dynogels-lambda

dynogels-lambda is a DynamoDB data mapper for node.js. This project has been forked from Dynogels and republished to npm under a different name in order to support a smaller lambda function build.

Features

Simplified data modeling and mapping to DynamoDB types
Advanced chainable apis for query and scan operations
Data validation
Doesn't install the aws-sdk by default
Adds native promise support
Autogenerating UUIDs
Global Secondary Indexes
Local Secondary Indexes
Parallel Scans

Installation

npm install dynogels

Getting Started

First, you need to configure the AWS SDK with your credentials.

vardynogels=require('dynogels');dynogels.AWS.config.loadFromPath('credentials.json');

When running on EC2 it's recommended to leverage EC2 IAM roles. If you have configured your instance to use IAM roles, Vogels will automatically select these credentials for use in your application, and you do not need to manually provide credentials in any other format.

vardynogels=require('dynogels');dynogels.AWS.config.update({region: "REGION"});// region must be set

You can also directly pass in your access key id, secret and region.

It's recommended not to hard-code credentials inside an application. Use this method only for small personal scripts or for testing purposes.

vardynogels=require('dynogels');dynogels.AWS.config.update({accessKeyId: 'AKID',secretAccessKey: 'SECRET',region: "REGION"});

Currently the following region codes are available in Amazon:

Code	Name
ap-northeast-1	Asia Pacific (Tokyo)
ap-southeast-1	Asia Pacific (Singapore)
ap-southeast-2	Asia Pacific (Sydney)
eu-central-1	EU (Frankfurt)
eu-west-1	EU (Ireland)
sa-east-1	South America (Sao Paulo)
us-east-1	US East (N. Virginia)
us-west-1	US West (N. California)
us-west-2	US West (Oregon)

Define a Model

Models are defined through the toplevel define method.

varAccount=dynogels.define('Account',{hashKey : 'email',// add the timestamp attributes (updatedAt, createdAt)timestamps : true,schema : {email : Joi.string().email(),name : Joi.string(),age : Joi.number(),roles : dynogels.types.stringSet(),settings : {nickname : Joi.string(),acceptedTerms : Joi.boolean().default(false)}}});

Models can also be defined with hash and range keys.

varBlogPost=dynogels.define('BlogPost',{hashKey : 'email',rangeKey : ‘title’,schema : {email : Joi.string().email(),title : Joi.string(),content : Joi.binary(),tags : dynogels.types.stringSet(),}});

You can pass through validation options to Joi like so:

varBlogPost=dynogels.define('BlogPost',{hashKey : 'email',rangeKey : 'title',schema : {email : Joi.string().email(),title : Joi.string()},validation: {// allow properties not defined in the schemaallowUnknown: true}});

Create Tables for all defined models

dynogels.createTables(function(err){if(err){console.log('Error creating tables: ',err);}else{console.log('Tables have been created');}});

When creating tables you can pass specific throughput settings or stream specification for any defined models.

dynogels.createTables({'BlogPost': {readCapacity: 5,writeCapacity: 10},'Account': {readCapacity: 20,writeCapacity: 4,streamSpecification: {streamEnabled: true,streamViewType: 'NEW_IMAGE'}}},function(err){if(err){console.log('Error creating tables: ',err);}else{console.log('Tables has been created');}});

You can also pass operational options using the $dynogels key:

pollingInterval: When creating a table, Dynogels must poll the DynamoDB server to detect when table creation has completed. This option specifies the minimum poll interval, in milliseconds. (Default: 1000)

dynogels.createTables({$dynogels: {pollingInterval: 100}},function(err){if(err){console.log('Error creating tables: ',err);}else{console.log('Tables has been created');}});

Delete Table

BlogPost.deleteTable(function(err){if(err){console.log('Error deleting table: ',err);}else{console.log('Table has been deleted');}});

Schema Types

Vogels provides the following schema types:

String
Number
StringSet
NumberSet
Boolean
Date
UUID
TimeUUID

UUID

UUIDs can be declared for any attributes, including hash and range keys. By Default, the uuid will be automatically generated when attempting to create the model in DynamoDB.

varTweet=dynogels.define('Tweet',{hashKey : 'TweetID',timestamps : true,schema : {TweetID : dynogels.types.uuid(),content : Joi.string(),}});

