Json Mongodb debezium连接器将Rowkey填充为0（零），并将Key填充为0零，即使数据包含有效值

我在mongo db中加载了一个示例Json文件，该文件将使用debezium连接器发送给Kafka connect。我的问题是，即使原始json输入文件中有有效数据，RowKey和id key列值如何转换为0（零）？以下是产生此错误的步骤

步骤1：创建示例json文件

{"id":1,"first_name":"Devinne","last_name":"Stubbe","email":"dstubbe0@java.com","gender":"Female","club_status":"platinum","comments":"Extended interactive initiative"}
                    {"id":2,"first_name":"Loise","last_name":"Salt","email":"lsalt1@apple.com","gender":"Female","club_status":"silver","comments":"Optimized neutral standardization"}
                    {"id":3,"first_name":"Benjamen","last_name":"Spittle","email":"bspittle2@howstuffworks.com","gender":"Male","club_status":"platinum","comments":"De-engineered systemic customer loyalty"}
                    {"id":4,"first_name":"Helena","last_name":"Pogosian","email":"hpogosian3@pagesperso-orange.fr","gender":"Female","club_status":"gold","comments":"Phased hybrid definition"}
                    {"id":5,"first_name":"Miller","last_name":"Karolewski","email":"mkarolewski4@g.co","gender":"Male","club_status":"platinum","comments":"Monitored systematic software"}

在customerprofile集合的mongodb中加载此数据

rs0:PRIMARY> db.collection.find();
        rs0:PRIMARY> db.customerprofile.find();
        { "_id" : ObjectId("5b6213ba78aae5dc09ef8b5b"), "id" : 1, "first_name" : 
        "Devinne", "last_name" : "Stubbe", "email" : "dstubbe0@java.com", "gender" : 
       "Female", "club_st
       atus" : "platinum", "comments" : "Extended interactive initiative" }
       { "_id" : ObjectId("5b6213ba78aae5dc09ef8b5c"), "id" : 2, "first_name" : 
       "Loise", "last_name" : "Salt", "email" : "lsalt1@apple.com", "gender" : 
       "Female", "club_status"
        : "silver", "comments" : "Optimized neutral standardization" }
        { "_id" : ObjectId("5b6213ba78aae5dc09ef8b5d"), "id" : 3, "first_name" : 
        "Benjamen", "last_name" : "Spittle", "email" : "bspittle2@howstuffworks.com", 
        "gender" : "Male"
        , "club_status" : "platinum", "comments" : "De-engineered systemic customer 
        loyalty" }
        { "_id" : ObjectId("5b6213ba78aae5dc09ef8b5e"), "id" : 4, "first_name" : 
        "Helena", "last_name" : "Pogosian", "email" : "hpogosian3@pagesperso- 
       orange.fr", "gender" : "Fe
       male", "club_status" : "gold", "comments" : "Phased hybrid definition" }
       { "_id" : ObjectId("5b6213ba78aae5dc09ef8b5f"), "id" : 5, "first_name" : 
        "Miller", "last_name" : "Karolewski", "email" : "mkarolewski4@g.co", "gender"    
      : "Male", "club_status" : "platinum", "comments" : "Monitored systematic 
       software" }
       { "_id" : ObjectId("5b6213ba78aae5dc09ef8b60"), "id" : 6, "first_name" : 
       "Cammy", "last_name" : "Suche", "email" : "csuche5@cbsnews.com", "gender" : 
       "Male", "club_status" : "gold", "comments" : "Inverse client-server alliance" 
        }

步骤2：创建mongodb debezium连接器配置并激活连接器 在卡夫卡连接

{
  "name": "mongodb-jsondb-connector",
  "config":{
   "connector.class": "io.debezium.connector.mongodb.MongoDbConnector",
   "mongodb.hosts": "rs0/169.254.57.118:27017",
   "mongodb.name": "jsondb",
   "mongodb.members.auto.discover": "false",
   "database.whitelist": "jsondb",
    "transforms": "unwrap",
   "transforms.unwrap.type": 
 "io.debezium.connector.mongodb.transforms.UnwrapFromMongoDbEnvelope",
    "database.history.kafka.topic": "schema-changes.jsondb",
    "key.converter": "org.apache.kafka.connect.json.JsonConverter",
   "key.converter.schemas.enable": "false",
   "value.converter": "org.apache.kafka.connect.json.JsonConverter",
   "value.converter.schemas.enable": "false"
 }
}

步骤3：检查主题队列

  ksql> print 'jsondb.jsondb.customerprofile' from beginning;
   Format:JSON
   {"ROWTIME":1533154567091,"ROWKEY":" 

   CREATE STREAM customers_profile \
    (id integer, first_name string, last_name string, \
     email string, gender string, club_status string, \
    comments string) WITH \ 
    (KAFKA_TOPIC='jsondb.jsondb.customerprofile',VALUE_FORMAT='json'); 

正如您在下面的输出中所看到的，通过id列使用 客观的

 \"id\":\"5b6213ba78aae5dc09ef8b5b\"}","id":"5b6213ba78aae5dc09ef8b5b".  

