Show e2e latency in metric ui in top panel

crates/re_data_store/Cargo.toml

@@ -37,9 +37,11 @@ re_types_core.workspace = true
 ahash.workspace = true
 document-features.workspace = true
 egui_plot.workspace = true
+emath.workspace = true
 getrandom.workspace = true
 itertools.workspace = true
 nohash-hasher.workspace = true
+parking_lot.workspace = true
 rmp-serde = { workspace = true, optional = true }
 serde = { workspace = true, features = ["derive", "rc"], optional = true }
 thiserror.workspace = true

crates/re_data_store/src/store_db.rs

@@ -2,6 +2,7 @@ use std::collections::BTreeMap;
 
 use itertools::Itertools;
 use nohash_hasher::IntMap;
+use parking_lot::Mutex;
 
 use re_arrow_store::{
     DataStore, DataStoreConfig, GarbageCollectionOptions, StoreEvent, StoreSubscriber,
@@ -108,6 +109,8 @@ pub struct StoreDb {
 
     /// Stores all components for all entities for all timelines.
     data_store: DataStore,
+
+    stats: IngestionStatistics,
 }
 
 impl StoreDb {
@@ -125,6 +128,7 @@ impl StoreDb {
                 InstanceKey::name(),
                 DataStoreConfig::default(),
             ),
+            stats: Default::default(),
         }
     }
 
@@ -224,6 +228,11 @@ impl StoreDb {
         self.entity_path_from_hash.values().sorted().collect()
     }
 
+    #[inline]
+    pub fn ingestion_stats(&self) -> &IngestionStatistics {
+        &self.stats
+    }
+
     #[inline]
     pub fn entity_path_from_hash(&self, entity_path_hash: &EntityPathHash) -> Option<&EntityPath> {
         self.entity_path_from_hash.get(entity_path_hash)
@@ -298,6 +307,8 @@ impl StoreDb {
             DEFAULT_INSERT_ROW_STEP_SIZE,
         )?;
 
+        let row_id = store_event.row_id;
+
         // First-pass: update our internal views by notifying them of resulting [`StoreEvent`]s.
         //
         // This might result in a [`ClearCascade`] if the events trigger one or more immediate
@@ -318,6 +329,8 @@ impl StoreDb {
         // cascades, thus this whole process must stabilize after one iteration.
         debug_assert!(clear_cascade.is_empty());
 
+        self.stats.on_new_row_id(row_id);
+
         Ok(())
     }
 
@@ -462,6 +475,7 @@ impl StoreDb {
             times_per_timeline,
             tree,
             data_store: _,
+            stats: _,
         } = self;
 
         times_per_timeline.on_events(store_events);
@@ -477,3 +491,57 @@ impl StoreDb {
             .map(|info| (info.application_id.0.as_str(), info.started))
     }
 }
+
+// ----------------------------------------------------------------------------
+
+pub struct IngestionStatistics {
+    e2e_latency_sec_history: Mutex<emath::History<f32>>,
+}
+
+impl Default for IngestionStatistics {
+    fn default() -> Self {
+        let min_samples = 0; // 0: we stop displaying e2e latency if input stops
+        let max_samples = 1024; // don't waste too much memory on this - we just need enough to get a good average
+        let max_age = 1.0; // don't keep too long of a rolling average, or the stats get outdated.
+        Self {
+            e2e_latency_sec_history: Mutex::new(emath::History::new(
+                min_samples..max_samples,
+                max_age,
+            )),
+        }
+    }
+}
+
+impl IngestionStatistics {
+    pub fn on_new_row_id(&mut self, row_id: RowId) {
+        if let Ok(duration_since_epoch) = web_time::SystemTime::UNIX_EPOCH.elapsed() {
+            let nanos_since_epoch = duration_since_epoch.as_nanos() as u64;
+
+            // This only makes sense if the clocks are very good, i.e. if the recording was on the same machine!
+            if let Some(nanos_since_log) =
+                nanos_since_epoch.checked_sub(row_id.nanoseconds_since_epoch())
+            {
+                let now = nanos_since_epoch as f64 / 1e9;
+                let sec_since_log = nanos_since_log as f32 / 1e9;
+
+                self.e2e_latency_sec_history.lock().add(now, sec_since_log);
+            }
+        }
+    }
+
+    /// What is the mean latency between the time data was logged in the SDK and the time it was ingested?
+    ///
+    /// This is based on the clocks of the viewer and the SDK being in sync,
+    /// so if the recording was done on another machine, this is likely very inaccurate.
+    pub fn current_e2e_latency_sec(&self) -> Option<f32> {
+        let mut e2e_latency_sec_history = self.e2e_latency_sec_history.lock();
+
+        if let Ok(duration_since_epoch) = web_time::SystemTime::UNIX_EPOCH.elapsed() {
+            let nanos_since_epoch = duration_since_epoch.as_nanos() as u64;
+            let now = nanos_since_epoch as f64 / 1e9;
+            e2e_latency_sec_history.flush(now); // make sure the average is up-to-date.
+        }
+
+        e2e_latency_sec_history.average()
+    }
+}

