org.apache.flink.api.java.typeutils.ValueTypeInfo Java Examples
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org.apache.flink.api.java.typeutils.ValueTypeInfo.
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Example #1
Source File: EitherSerializerTest.java From flink with Apache License 2.0 | 6 votes |
@Test public void testStringValueDoubleValueEither() { @SuppressWarnings("unchecked") Either<StringValue, DoubleValue>[] testData = new Either[] { Left(new StringValue("banana")), Left.of(new StringValue("apple")), new Left(new StringValue("")), Right(new DoubleValue(32.0)), Right.of(new DoubleValue(Double.MIN_VALUE)), new Right(new DoubleValue(Double.MAX_VALUE))}; EitherTypeInfo<StringValue, DoubleValue> eitherTypeInfo = new EitherTypeInfo<>( ValueTypeInfo.STRING_VALUE_TYPE_INFO, ValueTypeInfo.DOUBLE_VALUE_TYPE_INFO); EitherSerializer<StringValue, DoubleValue> eitherSerializer = (EitherSerializer<StringValue, DoubleValue>) eitherTypeInfo.createSerializer(new ExecutionConfig()); SerializerTestInstance<Either<StringValue, DoubleValue>> testInstance = new EitherSerializerTestInstance<>(eitherSerializer, eitherTypeInfo.getTypeClass(), -1, testData); testInstance.testAll(); }
Example #2
Source File: ValueCollectionDataSets.java From flink with Apache License 2.0 | 6 votes |
public static DataSet<Tuple3<Tuple2<IntValue, IntValue>, StringValue, IntValue>> getGroupSortedNestedTupleDataSet2(ExecutionEnvironment env) { List<Tuple3<Tuple2<IntValue, IntValue>, StringValue, IntValue>> data = new ArrayList<>(); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(1), new IntValue(3)), new StringValue("a"), new IntValue(2))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(1), new IntValue(2)), new StringValue("a"), new IntValue(1))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(2), new IntValue(1)), new StringValue("a"), new IntValue(3))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(2), new IntValue(2)), new StringValue("b"), new IntValue(4))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(3), new IntValue(3)), new StringValue("c"), new IntValue(5))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(3), new IntValue(6)), new StringValue("c"), new IntValue(6))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(4), new IntValue(9)), new StringValue("c"), new IntValue(7))); TupleTypeInfo<Tuple3<Tuple2<IntValue, IntValue>, StringValue, IntValue>> type = new TupleTypeInfo<>( new TupleTypeInfo<Tuple2<IntValue, IntValue>>(ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO), ValueTypeInfo.STRING_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO ); return env.fromCollection(data, type); }
Example #3
Source File: ValueCollectionDataSets.java From flink with Apache License 2.0 | 6 votes |
public static DataSet<Tuple3<Tuple2<IntValue, IntValue>, StringValue, IntValue>> getGroupSortedNestedTupleDataSet2(ExecutionEnvironment env) { List<Tuple3<Tuple2<IntValue, IntValue>, StringValue, IntValue>> data = new ArrayList<>(); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(1), new IntValue(3)), new StringValue("a"), new IntValue(2))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(1), new IntValue(2)), new StringValue("a"), new IntValue(1))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(2), new IntValue(1)), new StringValue("a"), new IntValue(3))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(2), new IntValue(2)), new StringValue("b"), new IntValue(4))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(3), new IntValue(3)), new StringValue("c"), new IntValue(5))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(3), new IntValue(6)), new StringValue("c"), new IntValue(6))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(4), new IntValue(9)), new StringValue("c"), new IntValue(7))); TupleTypeInfo<Tuple3<Tuple2<IntValue, IntValue>, StringValue, IntValue>> type = new TupleTypeInfo<>( new TupleTypeInfo<Tuple2<IntValue, IntValue>>(ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO), ValueTypeInfo.STRING_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO ); return env.fromCollection(data, type); }
Example #4
Source File: ValueCollectionDataSets.java From flink with Apache License 2.0 | 6 votes |
public static DataSet<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> getGroupSortedNestedTupleDataSet(ExecutionEnvironment env) { List<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> data = new ArrayList<>(); data.add(new Tuple2<>(new Tuple2<>(new IntValue(1), new IntValue(3)), new StringValue("a"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(1), new IntValue(2)), new StringValue("a"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(2), new IntValue(1)), new StringValue("a"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(2), new IntValue(2)), new StringValue("b"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(3), new IntValue(3)), new StringValue("c"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(3), new IntValue(6)), new StringValue("c"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(4), new IntValue(9)), new StringValue("c"))); TupleTypeInfo<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> type = new TupleTypeInfo<>( new TupleTypeInfo<Tuple2<IntValue, IntValue>>(ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO), ValueTypeInfo.STRING_VALUE_TYPE_INFO ); return env.fromCollection(data, type); }
