lychee/examples/client_pool
Matthias 3d5135668b
Improve concurrency with streams (#330)
* Move to from vec to streams

Previously we collected all inputs in one vector
before checking the links, which is not ideal.
Especially when reading many inputs (e.g. by using a glob pattern),
this could cause issues like running out of file handles.

By moving to streams we avoid that scenario. This is also the first
step towards improving performance for many inputs.

To stay as close to the pre-stream behaviour, we want to stop processing
as soon as an Err value appears in the stream. This is easiest when the
stream is consumed in the main thread.
Previously, the stream was consumed in a tokio task and the main thread
waited for responses.
Now, a tokio task waits for responses (and displays them/registers
response stats) and the main thread sends links to the ClientPool.
To ensure that the main thread waits for all responses to have arrived
before finishing the ProgressBar and printing the stats, it waits for
the show_results_task to finish.


* Return collected links as Stream
* Initialize ProgressBar without length because we can't know the amount of links without blocking
* Handle stream results in main thread, not in task
* Add basic directory support using jwalk
* Add test for HTTP protocol file type (http://)
* Remove deadpool (once again): Replaced with `futures::StreamExt::for_each_concurrent`.
* Refactor main; fix tests
* Move commands into separate submodule
* Simplify input handling
* Simplify collector
* Remove unnecessary unwrap
* Simplify main
* cleanup check
* clean up dump command
* Handle requests in parallel 
* Fix formatting and lints

Co-authored-by: Timo Freiberg <self@timofreiberg.com>
2021-12-01 18:25:11 +01:00
..
Cargo.toml Improve concurrency with streams (#330) 2021-12-01 18:25:11 +01:00
client_pool.rs Improve concurrency with streams (#330) 2021-12-01 18:25:11 +01:00