org.apache.hadoop.hive.metastore.api.LongColumnStatsData Java Examples
The following examples show how to use
org.apache.hadoop.hive.metastore.api.LongColumnStatsData.
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Example #1
| Source File: TestThriftMetastoreUtil.java From presto with Apache License 2.0 | 6 votes |
|
@Test
public void testLongStatsToColumnStatistics()
{
LongColumnStatsData longColumnStatsData = new LongColumnStatsData();
longColumnStatsData.setLowValue(0);
longColumnStatsData.setHighValue(100);
longColumnStatsData.setNumNulls(1);
longColumnStatsData.setNumDVs(20);
ColumnStatisticsObj columnStatisticsObj = new ColumnStatisticsObj("my_col", BIGINT_TYPE_NAME, longStats(longColumnStatsData));
HiveColumnStatistics actual = fromMetastoreApiColumnStatistics(columnStatisticsObj, OptionalLong.of(1000));
assertEquals(actual.getIntegerStatistics(), Optional.of(new IntegerStatistics(OptionalLong.of(0), OptionalLong.of(100))));
assertEquals(actual.getDoubleStatistics(), Optional.empty());
assertEquals(actual.getDecimalStatistics(), Optional.empty());
assertEquals(actual.getDateStatistics(), Optional.empty());
assertEquals(actual.getBooleanStatistics(), Optional.empty());
assertEquals(actual.getMaxValueSizeInBytes(), OptionalLong.empty());
assertEquals(actual.getTotalSizeInBytes(), OptionalLong.empty());
assertEquals(actual.getNullsCount(), OptionalLong.of(1));
assertEquals(actual.getDistinctValuesCount(), OptionalLong.of(19));
}
Example #2
| Source File: TestThriftMetastoreUtil.java From presto with Apache License 2.0 | 6 votes |
|
@Test
public void testEmptyLongStatsToColumnStatistics()
{
LongColumnStatsData emptyLongColumnStatsData = new LongColumnStatsData();
ColumnStatisticsObj columnStatisticsObj = new ColumnStatisticsObj("my_col", BIGINT_TYPE_NAME, longStats(emptyLongColumnStatsData));
HiveColumnStatistics actual = fromMetastoreApiColumnStatistics(columnStatisticsObj, OptionalLong.empty());
assertEquals(actual.getIntegerStatistics(), Optional.of(new IntegerStatistics(OptionalLong.empty(), OptionalLong.empty())));
assertEquals(actual.getDoubleStatistics(), Optional.empty());
assertEquals(actual.getDecimalStatistics(), Optional.empty());
assertEquals(actual.getDateStatistics(), Optional.empty());
assertEquals(actual.getBooleanStatistics(), Optional.empty());
assertEquals(actual.getMaxValueSizeInBytes(), OptionalLong.empty());
assertEquals(actual.getTotalSizeInBytes(), OptionalLong.empty());
assertEquals(actual.getNullsCount(), OptionalLong.empty());
assertEquals(actual.getDistinctValuesCount(), OptionalLong.empty());
}
Example #3
| Source File: TestObjects.java From aws-glue-data-catalog-client-for-apache-hive-metastore with Apache License 2.0 | 5 votes |
|
public static org.apache.hadoop.hive.metastore.api.ColumnStatisticsData getHiveLongColumnStatsData() {
LongColumnStatsData statsData = new LongColumnStatsData();
statsData.setHighValue(9999L);
statsData.setLowValue(-1111L);
statsData.setNumDVs(123L);
statsData.setNumNulls(456L);
org.apache.hadoop.hive.metastore.api.ColumnStatisticsData statsWrapper =
new org.apache.hadoop.hive.metastore.api.ColumnStatisticsData();
statsWrapper.setLongStats(statsData);
return statsWrapper;
}
Example #4
