Package com.pearson.entech.elasticsearch.search.facet.approx.date.internal

Examples of com.pearson.entech.elasticsearch.search.facet.approx.date.internal.InternalDistinctFacet.entries()

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        putSync(newID(), 1, __days[6]);
        assertEquals(4, countAll());
        final SearchResponse response = getHistogram(__days[0], __days[7], "day", __userField);
        assertEquals(4, response.getHits().getTotalHits());
        final InternalDistinctFacet facet = response.getFacets().facet(__facetName);
        final List<DistinctTimePeriod<NullEntry>> facetList = facet.entries();
        // Expecting just one hit and one distinct hit per doc, for the username.
        assertEquals(4, facetList.size());
        assertEquals(__days[0], facetList.get(0).getTime());
        assertEquals(1, facetList.get(0).getTotalCount());
        assertEquals(1, facetList.get(0).getDistinctCount());
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        putSync(newID(), 1, __days[6]);
        assertEquals(4, countAll());
        final SearchResponse response = getHistogram(__days[0], __days[7], "day", __txtField);
        assertEquals(4, response.getHits().getTotalHits());
        final InternalDistinctFacet facet = response.getFacets().facet(__facetName);
        final List<DistinctTimePeriod<NullEntry>> facetList = facet.entries();
        // Expecting one hit for each token in the string "Document created [at] <TIMESTAMP>"
        // for each document, in this case these are unique per bucket too. The word "at"
        // is a stopword and is removed.
        assertEquals(4, facetList.size());
        assertEquals(__days[0], facetList.get(0).getTime());
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        putSync(newID(), 4, __days[6] + 20);
        assertEquals(8, countAll());
        final SearchResponse response = getHistogram(__days[0], __days[7], "day", __userField);
        assertEquals(8, response.getHits().getTotalHits());
        final InternalDistinctFacet facet = response.getFacets().facet(__facetName);
        final List<DistinctTimePeriod<NullEntry>> facetList = facet.entries();
        // Hits and distinct hits can now vary in intervals where the same user posted more
        // than once (i.e. day 0 here).
        assertEquals(4, facetList.size());
        assertEquals(__days[0], facetList.get(0).getTime());
        assertEquals(3, facetList.get(0).getTotalCount());
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        putSync(newID(), 4, __days[6] + 20);
        assertEquals(8, countAll());
        final SearchResponse response = getHistogram(__days[0], __days[7], "day", __txtField);
        assertEquals(8, response.getHits().getTotalHits());
        final InternalDistinctFacet facet = response.getFacets().facet(__facetName);
        final List<DistinctTimePeriod<NullEntry>> facetList = facet.entries();
        // Now things get a bit more complex as all the posts are identically worded apart
        // from the timestamp at the end. 3 tokens indexed per each instance of the field.
        assertEquals(4, facetList.size());
        assertEquals(__days[0], facetList.get(0).getTime());
        assertEquals(3 * 3, facetList.get(0).getTotalCount());
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            assertEquals(totalItems, countAll());

            System.out.println("Randomized testing: running facet");
            final SearchResponse response = getHistogram(__days[0], __days[7], "day", __userField, 1000);
            final InternalDistinctFacet facet1 = response.getFacets().facet(__facetName);
            final List<DistinctTimePeriod<NullEntry>> facetList1 = facet1.entries();
            assertEquals(7, facetList1.size());
            assertEquals(totalItems, facet1.getTotalCount());
            int tolerance = totalItems / 100;
            int totalDistinct = totalItems;
            assertTrue(String.format(
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                        abs(fuzzyUsers - exactUsers) <= tolerance);
            }

            final SearchResponse response2 = getHistogram(__days[0], __days[7], "day", __txtField, 1000);
            final InternalDistinctFacet facet2 = response2.getFacets().facet(__facetName);
            final List<DistinctTimePeriod<NullEntry>> facetList2 = facet2.entries();
            assertEquals(7, facetList2.size());
            assertEquals(3 * totalItems, facet2.getTotalCount());
            tolerance = totalItems / 100;
            totalDistinct = 2 + totalItems;
            assertTrue(String.format(
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