Commit Graph

2 Commits

Author SHA1 Message Date
Christian Schwarz
ad6f538aef tokio-epoll-uring: use it for on-demand downloads (#6992)
# Problem

On-demand downloads are still using `tokio::fs`, which we know is
inefficient.

# Changes

- Add `pagebench ondemand-download-churn` to quantify on-demand download
throughput
- Requires dumping layer map, which required making `history_buffer`
impl `Deserialize`
- Implement an equivalent of `tokio::io::copy_buf` for owned buffers =>
`owned_buffers_io` module and children.
- Make layer file download sensitive to `io_engine::get()`, using
VirtualFile + above copy loop
- For this, I had to move some code into the `retry_download`, e.g.,
`sync_all()` call.

Drive-by:
- fix missing escaping in `scripts/ps_ec2_setup_instance_store` 
- if we failed in retry_download to create a file, we'd try to remove
it, encounter `NotFound`, and `abort()` the process using
`on_fatal_io_error`. This PR adds treats `NotFound` as a success.

# Testing

Functional

- The copy loop is generic & unit tested.

Performance

- Used the `ondemand-download-churn` benchmark to manually test against
real S3.
- Results (public Notion page):
https://neondatabase.notion.site/Benchmarking-tokio-epoll-uring-on-demand-downloads-2024-04-15-newer-code-03c0fdc475c54492b44d9627b6e4e710?pvs=4
- Performance is equivalent at low concurrency. Jumpier situation at
high concurrency, but, still less CPU / throughput with
tokio-epoll-uring.
  - It’s a win.

# Future Work

Turn the manual performance testing described in the above results
document into a performance regression test:
https://github.com/neondatabase/neon/issues/7146
2024-03-15 18:57:05 +00:00
Christian Schwarz
58fa4f0eb7 maintain access stats for historic layers
This patch adds basic access statistics for historic layers
and exposes them in the management API's `LayerMapInfo`.

We record the accesses in the `{Delta,Image}Layer::load()` function
because it's the common path of
* page_service (`Timline::get_reconstruct_data()`)
* Compaction (`PersistentLayer::iter()` and `PersistentLayer::key_iter()`)

The stats survive residence status changes, and record these as well.

When scraping the layer map endpoint to record its evolution over time,
one must account for stat resets because they are in-memory only and
will reset on pageserver restart.
Use the launch timestamp header added by (#3527) to identify pageserver restarts.

This is PR https://github.com/neondatabase/neon/pull/3496
2023-02-06 17:01:38 +01:00