crates/re_log_types/src/data_row.rs

@@ -185,6 +185,12 @@ impl RowId {
     pub fn incremented_by(&self, n: u64) -> Self {
         Self(self.0.incremented_by(n))
     }
+
+    /// When the `RowId` was created, in nanoseconds since unix epoch.
+    #[inline]
+    pub fn nanoseconds_since_epoch(&self) -> u64 {
+        self.0.nanoseconds_since_epoch()
+    }
 }
 
 impl SizeBytes for RowId {

crates/re_sdk/src/recording_stream.rs

@@ -768,7 +768,9 @@ impl RecordingStream {
         timeless: bool,
         arch: &impl AsComponents,
     ) -> RecordingStreamResult<()> {
-        self.log_component_batches(
+        let row_id = RowId::new(); // Create row-id as early as possible. It has a timestamp and is used to estimate e2e latency.
+        self.log_component_batches_impl(
+            row_id,
             ent_path,
             timeless,
             arch.as_component_batches()
@@ -802,6 +804,17 @@ impl RecordingStream {
         ent_path: impl Into<EntityPath>,
         timeless: bool,
         comp_batches: impl IntoIterator<Item = &'a dyn ComponentBatch>,
+    ) -> RecordingStreamResult<()> {
+        let row_id = RowId::new(); // Create row-id as early as possible. It has a timestamp and is used to estimate e2e latency.
+        self.log_component_batches_impl(row_id, ent_path, timeless, comp_batches)
+    }
+
+    fn log_component_batches_impl<'a>(
+        &self,
+        row_id: RowId,
+        ent_path: impl Into<EntityPath>,
+        timeless: bool,
+        comp_batches: impl IntoIterator<Item = &'a dyn ComponentBatch>,
     ) -> RecordingStreamResult<()> {
         if !self.is_enabled() {
             return Ok(()); // silently drop the message
@@ -854,7 +867,7 @@ impl RecordingStream {
             None
         } else {
             Some(DataRow::from_cells(
-                RowId::new(),
+                row_id,
                 timepoint.clone(),
                 ent_path.clone(),
                 num_instances as _,
@@ -868,11 +881,7 @@ impl RecordingStream {
         } else {
             splatted.push(DataCell::from_native([InstanceKey::SPLAT]));
             Some(DataRow::from_cells(
-                RowId::new(),
-                timepoint,
-                ent_path,
-                1,
-                splatted,
+                row_id, timepoint, ent_path, 1, splatted,
             )?)
         };
 

crates/re_viewer/src/app.rs

@@ -206,6 +206,11 @@ impl App {
 
         let component_ui_registry = re_data_ui::create_component_ui_registry();
 
+        // TODO(emilk): `Instant::MIN` when we have our own `Instant` that supports it.;
+        let long_time_ago = web_time::Instant::now()
+            .checked_sub(web_time::Duration::from_secs(1_000_000_000))
+            .unwrap_or(web_time::Instant::now());
+
         Self {
             build_info,
             startup_options,
@@ -230,7 +235,7 @@ impl App {
 
             style_panel_open: false,
 
-            latest_queue_interest: web_time::Instant::now(), // TODO(emilk): `Instant::MIN` when we have our own `Instant` that supports it.
+            latest_queue_interest: long_time_ago,
 
             frame_time_history: egui::util::History::new(1..100, 0.5),
 

crates/re_viewer/src/ui/top_panel.rs

@@ -63,7 +63,8 @@ fn top_bar_ui(
         ui.separator();
         frame_time_label_ui(ui, app);
         memory_use_label_ui(ui, gpu_resource_stats);
-        input_latency_label_ui(ui, app);
+
+        latency_ui(ui, app, store_context);
     }
 
     ui.with_layout(egui::Layout::right_to_left(egui::Align::Center), |ui| {
@@ -352,7 +353,67 @@ fn memory_use_label_ui(ui: &mut egui::Ui, gpu_resource_stats: &WgpuResourcePoolS
     }
 }
 
