MongoDB Node Driver Test Automation

This repo contains a test automation suite with a variety of tests. In this readme, you'll learn about the types of tests and how to run them.

About the Tests

All of our test automation is powered by the Mocha test framework.

Some of the tests require a particular topology (e.g., standalone server, replica set, or sharded cluster). These tests check the topology of the MongoDB server that is being used. If the topology does not match, the tests will be skipped.

Below is a summary of the types of test automation in this repo.

Type of Test	Test Location	About the Tests	How to Run Tests
Unit	`/test/unit`	The unit tests test individual pieces of code, typically functions. These tests do not interact with a real database, so mocks are used instead. The unit test directory mirrors the `/src` directory structure with test file names matching the source file names of the code they test.	`npm run check:unit`
Integration	`/test/integration`	The integration tests test that a given feature or piece of a feature is working as expected. These tests do not use mocks; instead, they interact with a real database. The integration test directory follows the `test/spec` directory structure representing the different functional areas of the driver. Note: The `.gitkeep` files are intentionally left to ensure that this directory structure is preserved even as the actual test files are moved around.	`npm run check:test`
Benchmark	`/test/benchmarks`	The benchmark tests report how long a designated set of tests take to run. They are used to measure performance.	`npm run check:bench`
Specialized Environment	`/test/manual`	The specalized environment tests are functional tests that require specialized environment setups in Evergreen. Note: "manual" in the directory path does not refer to tests that should be run manually. These tests are automated. These tests have a special Evergreen configuration and run in isolation from the other tests.	There is no single script for running all of the specialized environment tests. Instead, you can run the appropriate script based on the specialized environment you want to use: - `npm run check:atlas` to test Atlas - `npm run check:adl` to test Atlas Data Lake - `npm run check:ocsp` to test OSCP - `npm run check:kerberos` to test Kerberos - `npm run check:tls` to test TLS - `npm run check:ldap` to test LDAP authorization
TypeScript Definition	`/test/types`	The TypeScript definition tests verify the type definitions are correct.	`npm run check:tsd`
Github Actions	`/test/action`	Tests that run as Github actions such as dependency checking.	Currently only `npm run check:dependencies` but could be expanded to more in the future.
Code Examples	`/test/integration/node-specific/examples`	Code examples that are also paired with tests that show they are working examples.	Currently `npm run check:lambda` to test the AWS Lambda example with default auth and `npm run check:lambda:aws` to test the AWS Lambda example with AWS auth.

Spec Tests

All of the MongoDB drivers follow the same specifications (specs). Each spec has tests associated with it. Some of the tests are prose (written, descriptive) tests, which must be implemented on a case by case basis by the developers on the driver teams. Other tests are written in a standardized form as YAML and converted to JSON, which can be read by the specialized spec test runners that are implemented in each driver.

The input test specifications are stored in test/spec.

The actual implementations of the spec tests can be unit tests or integration tests depending on the requirements, and they can be found in the corresponding test directory according to their type. Regardless of whether they are located in the /unit or /integration test directory, test files named spec_name.spec.test contain spec test implementations that use a standardized runner and spec_name.prose.test files contain prose test implementations.

Running the Tests Locally

The easiest way to get started running the tests locally is to start a standalone server and run all of the tests.

Start a mongod standalone with our cluster_setup.sh script: ./test/tools/cluster_setup.sh server.

Then run the tests: npm test.

Note: the command above will run a subset of the tests that work with the standalone server topology since the tests are being run against a standalone server.

The output will show how many tests passed, failed, and are pending. Tests that we have indicated should be skipped using .skip() will appear as pending in the test results. See Mocha's documentation for more information.

In the following subsections, we'll dig into the details of running the tests.

Testing With Authorization Enabled

By default, the integration tests run with auth enabled and the cluster_setup.sh script defaults to starting servers with auth enabled. Tests can be run locally without auth by setting the environment variable AUTH to the value of noauth. This must be a two step process of starting a server without auth enabled and then running the tests without auth enabled.

