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[英]Consume kafka topic JSON data to postgres using JDBC connector
[英]Push Data from Kafka Topic to PostgreSQL in JSON
更新后報錯
[2019-07-29 12:52:23,301] INFO Initializing writer using SQL dialect: PostgreSqlDatabaseDialect (io.confluent.connect.jdbc.sink.JdbcSinkTask:57)
[2019-07-29 12:52:23,303] INFO WorkerSinkTask{id=sink-postgres-0} Sink task finished initialization and start (org.apache.kafka.connect.runtime.WorkerSinkTask:301)
[2019-07-29 12:52:23,367] WARN [Consumer clientId=consumer-1, groupId=connect-sink-postgres] Error while fetching metadata with correlation id 2 : {kafkadad=LEADER_NOT_AVAILABLE} (org.apache.kafka.clients.NetworkClient:1023)
[2019-07-29 12:52:23,368] INFO Cluster ID: _gRuX5-0SUu72wzy6PV0Ag (org.apache.kafka.clients.Metadata:365)
[2019-07-29 12:52:23,369] INFO [Consumer clientId=consumer-1, groupId=connect-sink-postgres] Discovered group coordinator INTRIVMPIOT01.xpetize.local:9092 (id: 2147483647 rack: null) (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:675)
[2019-07-29 12:52:23,372] INFO [Consumer clientId=consumer-1, groupId=connect-sink-postgres] Revoking previously assigned partitions [] (org.apache.kafka.clients.consumer.internals.ConsumerCoordinator:459)
[2019-07-29 12:52:23,373] INFO [Consumer clientId=consumer-1, groupId=connect-sink-postgres] (Re-)joining group (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:491)
[2019-07-29 12:52:23,383] INFO [Consumer clientId=consumer-1, groupId=connect-sink-postgres] (Re-)joining group (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:491)
[2019-07-29 12:52:23,482] INFO [Consumer clientId=consumer-1, groupId=connect-sink-postgres] Successfully joined group with generation 1 (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:455)
[2019-07-29 12:52:23,486] INFO [Consumer clientId=consumer-1, groupId=connect-sink-postgres] Setting newly assigned partitions: kafkadad-0 (org.apache.kafka.clients.consumer.internals.ConsumerCoordinator:290)
[2019-07-29 12:52:23,501] INFO [Consumer clientId=consumer-1, groupId=connect-sink-postgres] Resetting offset for partition kafkadad-0 to offset 0. (org.apache.kafka.clients.consumer.internals.Fetcher:584)
[2019-07-29 12:52:35,338] ERROR WorkerSinkTask{id=sink-postgres-0} Task threw an uncaught and unrecoverable exception (org.apache.kafka.connect.runtime.WorkerTask:177)
org.apache.kafka.connect.errors.ConnectException: Tolerance exceeded in error handler
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:178)
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execute(RetryWithToleranceOperator.java:104)
at org.apache.kafka.connect.runtime.WorkerSinkTask.convertAndTransformRecord(WorkerSinkTask.java:487)
at org.apache.kafka.connect.runtime.WorkerSinkTask.convertMessages(WorkerSinkTask.java:464)
at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:320)
at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:224)
at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:192)
at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:175)
at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:219)
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)
Caused by: java.lang.NullPointerException
at org.apache.kafka.connect.json.JsonConverter.convertToConnect(JsonConverter.java:701)
at org.apache.kafka.connect.json.JsonConverter.access$000(JsonConverter.java:61)
at org.apache.kafka.connect.json.JsonConverter$12.convert(JsonConverter.java:181)
at org.apache.kafka.connect.json.JsonConverter.convertToConnect(JsonConverter.java:745)
at org.apache.kafka.connect.json.JsonConverter.toConnectData(JsonConverter.java:363)
at org.apache.kafka.connect.runtime.WorkerSinkTask.lambda$convertAndTransformRecord$1(WorkerSinkTask.java:487)
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndRetry(RetryWithToleranceOperator.java:128)
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:162)
... 13 more
[2019-07-29 12:52:35,347] ERROR WorkerSinkTask{id=sink-postgres-0} Task is being killed and will not recover until manually restarted (org.apache.kafka.connect.runtime.WorkerTask:178)
[2019-07-29 12:52:35,347] INFO Stopping task (io.confluent.connect.jdbc.sink.JdbcSinkTask:105)
[2019-07-29 12:52:35,349] INFO [Consumer clientId=consumer-1, groupId=connect-sink-postgres] Member consumer-1-bdbc7035-7625-4701-9ca7-c1ffa6863456 sending LeaveGroup request to coordinator INTRIVMPIOT01.xpetize.local:9092 (id: 2147483647 rack: null) (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:822)
connect-standalone.properties 文件
bootstrap.servers=localhost:9092
key.converter=org.apache.kafka.connect.json.JsonConverter
value.converter=org.apache.kafka.connect.json.JsonConverter
key.converter.schemas.enable=false
value.converter.schemas.enable=true
offset.storage.file.filename=/tmp/connect.offsets
offset.flush.interval.ms=10000
plugin.path=/home/kafka/confluent-5.2.1/share/java
連接 post.properties 文件
name=sink-postgres
connector.class=io.confluent.connect.jdbc.JdbcSinkConnector
tasks.max=2
topics=kafkada
connection.url=jdbc:postgresql://localhost:5432/kafkadb?
user=postgres&password=postgres
insert.mode=upsert
table.name.format=kafkatable
pk.mode=none
pk.fields=none
auto.create=true
auto.evolve=false
offset.storage.file.filename=/tmp/post-sink.offsets
上述錯誤是我通過 apache kafka 執行 ./bin/connect-standalone.sh config/connect-standalone.properties config.postgresql.properties 時引起的。
然后,我嘗試並實現了此鏈接中提到的流程:
但是,這里的數據是使用 avro 從 Python 代碼生成的。 但就我而言,我已經有來自 kafka 主題中的傳感器(JSON 格式)的數據,我想將其發送到 postgreSQL,而不是通過代碼生成數據。
那么,我怎樣才能實現這種從 kafka 主題向 postgreSQL 發送數據的流程。
我已經共享了我的屬性文件 如果需要更正,請告訴我。 我正在發送簡單的 json 數據,如 "{"cust_id": 1313131, "month": 12, "expenses": 1313.13}" 我也嘗試發送此類數據,但仍然存在錯誤
示例 json 數據
{
"schema": {
"type": "struct",
"fields": [
{
"type": "int32",
"optional": false,
"field": "customer_id"
},
{
"type": "int32",
"optional": true,
"field": "month"
},
{
"type": "string",
"optional": true,
"field": "amount_paid"
}
],
"optional": false,
"name": "msgschema"
},
"payload": {
"cust_id": 13,
"month": 12,
"expenses": 1313.13
}
}
我有一個名為 kafkatable 的表,它的列名稱為 (customer_id, month, amount_paid) 使用創建
“創建表kafkatable(customer_id int8,月份int4,amount_paid decimal(9,2));”
我通過進行以下更改解決了這個錯誤
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