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list_jobs.md

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List serving jobs

If you want to get all serving jobs' names, the command arena serve list can help you.

1. List all serving jobs.

$ arena serve list
NAME                 TYPE        VERSION       DESIRED  AVAILABLE  ADDRESS       PORTS
mymnist1             Tensorflow  202101162119  1        0          172.28.3.123  GRPC:8500,RESTFUL:8501
fast-style-transfer  Custom      alpha         1        0          172.28.14.93  RESTFUL:31129->5000

As you see, there is two serving job types: Tensorflow and Custom.

2. If you want to list all serving jobs by the serving job type, you can use -T or --type to specify the job type. For example, the following command is used to list all custom serving jobs:

$ arena serve list -T custom
NAME                 TYPE    VERSION  DESIRED  AVAILABLE  ADDRESS       PORTS
fast-style-transfer  Custom  alpha    1        0          172.28.14.93  RESTFUL:31129->5000

3. arena serve list will list the all serving jobs in the default namespace, if you want to get all serving jobs in other namespaces, -n or --namespace can help you. The example command will list all serving jobs in namespace test.

$  arena serve list  -n test 
NAME                 TYPE    VERSION  DESIRED  AVAILABLE  ADDRESS       PORTS
fast-style-transfer  Custom  alpha    1        0          172.28.14.93  RESTFUL:31129->5000

!!! note

* ``--all-namespaces`` or ``-A`` will list all serving jobs in all namespaces.

4. If you want to get the output of arena serve list with json(or yaml) format, -o json (or -o yaml) can help you.

$ arena serve list -o json
[
    {
        "name": "fast-style-transfer",
        "namespace": "default",
        "type": "Custom",
        "version": "alpha",
        "age": "5m",
        "desiredInstances": 1,
        "availableInstances": 1,
        "endpoints": [
            {
                "name": "RESTFUL",
                "port": 5000,
                "nodePort": 31129
            }
        ],
        "ip": "172.28.14.93",
        "instances": [
            {
                "name": "fast-style-transfer-alpha-custom-serving-856dbcdbcb-sxx2n",
                "status": "Running",
                "age": "5m",
                "readyContainers": 1,
                "totalContainers": 1,
                "restartCount": 0,
                "nodeIP": "192.168.1.112",
                "nodeName": "cn-beijing.192.168.1.112",
                "ip": "172.27.0.35",
                "requestGPUs": 1,
                "requestGPUMemory": 0
            }
        ],
        "requestGPUs": 1,
        "requestGPUMemory": 0
    },
    {
        "name": "mymnist1",
        "namespace": "default",
        "type": "Tensorflow",
        "version": "202101162119",
        "age": "5m",
        "desiredInstances": 1,
        "availableInstances": 0,
        "endpoints": [
            {
                "name": "GRPC",
                "port": 8500,
                "nodePort": 0
            },
            {
                "name": "RESTFUL",
                "port": 8501,
                "nodePort": 0
            }
        ],
        "ip": "172.28.3.123",
        "instances": [
            {
                "name": "mymnist1-202101162119-tensorflow-serving-694875fd47-mfhwc",
                "status": "Pending",
                "age": "5m",
                "readyContainers": 0,
                "totalContainers": 1,
                "restartCount": 0,
                "nodeIP": "",
                "nodeName": "",
                "ip": "",
                "requestGPUs": 1,
                "requestGPUMemory": 0
            }
        ],
        "requestGPUs": 1,
        "requestGPUMemory": 0
    }
]