-fn input_latency_label_ui(ui: &mut egui::Ui, app: &mut App) {
+fn latency_ui(ui: &mut egui::Ui, app: &mut App, store_context: Option<&StoreContext<'_>>) {
+    if let Some(response) = e2e_latency_ui(ui, store_context) {
+        // Show queue latency on hover, as that is part of this.
+        // For instance, if the framerate is really bad we have less time to ingest incoming data,
+        // leading to an ever-increasing input queue.
+        let rx = app.msg_receive_set();
+        let queue_len = rx.queue_len();
+        let latency_sec = rx.latency_ns() as f32 / 1e9;
+        // empty queue == unreliable latency
+        if 0 < queue_len {
+            response.on_hover_ui(|ui| {
+                ui.label(format!(
+                    "Queue latency: {}, length: {}",
+                    latency_text(latency_sec),
+                    format_number(queue_len),
+                ));
+
+                ui.label(
+                    "When more data is arriving over network than the Rerun Viewer can ingest, a queue starts building up, leading to latency and increased RAM use.\n\
+                         We call this the queue latency.");
+            });
+        }
+    } else {
+        // If we don't know the e2e latency we can still show the queue latency.
+        input_queue_latency_ui(ui, app);
+    }
+}
+
+/// Shows the e2e latency.
+fn e2e_latency_ui(
+    ui: &mut egui::Ui,
+    store_context: Option<&StoreContext<'_>>,
+) -> Option<egui::Response> {
+    let Some(store_context) = store_context else {
+        return None;
+    };
+
+    let Some(recording) = store_context.recording else {
+        return None;
+    };
+
+    let Some(e2e_latency_sec) = recording.ingestion_stats().current_e2e_latency_sec() else {
+        return None;
+    };
+
+    if e2e_latency_sec > 60.0 {
+        return None; // Probably an old recording and not live data.
+    }
+
+    let text = format!("e2e latency: {}", latency_text(e2e_latency_sec));
+
+    let hover_text = "End-to-end latency from when the data was logged by the SDK to when it is shown in the viewer.\n\
+                      This includes time for encoding, network latency, and decoding.\n\
+                      It is also affected by the framerate of the viewer.\n\
+                      This latency is inaccurate if the logging was done on a different machine, since it is clock-based.";
+
+    Some(ui.weak(text).on_hover_text(hover_text))
+}
+
+/// Shows the latency in the input queue.
+fn input_queue_latency_ui(ui: &mut egui::Ui, app: &mut App) {
     let rx = app.msg_receive_set();
 
     if rx.is_empty() {
@@ -374,12 +435,12 @@ fn input_latency_label_ui(ui: &mut egui::Ui, app: &mut App) {
         ui.separator();
         if is_latency_interesting {
             let text = format!(
-                "Latency: {:.2}s, queue: {}",
-                latency_sec,
+                "Queue latency: {}, length: {}",
+                latency_text(latency_sec),
                 format_number(queue_len),
             );
             let hover_text =
-                    "When more data is arriving over network than the Rerun Viewer can index, a queue starts building up, leading to latency and increased RAM use.\n\
+                    "When more data is arriving over network than the Rerun Viewer can ingest, a queue starts building up, leading to latency and increased RAM use.\n\
                     This latency does NOT include network latency.";
 
             if latency_sec < app.app_options().warn_latency {
@@ -394,3 +455,11 @@ fn input_latency_label_ui(ui: &mut egui::Ui, app: &mut App) {
         }
     }
 }
+
+fn latency_text(latency_sec: f32) -> String {
+    if latency_sec < 1.0 {
+        format!("{:.0}ms", 1e3 * latency_sec)
+    } else {
+        format!("{latency_sec:.1}s")
+    }
+}

crates/rerun_c/src/lib.rs

@@ -579,6 +579,8 @@ fn rr_log_impl(
     data_row: CDataRow,
     inject_time: bool,
 ) -> Result<(), CError> {
+    let row_id = re_sdk::log::RowId::new(); // Create row-id as early as possible. It has a timestamp and is used to estimate e2e latency.
+
     let stream = recording_stream(stream)?;
 
     let CDataRow {
@@ -649,7 +651,7 @@ fn rr_log_impl(
     }
 
     let data_row = DataRow::from_cells(
-        re_sdk::log::RowId::new(),
+        row_id,
         TimePoint::default(), // we use the one in the recording stream for now
         entity_path,
         num_instances,

rerun_py/src/arrow.rs

@@ -50,6 +50,8 @@ pub fn build_data_row_from_components(
     components: &PyDict,
     time_point: &TimePoint,
 ) -> PyResult<DataRow> {
+    let row_id = RowId::new(); // Create row-id as early as possible. It has a timestamp and is used to estimate e2e latency.
+
     let (arrays, fields): (Vec<Box<dyn Array>>, Vec<Field>) = itertools::process_results(
         components.iter().map(|(name, array)| {
             let name = name.downcast::<PyString>()?.to_str()?;
@@ -66,7 +68,7 @@ pub fn build_data_row_from_components(
 
     let num_instances = cells.first().map_or(0, |cell| cell.num_instances());
     let row = DataRow::from_cells(
-        RowId::new(),
+        row_id,
         time_point.clone(),
         entity_path.clone(),
         num_instances,