private void buildTermStatistics(XContentBuilder builder, TermsEnum termIter) throws IOException {
   // write term statistics. At this point we do not naturally have a
   // boolean that says if these values actually were requested.
   // However, we can assume that they were not if the statistic values are
   // <= 0.
   assert (((termIter.docFreq() > 0) && (termIter.totalTermFreq() > 0))
       || ((termIter.docFreq() == -1) && (termIter.totalTermFreq() == -1)));
   int docFreq = termIter.docFreq();
   if (docFreq > 0) {
     builder.field(FieldStrings.DOC_FREQ, docFreq);
     builder.field(FieldStrings.TTF, termIter.totalTermFreq());
   }
 }
Ejemplo n.º 2
0
  /**
   * Add term frequencies for a single document to a frequency map.
   *
   * @param reader the index
   * @param doc doc id
   * @param luceneName the index field from which to use the term vector
   * @param freq where to add to the token frequencies
   */
  public static void getFrequenciesFromTermVector(
      IndexReader reader, int doc, String luceneName, Map<String, Integer> freq) {
    try {
      org.apache.lucene.index.Terms terms = reader.getTermVector(doc, luceneName);
      if (terms == null) {
        throw new IllegalArgumentException("Field " + luceneName + " has no Terms");
      }
      TermsEnum termsEnum = terms.iterator();

      // Verzamel concordantiewoorden uit term vector
      PostingsEnum postingsEnum = null;
      while (termsEnum.next() != null) {
        postingsEnum = termsEnum.postings(null, postingsEnum, PostingsEnum.FREQS);
        String term = termsEnum.term().utf8ToString();
        Integer n = freq.get(term);
        if (n == null) {
          n = 0;
        }
        while (postingsEnum.nextDoc() != DocIdSetIterator.NO_MORE_DOCS) {
          n += termsEnum.docFreq();
        }
        freq.put(term, n);
      }
    } catch (Exception e) {
      throw ExUtil.wrapRuntimeException(e);
    }
  }
Ejemplo n.º 3
0
  public void listTokens(int freq) throws IOException {
    IndexReader ireader = null;
    TermsEnum iter = null;
    Terms terms = null;

    try {
      ireader = DirectoryReader.open(indexDirectory);
      int numDocs = ireader.numDocs();
      if (numDocs > 0) {
        Fields uFields = MultiFields.getFields(ireader); // reader.getTermVectors(0);
        terms = uFields.terms(QueryBuilder.DEFS);
      }
      iter = terms.iterator(null); // init uid iterator
      while (iter.term() != null) {
        // if (iter.term().field().startsWith("f")) {
        if (iter.docFreq() > 16 && iter.term().utf8ToString().length() > freq) {
          log.warning(iter.term().utf8ToString());
        }
        iter.next();
        /*} else {
        break;
        }*/
      }
    } finally {

      if (ireader != null) {
        try {
          ireader.close();
        } catch (IOException e) {
          log.log(Level.WARNING, "An error occured while closing index reader", e);
        }
      }
    }
  }
Ejemplo n.º 4
0
  /*
   *  listTermDictionary displays the term dictionary for a field.
   */
  static void listTermDictionary(IndexReader reader, String fieldName) throws IOException {

    System.out.println("\nTerm Dictionary:  field " + fieldName);

    /*
      Grant says:
      MultiFields.getTerms(IndexReader, fieldName)
    */

    Terms terms = MultiFields.getTerms(reader, fieldName);

    if ((terms == null) || (terms.size() == -1))
      System.out.println("    The term dictionary is empty.");
    else {
      System.out.println("    Vocabulary size: " + terms.size() + " terms");

      TermsEnum ithTerm = terms.iterator(null);

      /*
       *  Iterate over the terms in this document.
       *  Information about a term's occurrences (tf and
       *  positions) is accessed via the indexing API, which
       *  returns inverted lists that describe (only) the
       *  current document.
       */
      while (ithTerm.next() != null) {
        System.out.format(
            "      %-30s %d %d\n",
            ithTerm.term().utf8ToString(), ithTerm.docFreq(), ithTerm.totalTermFreq());
      }
      ;
    }
    ;
  }
Ejemplo n.º 5
0
 public static void fillQueue(TermsEnum termsEnum, TermStatsQueue tiq, String field)
     throws Exception {
   BytesRef term;
   while ((term = termsEnum.next()) != null) {
     BytesRef r = new BytesRef();
     r.copyBytes(term);
     tiq.insertWithOverflow(new TermStats(field, r, termsEnum.docFreq()));
   }
 }
Ejemplo n.º 6
0
 protected void fill(String field, TermsEnum termsEnum) throws IOException {
   while (true) {
     BytesRef term = termsEnum.next();
     if (term != null) {
       insertWithOverflow(new TermStats(field, term, termsEnum.docFreq()));
     } else {
       break;
     }
   }
 }
Ejemplo n.º 7
0
  public void collectTermContext(
      IndexReader reader,
      List<LeafReaderContext> leaves,
      TermContext[] contextArray,
      Term[] queryTerms)
      throws IOException {
    TermsEnum termsEnum = null;
    for (LeafReaderContext context : leaves) {
      final Fields fields = context.reader().fields();
      for (int i = 0; i < queryTerms.length; i++) {
        Term term = queryTerms[i];
        TermContext termContext = contextArray[i];
        final Terms terms = fields.terms(term.field());
        if (terms == null) {
          // field does not exist
          continue;
        }
        termsEnum = terms.iterator();
        assert termsEnum != null;