| Source File: ThriftMetastoreUtil.java From presto with Apache License 2.0 | 5 votes |
|
private static ColumnStatisticsObj createLongStatistics(String columnName, HiveType columnType, HiveColumnStatistics statistics)
{
LongColumnStatsData data = new LongColumnStatsData();
statistics.getIntegerStatistics().ifPresent(integerStatistics -> {
integerStatistics.getMin().ifPresent(data::setLowValue);
integerStatistics.getMax().ifPresent(data::setHighValue);
});
statistics.getNullsCount().ifPresent(data::setNumNulls);
toMetastoreDistinctValuesCount(statistics.getDistinctValuesCount(), statistics.getNullsCount()).ifPresent(data::setNumDVs);
return new ColumnStatisticsObj(columnName, columnType.toString(), longStats(data));
}
Example #5
| Source File: MockThriftMetastoreClient.java From presto with Apache License 2.0 | 5 votes |
|
private static ColumnStatisticsObj createTestStats()
{
ColumnStatisticsObj stats = new ColumnStatisticsObj();
ColumnStatisticsData data = new ColumnStatisticsData();
data.setLongStats(new LongColumnStatsData());
stats.setStatsData(data);
stats.setColName(TEST_COLUMN);
return stats;
}
Example #6
| Source File: ReplicaTest.java From circus-train with Apache License 2.0 | 5 votes |
|
@Before
public void prepare() throws Exception {
when(metaStoreClientSupplier.get()).thenReturn(mockMetaStoreClient);
when(replicaCatalog.getName()).thenReturn(NAME);
hiveConf = new HiveConf();
hiveConf.setVar(ConfVars.METASTOREURIS, REPLICA_META_STORE_URIS);
replica = newReplica(tableReplication);
tableLocation = temporaryFolder.newFolder("table_location").toURI().toString();
sourceTable = newTable();
existingPartition = newPartition("one", "two");
ColumnStatisticsObj columnStatisticsObj1 = new ColumnStatisticsObj(COLUMN_A, "string",
new ColumnStatisticsData(_Fields.LONG_STATS, new LongColumnStatsData(0, 1)));
ColumnStatisticsObj columnStatisticsObj2 = new ColumnStatisticsObj(COLUMN_B, "string",
new ColumnStatisticsData(_Fields.LONG_STATS, new LongColumnStatsData(1, 2)));
columnStatisticsObjs = Arrays.asList(columnStatisticsObj1, columnStatisticsObj2);
ColumnStatisticsDesc statsDesc = new ColumnStatisticsDesc(true, DB_NAME, TABLE_NAME);
columnStatistics = new ColumnStatistics(statsDesc, columnStatisticsObjs);
tableAndStatistics = new TableAndStatistics(sourceTable, columnStatistics);
existingReplicaTable = new Table(sourceTable);
when(mockReplicaLocationManager.getTableLocation()).thenReturn(new Path(tableLocation));
when(mockReplicaLocationManager.getPartitionBaseLocation()).thenReturn(new Path(tableLocation));
when(mockMetaStoreClient.getTable(DB_NAME, TABLE_NAME)).thenReturn(existingReplicaTable);
}
Example #7
| Source File: ReplicaTest.java From circus-train with Apache License 2.0 | 5 votes |
|
private ColumnStatistics newPartitionStatistics(String... values) {
ColumnStatisticsObj columnStatisticsObj1 = new ColumnStatisticsObj(COLUMN_A, "string",
new ColumnStatisticsData(_Fields.LONG_STATS, new LongColumnStatsData(0, 1)));
ColumnStatisticsObj columnStatisticsObj2 = new ColumnStatisticsObj(COLUMN_B, "string",
new ColumnStatisticsData(_Fields.LONG_STATS, new LongColumnStatsData(1, 2)));
List<ColumnStatisticsObj> columnStatisticsObjs = Arrays.asList(columnStatisticsObj1, columnStatisticsObj2);
