use of io.trino.orc.metadata.statistics.StringStatistics in project trino by trinodb.
the class TestTupleDomainOrcPredicate method stringColumnStats.
private static ColumnStatistics stringColumnStats(Long numberOfValues, String minimum, String maximum) {
Slice minimumSlice = minimum == null ? null : utf8Slice(minimum);
Slice maximumSlice = maximum == null ? null : utf8Slice(maximum);
// sum and minAverageValueSizeInBytes are not used in this test; they could be arbitrary numbers
return new ColumnStatistics(numberOfValues, 10L, null, null, null, new StringStatistics(minimumSlice, maximumSlice, 100L), null, null, null, null, null);
}
use of io.trino.orc.metadata.statistics.StringStatistics in project trino by trinodb.
the class TestOrcMetadataReader method testToStringStatistics.
@Test
public void testToStringStatistics() {
// ORIGINAL version only produces stats at the row group level
assertNull(OrcMetadataReader.toStringStatistics(ORIGINAL, OrcProto.StringStatistics.newBuilder().setMinimum("ant").setMaximum("cat").setSum(44).build(), false));
// having only sum should work for current version
for (boolean isRowGroup : ImmutableList.of(true, false)) {
assertEquals(OrcMetadataReader.toStringStatistics(ORC_HIVE_8732, OrcProto.StringStatistics.newBuilder().setSum(45).build(), isRowGroup), new StringStatistics(null, null, 45));
}
// and the ORIGINAL version row group stats (but not rolled up stats)
assertEquals(OrcMetadataReader.toStringStatistics(ORIGINAL, OrcProto.StringStatistics.newBuilder().setSum(45).build(), true), new StringStatistics(null, null, 45));
// having only a min or max should work
assertEquals(OrcMetadataReader.toStringStatistics(ORC_HIVE_8732, OrcProto.StringStatistics.newBuilder().setMinimum("ant").build(), true), new StringStatistics(utf8Slice("ant"), null, 0));
assertEquals(OrcMetadataReader.toStringStatistics(ORC_HIVE_8732, OrcProto.StringStatistics.newBuilder().setMaximum("cat").build(), true), new StringStatistics(null, utf8Slice("cat"), 0));
// normal full stat
assertEquals(OrcMetadataReader.toStringStatistics(ORC_HIVE_8732, OrcProto.StringStatistics.newBuilder().setMinimum("ant").setMaximum("cat").setSum(79).build(), true), new StringStatistics(utf8Slice("ant"), utf8Slice("cat"), 79));
for (Slice prefix : ALL_UTF8_SEQUENCES) {
for (int testCodePoint : TEST_CODE_POINTS) {
Slice codePoint = codePointToUtf8(testCodePoint);
for (Slice suffix : ALL_UTF8_SEQUENCES) {
Slice testValue = concatSlice(prefix, codePoint, suffix);
testStringStatisticsTruncation(testValue, ORIGINAL);
testStringStatisticsTruncation(testValue, ORC_HIVE_8732);
}
}
}
}
use of io.trino.orc.metadata.statistics.StringStatistics in project trino by trinodb.
the class OrcMetadataReader method toStringStatistics.
static StringStatistics toStringStatistics(HiveWriterVersion hiveWriterVersion, OrcProto.StringStatistics stringStatistics, boolean isRowGroup) {
if (hiveWriterVersion == ORIGINAL && !isRowGroup) {
return null;
}
Slice maximum = stringStatistics.hasMaximum() ? maxStringTruncateToValidRange(byteStringToSlice(stringStatistics.getMaximumBytes()), hiveWriterVersion) : null;
Slice minimum = stringStatistics.hasMinimum() ? minStringTruncateToValidRange(byteStringToSlice(stringStatistics.getMinimumBytes()), hiveWriterVersion) : null;
long sum = stringStatistics.hasSum() ? stringStatistics.getSum() : 0;
return new StringStatistics(minimum, maximum, sum);
}
use of io.trino.orc.metadata.statistics.StringStatistics in project trino by trinodb.