Example #5
Source File: ValueCollectionDataSets.java From flink with Apache License 2.0 | 6 votes |
public static DataSet<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> getGroupSortedNestedTupleDataSet(ExecutionEnvironment env) { List<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> data = new ArrayList<>(); data.add(new Tuple2<>(new Tuple2<>(new IntValue(1), new IntValue(3)), new StringValue("a"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(1), new IntValue(2)), new StringValue("a"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(2), new IntValue(1)), new StringValue("a"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(2), new IntValue(2)), new StringValue("b"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(3), new IntValue(3)), new StringValue("c"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(3), new IntValue(6)), new StringValue("c"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(4), new IntValue(9)), new StringValue("c"))); TupleTypeInfo<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> type = new TupleTypeInfo<>( new TupleTypeInfo<Tuple2<IntValue, IntValue>>(ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO), ValueTypeInfo.STRING_VALUE_TYPE_INFO ); return env.fromCollection(data, type); }
Example #6
Source File: ValueCollectionDataSets.java From flink with Apache License 2.0 | 6 votes |
public static DataSet<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> getSmall5TupleDataSet(ExecutionEnvironment env) { List<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> data = new ArrayList<>(); data.add(new Tuple5<>(new IntValue(1), new LongValue(1L), new IntValue(0), new StringValue("Hallo"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(2), new LongValue(2L), new IntValue(1), new StringValue("Hallo Welt"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(2), new LongValue(3L), new IntValue(2), new StringValue("Hallo Welt wie"), new LongValue(1L))); Collections.shuffle(data); TupleTypeInfo<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> type = new TupleTypeInfo<>( ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.LONG_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.STRING_VALUE_TYPE_INFO, ValueTypeInfo.LONG_VALUE_TYPE_INFO ); return env.fromCollection(data, type); }
Example #7
Source File: CSVReaderTest.java From flink with Apache License 2.0 | 6 votes |
@Test public void testSubClassWithPartialsInHierarchie() throws Exception { CsvReader reader = getCsvReader(); DataSource<FinalItem> sitems = reader.tupleType(FinalItem.class); TypeInformation<?> info = sitems.getType(); Assert.assertEquals(true, info.isTupleType()); Assert.assertEquals(FinalItem.class, info.getTypeClass()); @SuppressWarnings("unchecked") TupleTypeInfo<SubItem> tinfo = (TupleTypeInfo<SubItem>) info; Assert.assertEquals(BasicTypeInfo.INT_TYPE_INFO, tinfo.getTypeAt(0)); Assert.assertEquals(BasicTypeInfo.STRING_TYPE_INFO, tinfo.getTypeAt(1)); Assert.assertEquals(BasicTypeInfo.DOUBLE_TYPE_INFO, tinfo.getTypeAt(2)); Assert.assertEquals(ValueTypeInfo.class, tinfo.getTypeAt(3).getClass()); Assert.assertEquals(ValueTypeInfo.class, tinfo.getTypeAt(4).getClass()); Assert.assertEquals(StringValue.class, ((ValueTypeInfo<?>) tinfo.getTypeAt(3)).getTypeClass()); Assert.assertEquals(LongValue.class, ((ValueTypeInfo<?>) tinfo.getTypeAt(4)).getTypeClass()); CsvInputFormat<?> inputFormat = (CsvInputFormat<?>) sitems.getInputFormat(); Assert.assertArrayEquals(new Class<?>[] {Integer.class, String.class, Double.class, StringValue.class, LongValue.class}, inputFormat.getFieldTypes()); }
Example #8
Source File: ValueCollectionDataSets.java From flink with Apache License 2.0 | 6 votes |
public static DataSet<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> getSmall5TupleDataSet(ExecutionEnvironment env) { List<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> data = new ArrayList<>(); data.add(new Tuple5<>(new IntValue(1), new LongValue(1L), new IntValue(0), new StringValue("Hallo"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(2), new LongValue(2L), new IntValue(1), new StringValue("Hallo Welt"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(2), new LongValue(3L), new IntValue(2), new StringValue("Hallo Welt wie"), new LongValue(1L))); Collections.shuffle(data); TupleTypeInfo<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> type = new TupleTypeInfo<>( ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.LONG_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.STRING_VALUE_TYPE_INFO, ValueTypeInfo.LONG_VALUE_TYPE_INFO ); return env.fromCollection(data, type); }