ColumnStatisticsDesc statsDesc = new ColumnStatisticsDesc(false, DB_NAME, TABLE_NAME);
statsDesc.setPartName(partitionName(values));
return new ColumnStatistics(statsDesc, columnStatisticsObjs);
}
Example #8
| Source File: TestUtils.java From circus-train with Apache License 2.0 | 5 votes |
|
public static Table createUnpartitionedTable(
HiveMetaStoreClient metaStoreClient,
String database,
String table,
URI location)
throws TException {
Table hiveTable = new Table();
hiveTable.setDbName(database);
hiveTable.setTableName(table);
hiveTable.setTableType(TableType.EXTERNAL_TABLE.name());
hiveTable.putToParameters("EXTERNAL", "TRUE");
StorageDescriptor sd = new StorageDescriptor();
sd.setCols(DATA_COLUMNS);
sd.setLocation(location.toString());
sd.setParameters(new HashMap<String, String>());
sd.setInputFormat(TextInputFormat.class.getName());
sd.setOutputFormat(TextOutputFormat.class.getName());
sd.setSerdeInfo(new SerDeInfo());
sd.getSerdeInfo().setSerializationLib("org.apache.hadoop.hive.serde2.OpenCSVSerde");
hiveTable.setSd(sd);
metaStoreClient.createTable(hiveTable);
ColumnStatisticsDesc statsDesc = new ColumnStatisticsDesc(true, database, table);
ColumnStatisticsData statsData = new ColumnStatisticsData(_Fields.LONG_STATS, new LongColumnStatsData(1L, 2L));
ColumnStatisticsObj cso1 = new ColumnStatisticsObj("id", "bigint", statsData);
List<ColumnStatisticsObj> statsObj = Collections.singletonList(cso1);
metaStoreClient.updateTableColumnStatistics(new ColumnStatistics(statsDesc, statsObj));
return hiveTable;
}
Example #9
| Source File: ColumnStatisticsTransformationTest.java From circus-train with Apache License 2.0 | 5 votes |
|
@Before
public void init() {
stats = new ColumnStatistics(new ColumnStatisticsDesc(true, "database", "table"),
ImmutableList.of(
new ColumnStatisticsObj("a", "int",
new ColumnStatisticsData(_Fields.LONG_STATS, new LongColumnStatsData(1L, 2L))),
new ColumnStatisticsObj("b", "string",
new ColumnStatisticsData(_Fields.STRING_STATS, new StringColumnStatsData(10L, 3L, 0L, 1L)))));
}
Example #10
| Source File: HiveStatsUtil.java From flink with Apache License 2.0 | 4 votes |
|
/**
* Create Flink ColumnStats from Hive ColumnStatisticsData.
*/
private static CatalogColumnStatisticsDataBase createTableColumnStats(DataType colType, ColumnStatisticsData stats) {
if (stats.isSetBinaryStats()) {
BinaryColumnStatsData binaryStats = stats.getBinaryStats();
return new CatalogColumnStatisticsDataBinary(
binaryStats.getMaxColLen(),
binaryStats.getAvgColLen(),
binaryStats.getNumNulls());
} else if (stats.isSetBooleanStats()) {
BooleanColumnStatsData booleanStats = stats.getBooleanStats();
return new CatalogColumnStatisticsDataBoolean(
booleanStats.getNumTrues(),
booleanStats.getNumFalses(),
booleanStats.getNumNulls());
} else if (stats.isSetDateStats()) {
DateColumnStatsData dateStats = stats.getDateStats();
return new CatalogColumnStatisticsDataDate(
new org.apache.flink.table.catalog.stats.Date(dateStats.getLowValue().getDaysSinceEpoch()),
new org.apache.flink.table.catalog.stats.Date(dateStats.getHighValue().getDaysSinceEpoch()),
dateStats.getNumDVs(),
dateStats.getNumNulls());
} else if (stats.isSetDoubleStats()) {
DoubleColumnStatsData doubleStats = stats.getDoubleStats();
return new CatalogColumnStatisticsDataDouble(