        if (termsEnum == TermsEnum.EMPTY) continue;
        if (termsEnum.seekExact(term.bytes())) {
          if (termContext == null) {
            contextArray[i] =
                new TermContext(
                    reader.getContext(),
                    termsEnum.termState(),
                    context.ord,
                    termsEnum.docFreq(),
                    termsEnum.totalTermFreq());
          } else {
            termContext.register(
                termsEnum.termState(), context.ord, termsEnum.docFreq(), termsEnum.totalTermFreq());
          }
        }
      }
    }
  }
Ejemplo n.º 8
0
  public static DocSet createDocSet(SolrIndexSearcher searcher, Term term) throws IOException {
    DirectoryReader reader = searcher.getRawReader(); // raw reader to avoid extra wrapping overhead
    int maxDoc = searcher.getIndexReader().maxDoc();
    int smallSetSize = smallSetSize(maxDoc);

    String field = term.field();
    BytesRef termVal = term.bytes();

    int maxCount = 0;
    int firstReader = -1;
    List<LeafReaderContext> leaves = reader.leaves();
    PostingsEnum[] postList =
        new PostingsEnum
            [leaves
                .size()]; // use array for slightly higher scanning cost, but fewer memory
                          // allocations
    for (LeafReaderContext ctx : leaves) {
      assert leaves.get(ctx.ord) == ctx;
      LeafReader r = ctx.reader();
      Fields f = r.fields();
      Terms t = f.terms(field);
      if (t == null) continue; // field is missing
      TermsEnum te = t.iterator();
      if (te.seekExact(termVal)) {
        maxCount += te.docFreq();
        postList[ctx.ord] = te.postings(null, PostingsEnum.NONE);
        if (firstReader < 0) firstReader = ctx.ord;
      }
    }

    if (maxCount == 0) {
      return DocSet.EMPTY;
    }

    if (maxCount <= smallSetSize) {
      return createSmallSet(leaves, postList, maxCount, firstReader);
    }

    return createBigSet(leaves, postList, maxDoc, firstReader);
  }
Ejemplo n.º 9
0
 @Override
 public int docFreq() throws IOException {
   return termsEnum.docFreq();
 }
Ejemplo n.º 10
0
  /** Call this only once (if you subclass!) */
  protected void uninvert(final LeafReader reader, Bits liveDocs, final BytesRef termPrefix)
      throws IOException {
    final FieldInfo info = reader.getFieldInfos().fieldInfo(field);
    if (checkForDocValues && info != null && info.getDocValuesType() != DocValuesType.NONE) {
      throw new IllegalStateException(
          "Type mismatch: " + field + " was indexed as " + info.getDocValuesType());
    }
    // System.out.println("DTO uninvert field=" + field + " prefix=" + termPrefix);
    final long startTime = System.nanoTime();
    prefix = termPrefix == null ? null : BytesRef.deepCopyOf(termPrefix);

    final int maxDoc = reader.maxDoc();
    final int[] index =
        new int
            [maxDoc]; // immediate term numbers, or the index into the byte[] representing the last
    // number
    final int[] lastTerm = new int[maxDoc]; // last term we saw for this document
    final byte[][] bytes =
        new byte[maxDoc][]; // list of term numbers for the doc (delta encoded vInts)

    final Terms terms = reader.terms(field);
    if (terms == null) {
      // No terms
      return;
    }

    final TermsEnum te = terms.iterator();
    final BytesRef seekStart = termPrefix != null ? termPrefix : new BytesRef();
    // System.out.println("seekStart=" + seekStart.utf8ToString());
    if (te.seekCeil(seekStart) == TermsEnum.SeekStatus.END) {
      // No terms match
      return;
    }

    // For our "term index wrapper"
    final List<BytesRef> indexedTerms = new ArrayList<>();
    final PagedBytes indexedTermsBytes = new PagedBytes(15);

    // we need a minimum of 9 bytes, but round up to 12 since the space would
    // be wasted with most allocators anyway.
    byte[] tempArr = new byte[12];

    //
    // enumerate all terms, and build an intermediate form of the un-inverted field.
    //
    // During this intermediate form, every document has a (potential) byte[]
    // and the int[maxDoc()] array either contains the termNumber list directly
    // or the *end* offset of the termNumber list in its byte array (for faster
    // appending and faster creation of the final form).
    //
    // idea... if things are too large while building, we could do a range of docs
    // at a time (but it would be a fair amount slower to build)
    // could also do ranges in parallel to take advantage of multiple CPUs

    // OPTIONAL: remap the largest df terms to the lowest 128 (single byte)
    // values.  This requires going over the field first to find the most
    // frequent terms ahead of time.

    int termNum = 0;
    postingsEnum = null;

