Use preheat apis for preheating. First create a POST request for preheating, you can refer to create job api document
If the scheduler_cluster_ids
does not exist,
it means to preheat all scheduler clusters.
curl --location --request POST 'http://dragonfly-manager:8080/api/v1/jobs' \
--header 'Content-Type: application/json' \
--data-raw '{
"type": "preheat",
"args": {
"type": "image",
"url": "https://registry-1.docker.io/v2/library/redis/manifests/latest"
}
}'
If the output of command above has content like
{
"id": 1,
"task_id": "group_4d1ea00e-740f-4dbf-a47e-dbdc08eb33e1",
"type": "preheat",
"status": "PENDING",
"args": {
"filter": "",
"headers": null,
"type": "image",
"url": "https://registry-1.docker.io/v2/library/redis/manifests/latest"
}
}
Polling the preheating status with id. if status is SUCCESS
,
preheating is successful, you can refer to
get job api document
curl --request GET 'http://dragonfly-manager:8080/api/v1/jobs/1'
If the status is SUCCESS
, the preheating is successful.
{
"id": 1,
"task_id": "group_4d1ea00e-740f-4dbf-a47e-dbdc08eb33e1",
"type": "preheat",
"status": "SUCCESS",
"args": {
"filter": "",
"headers": null,
"type": "image",
"url": "https://registry-1.docker.io/v2/library/redis/manifests/latest"
}
}