org.apache.flink.api.java.typeutils.TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo java code examples

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 2-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @param type1 The type of CSV field 1 and the type of field 1 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0, T1> DataSource<Tuple2<T0, T1>> types(Class<T0> type0, Class<T1> type1) {
  TupleTypeInfo<Tuple2<T0, T1>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1);
  CsvInputFormat<Tuple2<T0, T1>> inputFormat = new TupleCsvInputFormat<Tuple2<T0, T1>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple2<T0, T1>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 1-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0> DataSource<Tuple1<T0>> types(Class<T0> type0) {
  TupleTypeInfo<Tuple1<T0>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0);
  CsvInputFormat<Tuple1<T0>> inputFormat = new TupleCsvInputFormat<Tuple1<T0>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple1<T0>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 3-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @param type1 The type of CSV field 1 and the type of field 1 in the returned tuple type.
 * @param type2 The type of CSV field 2 and the type of field 2 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0, T1, T2> DataSource<Tuple3<T0, T1, T2>> types(Class<T0> type0, Class<T1> type1, Class<T2> type2) {
  TupleTypeInfo<Tuple3<T0, T1, T2>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2);
  CsvInputFormat<Tuple3<T0, T1, T2>> inputFormat = new TupleCsvInputFormat<Tuple3<T0, T1, T2>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple3<T0, T1, T2>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 5-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @param type1 The type of CSV field 1 and the type of field 1 in the returned tuple type.
 * @param type2 The type of CSV field 2 and the type of field 2 in the returned tuple type.
 * @param type3 The type of CSV field 3 and the type of field 3 in the returned tuple type.
 * @param type4 The type of CSV field 4 and the type of field 4 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0, T1, T2, T3, T4> DataSource<Tuple5<T0, T1, T2, T3, T4>> types(Class<T0> type0, Class<T1> type1, Class<T2> type2, Class<T3> type3, Class<T4> type4) {
  TupleTypeInfo<Tuple5<T0, T1, T2, T3, T4>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3, type4);
  CsvInputFormat<Tuple5<T0, T1, T2, T3, T4>> inputFormat = new TupleCsvInputFormat<Tuple5<T0, T1, T2, T3, T4>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple5<T0, T1, T2, T3, T4>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

private DataSet<Tuple2<IntValue, IntValue>> getDataSet(ExecutionEnvironment env, int numberOfElements, int keyRange) {
  return env
    .fromCollection(new TupleIntValueIntValueIterator(numberOfElements, keyRange),
      TupleTypeInfo.<Tuple2<IntValue, IntValue>>getBasicAndBasicValueTupleTypeInfo(IntValue.class, IntValue.class));
}

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 4-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @param type1 The type of CSV field 1 and the type of field 1 in the returned tuple type.
 * @param type2 The type of CSV field 2 and the type of field 2 in the returned tuple type.
 * @param type3 The type of CSV field 3 and the type of field 3 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0, T1, T2, T3> DataSource<Tuple4<T0, T1, T2, T3>> types(Class<T0> type0, Class<T1> type1, Class<T2> type2, Class<T3> type3) {
  TupleTypeInfo<Tuple4<T0, T1, T2, T3>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3);
  CsvInputFormat<Tuple4<T0, T1, T2, T3>> inputFormat = new TupleCsvInputFormat<Tuple4<T0, T1, T2, T3>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple4<T0, T1, T2, T3>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 6-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @param type1 The type of CSV field 1 and the type of field 1 in the returned tuple type.
 * @param type2 The type of CSV field 2 and the type of field 2 in the returned tuple type.
 * @param type3 The type of CSV field 3 and the type of field 3 in the returned tuple type.
 * @param type4 The type of CSV field 4 and the type of field 4 in the returned tuple type.
 * @param type5 The type of CSV field 5 and the type of field 5 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0, T1, T2, T3, T4, T5> DataSource<Tuple6<T0, T1, T2, T3, T4, T5>> types(Class<T0> type0, Class<T1> type1, Class<T2> type2, Class<T3> type3, Class<T4> type4, Class<T5> type5) {
  TupleTypeInfo<Tuple6<T0, T1, T2, T3, T4, T5>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3, type4, type5);
  CsvInputFormat<Tuple6<T0, T1, T2, T3, T4, T5>> inputFormat = new TupleCsvInputFormat<Tuple6<T0, T1, T2, T3, T4, T5>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple6<T0, T1, T2, T3, T4, T5>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 7-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @param type1 The type of CSV field 1 and the type of field 1 in the returned tuple type.
