MongoDB like syntax for DynamoDB
npm install --save dynongo
First of all, we have to connect with the database.
const db = require('dynongo');
db.connect();Please use IAM roles or environment variables to connect with the dynamodb database. This way, no keys have to be embedded in your code. You can find more information on the SDK page.
If you still want to use embedded credentials, you can by providing an accessKeyId, secretAccessKey and an optional region property.
db.connect({
accessKeyId: 'accessKeyId',
secretAccessKey: 'secretAccessKey',
region: 'us-west-1'
});It is possible to connect to a local DynamoDB database
by setting the local property to true. It will use port 8000 by default, but if you want to change that port, you can provide a localPort property.
db.connect({
local: true,
host: '192.168.5.5', // localhost if not provided
localPort: 4444 // 8000 if not provided
});It's a good thing to prefix the tables with the name of the project and maybe the environment like production or staging. Instead
of always repeating those names every time you want to query the table, you can provide the prefix and prefix delimiter once. The
default delimiter is the ..
db.connect({
prefix: 'myapp-development',
prefixDelimiter: '-' // . if not provided
});In order for the developer to execute methods on a table, you have to retrieve the table object from the database.
const Employee = db.table('Employee');The table name will be automatically prefixed by the prefix provided in the connection object.
If you provided a prefix in the connection object but you don't want that for a specific table, you could ask for a raw table. A raw table is like a regular table without the prefix.
const Employee = db.rawTable('Employee');Employee.find({Organisation: 'Amazon'}).where({Salary: {$gt: 3000}}).select('FirstName Name').exec()
.then(employees => {
// => [{FirstName: 'Foo', Name: 'Bar'}]
});Employee.findOne({Organisation: 'Amazon'}).where({Salary: {$between: [3000, 4000]}}).select('FirstName Name').exec()
.then(employee => {
// => {FirstName: 'Foo', Name: 'Bar'}
});Employee.find({Organisation: 'Amazon'}).where({Salary: {$gt: 3000}}).count().exec()
.then(count => {
// => 8
}); Employee.insert({Organisation: 'Amazon', Email: '[email protected]'}, {Title: 'CFO', FirstName: 'Foo', Name: 'Bar', Salary: 4500}).exec()
.then(employee => {
// => {FirstName: 'Foo', Name: 'Bar', Salary: 4500, Title: 'CFO', Organisation: 'Amazon', Email: '[email protected]'}
});The first parameter in the update method is the primary key (hash + range) and the second method is a query that
defines the updates of the fields.
Employee.update({Organisation: 'Amazon', Email: '[email protected]'}, {$set: {Title: 'CTO'}, $inc: {Salary: 150}, $push: {Hobby: {$each: ['swimming', 'walking']}}}).exec()
.then(employee => {
// => {FirstName: 'Foo', Name: 'Bar', Salary: 4650, Title: 'CTO', Organisation: 'Amazon', Email: '[email protected]', Hobby: ['cycling', 'swimming', 'walking']}
});You can use $unshift to prepend a list with one or multiple values.
Employee.update({Organisation: 'Amazon', Email: '[email protected]'}, {$unshift: {Hobby: 'programming'}}}).exec()
.then(employee => {
// => {FirstName: 'Foo', Name: 'Bar', Salary: 4650, Title: 'CTO', Organisation: 'Amazon', Email: '[email protected]', Hobby: ['programming', 'cycling', 'swimming', 'walking']}
});If no Amazon employee exists with that email address exists, the method will fail.
You can also add extra conditions, for instance if we want to increase the salary by $150 only if the current salary is less then $4500.
Employee.update({Organisation: 'Amazon', Email: '[email protected]'}, {$inc: {Salary: 150}}).where({Salary: {$lt: 4500}}).exec()
.catch(err => {
// ConditionalCheckFailedException: The conditional request failed
});The remove method expects the primary key (hash + range).