Example #9
Source File: EitherSerializerTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
@Test public void testEitherWithTupleValues() { @SuppressWarnings("unchecked") Either<Tuple2<LongValue, LongValue>, DoubleValue>[] testData = new Either[] { Left(new Tuple2<>(new LongValue(2L), new LongValue(9L))), new Left<>(new Tuple2<>(new LongValue(Long.MIN_VALUE), new LongValue(Long.MAX_VALUE))), new Right<>(new DoubleValue(32.0)), Right(new DoubleValue(Double.MIN_VALUE)), Right(new DoubleValue(Double.MAX_VALUE))}; EitherTypeInfo<Tuple2<LongValue, LongValue>, DoubleValue> eitherTypeInfo = new EitherTypeInfo<>( new TupleTypeInfo<Tuple2<LongValue, LongValue>>(ValueTypeInfo.LONG_VALUE_TYPE_INFO, ValueTypeInfo.LONG_VALUE_TYPE_INFO), ValueTypeInfo.DOUBLE_VALUE_TYPE_INFO); EitherSerializer<Tuple2<LongValue, LongValue>, DoubleValue> eitherSerializer = (EitherSerializer<Tuple2<LongValue, LongValue>, DoubleValue>) eitherTypeInfo.createSerializer(new ExecutionConfig()); SerializerTestInstance<Either<Tuple2<LongValue, LongValue>, DoubleValue>> testInstance = new EitherSerializerTestInstance<>(eitherSerializer, eitherTypeInfo.getTypeClass(), -1, testData); testInstance.testAll(); }
Example #10
Source File: EitherSerializerTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
@Test public void testStringValueDoubleValueEither() { @SuppressWarnings("unchecked") Either<StringValue, DoubleValue>[] testData = new Either[] { Left(new StringValue("banana")), Left.of(new StringValue("apple")), new Left(new StringValue("")), Right(new DoubleValue(32.0)), Right.of(new DoubleValue(Double.MIN_VALUE)), new Right(new DoubleValue(Double.MAX_VALUE))}; EitherTypeInfo<StringValue, DoubleValue> eitherTypeInfo = new EitherTypeInfo<>( ValueTypeInfo.STRING_VALUE_TYPE_INFO, ValueTypeInfo.DOUBLE_VALUE_TYPE_INFO); EitherSerializer<StringValue, DoubleValue> eitherSerializer = (EitherSerializer<StringValue, DoubleValue>) eitherTypeInfo.createSerializer(new ExecutionConfig()); SerializerTestInstance<Either<StringValue, DoubleValue>> testInstance = new EitherSerializerTestInstance<>(eitherSerializer, eitherTypeInfo.getTypeClass(), -1, testData); testInstance.testAll(); }
Example #11
Source File: CSVReaderTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
@Test public void testSubClassWithPartialsInHierarchie() throws Exception { CsvReader reader = getCsvReader(); DataSource<FinalItem> sitems = reader.tupleType(FinalItem.class); TypeInformation<?> info = sitems.getType(); Assert.assertEquals(true, info.isTupleType()); Assert.assertEquals(FinalItem.class, info.getTypeClass()); @SuppressWarnings("unchecked") TupleTypeInfo<SubItem> tinfo = (TupleTypeInfo<SubItem>) info; Assert.assertEquals(BasicTypeInfo.INT_TYPE_INFO, tinfo.getTypeAt(0)); Assert.assertEquals(BasicTypeInfo.STRING_TYPE_INFO, tinfo.getTypeAt(1)); Assert.assertEquals(BasicTypeInfo.DOUBLE_TYPE_INFO, tinfo.getTypeAt(2)); Assert.assertEquals(ValueTypeInfo.class, tinfo.getTypeAt(3).getClass()); Assert.assertEquals(ValueTypeInfo.class, tinfo.getTypeAt(4).getClass()); Assert.assertEquals(StringValue.class, ((ValueTypeInfo<?>) tinfo.getTypeAt(3)).getTypeClass()); Assert.assertEquals(LongValue.class, ((ValueTypeInfo<?>) tinfo.getTypeAt(4)).getTypeClass()); CsvInputFormat<?> inputFormat = (CsvInputFormat<?>) sitems.getInputFormat(); Assert.assertArrayEquals(new Class<?>[] {Integer.class, String.class, Double.class, StringValue.class, LongValue.class}, inputFormat.getFieldTypes()); }
Example #12
Source File: CSVReaderTest.java From flink with Apache License 2.0 | 6 votes |
@Test public void testSubClassWithPartialsInHierarchie() throws Exception { CsvReader reader = getCsvReader(); DataSource<FinalItem> sitems = reader.tupleType(FinalItem.class); TypeInformation<?> info = sitems.getType(); Assert.assertEquals(true, info.isTupleType()); Assert.assertEquals(FinalItem.class, info.getTypeClass()); @SuppressWarnings("unchecked") TupleTypeInfo<SubItem> tinfo = (TupleTypeInfo<SubItem>) info; Assert.assertEquals(BasicTypeInfo.INT_TYPE_INFO, tinfo.getTypeAt(0)); Assert.assertEquals(BasicTypeInfo.STRING_TYPE_INFO, tinfo.getTypeAt(1)); Assert.assertEquals(BasicTypeInfo.DOUBLE_TYPE_INFO, tinfo.getTypeAt(2)); Assert.assertEquals(ValueTypeInfo.class, tinfo.getTypeAt(3).getClass()); Assert.assertEquals(ValueTypeInfo.class, tinfo.getTypeAt(4).getClass()); Assert.assertEquals(StringValue.class, ((ValueTypeInfo<?>) tinfo.getTypeAt(3)).getTypeClass()); Assert.assertEquals(LongValue.class, ((ValueTypeInfo<?>) tinfo.getTypeAt(4)).getTypeClass()); CsvInputFormat<?> inputFormat = (CsvInputFormat<?>) sitems.getInputFormat(); Assert.assertArrayEquals(new Class<?>[] {Integer.class, String.class, Double.class, StringValue.class, LongValue.class}, inputFormat.getFieldTypes()); }
Example #13
Source File: EitherSerializerTest.java From flink with Apache License 2.0 | 6 votes |
