Datastore revamp 1: new indexing model & core datastructures

Cargo.toml

@@ -80,8 +80,10 @@ polars-core = "0.27.1"
 polars-lazy = "0.27.1"
 polars-ops = "0.27.1"
 puffin = "0.14"
+smallvec = { version = "1.0", features = ["const_generics", "union"] }
 thiserror = "1.0"
 time = { version = "0.3", features = ["wasm-bindgen"] }
+tinyvec = { version = "1.6", features = ["alloc", "rustc_1_55"] }
 tokio = "1.24"
 wgpu = { version = "0.15.1", default-features = false }
 wgpu-core = { version = "0.15.1", default-features = false }

crates/re_arrow_store/Cargo.toml

@@ -38,16 +38,17 @@ re_log.workspace = true
 
 # External dependencies:
 ahash.workspace = true
-anyhow.workspace = true
 arrow2 = { workspace = true, features = [
   "compute_concatenate",
   "compute_aggregate",
 ] }
+arrow2_convert.workspace = true
 document-features = "0.2"
 indent = "0.1"
 itertools = { workspace = true }
 nohash-hasher = "0.2"
 parking_lot.workspace = true
+smallvec.workspace = true
 static_assertions = "1.1"
 thiserror.workspace = true
 
@@ -73,6 +74,7 @@ polars-ops = { workspace = true, optional = true, features = [
 
 
 [dev-dependencies]
+anyhow.workspace = true
 criterion = "0.4"
 mimalloc.workspace = true
 polars-core = { workspace = true, features = [
@@ -85,9 +87,7 @@ polars-core = { workspace = true, features = [
   "sort_multiple",
 ] }
 rand = "0.8"
-smallvec = { version = "1.0", features = ["const_generics", "union"] }
-tinyvec = { version = "1.6", features = ["alloc", "rustc_1_55"] }
-
+tinyvec.workspace = true
 
 [lib]
 bench = false

crates/re_arrow_store/benches/data_store.rs

@@ -1,14 +1,15 @@
 #[global_allocator]
 static GLOBAL: mimalloc::MiMalloc = mimalloc::MiMalloc;
 
-use arrow2::array::{Array, UnionArray};
+use arrow2::array::UnionArray;
 use criterion::{criterion_group, criterion_main, Criterion};
 
 use re_arrow_store::{DataStore, DataStoreConfig, LatestAtQuery, RangeQuery, TimeInt, TimeRange};
 use re_log_types::{
     component_types::{InstanceKey, Rect2D},
     datagen::{build_frame_nr, build_some_instances, build_some_rects},
-    Component as _, ComponentName, DataRow, DataTable, EntityPath, MsgId, TimeType, Timeline,
+    Component as _, ComponentName, DataCell, DataRow, DataTable, EntityPath, MsgId, TimeType,
+    Timeline,
 };
 