    // Loop begins with te positioned to first term (we call
    // seek above):
    for (; ; ) {
      final BytesRef t = te.term();
      if (t == null || (termPrefix != null && !StringHelper.startsWith(t, termPrefix))) {
        break;
      }
      // System.out.println("visit term=" + t.utf8ToString() + " " + t + " termNum=" + termNum);

      visitTerm(te, termNum);

      if ((termNum & indexIntervalMask) == 0) {
        // Index this term
        sizeOfIndexedStrings += t.length;
        BytesRef indexedTerm = new BytesRef();
        indexedTermsBytes.copy(t, indexedTerm);
        // TODO: really should 1) strip off useless suffix,
        // and 2) use FST not array/PagedBytes
        indexedTerms.add(indexedTerm);
      }

      final int df = te.docFreq();
      if (df <= maxTermDocFreq) {

        postingsEnum = te.postings(postingsEnum, PostingsEnum.NONE);

        // dF, but takes deletions into account
        int actualDF = 0;

        for (; ; ) {
          int doc = postingsEnum.nextDoc();
          if (doc == DocIdSetIterator.NO_MORE_DOCS) {
            break;
          }
          // System.out.println("  chunk=" + chunk + " docs");

          actualDF++;
          termInstances++;

          // System.out.println("    docID=" + doc);
          // add TNUM_OFFSET to the term number to make room for special reserved values:
          // 0 (end term) and 1 (index into byte array follows)
          int delta = termNum - lastTerm[doc] + TNUM_OFFSET;
          lastTerm[doc] = termNum;
          int val = index[doc];

          if ((val & 0xff) == 1) {
            // index into byte array (actually the end of
            // the doc-specific byte[] when building)
            int pos = val >>> 8;
            int ilen = vIntSize(delta);
            byte[] arr = bytes[doc];
            int newend = pos + ilen;
            if (newend > arr.length) {
              // We avoid a doubling strategy to lower memory usage.
              // this faceting method isn't for docs with many terms.
              // In hotspot, objects have 2 words of overhead, then fields, rounded up to a 64-bit
              // boundary.
              // TODO: figure out what array lengths we can round up to w/o actually using more
              // memory
              // (how much space does a byte[] take up?  Is data preceded by a 32 bit length only?
              // It should be safe to round up to the nearest 32 bits in any case.
              int newLen = (newend + 3) & 0xfffffffc; // 4 byte alignment
              byte[] newarr = new byte[newLen];
              System.arraycopy(arr, 0, newarr, 0, pos);
              arr = newarr;
              bytes[doc] = newarr;
            }
            pos = writeInt(delta, arr, pos);
            index[doc] = (pos << 8) | 1; // update pointer to end index in byte[]
          } else {
            // OK, this int has data in it... find the end (a zero starting byte - not
            // part of another number, hence not following a byte with the high bit set).
            int ipos;
            if (val == 0) {
              ipos = 0;
            } else if ((val & 0x0000ff80) == 0) {
              ipos = 1;
            } else if ((val & 0x00ff8000) == 0) {
              ipos = 2;
            } else if ((val & 0xff800000) == 0) {
              ipos = 3;
            } else {
              ipos = 4;
            }

            // System.out.println("      ipos=" + ipos);

            int endPos = writeInt(delta, tempArr, ipos);
            // System.out.println("      endpos=" + endPos);
            if (endPos <= 4) {
              // System.out.println("      fits!");
              // value will fit in the integer... move bytes back
              for (int j = ipos; j < endPos; j++) {
                val |= (tempArr[j] & 0xff) << (j << 3);
              }
              index[doc] = val;
            } else {
              // value won't fit... move integer into byte[]
              for (int j = 0; j < ipos; j++) {
                tempArr[j] = (byte) val;
                val >>>= 8;
              }
              // point at the end index in the byte[]
              index[doc] = (endPos << 8) | 1;
              bytes[doc] = tempArr;
              tempArr = new byte[12];
            }
          }
        }
        setActualDocFreq(termNum, actualDF);
      }

      termNum++;
      if (te.next() == null) {
        break;
      }
    }

    numTermsInField = termNum;

    long midPoint = System.nanoTime();

    if (termInstances == 0) {
      // we didn't invert anything
      // lower memory consumption.
      tnums = null;
    } else {

      this.index = index;

      //
      // transform intermediate form into the final form, building a single byte[]
      // at a time, and releasing the intermediate byte[]s as we go to avoid
      // increasing the memory footprint.
      //

      for (int pass = 0; pass < 256; pass++) {
        byte[] target = tnums[pass];
        int pos = 0; // end in target;
        if (target != null) {
          pos = target.length;
        } else {
          target = new byte[4096];
        }