@Test public void testStringValueDoubleValueEither() { @SuppressWarnings("unchecked") Either<StringValue, DoubleValue>[] testData = new Either[] { Left(new StringValue("banana")), Left.of(new StringValue("apple")), new Left(new StringValue("")), Right(new DoubleValue(32.0)), Right.of(new DoubleValue(Double.MIN_VALUE)), new Right(new DoubleValue(Double.MAX_VALUE))}; EitherTypeInfo<StringValue, DoubleValue> eitherTypeInfo = new EitherTypeInfo<>( ValueTypeInfo.STRING_VALUE_TYPE_INFO, ValueTypeInfo.DOUBLE_VALUE_TYPE_INFO); EitherSerializer<StringValue, DoubleValue> eitherSerializer = (EitherSerializer<StringValue, DoubleValue>) eitherTypeInfo.createSerializer(new ExecutionConfig()); SerializerTestInstance<Either<StringValue, DoubleValue>> testInstance = new EitherSerializerTestInstance<>(eitherSerializer, eitherTypeInfo.getTypeClass(), -1, testData); testInstance.testAll(); }
Example #14
Source File: EitherSerializerTest.java From flink with Apache License 2.0 | 6 votes |
@Test public void testEitherWithTupleValues() { @SuppressWarnings("unchecked") Either<Tuple2<LongValue, LongValue>, DoubleValue>[] testData = new Either[] { Left(new Tuple2<>(new LongValue(2L), new LongValue(9L))), new Left<>(new Tuple2<>(new LongValue(Long.MIN_VALUE), new LongValue(Long.MAX_VALUE))), new Right<>(new DoubleValue(32.0)), Right(new DoubleValue(Double.MIN_VALUE)), Right(new DoubleValue(Double.MAX_VALUE))}; EitherTypeInfo<Tuple2<LongValue, LongValue>, DoubleValue> eitherTypeInfo = new EitherTypeInfo<>( new TupleTypeInfo<Tuple2<LongValue, LongValue>>(ValueTypeInfo.LONG_VALUE_TYPE_INFO, ValueTypeInfo.LONG_VALUE_TYPE_INFO), ValueTypeInfo.DOUBLE_VALUE_TYPE_INFO); EitherSerializer<Tuple2<LongValue, LongValue>, DoubleValue> eitherSerializer = (EitherSerializer<Tuple2<LongValue, LongValue>, DoubleValue>) eitherTypeInfo.createSerializer(new ExecutionConfig()); SerializerTestInstance<Either<Tuple2<LongValue, LongValue>, DoubleValue>> testInstance = new EitherSerializerTestInstance<>(eitherSerializer, eitherTypeInfo.getTypeClass(), -1, testData); testInstance.testAll(); }
Example #15
Source File: EitherSerializerTest.java From flink with Apache License 2.0 | 6 votes |
@Test public void testEitherWithTupleValues() { @SuppressWarnings("unchecked") Either<Tuple2<LongValue, LongValue>, DoubleValue>[] testData = new Either[] { Left(new Tuple2<>(new LongValue(2L), new LongValue(9L))), new Left<>(new Tuple2<>(new LongValue(Long.MIN_VALUE), new LongValue(Long.MAX_VALUE))), new Right<>(new DoubleValue(32.0)), Right(new DoubleValue(Double.MIN_VALUE)), Right(new DoubleValue(Double.MAX_VALUE))}; EitherTypeInfo<Tuple2<LongValue, LongValue>, DoubleValue> eitherTypeInfo = new EitherTypeInfo<>( new TupleTypeInfo<Tuple2<LongValue, LongValue>>(ValueTypeInfo.LONG_VALUE_TYPE_INFO, ValueTypeInfo.LONG_VALUE_TYPE_INFO), ValueTypeInfo.DOUBLE_VALUE_TYPE_INFO); EitherSerializer<Tuple2<LongValue, LongValue>, DoubleValue> eitherSerializer = (EitherSerializer<Tuple2<LongValue, LongValue>, DoubleValue>) eitherTypeInfo.createSerializer(new ExecutionConfig()); SerializerTestInstance<Either<Tuple2<LongValue, LongValue>, DoubleValue>> testInstance = new EitherSerializerTestInstance<>(eitherSerializer, eitherTypeInfo.getTypeClass(), -1, testData); testInstance.testAll(); }
Example #16
Source File: ValueCollectionDataSets.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
public static DataSet<Tuple3<Tuple2<IntValue, IntValue>, StringValue, IntValue>> getGroupSortedNestedTupleDataSet2(ExecutionEnvironment env) { List<Tuple3<Tuple2<IntValue, IntValue>, StringValue, IntValue>> data = new ArrayList<>(); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(1), new IntValue(3)), new StringValue("a"), new IntValue(2))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(1), new IntValue(2)), new StringValue("a"), new IntValue(1))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(2), new IntValue(1)), new StringValue("a"), new IntValue(3))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(2), new IntValue(2)), new StringValue("b"), new IntValue(4))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(3), new IntValue(3)), new StringValue("c"), new IntValue(5))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(3), new IntValue(6)), new StringValue("c"), new IntValue(6))); data.add(new Tuple3<>(new Tuple2<IntValue, IntValue>(new IntValue(4), new IntValue(9)), new StringValue("c"), new IntValue(7))); TupleTypeInfo<Tuple3<Tuple2<IntValue, IntValue>, StringValue, IntValue>> type = new TupleTypeInfo<>( new TupleTypeInfo<Tuple2<IntValue, IntValue>>(ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO), ValueTypeInfo.STRING_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO ); return env.fromCollection(data, type); }
Example #17
Source File: ValueCollectionDataSets.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
