kafka-connect-mqsource is a Kafka Connect source connector for copying data from IBM MQ into Apache Kafka.
The connector is supplied as source code which you can easily build into a JAR file.
To build the connector, you must have the following installed:
Download the MQ client JAR by following the instructions in Getting the IBM MQ classes for Java and JMS. Once you've accepted the license, download the IBM MQ JMS and Java redistributable client file (currently called 9.0.0.1-IBM-MQC-Redist-Java.zip). Unpack the ZIP file.
Clone the repository with the following command:
git clone https://github.com/ibm-messaging/kafka-connect-mq-source.gitChange directory into the kafka-connect-mq-source directory:
cd kafka-connect-mq-sourceCopy the JAR file com.ibm.mq.allclient.jar that you unpacked from the ZIP file earlier into the kafka-connect-mq-source directory.
Run the following command to create a local Maven repository containing just this file so that it can be used to build the connector:
mvn deploy:deploy-file -Durl=file://local-maven-repo -Dfile=com.ibm.mq.allclient.jar -DgroupId=com.ibm.mq -DartifactId=allclient -Dpackaging=jar -Dversion=9.0.0.1Build the connector using Maven:
mvn clean packageOnce built, the output is a single JAR called target/kafka-connect-mq-source-0.2-SNAPSHOT-jar-with-dependencies.jar which contains all of the required dependencies.
To run the connector, you must have:
- The JAR from building the connector
- A properties file containing the configuration for the connector
- Apache Kafka
- IBM MQ v8.0 or later
The connector can be run in a Kafka Connect worker in either standalone (single process) or distributed mode. It's a good idea to start in standalone mode.
You need two configuration files, one for the configuration that applies to all of the connectors such as the Kafka bootstrap servers, and another for the configuration specific to the MQ source connector such as the connection information for your queue manager. For the former, the Kafka distribution includes a file called connect-standalone.properties that you can use as a starting point. For the latter, you can use config/mq-source.properties in this repository.
The connector connects to MQ using a client connection. You must provide the name of the queue manager, the connection name (one or more host/port pairs) and the channel name. In addition, you can provide a user name and password if the queue manager is configured to require them for client connections. If you look at the supplied config/mq-sink.properties, you'll see how to specify the configuration required.
To run the connector in standalone mode from the directory into which you installed Apache Kafka, you use a command like this:
bin/connect-standalone.sh connect-standalone.properties mq-source.propertiesKafka Connect is very flexible but it's important to understand the way that it processes messages to end up with a reliable system. When the connector encounters a message that it cannot process, it stops rather than throwing the message away. Therefore, you need to make sure that the configuration you use can handle the messages the connector will process.
This is rather complicated and it's likely that a future update of the connector will simplify matters.
Each message in Kafka Connect is associated with a representation of the message format known as a schema. Each Kafka message actually has two parts, key and value, and each part has its own schema. The MQ source connector does not currently use message keys, but some of the configuration options use the word Value because they refer to the Kafka message value.
When the MQ source connector reads a message from MQ, it chooses a schema to represent the message format and creates an internal object called a record containing the message value. This conversion is performed using a record builder. Each record is then processed using a converter which creates the message that's published on a Kafka topic.
There are two record builders supplied with the connector, although you can write your own. The basic rule is that if you just want the message to be passed along to Kafka unchanged, the default record builder is probably the best choice. If the incoming data is in JSON format and you want to use a schema based on its structure, use the JSON record builder.
There are three converters build into Apache Kafka and another which is part of the Confluent Platform. You need to make sure that the incoming message format, the setting of the mq.message.body.jms configuration, the record builder and converter are all compatible. By default, everything is just treated as bytes but if you want the connector to understand the message format and apply more sophisticated processing such as single-message transforms, you'll need a more complex configuration. The following table shows the basic options that work.
| Record builder class | Incoming MQ message | mq.message.body.jms | Converter class | Outgoing Kafka message |
|---|---|---|---|---|
| com.ibm.mq.kafkaconnect.builders.DefaultRecordBuilder | Any | false (default) | org.apache.kafka.connect.converters.ByteArrayConverter | Binary data |
| com.ibm.mq.kafkaconnect.builders.DefaultRecordBuilder | JMS BytesMessage | true | org.apache.kafka.connect.converters.ByteArrayConverter | Binary data |
| com.ibm.mq.kafkaconnect.builders.DefaultRecordBuilder | JMS TextMessage | true | org.apache.kafka.connect.storage.StringConverter | String data |
| com.ibm.mq.kafkaconnect.builders.JsonRecordBuilder | JSON, may have schema | Not used | org.apache.kafka.connect.json.JsonConverter | JSON, no schema |
| com.ibm.mq.kafkaconnect.builders.JsonRecordBuilder | JSON, may have schema | Not used | io.confluent.connect.avro.AvroConverter | Binary-encoded Avro |
There's no single configuration that will always be right, but here are some high-level suggestions.