        // loop over documents, 0x00ppxxxx, 0x01ppxxxx, 0x02ppxxxx
        // where pp is the pass (which array we are building), and xx is all values.
        // each pass shares the same byte[] for termNumber lists.
        for (int docbase = pass << 16; docbase < maxDoc; docbase += (1 << 24)) {
          int lim = Math.min(docbase + (1 << 16), maxDoc);
          for (int doc = docbase; doc < lim; doc++) {
            // System.out.println("  pass="******" process docID=" + doc);
            int val = index[doc];
            if ((val & 0xff) == 1) {
              int len = val >>> 8;
              // System.out.println("    ptr pos=" + pos);
              index[doc] = (pos << 8) | 1; // change index to point to start of array
              if ((pos & 0xff000000) != 0) {
                // we only have 24 bits for the array index
                throw new IllegalStateException(
                    "Too many values for UnInvertedField faceting on field " + field);
              }
              byte[] arr = bytes[doc];
              /*
              for(byte b : arr) {
                //System.out.println("      b=" + Integer.toHexString((int) b));
              }
              */
              bytes[doc] = null; // IMPORTANT: allow GC to avoid OOM
              if (target.length <= pos + len) {
                int newlen = target.length;
                /**
                 * * we don't have to worry about the array getting too large since the "pos" param
                 * will overflow first (only 24 bits available) if ((newlen<<1) <= 0) { //
                 * overflow... newlen = Integer.MAX_VALUE; if (newlen <= pos + len) { throw new
                 * SolrException(400,"Too many terms to uninvert field!"); } } else { while (newlen
                 * <= pos + len) newlen<<=1; // doubling strategy } **
                 */
                while (newlen <= pos + len) newlen <<= 1; // doubling strategy
                byte[] newtarget = new byte[newlen];
                System.arraycopy(target, 0, newtarget, 0, pos);
                target = newtarget;
              }
              System.arraycopy(arr, 0, target, pos, len);
              pos += len + 1; // skip single byte at end and leave it 0 for terminator
            }
          }
        }

        // shrink array
        if (pos < target.length) {
          byte[] newtarget = new byte[pos];
          System.arraycopy(target, 0, newtarget, 0, pos);
          target = newtarget;
        }

        tnums[pass] = target;

        if ((pass << 16) > maxDoc) break;
      }
    }
    indexedTermsArray = indexedTerms.toArray(new BytesRef[indexedTerms.size()]);

    long endTime = System.nanoTime();

    total_time = (int) TimeUnit.MILLISECONDS.convert(endTime - startTime, TimeUnit.NANOSECONDS);
    phase1_time = (int) TimeUnit.MILLISECONDS.convert(midPoint - startTime, TimeUnit.NANOSECONDS);
  }
Ejemplo n.º 11
0
  @Override
  public void process(ResponseBuilder rb) throws IOException {
    SolrParams params = rb.req.getParams();
    if (!params.getBool(TermsParams.TERMS, false)) return;

    String[] fields = params.getParams(TermsParams.TERMS_FIELD);

    NamedList<Object> termsResult = new SimpleOrderedMap<>();
    rb.rsp.add("terms", termsResult);

    if (fields == null || fields.length == 0) return;

    int limit = params.getInt(TermsParams.TERMS_LIMIT, 10);
    if (limit < 0) {
      limit = Integer.MAX_VALUE;
    }

    String lowerStr = params.get(TermsParams.TERMS_LOWER);
    String upperStr = params.get(TermsParams.TERMS_UPPER);
    boolean upperIncl = params.getBool(TermsParams.TERMS_UPPER_INCLUSIVE, false);
    boolean lowerIncl = params.getBool(TermsParams.TERMS_LOWER_INCLUSIVE, true);
    boolean sort =
        !TermsParams.TERMS_SORT_INDEX.equals(
            params.get(TermsParams.TERMS_SORT, TermsParams.TERMS_SORT_COUNT));
    int freqmin = params.getInt(TermsParams.TERMS_MINCOUNT, 1);
    int freqmax = params.getInt(TermsParams.TERMS_MAXCOUNT, UNLIMITED_MAX_COUNT);
    if (freqmax < 0) {
      freqmax = Integer.MAX_VALUE;
    }
    String prefix = params.get(TermsParams.TERMS_PREFIX_STR);
    String regexp = params.get(TermsParams.TERMS_REGEXP_STR);
    Pattern pattern = regexp != null ? Pattern.compile(regexp, resolveRegexpFlags(params)) : null;

    boolean raw = params.getBool(TermsParams.TERMS_RAW, false);

    final AtomicReader indexReader = rb.req.getSearcher().getAtomicReader();
    Fields lfields = indexReader.fields();

    for (String field : fields) {
      NamedList<Integer> fieldTerms = new NamedList<>();
      termsResult.add(field, fieldTerms);

      Terms terms = lfields == null ? null : lfields.terms(field);
      if (terms == null) {
        // no terms for this field
        continue;
      }

      FieldType ft = raw ? null : rb.req.getSchema().getFieldTypeNoEx(field);
      if (ft == null) ft = new StrField();

      // prefix must currently be text
      BytesRef prefixBytes = prefix == null ? null : new BytesRef(prefix);

      BytesRef upperBytes = null;
      if (upperStr != null) {
        upperBytes = new BytesRef();
        ft.readableToIndexed(upperStr, upperBytes);
      }

