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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
링크 복사

The following table summarizes the configuration options available for the sqlserver-sink Kamelet:

Expand
PropertyNameDescriptionTypeDefaultExample

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
링크 복사

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
링크 복사

This section describes how you can use the sqlserver-sink.

67.3.1. Knative Sink
링크 복사

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"
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67.3.1.1. Prerequisite
링크 복사

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
링크 복사

  1. Save the sqlserver-sink-binding.yaml file to your local drive, and then edit it as needed for your configuration.

  2. Run the sink by using the following command: 

    oc apply -f sqlserver-sink-binding.yaml
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67.3.1.3. Procedure for using the Kamel CLI
링크 복사

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"
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This command creates the KameletBinding in the current namespace on the cluster.

67.3.2. Kafka Sink
링크 복사

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"
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67.3.2.1. Prerequisites
링크 복사

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
링크 복사

  1. Save the sqlserver-sink-binding.yaml file to your local drive, and then edit it as needed for your configuration.

  2. Run the sink by using the following command: 

    oc apply -f sqlserver-sink-binding.yaml
    Copy to Clipboard Toggle word wrap

67.3.2.3. Procedure for using the Kamel CLI
링크 복사

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"
Copy to Clipboard Toggle word wrap

This command creates the KameletBinding in the current namespace on the cluster.

67.4. Kamelet source file
링크 복사

https://github.com/openshift-integration/kamelet-catalog/sqlserver-sink.kamelet.yaml

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