neaty-connector-mongodb
v1.13.0
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LoopBack MongoDB Connector
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neaty-connector-mongodb
MongoDB connector for loopback-datasource-juggler.
Please see the full documentation at docs.strongloop.com.
Customizing MongoDB configuration for tests/examples
By default, examples and tests from this module assume there is a MongoDB server instance running on localhost at port 27017.
To customize the settings, you can drop in a .loopbackrc
file to the root directory
of the project or the home folder.
Note: Tests and examples in this project configure the data source using the deprecated '.loopbackrc' file method, which is not suppored in general. For information on configuring the connector in a LoopBack application, please refer to LoopBack documentation.
The .loopbackrc file is in JSON format, for example:
{
"dev": {
"mongodb": {
"host": "127.0.0.1",
"database": "test",
"username": "youruser",
"password": "yourpass",
"port": 27017
}
},
"test": {
"mongodb": {
"host": "127.0.0.1",
"database": "test",
"username": "youruser",
"password": "yourpass",
"port": 27017
}
}
}
Note: username/password is only required if the MongoDB server has authentication enabled.
###Additional Settings
allowExtendedOperators - false
by default, true
allows to use mongo operators like
$pop, $pullAll, $pull, $pushAll, $push, $bit ```.
## Running tests
The tests in this repository are mainly integration tests, meaning you will need
to run them using our preconfigured test server.
1. Ask a core developer for instructions on how to set up test server
credentials on your machine
2. `npm test`
## Running benchmarks
**Benchmarks must be run on a Unix-like operating system.**
make benchmarks
The results will be output in `./benchmarks/results.md`.
## Leak detection
Tests run for 100 iterations by default, but can be increased by setting the
env var `ITERATIONS`.
make leak-detection # run 100 iterations (default)
or
ITERATIONS=1000 make leak-detection # run 1000 iterations
## Release notes
* 1.1.7 - Do not return MongoDB-specific _id to client API, except if specifically specified in the model definition