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| author | Jordan Cook <jordan.cook@pioneer.com> | 2021-08-20 23:17:06 -0500 |
|---|---|---|
| committer | Jordan Cook <jordan.cook@pioneer.com> | 2021-08-20 23:17:06 -0500 |
| commit | e6fff586cd94685e7a8354170e070cb692ad4430 (patch) | |
| tree | bae47940232ba51b07c8a3cab5298cc18dcd384a /requests_cache/backends | |
| parent | 9c89fe2a5f696e2ea786fb368529e3cb421c0b57 (diff) | |
| download | requests-cache-e6fff586cd94685e7a8354170e070cb692ad4430.tar.gz | |
Add CLI arg to benchmark script to select a backend
Diffstat (limited to 'requests_cache/backends')
| -rw-r--r-- | requests_cache/backends/dynamodb.py | 4 | ||||
| -rw-r--r-- | requests_cache/backends/sqlite.py | 2 |
2 files changed, 5 insertions, 1 deletions
diff --git a/requests_cache/backends/dynamodb.py b/requests_cache/backends/dynamodb.py index b97952a..d30d55f 100644 --- a/requests_cache/backends/dynamodb.py +++ b/requests_cache/backends/dynamodb.py @@ -7,6 +7,10 @@ Services <https://aws.amazon.com>`_. In terms of features and use cases, it is r MongoDB and other NoSQL databases. It is an especially good fit for serverless applications running on `AWS Lambda <https://aws.amazon.com/lambda>`_. +.. warning:: + DynamoDB binary item sizes are limited to 400KB. If you need to cache larger responses, consider + using a different backend. + Connection Options ^^^^^^^^^^^^^^^^^^ The DynamoDB backend accepts any keyword arguments for :py:meth:`boto3.session.Session.resource`. diff --git a/requests_cache/backends/sqlite.py b/requests_cache/backends/sqlite.py index 4429bc9..a66e228 100644 --- a/requests_cache/backends/sqlite.py +++ b/requests_cache/backends/sqlite.py @@ -92,7 +92,7 @@ When working with average-sized HTTP responses (< 1MB) and using a modern SSD fo can expect speeds of around: * Write: 2-8ms -* Read: 0.3-0.6ms +* Read: 0.2-0.6ms Of course, this will vary based on hardware specs, response size, and other factors. |