aws thin Dynamo client
npm install aws-thin-dynamo
!Build Status
The AWS JS SDK does a lot. For Lambdas is does too much; the "core" is loaded even for individual services like dynamo and includes things like an XML builder and lodash, which are rarely needed. This impacts the cold-start time of lambda's significantly.
On a 256mb Node Lambda
* 300-500ms to load the Full AWS SDK
* 150-250ms to just load the AWS SDK dynamo client (require('aws-sdk/clients/dynamodb'))
Compare that to aws-thin-dynamo on a 256mb lambda: ~15ms.
aws-thin-dynamo attempts to be a drop-in replacement for the API it does cover. For ease of use the callback parameter can be ommitted from all async calls to get a Promise instead.
As this attempts to duplicate the Official Client's API, you can use the AWS docs. Don't forget this client will return a promise if you don't provide a callback parameter.
``
npm i aws-thin-dynamo
`javascript
var dynamo = require('aws-thin-dynamo')
var client = dynamo({ region: 'us-west-2'})
// client is a API-compliant implemention of the AWS DocumentClient
`
The DocumentClient constructor supports some different options than the AWS version. They are below
* Missing options - The AWS DocumentClient constructor has these, this client does not
* service. To specify maximum retries or custom backoff timings, see belowremoveEmptyValues
* Additional options - The AWS Document client does not have these options, this client does
* - unlike convertEmptyValues which uses the DynamoDB Null type, this option will remove empty values entirely. This option has lower precedence than convertEmptyValues; if both are specified, this one is ignored.maxRetries
* - Maximum number of retries. (COMING SOON)retryBackoff
* - same as the retryDelayOptions.customBackoff that the DocumentClient's service option takes: a function with the signature (retryCount) => msToWait. (COMING SOON)agent
* - supply your own https Agent.useKeepAlive
* - when true this is a shorthand for using an https Agent with keepAlive turned on. This offers a significant performance benefit, but can cause issues in Lambdas if context.callbackWaitsForEmptyEventLoop = false is not set.
batchGet and batchWrite allow a maximum of 25 requests, and leave the retrying of "Unprocessed Items" to you. The most common goal with these functions is to retry all unprocessed requests and then move on to the next page, so this client provides two methods that can handle any number of items by breaking them into batches, and automatically retries Unprocessed items.
batchGetAll and batchWriteAll take the same parameters as batchGet and batchWrite, except
* No callback, they only support returning promisesparams.PageSize
* can control the maximum page size used. This number cannot be over 25, but AWS only supports requests of up to 16mb. If 25 items is higher than 16mb you will need to provide a page size small enough that each batch will be under the limit.
scanAll will auto page through the table, it takes the same parameters as scan except
* No callback, it only supports returning promises.ScanLimit
* - since Limit controls the maximum number of results per scan, ScanLimit will stop automatically paging after reaching ScannedCount (this is the number of items scanned, not the number of items returned). Since scan returns as many requests as it can under Limit, it is possible to get back more results than ScanLimit if the last scan start under the limit and finishes by crossing it.ItemLimit - Like
* ScanLimit except it stops are Count has been reached.
# Notes on load time
Lambdas take time to load code, the more code the more time. This cost is the work to parse and JIT, Minifying/Uglifying/Bundling the code does not make an impact. Because the CPU size of a lambda is bound to the memory, a 128mb lambda will load slower than a 256mb lambda. The CPU parse time has rapidly diminishing returns, and in most cases more than 512mb won't improve things by more than 1-3%. Since minifying your code doesn't impact the time it takes to load it the size of your code in KB can only give you a rough idea of how long it will take (The "Core" code in the AWS SDK is ~800kb, the aws-thin-dynamo client is ~30kb). Accurate information requires performance profiling.
When writing integration tests instead of mocking the database it is better to use tools like Dynalite to create an in-memory Dynamo database. The AWS SDK supports table creation, but including the sdk just to create tables for testing is a bit cumbersome. This library includes a small utilities class with createTable and deleteTable that take the same parameters as those on the SDK. These methods are not loaded normally by the library, so their presence should not impact cold start.
Example Use
``
const dynamoUtils = require('aws-thin-dynamo/src/testUtils')({
region: 'us-west-2',
endpoint: dynamoEndpoint // http://localhost:4567 for dynalite
})
dynamoUtils.createTable({ / params 8> }).then(/ ... */)