Configuration

You can configure dynogels to automatically add createdAt and updatedAt timestamp attributes when saving and updating a model. updatedAt will only be set when updating a record and will not be set on initial creation of the model.

varAccount=dynogels.define('Account',{hashKey : 'email',// add the timestamp attributes (updatedAt, createdAt)timestamps : true,schema : {email : Joi.string().email(),}});

If you want dynogels to handle timestamps, but only want some of them, or want your timestamps to be called something else, you can override each attribute individually:

varAccount=dynogels.define('Account',{hashKey : 'email',// enable timestamps supporttimestamps : true,// I don't want createdAtcreatedAt: false,// I want updatedAt to actually be called updateTimestampupdatedAt: 'updateTimestamp'schema : {email : Joi.string().email(),}});

You can override the table name the model will use.

varEvent=dynogels.define('Event',{hashKey : 'name',schema : {name : Joi.string(),total : Joi.number()},tableName: 'deviceEvents'});

if you set the tableName to a function, dynogels will use the result of the function as the active table to use. Useful for storing time series data.

varEvent=dynogels.define('Event',{hashKey : 'name',schema : {name : Joi.string(),total : Joi.number()},// store monthly event datatableName: function(){vard=newDate();return['events',d.getFullYear(),d.getMonth()+1].join('_');}});

After you've defined your model you can configure the table name to use. By default, the table name used will be the lowercased and pluralized version of the name you provided when defining the model.

Account.config({tableName: 'AccountsTable'});

You can also pass in a custom instance of the aws-sdk DynamoDB client

vardynamodb=newAWS.DynamoDB();Account.config({dynamodb: dynamodb});// or globally use custom DynamoDB instance// all defined models will now use this driverdynogels.dynamoDriver(dynamodb);

Saving Models to DynamoDB

With your models defined, we can start saving them to DynamoDB.

Account.create({email: 'foo@example.com',name: 'Foo Bar',age: 21},function(err,acc){console.log('created account in DynamoDB',acc.get('email'));});

You can also first instantiate a model and then save it.

varacc=newAccount({email: 'test@example.com',name: 'Test Example'});acc.save(function(err){console.log('created account in DynamoDB',acc.get('email'));});

Saving models that require range and hashkeys are identical to ones with only hashkeys.

BlogPost.create({email: 'werner@example.com',title: 'Expanding the Cloud',content: 'Today, we are excited to announce the limited preview...'},function(err,post){console.log('created blog post',post.get('title'));});

Pass an array of items and they will be saved in parallel to DynamoDB.

varitem1={email: 'foo1@example.com',name: 'Foo 1',age: 10};varitem2={email: 'foo2@example.com',name: 'Foo 2',age: 20};varitem3={email: 'foo3@example.com',name: 'Foo 3',age: 30};Account.create([item1,item2,item3],function(err,acccounts){console.log('created 3 accounts in DynamoDB',accounts);});

Use expressions api to do conditional writes

varparams={};params.ConditionExpression='#i <> :x';params.ExpressionAttributeNames={'#i' : 'id'};params.ExpressionAttributeValues={':x' : 123};User.create({id : 123,name : 'Kurt Warner'},params,function(error,acc){ ... });

Use the overwrite option to prevent over writing of existing records.

By default overwrite is set to true, allowing create operations to overwrite existing records

// setting overwrite to false will generate// the same Condition Expression as in the previous exampleUser.create({id : 123,name : 'Kurt Warner'},{overwrite : false},function(error,acc){ ... });

Updating

When updating a model the hash and range key attributes must be given, all other attributes are optional

// update the name of the foo@example.com accountAccount.update({email: 'foo@example.com',name: 'Bar Tester'},function(err,acc){console.log('update account',acc.get('name'));});

Model.update accepts options to pass to DynamoDB when making the updateItem request

Account.update({email: 'foo@example.com',name: 'Bar Tester'},{ReturnValues: 'ALL_OLD'},function(err,acc){console.log('update account',acc.get('name'));// prints the old account name});// Only update the account if the current age of the account is 22Account.update({email: 'foo@example.com',name: 'Bar Tester'},{expected: {age: 22}},function(err,acc){console.log('update account',acc.get('name'));});// setting an attribute to null will delete the attribute from DynamoDBAccount.update({email: 'foo@example.com',age: null},function(err,acc){console.log('update account',acc.get('age'));// prints null});

To ensure that an item exists before updating, use the expected parameter to check the existence of the hash key. The hash key must exist for every DynamoDB item. This will return an error if the item does not exist.

