A Simple, efficient and complete DynamoDB driver for Node.js, with:
- Support for Official Node.JS AWS SDK: https://github.com/aws/aws-sdk-js
- Support for unit testing with Magneto: https://github.com/exfm/node-magneto
- Syntactic sweeteners/mapping to handle Amazon DynamoDB's JSON format in NodeJS
- Efficient and transparent authentication and authentication refresh using Amazon STS
- Integrated retry logic similar to Amazon's own PhP, Java libraries
- Currently in production in multiple independent organizations with more than 80 write/s, 60 read/s
- Support for all exposed DynamoDB operations
Discussion Group: http://groups.google.com/group/node-dynamodb
var ddb = require('dynamodb').ddb({ accessKeyId: '',
secretAccessKey: '' });
Available options for the constructor are the following:
accessKeyId
: the AWS AccessKeyId to usesecretAccessKey
: the AWS SecretAccessKey associatedendpoint
: the Region endpoint to use (defaults to:dynamodb.us-east-1.amazonaws.com
)agent
: The NodeJS http.Agent to use (defaults to:undefined
)sessionToken
: forced temporary session credential (defaults to:undefined
)sessionExpires
: forced temeporary session credential (defaults to:undefined
)
createTable = function(table, keySchema, localSecondaryIndexes, provisionedThroughput, callback)
table
- the table namekeySchema
- an object with the details of the hash and rangehash
- an array with the first element being the name and second the type[attribute, type]
range
- (optional) same as hash
localSecondaryIndexes
- an object with an attribute for each index name which is an object of the details i.e.{'price-index':{AttributeName:'price',KeyType:'N',Projection:'ALL'|['a','b','c']}}
AttributeName
- the name of the attribute that the index is forAttributeType
- the attribute typeProjection
- (optional) either 'ALL' or an array of attribute names, if not included this will default to only the hash, range, and index
provisionedThroughput
-{write: X, read: Y}
ddb.createTable('foo', { hash: ['id', ddb.schemaTypes().string],
range: ['time', ddb.schemaTypes().number] },
{read: 10, write: 10}, function(err, details) {});
// res: { "CreationDateTime": 1.310506263362E9,
// "KeySchema": { "HashKeyElement": { "AttributeName": "AttributeName1",
// "AttributeType": "S"},
// "RangeKeyElement": { "AttributeName": "AttributeName2",
// "AttributeType": "N"} },
// "ProvisionedThroughput":{ "ReadCapacityUnits": 5,
// "WriteCapacityUnits": 10 },
// "TableName":"Table1",
// "TableStatus":"CREATING" }
ddb.listTables({}, function(err, res) {});
// res: { LastEvaluatedTableName: 'bar',
TableNames: ['test','foo','bar'] }
ddb.describeTable('a-table', function(err, res) {});
// res: { ... }
// flat [string, number, string array or number array] based json object
var item = { score: 304,
date: (new Date).getTime(),
sha: '3d2d6963',
usr: 'spolu',
lng: ['node', 'c++'] };
ddb.putItem('a-table', item, {}, function(err, res, cap) {});
ddb.getItem('a-table', '3d2d6963', null, {}, function(err, res, cap) {});
// res: { score: 304,
// date: 123012398234,
// sha: '3d2d6963',
// usr: 'spolu',
// lng: ['node', 'c++'] };
ddb.deleteItem('a-table', 'sha', null, {}, function(err, res, cap) {});
ddb.updateItem('a-table', '3d2d6963', null, { 'usr': { value: 'smthg' } }, {},
function(err, res, cap) {});
ddb.consumedCapacity();
ddb.batchGetItem({'table': { keys: ['foo', 'bar'] }}, function(err, res) {
if(err) {
console.log(err);
} else {
console.log(res);
}
});
// res: { ConsumedCapacityUnits: 1.5,
items: [...] };
//ddb.batchWriteItem(PutRequest, DeleteRequest, cb)
ddb.batchWriteItem({'table': [item1, item2]}, {'table': ['foo', 'bar']}, function(err, res) {
if(err) {
console.log(err);
} else {
console.log(res);
}
});
// res: { UnprocessedItems: { ... } };
ddb.query('test', '3d2d6963', {}, function(err, res, cap) {...});
// res: { count: 23,
// lastEvaluatedKey: { hash: '3d2d6963' },
// items: [...] };
ddb.scan('test', {}, function(err, res) {
if(err) {
console.log(err);
} else {
console.log(res);
}
});
// res: { count: 23,
// lastEvaluatedKey: { hash: '3d2d6963' },
// items: [...] };
More complete usage can be found in the examples directory
Put in your environment:
export DYNAMODB_ACCESSKEYID=YOURACCESSKEYID
export DYNAMODB_SECRETACCESSKEY=YOURSECRETKEYID
export DYNAMODB_TEST_TABLE1=test
Make sure you have a test
table created and available with sha
as a hash key (string), then run:
make test
Distributed under the MIT License.
@karlseguin (Karl Seguin)
@imekinox (Juan Carlos del Valle)
@phstc (Pablo Cantero)
@cstivers78 (Chris Stivers)
@garo (Juho Mäkinen)
@tax (Paul Tax)
@alexbosworth (Alex Bosworth)
@jimbly (Jimb Esser)
@n1t0 (Anthony Moi)
@krasin
@aws-ew-dev