dynamico v1.2.3

dynamico

This DynamoDB ORM for node.js aims to provide a beautiful, simple and complete implementation to work with dynamodb databases. You can easily select a table and start querying/writing data, from simple requests to conditional ones without prior knowledge.

Current features:

• Expression Abstraction: Condition, Attribute values/names, Projections, Filters, KeyConditions
• Conditional Requests: Add, update, delete and query conditionally
• Attribute Functions: begins_with, contains, typeIs, in
• Incrementing Decrementing
• List, Set Append/Remove
• Attribute Removal

This is a fork of dynamo-node with additional features below:

• adds scanAll method to handle pagination of the scan results
• fixes credentials

Requirements

Install package from npm or yarn

> npm i dynamico

You can either set your AWS credentials as env variables or as a JSON file

// AWS credentials as JSON file
{
  "accessKeyId": "myKey",
  "secretAccessKey": "yourSecret",
}

Require module

const DynamoDB = require('dynamico')({
  region: 'eu-central-1'
})

Usage

Tables

Inits your table, or sets tablename for further creation

// "users" refers to the TableName we want to query from
const UserTable = DynamoDB.select('users')

Create

Attribute types association

UserTable.createTable({
  KeySchema: [
    {AttributeName: "name", KeyType: "HASH"},  //Partition key
    {AttributeName: "uid", KeyType: "RANGE"}  //Sort key
  ],
  AttributeDefinitions: [
    {AttributeName: "uid", AttributeType: "N"},
    {AttributeName: "name", AttributeType: "S"}
  ],
  ProvisionedThroughput: {
    ReadCapacityUnits: 10,
    WriteCapacityUnits: 10
  }
})

Delete

UserTable.deleteTable()

Items

Add

UserTable.add({
  name: "abdu", // Primary Key
  participants: ["A", "B", "C", "D"],
  last: "D"
})

Get

UserTable.get({ name: "abdu" })

Update

// if "abdu" doesn't exist, it will be added (upsert)
UserTable.update({ name: "abdu" }, {
  friends: ["abdu", "chris"],
  points: 450,
})

// nested properties, assuming clothes is set and is of type Map
UserTable.update({ name: "abel" }, {
  'clothes.shirts': 10,
  'clothes.polos': 3
})

UserTable.update(key, attributes, 'OLD') // returns item's pre-update state
UserTable.update(key, attributes, 'UPD') // default, returns only updated attributes
UserTable.update(key, attributes, 'NEW') // returns item's post-update state

Delete

UserTable.delete({ name: "abdu" })

Query

UserTable.query('name', '=', 'abdu')

// Using global secondary index
UserTable.useIndex('age-index').query('age', '=', 5)

Scan

Returns items from table with limit

UserTable.scan()

ScanAll

Returns all items from table which is a very expensive directive

UserTable.scanAll()

Conditional Queries

Check if attribute exists

const newUser = { name: "abel", age: 34 }

UserTable.exists('name').add(newUser)
UserTable.exists( ['name', 'age'] ).add(newUser)

UserTable.notExists('name').add(newUser)
UserTable.notExists( ['name', 'age'] ).add(newUser)

Attribute comparison

const hector = { name: "hector" }

UserTable.add({ name: "hector", last_connection: 50, age: 10, friends: { nice: 0, bad: 10 } })

// Deletes it
UserTable
  .if('last_connection', '>', 30 )
  .if('last_connection', '<', 100)
  .if('age', '<>', 90) // different than
  .delete(hector)

// Updates it
UserTable
  .if('last_connection', '=', 50)
  .if('friends.bad', '>=', 0)
  .if('age', '<=', 10)
  .update(hector, { candy: 1 })

Attribute functions

beginsWith

• matches a substring with the beggining of an attribute

// Updates user if nickname attribute begins with a 'm'
UserTable.where('nickname', 'beginsWith', 'm').update(momo, { nickname: "lol" })

contains

• String: matches substring
• List: matches element

// Updates user if nickname contains 'lol'
UserTable.where('nickname', 'contains', 'lol').update(momo, { fun: true })

// Updates user if 'homer' is in parents list
UserTable.where('parents', 'contains', 'homer').update(momo, { cool: true })

typeIs

• matches attribute type

Please refer to "Attribute types association" section for the list of type attributes