      BytesRef lowerBytes;
      if (lowerStr == null) {
        // If no lower bound was specified, use the prefix
        lowerBytes = prefixBytes;
      } else {
        lowerBytes = new BytesRef();
        if (raw) {
          // TODO: how to handle binary? perhaps we don't for "raw"... or if the field exists
          // perhaps we detect if the FieldType is non-character and expect hex if so?
          lowerBytes = new BytesRef(lowerStr);
        } else {
          lowerBytes = new BytesRef();
          ft.readableToIndexed(lowerStr, lowerBytes);
        }
      }

      TermsEnum termsEnum = terms.iterator(null);
      BytesRef term = null;

      if (lowerBytes != null) {
        if (termsEnum.seekCeil(lowerBytes) == TermsEnum.SeekStatus.END) {
          termsEnum = null;
        } else {
          term = termsEnum.term();
          // Only advance the enum if we are excluding the lower bound and the lower Term actually
          // matches
          if (lowerIncl == false && term.equals(lowerBytes)) {
            term = termsEnum.next();
          }
        }
      } else {
        // position termsEnum on first term
        term = termsEnum.next();
      }

      int i = 0;
      BoundedTreeSet<CountPair<BytesRef, Integer>> queue =
          (sort ? new BoundedTreeSet<CountPair<BytesRef, Integer>>(limit) : null);
      CharsRef external = new CharsRef();
      while (term != null && (i < limit || sort)) {
        boolean externalized = false; // did we fill in "external" yet for this term?

        // stop if the prefix doesn't match
        if (prefixBytes != null && !StringHelper.startsWith(term, prefixBytes)) break;

        if (pattern != null) {
          // indexed text or external text?
          // TODO: support "raw" mode?
          ft.indexedToReadable(term, external);
          externalized = true;
          if (!pattern.matcher(external).matches()) {
            term = termsEnum.next();
            continue;
          }
        }

        if (upperBytes != null) {
          int upperCmp = term.compareTo(upperBytes);
          // if we are past the upper term, or equal to it (when don't include upper) then stop.
          if (upperCmp > 0 || (upperCmp == 0 && !upperIncl)) break;
        }

        // This is a good term in the range.  Check if mincount/maxcount conditions are satisfied.
        int docFreq = termsEnum.docFreq();
        if (docFreq >= freqmin && docFreq <= freqmax) {
          // add the term to the list
          if (sort) {
            queue.add(new CountPair<>(BytesRef.deepCopyOf(term), docFreq));
          } else {

            // TODO: handle raw somehow
            if (!externalized) {
              ft.indexedToReadable(term, external);
            }
            fieldTerms.add(external.toString(), docFreq);
            i++;
          }
        }

        term = termsEnum.next();
      }

      if (sort) {
        for (CountPair<BytesRef, Integer> item : queue) {
          if (i >= limit) break;
          ft.indexedToReadable(item.key, external);
          fieldTerms.add(external.toString(), item.val);
          i++;
        }
      }
    }
  }
Ejemplo n.º 12
0
  /**
   * Returns a list of terms in the specified field along with the corresponding count of documents
   * in the set that match that constraint. This method uses the FilterCache to get the intersection
   * count between <code>docs</code> and the DocSet for each term in the filter.
   *
   * @see FacetParams#FACET_LIMIT
   * @see FacetParams#FACET_ZEROS
   * @see FacetParams#FACET_MISSING
   */
  public NamedList<Integer> getFacetTermEnumCounts(
      SolrIndexSearcher searcher,
      DocSet docs,
      String field,
      int offset,
      int limit,
      int mincount,
      boolean missing,
      String sort,
      String prefix,
      String contains,
      boolean ignoreCase,
      SolrParams params)
      throws IOException {

    /* :TODO: potential optimization...
     * cache the Terms with the highest docFreq and try them first
     * don't enum if we get our max from them
     */

    // Minimum term docFreq in order to use the filterCache for that term.
    int minDfFilterCache = global.getFieldInt(field, FacetParams.FACET_ENUM_CACHE_MINDF, 0);

    // make sure we have a set that is fast for random access, if we will use it for that
    DocSet fastForRandomSet = docs;
    if (minDfFilterCache > 0 && docs instanceof SortedIntDocSet) {
      SortedIntDocSet sset = (SortedIntDocSet) docs;
      fastForRandomSet = new HashDocSet(sset.getDocs(), 0, sset.size());
    }

    IndexSchema schema = searcher.getSchema();
    LeafReader r = searcher.getLeafReader();
    FieldType ft = schema.getFieldType(field);

    boolean sortByCount = sort.equals("count") || sort.equals("true");
    final int maxsize = limit >= 0 ? offset + limit : Integer.MAX_VALUE - 1;
    final BoundedTreeSet<CountPair<BytesRef, Integer>> queue =
        sortByCount ? new BoundedTreeSet<CountPair<BytesRef, Integer>>(maxsize) : null;
    final NamedList<Integer> res = new NamedList<>();

    int min = mincount - 1; // the smallest value in the top 'N' values
    int off = offset;
    int lim = limit >= 0 ? limit : Integer.MAX_VALUE;

    BytesRef prefixTermBytes = null;
    if (prefix != null) {
      String indexedPrefix = ft.toInternal(prefix);
      prefixTermBytes = new BytesRef(indexedPrefix);
    }