Account.update({email: 'foo@example.com',name: 'FooBar Testers'},{expected: {email: {Exists: true}}},(err,acc)=>{console.log(acc.get('name'));// FooBar Testers});Account.update({email: 'baz@example.com',name: 'Bar Tester'},{expected: {email: {Exists: true}}},(err,acc)=>{console.log(err);// Condition Expression failed: no Account with that hash key});

This is essentially short-hand for:

varparams={};params.ConditionExpression='attribute_exists(#hashKey)';params.ExpressionAttributeNames={'#hashKey' : 'email'};

You can also pass what action to perform when updating a given attribute Use $add to increment or decrement numbers and add values to sets

Account.update({email : 'foo@example.com',age : {$add : 1}},function(err,acc){console.log('incremented age by 1',acc.get('age'));});BlogPost.update({email : 'werner@example.com',title : 'Expanding the Cloud',tags : {$add : 'cloud'}},function(err,post){console.log('added single tag to blog post',post.get('tags'));});BlogPost.update({email : 'werner@example.com',title : 'Expanding the Cloud',tags : {$add : ['cloud','dynamodb']}},function(err,post){console.log('added tags to blog post',post.get('tags'));});

$del will remove values from a given set

BlogPost.update({email : 'werner@example.com',title : 'Expanding the Cloud',tags : {$del : 'cloud'}},function(err,post){console.log('removed cloud tag from blog post',post.get('tags'));});BlogPost.update({email : 'werner@example.com',title : 'Expanding the Cloud',tags : {$del : ['aws','node']}},function(err,post){console.log('removed multiple tags',post.get('tags'));});

Use the expressions api to update nested documents

varparams={};params.UpdateExpression='SET #year = #year + :inc, #dir.titles = list_append(#dir.titles, :title), #act[0].firstName = :firstName ADD tags :tag';params.ConditionExpression='#year = :current';params.ExpressionAttributeNames={'#year' : 'releaseYear','#dir' : 'director','#act' : 'actors'};params.ExpressionAttributeValues={':inc' : 1,':current' : 2001,':title' : ['The Man'],':firstName' : 'Rob',':tag' : dynogels.Set(['Sports','Horror'],'S')};Movie.update({title : 'Movie 0',description : 'This is a description'},params,function(err,mov){});

Deleting

You delete items in DynamoDB using the hashkey of model If your model uses both a hash and range key, then both need to be provided

Account.destroy('foo@example.com',function(err){console.log('account deleted');});// Destroy model using hash and range keyBlogPost.destroy('foo@example.com','Hello World!',function(err){console.log('post deleted')});BlogPost.destroy({email: 'foo@example.com',title: 'Another Post'},function(err){console.log('another post deleted')});

Model.destroy accepts options to pass to DynamoDB when making the deleteItem request

Account.destroy('foo@example.com',{ReturnValues: 'ALL_OLD'},function(err,acc){console.log('account deleted');console.log('deleted account name',acc.get('name'));});Account.destroy('foo@example.com',{expected: {age: 22}},function(err){console.log('account deleted if the age was 22');});

Use expression apis to perform conditional deletes

varparams={};params.ConditionExpression='#v = :x';params.ExpressionAttributeNames={'#v' : 'version'};params.ExpressionAttributeValues={':x' : '2'};User.destroy({id : 123},params,function(err,acc){});

Loading models from DynamoDB

The simpliest way to get an item from DynamoDB is by hashkey.

Account.get('test@example.com',function(err,acc){console.log('got account',acc.get('email'));});

Perform the same get request, but this time peform a consistent read.

Account.get('test@example.com',{ConsistentRead: true},function(err,acc){console.log('got account',acc.get('email'));});

Model.get accepts any options that DynamoDB getItem request supports. For example:

Account.get('test@example.com',{ConsistentRead: true,AttributesToGet : ['name','age']},function(err,acc){console.log('got account',acc.get('email'))console.log(acc.get('name'));console.log(acc.get('age'));console.log(acc.get('email'));// prints null});

Get a model using hash and range key.

