Spring SpEL在Flink中的应用-与Filter结合实现数据动态分流

本文主要是介绍Spring SpEL在Flink中的应用-与Filter结合实现数据动态分流，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

文章目录

前言
一、POM依赖
二、主函数代码示例
三、FilterFunction实现
总结

前言

SpEL表达式与Flink fiter结合可以实现基于表达式的灵活动态过滤。有关SpEL表达式的使用请参考Spring SpEL在Flink中的应用-SpEL详解。
可以将过滤规则放入数据库，根据不同的数据设置不同的过滤表达式，从而实现只需修改过滤表达式不用修改Flink代码的效果。

一、POM依赖

首先在 pom.xml 中加入依赖：

<dependency><groupId>org.springframework</groupId><artifactId>spring-expression</artifactId><version>5.2.0.RELEASE</version>
</dependency>

二、主函数代码示例


import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.types.Row;import java.text.SimpleDateFormat;public class FlinkSpelFilterDemo {public static void main(String[] args) throws Exception {StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();Row row=Row.of("张三","001",getTimestamp("2016-10-24 21:59:06"),23);Row row2=Row.of("张三","002",getTimestamp("2016-10-24 21:50:06"),33);Row row3=Row.of("张三","003",getTimestamp("2016-10-24 21:51:06"),43);Row row4=Row.of("李四","004",getTimestamp("2016-10-24 21:50:56"),13);Row row5=Row.of("李四","005",getTimestamp("2016-10-24 00:48:36"),53);Row row6=Row.of("李四","006",getTimestamp("2016-10-24 00:48:36"),34);Row row7=Row.of("李四","007",getTimestamp("2016-10-24 00:48:36"),23);Row row8=Row.of("李四","008",getTimestamp("2016-10-24 00:48:36"),26);Row row9=Row.of("李四","009",getTimestamp("2016-10-24 00:48:36"),63);DataStreamSource<Row> source =env.fromElements(row,row2,row3,row4,row5,row6,row7,row8,row9);//spel表达式，实现日期的比较过滤String spel="compareDate(#row.getField(2), \"2016-10-24 00:48:36\")==0";//实现对数字的过滤
//        spel="#row.getField(3)>33";SingleOutputStreamOperator<Row> filterStream = source.filter(new FilterSpelFunction(spel));filterStream.print();env.execute();}private static java.sql.Timestamp getTimestamp(String str) throws Exception {
//		String string = "2016-10-24 21:59:06";SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");java.util.Date date=sdf.parse(str);java.sql.Timestamp s = new java.sql.Timestamp(date.getTime());return s;}

三、FilterFunction实现


import org.apache.flink.api.common.functions.RichFilterFunction;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.types.Row;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.expression.Expression;
import org.springframework.expression.spel.standard.SpelExpressionParser;
import org.springframework.expression.spel.support.StandardEvaluationContext;
import spel.demo.util.SpelMethodUtil;/*** 基于spel 表达式的过滤*/
public class FilterSpelFunction extends RichFilterFunction<Row> {private static final Logger logger = LoggerFactory.getLogger(FilterSpelFunction.class);private transient Expression exp;private String filterExpr;public FilterSpelFunction(String filterSpel) {filterExpr=filterSpel;logger.info("filterExpr:{}",filterExpr);}@Overridepublic void open(Configuration parameters) throws Exception {super.open(parameters);SpelExpressionParser parser = new SpelExpressionParser();exp = parser.parseExpression(filterExpr);}@Overridepublic boolean filter(Row row) throws Exception {try {//注册自定义函数类StandardEvaluationContext conetxt = new StandardEvaluationContext(new SpelMethodUtil());//设置变量conetxt.setVariable("row",row);Boolean value = exp.getValue(conetxt, Boolean.class);if (value == null) {logger.error("表达式结果为null");throw new Exception("表达式结果为null");}return value;}catch (Exception e){logger.error("filter 异常", e);throw e;}}
}

自定义函数类


import org.apache.commons.lang3.StringUtils;import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.Date;public class SpelMethodUtil {public static final String TIMESTAMP_FORMAT = "yyyy-MM-dd HH:mm:ss";public static final String DATE_FORMAT = "yyyy-MM-dd";public static final String TIME_FORMAT = "HH:mm:ss";public static Integer compareDate(Date date, String strDate){Integer result;if(date==null&& StringUtils.isBlank(strDate)){return 0;}else{if(date==null || StringUtils.isBlank(strDate)){return -2;}}String trimDate=strDate.trim();String format = findFormat(trimDate);Date date2 = stringToDate(trimDate, format);result=date.compareTo(date2);return result;}public static Integer compareDate(Date first, Date second){if(first==null&& second==null){return 0;}else{if(first==null || second==null){return -2;}}return first.compareTo(second);}public static Date stringToDate(String dateStr,String format){SimpleDateFormat sdf = new SimpleDateFormat(format);Date date=null;try {date= sdf.parse(dateStr);} catch (ParseException e) {e.printStackTrace();}return date;}/*** 查找与输入的字符型日期相匹配的format* @param strDate* @return*/public static String findFormat(String strDate){String result=null;String trimDate=strDate.trim();int len=trimDate.length();String dateRegex = "";if(len==TIMESTAMP_FORMAT.length()){dateRegex = "^\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2}$";if(trimDate.matches(dateRegex)){result=TIMESTAMP_FORMAT;}}else if(len==DATE_FORMAT.length()){dateRegex = "^\\d{4}-\\d{2}-\\d{2}$";if(trimDate.matches(dateRegex)){result=DATE_FORMAT;}}else if(len==TIME_FORMAT.length()){dateRegex = "^\\d{2}:\\d{2}:\\d{2}$";if(trimDate.matches(dateRegex)){result=TIME_FORMAT;}}else{throw  new RuntimeException("不可识别的日期格式！"+strDate);}return result;}public static Integer addAge(Integer age){return age+4;}
}