Closed preritdas closed 3 months ago
The recent updates to the BigDBMClient
class enhance its thread safety through the implementation of a locking mechanism, allowing safe concurrent access to access tokens. This adjustment effectively mitigates race conditions and increases the client's reliability in multi-threaded applications. Additionally, a comprehensive suite of unit tests has been created to validate the effectiveness of these changes.
Files | Change Summary |
---|---|
bigdbm/client.py |
Added threading.Lock for thread safety in the methods _update_token , _access_token_valid , and __request . Documentation updated to reflect thread safety. |
tests/test_client.py |
Introduced unit tests for BigDBMClient , focusing on thread safety during concurrent operations, with handling for environment variables for credentials. |
Objective | Addressed | Explanation |
---|---|---|
Implement thread safety in BigDBMClient (41) |
β | |
Protect access to token-related methods (41) | β | |
Ensure client can handle concurrent requests (41) | β |
In the world of threads that race,
A rabbit hops with gentle grace.
Locks now guard the token's stash,
Preventing any token clash.
With tests in place, we dance with glee,
Thread safety's here, oh joy for me! πβ¨
Since opening this PR, tests have been taking 40+ minutes. Making changes and retrying. Canceled hanging tests.
@coderabbitai resolve
@coderabbitai is there any unnecessary overuse of thread locking that could slow down concurrency?
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Fixes #41 and fixes #47.
This PR implements thread safety measures in the BigDBMClient class to prevent race conditions, particularly in access token management. Here's a detailed explanation of the changes made and their rationale:
Changes to BigDBMClient class:
Added a threading lock:
This creates a single instance of
Lock()
for eachBigDBMClient
instance.Protected token-related methods with the lock:
Explanation of Lock Usage and Race Conditions:
The decision to use a single
Lock()
instance perBigDBMClient
is based on several factors:Shared Resource Protection: The lock protects shared resources (access token and its expiration time) within a single
BigDBMClient
instance.Instance-level Concurrency: Each
BigDBMClient
instance represents a client with its own credentials and token. The lock ensures thread-safety within an instance without unnecessary synchronization across different instances.Efficiency: Using a single lock per instance minimizes the overhead of lock creation and management.
Granularity: The single lock provides appropriate granularity, protecting all interdependent token-related operations.
Simplicity: A single lock for all token operations keeps the code simple and easy to understand.
Race Condition Prevention: The lock effectively prevents race conditions where multiple threads might simultaneously attempt to update or check the token.
This implementation assumes that each
BigDBMClient
instance may be used by multiple threads, but different instances are independent.Test Implementation:
To verify the thread safety of the
BigDBMClient
class, we implemented a concise yet effective test intests/test_client.py
:ThreadPoolExecutor
with 3 workers to simulate concurrent access.This test effectively simulates real-world concurrent usage of the
BigDBMClient
and verifies that our thread safety measures prevent race conditions in token management.Summary by CodeRabbit
New Features
BigDBMClient
class, enhancing the reliability of token management in multi-threaded environments.Tests
BigDBMClient
, simulating concurrent access to validate functionality.