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

Chapter 52. MongoDB Source


Consume documents from MongoDB.

If the persistentTailTracking option will be enabled, the consumer will keep track of the last consumed message and on the next restart, the consumption will restart from that message. In case of persistentTailTracking enabled, the tailTrackIncreasingField must be provided (by default it is optional).

If the persistentTailTracking option won’t be enabled, the consumer will consume the whole collection and wait in idle for new documents to consume.

52.1. Configuration Options

The following table summarizes the configuration options available for the mongodb-source Kamelet:

PropertyNameDescriptionTypeDefaultExample

collection *

MongoDB Collection

Sets the name of the MongoDB collection to bind to this endpoint.

string

  

database *

MongoDB Database

Sets the name of the MongoDB database to target.

string

  

hosts *

MongoDB Hosts

Comma separated list of MongoDB Host Addresses in host:port format.

string

  

password *

MongoDB Password

User password for accessing MongoDB.

string

  

username *

MongoDB Username

Username for accessing MongoDB. The username must be present in the MongoDB’s authentication database (authenticationDatabase). By default, the MongoDB authenticationDatabase is 'admin'.

string

  

persistentTailTracking

MongoDB Persistent Tail Tracking

Enable persistent tail tracking, which is a mechanism to keep track of the last consumed message across system restarts. The next time the system is up, the endpoint will recover the cursor from the point where it last stopped slurping records.

boolean

false

 

tailTrackIncreasingField

MongoDB Tail Track Increasing Field

Correlation field in the incoming record which is of increasing nature and will be used to position the tailing cursor every time it is generated.

string

  
Note

Fields marked with an asterisk (*) are mandatory.

52.2. Dependencies

At runtime, the mongodb-source Kamelet relies upon the presence of the following dependencies:

  • camel:kamelet
  • camel:mongodb
  • camel:jackson

52.3. Usage

This section describes how you can use the mongodb-source.

52.3.1. Knative Source

You can use the mongodb-source Kamelet as a Knative source by binding it to a Knative object.

mongodb-source-binding.yaml

apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
  name: mongodb-source-binding
spec:
  source:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: mongodb-source
    properties:
      collection: "The MongoDB Collection"
      database: "The MongoDB Database"
      hosts: "The MongoDB Hosts"
      password: "The MongoDB Password"
      username: "The MongoDB Username"
  sink:
    ref:
      kind: Channel
      apiVersion: messaging.knative.dev/v1
      name: mychannel

52.3.1.1. Prerequisite

Make sure you have "Red Hat Integration - Camel K" installed into the OpenShift cluster you’re connected to.

52.3.1.2. Procedure for using the cluster CLI

  1. Save the mongodb-source-binding.yaml file to your local drive, and then edit it as needed for your configuration.
  2. Run the source by using the following command:

    oc apply -f mongodb-source-binding.yaml

52.3.1.3. Procedure for using the Kamel CLI

Configure and run the source by using the following command:

kamel bind mongodb-source -p "source.collection=The MongoDB Collection" -p "source.database=The MongoDB Database" -p "source.hosts=The MongoDB Hosts" -p "source.password=The MongoDB Password" -p "source.username=The MongoDB Username" channel:mychannel

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

52.3.2. Kafka Source

You can use the mongodb-source Kamelet as a Kafka source by binding it to a Kafka topic.

mongodb-source-binding.yaml

apiVersion: camel.apache.org/v1alpha1
kind: KameletBinding
metadata:
  name: mongodb-source-binding
spec:
  source:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1alpha1
      name: mongodb-source
    properties:
      collection: "The MongoDB Collection"
      database: "The MongoDB Database"
      hosts: "The MongoDB Hosts"
      password: "The MongoDB Password"
      username: "The MongoDB Username"
  sink:
    ref:
      kind: KafkaTopic
      apiVersion: kafka.strimzi.io/v1beta1
      name: my-topic

52.3.2.1. 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.

52.3.2.2. Procedure for using the cluster CLI

  1. Save the mongodb-source-binding.yaml file to your local drive, and then edit it as needed for your configuration.
  2. Run the source by using the following command:

    oc apply -f mongodb-source-binding.yaml

52.3.2.3. Procedure for using the Kamel CLI

Configure and run the source by using the following command:

kamel bind mongodb-source -p "source.collection=The MongoDB Collection" -p "source.database=The MongoDB Database" -p "source.hosts=The MongoDB Hosts" -p "source.password=The MongoDB Password" -p "source.username=The MongoDB Username" kafka.strimzi.io/v1beta1:KafkaTopic:my-topic

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

52.4. Kamelet source file

https://github.com/openshift-integration/kamelet-catalog/mongodb-source.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.