// load up blog post written by Werner, titled DynamoDB Keeps Getting Better and cheaperBlogPost.get('werner@example.com','dynamodb-keeps-getting-better-and-cheaper',function(err,post){console.log('loaded post by range and hash key',post.get('content'));});

Model.get also supports passing an object which contains hash and range key attributes to load up a model

BlogPost.get({email: 'werner@example.com',title: 'Expanding the Cloud'},function(err,post){console.log('loded post',post.get('content'));});

Use expressions api to select which attributes you want returned

User.get({id : '123456789'},{ProjectionExpression : 'email, age, settings.nickname'},function(err,acc){});

Query

For models that use hash and range keys Vogels provides a flexible and chainable query api

// query for blog posts by werner@example.comBlogPost.query('werner@example.com').exec(callback);// same as above, but load all resultsBlogPost.query('werner@example.com').loadAll().exec(callback);// only load the first 5 posts by wernerBlogPost.query('werner@example.com').limit(5).exec(callback);// query for posts by werner where the tile begins with 'Expanding'BlogPost.query('werner@example.com').where('title').beginsWith('Expanding').exec(callback);// return only the count of documents that begin with the title ExpandingBlogPost.query('werner@example.com').where('title').beginsWith('Expanding').select('COUNT').exec(callback);// query the first 10 posts by werner@example.com but only return// the title and content from posts where the title starts with 'Expanding'// WARNING: See notes below on the implementation of limit in DynamoDBBlogPost.query('werner@example.com').where('title').beginsWith('Expanding').attributes(['title','content']).limit(10).exec(callback);// sorting by title ascendingBlogPost.query('werner@example.com').ascending().exec(callback)// sorting by title descendingBlogPost.query('werner@example.com').descending().exec(callback)// All query options are chainableBlogPost.query('werner@example.com').where('title').gt('Expanding').attributes(['title','content']).limit(10).ascending().loadAll().exec(callback);// Traversing Map Data TypesAccount.query('werner@example.com').filter('settings.acceptedTerms').equals(true).exec(callback);

Warning, limit is applied first before the where filter. The limit value limits the scanned count, not the number of returned items. See #12

Vogels supports all the possible KeyConditions that DynamoDB currently supports.

BlogPost.query('werner@example.com').where('title').equals('Expanding').exec();// less than equalsBlogPost.query('werner@example.com').where('title').lte('Expanding').exec();// less thanBlogPost.query('werner@example.com').where('title').lt('Expanding').exec();// greater thanBlogPost.query('werner@example.com').where('title').gt('Expanding').exec();// greater than equalsBlogPost.query('werner@example.com').where('title').gte('Expanding').exec();// attribute doesn't existBlogPost.query('werner@example.com').where('title').null().exec();// attribute existsBlogPost.query('werner@example.com').where('title').exists().exec();BlogPost.query('werner@example.com').where('title').beginsWith('Expanding').exec();BlogPost.query('werner@example.com').where('title').between('foo@example.com','test@example.com').exec();

Query Filters allow you to further filter results on non-key attributes.

BlogPost.query('werner@example.com').where('title').equals('Expanding').filter('tags').contains('cloud').exec();

Expression Filters also allow you to further filter results on non-key attributes.

BlogPost.query('werner@example.com').filterExpression('#title < :t').expressionAttributeValues({':t' : 'Expanding'}).expressionAttributeNames({'#title' : 'title'}).projectionExpression('#title, tag').exec();

See the queryFilter.js example for more examples of using query filters

Global Indexes

First, define a model with a global secondary index.

varGameScore=dynogels.define('GameScore',{hashKey : 'userId',rangeKey : 'gameTitle',schema : {userId : Joi.string(),gameTitle : Joi.string(),topScore : Joi.number(),topScoreDateTime : Joi.date(),wins : Joi.number(),losses : Joi.number()},indexes : [{hashKey : 'gameTitle',rangeKey : 'topScore',name : 'GameTitleIndex',type : 'global'}]});

Now we can query against the global index

GameScore.query('Galaxy Invaders').usingIndex('GameTitleIndex').descending().exec(callback);

When can also configure the attributes projected into the index. By default all attributes will be projected when no Projection pramater is present

varGameScore=dynogels.define('GameScore',{hashKey : 'userId',rangeKey : 'gameTitle',schema : {userId : Joi.string(),gameTitle : Joi.string(),topScore : Joi.number(),topScoreDateTime : Joi.date(),wins : Joi.number(),losses : Joi.number()},indexes : [{hashKey : 'gameTitle',rangeKey : 'topScore',name : 'GameTitleIndex',type : 'global',projection: {NonKeyAttributes: ['wins'],ProjectionType: 'INCLUDE'}//optional, defaults to ALL}]});

Filter items against the configured rangekey for the global index.

