risingwave_stream/common/table/state_table_cache.rs
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// Copyright 2024 RisingWave Labs
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use risingwave_common::array::Op;
use risingwave_common::row::{OwnedRow, Row, RowExt};
use risingwave_common::types::{DefaultOrdered, ScalarRefImpl};
use risingwave_common_estimate_size::EstimateSize;
use crate::common::state_cache::{StateCache, TopNStateCache};
/// The watermark cache key is just an `OwnedRow` wrapped in `DefaultOrdered`.
/// This is because we want to use the `DefaultOrdered` implementation of `Ord`.
/// The assumption is that the watermark column is the first column in the row.
/// So it should automatically be ordered by the watermark column.
/// We disregard the ordering of the remaining PK datums.
///
/// TODO(kwannoel):
/// We can also store bytes from encoded pk.
/// The benefit is we deserialization of PK when refiling the cache.
type WatermarkCacheKey = DefaultOrdered<OwnedRow>;
/// Cache Invariants
/// -----------------
/// - If cache is synced, it will ALWAYS contain TopN entries. NOTE: TopN here refers to the lowest
/// N entries, where the first is the minimum and so on.
/// - Cache will not contain NULL values in the watermark column, they are ignored in watermark
/// state cleaning. They will not be included in the cache's table row count either, since they
/// are treated as invisible.
///
/// Updates to Cache
/// -----------------
/// INSERT
/// A. Cache evicted. Update cached value.
/// B. Cache uninitialized. Initialize cache, insert into `TopNCache`.
/// C. Cache not empty. Insert into `TopNCache`.
///
/// DELETE
/// A. Matches lowest value pk. Remove lowest value. Mark cache as Evicted.
/// Later on Barrier we will refresh the cache with table scan.
/// Since on barrier we will clean up all values before watermark,
/// We have less rows to scan.
/// B. Does not match. Do nothing.
///
/// UPDATE
/// Nothing. Watermark is part of pk. Pk won't change.
///
/// BARRIER
/// State table commit. See below.
///
/// STATE TABLE COMMIT
/// A. Decide whether to do state cleaning:
/// if `watermark_to_be_cleaned` < smallest val
/// OR no value in cache + cache is synced:
/// No need issue delete range.
/// if `watermark_to_be_cleaned` => smallest val OR cache not synced:
/// Issue delete ranges.
///
/// B. Refreshing the cache:
/// On barrier, do table scan from `most_recently_cleaned_watermark` (inclusive) to +inf.
/// Take the Top N rows and insert into cache.
/// This has to be implemented in `state_table`.
/// We do not need to store any values, just the keys.
///
/// TODO(kwannoel):
/// Optimization: If cache is not full,
/// we can also do point delete for each cache entry.
/// Not sure if this is more optimal,
/// we have to measure this scenario to see if it is indeed better.
#[derive(EstimateSize, Clone)]
pub struct StateTableWatermarkCache {
inner: TopNStateCache<WatermarkCacheKey, ()>,
}
impl StateTableWatermarkCache {
pub fn new(size: usize) -> Self {
Self {
inner: TopNStateCache::new(size),
}
}
/// NOTE(kwannoel): Unused. Requires row count from State Table.
/// On first initialization, we can use `row_count` 0.
/// But if state table is reconstructed after recovery, we need to obtain row count meta-data.
#[allow(dead_code)]
fn new_with_row_count(size: usize, row_count: usize) -> Self {
Self {
inner: TopNStateCache::with_table_row_count(size, row_count),
}
}
/// Get the lowest key.
fn first_key(&self) -> Option<&WatermarkCacheKey> {
self.inner.first_key_value().map(|(k, _)| k)
}
// Get the watermark value from the top key.
pub fn lowest_key(&self) -> Option<ScalarRefImpl<'_>> {
self.first_key().and_then(|k| k.0.datum_at(0))
}
/// Insert a new value.
pub fn insert(&mut self, key: &impl Row) {
if !key.is_null_at(0) {
self.inner.insert(DefaultOrdered(key.into_owned_row()), ());
}
}
/// Delete a value
/// If the watermark col is NULL, it will just be ignored.
