本文整理汇总了Java中org.apache.lucene.index.TermsEnum.totalTermFreq方法的典型用法代码示例。如果您正苦于以下问题：Java TermsEnum.totalTermFreq方法的具体用法？Java TermsEnum.totalTermFreq怎么用？Java TermsEnum.totalTermFreq使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.apache.lucene.index.TermsEnum的用法示例。
在下文中一共展示了TermsEnum.totalTermFreq方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: writeTermStatistics
import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
private void writeTermStatistics(TermsEnum topLevelIterator) throws IOException {
int docFreq = topLevelIterator.docFreq();
assert (docFreq >= -1);
writePotentiallyNegativeVInt(docFreq);
long ttf = topLevelIterator.totalTermFreq();
assert (ttf >= -1);
writePotentiallyNegativeVLong(ttf);
}
示例2: getTermStatistics
import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
private TermStatistics getTermStatistics(TermsEnum termsEnum, Term term) throws IOException {
if (dfs != null) {
return dfs.termStatistics().get(term);
}
return new TermStatistics(termsEnum.term(), termsEnum.docFreq(), termsEnum.totalTermFreq());
}
示例3: testArtificialDocWithPreference
import org.apache.lucene.index.TermsEnum; //导入方法依赖的package包/类
public void testArtificialDocWithPreference() throws ExecutionException, InterruptedException, IOException {
// setup indices
Settings.Builder settings = Settings.builder()
.put(indexSettings())
.put("index.analysis.analyzer", "standard");
assertAcked(prepareCreate("test")
.setSettings(settings)
.addMapping("type1", "field1", "type=text,term_vector=with_positions_offsets"));
ensureGreen();
// index document
indexRandom(true, client().prepareIndex("test", "type1", "1").setSource("field1", "random permutation"));
// Get search shards
ClusterSearchShardsResponse searchShardsResponse = client().admin().cluster().prepareSearchShards("test").get();
List<Integer> shardIds = Arrays.stream(searchShardsResponse.getGroups()).map(s -> s.getShardId().id()).collect(Collectors.toList());
// request termvectors of artificial document from each shard
int sumTotalTermFreq = 0;
int sumDocFreq = 0;
for (Integer shardId : shardIds) {
TermVectorsResponse tvResponse = client().prepareTermVectors()
.setIndex("test")
.setType("type1")
.setPreference("_shards:" + shardId)
.setDoc(jsonBuilder().startObject().field("field1", "random permutation").endObject())
.setFieldStatistics(true)
.setTermStatistics(true)
.get();
Fields fields = tvResponse.getFields();
Terms terms = fields.terms("field1");
assertNotNull(terms);
TermsEnum termsEnum = terms.iterator();
while (termsEnum.next() != null) {
sumTotalTermFreq += termsEnum.totalTermFreq();
sumDocFreq += termsEnum.docFreq();
}
}
assertEquals("expected to find term statistics in exactly one shard!", 2, sumTotalTermFreq);
assertEquals("expected to find term statistics in exactly one shard!", 2, sumDocFreq);
}