 criterion_group!(benches, insert, latest_at, latest_at_missing, range);
@@ -73,10 +74,7 @@ fn insert(c: &mut Criterion) {
                 b.iter(|| {
                     insert_table(
                         DataStoreConfig {
-                            index_bucket_nb_rows: num_rows_per_bucket,
-                            component_bucket_nb_rows: num_rows_per_bucket,
-                            index_bucket_size_bytes: u64::MAX,
-                            component_bucket_size_bytes: u64::MAX,
+                            indexed_bucket_num_rows: num_rows_per_bucket,
                             ..Default::default()
                         },
                         InstanceKey::name(),
@@ -101,10 +99,11 @@ fn latest_at(c: &mut Criterion) {
         group.bench_function("default", |b| {
             let store = insert_table(Default::default(), InstanceKey::name(), &table);
             b.iter(|| {
-                let results = latest_data_at(&store, Rect2D::name(), &[Rect2D::name()]);
-                let rects = results[0]
+                let cells = latest_data_at(&store, Rect2D::name(), &[Rect2D::name()]);
+                let rects = cells[0]
                     .as_ref()
                     .unwrap()
+                    .as_arrow_ref()
                     .as_any()
                     .downcast_ref::<UnionArray>()
                     .unwrap();
@@ -116,21 +115,19 @@ fn latest_at(c: &mut Criterion) {
         for &num_rows_per_bucket in num_rows_per_bucket() {
             let store = insert_table(
                 DataStoreConfig {
-                    index_bucket_nb_rows: num_rows_per_bucket,
-                    component_bucket_nb_rows: num_rows_per_bucket,
-                    index_bucket_size_bytes: u64::MAX,
-                    component_bucket_size_bytes: u64::MAX,
+                    indexed_bucket_num_rows: num_rows_per_bucket,
                     ..Default::default()
                 },
                 InstanceKey::name(),
                 &table,
             );
             group.bench_function(format!("bucketsz={num_rows_per_bucket}"), |b| {
                 b.iter(|| {
-                    let results = latest_data_at(&store, Rect2D::name(), &[Rect2D::name()]);
-                    let rects = results[0]
+                    let cells = latest_data_at(&store, Rect2D::name(), &[Rect2D::name()]);
+                    let rects = cells[0]
                         .as_ref()
                         .unwrap()
+                        .as_arrow_ref()
                         .as_any()
                         .downcast_ref::<UnionArray>()
                         .unwrap();
@@ -180,10 +177,7 @@ fn latest_at_missing(c: &mut Criterion) {
         for &num_rows_per_bucket in num_rows_per_bucket() {
             let store = insert_table(
                 DataStoreConfig {
-                    index_bucket_nb_rows: num_rows_per_bucket,
-                    component_bucket_nb_rows: num_rows_per_bucket,
-                    index_bucket_size_bytes: u64::MAX,
-                    component_bucket_size_bytes: u64::MAX,
+                    indexed_bucket_num_rows: num_rows_per_bucket,
                     ..Default::default()
                 },
                 InstanceKey::name(),
@@ -236,25 +230,23 @@ fn range(c: &mut Criterion) {
         for &num_rows_per_bucket in num_rows_per_bucket() {
             let store = insert_table(
                 DataStoreConfig {
-                    index_bucket_nb_rows: num_rows_per_bucket,
-                    component_bucket_nb_rows: num_rows_per_bucket,
-                    index_bucket_size_bytes: u64::MAX,
-                    component_bucket_size_bytes: u64::MAX,
+                    indexed_bucket_num_rows: num_rows_per_bucket,
                     ..Default::default()
                 },
                 InstanceKey::name(),
                 &table,
             );
             group.bench_function(format!("bucketsz={num_rows_per_bucket}"), |b| {
                 b.iter(|| {
-                    let msgs = range_data(&store, [Rect2D::name()]);
-                    for (cur_time, (time, results)) in msgs.enumerate() {
+                    let rows = range_data(&store, [Rect2D::name()]);
+                    for (cur_time, (time, cells)) in rows.enumerate() {
                         let time = time.unwrap();
                         assert_eq!(cur_time as i64, time.as_i64());
 
-                        let rects = results[0]
+                        let rects = cells[0]
                             .as_ref()
                             .unwrap()
+                            .as_arrow_ref()
                             .as_any()
                             .downcast_ref::<UnionArray>()
                             .unwrap();
@@ -305,26 +297,25 @@ fn latest_data_at<const N: usize>(
     store: &DataStore,
     primary: ComponentName,
     secondaries: &[ComponentName; N],
-) -> [Option<Box<dyn Array>>; N] {
+) -> [Option<DataCell>; N] {
     let timeline_frame_nr = Timeline::new("frame_nr", TimeType::Sequence);
     let timeline_query = LatestAtQuery::new(timeline_frame_nr, (NUM_ROWS / 2).into());
     let ent_path = EntityPath::from("rects");
 