the class OrcWriteValidation method validateColumnStatisticsEquivalent.
private static void validateColumnStatisticsEquivalent(OrcDataSourceId orcDataSourceId, String name, ColumnStatistics actualColumnStatistics, ColumnStatistics expectedColumnStatistics) throws OrcCorruptionException {
requireNonNull(name, "name is null");
requireNonNull(actualColumnStatistics, "actualColumnStatistics is null");
requireNonNull(expectedColumnStatistics, "expectedColumnStatistics is null");
if (actualColumnStatistics.getNumberOfValues() != expectedColumnStatistics.getNumberOfValues()) {
throw new OrcCorruptionException(orcDataSourceId, "Write validation failed: unexpected number of values in %s statistics", name);
}
if (!Objects.equals(actualColumnStatistics.getBooleanStatistics(), expectedColumnStatistics.getBooleanStatistics())) {
throw new OrcCorruptionException(orcDataSourceId, "Write validation failed: unexpected boolean counts in %s statistics", name);
}
if (!Objects.equals(actualColumnStatistics.getIntegerStatistics(), expectedColumnStatistics.getIntegerStatistics())) {
IntegerStatistics actualIntegerStatistics = actualColumnStatistics.getIntegerStatistics();
IntegerStatistics expectedIntegerStatistics = expectedColumnStatistics.getIntegerStatistics();
// Ignore the validation of sum if one of the two sums is null.
if (actualIntegerStatistics == null || expectedIntegerStatistics == null || !Objects.equals(actualIntegerStatistics.getMin(), expectedIntegerStatistics.getMin()) || !Objects.equals(actualIntegerStatistics.getMax(), expectedIntegerStatistics.getMax()) || (actualIntegerStatistics.getSum() != null && expectedIntegerStatistics.getSum() != null && !Objects.equals(actualIntegerStatistics.getSum(), expectedIntegerStatistics.getSum()))) {
throw new OrcCorruptionException(orcDataSourceId, "Write validation failed: unexpected integer range in %s statistics", name);
}
}
if (!Objects.equals(actualColumnStatistics.getDoubleStatistics(), expectedColumnStatistics.getDoubleStatistics())) {
throw new OrcCorruptionException(orcDataSourceId, "Write validation failed: unexpected double range in %s statistics", name);
}
StringStatistics expectedStringStatistics = expectedColumnStatistics.getStringStatistics();
if (expectedStringStatistics != null) {
expectedStringStatistics = new StringStatistics(minStringTruncateToValidRange(expectedStringStatistics.getMin(), HiveWriterVersion.ORC_HIVE_8732), maxStringTruncateToValidRange(expectedStringStatistics.getMax(), HiveWriterVersion.ORC_HIVE_8732), expectedStringStatistics.getSum());
}
StringStatistics actualStringStatistics = actualColumnStatistics.getStringStatistics();
if (!Objects.equals(actualColumnStatistics.getStringStatistics(), expectedStringStatistics) && expectedStringStatistics != null) {
// Merging row group stats can produce nulls given we have string stats limit.
if (actualStringStatistics == null || actualStringStatistics.getSum() != expectedStringStatistics.getSum() || (expectedStringStatistics.getMax() != null && !Objects.equals(actualStringStatistics.getMax(), expectedStringStatistics.getMax())) || (expectedStringStatistics.getMin() != null && !Objects.equals(actualStringStatistics.getMin(), expectedStringStatistics.getMin()))) {
throw new OrcCorruptionException(orcDataSourceId, "Write validation failed: unexpected string range in %s statistics", name);
}
}
if (!Objects.equals(actualColumnStatistics.getDateStatistics(), expectedColumnStatistics.getDateStatistics())) {
throw new OrcCorruptionException(orcDataSourceId, "Write validation failed: unexpected date range in %s statistics", name);
}
if (!Objects.equals(actualColumnStatistics.getDecimalStatistics(), expectedColumnStatistics.getDecimalStatistics())) {
throw new OrcCorruptionException(orcDataSourceId, "Write validation failed: unexpected decimal range in %s statistics", name);
}
if (!Objects.equals(actualColumnStatistics.getBloomFilter(), expectedColumnStatistics.getBloomFilter())) {
throw new OrcCorruptionException(orcDataSourceId, "Write validation failed: unexpected bloom filter in %s statistics", name);
}
}
use of io.trino.orc.metadata.statistics.StringStatistics in project trino by trinodb.