doubleStats.getLowValue(),
doubleStats.getHighValue(),
doubleStats.getNumDVs(),
doubleStats.getNumNulls());
} else if (stats.isSetLongStats()) {
LongColumnStatsData longColStats = stats.getLongStats();
return new CatalogColumnStatisticsDataLong(
longColStats.getLowValue(),
longColStats.getHighValue(),
longColStats.getNumDVs(),
longColStats.getNumNulls());
} else if (stats.isSetStringStats()) {
StringColumnStatsData stringStats = stats.getStringStats();
return new CatalogColumnStatisticsDataString(
stringStats.getMaxColLen(),
stringStats.getAvgColLen(),
stringStats.getNumDVs(),
stringStats.getNumNulls());
} else {
LOG.warn("Flink does not support converting ColumnStatisticsData '{}' for Hive column type '{}' yet.", stats, colType);
return null;
}
}
Example #11
| Source File: HiveStatsUtil.java From flink with Apache License 2.0 | 4 votes |
|
/**
* Convert Flink ColumnStats to Hive ColumnStatisticsData according to Hive column type.
* Note we currently assume that, in Flink, the max and min of ColumnStats will be same type as the Flink column type.
* For example, for SHORT and Long columns, the max and min of their ColumnStats should be of type SHORT and LONG.
*/
private static ColumnStatisticsData getColumnStatisticsData(DataType colType, CatalogColumnStatisticsDataBase colStat) {
LogicalTypeRoot type = colType.getLogicalType().getTypeRoot();
if (type.equals(LogicalTypeRoot.CHAR)
|| type.equals(LogicalTypeRoot.VARCHAR)) {
if (colStat instanceof CatalogColumnStatisticsDataString) {
CatalogColumnStatisticsDataString stringColStat = (CatalogColumnStatisticsDataString) colStat;
return ColumnStatisticsData.stringStats(new StringColumnStatsData(stringColStat.getMaxLength(), stringColStat.getAvgLength(), stringColStat.getNullCount(), stringColStat.getNdv()));
}
} else if (type.equals(LogicalTypeRoot.BOOLEAN)) {
if (colStat instanceof CatalogColumnStatisticsDataBoolean) {
CatalogColumnStatisticsDataBoolean booleanColStat = (CatalogColumnStatisticsDataBoolean) colStat;
BooleanColumnStatsData boolStats = new BooleanColumnStatsData(
booleanColStat.getTrueCount(),
booleanColStat.getFalseCount(),
booleanColStat.getNullCount());
return ColumnStatisticsData.booleanStats(boolStats);
}
} else if (type.equals(LogicalTypeRoot.TINYINT)
|| type.equals(LogicalTypeRoot.SMALLINT)
|| type.equals(LogicalTypeRoot.INTEGER)
|| type.equals(LogicalTypeRoot.BIGINT)
|| type.equals(LogicalTypeRoot.TIMESTAMP_WITH_LOCAL_TIME_ZONE)
|| type.equals(LogicalTypeRoot.TIME_WITHOUT_TIME_ZONE)
|| type.equals(LogicalTypeRoot.TIMESTAMP_WITH_TIME_ZONE)) {
if (colStat instanceof CatalogColumnStatisticsDataLong) {
CatalogColumnStatisticsDataLong longColStat = (CatalogColumnStatisticsDataLong) colStat;
LongColumnStatsData longColumnStatsData = new LongColumnStatsData(longColStat.getNullCount(), longColStat.getNdv());
longColumnStatsData.setHighValue(longColStat.getMax());
longColumnStatsData.setLowValue(longColStat.getMin());
return ColumnStatisticsData.longStats(longColumnStatsData);
}
} else if (type.equals(LogicalTypeRoot.FLOAT)
|| type.equals(LogicalTypeRoot.DOUBLE)) {
if (colStat instanceof CatalogColumnStatisticsDataDouble) {
CatalogColumnStatisticsDataDouble doubleColumnStatsData = (CatalogColumnStatisticsDataDouble) colStat;