pub fn delete(&mut self, key: &impl Row) {
if !key.is_null_at(0) {
self.inner.delete(&DefaultOrdered(key.into_owned_row()));
}
}
pub fn capacity(&self) -> usize {
self.inner.capacity()
}
pub fn len(&self) -> usize {
self.inner.len()
}
pub fn set_table_row_count(&mut self, table_row_count: usize) {
self.inner.set_table_row_count(table_row_count)
}
#[cfg(test)]
pub fn get_table_row_count(&self) -> &Option<usize> {
self.inner.get_table_row_count()
}
}
impl StateCache for StateTableWatermarkCache {
type Filler<'a> = &'a mut TopNStateCache<WatermarkCacheKey, ()>;
type Key = WatermarkCacheKey;
type Value = ();
fn is_synced(&self) -> bool {
self.inner.is_synced()
}
fn begin_syncing(&mut self) -> Self::Filler<'_> {
self.inner.begin_syncing()
}
fn insert(&mut self, key: Self::Key, value: Self::Value) -> Option<Self::Value> {
self.inner.insert(key, value)
}
fn delete(&mut self, key: &Self::Key) -> Option<Self::Value> {
self.inner.delete(key)
}
fn apply_batch(&mut self, batch: impl IntoIterator<Item = (Op, Self::Key, Self::Value)>) {
self.inner.apply_batch(batch)
}
fn clear(&mut self) {
self.inner.clear()
}
fn values(&self) -> impl Iterator<Item = &Self::Value> {
self.inner.values()
}
fn first_key_value(&self) -> Option<(&Self::Key, &Self::Value)> {
self.inner.first_key_value()
}
}
#[cfg(test)]
mod tests {
use risingwave_common::types::{Scalar, Timestamptz};
use super::*;
use crate::common::state_cache::StateCacheFiller;
/// With capacity 3, test the following sequence of inserts:
/// Insert
/// [SYNC] an empty table first.
/// [1000] should insert, cache is empty.
/// [999] should insert, smaller than 1000, should be lowest value.
/// [2000] should NOT insert.
/// It is larger than 1000, and we don't know the state table size,
/// for instance if state table just recovered, and does not have row count meta data.
/// This means there could be a row like [1001] in the state table.
/// [900, ...], should insert.
/// [800], should insert, smaller than 900, should be lowest value.
#[test]
fn test_state_table_watermark_cache_inserts() {
let v1 = [
Some(Timestamptz::from_secs(1000).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
let v2 = [
Some(Timestamptz::from_secs(999).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
let v3 = [
Some(Timestamptz::from_secs(2000).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
let v4 = [
Some(Timestamptz::from_secs(900).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
let v5 = [
Some(Timestamptz::from_secs(800).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
let mut cache = StateTableWatermarkCache::new(3);
assert_eq!(cache.capacity(), 3);
let filler = cache.begin_syncing();
filler.finish();
// Test 1000
cache.insert(&v1);
assert_eq!(cache.len(), 1);
assert_eq!(
cache.lowest_key(),
Some(v1[0].as_ref().unwrap().as_scalar_ref_impl())
);
// Test 999
cache.insert(&v2);
assert_eq!(cache.len(), 2);
assert_eq!(
cache.lowest_key(),
Some(v2[0].as_ref().unwrap().as_scalar_ref_impl())
);
// Test 2000
cache.insert(&v3);
assert_eq!(cache.len(), 2);
assert_eq!(
cache.lowest_key(),
Some(v2[0].as_ref().unwrap().as_scalar_ref_impl())
);
// Test 900
cache.insert(&v4);
assert_eq!(cache.len(), 3);
assert_eq!(
cache.lowest_key(),
Some(v4[0].as_ref().unwrap().as_scalar_ref_impl())
);
// Test 800
cache.insert(&v5);
assert_eq!(cache.len(), 3);
assert_eq!(
cache.lowest_key(),
Some(v5[0].as_ref().unwrap().as_scalar_ref_impl())
);
}
#[test]
fn test_state_table_watermark_cache_delete_non_existent_value() {
let mut cache = StateTableWatermarkCache::new(3);
assert_eq!(cache.capacity(), 3);
let filler = cache.begin_syncing();
filler.finish();
let v1 = [
Some(Timestamptz::from_secs(1000).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
cache.delete(&v1);
}
/// With capacity 3, test the following sequence of inserts:
/// Insert
/// [1000, ...], should insert, cache is empty.
/// [999, ...], should insert, smaller than 1000, should be lowest value.
