將主題數據從 Java 生產者下沉到 Mongodb

Question

我使用 java 生成數據並將其下沉到 Kafka 主題，之后我希望這些數據下沉到 MongoDB。 當我通過 JAVA 將數據作為 JSON 發送時，由於此錯誤，它不會存儲到 MongoDB 中。

[2020-08-15 18:42:19,164] ERROR WorkerSinkTask{id=Kafka_ops-0} Task threw an uncaught and unrecoverable exception. Task is being killed and will not recover until manually restarted. Error: JSON reader was expecting a value but found 'siqdj'. (org.apache.kafka.connect.runtime.WorkerSinkTask)
org.bson.json.JsonParseException: JSON reader was expecting a value but found 'siqdj'.
        at org.bson.json.JsonReader.readBsonType(JsonReader.java:270)
        at org.bson.AbstractBsonReader.verifyBSONType(AbstractBsonReader.java:680)
        at org.bson.AbstractBsonReader.checkPreconditions(AbstractBsonReader.java:722)
        at org.bson.AbstractBsonReader.readStartDocument(AbstractBsonReader.java:450)
        at org.bson.codecs.BsonDocumentCodec.decode(BsonDocumentCodec.java:81)
        at org.bson.BsonDocument.parse(BsonDocument.java:62)
        at com.mongodb.kafka.connect.sink.converter.JsonRawStringRecordConverter.convert(JsonRawStringRecordConverter.java:34)
        at com.mongodb.kafka.connect.sink.converter.SinkConverter.convert(SinkConverter.java:44)
        at com.mongodb.kafka.connect.sink.MongoSinkTask.lambda$buildWriteModel$6(MongoSinkTask.java:229)
        at java.util.ArrayList.forEach(Unknown Source)
        at com.mongodb.kafka.connect.sink.MongoSinkTask.buildWriteModel(MongoSinkTask.java:228)
        at com.mongodb.kafka.connect.sink.MongoSinkTask.processSinkRecords(MongoSinkTask.java:169)
        at com.mongodb.kafka.connect.sink.MongoSinkTask.lambda$put$2(MongoSinkTask.java:117)
        at java.util.ArrayList.forEach(Unknown Source)
        at com.mongodb.kafka.connect.sink.MongoSinkTask.lambda$put$3(MongoSinkTask.java:116)
        at java.util.HashMap.forEach(Unknown Source)
        at com.mongodb.kafka.connect.sink.MongoSinkTask.put(MongoSinkTask.java:114)
        at org.apache.kafka.connect.runtime.WorkerSinkTask.deliverMessages(WorkerSinkTask.java:560)
        at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:323)
        at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:226)
        at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:198)
        at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:185)
        at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:235)
        at java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source)
        at java.util.concurrent.FutureTask.run(Unknown Source)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
        at java.lang.Thread.run(Unknown Source)
[2020-08-15 18:42:19,166] ERROR WorkerSinkTask{id=Kafka_ops-0} Task threw an uncaught and unrecoverable exception (org.apache.kafka.connect.runtime.WorkerTask)
org.apache.kafka.connect.errors.ConnectException: Exiting WorkerSinkTask due to unrecoverable exception.
        at org.apache.kafka.connect.runtime.WorkerSinkTask.deliverMessages(WorkerSinkTask.java:588)
        at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:323)
        at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:226)
        at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:198)
        at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:185)
        at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:235)
        at java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source)
        at java.util.concurrent.FutureTask.run(Unknown Source)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
        at java.lang.Thread.run(Unknown Source)
Caused by: org.bson.json.JsonParseException: JSON reader was expecting a value but found 'siqdj'.
        at org.bson.json.JsonReader.readBsonType(JsonReader.java:270)
        at org.bson.AbstractBsonReader.verifyBSONType(AbstractBsonReader.java:680)
        at org.bson.AbstractBsonReader.checkPreconditions(AbstractBsonReader.java:722)
        at org.bson.AbstractBsonReader.readStartDocument(AbstractBsonReader.java:450)
        at org.bson.codecs.BsonDocumentCodec.decode(BsonDocumentCodec.java:81)
        at org.bson.BsonDocument.parse(BsonDocument.java:62)
        at com.mongodb.kafka.connect.sink.converter.JsonRawStringRecordConverter.convert(JsonRawStringRecordConverter.java:34)
        at com.mongodb.kafka.connect.sink.converter.SinkConverter.convert(SinkConverter.java:44)
        at com.mongodb.kafka.connect.sink.MongoSinkTask.lambda$buildWriteModel$6(MongoSinkTask.java:229)
        at java.util.ArrayList.forEach(Unknown Source)
        at com.mongodb.kafka.connect.sink.MongoSinkTask.buildWriteModel(MongoSinkTask.java:228)
        at com.mongodb.kafka.connect.sink.MongoSinkTask.processSinkRecords(MongoSinkTask.java:169)
        at com.mongodb.kafka.connect.sink.MongoSinkTask.lambda$put$2(MongoSinkTask.java:117)
        at java.util.ArrayList.forEach(Unknown Source)
        at com.mongodb.kafka.connect.sink.MongoSinkTask.lambda$put$3(MongoSinkTask.java:116)
        at java.util.HashMap.forEach(Unknown Source)
        at com.mongodb.kafka.connect.sink.MongoSinkTask.put(MongoSinkTask.java:114)
        at org.apache.kafka.connect.runtime.WorkerSinkTask.deliverMessages(WorkerSinkTask.java:560)
        ... 10 more

這是我通過 Kafka 消費者中的 java 程序發送的數據。

{"name":"This is a test","dept":"siqdj","studentId":1}
{"name":"This is another","dept":"siqdj","studentId":2}

每行代表一條記錄

這是我的配置文件

連接-standalone.properties

bootstrap.servers=localhost:9092

# The converters specify the format of data in Kafka and how to translate it into Connect data. Every Connect user will
# need to configure these based on the format they want their data in when loaded from or stored into Kafka
key.converter=org.apache.kafka.connect.storage.StringConverter
value.converter=org.apache.kafka.connect.json.JsonConverter
# Converter-specific settings can be passed in by prefixing the Converter's setting with the converter we want to apply
# it to
key.converter.schemas.enable=false
value.converter.schemas.enable=false

offset.storage.file.filename=/tmp/connect.offsets
# Flush much faster than normal, which is useful for testing/debugging
offset.flush.interval.ms=10000
plugin.path=/plugins

MongoSinkConnector.properties

name=Kafka_ops
connector.class=com.mongodb.kafka.connect.MongoSinkConnector
tasks.max=1
topics=TestTopic4
connection.uri=mongodb://mongo1:27017,mongo2:27017,mongo3:27017
database=student_kafka
collection=students
key.converter=org.apache.kafka.connect.storage.StringConverter
key.converter.schemas.enable=false
value.converter=org.apache.kafka.connect.json.JsonConverter
value.converter.schemas.enable=false

Answer 1

Tariq - 我不是這個話題的專家。 但是我已經用 JDBC 接收器適配器和 Oracle 數據庫嘗試了類似的事情。

您發送到該主題的數據格式對我來說似乎不正確。 因此，您可能會收到錯誤消息。 由於您使用的是 JsonConverter，因此主題中的每一行都應采用以下格式，以便接收器適配器解析和寫入數據存儲。 目前，您的數據在有效負載中沒有架構。 因此錯誤。

請將以下內容傳遞給主題，看看它是否下沉到 MongoDB。

{
    "schema": {
        "type": "struct",
        "fields": [
            {
                "type": "string",
                "optional": false,
                "field": "name"
            },
            {
                "type": "string",
                "optional": true,
                "field": "dept"
            },
            {
                "type": "int64",
                "optional": true,
                "field": "studentId"
            }
        ],
        "optional": false,
        "name": "YOUR_TABLE_NAME"
    },
    "payload": {
        "name": "This is a test",
        "dept": "siqdj",
        "studentId": 1
    }
}