AUTH='noauth' ./test/tools/cluster_setup.sh <server>
AUTH='noauth' npm run check:test

Testing Different MongoDB Topologies

As we mentioned earlier, the tests check the topology of the MongoDB server being used and run the tests associated with that topology. Tests that don't have a matching topology will be skipped.

In the steps above, we started a standalone server: ./test/tools/cluster_setup.sh server.

You can use the same cluster_setup.sh script to start a replica set or sharded cluster by passing the appropriate option: ./test/tools/cluster_setup.sh replica_set or ./test/tools/cluster_setup.sh sharded_cluster. If you are running more than a standalone server, make sure your ulimit settings are in accordance with MongoDB's recommendations. Changing the settings on the latest versions of macOS can be tricky. See this article for tips. (You likely don't need to do the complicated maxproc steps.)

The cluster_setup.sh script automatically stores the files associated with the MongoDB server in the data directory, which is stored at the top level of this repository. You can delete this directory if you want to ensure you're running a clean configuration. If you delete the directory, the associated database server will be stopped, and you will need to run cluster_setup.sh again.

You can prefix npm test with a MONGODB_URI environment variable to point the tests to a specific deployment. For example, for a standalone server, you might use: MONGODB_URI=mongodb://localhost:27017 npm test. For a replica set, you might use: MONGODB_URI=mongodb://localhost:31000,localhost:31001,localhost:31002/?replicaSet=rs npm test.

Running Individual Tests

The easiest way to run a single test is by appending .only() to the test context you want to run. For example, you could update a test function to be it.only(‘cool test’, function() {}). Then run the test using npm run check:test for a functional or integration test or npm run check:unit for a unit test. See Mocha's documentation for more detailed information on .only().

Another way to run a single test is to use Mocha's grep flag. For functional or integration tests, run npm run check:test -- -g 'test name'. For unit tests, run npm run check:unit -- -g 'test name'. See the Mocha documentation for information on the grep flag.

Running the Tests in Evergreen

Evergreen is the continuous integration (CI) system we use. Evergreen builds are automatically run whenever a pull request is created or when commits are pushed to particular branches (e.g., main, 4.0, and 3.6).

Each Evergreen build runs the test suite against a variety of build variants that include a combination of topologies, special environments, and operating systems. By default, commits in pull requests only run a subset of the build variants in order to save time and resources. To configure a build, update .evergreen/config.yml.in and then generate a new Evergreen config via node .evergreen/generate_evergreen_tasks.js.

Manually Kicking Off Evergreen Builds

Occasionally, you will want to manually kick off an Evergreen build in order to debug a test failure or to run tests against uncommitted changes.

Evergreen UI

You can use the Evergreen UI to choose to rerun a task (an entire set of test automation for a given topology and environment). Evergreen does not allow you to rerun an individual test.

Evergreen CLI

You can also choose to run a build against code on your local machine that you have not yet committed by running a pre-commit patch build.

Setup

Begin by setting up the Evergreen CLI.

Download and install the Evergreen CLI according to the instructions in the Evergreen Documentation.
Be sure to create evergreen.yml as described in the documentation.
Add the Evergreen binary to your path.

Running the Build

Once you have the Evergreen CLI setup, you are ready to run a build. Keep in mind that if you want to run only a few tests, you can append .only() as described in the section above on running individual tests.

In a terminal, navigate to your node driver directory:

cd node-mongodb-native
Use the Evergreen patch command. -y skips the confirmation dialog. -u includes uncommitted changes. -p [project name] specifies the Evergreen project. --browse opens the patch URL in your browser.

evergreen patch -y -u -p mongo-node-driver-next --browse
In your browser, select the build variants and tasks to run.

Using a Pre-Release Version of a Dependent Library

You may want to test the driver with a pre-release version of a dependent library (e.g., bson). Follow the steps below to do so.

