Chapter 67. Microsoft SQL Server Sink Send data to a Microsoft SQL Server Database. This Kamelet expects a JSON as body. The mapping between the JSON fields and parameters is done by key, so if you have the following query: 'INSERT INTO accounts (username,city) VALUES (:#username,:#city)' The Kamelet needs to receive as input something like: '{ "username":"oscerd", "city":"Rome"}' 67.1. Configuration Options The following table summarizes the configuration options available for the sqlserver-sink Kamelet: Property Name Description Type Default Example databaseName * Database Name The Database Name we are pointing string password * Password The password to use for accessing a secured SQL Server Database string query * Query The Query to execute against the SQL Server Database string "INSERT INTO accounts (username,city) VALUES (:#username,:#city)" serverName * Server Name Server Name for the data source string "localhost" username * Username The username to use for accessing a secured SQL Server Database string serverPort Server Port Server Port for the data source string 1433 Note Fields marked with an asterisk (*) are mandatory. 67.2. Dependencies At runtime, the sqlserver-sink Kamelet relies upon the presence of the following dependencies: camel:jackson camel:kamelet camel:sql mvn:org.apache.commons:commons-dbcp2:2.7.0.redhat-00001 mvn:com.microsoft.sqlserver:mssql-jdbc:9.2.1.jre11 67.3. Usage This section describes how you can use the sqlserver-sink . 67.3.1. Knative Sink You can use the sqlserver-sink Kamelet as a Knative sink by binding it to a Knative object. sqlserver-sink-binding.yaml apiVersion: camel.apache.org/v1alpha1 kind: KameletBinding metadata: name: sqlserver-sink-binding spec: source: ref: kind: Channel apiVersion: messaging.knative.dev/v1 name: mychannel sink: ref: kind: Kamelet apiVersion: camel.apache.org/v1alpha1 name: sqlserver-sink properties: databaseName: "The Database Name" password: "The Password" query: "INSERT INTO accounts (username,city) VALUES (:#username,:#city)" serverName: "localhost" username: "The Username" 67.3.1.1. Prerequisite Make sure you have "Red Hat Integration - Camel K" installed into the OpenShift cluster you're connected to. 67.3.1.2. Procedure for using the cluster CLI Save the sqlserver-sink-binding.yaml file to your local drive, and then edit it as needed for your configuration. Run the sink by using the following command: oc apply -f sqlserver-sink-binding.yaml 67.3.1.3. Procedure for using the Kamel CLI Configure and run the sink by using the following command: kamel bind channel:mychannel sqlserver-sink -p "sink.databaseName=The Database Name" -p "sink.password=The Password" -p "sink.query=INSERT INTO accounts (username,city) VALUES (:#username,:#city)" -p "sink.serverName=localhost" -p "sink.username=The Username" This command creates the KameletBinding in the current namespace on the cluster. 67.3.2. Kafka Sink You can use the sqlserver-sink Kamelet as a Kafka sink by binding it to a Kafka topic. sqlserver-sink-binding.yaml apiVersion: camel.apache.org/v1alpha1 kind: KameletBinding metadata: name: sqlserver-sink-binding spec: source: ref: kind: KafkaTopic apiVersion: kafka.strimzi.io/v1beta1 name: my-topic sink: ref: kind: Kamelet apiVersion: camel.apache.org/v1alpha1 name: sqlserver-sink properties: databaseName: "The Database Name" password: "The Password" query: "INSERT INTO accounts (username,city) VALUES (:#username,:#city)" serverName: "localhost" username: "The Username" 67.3.2.1. Prerequisites Ensure that you've installed the AMQ Streams operator in your OpenShift cluster and created a topic named my-topic in the current namespace. Make also sure you have "Red Hat Integration - Camel K" installed into the OpenShift cluster you're connected to. 67.3.2.2. Procedure for using the cluster CLI Save the sqlserver-sink-binding.yaml file to your local drive, and then edit it as needed for your configuration. Run the sink by using the following command: oc apply -f sqlserver-sink-binding.yaml 67.3.2.3. Procedure for using the Kamel CLI Configure and run the sink by using the following command: kamel bind kafka.strimzi.io/v1beta1:KafkaTopic:my-topic sqlserver-sink -p "sink.databaseName=The Database Name" -p "sink.password=The Password" -p "sink.query=INSERT INTO accounts (username,city) VALUES (:#username,:#city)" -p "sink.serverName=localhost" -p "sink.username=The Username" This command creates the KameletBinding in the current namespace on the cluster. 67.4. Kamelet source file https://github.com/openshift-integration/kamelet-catalog/sqlserver-sink.kamelet.yaml

Commands:
apiVersion: camel.apache.org/v1alpha1 kind: KameletBinding metadata: name: sqlserver-sink-binding spec: source: ref: kind: Channel apiVersion: messaging.knative.dev/v1 name: mychannel sink: ref: kind: Kamelet apiVersion: camel.apache.org/v1alpha1 name: sqlserver-sink properties: databaseName: "The Database Name" password: "The Password" query: "INSERT INTO accounts (username,city) VALUES (:#username,:#city)" serverName: "localhost" username: "The Username"
apply -f sqlserver-sink-binding.yaml
kamel bind channel:mychannel sqlserver-sink -p "sink.databaseName=The Database Name" -p "sink.password=The Password" -p "sink.query=INSERT INTO accounts (username,city) VALUES (:#username,:#city)" -p "sink.serverName=localhost" -p "sink.username=The Username"
apiVersion: camel.apache.org/v1alpha1 kind: KameletBinding metadata: name: sqlserver-sink-binding spec: source: ref: kind: KafkaTopic apiVersion: kafka.strimzi.io/v1beta1 name: my-topic sink: ref: kind: Kamelet apiVersion: camel.apache.org/v1alpha1 name: sqlserver-sink properties: databaseName: "The Database Name" password: "The Password" query: "INSERT INTO accounts (username,city) VALUES (:#username,:#city)" serverName: "localhost" username: "The Username"
apply -f sqlserver-sink-binding.yaml
kamel bind kafka.strimzi.io/v1beta1:KafkaTopic:my-topic sqlserver-sink -p "sink.databaseName=The Database Name" -p "sink.password=The Password" -p "sink.query=INSERT INTO accounts (username,city) VALUES (:#username,:#city)" -p "sink.serverName=localhost" -p "sink.username=The Username"