    Fields fields = r.fields();
    Terms terms = fields == null ? null : fields.terms(field);
    TermsEnum termsEnum = null;
    SolrIndexSearcher.DocsEnumState deState = null;
    BytesRef term = null;
    if (terms != null) {
      termsEnum = terms.iterator();

      // TODO: OPT: if seek(ord) is supported for this termsEnum, then we could use it for
      // facet.offset when sorting by index order.

      if (prefixTermBytes != null) {
        if (termsEnum.seekCeil(prefixTermBytes) == TermsEnum.SeekStatus.END) {
          termsEnum = null;
        } else {
          term = termsEnum.term();
        }
      } else {
        // position termsEnum on first term
        term = termsEnum.next();
      }
    }

    PostingsEnum postingsEnum = null;
    CharsRefBuilder charsRef = new CharsRefBuilder();

    if (docs.size() >= mincount) {
      while (term != null) {

        if (prefixTermBytes != null && !StringHelper.startsWith(term, prefixTermBytes)) break;

        if (contains == null || contains(term.utf8ToString(), contains, ignoreCase)) {
          int df = termsEnum.docFreq();

          // If we are sorting, we can use df>min (rather than >=) since we
          // are going in index order.  For certain term distributions this can
          // make a large difference (for example, many terms with df=1).
          if (df > 0 && df > min) {
            int c;

            if (df >= minDfFilterCache) {
              // use the filter cache

              if (deState == null) {
                deState = new SolrIndexSearcher.DocsEnumState();
                deState.fieldName = field;
                deState.liveDocs = r.getLiveDocs();
                deState.termsEnum = termsEnum;
                deState.postingsEnum = postingsEnum;
              }

              c = searcher.numDocs(docs, deState);

              postingsEnum = deState.postingsEnum;
            } else {
              // iterate over TermDocs to calculate the intersection

              // TODO: specialize when base docset is a bitset or hash set (skipDocs)?  or does it
              // matter for this?
              // TODO: do this per-segment for better efficiency (MultiDocsEnum just uses base class
              // impl)
              // TODO: would passing deleted docs lead to better efficiency over checking the
              // fastForRandomSet?
              postingsEnum = termsEnum.postings(postingsEnum, PostingsEnum.NONE);
              c = 0;

              if (postingsEnum instanceof MultiPostingsEnum) {
                MultiPostingsEnum.EnumWithSlice[] subs =
                    ((MultiPostingsEnum) postingsEnum).getSubs();
                int numSubs = ((MultiPostingsEnum) postingsEnum).getNumSubs();
                for (int subindex = 0; subindex < numSubs; subindex++) {
                  MultiPostingsEnum.EnumWithSlice sub = subs[subindex];
                  if (sub.postingsEnum == null) continue;
                  int base = sub.slice.start;
                  int docid;
                  while ((docid = sub.postingsEnum.nextDoc()) != DocIdSetIterator.NO_MORE_DOCS) {
                    if (fastForRandomSet.exists(docid + base)) c++;
                  }
                }
              } else {
                int docid;
                while ((docid = postingsEnum.nextDoc()) != DocIdSetIterator.NO_MORE_DOCS) {
                  if (fastForRandomSet.exists(docid)) c++;
                }
              }
            }

            if (sortByCount) {
              if (c > min) {
                BytesRef termCopy = BytesRef.deepCopyOf(term);
                queue.add(new CountPair<>(termCopy, c));
                if (queue.size() >= maxsize) min = queue.last().val;
              }
            } else {
              if (c >= mincount && --off < 0) {
                if (--lim < 0) break;
                ft.indexedToReadable(term, charsRef);
                res.add(charsRef.toString(), c);
              }
            }
          }
        }
        term = termsEnum.next();
      }
    }

    if (sortByCount) {
      for (CountPair<BytesRef, Integer> p : queue) {
        if (--off >= 0) continue;
        if (--lim < 0) break;
        ft.indexedToReadable(p.key, charsRef);
        res.add(charsRef.toString(), p.val);
      }
    }

    if (missing) {
      res.add(null, getFieldMissingCount(searcher, docs, field));
    }

    return res;
  }
  @Test
  public void luceneNgramMetaCollectorTest() throws Exception {
    File tmpDir = folder.newFolder();

    CollectionReaderDescription reader =
        CollectionReaderFactory.createReaderDescription(
            TextReader.class,
            TextReader.PARAM_SOURCE_LOCATION,
            "src/test/resources/data/",
            TextReader.PARAM_LANGUAGE,
            "en",
            TextReader.PARAM_PATTERNS,
            "text*.txt");

    AnalysisEngineDescription segmenter =
        AnalysisEngineFactory.createEngineDescription(BreakIteratorSegmenter.class);