 * @param type2 The type of CSV field 2 and the type of field 2 in the returned tuple type.
 * @param type3 The type of CSV field 3 and the type of field 3 in the returned tuple type.
 * @param type4 The type of CSV field 4 and the type of field 4 in the returned tuple type.
 * @param type5 The type of CSV field 5 and the type of field 5 in the returned tuple type.
 * @param type6 The type of CSV field 6 and the type of field 6 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0, T1, T2, T3, T4, T5, T6> DataSource<Tuple7<T0, T1, T2, T3, T4, T5, T6>> types(Class<T0> type0, Class<T1> type1, Class<T2> type2, Class<T3> type3, Class<T4> type4, Class<T5> type5, Class<T6> type6) {
  TupleTypeInfo<Tuple7<T0, T1, T2, T3, T4, T5, T6>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3, type4, type5, type6);
  CsvInputFormat<Tuple7<T0, T1, T2, T3, T4, T5, T6>> inputFormat = new TupleCsvInputFormat<Tuple7<T0, T1, T2, T3, T4, T5, T6>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple7<T0, T1, T2, T3, T4, T5, T6>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 8-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @param type1 The type of CSV field 1 and the type of field 1 in the returned tuple type.
 * @param type2 The type of CSV field 2 and the type of field 2 in the returned tuple type.
 * @param type3 The type of CSV field 3 and the type of field 3 in the returned tuple type.
 * @param type4 The type of CSV field 4 and the type of field 4 in the returned tuple type.
 * @param type5 The type of CSV field 5 and the type of field 5 in the returned tuple type.
 * @param type6 The type of CSV field 6 and the type of field 6 in the returned tuple type.
 * @param type7 The type of CSV field 7 and the type of field 7 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0, T1, T2, T3, T4, T5, T6, T7> DataSource<Tuple8<T0, T1, T2, T3, T4, T5, T6, T7>> types(Class<T0> type0, Class<T1> type1, Class<T2> type2, Class<T3> type3, Class<T4> type4, Class<T5> type5, Class<T6> type6, Class<T7> type7) {
  TupleTypeInfo<Tuple8<T0, T1, T2, T3, T4, T5, T6, T7>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3, type4, type5, type6, type7);
  CsvInputFormat<Tuple8<T0, T1, T2, T3, T4, T5, T6, T7>> inputFormat = new TupleCsvInputFormat<Tuple8<T0, T1, T2, T3, T4, T5, T6, T7>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple8<T0, T1, T2, T3, T4, T5, T6, T7>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 9-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @param type1 The type of CSV field 1 and the type of field 1 in the returned tuple type.
 * @param type2 The type of CSV field 2 and the type of field 2 in the returned tuple type.
 * @param type3 The type of CSV field 3 and the type of field 3 in the returned tuple type.
 * @param type4 The type of CSV field 4 and the type of field 4 in the returned tuple type.
 * @param type5 The type of CSV field 5 and the type of field 5 in the returned tuple type.
 * @param type6 The type of CSV field 6 and the type of field 6 in the returned tuple type.
 * @param type7 The type of CSV field 7 and the type of field 7 in the returned tuple type.
 * @param type8 The type of CSV field 8 and the type of field 8 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0, T1, T2, T3, T4, T5, T6, T7, T8> DataSource<Tuple9<T0, T1, T2, T3, T4, T5, T6, T7, T8>> types(Class<T0> type0, Class<T1> type1, Class<T2> type2, Class<T3> type3, Class<T4> type4, Class<T5> type5, Class<T6> type6, Class<T7> type7, Class<T8> type8) {
  TupleTypeInfo<Tuple9<T0, T1, T2, T3, T4, T5, T6, T7, T8>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3, type4, type5, type6, type7, type8);
  CsvInputFormat<Tuple9<T0, T1, T2, T3, T4, T5, T6, T7, T8>> inputFormat = new TupleCsvInputFormat<Tuple9<T0, T1, T2, T3, T4, T5, T6, T7, T8>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple9<T0, T1, T2, T3, T4, T5, T6, T7, T8>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 11-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @param type1 The type of CSV field 1 and the type of field 1 in the returned tuple type.
 * @param type2 The type of CSV field 2 and the type of field 2 in the returned tuple type.
