README.md

AWS Aurora Data API Client

A decorator for the AWS Data API for Aurora Serverless. It decorates and abstracts the Amazon SDK's implementation to make it feel more like a traditional MySQL wrapper than an HTTP based web service. It is written in Typescript and provides type-aware return objects which allows for better support in Typescript-based solutions.

Installation

npm install rds-data

Example Usage

The decoration allows you to query, insert and update information like you would traditionally do with MySQL.

Selecting information

import { RDSDatabase } from "rds-data";

const params = {
    region: "us-east-1",
    secretArn: arn:aws:secretsmanager:us-east-1:xxxx:secret:yyyy,
    resourceArn: arn:aws:rds:us-east-1:xxxx:cluster:yyyy,
    database: dbname
};

const db = new RDSDatabase(params).getInstance();
const results = db.query( "SELECT id, name FROM NameTable WHERE name = :name", { name: "Chris Schuld" });

assert( results.data.length === 1);
assert( results.data[0].name.string === "Chris Schuld" );

Inserting Information

const results = db.query( "INSERT INTO Name (id, name) VALUES(null, :name)", { name: "Chris Schuld" });

assert( results.insertId === X); // the id of the insert (MySQL only, for PostgreSQL, use RETURNING in your SQL statement)
assert( results.numberOfRecordsUpdated === 1 ); // note that this is always 0 when using the RETURNING clause in PostgreSQL

Updating Information

const results = db.query( "UPDATE Name SET name = :name WHERE id = :id LIMIT 1", { id: 10, name: "Chris Schuld" });

assert( results.numberOfRecordsUpdated === 1 );

Transaction Examples

await rds.transaction().then(async (transactionId) => {
    await rds.query("INSERT INTO Name (name) VALUES(:name)",{ name: "Jules Winnfield" }, transactionId);
    await rds.query("INSERT INTO Name (name) VALUES(:name)", { name: "Vincent Vega" }, transactionId);
    await rds.query("INSERT INTO Name (name) VALUES(:name)", { name: "Marsellus Wallace" }, transactionId);
    await rds.commit(transactionId);
});

    // can do a rollback easily
    await rds.rollback(transactionId);

Typed Results

When a response comes back from the decorator it is stored in an instance of ColumnValue which provides typed results. Here is an example of pulling a date, a string and a number

const db = new RDSDatabase(params).getInstance();
const results = db.query( "SELECT born, name, age FROM Names WHERE name = :name", { name: "Scarlett Johansson" });

for(const result of results.data) {
  const born = result.date; // Date() instance === 1984-11-22
  const name = result.string; // string instance === "Scarlett Johansson"
  const age = result.number; // integer primitive === 35
}

Types

When a response comes in the RDSData returns it already typed for you. Depending on the column type it also may coerce or represent the value in another "type."

Results are managed from the following database types into result types:

Database Type	RDSData Type	Description
BINARY	row.buffer	converts the blob value into a new Buffer
BINARY	row.string	converts the binary value into a string
BIT	row.boolean	converts the bit into boolean
BIT	row.number	converts the bit to either a 1 or a 0
TIMESTAMP, DATETIME and DATE	row.date	a parsed instance of new Date()
TIMESTAMP, DATETIME and DATE	row.string	the string value of the date/time ISO8601
TIMESTAMP, DATETIME and DATE	row.number	timestamp value of the column
INT, INT UNSIGNED, BIGINT, BIGINT UNSIGNED	row.number	numeric value
TEXT, CHAR, VARCHAR	row.string	string value

Overview

Amazon AWS produces a Data API for Aurora Serverless which is a great API if you are building serverless solutions. One of the consistent challenges with serverless lambda in a VPC has extended cold start times and does not have access to the outside world unless you stand up a NAT Gateway. Thus, inside the VPC you can see your Aurora instances but you cannot see the outside world. The API provides a nice way to exist in the traditional lambda pool but still access your private LAN Aurora instance. The API also helps with connection pooling and other challenges with building serverless applications that may end up with aggressive concurrency.

Setup and Configuration

The following are the options for setting up the RDSDatabase.

Property	Type	Description
resourceArn	string	required - the ARN of your Aurora Serverless Cluster.
secretArn	string	required - the ARN of the secret associated with your database credentials.
database	string	required - the name of the database.
region	string	optional - AWS region to use (defaults to the AWS-SDK default.

Enabling Data API

In order to use the Data API, you must enable it on your Aurora Serverless Cluster and create a Secret. You also must grant your execution environment a number of permission (see below):

Enable Data API on your Aurora Serverless Cluster

You need to modify your Aurora Serverless cluster by clicking "ACTIONS" and then "Modify Cluster". Just check the Data API box in the Network & Security section and you are done. Your Aurora Serverless cluster still runs in a VPC, even though you do not need to run your Lambdas in a VPC to access it via the Data API.

Setup a secret in the Secrets Manager

Next you need to setup a secret in the Secrets Manager. Username, password, encryption key (the default encryption key is probably fine for you), and select the database you want to access with the secret.

Next we give it a name, this is important, because this will be part of the arn when we set up permissions.

You can then configure your rotation settings, if you want, and then you review and create your secret. Then you can click on your newly created secret and grab the arn, we’re gonna need that next.

Required Permissions for Serverless

In order to use the Data API, your execution environment requires several IAM permissions. Below are the minimum permissions required.

YAML:

Statement:
  - Effect: "Allow"
    Action:
      - "rds-data:ExecuteSql"
      - "rds-data:ExecuteStatement"
      - "rds-data:BatchExecuteStatement"
      - "rds-data:BeginTransaction"
      - "rds-data:RollbackTransaction"
      - "rds-data:CommitTransaction"
    Resource: "arn:aws:rds:{REGION}:{ACCOUNT-ID}:cluster:{YOUR-CLUSTER-NAME}"
  - Effect: "Allow"
    Action:
      - "secretsmanager:GetSecretValue"
    Resource: "arn:aws:secretsmanager:{REGION}:{ACCOUNT-ID}:secret:{PATH-TO-SECRET}/*"

JSON:

"Statement" : [
  {
    "Effect": "Allow",
    "Action": [
      "rds-data:ExecuteSql",
      "rds-data:ExecuteStatement",
      "rds-data:BatchExecuteStatement",
      "rds-data:BeginTransaction",
      "rds-data:RollbackTransaction",
      "rds-data:CommitTransaction"
    ],
    "Resource": "arn:aws:rds:{REGION}:{ACCOUNT-ID}:cluster:{YOUR-CLUSTER-NAME}"
  },
  {
    "Effect": "Allow",
    "Action": [ "secretsmanager:GetSecretValue" ],
    "Resource": "arn:aws:secretsmanager:{REGION}:{ACCOUNT-ID}:secret:{PATH-TO-SECRET}/*"
  }
]

Special Thanks

Special thanks to Jeremy Daly whom was an early adopter of the RDS Data API as well and provides a similar package called the data-api-client. A lot of his work is similar but less type aware. Additionally portions of this readme are extracted from Jeremy's work!

Additionally, a huge thank you to Mark Herhold for helping to add all of the CI/GH Actions integration as well as providing additional work on the library at large. The library is better because of his work.