// Updates user momo if his friends attribute is N (number)
UserTable.where('friends', 'typeIs', 'N').update(momo, { friends: 0 })

inList

• matches attribute with provided array

// Gets user named 'abel' if he has a friend named 'abdu' or 'chris'
UserTable.inList('friends', [ 'abdu', 'chris' ]).query('name', '=', 'abel')

Attribute manipulation

Increment/Decrement attribute

const burger = { name: 'burger' }

FoodTable.add({ name: 'burger', sold: 0, sellers: [5,8], ingredients: { cheese: 2 } })

FoodTable.increment('sold', 10).update(burger) // { sold: 10 }
FoodTable.decrement('sold', 1).update(burger) // { sold: 9 }

FoodTable.increment('ingredients.cheese', 4).update(burger)
FoodTable.decrement('ingredients.cheese', 1).update(burger)

Remove attribute

FoodTable.removeAttribute(burger, [ 'ingredients.cheese' ])
FoodTable.removeAttribute(burger, [ 'sold', 'ingredients' ])
// burger is now { name: burger, sellers: [5,8] }

Add to/Remove from list attribute

// The provided array of VALUES will be appended to the attribute
FoodTable.addToList({ sellers: [9] }).update(burger) // { ..., sellers: [5, 8, 9] }

// This time we pass an array of INDEXES from which we want to delete
FoodTable.removeFromList({ sellers: [1] }).update(burger) // { ..., sellers: [5, 9] }

Batch Operations

// No need to provide a table name this time
const Batch = DynamoDB.select()

const batchGet = {
    'table1': {
        // 'name' is the primary key of table1
        Keys: { 'name': ['myItem', 'myItem2', 'myItem3', 'myItem4'] }
    },
    'table2': {
        // 'pid' is the primary key of table2
        Keys: { 'pid': [1101, 1110, 1010] }
    }
}
Batch.batchGet(batchGet)

const batchPut = {
    'table1': [ { name: 'a'}, { name: 'b' }, { name: 'c' }, { name: 'd' } ],
    'table2': [ { pid: 1 }, { pid: 2 }, { pid: 3 }, { pid: 4 } ],
}

Batch.batchPut(batchPut)

const batchDelete = {
    'table1': [ { name: 'b' }, { name: 'c' } ],
    'table2': [ { pid: 3 }, { pid: 4 } ],
}

Batch.batchDelete(batchDelete)

Projections

You can select which attributes you want back from the result when performing get, query or scan operations

Table.add({ id: 1, status: 2, a, b, c, d })
Table.add({ id: 2, status: 2, e, f, g, h })

// returns { Items: [{ id: 1 }], Count: 1, ... }
Table.project('id').query('id', '=', 1)

// returns { Items: [{ id: 1, status: 2 }, { id: 2, status: 2 }], ... }
Table.project(['id', 'status']).scan()

// returns { status: 2 }
Table.project(['status']).get({ id: 1 })

Return values

All methods return promises

// outputs "Abdu"
UserTable.get({ name: "abdu" })
    .then(item => console.log(item.name))

// outputs "26"
UserTable.update({ name: "abdu" }, { age: "26" })
    .then(item => console.log(item.age))

// both outputs "{}"
UserTable.delete({ name: "abdu" })
    .then(item => console.log(item))

UserTable.add({ name: "Chris", age: "65" })
    .then(item => console.log(item))

Test & Development

Tests are located in the ./tests folder

To run tests or to start working with dynamico, you should run a local dynamodb database

Here is the quickest process to setup a local dynamodb database

# jre 7+ required, you can find a complete ubuntu installation in .travis.yml configuration

$ mkdir dyn && cd dyn
# wget or curl -O, not both
$ wget https://s3.eu-central-1.amazonaws.com/dynamodb-local-frankfurt/dynamodb_local_latest.tar.gz
$ curl -O https://s3.eu-central-1.amazonaws.com/dynamodb-local-frankfurt/dynamodb_local_latest.tar.gz
$ tar -xvf *.tar.gz
# this will run a local dynamodb database listening on 8000
$ java -Djava.library.path=./DynamoDBLocal_lib -jar DynamoDBLocal.jar -sharedDb &
$ cd ..

Now that we have our database running, we have to create two tables named "aws.table.for.testing" and "aws.table.combined.for.testing" in order for them to run correctly.

We can create those tables with the ./testTable.js script.

$ node testTable create

# if needed
$ node testTable delete

Run tests

> npm test || yarn test