 * @param type3 The type of CSV field 3 and the type of field 3 in the returned tuple type.
 * @param type4 The type of CSV field 4 and the type of field 4 in the returned tuple type.
 * @param type5 The type of CSV field 5 and the type of field 5 in the returned tuple type.
 * @param type6 The type of CSV field 6 and the type of field 6 in the returned tuple type.
 * @param type7 The type of CSV field 7 and the type of field 7 in the returned tuple type.
 * @param type8 The type of CSV field 8 and the type of field 8 in the returned tuple type.
 * @param type9 The type of CSV field 9 and the type of field 9 in the returned tuple type.
 * @param type10 The type of CSV field 10 and the type of field 10 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> DataSource<Tuple11<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>> types(Class<T0> type0, Class<T1> type1, Class<T2> type2, Class<T3> type3, Class<T4> type4, Class<T5> type5, Class<T6> type6, Class<T7> type7, Class<T8> type8, Class<T9> type9, Class<T10> type10) {
  TupleTypeInfo<Tuple11<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3, type4, type5, type6, type7, type8, type9, type10);
  CsvInputFormat<Tuple11<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>> inputFormat = new TupleCsvInputFormat<Tuple11<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple11<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 12-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @param type1 The type of CSV field 1 and the type of field 1 in the returned tuple type.
 * @param type2 The type of CSV field 2 and the type of field 2 in the returned tuple type.
 * @param type3 The type of CSV field 3 and the type of field 3 in the returned tuple type.
 * @param type4 The type of CSV field 4 and the type of field 4 in the returned tuple type.
 * @param type5 The type of CSV field 5 and the type of field 5 in the returned tuple type.
 * @param type6 The type of CSV field 6 and the type of field 6 in the returned tuple type.
 * @param type7 The type of CSV field 7 and the type of field 7 in the returned tuple type.
 * @param type8 The type of CSV field 8 and the type of field 8 in the returned tuple type.
 * @param type9 The type of CSV field 9 and the type of field 9 in the returned tuple type.
 * @param type10 The type of CSV field 10 and the type of field 10 in the returned tuple type.
 * @param type11 The type of CSV field 11 and the type of field 11 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> DataSource<Tuple12<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>> types(Class<T0> type0, Class<T1> type1, Class<T2> type2, Class<T3> type3, Class<T4> type4, Class<T5> type5, Class<T6> type6, Class<T7> type7, Class<T8> type8, Class<T9> type9, Class<T10> type10, Class<T11> type11) {
  TupleTypeInfo<Tuple12<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3, type4, type5, type6, type7, type8, type9, type10, type11);
  CsvInputFormat<Tuple12<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>> inputFormat = new TupleCsvInputFormat<Tuple12<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple12<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 10-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @param type1 The type of CSV field 1 and the type of field 1 in the returned tuple type.
 * @param type2 The type of CSV field 2 and the type of field 2 in the returned tuple type.
 * @param type3 The type of CSV field 3 and the type of field 3 in the returned tuple type.
 * @param type4 The type of CSV field 4 and the type of field 4 in the returned tuple type.
 * @param type5 The type of CSV field 5 and the type of field 5 in the returned tuple type.
 * @param type6 The type of CSV field 6 and the type of field 6 in the returned tuple type.
 * @param type7 The type of CSV field 7 and the type of field 7 in the returned tuple type.
 * @param type8 The type of CSV field 8 and the type of field 8 in the returned tuple type.
 * @param type9 The type of CSV field 9 and the type of field 9 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0, T1, T2, T3, T4, T5, T6, T7, T8, T9> DataSource<Tuple10<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9>> types(Class<T0> type0, Class<T1> type1, Class<T2> type2, Class<T3> type3, Class<T4> type4, Class<T5> type5, Class<T6> type6, Class<T7> type7, Class<T8> type8, Class<T9> type9) {
  TupleTypeInfo<Tuple10<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3, type4, type5, type6, type7, type8, type9);
  CsvInputFormat<Tuple10<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9>> inputFormat = new TupleCsvInputFormat<Tuple10<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple10<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 14-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @param type1 The type of CSV field 1 and the type of field 1 in the returned tuple type.
 * @param type2 The type of CSV field 2 and the type of field 2 in the returned tuple type.
 * @param type3 The type of CSV field 3 and the type of field 3 in the returned tuple type.