GameScore.query('Galaxy Invaders').usingIndex('GameTitleIndex').where('topScore').gt(1000).descending().exec(function(err,data){console.log(_.map(data.Items,JSON.stringify));});

Local Secondary Indexes

First, define a model using a local secondary index

varBlogPost=dynogels.define('Account',{hashKey : 'email',rangeKey : 'title',schema : {email : Joi.string().email(),title : Joi.string(),content : Joi.binary(),PublishedDateTime : Joi.date()},indexes : [{hashKey : 'email',rangeKey : 'PublishedDateTime',type : 'local',name : 'PublishedIndex'}]});

Now we can query for blog posts using the secondary index

BlogPost.query('werner@example.com').usingIndex('PublishedIndex').descending().exec(callback);

Could also query for published posts, but this time return oldest first

BlogPost.query('werner@example.com').usingIndex('PublishedIndex').ascending().exec(callback);

Finally lets load all published posts sorted by publish date

BlogPost.query('werner@example.com').usingIndex('PublishedIndex').descending().loadAll().exec(callback);

Learn more about secondary indexes

Scan

Vogels provides a flexible and chainable api for scanning over all your items This api is very similar to the query api.

// scan all accounts, returning the first page or resultsAccount.scan().exec(callback);// scan all accounts, this time loading all results// note this will potentially make several calls to DynamoDB// in order to load all resultsAccount.scan().loadAll().exec(callback);// Load 20 accountsAccount.scan().limit(20).exec();// Load All accounts, 20 at a time per requestAccount.scan().limit(20).loadAll().exec();// Load accounts which match a filter// only return email and created attributes// and return back the consumed capacity the request tookAccount.scan().where('email').gte('f@example.com').attributes(['email','created']).returnConsumedCapacity().exec();// Load All accounts, if settings.acceptedTerms is trueAccount.scan().where('settings.acceptedTerms').equals(true).exec();// Returns number of matching accounts, rather than the matching accounts themselvesAccount.scan().where('age').gte(21).select('COUNT').exec();// Start scan using start keyAccount.scan().where('age').notNull().startKey('foo@example.com').exec()

Vogels supports all the possible Scan Filters that DynamoDB currently supports.

// equalsAccount.scan().where('name').equals('Werner').exec();// not equalsAccount.scan().where('name').ne('Werner').exec();// less than equalsAccount.scan().where('name').lte('Werner').exec();// less thanAccount.scan().where('name').lt('Werner').exec();// greater than equalsAccount.scan().where('name').gte('Werner').exec();// greater thanAccount.scan().where('name').gt('Werner').exec();// name attribute doesn't existAccount.scan().where('name').null().exec();// name attribute existsAccount.scan().where('name').notNull().exec();// containsAccount.scan().where('name').contains('ner').exec();// not containsAccount.scan().where('name').notContains('ner').exec();// inAccount.scan().where('name').in(['foo@example.com','bar@example.com']).exec();// begins withAccount.scan().where('name').beginsWith('Werner').exec();// betweenAccount.scan().where('name').between('Bar','Foo').exec();// multiple filtersAccount.scan().where('name').equals('Werner').where('age').notNull().exec();

You can also use the new expressions api when filtering scans

User.scan().filterExpression('#age BETWEEN :low AND :high AND begins_with(#email, :e)').expressionAttributeValues({':low' : 18,':high' : 22,':e' : 'test1'}).expressionAttributeNames({'#age' : 'age','#email' : 'email'}).projectionExpression('#age, #email').exec();

Parallel Scan

Parallel scans increase the throughput of your table scans. The parallel scan operation is identical to the scan api. The only difference is you must provide the total number of segments

Caution you can easily consume all your provisioned throughput with this api

vartotalSegments=8;Account.parallelScan(totalSegments).where('age').gte(18).attributes('age').exec(callback);// Load All accountsAccount.parallelScan(totalSegments).exec()

More info on Parallel Scans

Batch Get Items

Model.getItems allows you to load multiple models with a single request to DynamoDB.

