":15,\"ttf\":15,\"term_freq\":1,\"tokens\":[{\"position\":1,\"start_offset\":4,\"end_offset\":9,\"payload\":\"d29yZA==\"}]},\"the\":{\"doc_freq\":15,\"ttf\":30,\"term_freq\":2,\"tokens\":[{\"position\":0,\"start_offset\":0,\"end_offset\":3,\"payload\":\"d29yZA==\"},{\"position\":6,\"start_offset\":31,\"end_offset\":34,\"payload\":\"d29yZA==\"}]}}}}}";
    assertThat(utf8, equalTo(expectedString));

}
 

import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
private void checkWithoutTermStatistics(int numDocs, String[] values, int[] freq, int[][] pos, int[][] startOffset, int[][] endOffset,
        int i) throws IOException {
    TermVectorsRequestBuilder resp = client().prepareTermVectors("test", "type1", Integer.toString(i)).setPayloads(true).setOffsets(true)
            .setPositions(true).setTermStatistics(false).setFieldStatistics(true).setSelectedFields();
    assertThat(resp.request().termStatistics(), equalTo(false));
    TermVectorsResponse response = resp.execute().actionGet();
    assertThat("doc id: " + i + " doesn't exists but should", response.isExists(), equalTo(true));
    Fields fields = response.getFields();
    assertThat(fields.size(), equalTo(1));
    Terms terms = fields.terms("field");
    assertThat(terms.size(), equalTo(8L));
    assertThat(terms.getSumTotalTermFreq(), Matchers.equalTo((long) (9 * numDocs)));
    assertThat(terms.getDocCount(), Matchers.equalTo(numDocs));
    assertThat(terms.getSumDocFreq(), equalTo((long) numDocs * values.length));
    TermsEnum iterator = terms.iterator();
    for (int j = 0; j < values.length; j++) {
        String string = values[j];
        BytesRef next = iterator.next();
        assertThat(next, Matchers.notNullValue());
        assertThat("expected " + string, string, equalTo(next.utf8ToString()));
        assertThat(next, Matchers.notNullValue());

        assertThat("expected ttf of " + string, -1, equalTo((int) iterator.totalTermFreq()));

        PostingsEnum docsAndPositions = iterator.postings(null, PostingsEnum.ALL);
        assertThat(docsAndPositions.nextDoc(), equalTo(0));
        assertThat(freq[j], equalTo(docsAndPositions.freq()));
        assertThat(iterator.docFreq(), equalTo(-1));
        int[] termPos = pos[j];
        int[] termStartOffset = startOffset[j];
        int[] termEndOffset = endOffset[j];
        assertThat(termPos.length, equalTo(freq[j]));
        assertThat(termStartOffset.length, equalTo(freq[j]));
        assertThat(termEndOffset.length, equalTo(freq[j]));
        for (int k = 0; k < freq[j]; k++) {
            int nextPosition = docsAndPositions.nextPosition();
            assertThat("term: " + string, nextPosition, equalTo(termPos[k]));
            assertThat("term: " + string, docsAndPositions.startOffset(), equalTo(termStartOffset[k]));
            assertThat("term: " + string, docsAndPositions.endOffset(), equalTo(termEndOffset[k]));
            assertThat("term: " + string, docsAndPositions.getPayload(), equalTo(new BytesRef("word")));
        }
    }
    assertThat(iterator.next(), Matchers.nullValue());

    XContentBuilder xBuilder = XContentFactory.jsonBuilder();
    response.toXContent(xBuilder, null);
    String utf8 = xBuilder.bytes().utf8ToString().replaceFirst("\"took\":\\d+,", "");;
    String expectedString = "{\"_index\":\"test\",\"_type\":\"type1\",\"_id\":\""
            + i
            + "\",\"_version\":1,\"found\":true,\"term_vectors\":{\"field\":{\"field_statistics\":{\"sum_doc_freq\":120,\"doc_count\":15,\"sum_ttf\":135},\"terms\":{\"brown\":{\"term_freq\":1,\"tokens\":[{\"position\":2,\"start_offset\":10,\"end_offset\":15,\"payload\":\"d29yZA==\"}]},\"dog\":{\"term_freq\":1,\"tokens\":[{\"position\":8,\"start_offset\":40,\"end_offset\":43,\"payload\":\"d29yZA==\"}]},\"fox\":{\"term_freq\":1,\"tokens\":[{\"position\":3,\"start_offset\":16,\"end_offset\":19,\"payload\":\"d29yZA==\"}]},\"jumps\":{\"term_freq\":1,\"tokens\":[{\"position\":4,\"start_offset\":20,\"end_offset\":25,\"payload\":\"d29yZA==\"}]},\"lazy\":{\"term_freq\":1,\"tokens\":[{\"position\":7,\"start_offset\":35,\"end_offset\":39,\"payload\":\"d29yZA==\"}]},\"over\":{\"term_freq\":1,\"tokens\":[{\"position\":5,\"start_offset\":26,\"end_offset\":30,\"payload\":\"d29yZA==\"}]},\"quick\":{\"term_freq\":1,\"tokens\":[{\"position\":1,\"start_offset\":4,\"end_offset\":9,\"payload\":\"d29yZA==\"}]},\"the\":{\"term_freq\":2,\"tokens\":[{\"position\":0,\"start_offset\":0,\"end_offset\":3,\"payload\":\"d29yZA==\"},{\"position\":6,\"start_offset\":31,\"end_offset\":34,\"payload\":\"d29yZA==\"}]}}}}}";
    assertThat(utf8, equalTo(expectedString));

