Dieser Inhalt ist in der von Ihnen ausgewählten Sprache nicht verfügbar.

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:

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

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

  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

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

  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

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

Red Hat logoGithubRedditYoutubeTwitter

Lernen

Testen, kaufen und verkaufen

Communitys

Über Red Hat Dokumentation

Wir helfen Red Hat Benutzern, mit unseren Produkten und Diensten innovativ zu sein und ihre Ziele zu erreichen – mit Inhalten, denen sie vertrauen können.

Mehr Inklusion in Open Source

Red Hat hat sich verpflichtet, problematische Sprache in unserem Code, unserer Dokumentation und unseren Web-Eigenschaften zu ersetzen. Weitere Einzelheiten finden Sie in Red Hat Blog.

Über Red Hat

Wir liefern gehärtete Lösungen, die es Unternehmen leichter machen, plattform- und umgebungsübergreifend zu arbeiten, vom zentralen Rechenzentrum bis zum Netzwerkrand.

© 2024 Red Hat, Inc.