### Hey API { #hey-api }

Once we have a FastAPI app with the models, we can use Hey API to generate a TypeScript client. The fastest way to do that is via npx.

```sh
npx @hey-api/openapi-ts -i http://localhost:8000/openapi.json -o src/client
```

This will generate a TypeScript SDK in `./src/client`.

pkill minio
rm -rf /tmp/xl
rm -rf /tmp/xltier

if [ ! -f ./mc ]; then
	wget --quiet -O mc https://dl.minio.io/client/mc/release/linux-amd64/mc &&
		chmod +x mc
fi

export CI=true
export MINIO_SCANNER_SPEED=fastest

(minio server http://localhost:9000/tmp/xl/{1...10}/disk{0...1} 2>&1 >/tmp/decom.log) &
pid=$!

export MC_HOST_myminio="http://minioadmin:minioadmin@localhost:9000/"

./mc ready myminio

//         greaterThan: 1MiB # match objects with size greater than this value (e.g. 1MiB)
//       purge:
//           # retainVersions: 0 # (default) delete all versions of the object. This option is the fastest.
//           # retainVersions: 5 # keep the latest 5 versions of the object.
//
//     - type: deleted # objects with delete marker as their latest version

    static final GetCheckedTypeValidator BEST_VALIDATOR = getBestValidator();

    enum WeakSetValidator implements GetCheckedTypeValidator {
      INSTANCE;

      /*
       * Static final fields are presumed to be fastest, based on our experience with
       * UnsignedBytesBenchmark. TODO(cpovirk): benchmark this
       */
      /*
       * A CopyOnWriteArraySet<WeakReference> is faster than a newSetFromMap of a MapMaker map with

The key features are:

* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
* **Fewer bugs**: Reduce about 40% of human (developer) induced errors. *

///

/// check | Inspired **FastAPI** to

Find a way to have a crazy performance.

That's why **FastAPI** is based on Starlette, as it is the fastest framework available (tested by third-party benchmarks).

///

### [Falcon](https://falconframework.org/) { #falcon }

The key features are:

* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
* **Fewer bugs**: Reduce about 40% of human (developer) induced errors. *

With **FastAPI** you get all of **Starlette**'s features (as FastAPI is just Starlette on steroids):

* Seriously impressive performance. It is [one of the fastest Python frameworks available, on par with **NodeJS** and **Go**](https://github.com/encode/starlette#performance).
* **WebSocket** support.
* In-process background tasks.
* Startup and shutdown events.

It was found that the directory staging committer was the fastest among the three, S3A connector should be configured with the following parameters for optimal results:

```
cat ${HADOOP_CONF_DIR}/core-site.xml | kv-pairify | grep "s3a"

fs.s3a.access.key=minio

   * previously configured separator between each.
   */
  public String join(Iterable<?> parts) {
    /*
     * If we can quickly determine how many elements there are likely to be, then we can use the
     * fastest possible implementation, which delegates to the array overload of String.join.
     *
     * In theory, we can quickly determine the size of any Collection. However, thanks to