A monkey patch for prometheus_client, using GCC atomics for extra speed on CPython
Project description
cPrometheus
===========
Make `prometheus_client` go faster, with zero effort.
```
import cPrometheus # MOAR speed
# Now do stuff with prometheus_client, but faster
import prometheus_client
# ...
```
Note: This is not compatible with multiprocess mode. If you are using
multiprocess mode, this package is not for you.
How It Works
------------
Internally, `prometheus_client` stores values in a class called `_MutexValue`.
As the name suggests, this class is protected by a mutex, and can become a
bottleneck when placed in tight inner loops.
This package monkey patches `prometheus_client` to use its own class,
`_AtomicValue`, which internally uses gcc's `__atomic` operations.
Yes, I know `stdatomic` is more portable, but I've got a requirement to
support gcc 4.8.
Further Work
------------
- Be more portable
- Consider stealing Java 8 `DoubleAdder`'s design, if even more speed is
needed.
- Can multiprocess be done?
===========
Make `prometheus_client` go faster, with zero effort.
```
import cPrometheus # MOAR speed
# Now do stuff with prometheus_client, but faster
import prometheus_client
# ...
```
Note: This is not compatible with multiprocess mode. If you are using
multiprocess mode, this package is not for you.
How It Works
------------
Internally, `prometheus_client` stores values in a class called `_MutexValue`.
As the name suggests, this class is protected by a mutex, and can become a
bottleneck when placed in tight inner loops.
This package monkey patches `prometheus_client` to use its own class,
`_AtomicValue`, which internally uses gcc's `__atomic` operations.
Yes, I know `stdatomic` is more portable, but I've got a requirement to
support gcc 4.8.
Further Work
------------
- Be more portable
- Consider stealing Java 8 `DoubleAdder`'s design, if even more speed is
needed.
- Can multiprocess be done?
Project details
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