}
 

import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
private void checkAllInfo(int numDocs, String[] values, int[] freq, int[][] pos, int[][] startOffset, int[][] endOffset, int i)
        throws IOException {
    TermVectorsRequestBuilder resp = client().prepareTermVectors("test", "type1", Integer.toString(i)).setPayloads(true).setOffsets(true)
            .setPositions(true).setFieldStatistics(true).setTermStatistics(true).setSelectedFields();
    assertThat(resp.request().fieldStatistics(), equalTo(true));
    TermVectorsResponse response = resp.execute().actionGet();
    assertThat("doc id: " + i + " doesn't exists but should", response.isExists(), equalTo(true));
    Fields fields = response.getFields();
    assertThat(fields.size(), equalTo(1));
    Terms terms = fields.terms("field");
    assertThat(terms.size(), equalTo(8L));
    assertThat(terms.getSumTotalTermFreq(), Matchers.equalTo((long) (9 * numDocs)));
    assertThat(terms.getDocCount(), Matchers.equalTo(numDocs));
    assertThat(terms.getSumDocFreq(), equalTo((long) numDocs * values.length));
    TermsEnum iterator = terms.iterator();
    for (int j = 0; j < values.length; j++) {
        String string = values[j];
        BytesRef next = iterator.next();
        assertThat(next, Matchers.notNullValue());
        assertThat("expected " + string, string, equalTo(next.utf8ToString()));
        assertThat(next, Matchers.notNullValue());
        if (string.equals("the")) {
            assertThat("expected ttf of " + string, numDocs * 2, equalTo((int) iterator.totalTermFreq()));
        } else {
            assertThat("expected ttf of " + string, numDocs, equalTo((int) iterator.totalTermFreq()));
        }

        PostingsEnum docsAndPositions = iterator.postings(null, PostingsEnum.ALL);
        assertThat(docsAndPositions.nextDoc(), equalTo(0));
        assertThat(freq[j], equalTo(docsAndPositions.freq()));
        assertThat(iterator.docFreq(), equalTo(numDocs));
        int[] termPos = pos[j];
        int[] termStartOffset = startOffset[j];
        int[] termEndOffset = endOffset[j];
        assertThat(termPos.length, equalTo(freq[j]));
        assertThat(termStartOffset.length, equalTo(freq[j]));
        assertThat(termEndOffset.length, equalTo(freq[j]));
        for (int k = 0; k < freq[j]; k++) {
            int nextPosition = docsAndPositions.nextPosition();
            assertThat("term: " + string, nextPosition, equalTo(termPos[k]));
            assertThat("term: " + string, docsAndPositions.startOffset(), equalTo(termStartOffset[k]));
            assertThat("term: " + string, docsAndPositions.endOffset(), equalTo(termEndOffset[k]));
            assertThat("term: " + string, docsAndPositions.getPayload(), equalTo(new BytesRef("word")));
        }
    }
    assertThat(iterator.next(), Matchers.nullValue());

