Kafka-Connect For MSSQL 无效值 java.sql.SQLException：找不到适合配置的驱动程序

Question

I am trying to connect kafka-connect to my local mssql with localhost:3030 I am receiving this error when I try to make a new connection for mssql. in centos 7(linux). Mssql data is from an external IP(windows), my consumer is inside of linux environment.

"No suitable driver found for configuration".

connect-distributed.properties is shown below;

plugin.path=/usr/local/share/java,/usr/local/share/kafka/plugins,/opt/connectors,

I added "ojdbc7-12.1.0.2.jar" file under /opt/connectors/kafka-connect-jdbc/ but still I am receiving error messages. I dont know what is wrong.

Also my connect-console-source.properties

name=source-sqlserver-user
connector.class=io.confluent.connect.jdbc.JdbcSourceConnector
tasks.max=1
topic.prefix=my-timestamp
connection.url=jdbc:sqlserver://externalIP;database=database;username=username;password=password

version: '2'

services:
  kafka-cluster:
    image: landoop/fast-data-dev:cp3.3.0
    environment:
      ADV_HOST: 127.0.0.1          
      RUNTESTS: 0                 
    ports:
      - 2181:2181                 # Zookeeper
      - 3030:3030                 # Landoop UI
      - 8081-8083:8081-8083       # REST Proxy, Schema Registry, Kafka Connect ports
      - 9581-9585:9581-9585       # JMX Ports
      - 9092:9092                 # Kafka Broker

Answer 1

ojdbc7-12.1.0.2.jar is the JDBC driver for Oracle.

For MS SQL you need the MS SQL JDBC driver

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Edit: Since you're using Docker to run Kafka Connect, you need to make the JDBC JAR file available to the Kafka Connect worker before it runs. You can't just run the Docker container and copy the JDBC driver into it, because you need to restart Kafka Connect afterwards.

To workaround this, you can mount the JAR from your local machine to the relevant path in the container. The relevant path is whereever the Kafka Connect JDBC jar is. Looking at the fast-data-dev image it's in

root@fast-data-dev / $ ls -l /opt/confluent-3.3.0/share/java/kafka-connect-jdbc
total 6544
-rw-r--r-- 1 root root  133842 Jul 28  2017 kafka-connect-jdbc-3.3.0.jar
-rw-r--r-- 1 root root  658466 Jul 28  2017 postgresql-9.4-1206-jdbc41.jar
-rw-r--r-- 1 root root 5575351 Jul 28  2017 sqlite-jdbc-3.8.11.2.jar

So you can run

docker run --rm --net=host --volume ~/Downloads/mssql-jdbc-7.4.1.jre8.jar:/opt/confluent-3.3.0/share/java/kafka-connect-jdbc/mssql-jdbc-7.4.1.jre8.jar landoop/fast-data-dev:cp3.3.0

or mount it in your Docker Compose with a volumes config:

version: '2'

services:
  kafka-cluster:
    image: landoop/fast-data-dev:cp3.3.0
    environment:
      ADV_HOST: 127.0.0.1
      RUNTESTS: 0
    ports:
      - 2181:2181                 # Zookeeper
      - 3030:3030                 # Landoop UI
      - 8081-8083:8081-8083       # REST Proxy, Schema Registry, Kafka Connect ports
      - 9581-9585:9581-9585       # JMX Ports
      - 9092:9092                 # Kafka Broker
    volumes:
      - ~/Downloads/mssql-jdbc-7.4.1.jre8.jar:/opt/confluent-3.3.0/share/java/kafka-connect-jdbc/mssql-jdbc-7.4.1.jre8.jar

---

It's worth noting that Confluent Platform 3.3.0 is really old - the latest is 5.3.1. If you want to see an up-to-date example of running Kafka, Kafka Connect, SQL Server etc with JDBC driver automatically set up see this example here .