Open package.json
Identify the line that specifies the dependency
Replace the version number with the commit hash of the dependent library. For example, you could use a particular commit for the js-bson project on GitHub: "bson": "mongodb/js-bson#e29156f7438fa77c1672fd70789d7ade9ca65061"
Run npm install to install the dependency

Now you can run the automated tests, run manual tests, or kick off an Evergreen build from your local repository.

Manually Testing the Driver

You may want to manually test changes you have made to the driver. The steps below will walk you through how to create a new Node project that uses your local copy of the Node driver. You can modify the steps to work with existing Node projects.

Navigate to a new directory and create a new Node project by running npm init in a terminal and working through the interactive prompts. A new file named package.json will be created for you.
In package.json, create a new dependency for mongodb that points to your local copy of the driver. For example:
```
"dependencies": {
  "mongodb": "/path-to-your-copy-of-the-driver-repo/node-mongodb-native"
}
```
Run npm install to install the dependency.
Create a new file that uses the driver to test your changes. See the MongoDB Node.js Quick Start Repo for example scripts you can use.

Note: When making driver changes, you will need to run npm run build:ts with each change in order for it to take effect.

Writing Tests

TODO: flesh this section out more

Framework

We use mocha to construct our test suites and chai to assert expectations.

Some special notes on how mocha works with our testing setup:

before hooks will run even if a test is skipped by the environment it runs on.
- So, for example, if your before hook does logic that can only run on a certain server version you can't depend on your test block metadata to filter for that.
after hooks cannot be used to clean up clients because the session leak checker currently runs in an afterEach hook, which would be executed before any after hook has a chance to run

Skipping Tests

Not all tests are able to run in all environments and some are unable to run at all due to known bugs.

When marking a test to be skiped, be sure to include a skipReason, so that it can be added to the test run printout.

// skipping an individual test
it.skip('should not run', () => { /* test */ }).skipReason = 'TODO: NODE-1234';

// skipping a set of tests via beforeEach
beforeEach(() => {
   if (/* some condition */) {
      this.currentTest.skipReason = 'requires <run condition> to run';
      this.skip();
   }
});

Testing with Special Environments

In order to test some features, you will need to generate and set a specialized group of environment variables. The subsections below will walk you through how to generate and set the environment variables for these features.

We recommend using a different terminal for each specialized environment to avoid the environment variables from one specialized environment impacting the test runs for another specialized environment.

Before you begin any of the subsections below, clone the drivers-evergreen-tools repo.

We recommend creating an environment variable named DRIVERS_TOOLS that stores the path to your local copy of the driver-evergreen-tools repo: export DRIVERS_TOOLS="/path/to/your/copy/of/drivers-evergreen-tools".

Serverless

The following steps will walk you through how to create and test a MongoDB Serverless instance.

Create the following environment variables using a command like export PROJECT="node-driver".

Note: MongoDB employees can pull these values from the Evergreen project's configuration.

Variable Name	Description
`Project`	The name of the Evergreen project where the tests will be run (e.g., `mongo-node-driver-next`)
`SERVERLESS_DRIVERS_GROUP`	The Atlas organization where you will be creating the serverless instance
`SERVERLESS_API_PUBLIC_KEY`	The Atlas API Public Key for the organization where you will be creating a serverless instance
`SERVERLESS_API_PRIVATE_KEY`	The Atlas API Private Key for the organization where you will be creating a serverless instance
`SERVERLESS_ATLAS_USER`	The SCRAM username for the Atlas user who has permission to create a serverless instance
`SERVERLESS_ATLAS_PASSWORD`	The SCRAM password for the Atlas user who has permission to create a serverless instance

Remember some of these are sensitive credentials, so keep them safe and only put them in your environment when you need them.

