privateeye-helenus
v0.1.0
Published
NodeJS Bindings for Cassandra with improvements for PrivateEye Team at BSkyB
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Helenus
NodeJS Bindings for Cassandra and PrivateEye Project
Currently the driver has full CQL support and a growing support for thrift (non-cql) commands. If you would like to contribute, please contact Russ Bradberry <[email protected]>
If you have any questions regarding the driver, please visit our google group
Build Status
Installation
npm install helenus
Running Tests
Ensure cassandra is running on localhost:9160.
make test
For coverage
make test-cov
Usage
CQL
var helenus = require('helenus'),
pool = new helenus.ConnectionPool({
hosts : ['localhost:9160'],
keyspace : 'helenus_test',
user : 'test',
password : 'test1233',
timeout : 3000
//cqlVersion : '3.0.0' // specify this if you're using Cassandra 1.1 and want to use CQL 3
});
//if you don't listen for error, it will bubble up to `process.uncaughtException`
//pools act just like connection objects, so you don't have to worry about api
//differences when using either the pool or the connection
pool.on('error', function(err){
console.error(err.name, err.message);
});
//makes a connection to the pool, this will return once there is at least one
//valid connection, other connections may still be pending
pool.connect(function(err, keyspace){
if(err){
throw(err);
} else {
//to use cql, access the pool object once connected
//the first argument is the CQL string, the second is an `Array` of items
//to interpolate into the format string, the last is the callback
//for formatting specific see `http://nodejs.org/docs/latest/api/util.html#util.format`
//results is an array of row objects
pool.cql("SELECT col FROM cf_one WHERE key = ?", ['key123'], function(err, results){
console.log(err, results);
});
//NOTE:
//- You can always skip quotes around placeholders, they are added automatically.
//- In CQL 3 you cannot use placeholders for ColumnFamily names or Column names.
}
});
Thrift
If you do not want to use CQL, you can make calls using the thrift driver
pool.connect(function(err, keyspace){
if(err){
throw(err);
}
//first retreive the column family from the server
//helenus will cache column families it has already seen
keyspace.get('my_cf', function(err, cf){
if(err){
throw(err);
}
//insert something into the column family
cf.insert('foo', {'bar':'baz'}, function(err){
if(err){
throw(err);
}
//get what we just put in
//the driver will return a helenus.Row object just like CQL
cf.get('foo', {consistency:helenus.ConsistencyLevel.ONE} function(err, row){
if(err){
throw(err);
}
row.get('bar').value // => baz
});
});
});
});
Thrift Support
Currently Helenus supports the following command for the thrift side of the driver:
- connection.createKeyspace
- connection.dropKeyspace
- keyspace.createColumnFamily
- keyspace.dropColumnFamily
- columnFamily.insert
- columnFamily.get
- columnFamily.getIndexed
- columnFamily.remove
- columnFamily.truncate
The following support is going to be added in later releases:
- columnFamily.rowCount
- columnFamily.columnCount
- columnfamily.increment
- SuperColumns
- CounterColumns
- Better composite support
Row
The Helenus Row object acts like an array but contains some helper methods to make your life a bit easier when dealing with dynamic columns in Cassandra
row.count
Returns the number of columns in the row
row[N]
This will return the column at index N
results.forEach(function(row){
//gets the 5th column of each row
console.log(row[5]);
});
row.get(name)
This will return the column with a specific name
results.forEach(function(row){
//gets the column with the name 'foo' of each row
console.log(row.get('foo'));
});
row.forEach()
This is wrapper function of Array.forEach which return name,value,ts,ttl of column from row as callback params.
results.forEach(function(row){
//all row of result
row.forEach(function(name,value,ts,ttl){
//all column of row
console.log(name,value,ts,ttl);
});
});
row.slice(start, finish)
Slices columns in the row based on their numeric index, this allows you to get columns x through y, it returns a Helenus row object of columns that match the slice.
results.forEach(function(row){
//gets the first 5 columns of each row
console.log(row.slice(0,5));
});
row.nameSlice(start, finish)
Slices the columns based on part of their column name. returns a Helenus row of columns that match the slice
results.forEach(function(row){
//gets all columns that start with a, b, c, or d
console.log(row.nameSlice('a','e'));
});
Column
Columns are returned as objects with the following structure:
{
name: 'Foo', //The column name
value: 'bar', //The column value
timestamp: Date(), //The date object of the timestamp for the column
ttl: 123456 //The ttl (in milliseconds) for the columns
}
ConsistencyLevel
Helenus supports using a custom consistency level. By default, when using the thrift client reads and writes will both use QUORUM
. When using the thrift driver, you simply pass a custom level in the options:
cf.insert(key, values, {consistency : helenus.ConsistencyLevel.ANY}, callback);
Contributors
- Russell Bradberry - @devdazed
- Matthias Eder - @matthiase
- Christoph Tavan - @ctavan
License
(The MIT License)
Copyright (c) 2011 SimpleReach <[email protected]>
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.