DoubleColumnStatsData floatStats = new DoubleColumnStatsData(doubleColumnStatsData.getNullCount(), doubleColumnStatsData.getNdv());
floatStats.setHighValue(doubleColumnStatsData.getMax());
floatStats.setLowValue(doubleColumnStatsData.getMin());
return ColumnStatisticsData.doubleStats(floatStats);
}
} else if (type.equals(LogicalTypeRoot.DATE)) {
if (colStat instanceof CatalogColumnStatisticsDataDate) {
CatalogColumnStatisticsDataDate dateColumnStatsData = (CatalogColumnStatisticsDataDate) colStat;
DateColumnStatsData dateStats = new DateColumnStatsData(dateColumnStatsData.getNullCount(), dateColumnStatsData.getNdv());
dateStats.setHighValue(new org.apache.hadoop.hive.metastore.api.Date(dateColumnStatsData.getMax().getDaysSinceEpoch()));
dateStats.setLowValue(new org.apache.hadoop.hive.metastore.api.Date(dateColumnStatsData.getMin().getDaysSinceEpoch()));
return ColumnStatisticsData.dateStats(dateStats);
}
} else if (type.equals(LogicalTypeRoot.VARBINARY)
|| type.equals(LogicalTypeRoot.BINARY)
|| type.equals(LogicalTypeRoot.BINARY)) {
if (colStat instanceof CatalogColumnStatisticsDataBinary) {
CatalogColumnStatisticsDataBinary binaryColumnStatsData = (CatalogColumnStatisticsDataBinary) colStat;
BinaryColumnStatsData binaryColumnStats = new BinaryColumnStatsData(binaryColumnStatsData.getMaxLength(), binaryColumnStatsData.getAvgLength(), binaryColumnStatsData.getNullCount());
return ColumnStatisticsData.binaryStats(binaryColumnStats);
}
}
throw new CatalogException(String.format("Flink does not support converting ColumnStats '%s' for Hive column " +
"type '%s' yet", colStat, colType));
}
Example #12
| Source File: TestUtils.java From circus-train with Apache License 2.0 | 4 votes |
|
public static Table createPartitionedTable(
HiveMetaStoreClient metaStoreClient,
String database,
String table,
URI location,
List<FieldSchema> columns,
List<FieldSchema> partitionKeys,
String serializationLib,
String inputFormatClassName,
String outputFormatClassName)
throws Exception {
Table hiveTable = new Table();
hiveTable.setDbName(database);
hiveTable.setTableName(table);
hiveTable.setTableType(TableType.EXTERNAL_TABLE.name());
hiveTable.putToParameters("EXTERNAL", "TRUE");
hiveTable.setPartitionKeys(partitionKeys);
StorageDescriptor sd = new StorageDescriptor();
sd.setCols(columns);
sd.setLocation(location.toString());
sd.setParameters(new HashMap<String, String>());
sd.setInputFormat(inputFormatClassName);
sd.setOutputFormat(outputFormatClassName);
sd.setSerdeInfo(new SerDeInfo());
sd.getSerdeInfo().setSerializationLib(serializationLib);
hiveTable.setSd(sd);
metaStoreClient.createTable(hiveTable);
ColumnStatisticsDesc statsDesc = new ColumnStatisticsDesc(true, database, table);
ColumnStatisticsData statsData = new ColumnStatisticsData(_Fields.LONG_STATS, new LongColumnStatsData(1L, 2L));
ColumnStatisticsObj cso1 = new ColumnStatisticsObj("id", "bigint", statsData);
List<ColumnStatisticsObj> statsObj = Collections.singletonList(cso1);
metaStoreClient.updateTableColumnStatistics(new ColumnStatistics(statsDesc, statsObj));
return hiveTable;
}
Example #13
| Source File: HiveStatsUtil.java From flink with Apache License 2.0 | 4 votes |
|
/**
* Create Flink ColumnStats from Hive ColumnStatisticsData.