Run the create-instance script:
```
$DRIVERS_TOOLS/.evergreen/serverless/create-instance.sh
```
The script will take a few minutes to run. When it is finished, a new file named serverless-expansion.yml will be created in the current working directory. The file will contain information about an Evergreen expansion:
```
MONGODB_URI: xxx
MONGODB_SRV_URI: xxx
SERVERLESS_INSTANCE_NAME: xxx
SSL: xxx
AUTH: xxx
TOPOLOGY: xxx
SERVERLESS: xxx
SERVERLESS_URI: xxx
```
Generate a sourceable environment file from serverless-expansion.yml by running the following command:
```
cat serverless-expansion.yml | sed 's/: /=/g' > serverless.env
```
A new file named serverless.env is automatically created.
Update the following variables in serverless.env, so that they are equivalent to what our Evergreen builds do:
- Change MONGODB_URI to have the same value as SERVERLESS_URI.
- Add SINGLE_MONGOS_LB_URI and set it to the value of SERVERLESS_URI.
- Add MULTI_MONGOS_LB_URI and set it to the value of SERVERLESS_URI.
Source the environment variables using a command like source serverless.env.
Export each of the environment variables that were created in serverless.env. For example: export SINGLE_MONGOS_LB_URI.
Comment out the line in .evergreen/run-serverless-tests.sh that sources install-dependencies.sh.
Run the .evergreen/run-serverless-tests.sh script directly to test serverless instances from your local machine.

Hint: If the test script fails with an error along the lines of Uncaught TypeError: Cannot read properties of undefined (reading 'processId'), ensure you do not have the FAKE_MONGODB_SERVICE_ID environment variable set.

Load Balanced

The following steps will walk you through how to start and test a load balancer.

Start a sharded cluster with two mongos, so you have a URI similar to MONGODB_URI=mongodb://host1,host2/. The server must be version 5.2.0 or higher. Create the config server: mongod --configsvr --replSet test --dbpath config1 --bind_ip localhost --port 27217

Initiate the config server in the shell:
```
mongosh "mongodb://localhost:27217" --exec "rs.initiate( { _id: "test", configsvr: true, members: [ { _id: 0, host: "localhost:27217" } ] })"
```
Create shard replica sets: mongod --shardsvr --replSet testing --dbpath repl1 --bind_ip localhost --port 27218 --setParameter enableTestCommands=true mongod --shardsvr --replSet testing --dbpath repl2 --bind_ip localhost --port 27219 --setParameter enableTestCommands=true mongod --shardsvr --replSet testing --dbpath repl3 --bind_ip localhost --port 27220 --setParameter enableTestCommands=true

Initiate replica set in the shell:
```
mongosh "mongodb://localhost:27218" --exec "rs.initiate( { _id: "testing", members: [ { _id: 0, host: "localhost:27218" }, { _id: 1, host: "localhost:27219" }, { _id: 2, host: "localhost:27220" }] })"
```
Create two mongoses running on ports 27017 and 27018: mongos --configdb test/localhost:27217 --bind_ip localhost --setParameter enableTestCommands=1 --setParameter featureFlagLoadBalancer=true --setParameter loadBalancerPort=27050 mongos --configdb test/localhost:27217 --port 27018 --bind_ip localhost --setParameter enableTestCommands=1 --setParameter featureFlagLoadBalancer=true --setParameter loadBalancerPort=27051.

