Throttle

Semaphores for distributed systems.

Motivation

Throttle provides semaphores as a service via an http interface. As the name indicates the primary usecase in mind is to throttle a systems access to a resource, by having the elements of that system to ask for permission (i.e. acquiring a lease) first. If the system consists of several process running on different machines, or virtual machines in the same Network, throttle might fit the bill.

Throttle aims to be easy to operate, well-behaved in edge cases and works without a persistence backend.

Features

Installation

Server

Run with Docker

The throttle sever is also released as a small container image to docker hub.

shell docker pull pacman82/throttle

Assuming you have a throttle.toml configuration file in the current working directory you could then run the server using:

shell docker run --rm -v ${PWD}:/cfg -p 8000:8000 pacman82/throttle -c cfg/throttle.toml

Download binary release

For Windows, OS-X and Linux there are prebuild binaries available together with the GitHub release. You can find the latest release at https://github.com/pacman82/throttle/releases/latest.

Install with Cargo

The server binary is published to crates.io and thus installable via cargo.

bash cargo install throttle-server

Python Client

Python client is published to PyPi and can be installed using pip.

bash pip install throttle-client

Usage

Operating a Throttle server

Starting and Shutdown

Assuming the throttle executable to be in your path environment variable, you start a throttle sever by executing it. You can display the availible command line options using the --help flag. Starting it without any arguments is going to boot the server with default configuration.

bash throttle

This starts the server in the current process. Navigate with a browser to localhost:8000 to see a welcoming message. You can shut Throttle down gracefully by pressing Ctrl + C.

Logging to stderr

Set the THROTTLE_LOG environment variable to see more output on standard error. Valid values are ERROR, WARN, INFO, DEBUG and TRACE.

In bash:

bash THROTTLE_LOG=WARN

or PowerShell:

shell $env:THROTLLE_LOG="INFO"

Starting the server now yields more information.

log [2020-04-12T18:56:23Z INFO throttle] Hello From Throttle [2020-04-12T18:56:23Z WARN throttle] No semaphores configured. [2020-04-12T18:56:23Z INFO actix_server::builder] Starting 8 workers [2020-04-12T18:56:23Z INFO actix_server::builder] Starting "actix-web-service-127.0.0.1:8000" service on 127.0.0.1:8000 [2020-04-12T18:56:23Z INFO throttle::litter_collection] Start litter collection with interval: 300s

Toml configuration file

To actually serve semaphores, we need to configure their names and full count. By default Throttle is looking for a configuration in the working directories throttle.toml file should it exist.

```toml

Sample throttle.cfg Explaining the options

The time interval in which the litter collection backgroud thread checks for expired leases.

Default is set to 5 minutes.

littercollectioninterval = "5min"

[semaphores]

Specify name and full count of semaphores. Below line creates a semaphore named A with a full

count of 42. Setting the count to 1 would create a Mutex.

A = 42

Optional logging config, to log to stderr. Can be overwritten using the THROTTLE_LOG

environment variable.

[logging.stderr]

Set this to either ERROR, WARN, INFO, DEBUG or TRACE.

level = "INFO"

```

Metrics

Throttle supports Prometheus metrics, via the /metrics endpoint. Depending on your configuration and state they may e.g. look like this:

```prometheus

HELP throttle_acquired Sum of all acquired locks.

TYPE throttle_acquired gauge

throttle_acquired{semaphore="A"} 0

HELP throttlelongestpending_sec Time the longest pending peer is waiting until now, to acquire a lock to a semaphore.

TYPE throttlelongestpending_sec gauge

throttlelongestpending_sec{semaphore="A"} 0

HELP throttle_max Maximum allowed lock count for this semaphore.

TYPE throttle_max gauge

throttle_max{semaphore="A"} 42

HELP throttlenum404 Number of Get requests to unknown resource.

TYPE throttlenum404 counter

throttlenum404 0

HELP throttle_pending Sum of all pending locks

TYPE throttle_pending gauge

throttle_pending{semaphore="A"} 0 ```

Python client

Throttle ships with a Python client. Here is how to use it in a nutshell.

```python from throttle_client import Peer, lock

Configure endpoint to throttle server

url = "http://localhost:8000"

Acquire a lock (with count 1) to semaphore A

with lock(url, "A"): # Do stuff while holding lock to "A" # ...

For acquiring lock count != 1 the count can be explicitly specified.

with lock(url, "A", count=4): # Do stuff while holding lock to "A" # ...

A is released at the end of with block

```

Preventing Deadlocks with lock hierarchies

Assume two semaphores A and B.

toml [semaphores] A = 1 B = 1

You want to acquire locks to them in a nested fashion:

```python from throttle_client import Peer, lock

Configure endpoint to throttle server

url = "http://localhost:8000"

Acquire a lock to semaphore A

with lock(url, "A"): # Do stuff while holding lock to "A" # ... with lock(url, "B") # <-- This throws an exception: "Lock Hierarchy Violation". # ...

```

The throttle server helps you preventing deadlocks. If A and B are not always locked in the same order, your system might deadlock at some point. Such errors can be hard to Debug, which is why throttle fails early at any chance of deadlock. To enable the use case above, give A a lock level higher than B.

```toml [semaphores] A = { max=1, level=1 }

Level 0 is default. So the short notation is still good for B.

B = 1 ```

Http routes

Routes for managing peers and locks