IBM MQ Source Connector for Confluent Platform

The Kafka Connect IBM MQ Source Connector is used to read messages from an IBM MQ cluster and write them to a Apache Kafka® topic.

Note

  • Confluent Platform also includes a general JMS Source Connector for Confluent Platform that uses a JNDI-based mechanism to connect to the JMS broker. If you have to use JNDI to connect to your JMS broker, consider using the source connector instead.
  • The 11.x version of this is connector does not support at-least-once semantics and is no longer supported. To upgrade to a 12.x version, see Migrate from 11.x to 12.x.

Features

The IBM MQ Source connector includes the following features:

At least once delivery

This connector guarantees that records are delivered at least once to the Kafka topic. If the connector restarts, there may be some duplicate records in the Kafka topic.

Note that the IBM MQ Source connector allows you to configure a JMS destination type of either queue or topic. If the connector is the only consumer consuming from the source destination, Confluent recommends you configure the queue JMS destination type. With a destination type of queue, the connector will deliver messages at-least-once–that is, messages will be persisted in the queue.

If there are many consumers consuming messages from the same JMS destination, then Confluent recommends you configure the topic destination type as it will broadcast messages to connector and other consumers. If you configure topic, you must explicitly set the durable configuration parameter, jms.subscription.durable in the connector configuration; JMS topics don’t persist messages unless you use a durable subscription.

Multiple tasks

The IBM MQ Source connector supports running one or more tasks. You can specify the number of tasks in the tasks.max configuration parameter. This can lead to performance gains when multiple files need to be parsed.

JMS message types

The connector currently supports TextMessage and BytesMessage. The connector does not currently support ObjectMessage or StreamMessage.

Retries and reconnection

The IBM MQ Source connector uses the general retry policy implemented for most Confluent connectors; however, the IBM MQ Source connector uses exponential backoff after each retry attempt. The backoff time is the time between retries and is a random value between zero and the exponentially increasing bound:

initialbackoffTime * 2 ^ (retry-1)

The exponential bound is capped at one minute, and the initial backoff time is 100 milliseconds (ms). While the total amount of retries attempted is not configurable in the IBM MQ Source connector, the maximum total time spent retrying before failure can be configured by the max.retry.time configuration property. The max.retry.time configuration property sets the maximum time in milliseconds that the connector will attempt to retry–the default value is 3600000 ms (one hour).

The following errors will trigger a retry:

  • MQRC_GET_INHIBITED
  • MQRC_BACKED_OUT
  • MQRC_CHANNEL_NOT_AVAILABLE
  • MQRC_CONNECTION_BROKEN
  • MQRC_HOST_NOT_AVAILABLE
  • MQRC_NOT_AUTHORIZED
  • MQRC_Q_MGR_NOT_AVAILABLE
  • MQRC_Q_MGR_QUIESCING
  • MQRC_Q_MGR_STOPPING
  • MQRC_UNEXPECTED_ERROR

With the exception of MQRC_GET_INHIBITED, all of the above errors will first shut down the connection and then reconnect before retrying.

Message acknowledgement

The IBM MQ Source connector sends an acknowledgement message when one of the following occurs:

  • The max.poll.duration is breached.
  • Message Queue (MQ) no longer has any more records.
  • The max.pending.messages configuration limit has been breached.

To ensure each batch sends an acknowledgement, you must set batch.size and max.pending.messages to an equal value.

License

You can use this connector for a 30-day trial period without a license key.

After 30 days, you must purchase a connector subscription which includes Confluent enterprise license keys to subscribers, along with enterprise-level support for Confluent Platform and your connectors. If you are a subscriber, you can contact Confluent Support at support@confluent.io for more information.

See Confluent license properties for license properties and information about the license topic.

Configuration Properties

For a complete list of configuration properties for this connector, see IBM MQ Source Connector Configuration Properties. To understand how the connector internally configures the acknowledgement mode, see the following section.

Note

For an example of how to get Kafka Connect connected to Confluent Cloud, see Distributed Cluster.

Acknowledgement mode

The connector internally uses CLIENT_ACKNOWLEDGE mode to receive and acknowledge messages from the JMS broker. In this mode, acknowledging any message will acknowledge every message received (see section 6.2.10 in the JMS 2.0 Specification). To prevent messages from being prematurely acknowledged, the connector processes only one message at time. In other words, the connector will not try to receive new messages until the last message is committed to a Kafka topic. This might compromise the throughput of the connector, but messages will be transferred to Kafka successfully.

Migrate from 11.x to 12.x

Important

  • This section is only for users who have previously deployed an 11.x version of the IBM MQ Source connector.

You can migrate to a newer version of the IBM MQ Source connector–that is, from an 11.x version to a 12.x version–to leverage at-least-once semantics using the following steps:

Step 1: Shut down Connect

Shut down Connect using the Shutting Down Kafka Connect instructions.|kconnect| performs classloading only during worker startup. To identify any newer plugins, you must restart the entire worker.

Step 2: Install a newer version of IBM MQ Source connector

  • To install a newer version of IBM MQ Source connector using the Confluent Hub Client run a command similar to the following:

    confluent-hub install confluentinc/kafka-connect-ibmmq:12.x

    This will install the 12.x version of IBM MQ Source connector. While running the previous command, ensure you choose the option to replace the existing connector.

  • To install an newer version of IBM MQ Source connector manually, follow the instructions in Installing plugins.

Step 3: Start Kafka Connect

Install the IBM MQ Source Connector

You can install this connector by using the Confluent Hub Client installation instructions, or by manually downloading the ZIP file.

Prerequisites

  • You must install the connector on every machine where Connect will run.
  • If you want to install the connector using Confluent Hub, you must install the Confluent Hub Client. This is installed by default with Confluent Enterprise.
  • An installation of the IBM MQ client library JAR files. For help with downloading the JAR files, see the Client Libraries section.

