Java Code Examples for org.apache.hadoop.hive.ql.udf.generic.GenericUDAFSum

The following examples show how to use org.apache.hadoop.hive.ql.udf.generic.GenericUDAFSum. These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source Project: flink   Source File: HiveGenericUDAFTest.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testUDAFSum() throws Exception {
	Object[] constantArgs = new Object[] {
		null
	};

	DataType[] argTypes = new DataType[] {
		DataTypes.DOUBLE()
	};

	HiveGenericUDAF udf = init(GenericUDAFSum.class, constantArgs, argTypes);

	GenericUDAFEvaluator.AggregationBuffer acc = udf.createAccumulator();

	udf.accumulate(acc, 0.5d);
	udf.accumulate(acc, 0.3d);
	udf.accumulate(acc, 5.3d);

	udf.merge(acc, Arrays.asList());

	assertEquals(6.1d, udf.getValue(acc));

	constantArgs = new Object[] {
		null
	};

	argTypes = new DataType[] {
		DataTypes.DECIMAL(5, 3)
	};

	udf = init(GenericUDAFSum.class, constantArgs, argTypes);

	acc = udf.createAccumulator();

	udf.accumulate(acc, BigDecimal.valueOf(10.111));
	udf.accumulate(acc, BigDecimal.valueOf(3.222));
	udf.accumulate(acc, BigDecimal.valueOf(5.333));

	udf.merge(acc, Arrays.asList());

	assertEquals(BigDecimal.valueOf(18.666), udf.getValue(acc));
}
 
Example 2
Source Project: flink   Source File: HiveCatalogUseBlinkITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testBlinkUdf() throws Exception {
	TableSchema schema = TableSchema.builder()
			.field("name", DataTypes.STRING())
			.field("age", DataTypes.INT())
			.build();

	FormatDescriptor format = new OldCsv()
			.field("name", Types.STRING())
			.field("age", Types.INT());

	CatalogTable source =
			new CatalogTableBuilder(
					new FileSystem().path(this.getClass().getResource("/csv/test.csv").getPath()),
					schema)
					.withFormat(format)
					.inAppendMode()
					.withComment("Comment.")
					.build();

	hiveCatalog.createTable(
			new ObjectPath(HiveCatalog.DEFAULT_DB, sourceTableName),
			source,
			false
	);

	hiveCatalog.createFunction(
			new ObjectPath(HiveCatalog.DEFAULT_DB, "myudf"),
			new CatalogFunctionImpl(TestHiveSimpleUDF.class.getCanonicalName()),
			false);
	hiveCatalog.createFunction(
			new ObjectPath(HiveCatalog.DEFAULT_DB, "mygenericudf"),
			new CatalogFunctionImpl(TestHiveGenericUDF.class.getCanonicalName()),
			false);
	hiveCatalog.createFunction(
			new ObjectPath(HiveCatalog.DEFAULT_DB, "myudtf"),
			new CatalogFunctionImpl(TestHiveUDTF.class.getCanonicalName()),
			false);
	hiveCatalog.createFunction(
			new ObjectPath(HiveCatalog.DEFAULT_DB, "myudaf"),
			new CatalogFunctionImpl(GenericUDAFSum.class.getCanonicalName()),
			false);

	testUdf(true);
	testUdf(false);
}
 
Example 3
Source Project: flink   Source File: HiveGenericUDAFTest.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testUDAFSum() throws Exception {
	Object[] constantArgs = new Object[] {
		null
	};

	DataType[] argTypes = new DataType[] {
		DataTypes.DOUBLE()
	};

	HiveGenericUDAF udf = init(GenericUDAFSum.class, constantArgs, argTypes);

	GenericUDAFEvaluator.AggregationBuffer acc = udf.createAccumulator();

	udf.accumulate(acc, 0.5d);
	udf.accumulate(acc, 0.3d);
	udf.accumulate(acc, 5.3d);

	udf.merge(acc, Arrays.asList());

	assertEquals(6.1d, udf.getValue(acc));

	constantArgs = new Object[] {
		null
	};

	argTypes = new DataType[] {
		DataTypes.DECIMAL(5, 3)
	};

	udf = init(GenericUDAFSum.class, constantArgs, argTypes);

	acc = udf.createAccumulator();

	udf.accumulate(acc, BigDecimal.valueOf(10.111));
	udf.accumulate(acc, BigDecimal.valueOf(3.222));
	udf.accumulate(acc, BigDecimal.valueOf(5.333));

	udf.merge(acc, Arrays.asList());

	assertEquals(BigDecimal.valueOf(18.666), udf.getValue(acc));
}