Flink 能否将结果写入多个文件(如 Hadoop 的 MultipleOutputFormat)? [英] Can Flink write results into multiple files (like Hadoop's MultipleOutputFormat)?
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问题描述
我正在使用 Apache Flink 的数据集 API.我想实现一个将多个结果写入不同文件的作业.
I'm using Apache Flink's DataSet API. I want to implement a job that writes multiple results into different files.
我该怎么做?
推荐答案
您可以根据需要向 DataSet
程序添加任意数量的数据接收器.
You can add as many data sinks to a DataSet
program as you need.
例如在这样的程序中:
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple3<String, Long, Long>> data = env.readFromCsv(...);
// apply MapFunction and emit
data.map(new YourMapper()).writeToText("/foo/bar");
// apply FilterFunction and emit
data.filter(new YourFilter()).writeToCsv("/foo/bar2");
您从 CSV 文件中读取了 DataSet
data
.这个 data
被提供给两个后续的转换:
You read a DataSet
data
from a CSV file. This data
is given to two subsequent transformations:
- 到
MapFunction
并将其结果写入文本文件. - 到一个
FilterFunction
并且未过滤的元组被写入一个 CSV 文件.
- To a
MapFunction
and its result is written to a text file. - To a
FilterFunction
and the non-filtered tuples are written to a CSV file.
您还可以拥有多个数据源和分支合并数据集(使用union
、join
、coGroup
、cross
,或广播集),随你喜欢.
You can also have multiple data source and branch and merge data sets (using union
, join
, coGroup
, cross
, or broadcast sets) as you like.
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