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  • Prerequisites
  • Configuration
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  • Get Request

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  1. Configuration
  2. Connectors
  3. KubeMQ Targets
  4. GCP

Functions

Kubemq gcp Cloud Functions target connector allows services using kubemq server to access call a function target on gcp Cloud Function. The connector synchronously invokes a deployed Cloud Function, very limited traffic is allowed 16 per 100 seconds.

Prerequisites

The following are required to run the redis target connector:

  • kubemq cluster

  • Gcp Cloud function targe.

  • kubemq-targets deployment

Configuration

Kafka source connector configuration properties:

Properties Key

Required

Description

Example

project

yes

gcp project name

"testproject"

credentials

yes

gcp service account key location (json)

"TestTopic"

location_match

no

match missing function location (default true)

"true"

Example:

bindings:
  - name: kubemq-query
    source:
      kind: kubemq.kubemq.query
      name: kubemq-query
      properties:
        address: "kubemq-cluster:50000"
        client_id: "kubemq-query-gcpfucntions-connector"
        auth_token: ""
        channel: "query.gcp.functions"
        group:   ""
        auto_reconnect: "true"
        reconnect_interval_seconds: "1"
        max_reconnects: "0"
    target:
      kind: gcp.cloudfunctions
      name: target-gcp-couldfunctions
      properties:
        project: "testproject"
        credentials: "myKey"
        location_match: "true"

Usage

Get Request

Get request metadata setting:

Metadata Key

Required

Description

Possible values

name

yes

name of the gcp function

"test_function"

project

no

gcp project name (override parent value)

"testproject1"

location

no

gcp project location (missing value will be matched)

"us-central1"

Example:

{
  "metadata": {
    "name": "test_function",
    "location": "us-central1"    
  },
  "data": "eyJtZXNzYWdlIjoidGVzdCJ9"
}
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Last updated 4 years ago

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