DynamoDB limits the number of items you can get to 100 or 1MB of data for a single request. Vogels automatically handles splitting up into multiple requests to load all items.

Account.getItems(['foo@example.com','bar@example.com','test@example.com'],function(err,accounts){console.log('loaded '+accounts.length+' accounts');// prints loaded 3 accounts});// For models with range keys you must pass in objects of hash and range key attributesvarpostKey1={email : 'test@example.com',title : 'Hello World!'};varpostKey2={email : 'test@example.com',title : 'Another Post'};BlogPost.getItems([postKey1,postKey2],function(err,posts){console.log('loaded posts');});

Model.getItems accepts options which will be passed to DynamoDB when making the batchGetItem request

// Get both accounts, using a consistent readAccount.getItems(['foo@example.com','bar@example.com'],{ConsistentRead: true},function(err,accounts){console.log('loaded '+accounts.length+' accounts');// prints loaded 2 accounts});

Streaming api

dynogels supports a basic streaming api in addition to the callback api for query, scan, and parallelScan operations.

varstream=Account.parallelScan(4).exec();stream.on('readable',function(){console.log('single parallel scan response',stream.read());});stream.on('end',function(){console.log('Parallel scan of accounts finished');});varquerystream=BlogPost.query('werner@dynogels.com').loadAll().exec();querystream.on('readable',function(){console.log('single query response',stream.read());});querystream.on('end',function(){console.log('query for blog posts finished');});

Dynamic Table Names

dynogels supports dynamic table names, useful for storing time series data.

varEvent=dynogels.define('Event',{hashKey : 'name',schema : {name : Joi.string(),total : Joi.number()},// store monthly event datatableName: function(){vard=newDate();return['events',d.getFullYear(),d.getMonth()+1].join('_');}});

Logging

A logger that implements info and warn methods (e.g Bunyan or Winston) can be provided to either dynogels itself or individual models:

constlogger=require('winston');logger.level='warn';dynogels.log=logger;// enabled WARN log level on all tables

constaccountLogger=require('winston');accountLogger.level='info';varAccount=dynogels.define('Account',{hashKey: 'email',log: accountLogger});// INFO level on account table

Bunyan log levels

Examples

vardynogels=require('dynogels');varAccount=dynogels.define('Account',{hashKey : 'email',// add the timestamp attributes (updatedAt, createdAt)timestamps : true,schema : {email : Joi.string().email(),name : Joi.string().required(),age : Joi.number(),}});Account.create({email: 'test@example.com',name : 'Test Account'},function(err,acc){console.log('created account at',acc.get('created'));// prints created Dateacc.set({age: 22});acc.update(function(err){console.log('updated account age');});});

See the examples for more working sample code.

Support

Dynogels is provided as-is, free of charge. For support, you have a few choices:

Ask your support question on Stackoverflow.com, and tag your question with dynogels.
If you believe you have found a bug in dynogels, please submit a support ticket on the Github Issues page for dynogels. We'll get to them as soon as we can.
For general feedback message me on twitter
For more personal or immediate support, I’m available for hire to consult on your project. Contact me for more detals.

Maintainers

License

(The MIT License)

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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examples		examples
lib		lib
test		test
.editorconfig		.editorconfig
.eslintignore		.eslintignore
.eslintrc.json		.eslintrc.json
.gitignore		.gitignore
.npmignore		.npmignore
.travis.yml		.travis.yml
CHANGELOG.md		CHANGELOG.md
LICENSE		LICENSE
Makefile		Makefile
README.md		README.md
index.js		index.js
package.json		package.json

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dynogels-lambda

Features

Installation

Getting Started

Define a Model

Create Tables for all defined models

Delete Table

Schema Types

UUID

Configuration

Saving Models to DynamoDB

Updating

Deleting

Loading models from DynamoDB

Query

Global Indexes

Local Secondary Indexes

Scan

Parallel Scan

Batch Get Items

Streaming api

Dynamic Table Names

Logging

Examples

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dynogels-lambda

Features

Installation

Getting Started

Define a Model

Create Tables for all defined models

Delete Table

Schema Types

UUID

Configuration

Saving Models to DynamoDB

Updating

Deleting

Loading models from DynamoDB

Query

Global Indexes

Local Secondary Indexes

Scan

Parallel Scan

Batch Get Items

Streaming api

Dynamic Table Names

Logging

Examples

Support

Maintainers

License

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