Data stored in Cloud Storage

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This page describes what data Cloud Composer stores for your environment in Cloud Storage.

When you create an environment, Cloud Composer creates a Cloud Storage bucket and associates the bucket with your environment. The name of the bucket is based on the environment region, name, and a random ID such as us-central1-b1-6efabcde-bucket.

Cloud Composer synchronizes specific folders in your environment's bucket to Airflow components that run in your environment. For example, when you update a file with the code of your Airflow DAG in the environment's bucket, Airflow components also receive the updated version. Cloud Composer uses Cloud Storage FUSE for synchronization.

Note: Deleting your environment does not delete the environment's bucket. To avoid incurring charges to your Cloud Billing account, download your data and then delete the Cloud Storage bucket.

Folders in the Cloud Storage bucket

Folder	Storage path	Mapped directory	Description
DAG	gs://bucket-name/dags	/home/airflow/gcs/dags	Stores the DAGs for your environment.
Plugins	gs://bucket-name/plugins	/home/airflow/gcs/plugins	Stores your custom plugins, such as custom in-house Airflow operators, hooks, sensors, or interfaces.
Data	gs://bucket-name/data	/home/airflow/gcs/data	Stores the data that tasks produce and use.
Logs	gs://bucket-name/logs	/home/airflow/gcs/logs	Stores the Airflow logs for tasks. Logs are also available in the Airflow web interface and in Logs tab in Google Cloud console.

Cloud Composer synchronizes the dags/ and plugins/ folders uni-directionally. Unidirectional syncing means that local changes in these folders on an Airflow component are overwritten. The data/ and logs/ folders synchronize bidirectionally.

Important: The content of the data/ folder is synchronized to Airflow schedulers and workers. This folder is not synchronized to Airflow triggerers or the web server. Apply suggestions from the related known limitations to synchronize files to the Airflow web server.

Data synchronization is eventually consistent. To send messages from one operator to another, use XComs.

Capacity considerations

Data from dags/, plugins/ and data/ folders are synchronized to Airflow scheduler(s) and workers.

The contents of the plugins/ folder is synchronized to the Airflow web server.

The more data is put into these folders, the more space is occupied in the local storage of Airflow components. Saving too much data in dags/ and plugins/ can disrupt your operations and lead to issues such as:

• A worker or a scheduler runs out of local storage and is evicted because of insufficient space on the local disk of the component.

• Synchronization of files from dags/ and plugins/ folders to workers and schedulers takes a long time.

• Synchronizing files from dags/ and plugins/ folders to workers and schedulers becomes impossible. For example, you store a 2 GB file in the dags/ folder, but the local disk of an Airflow worker can only accommodate 1 GB. During the synchronization, the worker runs out of local storage and synchronization can't be completed.

DAGs and plugins folders

To avoid DAG run failures, store your DAGs, plugins, and Python modules in the dags/ or plugins/ folders, even if your Python modules don't contain DAGs or plugins.

For example, you use a DataFlowPythonOperator that references a py_file Dataflow pipeline. That py_file doesn't contain DAGs or plugins, but you must still store it in the dags/ or plugins/ folder.

Data folder

Important: In general, the contents of the data/ folder are not synchronized to Airflow components by default.

There are scenarios when certain files from the data/ folder are synchronized to a specific Airflow component. For example, when Cloud Composer attempts to read a given file for the first time during:

• DAG parsing: When a file is read for the first time during DAG parsing, Cloud Composer synchronizes it to the scheduler that parses the DAG.

• DAG execution: When a file is read for the first time during DAG execution, Cloud Composer synchronizes it to the worker running the execution.

Airflow components have limited local storage, so consider deleting downloaded files to free disk space in your components. Notice that local storage usage can also temporarily go up if you have concurrent tasks that download the same file to a single Airflow worker.

Note: Do not put Python modules required during the DAG parsing into the data/ folder. It can have a negative impact on your DAG parsing and task scheduling latency.

Logs folder

The logs/ folder is synchronized from Airflow workers to the environment's bucket using the Cloud Storage API.

Cloud Storage API quota is calculated by the amount of data moved, so the number of Airflow tasks your system runs can increase your Cloud Storage API usage: the more tasks you run, the bigger your log files.

Note: In rare cases you might be increasing log levels from INFO to DEBUG, as described in Troubleshooting DAGs. Note that such operations produce additional logs and could increase your syncing and storing costs.

Synchronization with the web server

The plugins/ folder is automatically synchronized to the web server so that plugins can be loaded by Airflow UI.

Important: The contents of the data/ folder aren't synchronized to the web server.

What's next

• View logs
• Manage DAGs
• Write DAGs