public static DataSet<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> getGroupSortedNestedTupleDataSet(ExecutionEnvironment env) { List<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> data = new ArrayList<>(); data.add(new Tuple2<>(new Tuple2<>(new IntValue(1), new IntValue(3)), new StringValue("a"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(1), new IntValue(2)), new StringValue("a"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(2), new IntValue(1)), new StringValue("a"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(2), new IntValue(2)), new StringValue("b"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(3), new IntValue(3)), new StringValue("c"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(3), new IntValue(6)), new StringValue("c"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(4), new IntValue(9)), new StringValue("c"))); TupleTypeInfo<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> type = new TupleTypeInfo<>( new TupleTypeInfo<Tuple2<IntValue, IntValue>>(ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO), ValueTypeInfo.STRING_VALUE_TYPE_INFO ); return env.fromCollection(data, type); }
Example #18
Source File: ValueCollectionDataSets.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
public static DataSet<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> getSmall5TupleDataSet(ExecutionEnvironment env) { List<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> data = new ArrayList<>(); data.add(new Tuple5<>(new IntValue(1), new LongValue(1L), new IntValue(0), new StringValue("Hallo"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(2), new LongValue(2L), new IntValue(1), new StringValue("Hallo Welt"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(2), new LongValue(3L), new IntValue(2), new StringValue("Hallo Welt wie"), new LongValue(1L))); Collections.shuffle(data); TupleTypeInfo<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> type = new TupleTypeInfo<>( ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.LONG_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.STRING_VALUE_TYPE_INFO, ValueTypeInfo.LONG_VALUE_TYPE_INFO ); return env.fromCollection(data, type); }
Example #19
Source File: ValueCollectionDataSets.java From flink with Apache License 2.0 | 5 votes |
public static DataSet<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> get5TupleDataSet(ExecutionEnvironment env) { List<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> data = new ArrayList<>(); data.add(new Tuple5<>(new IntValue(1), new LongValue(1L), new IntValue(0), new StringValue("Hallo"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(2), new LongValue(2L), new IntValue(1), new StringValue("Hallo Welt"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(2), new LongValue(3L), new IntValue(2), new StringValue("Hallo Welt wie"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(3), new LongValue(4L), new IntValue(3), new StringValue("Hallo Welt wie gehts?"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(3), new LongValue(5L), new IntValue(4), new StringValue("ABC"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(3), new LongValue(6L), new IntValue(5), new StringValue("BCD"), new LongValue(3L))); data.add(new Tuple5<>(new IntValue(4), new LongValue(7L), new IntValue(6), new StringValue("CDE"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(4), new LongValue(8L), new IntValue(7), new StringValue("DEF"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(4), new LongValue(9L), new IntValue(8), new StringValue("EFG"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(4), new LongValue(10L), new IntValue(9), new StringValue("FGH"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(5), new LongValue(11L), new IntValue(10), new StringValue("GHI"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(5), new LongValue(12L), new IntValue(11), new StringValue("HIJ"), new LongValue(3L))); data.add(new Tuple5<>(new IntValue(5), new LongValue(13L), new IntValue(12), new StringValue("IJK"), new LongValue(3L))); data.add(new Tuple5<>(new IntValue(5), new LongValue(14L), new IntValue(13), new StringValue("JKL"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(5), new LongValue(15L), new IntValue(14), new StringValue("KLM"), new LongValue(2L))); Collections.shuffle(data); TupleTypeInfo<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> type = new TupleTypeInfo<>( ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.LONG_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.STRING_VALUE_TYPE_INFO, ValueTypeInfo.LONG_VALUE_TYPE_INFO ); return env.fromCollection(data, type); }
Example #20
Source File: ValueCollectionDataSets.java From flink with Apache License 2.0 | 5 votes |
