hiett/serverless-redis-httpA Redis proxy and connection pooler that uses HTTP rather than the Redis binary protocol.
The aim of this project is to be entirely compatible with Upstash, and work with any Upstash supported Redis version.
Use cases for SRH:
SRH tests are ran nightly against the @upstash/redis JavaScript package. However, there are some minor differences between Upstash's implementation of Redis and the official Redis code.
UNLINK command will not throw an error when 0 keys are given to it. In Redis, and as such SRH, an error will be thrown.ZRANGE command, in Upstash you are not required to provide BYSCORE or BYLEX in order to use the LIMIT argument. With Redis/SRH, this will throw an error if not provided.RedisJSON contains a number of subtle differences in what is returned in responses. For this reason, it is not advisable to use SRH with Redis Stack if you are testing your Upstash implementation that uses JSON commands. If you don't use any JSON commands, then all is good :)@upstash/redis SDK uses.Pipelines and Transaction endpoints are also implemented, also using the body data only. You can read more about the RestAPI here: Upstash Docs on the Rest API
Response encoding is also fully implemented. This is enabled by default by the @upstash/redis SDK. You can read more about that here: Upstash Docs on Hashed Responses
@upstash/redis SDKSimply set the REST URL and token to where the SRH instance is running. For example:
tsimport {Redis} from '@upstash/redis'; export const redis = new Redis({ url: "http://localhost:8079", token: "example_token", });
If you have a locally running Redis server, you can simply start an SRH container that connects to it.
In this example, SRH will be running on port 8080.
bashdocker run \ -it -d -p 8080:80 --name srh \ -e SRH_MODE=env \ -e SRH_TOKEN=your_token_here \ -e SRH_CONNECTION_STRING="redis://your_server_here:6379" \ hiett/serverless-redis-http:latest
If you wish to run in Kubernetes, this should contain all the basics would need to set that up. However, be sure to read the Configuration Options, because you can create a setup whereby multiple Redis servers are proxied.
ymlversion: '3' services: redis: image: redis ports: - '6379:6379' serverless-redis-http: ports: - '8079:80' image: hiett/serverless-redis-http:latest environment: SRH_MODE: env SRH_TOKEN: example_token SRH_CONNECTION_STRING: 'redis://redis:6379' # Using `redis` hostname since they're in the same Docker network.
SRH works nicely in GitHub Actions because you can run it as a container in a job's services. Simply start a Redis server, and then SRH alongside it. You don't need to worry about a race condition of the Redis instance not being ready, because SRH doesn't create a Redis connection until the first command comes in.
ymlname: Test @upstash/redis compatability on: push: workflow_dispatch: env: SRH_TOKEN: example_token jobs: container-job: runs-on: ubuntu-latest container: denoland/deno services: redis: image: redis/redis-stack-server:6.2.6-v6 # 6.2 is the Upstash compatible Redis version srh: image: hiett/serverless-redis-http:latest env: SRH_MODE: env # We are using env mode because we are only connecting to one server. SRH_TOKEN: ${{ env.SRH_TOKEN }} SRH_CONNECTION_STRING: redis://redis:6379 steps: # You can place your normal testing steps here. In this example, we are running SRH against the upstash/upstash-redis test suite. - name: Checkout code uses: actions/checkout@v3 with: repository: upstash/upstash-redis - name: Run @upstash/redis Test Suite run: deno test -A ./pkg env: UPSTASH_REDIS_REST_URL: [***] UPSTASH_REDIS_REST_TOKEN: ${{ env.SRH_TOKEN }}
SRH works with multiple Redis servers, and can pool however many connections you wish it to. It will shut down un-used pools after 15 minutes of inactivity. Upon the next command, it will re-build the pool.
The examples above use environment variables in order to tell SRH which Redis server to connect to. However, you can also use a configuration JSON file, which lets you create as many connections as you wish. The token provided in each request will decide which pool is used.
Create a JSON file, in this example called tokens.json:
json{ "example_token": { "srh_id": "some_unique_identifier", "connection_string": "redis://localhost:6379", "max_connections": 3 } }
You can provide as many entries to the base object as you wish, and configure the number of max connections per pool. The srh_id is used internally to keep track of instances. It can be anything you want.
Once you have created this, mount it to the docker container to the /app/srh-config/tokens.json file. Here is an example docker command:
docker run -it -d -p 8079:80 --name srh --mount type=bind,source=$(pwd)/tokens.json,target=/app/srh-config/tokens.json hiett/serverless-redis-http:latest
| Name | Default Value | Notes |
|---|---|---|
| SRH_MODE | file | Can be env or file. If file, see Connecting to multiple Redis servers. If set to env, you are required to provide the following environment variables: |
| SRH_TOKEN | <required if SRH_MODE = env> | Set the token that the Rest API will require |
| SRH_CONNECTION_STRING | <required if SRH_MODE = env> | Sets the connection string to the Redis server. |
| SRH_MAX_CONNECTIONS | 3 | Only used if SRH_MODE=env. |
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