Cloud Composer 3 | Cloud Composer 2 | Cloud Composer 1
Apache Airflow has a command-line interface (CLI) that you can use to perform tasks such as triggering and managing DAGs, getting information about DAG runs and tasks, adding and deleting connections and users.
Supported Airflow CLI commands
Airflow uses Airflow 2 CLI syntax, which is described in the Airflow documentation.
For a full list of supported Airflow CLI commands, see the reference for the
gcloud composer environments run
command.
Before you begin
You must have permissions to use Google Cloud CLI with Cloud Composer and run Airflow CLI commands.
It is not possible to run Airflow CLI commands through
kubectl
in Cloud Composer 3. This approach was deprecated and is required only for Cloud Composer versions earlier than 2.4.0.
Run Airflow CLI commands
To run Airflow CLI commands in your environments, use gcloud CLI:
gcloud composer environments run ENVIRONMENT_NAME \
--location LOCATION \
SUBCOMMAND \
-- SUBCOMMAND_ARGUMENTS
Replace the following :
ENVIRONMENT_NAME
: the name of your environment.LOCATION
: the region where the environment is located.SUBCOMMAND
: one of the supported Airflow CLI commands.SUBCOMMAND_ARGUMENTS
with arguments for the Airflow CLI command.
Sub-command arguments separator
Separate the arguments for the specified Airflow CLI command with --
:
- Specify compound CLI commands as a sub-command.
- Specify any arguments for compound commands as sub-command arguments,
after a
--
separator.
Example:
gcloud composer environments run example-environment \
dags list -- --output=json
Default location
Most gcloud composer
commands require a location. You can specify the
location with the --location
flag, or by
setting the default location.
For example, to trigger a DAG named sample_quickstart
with the ID 5077
in
your Cloud Composer environment:
gcloud composer environments run example-environment \
--location us-central1 dags trigger -- sample_quickstart \
--run-id=5077
Run Airflow CLI commands through Cloud Composer API
In Cloud Composer 3, you can run Airflow CLI commands through Cloud Composer API.
Execute a command
Construct an environments.executeAirflowCommand
API request:
{
"environment": "projects/PROJECT_ID/locations/LOCATION/environments/ENVIRONMENT_NAME",
"command": "AIRFLOW_COMMAND",
"subcommand": "AIRFLOW_SUBCOMMAND",
"parameters": [
"SUBCOMMAND_PARAMETER"
]
}
Replace the following:
PROJECT_ID
: the Project ID.LOCATION
: the region where the environment is located.ENVIRONMENT_NAME
: the name of your environment.AIRFLOW_COMMAND
: Airflow CLI command that you want to execute, such asdags
.AIRFLOW_SUBCOMMAND
: Sub-command for the Airflow CLI command that you want to execute, such aslist
.- (optional)
SUBCOMMAND_PARAMETER
: Parameters for the sub-command. If you want to use more than one parameter, add more items to the list.
Example:
// POST https://composer.googleapis.com/v1/{environment=projects/*/locations/*/environments/*}:executeAirflowCommand
{
"environment": "projects/example-project/locations/us-central1/environments/example-environment",
"command": "dags",
"subcommand": "list",
"parameters": [
"-o json",
"--verbose"
]
}
Poll command status
After you execute an Airflow CLI command through Cloud Composer API, check if
the command was successfully completed by making a
PollAirflowCommand request and inspecting the
fields in exitInfo
for errors and status codes. The output
field contains
log lines.
To get the command execution status and fetch logs, provide executionId
,
pod
, and podNamespace
values returned by ExecuteAirflowCommandRequest
:
Example:
// POST https://composer.googleapis.com/v1/{environment=projects/*/locations/*/environments/*}:pollAirflowCommand
{
"executionId": "a117da94-355d-4ad4-839e-ac39ccb0bf48",
"pod": "airflow-webserver-66d96b858f-tn96b",
"podNamespace": "airflow-2-10-2-build-13-226523e4",
"nextLineNumber": 1
}