public static DataSet<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> getSmallNestedTupleDataSet(ExecutionEnvironment env) { List<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> data = new ArrayList<>(); data.add(new Tuple2<>(new Tuple2<>(new IntValue(1), new IntValue(1)), new StringValue("one"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(2), new IntValue(2)), new StringValue("two"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(3), new IntValue(3)), new StringValue("three"))); TupleTypeInfo<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> type = new TupleTypeInfo<>( new TupleTypeInfo<Tuple2<IntValue, IntValue>>(ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO), ValueTypeInfo.STRING_VALUE_TYPE_INFO ); return env.fromCollection(data, type); }
Example #21
Source File: ValueCollectionDataSets.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
public static DataSet<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> get5TupleDataSet(ExecutionEnvironment env) { List<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> data = new ArrayList<>(); data.add(new Tuple5<>(new IntValue(1), new LongValue(1L), new IntValue(0), new StringValue("Hallo"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(2), new LongValue(2L), new IntValue(1), new StringValue("Hallo Welt"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(2), new LongValue(3L), new IntValue(2), new StringValue("Hallo Welt wie"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(3), new LongValue(4L), new IntValue(3), new StringValue("Hallo Welt wie gehts?"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(3), new LongValue(5L), new IntValue(4), new StringValue("ABC"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(3), new LongValue(6L), new IntValue(5), new StringValue("BCD"), new LongValue(3L))); data.add(new Tuple5<>(new IntValue(4), new LongValue(7L), new IntValue(6), new StringValue("CDE"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(4), new LongValue(8L), new IntValue(7), new StringValue("DEF"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(4), new LongValue(9L), new IntValue(8), new StringValue("EFG"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(4), new LongValue(10L), new IntValue(9), new StringValue("FGH"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(5), new LongValue(11L), new IntValue(10), new StringValue("GHI"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(5), new LongValue(12L), new IntValue(11), new StringValue("HIJ"), new LongValue(3L))); data.add(new Tuple5<>(new IntValue(5), new LongValue(13L), new IntValue(12), new StringValue("IJK"), new LongValue(3L))); data.add(new Tuple5<>(new IntValue(5), new LongValue(14L), new IntValue(13), new StringValue("JKL"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(5), new LongValue(15L), new IntValue(14), new StringValue("KLM"), new LongValue(2L))); Collections.shuffle(data); TupleTypeInfo<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> type = new TupleTypeInfo<>( ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.LONG_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.STRING_VALUE_TYPE_INFO, ValueTypeInfo.LONG_VALUE_TYPE_INFO ); return env.fromCollection(data, type); }
Example #22
Source File: EitherSerializerTest.java From flink with Apache License 2.0 | 5 votes |
@Test public void testEitherWithObjectReuse() { EitherTypeInfo<LongValue, DoubleValue> eitherTypeInfo = new EitherTypeInfo<>( ValueTypeInfo.LONG_VALUE_TYPE_INFO, ValueTypeInfo.DOUBLE_VALUE_TYPE_INFO); EitherSerializer<LongValue, DoubleValue> eitherSerializer = (EitherSerializer<LongValue, DoubleValue>) eitherTypeInfo.createSerializer(new ExecutionConfig()); LongValue lv = new LongValue(); DoubleValue dv = new DoubleValue(); Either<LongValue, DoubleValue> left = Left(lv); Either<LongValue, DoubleValue> right = Right(dv); // the first copy creates a new instance of Left Either<LongValue, DoubleValue> copy0 = eitherSerializer.copy(left, right); // then the cross-references are used for future copies Either<LongValue, DoubleValue> copy1 = eitherSerializer.copy(right, copy0); Either<LongValue, DoubleValue> copy2 = eitherSerializer.copy(left, copy1); // validate reference equality assertSame(right, copy1); assertSame(copy0, copy2); // validate reference equality of contained objects assertSame(right.right(), copy1.right()); assertSame(copy0.left(), copy2.left()); }
Example #23
Source File: EitherSerializerTest.java From flink with Apache License 2.0 | 5 votes |
@Test public void testSerializeIndividually() throws IOException { EitherTypeInfo<LongValue, DoubleValue> eitherTypeInfo = new EitherTypeInfo<>( ValueTypeInfo.LONG_VALUE_TYPE_INFO, ValueTypeInfo.DOUBLE_VALUE_TYPE_INFO); EitherSerializer<LongValue, DoubleValue> eitherSerializer = (EitherSerializer<LongValue, DoubleValue>) eitherTypeInfo.createSerializer(new ExecutionConfig()); LongValue lv = new LongValue(); DoubleValue dv = new DoubleValue(); Either<LongValue, DoubleValue> left = Left(lv); Either<LongValue, DoubleValue> right = Right(dv); TestOutputView out = new TestOutputView(); eitherSerializer.serialize(left, out); eitherSerializer.serialize(right, out); eitherSerializer.serialize(left, out); TestInputView in = out.getInputView(); // the first deserialization creates a new instance of Left Either<LongValue, DoubleValue> copy0 = eitherSerializer.deserialize(right, in); // then the cross-references are used for future copies Either<LongValue, DoubleValue> copy1 = eitherSerializer.deserialize(copy0, in); Either<LongValue, DoubleValue> copy2 = eitherSerializer.deserialize(copy1, in); // validate reference equality assertSame(right, copy1); assertSame(copy0, copy2); // validate reference equality of contained objects assertSame(right.right(), copy1.right()); assertSame(copy0.left(), copy2.left()); }