*/
private static CatalogColumnStatisticsDataBase createTableColumnStats(DataType colType, ColumnStatisticsData stats, String hiveVersion) {
HiveShim hiveShim = HiveShimLoader.loadHiveShim(hiveVersion);
if (stats.isSetBinaryStats()) {
BinaryColumnStatsData binaryStats = stats.getBinaryStats();
return new CatalogColumnStatisticsDataBinary(
binaryStats.isSetMaxColLen() ? binaryStats.getMaxColLen() : null,
binaryStats.isSetAvgColLen() ? binaryStats.getAvgColLen() : null,
binaryStats.isSetNumNulls() ? binaryStats.getNumNulls() : null);
} else if (stats.isSetBooleanStats()) {
BooleanColumnStatsData booleanStats = stats.getBooleanStats();
return new CatalogColumnStatisticsDataBoolean(
booleanStats.isSetNumTrues() ? booleanStats.getNumTrues() : null,
booleanStats.isSetNumFalses() ? booleanStats.getNumFalses() : null,
booleanStats.isSetNumNulls() ? booleanStats.getNumNulls() : null);
} else if (hiveShim.isDateStats(stats)) {
return hiveShim.toFlinkDateColStats(stats);
} else if (stats.isSetDoubleStats()) {
DoubleColumnStatsData doubleStats = stats.getDoubleStats();
return new CatalogColumnStatisticsDataDouble(
doubleStats.isSetLowValue() ? doubleStats.getLowValue() : null,
doubleStats.isSetHighValue() ? doubleStats.getHighValue() : null,
doubleStats.isSetNumDVs() ? doubleStats.getNumDVs() : null,
doubleStats.isSetNumNulls() ? doubleStats.getNumNulls() : null);
} else if (stats.isSetLongStats()) {
LongColumnStatsData longColStats = stats.getLongStats();
return new CatalogColumnStatisticsDataLong(
longColStats.isSetLowValue() ? longColStats.getLowValue() : null,
longColStats.isSetHighValue() ? longColStats.getHighValue() : null,
longColStats.isSetNumDVs() ? longColStats.getNumDVs() : null,
longColStats.isSetNumNulls() ? longColStats.getNumNulls() : null);
} else if (stats.isSetStringStats()) {
StringColumnStatsData stringStats = stats.getStringStats();
return new CatalogColumnStatisticsDataString(
stringStats.isSetMaxColLen() ? stringStats.getMaxColLen() : null,
stringStats.isSetAvgColLen() ? stringStats.getAvgColLen() : null,
stringStats.isSetNumDVs() ? stringStats.getNumDVs() : null,
stringStats.isSetNumDVs() ? stringStats.getNumNulls() : null);
} else if (stats.isSetDecimalStats()) {
DecimalColumnStatsData decimalStats = stats.getDecimalStats();
// for now, just return CatalogColumnStatisticsDataDouble for decimal columns
Double max = null;
if (decimalStats.isSetHighValue()) {
max = toHiveDecimal(decimalStats.getHighValue()).doubleValue();
}
Double min = null;
if (decimalStats.isSetLowValue()) {
min = toHiveDecimal(decimalStats.getLowValue()).doubleValue();
}
Long ndv = decimalStats.isSetNumDVs() ? decimalStats.getNumDVs() : null;
Long nullCount = decimalStats.isSetNumNulls() ? decimalStats.getNumNulls() : null;
return new CatalogColumnStatisticsDataDouble(min, max, ndv, nullCount);
} else {
LOG.warn("Flink does not support converting ColumnStatisticsData '{}' for Hive column type '{}' yet.", stats, colType);
return null;
}
}