/// [2000, ...], should insert, although larger than largest val (1000), cache rows still match
/// state table rows. [3000, ...], should be ignored
/// [900, ...], should evict 2000
#[test]
fn test_state_table_watermark_cache_with_row_count_inserts() {
let mut cache = StateTableWatermarkCache::new_with_row_count(3, 0);
assert_eq!(cache.capacity(), 3);
let filler = cache.begin_syncing();
filler.finish();
assert!(cache.first_key_value().is_none());
assert!(cache.lowest_key().is_none());
let v1 = [
Some(Timestamptz::from_secs(1000).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1000).unwrap().to_scalar_value()),
];
cache.insert(&v1);
let lowest = cache.lowest_key().unwrap();
assert_eq!(lowest, v1[0].clone().unwrap().as_scalar_ref_impl());
let v2 = [
Some(Timestamptz::from_secs(999).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
cache.insert(&v2);
assert_eq!(cache.len(), 2);
let lowest = cache.lowest_key().unwrap();
assert_eq!(lowest, v2[0].clone().unwrap().as_scalar_ref_impl());
let v3 = [
Some(Timestamptz::from_secs(2000).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
cache.insert(&v3);
assert_eq!(cache.len(), 3);
let v4 = [
Some(Timestamptz::from_secs(3000).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
cache.insert(&v4);
assert_eq!(cache.len(), 3);
let v5 = [
Some(Timestamptz::from_secs(900).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
cache.insert(&v5);
assert_eq!(cache.len(), 3);
let lowest = cache.lowest_key().unwrap();
assert_eq!(lowest, v5[0].clone().unwrap().as_scalar_ref_impl());
}
/// With capacity 3, seed the following sequence of inserts:
/// Insert:
/// [1000, ...]
/// [999, ...]
/// [2000, ...]
/// [3000, ...]
/// [900, ...]
///
/// In the cache there should be:
/// [900, 999, 1000]
/// Then run one DELETE.
/// [999].
///
/// The cache should be:
/// [900, 1000].
/// Lowest val: 900.
///
/// Then run one INSERT.
/// [1001].
/// This should be ignored. It is larger than the largest val in the cache (1000).
/// And cache no longer matches state table rows.
///
/// Then run another INSERT.
/// [950].
/// This should be accepted. It is smaller than the largest val in the cache (1000).
///
/// Then run DELETE.
/// [900].
/// Lowest val: 1000.
///
/// Then run DELETE.
/// [1000].
/// Lowest val: None.
///
/// Then run INSERT.
/// Cache should be out of sync, should reject the insert.
/// Cache len = 0.
#[test]
fn test_state_table_watermark_cache_with_row_count_deletes() {
// Initial INSERT
let mut cache = StateTableWatermarkCache::new_with_row_count(3, 0);
assert_eq!(cache.capacity(), 3);
let filler = cache.begin_syncing();
filler.finish();
let v1 = [
Some(Timestamptz::from_secs(1000).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
let v2 = [
Some(Timestamptz::from_secs(999).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
let v3 = [
Some(Timestamptz::from_secs(2000).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
let v4 = [
Some(Timestamptz::from_secs(3000).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
let v5 = [
Some(Timestamptz::from_secs(900).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
cache.insert(&v1);
cache.insert(&v2);
cache.insert(&v3);
cache.insert(&v4);
cache.insert(&v5);
// First Delete
cache.delete(&v2);
assert_eq!(cache.len(), 2);
let lowest = cache.lowest_key().unwrap();
assert_eq!(lowest, v5[0].clone().unwrap().as_scalar_ref_impl());
// Insert 1001
let v6 = [
Some(Timestamptz::from_secs(1001).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
cache.insert(&v6);
assert_eq!(cache.len(), 2);
// Insert 950
let v7 = [
Some(Timestamptz::from_secs(950).unwrap().to_scalar_value()),
Some(Timestamptz::from_secs(1234).unwrap().to_scalar_value()),
];
cache.insert(&v7);
assert_eq!(cache.len(), 3);
// Delete 950
cache.delete(&v7);
assert_eq!(cache.len(), 2);
// DELETE
cache.delete(&v5);
assert_eq!(cache.len(), 1);
assert_eq!(
cache.lowest_key().unwrap(),
v1[0].clone().unwrap().as_scalar_ref_impl()
);
// DELETE
cache.delete(&v1);
assert_eq!(cache.len(), 0);
assert!(!cache.is_synced());
// INSERT after Out of sync
cache.insert(&v1);
assert_eq!(cache.len(), 0);
}
#[test]
fn test_watermark_cache_syncing() {
let v1 = [
Some(Timestamptz::from_secs(1000).unwrap().to_scalar_value()),
Some(1000i64.into()),
];
let v2 = [
Some(Timestamptz::from_secs(3000).unwrap().to_scalar_value()),
Some(1000i64.into()),
];
let v3 = [
Some(Timestamptz::from_secs(2000).unwrap().to_scalar_value()),
Some(1000i64.into()),
];
let mut cache = StateTableWatermarkCache::new(3);
let mut filler = cache.begin_syncing();
filler.insert_unchecked(DefaultOrdered(v1.to_owned_row()), ());
filler.insert_unchecked(DefaultOrdered(v2.to_owned_row()), ());
filler.insert_unchecked(DefaultOrdered(v3.to_owned_row()), ());
filler.finish();
assert_eq!(cache.len(), 3);
assert_eq!(
cache.lowest_key().unwrap(),
v1[0].clone().unwrap().as_scalar_ref_impl()
);
}
}