Initiate cluster on mongos in shell:
```
mongosh "mongodb://localhost:27017" --exec "sh.addShard("testing/localhost:27218,localhost:27219,localhost:27220")"
mongosh "mongodb://localhost:27017" --exec "sh.enableSharding("test")"
```
Create an environment variable named MONGODB_URI that stores the URI of the sharded cluster you just created. For example: export MONGODB_URI="mongodb://host1,host2/"
Install the HAProxy load balancer. For those on macOS, you can install HAProxy with brew install haproxy.
Start the load balancer by using the run-load-balancer script provided in drivers-evergreen-tools.
```
$DRIVERS_TOOLS/.evergreen/run-load-balancer.sh start
```
A new file name lb-expansion.yml will be automatically created. The contents of the file will be similar in structure to the code below.
```
SINGLE_MONGOS_LB_URI: 'mongodb://127.0.0.1:8000/?loadBalanced=true'
MULTI_MONGOS_LB_URI: 'mongodb://127.0.0.1:8001/?loadBalanced=true'
```
Generate a sourceable environment file from lb-expansion.yml by running the following command:
```
cat lb-expansion.yml | sed 's/: /=/g' > lb.env
```
A new file name lb.env is automatically created.
Source the environment variables using a command like source lb.env.
Export each of the environment variables that were created in lb.env. For example: export SINGLE_MONGOS_LB_URI.
Export the LOAD_BALANCED environment variable to 'true': export LOAD_BALANCED='true'
Disable auth for tests: export AUTH='noauth'
Run the test suite as you normally would:
```
npm run check:test
```
Verify that the output from Mocha includes [ topology type: load-balanced ]. This indicates the tests successfully accessed the specialized environment variables for load balancer testing.
When you are done testing, shutdown the HAProxy load balancer:
```
$DRIVERS_TOOLS/.evergreen/run-load-balancer.sh stop
```

Client-Side Field Level Encryption (CSFLE)

The following steps will walk you through how to run the tests for CSFLE.

Install MongoDB Client Encryption if you haven't already: npm install mongodb-client-encryption

Create the following environment variables using a command like export AWS_REGION="us-east-1".

Note: MongoDB employees can pull these values from the Evergreen project's configuration.

Variable Name	Description
`AWS_ACCESS_KEY_ID`	The AWS access key ID used to generate KMS messages
`AWS_SECRET_ACCESS_KEY`	The AWS secret access key used to generate KMS messages
`AWS_REGION`	The AWS region where the KMS resides (e.g., `us-east-1`)
`AWS_CMK_ID`	The Customer Master Key for the KMS
`CSFLE_KMS_PROVIDERS`	The raw EJSON description of the KMS providers. An example of the format is provided below.
KMIP_TLS_CA_FILE	/path/to/mongodb-labs/drivers-evergreen-tools/.evergreen/x509gen/ca.pem

| | KMIP_TLS_CERT_FILE | /path/to/mongodb-labs/drivers-evergreen-tools/.evergreen/x509gen/client.pem

The value of the CSFLE_KMS_PROVIDERS variable will have the following format:

interface CSFLE_kms_providers {
   aws: {
      accessKeyId: string;
      secretAccessKey: string;
   };
   azure: {
      tenantId: string;
      clientId: string;
      clientSecret: string;
   };
   gcp: {
      email: string;
      privateKey: string;
   };
   local: {
      // EJSON handle converting this, its actually the canonical -> { $binary: { base64: string; subType: string } }
      // **NOTE**: The dollar sign has to be escaped when using this as an ENV variable
      key: Binary;
   }
}

Start the KMIP servers:

DRIVERS_TOOLS="/path/to/mongodb-labs/drivers-evergreen-tools" .evergreen/run-kms-servers.sh

Ensure default ~/.aws/config is present:

[default]
aws_access_key_id=AWS_ACCESS_KEY_ID
aws_secret_access_key=AWS_SECRET_ACCESS_KEY

Set temporary AWS credentials

pip3 install boto3
PYTHON="python3" source /path/to/mongodb-labs/drivers-evergreen-tools/.evergreen/csfle/set-temp-creds.sh

