PostgreSQL adapter for JugglingDB.
To use it you need [email protected]
.
-
Setup dependencies in
package.json
:{ ... "dependencies": { "jugglingdb": "0.2.x", "jugglingdb-postgres": "latest" }, ... }
-
Use:
var Schema = require('jugglingdb').Schema; var schema = new Schema('postgres', { database: 'myapp_test', username: 'postgres' // host: 'localhost', // port: 5432, // password: s.password, // database: s.database, // ssl: true, // debug: false });
- Support for
float
datatypes, ala the mysql adapter. Just adddataType: 'float'
to your column properties:
var Model = schema.define('Model', {
realNumber: {type: Number, dataType: 'float'}
});
- Support for single and multi-column indexes, ala the mysql adapter. Single column indexes are specified by adding
index: true
to the column properties. Unique single-column indexes are created by addingunique: true
to the column properties (it is unnecessary to also specifyindex: true
since it is implied). Multi-column indexes are added by specifyingindexes
in the settings hash of theschema.define
method. Single-column indexes may also be specified this way if you want to have a little more control over their options. Each key in theindexes
hash is the name of the index, and the value is a hash which specifies the index properties:
var Model = schema.define('Model', {
column1: {type: Number, index: true},
column2: {type: Number}
}, {
indexes: {
indexName1: {
columns: 'column1, column2',
type: 'btree'
}
}
});
The full list of supported index properties are:
{
columns: 'comma, delimited, list, of, columns',
keys: ['array', 'of', 'columns'], // takes precedence over "columns"!
type: 'TYPE', // 'btree', 'hash', etc
kind: 'KIND' // 'unique' is the only valid option
}
See the postgres documentation for more information about type
and kind
.
- Support for arbitrary where clauses:
Model.all({where: {arbitrary: 'RANDOM STRING DOING ANYTHING'}}, function(err, models) {
...
});
You can still have columns named arbitrary
in your models; those will take precedence if found.
Note: This is a perfect moment to discuss the unwise nature of passing filter objects from the client to the server. Don't do it. Expose endpoints which then call all()
with known arguments.
- Support for an 'or' operator in where clauses. For example, you can look for models which either have a matching
userId
, or the sameip
with acreated
date greater than one day ago:
var where = {
or: [{
userId: 5
},{
ip: req.ip,
created: {
gt: oneDayAgo
}
}]
}
Model.all({where: where}, function(err, models) {
...
});
Similar to the arbitrary operator above, any column named or
in your model will take precedence if found.
docker run --name postgres -p 5432:5432 -e POSTGRES_PASSWORD= -d postgres
docker exec $(docker ps -f name=postgres -q) \
psql -c 'create database myapp_test;' -U postgres
export POSTGRES_HOST=`docker-machine ip your-docker-machine-name`
npm test
Copyright (C) 2012 by Anatoliy Chakkaev
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