    AnalysisEngineDescription metaCollector =
        AnalysisEngineFactory.createEngineDescription(
            LuceneNGramMetaCollector.class, LuceneNGramDFE.PARAM_LUCENE_DIR, tmpDir);

    for (JCas jcas : new JCasIterable(reader, segmenter, metaCollector)) {
      //            System.out.println(jcas.getDocumentText().length());
    }

    int i = 0;
    IndexReader index;
    try {
      index = DirectoryReader.open(FSDirectory.open(tmpDir));
      Fields fields = MultiFields.getFields(index);
      if (fields != null) {
        Terms terms = fields.terms(LuceneNGramDFE.LUCENE_NGRAM_FIELD);
        if (terms != null) {
          TermsEnum termsEnum = terms.iterator(null);
          //                    Bits liveDocs = MultiFields.getLiveDocs(index);
          //                    DocsEnum docs = termsEnum.docs(liveDocs, null);
          //                    int docId;
          //                    while((docId = docs.nextDoc()) != DocsEnum.NO_MORE_DOCS) {
          //                        index.g
          //                    }
          BytesRef text = null;
          while ((text = termsEnum.next()) != null) {
            //                        System.out.println(text.utf8ToString() + " - " +
            // termsEnum.totalTermFreq());
            //                        System.out.println(termsEnum.docFreq());

            if (text.utf8ToString().equals("this")) {
              assertEquals(2, termsEnum.docFreq());
              assertEquals(3, termsEnum.totalTermFreq());
            }

            i++;
          }
        }
      }
    } catch (Exception e) {
      throw new ResourceInitializationException(e);
    }

    assertEquals(35, i);
  }
  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, 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();
    xBuilder.startObject();
    response.toXContent(xBuilder, ToXContent.EMPTY_PARAMS);
    xBuilder.endObject();
    BytesStream bytesStream = xBuilder.bytesStream();
    String utf8 = bytesStream.bytes().toUtf8().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));
  }
 /** checks term-level statistics */
 public void assertTermStats(TermsEnum leftTermsEnum, TermsEnum rightTermsEnum) throws Exception {
   assertEquals(leftTermsEnum.docFreq(), rightTermsEnum.docFreq());
   if (leftTermsEnum.totalTermFreq() != -1 && rightTermsEnum.totalTermFreq() != -1) {
     assertEquals(leftTermsEnum.totalTermFreq(), rightTermsEnum.totalTermFreq());
   }
 }
  /**
   * checks the terms enum sequentially if deep is false, it does a 'shallow' test that doesnt go
   * down to the docsenums
   */
  public void assertTermsEnum(TermsEnum leftTermsEnum, TermsEnum rightTermsEnum, boolean deep)
      throws Exception {
    BytesRef term;
    Bits randomBits = new RandomBits(MAXDOC, random().nextDouble(), random());
    DocsAndPositionsEnum leftPositions = null;
    DocsAndPositionsEnum rightPositions = null;
    DocsEnum leftDocs = null;
    DocsEnum rightDocs = null;

    while ((term = leftTermsEnum.next()) != null) {
      assertEquals(term, rightTermsEnum.next());
      assertTermStats(leftTermsEnum, rightTermsEnum);
      if (deep) {
        // with payloads + off
        assertDocsAndPositionsEnum(
            leftPositions = leftTermsEnum.docsAndPositions(null, leftPositions),
            rightPositions = rightTermsEnum.docsAndPositions(null, rightPositions));
        assertDocsAndPositionsEnum(
            leftPositions = leftTermsEnum.docsAndPositions(randomBits, leftPositions),
            rightPositions = rightTermsEnum.docsAndPositions(randomBits, rightPositions));

        assertPositionsSkipping(
            leftTermsEnum.docFreq(),
            leftPositions = leftTermsEnum.docsAndPositions(null, leftPositions),
            rightPositions = rightTermsEnum.docsAndPositions(null, rightPositions));
        assertPositionsSkipping(
            leftTermsEnum.docFreq(),
            leftPositions = leftTermsEnum.docsAndPositions(randomBits, leftPositions),
            rightPositions = rightTermsEnum.docsAndPositions(randomBits, rightPositions));
        // with payloads only
        assertDocsAndPositionsEnum(
            leftPositions =
                leftTermsEnum.docsAndPositions(
                    null, leftPositions, DocsAndPositionsEnum.FLAG_PAYLOADS),
            rightPositions =
                rightTermsEnum.docsAndPositions(
                    null, rightPositions, DocsAndPositionsEnum.FLAG_PAYLOADS));
        assertDocsAndPositionsEnum(
            leftPositions =
                leftTermsEnum.docsAndPositions(
                    randomBits, leftPositions, DocsAndPositionsEnum.FLAG_PAYLOADS),
            rightPositions =
                rightTermsEnum.docsAndPositions(
                    randomBits, rightPositions, DocsAndPositionsEnum.FLAG_PAYLOADS));

        assertPositionsSkipping(
            leftTermsEnum.docFreq(),
            leftPositions =
                leftTermsEnum.docsAndPositions(
                    null, leftPositions, DocsAndPositionsEnum.FLAG_PAYLOADS),
            rightPositions =
                rightTermsEnum.docsAndPositions(
                    null, rightPositions, DocsAndPositionsEnum.FLAG_PAYLOADS));
        assertPositionsSkipping(
            leftTermsEnum.docFreq(),
            leftPositions =
                leftTermsEnum.docsAndPositions(
                    randomBits, leftPositions, DocsAndPositionsEnum.FLAG_PAYLOADS),
            rightPositions =
                rightTermsEnum.docsAndPositions(
                    randomBits, rightPositions, DocsAndPositionsEnum.FLAG_PAYLOADS));

