Python wrapper for hiredis
Python extension that wraps protocol parsing code in hiredis. It primarily speeds up parsing of multi bulk replies.
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hiredis-py is available on PyPI, and can be installed via:
pip install hiredis
Building this repository requires a recursive checkout of submodules, and building hiredis. The following example shows how to clone, compile, and run tests. Please note - you will need the gcc installed.
git clone --recursse-submodules https://github.com/redis/hiredis-py
python setup.py build_ext --inplace
python -m pytest
hiredis-py requires Python 3.7+.
Make sure Python development headers are available when installing hiredis-py.
On Ubuntu/Debian systems, install them with apt-get install python3-dev
.
The hiredis
module contains the Reader
class. This class is responsible for
parsing replies from the stream of data that is read from a Redis connection.
It does not contain functionality to handle I/O.
The Reader
class has two methods that are used when parsing replies from a
stream of data. Reader.feed
takes a string argument that is appended to the
internal buffer. Reader.gets
reads this buffer and returns a reply when the
buffer contains a full reply. If a single call to feed
contains multiple
replies, gets
should be called multiple times to extract all replies.
Example:
>>> reader = hiredis.Reader()
>>> reader.feed("$5\r\nhello\r\n")
>>> reader.gets()
b'hello'
When the buffer does not contain a full reply, gets
returns False
.
This means extra data is needed and feed
should be called again before calling
gets
again. Alternatively you could provide custom sentinel object via parameter,
which is useful for RESP3 protocol where native boolean types are supported:
Example:
>>> reader.feed("*2\r\n$5\r\nhello\r\n")
>>> reader.gets()
False
>>> reader.feed("$5\r\nworld\r\n")
>>> reader.gets()
[b'hello', b'world']
>>> reader = hiredis.Reader(notEnoughData=Ellipsis)
>>> reader.gets()
Ellipsis
hiredis.Reader
is able to decode bulk data to any encoding Python supports.
To do so, specify the encoding you want to use for decoding replies when
initializing it:
>>> reader = hiredis.Reader(encoding="utf-8", errors="strict")
>>> reader.feed(b"$3\r\n\xe2\x98\x83\r\n")
>>> reader.gets()
'☃'
Decoding of bulk data will be attempted using the specified encoding and
error handler. If the error handler is 'strict'
(the default), a
UnicodeDecodeError
is raised when data cannot be dedcoded. This is identical
to Python's default behavior. Other valid values to errors
include
'replace'
, 'ignore'
, and 'backslashreplace'
. More information on the
behavior of these error handlers can be found
here.
When the specified encoding cannot be found, a LookupError
will be raised
when calling gets
for the first reply with bulk data.
When a protocol error occurs (because of multiple threads using the same
socket, or some other condition that causes a corrupt stream), the error
hiredis.ProtocolError
is raised. Because the buffer is read in a lazy
fashion, it will only be raised when gets
is called and the first reply in
the buffer contains an error. There is no way to recover from a faulty protocol
state, so when this happens, the I/O code feeding data to Reader
should
probably reconnect.
Redis can reply with error replies (-ERR ...
). For these replies, the custom
error class hiredis.ReplyError
is returned, but not raised.
When other error types should be used (so existing code doesn't have to change
its except
clauses), Reader
can be initialized with the protocolError
and
replyError
keywords. These keywords should contain a class that is a
subclass of Exception
. When not provided, Reader
will use the default
error types.
The repository contains a benchmarking script in the benchmark
directory,
which uses gevent to have non-blocking I/O and redis-py
to handle connections. These benchmarks are done with a patched version of
redis-py that uses hiredis-py when it is available.
All benchmarks are done with 10 concurrent connections.
List entries in the following tests are 5 bytes.
Throughput improvement for simple SET/GET is minimal, but the larger multi bulk replies get, the larger the performance improvement is.
This code is released under the BSD license, after the license of hiredis.