-    let row_indices = store
+    store
         .latest_at(&timeline_query, &ent_path, primary, secondaries)
-        .unwrap_or_else(|| [(); N].map(|_| None));
-    store.get(secondaries, &row_indices)
+        .unwrap_or_else(|| [(); N].map(|_| None))
 }
 
 fn range_data<const N: usize>(
     store: &DataStore,
     components: [ComponentName; N],
-) -> impl Iterator<Item = (Option<TimeInt>, [Option<Box<dyn Array>>; N])> + '_ {
+) -> impl Iterator<Item = (Option<TimeInt>, [Option<DataCell>; N])> + '_ {
     let timeline_frame_nr = Timeline::new("frame_nr", TimeType::Sequence);
     let query = RangeQuery::new(timeline_frame_nr, TimeRange::new(0.into(), NUM_ROWS.into()));
     let ent_path = EntityPath::from("rects");
 
     store
         .range(&query, &ent_path, components)
-        .map(move |(time, _, row_indices)| (time, store.get(&components, &row_indices)))
+        .map(move |(time, _, cells)| (time, cells))
 }

crates/re_arrow_store/src/lib.rs

@@ -33,17 +33,14 @@ pub mod polars_util;
 pub mod test_util;
 
 pub use self::arrow_util::ArrayExt;
-pub use self::store::{
-    DataStore, DataStoreConfig, IndexBucket, IndexRowNr, IndexTable, RowIndex, RowIndexKind,
-};
+pub use self::store::{DataStore, DataStoreConfig};
 pub use self::store_gc::GarbageCollectionTarget;
 pub use self::store_read::{LatestAtQuery, RangeQuery};
 pub use self::store_stats::DataStoreStats;
 pub use self::store_write::{WriteError, WriteResult};
 
 pub(crate) use self::store::{
-    ComponentBucket, ComponentTable, IndexBucketIndices, PersistentComponentTable,
-    PersistentIndexTable, SecondaryIndex, TimeIndex,
+    IndexedBucket, IndexedBucketInner, IndexedTable, PersistentIndexedTable,
 };
 
 // Re-exports

crates/re_arrow_store/src/polars_util.rs

@@ -1,8 +1,7 @@
-use arrow2::array::Array;
 use itertools::Itertools;
 use polars_core::{prelude::*, series::Series};
 use polars_ops::prelude::*;
-use re_log_types::{ComponentName, EntityPath, TimeInt};
+use re_log_types::{ComponentName, DataCell, EntityPath, TimeInt};
 
 use crate::{ArrayExt, DataStore, LatestAtQuery, RangeQuery};
 
@@ -38,12 +37,11 @@ pub fn latest_component(
     let cluster_key = store.cluster_key();
 
     let components = &[cluster_key, primary];
-    let row_indices = store
+    let cells = store
         .latest_at(query, ent_path, primary, components)
-        .unwrap_or([None; 2]);
-    let results = store.get(components, &row_indices);
+        .unwrap_or([(); 2].map(|_| None));
 
-    dataframe_from_results(components, results)
+    dataframe_from_cells(&cells)
 }
 
 /// Queries any number of components and their cluster keys from their respective point-of-views,
@@ -161,12 +159,11 @@ pub fn range_components<'a, const N: usize>(
         .chain(
             store
                 .range(query, ent_path, components)
-                .map(move |(time, _, row_indices)| {
-                    let results = store.get(&components, &row_indices);
+                .map(move |(time, _, cells)| {
                     (
                         time,
-                        row_indices[primary_col].is_some(), // is_primary
-                        dataframe_from_results(&components, results),
+                        cells[primary_col].is_some(), // is_primary
+                        dataframe_from_cells(&cells),
                     )
                 }),
         )
@@ -200,16 +197,19 @@ pub fn range_components<'a, const N: usize>(
 
 // --- Joins ---
 
-pub fn dataframe_from_results<const N: usize>(
-    components: &[ComponentName; N],
-    results: [Option<Box<dyn Array>>; N],
+// TODO(#1619): none of this mess should be here
+
+pub fn dataframe_from_cells<const N: usize>(
+    cells: &[Option<DataCell>; N],
 ) -> SharedResult<DataFrame> {
-    let series: Result<Vec<_>, _> = components
+    let series: Result<Vec<_>, _> = cells
         .iter()
-        .zip(results)
-        .filter_map(|(component, col)| col.map(|col| (component, col)))
-        .map(|(&component, col)| {
-            Series::try_from((component.as_str(), col.as_ref().clean_for_polars()))
+        .flatten()
+        .map(|cell| {
+            Series::try_from((
+                cell.component_name().as_str(),
+                cell.as_arrow_ref().clean_for_polars(),
+            ))
         })
         .collect();