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Add memory overhead test for the datastore
Part of #6066
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Cargo.lock

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crates/re_data_store/Cargo.toml

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@@ -51,9 +51,11 @@ web-time.workspace = true
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[dev-dependencies]
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re_types = { workspace = true, features = ["datagen", "testing"] }
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re_format.workspace = true
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anyhow.workspace = true
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criterion.workspace = true
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insta.workspace = true
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mimalloc.workspace = true
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rand.workspace = true
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similar-asserts.workspace = true
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//! Measures the memory overhead of the data store.
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use std::sync::atomic::{AtomicUsize, Ordering::Relaxed};
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thread_local! {
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static LIVE_BYTES_IN_THREAD: AtomicUsize = AtomicUsize::new(0);
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}
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pub struct TrackingAllocator {
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allocator: std::alloc::System,
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}
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#[global_allocator]
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pub static GLOBAL_ALLOCATOR: TrackingAllocator = TrackingAllocator {
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allocator: std::alloc::System,
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};
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#[allow(unsafe_code)]
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// SAFETY:
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// We just do book-keeping and then let another allocator do all the actual work.
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unsafe impl std::alloc::GlobalAlloc for TrackingAllocator {
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#[allow(clippy::let_and_return)]
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unsafe fn alloc(&self, layout: std::alloc::Layout) -> *mut u8 {
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LIVE_BYTES_IN_THREAD.with(|bytes| bytes.fetch_add(layout.size(), Relaxed));
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// SAFETY:
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// Just deferring
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unsafe { self.allocator.alloc(layout) }
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}
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unsafe fn dealloc(&self, ptr: *mut u8, layout: std::alloc::Layout) {
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LIVE_BYTES_IN_THREAD.with(|bytes| bytes.fetch_sub(layout.size(), Relaxed));
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// SAFETY:
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// Just deferring
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unsafe { self.allocator.dealloc(ptr, layout) };
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}
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}
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fn live_bytes() -> usize {
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LIVE_BYTES_IN_THREAD.with(|bytes| bytes.load(Relaxed))
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}
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/// Assumes all allocations are on the calling thread.
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///
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/// The reason we use thread-local counting is so that
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/// the counting won't be confused by any other running threads (e.g. other tests).
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fn memory_use<R>(run: impl Fn() -> R) -> usize {
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let used_bytes_start = live_bytes();
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let ret = run();
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let bytes_used = live_bytes() - used_bytes_start;
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drop(ret);
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bytes_used
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}
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// ----------------------------------------------------------------------------
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use re_data_store::{DataStore, DataStoreConfig};
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use re_log_types::{DataRow, RowId, TimePoint, TimeType, Timeline};
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use re_types::components::{InstanceKey, Scalar};
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use re_types_core::Loggable as _;
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/// The memory overhead of storing many scalars in the store.
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#[test]
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fn scalar_memory_overhead() {
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re_log::setup_logging();
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const NUM_SCALARS: usize = 1024 * 1024;
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let total_mem_use = memory_use(|| {
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let mut store = DataStore::new(
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re_log_types::StoreId::random(re_log_types::StoreKind::Recording),
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InstanceKey::name(),
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DataStoreConfig::default(),
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);
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for i in 0..NUM_SCALARS {
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let entity_path = re_log_types::entity_path!("scalar");
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let timepoint =
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TimePoint::default().with(Timeline::new("log_time", TimeType::Time), i as i64);
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let num_instances = 1;
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let row = DataRow::from_cells1_sized(
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RowId::new(),
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entity_path,
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timepoint,
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num_instances,
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vec![Scalar(i as f64)],
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)
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.unwrap();
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store.insert_row(&row).unwrap();
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}
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store
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});
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insta::assert_debug_snapshot!(
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"scalars_on_one_timeline",
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[
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format!("{NUM_SCALARS} scalars"),
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format!("{} in total", re_format::format_bytes(total_mem_use as _)),
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format!(
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"{} per row",
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re_format::format_bytes(total_mem_use as f64 / NUM_SCALARS as f64)
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),
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]
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);
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}
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---
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source: crates/re_data_store/tests/memory_test.rs
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assertion_line: 93
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expression: "[format!(\"{NUM_SCALARS} scalars\"),\n format!(\"{} in total\", re_format::format_bytes(total_mem_use as _)),\n format!(\"{} per row\",\n re_format::format_bytes(total_mem_use as f64 / NUM_SCALARS as\n f64))]"
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---
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[
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"1048576 scalars",
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"936 MiB in total",
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"936 B per row",
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]

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