use of io.trino.spi.statistics.DoubleRange in project trino by trinodb.
the class TestMetastoreHiveStatisticsProvider method testGetTableStatisticsUnpartitioned.
@Test
public void testGetTableStatisticsUnpartitioned() {
PartitionStatistics statistics = PartitionStatistics.builder().setBasicStatistics(new HiveBasicStatistics(OptionalLong.empty(), OptionalLong.of(1000), OptionalLong.empty(), OptionalLong.empty())).setColumnStatistics(ImmutableMap.of(COLUMN, createIntegerColumnStatistics(OptionalLong.of(-100), OptionalLong.of(100), OptionalLong.of(500), OptionalLong.of(300)))).build();
MetastoreHiveStatisticsProvider statisticsProvider = new MetastoreHiveStatisticsProvider((session, table, hivePartitions) -> ImmutableMap.of(UNPARTITIONED_ID, statistics));
HiveColumnHandle columnHandle = createBaseColumn(COLUMN, 2, HIVE_LONG, BIGINT, REGULAR, Optional.empty());
TableStatistics expected = TableStatistics.builder().setRowCount(Estimate.of(1000)).setColumnStatistics(columnHandle, ColumnStatistics.builder().setRange(new DoubleRange(-100, 100)).setNullsFraction(Estimate.of(0.5)).setDistinctValuesCount(Estimate.of(300)).build()).build();
assertEquals(statisticsProvider.getTableStatistics(SESSION, TABLE, ImmutableMap.of(COLUMN, columnHandle), ImmutableMap.of(COLUMN, BIGINT), ImmutableList.of(new HivePartition(TABLE))), expected);
}
use of io.trino.spi.statistics.DoubleRange in project trino by trinodb.
the class TestTpcdsMetadataStatistics method testNullFraction.
@Test
public void testNullFraction() {
SchemaTableName schemaTableName = new SchemaTableName("sf1", Table.WEB_SITE.getName());
ConnectorTableHandle tableHandle = metadata.getTableHandle(session, schemaTableName);
TableStatistics tableStatistics = metadata.getTableStatistics(session, tableHandle, alwaysTrue());
Map<String, ColumnHandle> columnHandles = metadata.getColumnHandles(session, tableHandle);
// some null values
assertColumnStatistics(tableStatistics.getColumnStatistics().get(columnHandles.get(WebSiteColumn.WEB_REC_END_DATE.getName())), ColumnStatistics.builder().setNullsFraction(Estimate.of(0.5)).setDistinctValuesCount(Estimate.of(3)).setRange(new DoubleRange(10819L, 11549L)).build());
}
Aggregations