        // with offsets only
        assertDocsAndPositionsEnum(
            leftPositions =
                leftTermsEnum.docsAndPositions(
                    null, leftPositions, DocsAndPositionsEnum.FLAG_OFFSETS),
            rightPositions =
                rightTermsEnum.docsAndPositions(
                    null, rightPositions, DocsAndPositionsEnum.FLAG_OFFSETS));
        assertDocsAndPositionsEnum(
            leftPositions =
                leftTermsEnum.docsAndPositions(
                    randomBits, leftPositions, DocsAndPositionsEnum.FLAG_OFFSETS),
            rightPositions =
                rightTermsEnum.docsAndPositions(
                    randomBits, rightPositions, DocsAndPositionsEnum.FLAG_OFFSETS));

        assertPositionsSkipping(
            leftTermsEnum.docFreq(),
            leftPositions =
                leftTermsEnum.docsAndPositions(
                    null, leftPositions, DocsAndPositionsEnum.FLAG_OFFSETS),
            rightPositions =
                rightTermsEnum.docsAndPositions(
                    null, rightPositions, DocsAndPositionsEnum.FLAG_OFFSETS));
        assertPositionsSkipping(
            leftTermsEnum.docFreq(),
            leftPositions =
                leftTermsEnum.docsAndPositions(
                    randomBits, leftPositions, DocsAndPositionsEnum.FLAG_OFFSETS),
            rightPositions =
                rightTermsEnum.docsAndPositions(
                    randomBits, rightPositions, DocsAndPositionsEnum.FLAG_OFFSETS));

        // with positions only
        assertDocsAndPositionsEnum(
            leftPositions = leftTermsEnum.docsAndPositions(null, leftPositions, DocsEnum.FLAG_NONE),
            rightPositions =
                rightTermsEnum.docsAndPositions(null, rightPositions, DocsEnum.FLAG_NONE));
        assertDocsAndPositionsEnum(
            leftPositions =
                leftTermsEnum.docsAndPositions(randomBits, leftPositions, DocsEnum.FLAG_NONE),
            rightPositions =
                rightTermsEnum.docsAndPositions(randomBits, rightPositions, DocsEnum.FLAG_NONE));

        assertPositionsSkipping(
            leftTermsEnum.docFreq(),
            leftPositions = leftTermsEnum.docsAndPositions(null, leftPositions, DocsEnum.FLAG_NONE),
            rightPositions =
                rightTermsEnum.docsAndPositions(null, rightPositions, DocsEnum.FLAG_NONE));
        assertPositionsSkipping(
            leftTermsEnum.docFreq(),
            leftPositions =
                leftTermsEnum.docsAndPositions(randomBits, leftPositions, DocsEnum.FLAG_NONE),
            rightPositions =
                rightTermsEnum.docsAndPositions(randomBits, rightPositions, DocsEnum.FLAG_NONE));

        // with freqs:
        assertDocsEnum(
            leftDocs = leftTermsEnum.docs(null, leftDocs),
            rightDocs = rightTermsEnum.docs(null, rightDocs));
        assertDocsEnum(
            leftDocs = leftTermsEnum.docs(randomBits, leftDocs),
            rightDocs = rightTermsEnum.docs(randomBits, rightDocs));

        // w/o freqs:
        assertDocsEnum(
            leftDocs = leftTermsEnum.docs(null, leftDocs, DocsEnum.FLAG_NONE),
            rightDocs = rightTermsEnum.docs(null, rightDocs, DocsEnum.FLAG_NONE));
        assertDocsEnum(
            leftDocs = leftTermsEnum.docs(randomBits, leftDocs, DocsEnum.FLAG_NONE),
            rightDocs = rightTermsEnum.docs(randomBits, rightDocs, DocsEnum.FLAG_NONE));

        // with freqs:
        assertDocsSkipping(
            leftTermsEnum.docFreq(),
            leftDocs = leftTermsEnum.docs(null, leftDocs),
            rightDocs = rightTermsEnum.docs(null, rightDocs));
        assertDocsSkipping(
            leftTermsEnum.docFreq(),
            leftDocs = leftTermsEnum.docs(randomBits, leftDocs),
            rightDocs = rightTermsEnum.docs(randomBits, rightDocs));

        // w/o freqs:
        assertDocsSkipping(
            leftTermsEnum.docFreq(),
            leftDocs = leftTermsEnum.docs(null, leftDocs, DocsEnum.FLAG_NONE),
            rightDocs = rightTermsEnum.docs(null, rightDocs, DocsEnum.FLAG_NONE));
        assertDocsSkipping(
            leftTermsEnum.docFreq(),
            leftDocs = leftTermsEnum.docs(randomBits, leftDocs, DocsEnum.FLAG_NONE),
            rightDocs = rightTermsEnum.docs(randomBits, rightDocs, DocsEnum.FLAG_NONE));
      }
    }
    assertNull(rightTermsEnum.next());
  }