How to make request_cache work with many concurrent requests?

Question

I get and cache (for performance) a lot of URLs with something like:

import requests
import requests_cache
from multiprocessing.pool import ThreadPool

urls = ['http://www.google.com', ...]
with requests_cache.enabled():
    responses = ThreadPool(100).map(requests.get, urls)

However, I get a lot of errors for:

sqlite3.OperationalError: database is locked

Clearly, too many threads are accessing the cache at the same time.

So, it requests_cachesupports some kind of transaction, so that recording only happens when all threads are complete? For instance.

with requests_cache.enabled():
    with requests_cache.transaction():
        responses = ThreadPool(100).map(requests.get, urls)