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https://github.com/abdullahzn/dynamo-node

DynamoDB mapper
https://github.com/abdullahzn/dynamo-node

db dynamo dynamodb dynamodb-orm mapper node nodejs orm

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DynamoDB mapper

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# DynamoDB Mapper
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This DynamoDB Mapper for node.js aims to provide a 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**

#### **Please note this repository is a work in progress. Contributions are welcome.**

## Requirements

Install package from npm or yarn

```bash
> npm install dynamo-node || yarn add dynamo-node
```

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

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

Require module
```js
const DynamoDB = require('dynamo-node')(region [, credit_path ]);
// e.g with json credentials
const DynamoDB = require('dynamo-node')('eu-central-1', './credits.json');
// e.g with env vars
process.env.DYNAMO_ENV = 'test';
const DynamoDB = require('dynamo-node')('eu-central-1');
```

## Usage

---

#### Tables

Inits your table, or sets tablename for further creation

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

_**Create**_

Attribute types association

S | SS | N | NS | B | BS | BOOL | NULL | L | M
--|---|---|---|---|---|---|---|---|--
String | String Set | Number | Number Set | Binary | Binary Set | Boolean | Null | List | Map

```js
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**_

```js
UserTable.deleteTable();
```

---

#### Items

_**Add**_

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

_**Get**_

```js
UserTable.get({ name: "abdu" });
```

_**Update**_

```js
// 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**_

```js
UserTable.delete({ name: "abdu" });
```

_**Query**_

```js
UserTable.query('name', '=', 'abdu');

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

_**Scan**_

Returns all items from table

```js
// a very expensive task !
UserTable.scan();
```

## Conditional Queries

_**Check if attribute exists**_

```js
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**_

```js
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

```js

// 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

```js
// 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

```js
// 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

```js
// 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**_

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

_**Add to/Remove from list attribute**_
```js

// 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

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

```js
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);
```

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

Batch.batchPut(batchPut);
```

```js
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

```js
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

```js
// 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

Run tests
```bash
> npm run test || yarn test
```

#### Environment

You need to set up a specific envvar to start development with dynamo-node and a local dynamo db

```js
process.env.DYNAMO_ENV = 'test';
```