 * @param type4 The type of CSV field 4 and the type of field 4 in the returned tuple type.
 * @param type5 The type of CSV field 5 and the type of field 5 in the returned tuple type.
 * @param type6 The type of CSV field 6 and the type of field 6 in the returned tuple type.
 * @param type7 The type of CSV field 7 and the type of field 7 in the returned tuple type.
 * @param type8 The type of CSV field 8 and the type of field 8 in the returned tuple type.
 * @param type9 The type of CSV field 9 and the type of field 9 in the returned tuple type.
 * @param type10 The type of CSV field 10 and the type of field 10 in the returned tuple type.
 * @param type11 The type of CSV field 11 and the type of field 11 in the returned tuple type.
 * @param type12 The type of CSV field 12 and the type of field 12 in the returned tuple type.
 * @param type13 The type of CSV field 13 and the type of field 13 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> DataSource<Tuple14<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>> types(Class<T0> type0, Class<T1> type1, Class<T2> type2, Class<T3> type3, Class<T4> type4, Class<T5> type5, Class<T6> type6, Class<T7> type7, Class<T8> type8, Class<T9> type9, Class<T10> type10, Class<T11> type11, Class<T12> type12, Class<T13> type13) {
  TupleTypeInfo<Tuple14<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3, type4, type5, type6, type7, type8, type9, type10, type11, type12, type13);
  CsvInputFormat<Tuple14<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>> inputFormat = new TupleCsvInputFormat<Tuple14<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple14<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 13-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @param type1 The type of CSV field 1 and the type of field 1 in the returned tuple type.
 * @param type2 The type of CSV field 2 and the type of field 2 in the returned tuple type.
 * @param type3 The type of CSV field 3 and the type of field 3 in the returned tuple type.
 * @param type4 The type of CSV field 4 and the type of field 4 in the returned tuple type.
 * @param type5 The type of CSV field 5 and the type of field 5 in the returned tuple type.
 * @param type6 The type of CSV field 6 and the type of field 6 in the returned tuple type.
 * @param type7 The type of CSV field 7 and the type of field 7 in the returned tuple type.
 * @param type8 The type of CSV field 8 and the type of field 8 in the returned tuple type.
 * @param type9 The type of CSV field 9 and the type of field 9 in the returned tuple type.
 * @param type10 The type of CSV field 10 and the type of field 10 in the returned tuple type.
 * @param type11 The type of CSV field 11 and the type of field 11 in the returned tuple type.
 * @param type12 The type of CSV field 12 and the type of field 12 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> DataSource<Tuple13<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>> types(Class<T0> type0, Class<T1> type1, Class<T2> type2, Class<T3> type3, Class<T4> type4, Class<T5> type5, Class<T6> type6, Class<T7> type7, Class<T8> type8, Class<T9> type9, Class<T10> type10, Class<T11> type11, Class<T12> type12) {
  TupleTypeInfo<Tuple13<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3, type4, type5, type6, type7, type8, type9, type10, type11, type12);
  CsvInputFormat<Tuple13<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>> inputFormat = new TupleCsvInputFormat<Tuple13<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple13<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 15-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @param type1 The type of CSV field 1 and the type of field 1 in the returned tuple type.
 * @param type2 The type of CSV field 2 and the type of field 2 in the returned tuple type.
 * @param type3 The type of CSV field 3 and the type of field 3 in the returned tuple type.
 * @param type4 The type of CSV field 4 and the type of field 4 in the returned tuple type.
 * @param type5 The type of CSV field 5 and the type of field 5 in the returned tuple type.
 * @param type6 The type of CSV field 6 and the type of field 6 in the returned tuple type.
 * @param type7 The type of CSV field 7 and the type of field 7 in the returned tuple type.
 * @param type8 The type of CSV field 8 and the type of field 8 in the returned tuple type.
 * @param type9 The type of CSV field 9 and the type of field 9 in the returned tuple type.
 * @param type10 The type of CSV field 10 and the type of field 10 in the returned tuple type.
 * @param type11 The type of CSV field 11 and the type of field 11 in the returned tuple type.
 * @param type12 The type of CSV field 12 and the type of field 12 in the returned tuple type.
 * @param type13 The type of CSV field 13 and the type of field 13 in the returned tuple type.
