Important
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Kafka Connect TIBCO Sink Connector¶
The TIBCO Sink Connector is used to move messages from Kafka to TIBCO Enterprise Messaging Service (EMS).
Note
If you are required to use the Java Naming and Directory Interface™ (JNDI) to connect to TIBCO EMS, there is a general JMS Sink Connector available that uses a JNDI-based mechanism to connect to the JMS broker.
Prerequisites¶
The following are required to run the Kafka Connect TIBCO Sink Connector:
- Kafka Broker: Confluent Platform 3.3.0 or above, or Kafka 0.11.0 or above
- Connect: Confluent Platform 4.1.0 or above, or Kafka 1.1.0 or above (requires header support in Connect)
- TIBCO EMS with JMS 1.1 support
tibjms
Client Library (See Installing TIBCO JMS Client Library)- Java 1.8
Install TIBCO Sink Connector¶
You can install this connector by using the Confluent Hub client (recommended) or you can manually download the ZIP file.
Install the connector using Confluent Hub¶
- Prerequisite
- Confluent Hub Client must be installed. This is installed by default with Confluent Enterprise.
Navigate to your Confluent Platform installation directory and run this command to install the latest (latest
) connector version.
The connector must be installed on every machine where Connect will be run.
confluent-hub install confluentinc/kafka-connect-tibco-sink:latest
You can install a specific version by replacing latest
with a version number. For example:
confluent-hub install confluentinc/kafka-connect-tibco-sink:1.0.0-preview
Install Connector Manually¶
Download and extract the ZIP file for your connector and then follow the manual connector installation instructions.
License¶
You can use this connector for a 30-day trial period without a license key.
After 30 days, this connector is available under a Confluent enterprise license. Confluent issues enterprise license keys to subscribers, along with providing enterprise-level support for Confluent Platform and your connectors. If you are a subscriber, please contact Confluent Support at support@confluent.io for more information.
See Confluent Platform license for license properties and License topic configuration for information about the license topic.
TIBCO Client Library¶
The Kafka Connect TIBCO connector does not come with the TIBCO JMS client library.
If you are running a multi-node Connect cluster, the TIBCO connector and TIBCO JMS client JAR must be installed on every Connect worker in the cluster. See below for details.
Installing TIBCO JMS Client Library¶
This connector relies on a provided tibjms
client JAR that is included in the TIBCO EMS installation.
The connector will fail to create a connection to TIBCO EMS if you have not installed the JAR on each Connect worker node.
The installation steps are:
- Download and Install TIBCO Enterprise Message Service™ (Mac or Linux). If you have already installed TIBCO EMS, skip to the next step.
- Unzip the download and copy only the
tibco/ems/{version}/lib/tibjms.jar
file into theshare/java/kafka-connect-tibco-sink
directory of your Confluent Platform installation on each worker node. - Restart all of the Connect worker nodes.
Note
The share/java/kafka-connect-tibco-sink
directory mentioned above is for Confluent Platform.
If you are using a different installation, find the location of the Confluent TIBCO
Sink Connector JAR files and place the tibjms
JAR file into the same directory.
JMS Message Formats¶
The format of outgoing JMS Message values is configured with the jms.message.format
property, using one of the following options:
string (default)¶
When using the string
Message Format, record values are run through Values.convertToString(...)
from the Connect Data package and produced as a JMS TextMessage
.
Primitive values are converted to their String equivalent and structured objects are transformed to a sensible string representation that is similar to the JSON representation, with the exception of simple string values (not in objects or arrays) which are unquoted.
Tip
Kafka Connect Transformations can be used with the configured jms.message.format
to transform the record value to the desired string representation before the connector processes each record.
avro¶
Record values are serialized without the Avro schema information and produced as a JMS BytesMessage
.
JMS consumers must have the schema to deserialize the data.
Important
The connector attempts to infer the Avro schema for records that have no schema.
If the connector cannot infer the schema, the task is killed. If you are processing
data without a schema, consider using one of the other jms.message.format
configurations.
json¶
Record values are converted to a UTF-8 encoded JSON representation and produced as a JMS TextMessage
.
bytes¶
Record values are passed along in bytes form without any conversion.
Important
Record values must be converted to bytes form before the connector processes them.
Configure the value.converter
property to org.apache.kafka.connect.converters.ByteArrayConverter
to ensure that record values arrive in byte format.
Forwarding Kafka Properties to JMS¶
The connector can be configured to forward various values from the Kafka record to the JMS Message.
- Enable
jms.forward.kafka.key
to convert the record’s key to a String and forward it as theJMSCorrelationID
. - Enable
jms.forward.kafka.metadata
to forward the record’s topic, partition, and offset on JMS Message properties.- Kafka topic is applied to the message as a String property named
KAFKA_TOPIC
. - Partition is applied to the message as an Int property named
KAFKA_PARTITION
. - Offset is applied to the message as a Long property named
KAFKA_OFFSET
.
- Kafka topic is applied to the message as a String property named
- Enable
jms.forward.kafka.headers
to add each header from the SinkRecord to the JMS Message as a String property.
Note
The connector converts the record key and headers to a sensible string representation that is similar to the JSON representation, with the exception of simple string values (not in objects or arrays) which are unquoted. No other conversion is done to the key and headers before forwarding them on the JMS Message. If another format is needed, out-of-the-box or custom Kafka Connect Transformations can be used with the connector to transform the record keys and/or headers to the desired string representation before the JMS sink connector processes each record.
Quick Start¶
This quick start uses the TIBCO Sink Connector to consume records from Kafka and send them to TIBCO Enterprise Message Service™ - Community Edition.
Download TIBCO Enterprise Message Service™ - Community Edition (Mac or Linux) and run the appropriate installer. See the TIBCO Enterprise Message Service™ Installation Guide for more details. Similar documentation is available for each version of TIBCO EMS.
Install the connector through the Confluent Hub Client.
# run from your CP installation directory confluent-hub install confluentinc/kafka-connect-tibco-sink:latest
Start the Confluent Platform.
confluent start
Produce test data to the
sink-messages
topic in Kafka.seq 10 | confluent produce sink-messages
Create a
tibco-sink.json
file with the following contents:{ "name": "TibcoSinkConnector", "config": { "connector.class": "io.confluent.connect.jms.TibcoSinkConnector", "tasks.max": "1", "topics": "sink-messages", "tibco.url": "tcp://localhost:7222", "tibco.username": "admin", "tibco.password": "", "jms.destination.type": "queue", "jms.destination.name": "connector-quickstart", "key.converter": "org.apache.kafka.connect.storage.StringConverter", "value.converter": "org.apache.kafka.connect.storage.StringConverter", "confluent.topic.bootstrap.servers": "localhost:9092", "confluent.topic.replication.factor": "1" } }
Load the TIBCO Sink Connector.
confluent load tibco -d tibco-sink.json
Confirm that the connector is in a
RUNNING
state.confluent status tibco
Confirm the messages were delivered to the
connector-quickstart
queue in TIBCO.# open TIBCO admin tool (password is empty) tibco/ems/8.4/bin/tibemsadmin -server "tcp://localhost:7222" -user admin > show queue connector-quickstart