## 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.
source = source_arn.split(":")[2].lower()
    source = "kafka" if "secretsmanager" in source else source
    batch_size_entry = BATCH_SIZE_RANGES.get(source)
    if not batch_size_entry:
        raise ValueError(INVALID_PARAMETER_VALUE_EXCEPTION, "Unsupported event source type")
    batch_size = batch_size or batch_size_entry[0]
    if batch_size > batch_size_entry[1]:
        raise ValueError(
            INVALID_PARAMETER_VALUE_EXCEPTION,
            "BatchSize {} exceeds the max of {}".format(batch_size, batch_size_entry[1]),
        )
    return batch_size
def build_mapping_obj(data) -> Dict: