Kafka Connect JDBC 接收器连接器不起作用

Question

我正在尝试使用 Kafka Connect JDBC 接收器连接器将数据插入 Oracle，但它会引发错误。我已经尝试了架构的所有可能配置。下面是例子。

如果我缺少以下任何内容，请建议我的配置文件和错误。

案例 1- 第一次配置

internal.value.converter.schemas.enable=false .

所以我得到了

[2017-08-28 16:16:26,119] INFO Sink task WorkerSinkTask{id=oracle_sink-0} finished initialization and start (org.apache.kafka.connect.runtime.WorkerSinkTask:233)

[2017-08-28 16:16:26,606] INFO Discovered coordinator dfw-appblx097-01.prod.walmart.com:9092 (id: 2147483647 rack: null) for group connect-oracle_sink. (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:597)

[2017-08-28 16:16:26,608] INFO Revoking previously assigned partitions [] for group connect-oracle_sink (org.apache.kafka.clients.consumer.internals.ConsumerCoordinator:419)

[2017-08-28 16:16:26,609] INFO (Re-)joining group connect-oracle_sink (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:432)

[2017-08-28 16:16:27,174] INFO Successfully joined group connect-oracle_sink with generation 26 (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:399)

[2017-08-28 16:16:27,176] INFO Setting newly assigned partitions [DJ-7, DJ-6, DJ-5, DJ-4, DJ-3, DJ-2, DJ-1, DJ-0, DJ-9, DJ-8] for group connect-oracle_sink (org.apache.kafka.clients.consumer.internals.ConsumerCoordinator:262)

[2017-08-28 16:16:28,580] ERROR Task oracle_sink-0 threw an uncaught and unrecoverable exception (org.apache.kafka.connect.runtime.WorkerSinkTask:455)

org.apache.kafka.connect.errors.ConnectException: No fields found using key and value schemas for table: DJ

   at io.confluent.connect.jdbc.sink.metadata.FieldsMetadata.extract(FieldsMetadata.java:190)

   at io.confluent.connect.jdbc.sink.metadata.FieldsMetadata.extract(FieldsMetadata.java:58)

   at io.confluent.connect.jdbc.sink.BufferedRecords.add(BufferedRecords.java:65)

   at io.confluent.connect.jdbc.sink.JdbcDbWriter.write(JdbcDbWriter.java:62)

   at io.confluent.connect.jdbc.sink.JdbcSinkTask.put(JdbcSinkTask.java:66)

   at org.apache.kafka.connect.runtime.WorkerSinkTask.deliverMessages(WorkerSinkTask.java:435)

   at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:251)

   at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:180)

   at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:148)

   at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:146)

   at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:190)

   at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)

   at java.util.concurrent.FutureTask.run(FutureTask.java:266)

   at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)

   at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)

   at java.lang.Thread.run(Thread.java:748)

第二次配置 -

internal.key.converter.schemas.enable=true

internal.value.converter.schemas.enable=true

日志：

[2017-08-28 16:23:50,993] INFO Revoking previously assigned partitions [] for group connect-oracle_sink (org.apache.kafka.clients.consumer.internals.ConsumerCoordinator:419)

[2017-08-28 16:23:50,993] INFO (Re-)joining group connect-oracle_sink (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:432)

[2017-08-28 16:23:51,260] INFO (Re-)joining group connect-oracle_sink (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:432)

[2017-08-28 16:23:51,381] INFO Successfully joined group connect-oracle_sink with generation 29 (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:399)

[2017-08-28 16:23:51,384] INFO Setting newly assigned partitions [DJ-7, DJ-6, DJ-5, DJ-4, DJ-3, DJ-2, DJ-1, DJ-0, DJ-9, DJ-8] for group connect-oracle_sink (org.apache.kafka.clients.consumer.internals.ConsumerCoordinator:262)

[2017-08-28 16:23:51,727] ERROR Task oracle_sink-0 threw an uncaught and unrecoverable exception (org.apache.kafka.connect.runtime.WorkerTask:148)

org.apache.kafka.connect.errors.DataException: JsonConverter with schemas.enable requires "schema" and "payload" fields and may not contain additional fields. If you are trying to deserialize plain JSON data, set schemas.enable=false in your converter configuration.

   at org.apache.kafka.connect.json.JsonConverter.toConnectData(JsonConverter.java:308)

Oracle connector.properties 看起来像

name=oracle_sink

connector.class=io.confluent.connect.jdbc.JdbcSinkConnector

tasks.max=1

topics=DJ

connection.url=jdbc:oracle:thin:@hostname:port:sid

connection.user=username

connection.password=password

#key.converter=org.apache.kafka.connect.json.JsonConverter

#value.converter=org.apache.kafka.connect.json.JsonConverter

auto.create=true

auto.evolve=true

Connect-Standalone.properties

我的 JSON 看起来像 -

{"Item":"12","Sourcing Reason":"corr","Postal Code":"l45","OrderNum":"10023","Intended Node Distance":1125.8,"Chosen Node":"34556","Quantity":1,"Order Date":1503808765201,"Intended Node":"001","Chosen Node Distance":315.8,"Sourcing Logic":"reducesplits"}

Answer 1

每the documentation

接收器连接器需要架构知识，因此您应该使用合适的转换器，例如架构注册表附带的 Avro 转换器，或启用了架构的 JSON 转换器。

因此，如果您的数据是 JSON，您将具有以下配置：

[...]
"value.converter": "org.apache.kafka.connect.json.JsonConverter",
"value.converter.schemas.enable": "true",
[...]

您在第二个实例中看到的错误是相关的 - JsonConverter with schemas.enable requires "schema" and "payload" fields - 您共享的 JSON 不符合此要求的格式。

下面是一个简单的带有schema 和payload 的有效JSON 消息示例：

{
    "schema": {
        "type": "struct",
        "fields": [{
            "type": "int32",
            "optional": true,
            "field": "c1"
        }, {
            "type": "string",
            "optional": true,
            "field": "c2"
        }, {
            "type": "int64",
            "optional": false,
            "name": "org.apache.kafka.connect.data.Timestamp",
            "version": 1,
            "field": "create_ts"
        }, {
            "type": "int64",
            "optional": false,
            "name": "org.apache.kafka.connect.data.Timestamp",
            "version": 1,
            "field": "update_ts"
        }],
        "optional": false,
        "name": "foobar"
    },
    "payload": {
        "c1": 10000,
        "c2": "bar",
        "create_ts": 1501834166000,
        "update_ts": 1501834166000
    }
}

您尝试登陆 Oracle 的数据的来源是什么？如果是 Kafka Connect 入站，那么您只需使用相同的 converter 配置（Avro + Confluent Schema Registry）会更容易、更高效。如果它是一个自定义应用程序，您需要让它 (a) 使用 Confluent Avro 序列化器或 (b) 以上述所需格式编写 JSON，提供与消息内联的有效负载架构。

Answer 2

读完这篇文章后，我也遇到了同样的问题。我已经用 JDBC Sink MySQL 解决了 在我的 Kafka Connect 配置下方，作为附加信息：

curl --location --request POST 'http://localhost:8083/connectors/' \
--header 'Accept: application/json' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "jdbc-sink",
    "config": {
        "connector.class": "io.confluent.connect.jdbc.JdbcSinkConnector",
        "tasks.max": "1",
        "topics": "ttib-transactions",
        "connection.url": "jdbc:mysql://172.17.0.1:6603/tt-tran?verifyServerCertificate=true&useSSL=false",
        "connection.user": "root",
        "connection.password": "*******",
        "value.converter.schema.registry.url": "https://psrc-j55zm.us-central1.gcp.confluent.cloud",
        "value.converter": "org.apache.kafka.connect.json.JsonConverter",
        "value.converter.schemas.enable": "true",
        "key.converter": "org.apache.kafka.connect.storage.StringConverter",
        "key.converter.schemas.enable": "false",
        "insert.mode": "insert",
        "batch.size":"0",
        "table.name.format": "${topic}",
        "pk.fields" :"id"
    }
}'