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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