the class IcebergOrcFileWriter method toIcebergMinMax.
private static Optional<IcebergMinMax> toIcebergMinMax(ColumnStatistics orcColumnStats, org.apache.iceberg.types.Type icebergType, MetricsModes.MetricsMode metricsModes) {
BooleanStatistics booleanStatistics = orcColumnStats.getBooleanStatistics();
if (booleanStatistics != null) {
boolean hasTrueValues = booleanStatistics.getTrueValueCount() != 0;
boolean hasFalseValues = orcColumnStats.getNumberOfValues() != booleanStatistics.getTrueValueCount();
return Optional.of(new IcebergMinMax(icebergType, !hasFalseValues, hasTrueValues, metricsModes));
}
IntegerStatistics integerStatistics = orcColumnStats.getIntegerStatistics();
if (integerStatistics != null) {
Object min = integerStatistics.getMin();
Object max = integerStatistics.getMax();
if (min == null || max == null) {
return Optional.empty();
}
if (icebergType.typeId() == org.apache.iceberg.types.Type.TypeID.INTEGER) {
min = toIntExact((Long) min);
max = toIntExact((Long) max);
}
return Optional.of(new IcebergMinMax(icebergType, min, max, metricsModes));
}
DoubleStatistics doubleStatistics = orcColumnStats.getDoubleStatistics();
if (doubleStatistics != null) {
Object min = doubleStatistics.getMin();
Object max = doubleStatistics.getMax();
if (min == null || max == null) {
return Optional.empty();
}
if (icebergType.typeId() == org.apache.iceberg.types.Type.TypeID.FLOAT) {
min = ((Double) min).floatValue();
max = ((Double) max).floatValue();
}
return Optional.of(new IcebergMinMax(icebergType, min, max, metricsModes));
}
StringStatistics stringStatistics = orcColumnStats.getStringStatistics();
if (stringStatistics != null) {
Slice min = stringStatistics.getMin();
Slice max = stringStatistics.getMax();
if (min == null || max == null) {
return Optional.empty();
}
return Optional.of(new IcebergMinMax(icebergType, min.toStringUtf8(), max.toStringUtf8(), metricsModes));
}
DateStatistics dateStatistics = orcColumnStats.getDateStatistics();
if (dateStatistics != null) {
Integer min = dateStatistics.getMin();
Integer max = dateStatistics.getMax();
if (min == null || max == null) {
return Optional.empty();
}
return Optional.of(new IcebergMinMax(icebergType, min, max, metricsModes));
}
DecimalStatistics decimalStatistics = orcColumnStats.getDecimalStatistics();
if (decimalStatistics != null) {
BigDecimal min = decimalStatistics.getMin();
BigDecimal max = decimalStatistics.getMax();
if (min == null || max == null) {
return Optional.empty();
}
min = min.setScale(((Types.DecimalType) icebergType).scale());
max = max.setScale(((Types.DecimalType) icebergType).scale());
return Optional.of(new IcebergMinMax(icebergType, min, max, metricsModes));
}
TimestampStatistics timestampStatistics = orcColumnStats.getTimestampStatistics();
if (timestampStatistics != null) {
Long min = timestampStatistics.getMin();
Long max = timestampStatistics.getMax();
if (min == null || max == null) {
return Optional.empty();
}
// We are appending 999 microseconds to account for the fact that Trino ORC writer truncates timestamps.
return Optional.of(new IcebergMinMax(icebergType, min * MICROSECONDS_PER_MILLISECOND, (max * MICROSECONDS_PER_MILLISECOND) + (MICROSECONDS_PER_MILLISECOND - 1), metricsModes));
}
return Optional.empty();
}
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