Employee.remove({Organisation: 'Amazon', Email: '[email protected]'}).exec()
.then(() => {
// => removed
});This method is the same as the remove method, except that it will return the removed record..
Employee.findOneAndRemove({Organisation: 'Amazon', Email: '[email protected]'}).exec()
.then(result => {
// => {Organisation: 'Amazon', Email: '[email protected]'}
});You can retrieve a list of all the tables.
db.listTables().exec().then(tables => {
console.log(tables);
//=> ['foo', 'bar', 'baz']
});If you passed in a prefix property in the connection object, only the tables with that prefix will
be returned.
You can implement paging by using the startFrom() method together with the LastEvaluatedKey property returned when using the raw() method.
const result = Employee.find({Organisation: 'Amazon'}).where({Salary: {$gt: 3000}}).limit(1).raw().exec()
.then(result => {
/**
* {
* "Items": [
* { UserId: '1', FirstName: 'Foo', Name: 'Bar' }
* ],
* "Count": 1,
* "ScannedCount": 1,
* "LastEvaluatedKey": {
* Organisation: 'Amazon',
* UserId: '1'
* }
* }
*/
// Retrieve the next page
return Employee.find({Organisation: 'Amazon'}).where({Salary: {$gt: 3000}}).startFrom(result.LastEvaluatedKey).limit(1).raw().exec()
})
.then(result => {
/**
* {
* "Items": [
* { UserId: '2', FirstName: 'Unicorn', Name: 'Rainbow' }
* ],
* "Count": 1,
* "ScannedCount": 1,
* "LastEvaluatedKey": {
* Organisation: 'Amazon',
* UserId: '2'
* }
* }
*/
});You can also use dynongo-pager to make paging even easier.
A table can be created by either calling create() on a table instance or by calling createTable on the database instance.
The first way is by calling the create() method.
const Employee = db.table('Employee');
const schema = {
TableName: 'Employee',
AttributeDefinitions: [
{ AttributeName: 'id', AttributeType: 'S' }
],
KeySchema: [
{ AttributeName: 'id', KeyType: 'HASH' }
],
ProvisionedThroughput: {
ReadCapacityUnits: 1,
WriteCapacityUnits: 1
}
};
Employee.create(schema).exec()
.then(() => {
// => Table is being created
});The second way is by calling the createTable() method.
db.createTable(schema).exec()
.then(() => {
// Table is being created
});This is shorthand for the first method.
Creating a table can take a while. The previous examples do not wait for the action to be completed. But there
might be use cases where you have to wait untill the table is created entirely before continuing.
This can be done with the wait() method.
db.createTable(schema).wait().exec()
.then(() => {
// Table is created
});This will make sure the table is polled every 1000 milliseconds untill the status of the table is active. If you want to poll
at another speed, you can by providing the number of milliseconds in the wait method.
db.createTable(schema).wait(5000).exec();This will poll the status of the table every 5 seconds instead of every second.
A table can be dropped by either calling drop() on a table instance or by calling dropTable() on the database instance.
The first way is by calling the drop() method.
const Employee = db.table('Employee');
Employee.drop().exec()
.then(() => {
// => Table is being dropped
});The second way is by calling the dropTable() method.
db.dropTable('Employee').exec()
.then(() => {
// => Table is being dropped
})This method is just a shorthand method for the first example.
Dropping a table can take a while, especially when the table has a lot of data. The previous examples do not wait for the action to be completed. But there
might be use cases where you have to wait untill the table is removed entirely before continuing. This can be done with the wait() method.
db.dropTable('Employee').wait().exec()
.then(() => {
// => Table is dropped
})This will make sure the table is polled every 1000 milliseconds untill the table does not exist anymore. If you want to poll at another speed, you can by providing
the number of milliseconds in the wait method.
db.dropTable('Employee').wait(5000).exec();This will poll the status of the table every 5 seconds instead of every second.
- dynongo-pager - Easy paging for DynamoDB with dynongo
MIT © Sam Verschueren