Files
neon/pageserver/benches/bench_ingest.rs
Christian Schwarz 850421ec06 refactor(pageserver): rely on serde derive for toml deserialization (#7656)
This PR simplifies the pageserver configuration parsing as follows:

* introduce the `pageserver_api::config::ConfigToml` type
* implement `Default` for `ConfigToml`
* use serde derive to do the brain-dead leg-work of processing the toml
document
  * use `serde(default)` to fill in default values
* in `pageserver` crate:
* use `toml_edit` to deserialize the pageserver.toml string into a
`ConfigToml`
  * `PageServerConfig::parse_and_validate` then
    * consumes the `ConfigToml`
    * destructures it exhaustively into its constituent fields
    * constructs the `PageServerConfig`

The rules are:

* in `ConfigToml`, use `deny_unknown_fields` everywhere
* static default values go in `pageserver_api`
* if there cannot be a static default value (e.g. which default IO
engine to use, because it depends on the runtime), make the field in
`ConfigToml` an `Option`
* if runtime-augmentation of a value is needed, do that in
`parse_and_validate`
* a good example is `virtual_file_io_engine` or `l0_flush`, both of
which need to execute code to determine the effective value in
`PageServerConf`

The benefits:

* massive amount of brain-dead repetitive code can be deleted
* "unused variable" compile-time errors when removing a config value,
due to the exhaustive destructuring in `parse_and_validate`
* compile-time errors guide you when adding a new config field

Drawbacks:

* serde derive is sometimes a bit too magical
* `deny_unknown_fields` is easy to miss

Future Work / Benefits:
* make `neon_local` use `pageserver_api` to construct `ConfigToml` and
write it to `pageserver.toml`
* This provides more type safety / coompile-time errors than the current
approach.

### Refs

Fixes #3682 

### Future Work

* `remote_storage` deser doesn't reject unknown fields
https://github.com/neondatabase/neon/issues/8915
* clean up `libs/pageserver_api/src/config.rs` further
  * break up into multiple files, at least for tenant config
* move `models` as appropriate / refine distinction between config and
API models / be explicit about when it's the same
  * use `pub(crate)` visibility on `mod defaults` to detect stale values
2024-09-05 14:59:49 +02:00

