flink联合运算符给出错误响应

kwvwclae 于 2021-06-26 发布在 Flink

关注(0)|答案(2)|浏览(278)

我在二上应用并集运算符 DataStream 通用记录类型的。

package com.gslab.com.dataSets;
import java.io.File;
import java.util.ArrayList;
import java.util.List;
import org.apache.avro.Schema;
import org.apache.avro.generic.GenericData;
import org.apache.avro.generic.GenericData.Record;
import org.apache.avro.generic.GenericRecord;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;

public class FlinkBroadcast {
    public static void main(String[] args) throws Exception {

        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(2);

        List<String> controlMessageList = new ArrayList<String>();
        controlMessageList.add("controlMessage1");
        controlMessageList.add("controlMessage2");

        List<String> dataMessageList = new ArrayList<String>();
        dataMessageList.add("Person1");
        dataMessageList.add("Person2");
        dataMessageList.add("Person3");
        dataMessageList.add("Person4");

        DataStream<String> controlMessageStream  = env.fromCollection(controlMessageList);
        DataStream<String> dataMessageStream  = env.fromCollection(dataMessageList);

        DataStream<GenericRecord> controlMessageGenericRecordStream = controlMessageStream.map(new MapFunction<String, GenericRecord>() {
            @Override
            public GenericRecord map(String value) throws Exception {
                 Record gr = new GenericData.Record(new Schema.Parser().parse(new File("src/main/resources/controlMessageSchema.avsc")));
                 gr.put("TYPE", value);
                 return gr;
            }
        });

        DataStream<GenericRecord> dataMessageGenericRecordStream = dataMessageStream.map(new MapFunction<String, GenericRecord>() {
            @Override
            public GenericRecord map(String value) throws Exception {
                 Record gr = new GenericData.Record(new Schema.Parser().parse(new File("src/main/resources/dataMessageSchema.avsc")));
                 gr.put("FIRSTNAME", value);
                 gr.put("LASTNAME", value+": lastname");
                 return gr;
            }
        });

        //Displaying Generic records
        dataMessageGenericRecordStream.map(new MapFunction<GenericRecord, GenericRecord>() {
            @Override
            public GenericRecord map(GenericRecord value) throws Exception {
                System.out.println("data before union: "+ value);
                return value;
            }
        });

        controlMessageGenericRecordStream.broadcast().union(dataMessageGenericRecordStream).map(new MapFunction<GenericRecord, GenericRecord>() {
            @Override
            public GenericRecord map(GenericRecord value) throws Exception {
                System.out.println("data after union: " + value);
                return value;
            }
        });
        env.execute("stream");
    }
}

输出：

05/09/2016 13:02:13 Map(2/2) switched to FINISHED 
data after union: {"TYPE": "controlMessage1"}
data before union: {"FIRSTNAME": "Person2", "LASTNAME": "Person2: lastname"}
data after union: {"TYPE": "controlMessage1"}
data before union: {"FIRSTNAME": "Person1", "LASTNAME": "Person1: lastname"}
data after union: {"TYPE": "controlMessage2"}
data after union: {"TYPE": "controlMessage2"}
data after union: {"FIRSTNAME": "Person1", "LASTNAME": "Person1"}
data before union: {"FIRSTNAME": "Person4", "LASTNAME": "Person4: lastname"}
data before union: {"FIRSTNAME": "Person3", "LASTNAME": "Person3: lastname"}
data after union: {"FIRSTNAME": "Person2", "LASTNAME": "Person2"}
data after union: {"FIRSTNAME": "Person3", "LASTNAME": "Person3"}
05/09/2016 13:02:13 Map -> Map(2/2) switched to FINISHED 
data after union: {"FIRSTNAME": "Person4", "LASTNAME": "Person4"}
05/09/2016 13:02:13 Map -> Map(1/2) switched to FINISHED 
05/09/2016 13:02:13 Map(1/2) switched to FINISHED 
05/09/2016 13:02:13 Map(2/2) switched to FINISHED 
05/09/2016 13:02:13 Job execution switched to status FINISHED.

正如您所看到的，datamessagegenericrecordstream中的记录在联合之后是不正确的。所有字段值都将被第一个字段值替换。

apache-flink flink-streaming flink-cep

来源：https://stackoverflow.com/questions/37115618/apache-flink-union-operator-giving-wrong-response

2条答案

按热度按时间

ebdffaop1#

我在datasetapi中也遇到了类似的问题。我读了一些avro文件作为通用记录，看到了这种奇怪的行为。我使用了这个解决方法-我没有将它们作为genericords读取，而是将它们作为特定记录（例如myavroobject）读取，然后使用Map将它们转换/类型转换为genericords。
我编写了一些代码来使用DataSeteAPI测试您的用例，它与上面的解决方法一起工作-

public static void maintest(String[] args) throws Exception {
    ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
    env.setParallelism(2);

    List<String> queryList1 = new ArrayList<String>();
    queryList1.add("query1");
    queryList1.add("query2");

    List<String> queryList2 = new ArrayList<String>();
    queryList2.add("QUERY1");
    queryList2.add("QUERY2");
    queryList2.add("QUERY3");
    queryList2.add("QUERY4");

    DataSet<String> dataset1  = env.fromCollection(queryList1);
    DataSet<String> dataset2  = env.fromCollection(queryList2);

    DataSet<GenericRecord> genericDS1 = dataset1.map(new MapFunction<String, GenericRecord>() {
        @Override
        public GenericRecord map(String value) throws Exception {
            Query query = Query.newBuilder().setQuery(value).build();
            return (GenericRecord) query;
        }
    });

    DataSet<GenericRecord> genericDS2 = dataset2.map(new MapFunction<String, GenericRecord>() {
        @Override
        public GenericRecord map(String value) throws Exception {
            SearchEngineQuery searchEngineQuery = SearchEngineQuery.newBuilder().setSeQuery(value).build();
            return (GenericRecord) searchEngineQuery;
        }
    });

    genericDS2.map(new MapFunction<GenericRecord, GenericRecord>() {
        @Override
        public GenericRecord map(GenericRecord value) throws Exception {
            System.out.println("DEBUG: data before union: " + value);
            return value;
        }
    });

    genericDS1.union(genericDS2).map(new MapFunction<GenericRecord, GenericRecord>() {
        @Override
        public GenericRecord map(GenericRecord value) throws Exception {
            System.out.println("DEBUG: data after union: " + value);
            return value;
        }
    }).print();
}

其中query和searchengine query是我的avro对象（类似于控制消息列表和数据消息列表）。
输出：

{"query": "query1"}
{"se_query": "QUERY1"}
{"se_query": "QUERY3"}
{"query": "query2"}
{"se_query": "QUERY2"}
{"se_query": "QUERY4"}

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ru9i0ody2#

我花了几天的时间来研究另一个问题（但仍然涉及genericord），并找到了根本原因和解决方案。
根本原因：在apacheavro“schema.class”中，“field”位置是暂时的，不能被kryo序列化，因此在flink管道中反序列化时会被初始化为位置“0”。
见jira avro-1476，其中描述了这一点，并特别提到了kyro序列化。
这是在avro 1.7.7中修复的
解决方案：flink必须使用avro1.7.7（或更高版本）。我已经在本地机器上通过替换flink-dist_2.11-1.1.3.jar中的avro类验证了这个修复，它纠正了我的问题。
我更新了jira的问题：https://issues.apache.org/jira/browse/flink-5039
现在有一个公关：https://github.com/apache/flink/pull/2953
我希望它会包含在Flink1.1.4和1.2.0版本中。

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flink联合运算符给出错误响应

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