Example #24
Source File: ValueCollectionDataSets.java From flink with Apache License 2.0 | 5 votes |
public static DataSet<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> getSmallNestedTupleDataSet(ExecutionEnvironment env) { List<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> data = new ArrayList<>(); data.add(new Tuple2<>(new Tuple2<>(new IntValue(1), new IntValue(1)), new StringValue("one"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(2), new IntValue(2)), new StringValue("two"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(3), new IntValue(3)), new StringValue("three"))); TupleTypeInfo<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> type = new TupleTypeInfo<>( new TupleTypeInfo<Tuple2<IntValue, IntValue>>(ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO), ValueTypeInfo.STRING_VALUE_TYPE_INFO ); return env.fromCollection(data, type); }
Example #25
Source File: ValueCollectionDataSets.java From flink with Apache License 2.0 | 5 votes |
public static DataSet<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> get5TupleDataSet(ExecutionEnvironment env) { List<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> data = new ArrayList<>(); data.add(new Tuple5<>(new IntValue(1), new LongValue(1L), new IntValue(0), new StringValue("Hallo"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(2), new LongValue(2L), new IntValue(1), new StringValue("Hallo Welt"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(2), new LongValue(3L), new IntValue(2), new StringValue("Hallo Welt wie"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(3), new LongValue(4L), new IntValue(3), new StringValue("Hallo Welt wie gehts?"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(3), new LongValue(5L), new IntValue(4), new StringValue("ABC"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(3), new LongValue(6L), new IntValue(5), new StringValue("BCD"), new LongValue(3L))); data.add(new Tuple5<>(new IntValue(4), new LongValue(7L), new IntValue(6), new StringValue("CDE"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(4), new LongValue(8L), new IntValue(7), new StringValue("DEF"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(4), new LongValue(9L), new IntValue(8), new StringValue("EFG"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(4), new LongValue(10L), new IntValue(9), new StringValue("FGH"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(5), new LongValue(11L), new IntValue(10), new StringValue("GHI"), new LongValue(1L))); data.add(new Tuple5<>(new IntValue(5), new LongValue(12L), new IntValue(11), new StringValue("HIJ"), new LongValue(3L))); data.add(new Tuple5<>(new IntValue(5), new LongValue(13L), new IntValue(12), new StringValue("IJK"), new LongValue(3L))); data.add(new Tuple5<>(new IntValue(5), new LongValue(14L), new IntValue(13), new StringValue("JKL"), new LongValue(2L))); data.add(new Tuple5<>(new IntValue(5), new LongValue(15L), new IntValue(14), new StringValue("KLM"), new LongValue(2L))); Collections.shuffle(data); TupleTypeInfo<Tuple5<IntValue, LongValue, IntValue, StringValue, LongValue>> type = new TupleTypeInfo<>( ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.LONG_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.STRING_VALUE_TYPE_INFO, ValueTypeInfo.LONG_VALUE_TYPE_INFO ); return env.fromCollection(data, type); }
Example #26
Source File: EitherSerializerTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
@Test public void testSerializeIndividually() throws IOException { EitherTypeInfo<LongValue, DoubleValue> eitherTypeInfo = new EitherTypeInfo<>( ValueTypeInfo.LONG_VALUE_TYPE_INFO, ValueTypeInfo.DOUBLE_VALUE_TYPE_INFO); EitherSerializer<LongValue, DoubleValue> eitherSerializer = (EitherSerializer<LongValue, DoubleValue>) eitherTypeInfo.createSerializer(new ExecutionConfig()); LongValue lv = new LongValue(); DoubleValue dv = new DoubleValue(); Either<LongValue, DoubleValue> left = Left(lv); Either<LongValue, DoubleValue> right = Right(dv); TestOutputView out = new TestOutputView(); eitherSerializer.serialize(left, out); eitherSerializer.serialize(right, out); eitherSerializer.serialize(left, out); TestInputView in = out.getInputView(); // the first deserialization creates a new instance of Left Either<LongValue, DoubleValue> copy0 = eitherSerializer.deserialize(right, in); // then the cross-references are used for future copies Either<LongValue, DoubleValue> copy1 = eitherSerializer.deserialize(copy0, in); Either<LongValue, DoubleValue> copy2 = eitherSerializer.deserialize(copy1, in); // validate reference equality assertSame(right, copy1); assertSame(copy0, copy2); // validate reference equality of contained objects assertSame(right.right(), copy1.right()); assertSame(copy0.left(), copy2.left()); }