    XContentBuilder xBuilder = XContentFactory.jsonBuilder();
    response.toXContent(xBuilder, ToXContent.EMPTY_PARAMS);
    String utf8 = xBuilder.bytes().utf8ToString().replaceFirst("\"took\":\\d+,", "");;
    String expectedString = "{\"_index\":\"test\",\"_type\":\"type1\",\"_id\":\""
            + i
            + "\",\"_version\":1,\"found\":true,\"term_vectors\":{\"field\":{\"field_statistics\":{\"sum_doc_freq\":120,\"doc_count\":15,\"sum_ttf\":135},\"terms\":{\"brown\":{\"doc_freq\":15,\"ttf\":15,\"term_freq\":1,\"tokens\":[{\"position\":2,\"start_offset\":10,\"end_offset\":15,\"payload\":\"d29yZA==\"}]},\"dog\":{\"doc_freq\":15,\"ttf\":15,\"term_freq\":1,\"tokens\":[{\"position\":8,\"start_offset\":40,\"end_offset\":43,\"payload\":\"d29yZA==\"}]},\"fox\":{\"doc_freq\":15,\"ttf\":15,\"term_freq\":1,\"tokens\":[{\"position\":3,\"start_offset\":16,\"end_offset\":19,\"payload\":\"d29yZA==\"}]},\"jumps\":{\"doc_freq\":15,\"ttf\":15,\"term_freq\":1,\"tokens\":[{\"position\":4,\"start_offset\":20,\"end_offset\":25,\"payload\":\"d29yZA==\"}]},\"lazy\":{\"doc_freq\":15,\"ttf\":15,\"term_freq\":1,\"tokens\":[{\"position\":7,\"start_offset\":35,\"end_offset\":39,\"payload\":\"d29yZA==\"}]},\"over\":{\"doc_freq\":15,\"ttf\":15,\"term_freq\":1,\"tokens\":[{\"position\":5,\"start_offset\":26,\"end_offset\":30,\"payload\":\"d29yZA==\"}]},\"quick\":{\"doc_freq\":15,\"ttf\":15,\"term_freq\":1,\"tokens\":[{\"position\":1,\"start_offset\":4,\"end_offset\":9,\"payload\":\"d29yZA==\"}]},\"the\":{\"doc_freq\":15,\"ttf\":30,\"term_freq\":2,\"tokens\":[{\"position\":0,\"start_offset\":0,\"end_offset\":3,\"payload\":\"d29yZA==\"},{\"position\":6,\"start_offset\":31,\"end_offset\":34,\"payload\":\"d29yZA==\"}]}}}}}";
    assertThat(utf8, equalTo(expectedString));
}
 

import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
public void map(Terms terms,Spans spans) throws IOException {
	int primStart = spanStart - primaryWS;
    int primEnd = spanEnd + primaryWS;
    // stores the start and end of the adjacent previous and following
    int adjLBStart = primStart - adjWS;
    int adjLBEnd = primStart - 1;//don't overlap
    int adjUBStart = primEnd + 1;//don't overlap
    int adjUBEnd = primEnd + adjWS;
    //stores the start and end of the secondary previous and the secondary following
    int secLBStart = adjLBStart - secWS;
    int secLBEnd = adjLBStart - 1; //don't overlap the adjacent window
    int secUBStart = adjUBEnd + 1;
    int secUBEnd = adjUBEnd + secWS;
    WindowTerm lastWT = null;
    if(terms!=null)
    {}
	TermsEnum termsEnum = terms.iterator();
    BytesRef termref = null;
    String term=null;
    
    while ((termref = termsEnum.next()) != null) {
  	term=termsEnum.term().utf8ToString();
  	PostingsEnum postings = termsEnum.postings(null, PostingsEnum.PAYLOADS | PostingsEnum.OFFSETS);
  	postings.nextDoc();
  if (term.startsWith(NameFilter.NE_PREFIX) == false && term.startsWith(PassageRankingComponent.NE_PREFIX_LOWER) == false) {//filter out the types, as we don't need them here
    //construct the windows, which means we need a bunch of 
	//bracketing variables to know what window we are in
    //start and end of the primary window
      //unfortunately, we still have to loop over the positions
      //we'll make this inclusive of the boundaries, do an upfront check here so
      //we can skip over anything that is outside of all windows
    	//int position=spans.nextStartPosition();
    	int position=postings.nextPosition();
      if (position >= secLBStart && position <= secUBEnd) {
        //fill in the windows
        WindowTerm wt;
        //offsets aren't required, but they are nice to have
        
        if (postings != null){
        //log.warn("terms if postings!=null {}",term);
        wt = new WindowTerm(term, position, postings.startOffset(), postings.endOffset());
        } else {
          wt = new WindowTerm(term, position);
          //log.warn("terms if postings==null {}",term);
        }
        
        if (position >= primStart && position <= primEnd) {//are we in the primary window
          passage.terms.add(wt);
          //we are only going to keep bigrams for the primary window.  You could do it for the other windows, too
          if (lastWT != null) {
            WindowTerm bigramWT = new WindowTerm(lastWT.term + "," + term, lastWT.position);//we don't care about offsets for bigrams
            passage.bigrams.add(bigramWT);
          }
          lastWT = wt;
        } else if (position >= secLBStart && position <= secLBEnd) {
        	//are we in the secondary previous window?
          passage.secPrevTerms.add(wt);
        } else if (position >= secUBStart && position <= secUBEnd) {//are we in the secondary following window?
          passage.secFollowTerms.add(wt);
        } else if (position >= adjLBStart && position <= adjLBEnd) {//are we in the adjacent previous window?
          passage.prevTerms.add(wt);
        } else if (position >= adjUBStart && position <= adjUBEnd) {//are we in the adjacent following window?
          passage.followTerms.add(wt);
        }
      }
    //}
  }}
}