The Fix
pip install redis==4.0.0
Based on closed redis/redis-py issue #521 · PR/commit linked
Production note: Watch p95/p99 latency and retry volume; timeouts can turn into retry storms and duplicate side-effects.
@@ -348,7 +348,7 @@ def read_response(self):
# buffer. if the data received doesn't end with \r\n, there's more.
if HIREDIS_USE_BYTE_BUFFER:
- if self._buffer[bufflen - 2:bufflen] != SYM_CRLF:
+ if bufflen > 2 and self._buffer[bufflen - 2:bufflen] != SYM_CRLF:
continue
File "/app/.heroku/python/lib/python2.7/site-packages/redis/client.py", line 2593, in execute
return execute(conn, stack, raise_on_error)
File "/app/.heroku/python/lib/python2.7/site-packages/redis/client.py", line 2514, in _execute_pipeline
self.parse_response(connection, args[0], **options))
File "/app/.heroku/python/lib/python2.7/site-packages/redis/client.py", line 2536, in parse_response
self, connection, command_name, **options)
File "/app/.heroku/python/lib/python2.7/site-packages/redis/client.py", line 577, in parse_response
response = connection.read_response()
File "/app/.heroku/python/lib/python2.7/site-packages/redis/connection.py", line 569, in read_response
response = self._parser.read_response()
File "/app/.heroku/python/lib/python2.7/site-packages/redis/connection.py", line 339, in read_response
raise TimeoutError("Timeout reading from socket")
TimeoutError: Timeout reading from socket
Re-run the minimal reproduction on your broken version, then apply the fix and re-run.
Option A — Upgrade to fixed release\npip install redis==4.0.0\nWhen NOT to use: This fix should not be applied if the application relies on the previous buffer handling behavior.\n\n
Why This Fix Works in Production
- Trigger: return execute(conn, stack, raise_on_error)
- Mechanism: An edge case in buffer handling caused a TimeoutError during pipeline execution
- Why the fix works: Handles an edge case in buffer handling that caused a TimeoutError in version 2.10.2. (first fixed release: 4.0.0).
- If left unfixed, this can cause silent data inconsistencies that propagate (bad cache entries, incorrect downstream decisions).
Why This Breaks in Prod
- Shows up under Python 2.7 in real deployments (not just unit tests).
- An edge case in buffer handling caused a TimeoutError during pipeline execution
- Surfaces as: File "/app/.heroku/python/lib/python2.7/site-packages/redis/client.py", line 2593, in execute
Proof / Evidence
- GitHub issue: #521
- Fix PR: https://github.com/redis/redis-py/pull/522
- First fixed release: 4.0.0
- Reproduced locally: No (not executed)
- Last verified: 2026-02-09
- Confidence: 0.70
- Did this fix it?: Yes (upstream fix exists)
- Own content ratio: 0.33
Discussion
High-signal excerpts from the issue thread (symptoms, repros, edge-cases).
“I'm able to reproduce this with HIREDIS_USE_BYTE_BUFFER == False. In the last iteration, the only character received is \n And self._reader.gets() evals True.”
Failure Signature (Search String)
- return execute(conn, stack, raise_on_error)
Error Message
Stack trace
Error Message
-------------
File "/app/.heroku/python/lib/python2.7/site-packages/redis/client.py", line 2593, in execute
return execute(conn, stack, raise_on_error)
File "/app/.heroku/python/lib/python2.7/site-packages/redis/client.py", line 2514, in _execute_pipeline
self.parse_response(connection, args[0], **options))
File "/app/.heroku/python/lib/python2.7/site-packages/redis/client.py", line 2536, in parse_response
self, connection, command_name, **options)
File "/app/.heroku/python/lib/python2.7/site-packages/redis/client.py", line 577, in parse_response
response = connection.read_response()
File "/app/.heroku/python/lib/python2.7/site-packages/redis/connection.py", line 569, in read_response
response = self._parser.read_response()
File "/app/.heroku/python/lib/python2.7/site-packages/redis/connection.py", line 339, in read_response
raise TimeoutError("Timeout reading from socket")
TimeoutError: Timeout reading from socket
Minimal Reproduction
File "/app/.heroku/python/lib/python2.7/site-packages/redis/client.py", line 2593, in execute
return execute(conn, stack, raise_on_error)
File "/app/.heroku/python/lib/python2.7/site-packages/redis/client.py", line 2514, in _execute_pipeline
self.parse_response(connection, args[0], **options))
File "/app/.heroku/python/lib/python2.7/site-packages/redis/client.py", line 2536, in parse_response
self, connection, command_name, **options)
File "/app/.heroku/python/lib/python2.7/site-packages/redis/client.py", line 577, in parse_response
response = connection.read_response()
File "/app/.heroku/python/lib/python2.7/site-packages/redis/connection.py", line 569, in read_response
response = self._parser.read_response()
File "/app/.heroku/python/lib/python2.7/site-packages/redis/connection.py", line 339, in read_response
raise TimeoutError("Timeout reading from socket")
TimeoutError: Timeout reading from socket
Environment
- Python: 2.7
What Broke
Timeouts occurred when executing a pipeline with certain arguments, impacting application performance.
Why It Broke
An edge case in buffer handling caused a TimeoutError during pipeline execution
Fix Options (Details)
Option A — Upgrade to fixed release Safe default (recommended)
pip install redis==4.0.0
Use when you can deploy the upstream fix. It is usually lower-risk than long-lived workarounds.
Fix reference: https://github.com/redis/redis-py/pull/522
First fixed release: 4.0.0
Last verified: 2026-02-09. Validate in your environment.
When NOT to Use This Fix
- This fix should not be applied if the application relies on the previous buffer handling behavior.
Verify Fix
Re-run the minimal reproduction on your broken version, then apply the fix and re-run.
Did This Fix Work in Your Case?
Quick signal helps us prioritize which fixes to verify and improve.
Prevention
- Make timeouts explicit and test them (unit + integration) to avoid silent behavior changes.
- Instrument retries (attempt count + reason) and alert on spikes to catch dependency slowdowns.
Version Compatibility Table
| Version | Status |
|---|---|
| 4.0.0 | Fixed |
Related Issues
No related fixes found.
Sources
We don’t republish the full GitHub discussion text. Use the links above for context.