Example #27
Source File: EitherSerializerTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
@Test public void testEitherWithObjectReuse() { EitherTypeInfo<LongValue, DoubleValue> eitherTypeInfo = new EitherTypeInfo<>( ValueTypeInfo.LONG_VALUE_TYPE_INFO, ValueTypeInfo.DOUBLE_VALUE_TYPE_INFO); EitherSerializer<LongValue, DoubleValue> eitherSerializer = (EitherSerializer<LongValue, DoubleValue>) eitherTypeInfo.createSerializer(new ExecutionConfig()); LongValue lv = new LongValue(); DoubleValue dv = new DoubleValue(); Either<LongValue, DoubleValue> left = Left(lv); Either<LongValue, DoubleValue> right = Right(dv); // the first copy creates a new instance of Left Either<LongValue, DoubleValue> copy0 = eitherSerializer.copy(left, right); // then the cross-references are used for future copies Either<LongValue, DoubleValue> copy1 = eitherSerializer.copy(right, copy0); Either<LongValue, DoubleValue> copy2 = eitherSerializer.copy(left, copy1); // validate reference equality assertSame(right, copy1); assertSame(copy0, copy2); // validate reference equality of contained objects assertSame(right.right(), copy1.right()); assertSame(copy0.left(), copy2.left()); }
Example #28
Source File: EitherSerializerTest.java From flink with Apache License 2.0 | 5 votes |
@Test public void testEitherWithObjectReuse() { EitherTypeInfo<LongValue, DoubleValue> eitherTypeInfo = new EitherTypeInfo<>( ValueTypeInfo.LONG_VALUE_TYPE_INFO, ValueTypeInfo.DOUBLE_VALUE_TYPE_INFO); EitherSerializer<LongValue, DoubleValue> eitherSerializer = (EitherSerializer<LongValue, DoubleValue>) eitherTypeInfo.createSerializer(new ExecutionConfig()); LongValue lv = new LongValue(); DoubleValue dv = new DoubleValue(); Either<LongValue, DoubleValue> left = Left(lv); Either<LongValue, DoubleValue> right = Right(dv); // the first copy creates a new instance of Left Either<LongValue, DoubleValue> copy0 = eitherSerializer.copy(left, right); // then the cross-references are used for future copies Either<LongValue, DoubleValue> copy1 = eitherSerializer.copy(right, copy0); Either<LongValue, DoubleValue> copy2 = eitherSerializer.copy(left, copy1); // validate reference equality assertSame(right, copy1); assertSame(copy0, copy2); // validate reference equality of contained objects assertSame(right.right(), copy1.right()); assertSame(copy0.left(), copy2.left()); }
Example #29
Source File: EitherSerializerTest.java From flink with Apache License 2.0 | 5 votes |
@Test public void testSerializeIndividually() throws IOException { EitherTypeInfo<LongValue, DoubleValue> eitherTypeInfo = new EitherTypeInfo<>( ValueTypeInfo.LONG_VALUE_TYPE_INFO, ValueTypeInfo.DOUBLE_VALUE_TYPE_INFO); EitherSerializer<LongValue, DoubleValue> eitherSerializer = (EitherSerializer<LongValue, DoubleValue>) eitherTypeInfo.createSerializer(new ExecutionConfig()); LongValue lv = new LongValue(); DoubleValue dv = new DoubleValue(); Either<LongValue, DoubleValue> left = Left(lv); Either<LongValue, DoubleValue> right = Right(dv); TestOutputView out = new TestOutputView(); eitherSerializer.serialize(left, out); eitherSerializer.serialize(right, out); eitherSerializer.serialize(left, out); TestInputView in = out.getInputView(); // the first deserialization creates a new instance of Left Either<LongValue, DoubleValue> copy0 = eitherSerializer.deserialize(right, in); // then the cross-references are used for future copies Either<LongValue, DoubleValue> copy1 = eitherSerializer.deserialize(copy0, in); Either<LongValue, DoubleValue> copy2 = eitherSerializer.deserialize(copy1, in); // validate reference equality assertSame(right, copy1); assertSame(copy0, copy2); // validate reference equality of contained objects assertSame(right.right(), copy1.right()); assertSame(copy0.left(), copy2.left()); }
Example #30
Source File: ValueCollectionDataSets.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
public static DataSet<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> getSmallNestedTupleDataSet(ExecutionEnvironment env) { List<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> data = new ArrayList<>(); data.add(new Tuple2<>(new Tuple2<>(new IntValue(1), new IntValue(1)), new StringValue("one"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(2), new IntValue(2)), new StringValue("two"))); data.add(new Tuple2<>(new Tuple2<>(new IntValue(3), new IntValue(3)), new StringValue("three"))); TupleTypeInfo<Tuple2<Tuple2<IntValue, IntValue>, StringValue>> type = new TupleTypeInfo<>( new TupleTypeInfo<Tuple2<IntValue, IntValue>>(ValueTypeInfo.INT_VALUE_TYPE_INFO, ValueTypeInfo.INT_VALUE_TYPE_INFO), ValueTypeInfo.STRING_VALUE_TYPE_INFO ); return env.fromCollection(data, type); }