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This article mainly explains "how to use Flink Min to get the minimum value in a set of data streams". The content in the article is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn "how to use Flink Min to get the minimum value in a set of data streams".

Min aggregation: gets the smallest value in a set of data streams (as opposed to max)

Sample environment

Java.version: 1.8.xflink.version: 1.11.1

Sample data source (project code cloud download)

Building Development Environment and data of Flink system example

Min.java

Import com.flink.examples.DataSource;import org.apache.flink.api.common.functions.MapFunction;import org.apache.flink.api.common.typeinfo.Types;import org.apache.flink.api.java.functions.KeySelector;import org.apache.flink.api.java.tuple.Tuple2;import org.apache.flink.api.java.tuple.Tuple3;import org.apache.flink.streaming.api.datastream.DataStream;import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;import java.util.List / * * @ Description min aggregation: get the smallest value in a set of data streams (as opposed to max) * / public class Min {/ * traversal collection, and return the minimum age * @ param args * @ throws Exception * / public static void main (String [] args) throws Exception {final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment (); List tuple3List = DataSource.getTuple3ToList () DataStream dataStream = env.fromCollection (tuple3List) .map (new MapFunction () {@ Override public Tuple2 map (Tuple3 tuple3) throws Exception {return new Tuple2 (tuple3.f1,tuple3.f2) }}) .returns (Types.TUPLE (Types.STRING,Types.INT)) .keyby ((KeySelector) k-> k.f0) / / scroll by the quantity window, calculating every 3 input data streams. CountWindow (3) .min (1) DataStream.print (); env.execute ("flink Min job");}}

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