/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.flink.api.java.operator;
import java.util.ArrayList;
import java.util.List;
import org.junit.Assert;
import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
import org.apache.flink.api.java.tuple.Tuple5;
import org.apache.flink.api.java.typeutils.TupleTypeInfo;
import org.junit.Test;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
public class ProjectionOperatorTest {
// TUPLE DATA
private final List<Tuple5<Integer, Long, String, Long, Integer>> emptyTupleData =
new ArrayList<Tuple5<Integer, Long, String, Long, Integer>>();
private final TupleTypeInfo<Tuple5<Integer, Long, String, Long, Integer>> tupleTypeInfo = new
TupleTypeInfo<Tuple5<Integer, Long, String, Long, Integer>>(
BasicTypeInfo.INT_TYPE_INFO,
BasicTypeInfo.LONG_TYPE_INFO,
BasicTypeInfo.STRING_TYPE_INFO,
BasicTypeInfo.LONG_TYPE_INFO,
BasicTypeInfo.INT_TYPE_INFO
);
// LONG DATA
private final List<Long> emptyLongData = new ArrayList<Long>();
@Test
public void testFieldsProjection() {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple5<Integer, Long, String, Long, Integer>> tupleDs = env.fromCollection(emptyTupleData, tupleTypeInfo);
// should work
try {
tupleDs.project(0);
} catch(Exception e) {
Assert.fail();
}
// should not work: too many fields
try {
tupleDs.project(0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25);
Assert.fail();
} catch(IllegalArgumentException iae) {
// we're good here
} catch(Exception e) {
Assert.fail();
}
// should not work: index out of bounds of input tuple
try {
tupleDs.project(0,5,2);
Assert.fail();
} catch(IndexOutOfBoundsException ioobe) {
// we're good here
} catch(Exception e) {
Assert.fail();
}
// should not work: not applied to tuple dataset
DataSet<Long> longDs = env.fromCollection(emptyLongData, BasicTypeInfo.LONG_TYPE_INFO);
try {
longDs.project(0);
Assert.fail();
} catch(UnsupportedOperationException uoe) {
// we're good here
} catch(Exception e) {
Assert.fail();
}
}
@Test
public void testProjectionTypes() {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple5<Integer, Long, String, Long, Integer>> tupleDs = env.fromCollection(emptyTupleData, tupleTypeInfo);
// should work
try {
tupleDs.project(0).types(Integer.class);
} catch(Exception e) {
Assert.fail();
}
// should not work: too few types
try {
tupleDs.project(2,1,4).types(String.class, Long.class);
Assert.fail();
} catch(IllegalArgumentException iae) {
// we're good here
} catch(Exception e) {
Assert.fail();
}
// should not work: given types do not match input types
try {
tupleDs.project(2,1,4).types(String.class, Long.class, Long.class);
Assert.fail();
} catch(IllegalArgumentException iae) {
// we're good here
} catch(Exception e) {
Assert.fail();
}
}
}