use of com.facebook.presto.spi.predicate.TupleDomain in project presto by prestodb.
the class TestOrcBloomFilters method testMatches.
@Test
public // simulate query on a 2 columns where 1 is used as part of the where, with and without bloom filter
void testMatches() throws Exception {
// stripe column
Domain testingColumnHandleDomain = Domain.singleValue(BIGINT, 1234L);
TupleDomain.ColumnDomain<String> column0 = new TupleDomain.ColumnDomain<>(COLUMN_0, testingColumnHandleDomain);
// predicate consist of the bigint_0 = 1234
TupleDomain<String> effectivePredicate = TupleDomain.fromColumnDomains(Optional.of(ImmutableList.of(column0)));
TupleDomain<String> emptyEffectivePredicate = TupleDomain.all();
// predicate column references
List<ColumnReference<String>> columnReferences = ImmutableList.<ColumnReference<String>>builder().add(new ColumnReference<>(COLUMN_0, 0, BIGINT)).add(new ColumnReference<>(COLUMN_1, 1, BIGINT)).build();
TupleDomainOrcPredicate<String> predicate = new TupleDomainOrcPredicate<>(effectivePredicate, columnReferences, true);
TupleDomainOrcPredicate<String> emptyPredicate = new TupleDomainOrcPredicate<>(emptyEffectivePredicate, columnReferences, true);
// assemble a matching and a non-matching bloom filter
HiveBloomFilter hiveBloomFilter = new HiveBloomFilter(new BloomFilter(1000, 0.01));
OrcProto.BloomFilter emptyOrcBloomFilter = toOrcBloomFilter(hiveBloomFilter);
hiveBloomFilter.addLong(1234);
OrcProto.BloomFilter orcBloomFilter = toOrcBloomFilter(hiveBloomFilter);
Map<Integer, ColumnStatistics> matchingStatisticsByColumnIndex = ImmutableMap.of(0, new ColumnStatistics(null, null, new IntegerStatistics(10L, 2000L), null, null, null, null, toHiveBloomFilter(orcBloomFilter)));
Map<Integer, ColumnStatistics> nonMatchingStatisticsByColumnIndex = ImmutableMap.of(0, new ColumnStatistics(null, null, new IntegerStatistics(10L, 2000L), null, null, null, null, toHiveBloomFilter(emptyOrcBloomFilter)));
Map<Integer, ColumnStatistics> withoutBloomFilterStatisticsByColumnIndex = ImmutableMap.of(0, new ColumnStatistics(null, null, new IntegerStatistics(10L, 2000L), null, null, null, null, null));
assertTrue(predicate.matches(1L, matchingStatisticsByColumnIndex));
assertTrue(predicate.matches(1L, withoutBloomFilterStatisticsByColumnIndex));
assertFalse(predicate.matches(1L, nonMatchingStatisticsByColumnIndex));
assertTrue(emptyPredicate.matches(1L, matchingStatisticsByColumnIndex));
}
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