Install the connector using Confluent Hub

To install the latest connector version using Confluent Hub Client, navigate to your Confluent Platform installation directory and run the following command:

confluent-hub install confluentinc/kafka-connect-ibmmq:latest

You can install a specific version by replacing latest with a version number as shown in the following example:

confluent-hub install confluentinc/kafka-connect-ibmmq:12.2.0

Install the connector manually

Download and extract the ZIP file for your connector and then follow the manual connector installation instructions.

Client Libraries

To use the Kafka Connect IBM MQ connector, you must download the IBM MQ client library JAR files. To download the required JAR files, complete the following steps:

  1. Follow IBM’s Getting the IBM MQ classes for Java and JMS instructions to download the IBM MQ client JAR.
  2. Copy only the com.ibm.mq.allclient.jar file into the share/confluent-hub-components/confluentinc-kafka-connect-ibmmq/lib directory of your Confluent Platform installation on each Connect worker node.
  3. Restart all of the Connect worker nodes.

Connecting to IBM MQ

Before you can use this connector, you must install the IBM MQ client JARs into this connector’s installation directory. See the IBM MQ documentation for details.

This connector connects directly to the IBM MQ using a number of configuration properties that should match your environment.

The following example shows a typical configuration of the connector for use with distributed mode:

{
  "name": "connector1",
  "config": {
    "connector.class": "io.confluent.connect.ibm.mq.IbmMQSourceConnector",
    "kafka.topic":"MyKafkaTopicName",
    "mq.hostname":"localhost",
    "mq.port":"61616",
    "mq.transport.type":"client",
    "mq.queue.manager":"QMA",
    "mq.channel":"SYSTEM.DEF.SVRCONN",
    "jms.destination.name":"testing",
    "jms.destination.type":"queue",
    "confluent.license":"",
    "confluent.topic.bootstrap.servers":"localhost:9092"
  }
}

The connector supports other configuration options not included in the example above.

Topics

This connector consumes messages from IBM MQ using the configured message selectors and writes them to a single Kafka topic. If you want to write messages to multiple topics, use a simple message transform that routes the messages based upon your criteria.

Schemas

The IBM MQ connector produces messages with keys and values that adhere to the schemas described in the following sections.

io.confluent.connect.jms.Key

This schema is used to store the incoming MessageID on the message interface. This will ensure that when that if the same message id arrives it will end up in the same partition. In practice this should never occur. The schema defines the following fields:

Name Schema Required Default Value Documentation
messageID STRING yes   This field stores the value of Message.getJMSMessageID().

io.confluent.connect.jms.Value

This schema is used to store the value of the JMS message. The schema defines the following fields:

Name Schema Required Default Value Documentation
messageID STRING yes   This field stores the value of Message.getJMSMessageID().
messageType STRING yes   This field stores the type of message that was received. This corresponds to the sub-interfaces of Message. BytesMessage = bytes, MapMessage = map, ObjectMessage = object, StreamMessage = stream and TextMessage = text. The corresponding field will be populated with the values from the respective message sub-interface.
timestamp INT64 yes   Data from the getJMSTimestamp() method.
deliveryMode INT32 yes   This field stores the value of Message.getJMSDeliveryMode(). method.
correlationID STRING no   This field stores the value of Message.getJMSCorrelationID(). method.
replyTo Destination no   This schema is used to represent a JMS Destination, and is either queue or topic.
destination Destination no   This schema is used to represent a JMS Destination, and is either queue or topic.
redelivered BOOLEAN yes   This field stores the value of Message.getJMSRedelivered().
type STRING no   This field stores the value of Message.getJMSType().
expiration INT64 no   This field stores the value of Message.getJMSExpiration().
priority INT32 no   This field stores the value of Message.getJMSPriority().
properties Map of STRING, PropertyValue yes   This field stores the data from all of the properties for the Message indexed by their propertyName.
bytes BYTES no   This field stores the value from BytesMessage.html.readBytes(byte[]).
map Map of STRING, PropertyValue no   This field stores the data from all of the map entries returned from MapMessage.getMapNames() for the Message indexed by their key.
text STRING no   This field stores the value from TextMessage.html.getText().

io.confluent.connect.jms.Destination

This schema is used to represent a JMS Destination, and is either queue or topic. The schema defines the following fields:

Name Schema Required Default Value Documentation
destinationType STRING yes   The type of JMS Destination, and either queue or topic.
name STRING yes   The name of the destination. This will be the value of Queue.getQueueName() or Topic.getTopicName().

io.confluent.connect.jms.PropertyValue

This schema is used to store the data that is found in the properties of the message. To ensure that the proper type mappings are preserved field propertyType stores the value type for the field. The corresponding field in the schema will contain the data for the property. This ensures that the data is retrievable as the type returned by Message.getObjectProperty(). The schema defines the following fields:

Name Schema Required Default Value Documentation
propertyType STRING yes   The Java type of the property on the Message. One of boolean, byte, short, integer, long, float, double, or string.
boolean BOOLEAN no   The value stored as a boolean. Null unless propertyType is set to boolean.
byte INT8 no   The value stored as a byte. Null unless propertyType is set to byte.
short INT16 no   The value stored as a short. Null unless propertyType is set to short.
integer INT32 no   The value stored as a integer. Null unless propertyType is set to integer.
long INT64 no   The value stored as a long. Null unless propertyType is set to long.
float FLOAT32 no   The value stored as a float. Null unless propertyType is set to float.
double FLOAT64 no   The value stored as a double. Null unless propertyType is set to double.
string STRING no   The value stored as a string. Null unless propertyType is set to string.