我是kafka和ksql的新手，我在kafka中有2个测试主题。
1个用户
{"schema":{"type":"struct","fields":[{"type":"string","optional":true,"field":"role"},{"type":"string","optional":true,"field":"status"},{"type":"boolean","optional":true,"field":"isPhoneVerified"},{"type":"array","items":{"type":"string","optional":true},"optional":true,"field":"personalDocuments"},{"type":"string","optional":true,"field":"email"},{"type":"string","optional":true,"field":"firstName"},{"type":"string","optional":true,"field":"lastName"},{"type":"string","optional":true,"field":"phoneNumber"},{"type":"string","optional":true,"field":"password"},{"type":"string","optional":true,"field":"pushToken"},{"type":"string","optional":false,"field":"created_at"},{"type":"string","optional":false,"field":"updated_at"},{"type":"int32","optional":true,"field":"__v"},{"type":"string","optional":true,"field":"verifyPhoneCode"},{"type":"string","optional":true,"field":"id"}],"optional":false,"name":"mongo_conn.digi.users"},"payload":{"role":"client","status":"active","isPhoneVerified":true,"personalDocuments":[],"email":"test@gmail.com","firstName":"test","lastName":"tifokaada","phoneNumber":"+99999999","password":"$2a$10kjjdytdLj77Wh2bvYuEJdh5lOZfI2wWQutzefwJ8EecabatPW","pushToken":"null","created_at":"2019-07-08 11:09:16 +0000","updated_at":"2019-07-08 14:23:57 +0000","__v":0,"verifyPhoneCode":null,"id":"5d23245c1b4bfb79141e43ce"}}__ v“：0，” verifyPhoneCode“：null，” id“：” 5d23245c1b4bfb79141e43ce“}}
2-笔交易
{"schema":{"type":"struct","fields":[{"type":"string","optional":true,"field":"sender"},{"type":"string","optional":true,"field":"receiver"},{"type":"string","optional":true,"field":"receiverWalletId"},{"type":"string","optional":true,"field":"status"},{"type":"string","optional":true,"field":"type"},{"type":"int32","optional":true,"field":"amount"},{"type":"int32","optional":true,"field":"totalFee"},{"type":"string","optional":false,"field":"createdAt"},{"type":"string","optional":false,"field":"updatedAt"},{"type":"int32","optional":true,"field":"__v"},{"type":"string","optional":true,"field":"from"},{"type":"string","optional":true,"field":"orderId"},{"type":"string","optional":true,"field":"txId"},{"type":"string","optional":true,"field":"id"}],"optional":false,"name":"mongo_conn.digi.transactions"},"payload":{"sender":"5d20872531ad805fd8a6c88a","receiver":"5d20872531ad805fd8a6c88a","receiverWalletId":"5d20872531ad805fd8a6c88b","status":"success","type":"cashout","amount":50000,"totalFee":0,"createdAt":"2019-07-08 12:34:44 +0000","updatedAt":"2019-07-08 12:35:35 +0000","__v":0,"from":"smt","orderId":"1656b3c6-971a-715d-8e41-d8bc00a43714","txId":"2b35c8e823e3e7fcfa914432bf33ae36bb51b7412393b4ad4c8cde97481147b8","id":"5d234cbee69b5a16cad17535"}}
我想将交易和用户都集中在一个主题中以进行进一步分析，我想将transactions.payload.reciever与users.payload.id合并在一起，以便最终可以将与用户信息嵌套在transactions.payload.reciever中的交易， 那可能吗 ？我在想这样的事情。
ksql> CREATE TABLE users (id VARCHAR, firstName VARCHAR, lastName VARCHAR, email VARCHAR, created_at VARCHAR , updated_at VARCHAR) WITH (KAFKA_TOPIC='mongo_conn.digi.users', VALUE_FORMAT='JSON', KEY=’id’);
ksql> CREATE STREAM transactions (reciever VARCHAR, sender VARCHAR, createdAt VARCHAR, amount int32, type VARCHAR) WITH (KAFKA_TOPIC= 'transactions', VALUE_FORMAT='JSON');
ksql> CREATE TABLE finaltopic WITH (VALUE_FORMAT='JSON') AS SELECT firstName, lastName, created_at FROM users LEFT JOIN transactions a ON users.id = transactions.id;
我也想知道即使我设法弄乱了我的数据，我是否需要一个ksql连接器将我的数据下沉到elasticsearch还是继续使用kafka输入，我知道上面的代码是错误的，我只想获取一个想法或这样做的例子。