 * @param type14 The type of CSV field 14 and the type of field 14 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> DataSource<Tuple15<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>> types(Class<T0> type0, Class<T1> type1, Class<T2> type2, Class<T3> type3, Class<T4> type4, Class<T5> type5, Class<T6> type6, Class<T7> type7, Class<T8> type8, Class<T9> type9, Class<T10> type10, Class<T11> type11, Class<T12> type12, Class<T13> type13, Class<T14> type14) {
  TupleTypeInfo<Tuple15<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3, type4, type5, type6, type7, type8, type9, type10, type11, type12, type13, type14);
  CsvInputFormat<Tuple15<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>> inputFormat = new TupleCsvInputFormat<Tuple15<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple15<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

TupleTypeInfo<Tuple18<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3, type4, type5, type6, type7, type8, type9, type10, type11, type12, type13, type14, type15, type16, type17);
CsvInputFormat<Tuple18<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>> inputFormat = new TupleCsvInputFormat<Tuple18<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>>(path, types, this.includedMask);
configureInputFormat(inputFormat);

TupleTypeInfo<Tuple19<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3, type4, type5, type6, type7, type8, type9, type10, type11, type12, type13, type14, type15, type16, type17, type18);
CsvInputFormat<Tuple19<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>> inputFormat = new TupleCsvInputFormat<Tuple19<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>>(path, types, this.includedMask);
configureInputFormat(inputFormat);

/**
 * Specifies the types for the CSV fields. This method parses the CSV data to a 16-tuple
 * which has fields of the specified types.
 * This method is overloaded for each possible length of the tuples to support type safe
 * creation of data sets through CSV parsing.
 *
 * @param type0 The type of CSV field 0 and the type of field 0 in the returned tuple type.
 * @param type1 The type of CSV field 1 and the type of field 1 in the returned tuple type.
 * @param type2 The type of CSV field 2 and the type of field 2 in the returned tuple type.
 * @param type3 The type of CSV field 3 and the type of field 3 in the returned tuple type.
 * @param type4 The type of CSV field 4 and the type of field 4 in the returned tuple type.
 * @param type5 The type of CSV field 5 and the type of field 5 in the returned tuple type.
 * @param type6 The type of CSV field 6 and the type of field 6 in the returned tuple type.
 * @param type7 The type of CSV field 7 and the type of field 7 in the returned tuple type.
 * @param type8 The type of CSV field 8 and the type of field 8 in the returned tuple type.
 * @param type9 The type of CSV field 9 and the type of field 9 in the returned tuple type.
 * @param type10 The type of CSV field 10 and the type of field 10 in the returned tuple type.
 * @param type11 The type of CSV field 11 and the type of field 11 in the returned tuple type.
 * @param type12 The type of CSV field 12 and the type of field 12 in the returned tuple type.
 * @param type13 The type of CSV field 13 and the type of field 13 in the returned tuple type.
 * @param type14 The type of CSV field 14 and the type of field 14 in the returned tuple type.
 * @param type15 The type of CSV field 15 and the type of field 15 in the returned tuple type.
 * @return The {@link org.apache.flink.api.java.DataSet} representing the parsed CSV data.
 */
public <T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> DataSource<Tuple16<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>> types(Class<T0> type0, Class<T1> type1, Class<T2> type2, Class<T3> type3, Class<T4> type4, Class<T5> type5, Class<T6> type6, Class<T7> type7, Class<T8> type8, Class<T9> type9, Class<T10> type10, Class<T11> type11, Class<T12> type12, Class<T13> type13, Class<T14> type14, Class<T15> type15) {
  TupleTypeInfo<Tuple16<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3, type4, type5, type6, type7, type8, type9, type10, type11, type12, type13, type14, type15);
  CsvInputFormat<Tuple16<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>> inputFormat = new TupleCsvInputFormat<Tuple16<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>>(path, types, this.includedMask);
  configureInputFormat(inputFormat);
  return new DataSource<Tuple16<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>>(executionContext, inputFormat, types, Utils.getCallLocationName());
}

TupleTypeInfo<Tuple20<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>> types = TupleTypeInfo.getBasicAndBasicValueTupleTypeInfo(type0, type1, type2, type3, type4, type5, type6, type7, type8, type9, type10, type11, type12, type13, type14, type15, type16, type17, type18, type19);
CsvInputFormat<Tuple20<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>> inputFormat = new TupleCsvInputFormat<Tuple20<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>>(path, types, this.includedMask);
configureInputFormat(inputFormat);

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