コード例 #1
0
  @Test
  public void testRandomGrouping() throws Exception {
    try {
      int indexIter = 50 * RANDOM_MULTIPLIER; // make >0 to enable test
      int queryIter = 100 * RANDOM_MULTIPLIER;

      while (--indexIter >= 0) {

        int indexSize = random.nextInt(25 * RANDOM_MULTIPLIER);
        List<FldType> types = new ArrayList<FldType>();
        types.add(new FldType("id", ONE_ONE, new SVal('A', 'Z', 4, 4)));
        types.add(
            new FldType("score_s1", ONE_ONE, new SVal('a', 'c', 1, 1))); // field used to score
        types.add(new FldType("bar_s1", ONE_ONE, new SVal('a', 'z', 3, 5)));
        types.add(new FldType(FOO_STRING_FIELD, ONE_ONE, new SVal('a', 'z', 1, 2)));
        types.add(
            new FldType(
                SMALL_STRING_FIELD, ZERO_ONE, new SVal('a', (char) ('c' + indexSize / 10), 1, 1)));

        clearIndex();
        Map<Comparable, Doc> model = indexDocs(types, null, indexSize);

        // test with specific docs
        if (false) {
          clearIndex();
          model.clear();
          Doc d1 = createDoc(types);
          d1.getValues(SMALL_STRING_FIELD).set(0, "c");
          d1.getValues(SMALL_INT_FIELD).set(0, 5);
          d1.order = 0;
          updateJ(toJSON(d1), params("commit", "true"));
          model.put(d1.id, d1);

          d1 = createDoc(types);
          d1.getValues(SMALL_STRING_FIELD).set(0, "b");
          d1.getValues(SMALL_INT_FIELD).set(0, 5);
          d1.order = 1;
          updateJ(toJSON(d1), params("commit", "false"));
          model.put(d1.id, d1);

          d1 = createDoc(types);
          d1.getValues(SMALL_STRING_FIELD).set(0, "c");
          d1.getValues(SMALL_INT_FIELD).set(0, 5);
          d1.order = 2;
          updateJ(toJSON(d1), params("commit", "false"));
          model.put(d1.id, d1);

          d1 = createDoc(types);
          d1.getValues(SMALL_STRING_FIELD).set(0, "c");
          d1.getValues(SMALL_INT_FIELD).set(0, 5);
          d1.order = 3;
          updateJ(toJSON(d1), params("commit", "false"));
          model.put(d1.id, d1);

          d1 = createDoc(types);
          d1.getValues(SMALL_STRING_FIELD).set(0, "b");
          d1.getValues(SMALL_INT_FIELD).set(0, 2);
          d1.order = 4;
          updateJ(toJSON(d1), params("commit", "true"));
          model.put(d1.id, d1);
        }

        for (int qiter = 0; qiter < queryIter; qiter++) {
          String groupField = types.get(random.nextInt(types.size())).fname;

          int rows =
              random.nextInt(10) == 0 ? random.nextInt(model.size() + 2) : random.nextInt(11) - 1;
          int start =
              random.nextInt(5) == 0
                  ? random.nextInt(model.size() + 2)
                  : random.nextInt(5); // pick a small start normally for better coverage
          int group_limit =
              random.nextInt(10) == 0 ? random.nextInt(model.size() + 2) : random.nextInt(11) - 1;
          int group_offset =
              random.nextInt(10) == 0
                  ? random.nextInt(model.size() + 2)
                  : random.nextInt(2); // pick a small start normally for better coverage

          String[] stringSortA = new String[1];
          Comparator<Doc> sortComparator = createSort(h.getCore().getSchema(), types, stringSortA);
          String sortStr = stringSortA[0];
          Comparator<Doc> groupComparator =
              random.nextBoolean()
                  ? sortComparator
                  : createSort(h.getCore().getSchema(), types, stringSortA);
          String groupSortStr = stringSortA[0];

          // since groupSortStr defaults to sortStr, we need to normalize null to "score desc" if
          // sortStr != null.
          if (groupSortStr == null && groupSortStr != sortStr) {
            groupSortStr = "score desc";
          }

          // Test specific case
          if (false) {
            groupField = SMALL_INT_FIELD;
            sortComparator =
                createComparator(
                    Arrays.asList(createComparator(SMALL_STRING_FIELD, true, true, false, true)));
            sortStr = SMALL_STRING_FIELD + " asc";
            groupComparator =
                createComparator(
                    Arrays.asList(createComparator(SMALL_STRING_FIELD, true, true, false, false)));
            groupSortStr = SMALL_STRING_FIELD + " asc";
            rows = 1;
            start = 0;
            group_offset = 1;
            group_limit = 1;
          }

          Map<Comparable, Grp> groups = groupBy(model.values(), groupField);

          // first sort the docs in each group
          for (Grp grp : groups.values()) {
            Collections.sort(grp.docs, groupComparator);
          }