****我的问题是，由于我们使用JSONConverter作为密钥转换器，我的id列如何用串行id密钥更新？***

 {\"id\":\"5b6213ba78aae5dc09ef8b5b\"}","id":"5b6213ba78aae5dc09ef8b5b","first_name":"Devinne","last_name":"Stubbe","email":"dstubbe0@java.com","gender":"Female","club_status":"platinum","comments":"Extended interactive initiative"}
    {"ROWTIME":1533154567096,"ROWKEY":" 

  {\"id\":\"5b6213ba78aae5dc09ef8b5c\"}","id":"5b6213ba78aae5dc09ef8b5c","first_name":"Loise","last_name":"Salt","email":"lsalt1@apple.com","gender":"Female","club_status":"silver","comments":"Optimized neutral standardization"}
    {"ROWTIME":1533154567096,"ROWKEY":" 

 {\"id\":\"5b6213ba78aae5dc09ef8b5d\"}","id":"5b6213ba78aae5dc09ef8b5d","first_name":"Benjamen","last_name":"Spittle","email":"bspittle2@howstuffworks.com","gender":"Male","club_status":"platinum","comments":"De-engineered systemic customer loyalty"}
{"ROWTIME":1533154567097,"ROWKEY":"{\"id\":\"5b6213ba78aae5dc09ef8b5e\"}","id":"5b6213ba78aae5dc09ef8b5e","first_name":"Helena","last_name":"Pogosian","email":"hpogosian3@pagesperso-orange.fr","gender":"Female","club_status":"gold","comments":"Phased hybrid definition"}
{"ROWTIME":1533154567097,"ROWKEY":"{\"id\":\"5b6213ba78aae5dc09ef8b5f\"}","id":"5b6213ba78aae5dc09ef8b5f","first_name":"Miller","last_name":"Karolewski","email":"mkarolewski4@g.co","gender":"Male","club_status":"platinum","comments":"Monitored systematic software"}
{"ROWTIME":1533154567099,"ROWKEY":"{\"id\":\"5b6213ba78aae5dc09ef8b60\"}","id":"5b6213ba78aae5dc09ef8b60","first_name":"Cammy","last_name":"Suche","email":"csuche5@cbsnews.com","gender":"Male","club_status":"gold","comments":"Inverse client-server alliance"}

步骤4：从主题队列创建流

  ksql> print 'jsondb.jsondb.customerprofile' from beginning;
   Format:JSON
   {"ROWTIME":1533154567091,"ROWKEY":" 

   CREATE STREAM customers_profile \
    (id integer, first_name string, last_name string, \
     email string, gender string, club_status string, \
    comments string) WITH \ 
    (KAFKA_TOPIC='jsondb.jsondb.customerprofile',VALUE_FORMAT='json'); 

步骤5：这是流从CUSTOMER_REPART接收零（0）的地方

ksql> CREATE STREAM customers_stream WITH 
 (KAFKA_TOPIC='CUSTOMERS_REPART',VALUE_FORMAT='json',PARTITIONS=1) as SELECT * 
 FROM customers_profile PARTITION BY id;   

步骤6：请检查此打印命令的输出，其中显示零 在ROWKEY和id key列值中。他们从哪里来的？我需要什么 要执行此操作，请确保ROWKEY和id key列显示来自原始数据的正确值 最初在mongodb中加载的json文件值

ksql> SET 'auto.offset.reset' = 'earliest';
        Successfully changed local property 'auto.offset.reset' from 'null' to 
        'earliest'
        ksql> print 'CUSTOMERS_REPART' from beginning;
        Format:JSON

{“ROWTIME”：1533154567091，“ROWKEY”：“0”，“俱乐部状态”：“白金”，“性别”：“女性”，“评论”：“扩展互动倡议”，“ID”：0，“姓氏”：“Stubbe”，“电子邮件”：“dstubbe0”@ {“ROWTIME”：1533154567096，“ROWKEY”：“0”，“俱乐部状态”：“银牌”，“性别”：“女性”，“评论”：“优化中性标准化”，“ID”：0，“姓氏”：“Salt”，“电子邮件”：lsalt1@appl {“ROWTIME”：1533154567096，“ROWKEY”：“0”，“俱乐部状态”：“白金”，“性别”：“男性”，“评论”：“非工程化系统客户忠诚度”，“ID”：0，“姓氏”：“Spitle”，“EMAIL”：“bs”：“Benjamen”} {“ROWTIME”：1533154567097，“ROWKEY”：“0”，“俱乐部状态”：“金牌”，“性别”：“女性”，“评论”：“分阶段混合定义”，“ID”：0，“姓氏”：“波戈森”，“电子邮件”：hpogosian3@pagespe {“ROWTIME”：1533154567097，“ROWKEY”：“0”，“俱乐部状态”：“白金”，“性别”：“男性”，“评论”：“监控系统软件”，“ID”：0，“姓氏”：“Karolewski”，“电子邮件”：“mkarolews” {“ROWTIME”：1533154567099，“ROWKEY”：“0”，“俱乐部状态”：“金牌”，“性别”：“男性”，“评论”：“反向客户端-服务器联盟”，“ID”：0，“姓氏”：“Suche”，“电子邮件”：csuche5@cbsnews.c {“ROWTIME”：1533154567104，“ROWKEY”：“0”，“俱乐部状态”：“白金”，“性别”：“男性”，“评论”：“分阶段统一软件”，“ID”：0，“姓氏”：“Suttling”，“电子邮件”：msuttling7@baidu.

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{“ROWTIME”：1533154567104，“ROWKEY”：“0”，“俱乐部状态”：“金牌”，“性别”：“女性”，“评论”：“注重质量的全球软件”，“ID”：0，“姓氏”：“Stepney”，“电子邮件”：estepney8@we关于你的第一个问题，我想你看到了

关于第二个问题，我认为问题是id integer，因为id现在包含字符串