259 lines
8.2 KiB
Rust

use std::{env, num::NonZeroUsize};
use bytes::Bytes;
use camino::Utf8PathBuf;
use criterion::{criterion_group, criterion_main, Criterion};
use pageserver::{
config::PageServerConf,
context::{DownloadBehavior, RequestContext},
l0_flush::{L0FlushConfig, L0FlushGlobalState},
page_cache,
repository::Value,
task_mgr::TaskKind,
tenant::storage_layer::inmemory_layer::SerializedBatch,
tenant::storage_layer::InMemoryLayer,
virtual_file,
};
use pageserver_api::{key::Key, shard::TenantShardId};
use utils::{
bin_ser::BeSer,
id::{TenantId, TimelineId},
};
// A very cheap hash for generating non-sequential keys.
fn murmurhash32(mut h: u32) -> u32 {
h ^= h >> 16;
h = h.wrapping_mul(0x85ebca6b);
h ^= h >> 13;
h = h.wrapping_mul(0xc2b2ae35);
h ^= h >> 16;
h
}
enum KeyLayout {
/// Sequential unique keys
Sequential,
/// Random unique keys
Random,
/// Random keys, but only use the bits from the mask of them
RandomReuse(u32),
}
enum WriteDelta {
Yes,
No,
}
async fn ingest(
conf: &'static PageServerConf,
put_size: usize,
put_count: usize,
key_layout: KeyLayout,
write_delta: WriteDelta,
) -> anyhow::Result<()> {
let mut lsn = utils::lsn::Lsn(1000);
let mut key = Key::from_i128(0x0);
let timeline_id = TimelineId::generate();
let tenant_id = TenantId::generate();
let tenant_shard_id = TenantShardId::unsharded(tenant_id);
tokio::fs::create_dir_all(conf.timeline_path(&tenant_shard_id, &timeline_id)).await?;
let ctx = RequestContext::new(TaskKind::DebugTool, DownloadBehavior::Error);
let gate = utils::sync::gate::Gate::default();
let entered = gate.enter().unwrap();
let layer =
InMemoryLayer::create(conf, timeline_id, tenant_shard_id, lsn, entered, &ctx).await?;
let data = Value::Image(Bytes::from(vec![0u8; put_size]));
let data_ser_size = data.serialized_size().unwrap() as usize;
let ctx = RequestContext::new(
pageserver::task_mgr::TaskKind::WalReceiverConnectionHandler,
pageserver::context::DownloadBehavior::Download,
);
const BATCH_SIZE: usize = 16;
let mut batch = Vec::new();
for i in 0..put_count {
lsn += put_size as u64;
// Generate lots of keys within a single relation, which simulates the typical bulk ingest case: people
// usually care the most about write performance when they're blasting a huge batch of data into a huge table.
match key_layout {
KeyLayout::Sequential => {
// Use sequential order to illustrate the experience a user is likely to have
// when ingesting bulk data.
key.field6 = i as u32;
}
KeyLayout::Random => {
// Use random-order keys to avoid giving a false advantage to data structures that are
// faster when inserting on the end.
key.field6 = murmurhash32(i as u32);
}
KeyLayout::RandomReuse(mask) => {
// Use low bits only, to limit cardinality
key.field6 = murmurhash32(i as u32) & mask;
}
}
batch.push((key.to_compact(), lsn, data_ser_size, data.clone()));
if batch.len() >= BATCH_SIZE {
let this_batch = std::mem::take(&mut batch);
let serialized = SerializedBatch::from_values(this_batch).unwrap();
layer.put_batch(serialized, &ctx).await?;
}
}
if !batch.is_empty() {
let this_batch = std::mem::take(&mut batch);
let serialized = SerializedBatch::from_values(this_batch).unwrap();
layer.put_batch(serialized, &ctx).await?;
}
layer.freeze(lsn + 1).await;
if matches!(write_delta, WriteDelta::Yes) {
let l0_flush_state = L0FlushGlobalState::new(L0FlushConfig::Direct {
max_concurrency: NonZeroUsize::new(1).unwrap(),
});
let (_desc, path) = layer
.write_to_disk(&ctx, None, l0_flush_state.inner())
.await?
.unwrap();
tokio::fs::remove_file(path).await?;
}
Ok(())
}
/// Wrapper to instantiate a tokio runtime
fn ingest_main(
conf: &'static PageServerConf,
put_size: usize,
put_count: usize,
key_layout: KeyLayout,
write_delta: WriteDelta,
) {
let runtime = tokio::runtime::Builder::new_current_thread()
.enable_all()
.build()
.unwrap();
runtime.block_on(async move {
let r = ingest(conf, put_size, put_count, key_layout, write_delta).await;
if let Err(e) = r {
panic!("{e:?}");
}
});
}
/// Declare a series of benchmarks for the Pageserver's ingest write path.
///
/// This benchmark does not include WAL decode: it starts at InMemoryLayer::put_value, and ends either
/// at freezing the ephemeral layer, or writing the ephemeral layer out to an L0 (depending on whether WriteDelta is set).
///
/// Genuine disk I/O is used, so expect results to differ depending on storage. However, when running on
/// a fast disk, CPU is the bottleneck at time of writing.
fn criterion_benchmark(c: &mut Criterion) {
let temp_dir_parent: Utf8PathBuf = env::current_dir().unwrap().try_into().unwrap();
let temp_dir = camino_tempfile::tempdir_in(temp_dir_parent).unwrap();
eprintln!("Data directory: {}", temp_dir.path());
let conf: &'static PageServerConf = Box::leak(Box::new(
pageserver::config::PageServerConf::dummy_conf(temp_dir.path().to_path_buf()),
));
virtual_file::init(
16384,
virtual_file::io_engine_for_bench(),
pageserver_api::config::defaults::DEFAULT_IO_BUFFER_ALIGNMENT,
);
page_cache::init(conf.page_cache_size);
{
let mut group = c.benchmark_group("ingest-small-values");
let put_size = 100usize;
let put_count = 128 * 1024 * 1024 / put_size;
group.throughput(criterion::Throughput::Bytes((put_size * put_count) as u64));
group.sample_size(10);
group.bench_function("ingest 128MB/100b seq", |b| {
b.iter(|| {
ingest_main(
conf,
put_size,
put_count,
KeyLayout::Sequential,
WriteDelta::Yes,
)
})
});
group.bench_function("ingest 128MB/100b rand", |b| {
b.iter(|| {
ingest_main(
conf,
put_size,
put_count,
KeyLayout::Random,
WriteDelta::Yes,
)
})
});
group.bench_function("ingest 128MB/100b rand-1024keys", |b| {
b.iter(|| {
ingest_main(
conf,
put_size,
put_count,
KeyLayout::RandomReuse(0x3ff),
WriteDelta::Yes,
)
})
});
group.bench_function("ingest 128MB/100b seq, no delta", |b| {
b.iter(|| {
ingest_main(
conf,
put_size,
put_count,
KeyLayout::Sequential,
WriteDelta::No,
)
})
});
}
{
let mut group = c.benchmark_group("ingest-big-values");
let put_size = 8192usize;
let put_count = 128 * 1024 * 1024 / put_size;
group.throughput(criterion::Throughput::Bytes((put_size * put_count) as u64));
group.sample_size(10);
group.bench_function("ingest 128MB/8k seq", |b| {
b.iter(|| {
ingest_main(
conf,
put_size,
put_count,
KeyLayout::Sequential,
WriteDelta::Yes,
)
})
});
group.bench_function("ingest 128MB/8k seq, no delta", |b| {
b.iter(|| {
ingest_main(
conf,
put_size,
put_count,
KeyLayout::Sequential,
WriteDelta::No,
)
})
});
}
}
criterion_group!(benches, criterion_benchmark);
criterion_main!(benches);