Alternatively for fish users the following script can be substituted for set-temp-creds.sh:

function set_aws_creds
    set PYTHON_SCRIPT "\
import boto3
client = boto3.client('sts')
credentials = client.get_session_token()['Credentials']
print (credentials['AccessKeyId'] + ' ' + credentials['SecretAccessKey'] + ' ' + credentials['SessionToken'])"

    echo $PYTHON_SCRIPT | python3 -
end

set CREDS (set_aws_creds)

set CSFLE_AWS_TEMP_ACCESS_KEY_ID (echo $CREDS | awk '{print $1}')
set CSFLE_AWS_TEMP_SECRET_ACCESS_KEY (echo $CREDS | awk '{print $2}')
set CSFLE_AWS_TEMP_SESSION_TOKEN (echo $CREDS | awk '{print $3}')

set -e CREDS

Run the functional tests:

npm run check:test

The output of the tests will include sections like "Client Side Encryption Corpus," "Client Side Encryption Functional," "Client Side Encryption Prose Tests," and "Client Side Encryption."

To run the functional tests using the crypt shared library instead of mongocryptd, download the appropriate version of the crypt shared library for the enterprise server version here and then set the location of it in the environment variable CRYPT_SHARED_LIB_PATH.

KMIP FLE support tests

Install virtualenv: pip install virtualenv
Source the ./activate-kmstlsvenv.sh script in driver evergreen tools .evergreen/csfle/activate-kmstlsvenv.sh
1. This will install all the dependencies needed to run a python kms_kmip simulated server
In 4 separate terminals launch the following:
- ./kmstlsvenv/bin/python3 -u kms_kmip_server.py # by default it always runs on port 5698
- ./kmstlsvenv/bin/python3 -u kms_http_server.py --ca_file ../x509gen/ca.pem --cert_file ../x509gen/expired.pem --port 8000
- ./kmstlsvenv/bin/python3 -u kms_http_server.py --ca_file ../x509gen/ca.pem --cert_file ../x509gen/wrong-host.pem --port 8001
- ./kmstlsvenv/bin/python3 -u kms_http_server.py --ca_file ../x509gen/ca.pem --cert_file ../x509gen/server.pem --port 8002 --require_client_cert
Set the following environment variables:
- export KMIP_TLS_CA_FILE="${DRIVERS_TOOLS}/.evergreen/x509gen/ca.pem"
- export KMIP_TLS_CERT_FILE="${DRIVERS_TOOLS}/.evergreen/x509gen/client.pem"
Install the FLE lib: npm i --no-save mongodb-client-encryption
Launch a mongodb server
Run the full suite npm run check:test or more specifically npx mocha --config test/mocha_mongodb.json test/integration/client-side-encryption/

TODO Special Env Sections

Kerberos
AWS Authentication
OCSP
TLS
Atlas Data Lake
LDAP
Snappy (maybe in general, how to test optional dependencies)
Atlas connectivity

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readme.md

readme.md

MongoDB Node Driver Test Automation

Table of Contents

About the Tests

Spec Tests

Running the Tests Locally

Testing With Authorization Enabled

Testing Different MongoDB Topologies

Running Individual Tests

Running the Tests in Evergreen

Manually Kicking Off Evergreen Builds

Evergreen UI

Evergreen CLI

Setup

Running the Build

Using a Pre-Release Version of a Dependent Library

Manually Testing the Driver

Writing Tests

Framework

Skipping Tests

Testing with Special Environments

Serverless

Load Balanced

Client-Side Field Level Encryption (CSFLE)

KMIP FLE support tests

TODO Special Env Sections

Files

readme.md

Latest commit

History

readme.md

File metadata and controls

MongoDB Node Driver Test Automation

Table of Contents

About the Tests

Spec Tests

Running the Tests Locally

Testing With Authorization Enabled

Testing Different MongoDB Topologies

Running Individual Tests

Running the Tests in Evergreen

Manually Kicking Off Evergreen Builds

Evergreen UI

Evergreen CLI

Setup

Running the Build

Using a Pre-Release Version of a Dependent Library

Manually Testing the Driver

Writing Tests

Framework

Skipping Tests

Testing with Special Environments

Serverless

Load Balanced

Client-Side Field Level Encryption (CSFLE)

KMIP FLE support tests

TODO Special Env Sections