本文整理汇总了Java中org.apache.flink.api.common.operators.base.MapOperatorBase.setParallelism方法的典型用法代码示例。如果您正苦于以下问题：Java MapOperatorBase.setParallelism方法的具体用法？Java MapOperatorBase.setParallelism怎么用？Java MapOperatorBase.setParallelism使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.apache.flink.api.common.operators.base.MapOperatorBase的用法示例。
在下文中一共展示了MapOperatorBase.setParallelism方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: translateToDataFlow
import org.apache.flink.api.common.operators.base.MapOperatorBase; //导入方法依赖的package包/类
@Override
protected MapOperatorBase<IN, OUT, MapFunction<IN, OUT>> translateToDataFlow(Operator<IN> input) {
String name = getName() != null ? getName() : "Map at " + defaultName;
// create operator
MapOperatorBase<IN, OUT, MapFunction<IN, OUT>> po = new MapOperatorBase<IN, OUT, MapFunction<IN, OUT>>(function,
new UnaryOperatorInformation<IN, OUT>(getInputType(), getResultType()), name);
// set input
po.setInput(input);
// set parallelism
if (this.getParallelism() > 0) {
// use specified parallelism
po.setParallelism(this.getParallelism());
} else {
// if no parallelism has been specified, use parallelism of input operator to enable chaining
po.setParallelism(input.getParallelism());
}
return po;
}
示例2: appendKeyExtractor
import org.apache.flink.api.common.operators.base.MapOperatorBase; //导入方法依赖的package包/类
@SuppressWarnings("unchecked")
public static <T, K> org.apache.flink.api.common.operators.Operator<Tuple2<K, T>> appendKeyExtractor(
org.apache.flink.api.common.operators.Operator<T> input,
SelectorFunctionKeys<T, K> key) {
TypeInformation<T> inputType = key.getInputType();
TypeInformation<Tuple2<K, T>> typeInfoWithKey = createTypeWithKey(key);
KeyExtractingMapper<T, K> extractor = new KeyExtractingMapper(key.getKeyExtractor());
MapOperatorBase<T, Tuple2<K, T>, MapFunction<T, Tuple2<K, T>>> mapper =
new MapOperatorBase<T, Tuple2<K, T>, MapFunction<T, Tuple2<K, T>>>(
extractor,
new UnaryOperatorInformation(inputType, typeInfoWithKey),
"Key Extractor"
);
mapper.setInput(input);
mapper.setParallelism(input.getParallelism());
return mapper;
}
示例3: appendKeyRemover
import org.apache.flink.api.common.operators.base.MapOperatorBase; //导入方法依赖的package包/类
public static <T, K> org.apache.flink.api.common.operators.SingleInputOperator<?, T, ?> appendKeyRemover(
org.apache.flink.api.common.operators.Operator<Tuple2<K, T>> inputWithKey,
SelectorFunctionKeys<T, K> key) {
TypeInformation<T> inputType = key.getInputType();
TypeInformation<Tuple2<K, T>> typeInfoWithKey = createTypeWithKey(key);
MapOperatorBase<Tuple2<K, T>, T, MapFunction<Tuple2<K, T>, T>> mapper =
new MapOperatorBase<Tuple2<K, T>, T, MapFunction<Tuple2<K, T>, T>>(
new KeyRemovingMapper<T, K>(),
new UnaryOperatorInformation<>(typeInfoWithKey, inputType),
"Key Remover"
);
mapper.setInput(inputWithKey);
mapper.setParallelism(inputWithKey.getParallelism());
return mapper;
}