Comment on page
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.
The following are required to run the redis target connector:
- kubemq cluster
- Gcp Cloud function targe.
- kubemq-targets deployment
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"
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"
}
Last modified 2yr ago