- Pass unchanged binary (or string) data as the Kafka message value
value.converter=org.apache.kafka.connect.converters.ByteArrayConverter
- Message format is MQSTR, pass string data as the Kafka message value
mq.message.body.jms=true
value.converter=org.apache.kafka.connect.converters.StringConverter
- Messages are JMS BytesMessage, pass byte array as the Kafka message value
mq.message.body.jms=true
value.converter=org.apache.kafka.connect.converters.ByteArrayConverter
- Messages are JMS TextMessage, pass string data as the Kafka message value
mq.message.body.jms=true
value.converter=org.apache.kafka.connect.storage.StringConverter
The messages received from MQ are processed by a record builder which builds a Kafka Connect record to represent the message. There are two record builders supplied with the MQ source connector. The connector has a configuration option mq.message.body.jms that controls whether it interprets the MQ messages as JMS messages or regular MQ messages.
| Record builder class | mq.message.body.jms | Incoming message body | Value schema | Value class |
|---|---|---|---|---|
| com.ibm.mq.kafkaconnect.builders.DefaultRecordBuilder | false (default) | Any | OPTIONAL_BYTES | byte[] |
| com.ibm.mq.kafkaconnect.builders.DefaultRecordBuilder | true | JMS BytesMessage | null | byte[] |
| com.ibm.mq.kafkaconnect.builders.DefaultRecordBuilder | true | JMS TextMessage | null | String |
| com.ibm.mq.kafkaconnect.builders.DefaultRecordBuilder | true | Everything else | EXCEPTION | EXCEPTION |
| com.ibm.mq.kafkaconnect.builders.JsonRecordBuilder | Not used | JSON | Depends on message | Depends on message |
You must then choose a converter than can handle the value schema and class. There are three basic converters built into Apache Kafka, with the likely useful combinations in bold.
| Converter class | Output for byte[] | Output for String | Output for compound schema |
|---|---|---|---|
| org.apache.kafka.connect.converters.ByteArrayConverter | Binary data | EXCEPTION | EXCEPTION |
| org.apache.kafka.connect.storage.StringConverter | Works, not useful | String data | Works, not useful |
| org.apache.kafka.connect.json.JsonConverter | Base-64 JSON String | JSON String | JSON data |
In addition, there is another converter for the Avro format that is part of the Confluent Platform. This has not been tested with the MQ source connector at this time.
The connector supports authentication with user name and password and also connections secured with TLS using a server-side certificate and mutual authentication with client-side certificates.
To enable use of TLS, set the configuration 'mq.ssl.cipher.suite' to the name of the cipher suite which matches the CipherSpec in the SSLCIPH attribute of the MQ server-connection channel. Use the table of supported cipher suites for MQ 9.0.x here as a reference. Note that the names of the CipherSpecs as used in the MQ configuration are not necessarily the same as the cipher suite names that the connector uses. The connector uses the JMS interface so it follows the Java conventions.
You will need to put the public part of the queue manager's certificate in the JSSE truststore used by the Kafka Connect worker that you're using to run the connector. If you need to specify extra arguments to the worker's JVM, you can use the EXTRA_ARGS environment variable.
You will need to put the public part of the client's certificate in the queue manager's key repository. You will also need to configure the worker's JVM with the location and password for the keystore containing the client's certificate.
For troubleshooting, or to better understand the handshake performed by the IBM MQ Java client application in combination with your specific JSSE provider, you can enable debugging by setting javax.net.debug=ssl in the JVM environment.
The configuration options for the MQ Source Connector are as follows:
| Name | Description | Type | Default | Valid values |
|---|---|---|---|---|
| mq.queue.manager | The name of the MQ queue manager | string | MQ queue manager name | |
| mq.connection.name.list | List of connection names for queue manager | string | host(port)[,host(port),...] | |
| mq.channel.name | The name of the server-connection channel | string | MQ channel name | |
| mq.queue | The name of the source MQ queue | string | MQ queue name | |
| mq.user.name | The user name for authenticating with the queue manager | string | User name | |
| mq.password | The password for authenticating with the queue manager | string | Password | |
| mq.record.builder | The class used to build the Kafka Connect record | string | Class implementing RecordBuilder | |
| mq.message.body.jms | Whether to interpret the message body as a JMS message type | boolean | false | |
| mq.ssl.cipher.suite | The name of the cipher suite for TLS (SSL) connection | string | Blank or valid cipher suite | |
| mq.ssl.peer.name | The distinguished name pattern of the TLS (SSL) peer | string | Blank or DN pattern | |
| topic | The name of the target Kafka topic | string | Topic name |
The connector is intentionally basic. The idea is to enhance it over time with additional features to make it more capable. Some possible future enhancements are:
- Simplification of handling message formats
- Message key support
- Configurable schema for MQ messages
- JMX metrics
- Testing with the Confluent Platform Avro converter and Schema Registry
- Separate TLS configuration for the connector so that keystore location and so on can be specified as configurations
For issues relating specifically to this connect, please use the GitHub issue tracker. If you do submit a Pull Request related to this connector, please indicate in the Pull Request that you accept and agree to be bound by the terms of the IBM Contributor License Agreement.
Copyright 2017 IBM Corporation
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
(http://www.apache.org/licenses/LICENSE-2.0)
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.The project is licensed under the Apache 2 license.