          // now sort the groups

          // if sort != group.sort, we need to find the max doc by "sort"
          if (groupComparator != sortComparator) {
            for (Grp grp : groups.values()) grp.setMaxDoc(sortComparator);
          }

          List<Grp> sortedGroups = new ArrayList<Grp>(groups.values());
          Collections.sort(
              sortedGroups,
              groupComparator == sortComparator
                  ? createFirstDocComparator(sortComparator)
                  : createMaxDocComparator(sortComparator));

          boolean includeNGroups = random.nextBoolean();
          Object modelResponse =
              buildGroupedResult(
                  h.getCore().getSchema(),
                  sortedGroups,
                  start,
                  rows,
                  group_offset,
                  group_limit,
                  includeNGroups);

          boolean truncateGroups = random.nextBoolean();
          Map<String, Integer> facetCounts = new TreeMap<String, Integer>();
          if (truncateGroups) {
            for (Grp grp : sortedGroups) {
              Doc doc = grp.docs.get(0);
              if (doc.getValues(FOO_STRING_FIELD) == null) {
                continue;
              }

              String key = doc.getFirstValue(FOO_STRING_FIELD).toString();
              boolean exists = facetCounts.containsKey(key);
              int count = exists ? facetCounts.get(key) : 0;
              facetCounts.put(key, ++count);
            }
          } else {
            for (Doc doc : model.values()) {
              if (doc.getValues(FOO_STRING_FIELD) == null) {
                continue;
              }

              for (Comparable field : doc.getValues(FOO_STRING_FIELD)) {
                String key = field.toString();
                boolean exists = facetCounts.containsKey(key);
                int count = exists ? facetCounts.get(key) : 0;
                facetCounts.put(key, ++count);
              }
            }
          }
          List<Comparable> expectedFacetResponse = new ArrayList<Comparable>();
          for (Map.Entry<String, Integer> stringIntegerEntry : facetCounts.entrySet()) {
            expectedFacetResponse.add(stringIntegerEntry.getKey());
            expectedFacetResponse.add(stringIntegerEntry.getValue());
          }

          int randomPercentage = random.nextInt(101);
          // TODO: create a random filter too
          SolrQueryRequest req =
              req(
                  "group",
                  "true",
                  "wt",
                  "json",
                  "indent",
                  "true",
                  "echoParams",
                  "all",
                  "q",
                  "{!func}score_f",
                  "group.field",
                  groupField,
                  sortStr == null ? "nosort" : "sort",
                  sortStr == null ? "" : sortStr,
                  (groupSortStr == null || groupSortStr == sortStr) ? "noGroupsort" : "group.sort",
                  groupSortStr == null ? "" : groupSortStr,
                  "rows",
                  "" + rows,
                  "start",
                  "" + start,
                  "group.offset",
                  "" + group_offset,
                  "group.limit",
                  "" + group_limit,
                  GroupParams.GROUP_CACHE_PERCENTAGE,
                  Integer.toString(randomPercentage),
                  GroupParams.GROUP_TOTAL_COUNT,
                  includeNGroups ? "true" : "false",
                  "facet",
                  "true",
                  "facet.sort",
                  "index",
                  "facet.limit",
                  "-1",
                  "facet.field",
                  FOO_STRING_FIELD,
                  GroupParams.GROUP_TRUNCATE,
                  truncateGroups ? "true" : "false",
                  "facet.mincount",
                  "1");

          String strResponse = h.query(req);

          Object realResponse = ObjectBuilder.fromJSON(strResponse);
          String err = JSONTestUtil.matchObj("/grouped/" + groupField, realResponse, modelResponse);
          if (err != null) {
            log.error(
                "GROUPING MISMATCH: "
                    + err
                    + "\n\trequest="
                    + req
                    + "\n\tresult="
                    + strResponse
                    + "\n\texpected="
                    + JSONUtil.toJSON(modelResponse)
                    + "\n\tsorted_model="
                    + sortedGroups);

            // re-execute the request... good for putting a breakpoint here for debugging
            String rsp = h.query(req);

            fail(err);
          }

          // assert post / pre grouping facets
          err =
              JSONTestUtil.matchObj(
                  "/facet_counts/facet_fields/" + FOO_STRING_FIELD,
                  realResponse,
                  expectedFacetResponse);
          if (err != null) {
            log.error(
                "GROUPING MISMATCH: "
                    + err
                    + "\n\trequest="
                    + req
                    + "\n\tresult="
                    + strResponse
                    + "\n\texpected="
                    + JSONUtil.toJSON(expectedFacetResponse));

            // re-execute the request... good for putting a breakpoint here for debugging
            h.query(req);
            fail(err);
          }
        } // end query iter
      } // end index iter
    } finally {
      // B/c the facet.field is also used of grouping we have the purge the FC to avoid FC insanity
      FieldCache.DEFAULT.purgeAllCaches();
    }
  }
コード例 #2
0
ファイル: Slice.java プロジェクト: pkarmstr/NYBC
 @Override
 public String toString() {
   return name + ':' + JSONUtil.toJSON(propMap);
 }