Package: serverless-aurora
This is a fork of aurora-data-api:https://github.com/chanzuckerberg/aurora-data-apiInstallationpip install aurora-data-apiPrerequisitesSet up anAWS Aurora Serverless clusterand enable Data API access for it. If you have previously set up an Aurora Serverless cluster, you can enable Data API
with the followingAWS CLIcommand:aws rds modify-db-cluster --db-cluster-identifier DB_CLUSTER_NAME --enable-http-endpoint --apply-immediatelySave the database credentials inAWS Secrets Managerusing a format
expected by the Data API (a JSON object with the keysusernameandpassword):aws secretsmanager put-secret-value --secret-id MY_DB_CREDENTIALS --secret-string "$(jq -n '.username=env.PGUSER | .password=env.PGPASSWORD')"Configure your AWS command line credentials usingstandard AWS conventions.
You can verify that everything works correctly by running a test query via the AWS CLI:aws rds-data execute-statement --resource-arn RESOURCE_ARN --secret-arn SECRET_ARN --sql "select * from pg_catalog.pg_tables"UsageUse this module as you would use any DB-API compatible driver module. Theaurora_data_api.connect()method is
the standard main entry point, and accepts two implementation-specific keyword arguments:aurora_cluster_arn(also referred to asresourceArnin theData API documentation)
* If not given as a keyword argument, this can also be specified using theAURORA_CLUSTER_ARNenvironment variablesecret_arn(the database credentials secret)
* If not given as a keyword argument, this can also be specified using theAURORA_SECRET_ARNenvironment variableimportaurora_data_apicluster_arn="arn:aws:rds:us-east-1:123456789012:cluster:my-aurora-serverless-cluster"secret_arn="arn:aws:secretsmanager:us-east-1:123456789012:secret:MY_DB_CREDENTIALS"withaurora_data_api.connect(aurora_cluster_arn=cluster_arn,secret_arn=secret_arn,database="my_db")asconn:withconn.cursor()ascursor:cursor.execute("select * from pg_catalog.pg_tables")print(cursor.fetchall())The cursor supports iteration (and automatically wraps the query in a server-side cursor and paginates it if required):withconn.cursor()ascursor:forrowincursor.execute("select * from pg_catalog.pg_tables"):print(row)MotivationTheRDS Data APIis the link between the
AWS Lambda serverless environment and the sophisticated features provided by PostgreSQL and MySQL. The Data API tunnels
SQL over HTTP, which has advantages in the context of AWS Lambda:It eliminates the need to open database ports to the AWS Lambda public IP address poolIt uses stateless HTTP connections instead of stateful internal TCP connection pools used by most database drivers
(the stateful pools become invalid after going throughAWS Lambda freeze-thaw cycles, causing
connection errors and burdening the database server with abandoned invalid connections)It uses AWS role-based authentication, eliminating the need for the Lambda to handle database credentials directlyLinksProject home page (GitHub)Documentation (Read the Docs)Package distribution (PyPI)Change logsqlalchemy-aurora-data-api, a SQLAlchemy dialect
that uses aurora-data-apiBugsPlease report bugs, issues, feature requests, etc. onGitHub.LicenseLicensed under the terms of theApache License, Version 2.0.