## Problem
Currently, even if `LAMBDA_REMOTE_DOCKER=1`, we unzip the zip files in the directory they are in, which is usually /var/lib/localstack, which usually has a bind mount to the host.
On docker desktop, due to the use of grpc-FUSE (on macos), this can be very slow, about 200 times slower than on volumes / directly on the host. With experimental virtio filesystem enabled (also on macos), this can be reduced to about 30 times as slow, but still problematic.
This means a lambda may take a lot of time processing, for each additional layer some more. This especially affects nodejs lambdas with huge node_modules folders.

## Probable solution
At least if `LAMBDA_REMOTE_DOCKER=1`, we should leave the initial zip files on the bind mount (for persistence etc), but the working directories after unzipping should be located on non-bind mounts, to speed up the IO for unzipping.
region = LambdaRegion.get()
    for i, m in enumerate(region.event_source_mappings):
        if uuid_value == m["UUID"]:
            return region.event_source_mappings.pop(i)
    return {}
@synchronized(lock=EXEC_MUTEX)
def use_docker():
    global DO_USE_DOCKER
    if DO_USE_DOCKER is None:
        DO_USE_DOCKER = False
        if "docker" in get_executor_mode():
            has_docker = DOCKER_CLIENT.has_docker()
            if not has_docker:
                LOG.warning(
                    (
                        "Lambda executor configured as LAMBDA_EXECUTOR=%s but Docker "
                        "is not accessible. Please make sure to mount the Docker socket "
                        "/var/run/docker.sock into the container."
                    ),
                    get_executor_mode(),
                )
            DO_USE_DOCKER = has_docker
    return DO_USE_DOCKER
def fix_proxy_path_params(path_params):
    proxy_path_param_value = path_params.get("proxy+")
    if not proxy_path_param_value:
        return
    del path_params["proxy+"]
    path_params["proxy"] = proxy_path_param_value
def message_attributes_to_lower(message_attrs):