risingwave_stream/executor/aggregation/agg_group.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 std::fmt::Debug;
use std::marker::PhantomData;
use std::sync::Arc;
use risingwave_common::array::stream_record::{Record, RecordType};
use risingwave_common::array::StreamChunk;
use risingwave_common::bitmap::Bitmap;
use risingwave_common::catalog::Schema;
use risingwave_common::must_match;
use risingwave_common::row::{OwnedRow, Row, RowExt};
use risingwave_common::util::iter_util::ZipEqFast;
use risingwave_common_estimate_size::EstimateSize;
use risingwave_expr::aggregate::{AggCall, BoxedAggregateFunction};
use risingwave_pb::stream_plan::PbAggNodeVersion;
use risingwave_storage::StateStore;
use super::agg_state::{AggState, AggStateStorage};
use crate::common::table::state_table::StateTable;
use crate::consistency::consistency_panic;
use crate::executor::error::StreamExecutorResult;
use crate::executor::PkIndices;
pub trait Strategy {
/// Infer the change type of the aggregation result. Don't need to take the ownership of
/// `prev_outputs` and `curr_outputs`.
fn infer_change_type(
prev_row_count: usize,
curr_row_count: usize,
prev_outputs: Option<&OwnedRow>,
curr_outputs: &OwnedRow,
) -> Option<RecordType>;
}
/// The strategy that always outputs the aggregation result no matter there're input rows or not.
pub struct AlwaysOutput;
/// The strategy that only outputs the aggregation result when there're input rows. If row count
/// drops to 0, the output row will be deleted.
pub struct OnlyOutputIfHasInput;
impl Strategy for AlwaysOutput {
fn infer_change_type(
prev_row_count: usize,
_curr_row_count: usize,
prev_outputs: Option<&OwnedRow>,
_curr_outputs: &OwnedRow,
) -> Option<RecordType> {
match prev_outputs {
None => {
// First time to build changes, assert to ensure correctness.
// Note that it's not true vice versa, i.e. `prev_row_count == 0` doesn't imply
// `prev_outputs == None`.
assert_eq!(prev_row_count, 0);
// Generate output no matter whether current row count is 0 or not.
Some(RecordType::Insert)
}
// NOTE(kwannoel): We always output, even if the update is a no-op.
// e.g. the following will still be emitted downstream:
// ```
// U- 1
// U+ 1
// ```
// This is to support `approx_percentile` via `row_merge`, which requires
// both the lhs and rhs to always output updates per epoch, or not all.
// Otherwise we are unable to construct a full row, if only one side updates,
// as the `row_merge` executor is stateless.
Some(_prev_outputs) => Some(RecordType::Update),
}
}
}
impl Strategy for OnlyOutputIfHasInput {
fn infer_change_type(
prev_row_count: usize,
curr_row_count: usize,
prev_outputs: Option<&OwnedRow>,
curr_outputs: &OwnedRow,
) -> Option<RecordType> {
match (prev_row_count, curr_row_count) {
(0, 0) => {
// No rows of current group exist.
None
}
(0, _) => {
// Insert new output row for this newly emerged group.
Some(RecordType::Insert)
}
(_, 0) => {
// Delete old output row for this newly disappeared group.
Some(RecordType::Delete)
}
(_, _) => {
// Update output row.
if prev_outputs.expect("must exist previous outputs") == curr_outputs {
// No output change.
None
} else {
Some(RecordType::Update)
}
}
}
}
}
/// [`GroupKey`] wraps a concrete group key and handle its mapping to state table pk.
#[derive(Clone, Debug)]
pub struct GroupKey {
row_prefix: OwnedRow,
table_pk_projection: Arc<[usize]>,
}
impl GroupKey {
pub fn new(row_prefix: OwnedRow, table_pk_projection: Option<Arc<[usize]>>) -> Self {
let table_pk_projection =
table_pk_projection.unwrap_or_else(|| (0..row_prefix.len()).collect());
Self {
row_prefix,
table_pk_projection,
}
}
pub fn len(&self) -> usize {
self.row_prefix.len()
}
pub fn is_empty(&self) -> bool {
self.row_prefix.is_empty()
}
/// Get the group key for state table row prefix.
pub fn table_row(&self) -> &OwnedRow {
&self.row_prefix
}
/// Get the group key for state table pk prefix.
pub fn table_pk(&self) -> impl Row + '_ {
(&self.row_prefix).project(&self.table_pk_projection)
}
/// Get the group key for LRU cache key prefix.
pub fn cache_key(&self) -> impl Row + '_ {
self.table_row()
}
}
/// [`AggGroup`] manages agg states of all agg calls for one `group_key`.
pub struct AggGroup<S: StateStore, Strtg: Strategy> {
/// Group key.
group_key: Option<GroupKey>,
/// Current managed states for all [`AggCall`]s.
states: Vec<AggState>,
/// Previous outputs of aggregate functions. Initializing with `None`.
prev_outputs: Option<OwnedRow>,
/// Index of row count agg call (`count(*)`) in the call list.
row_count_index: usize,
_phantom: PhantomData<(S, Strtg)>,
}
impl<S: StateStore, Strtg: Strategy> Debug for AggGroup<S, Strtg> {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
f.debug_struct("AggGroup")
.field("group_key", &self.group_key)
.field("prev_outputs", &self.prev_outputs)
.finish()
}
}
impl<S: StateStore, Strtg: Strategy> EstimateSize for AggGroup<S, Strtg> {
fn estimated_heap_size(&self) -> usize {
self.states
.iter()
.map(|state| state.estimated_heap_size())
.sum()
}
}
impl<S: StateStore, Strtg: Strategy> AggGroup<S, Strtg> {
/// Create [`AggGroup`] for the given [`AggCall`]s and `group_key`.
/// For [`crate::executor::SimpleAggExecutor`], the `group_key` should be `None`.
#[allow(clippy::too_many_arguments)]
pub async fn create(
version: PbAggNodeVersion,
group_key: Option<GroupKey>,
agg_calls: &[AggCall],
agg_funcs: &[BoxedAggregateFunction],
storages: &[AggStateStorage<S>],
intermediate_state_table: &StateTable<S>,
pk_indices: &PkIndices,
row_count_index: usize,
extreme_cache_size: usize,
input_schema: &Schema,
) -> StreamExecutorResult<Self> {
let encoded_states = intermediate_state_table
.get_row(group_key.as_ref().map(GroupKey::table_pk))
.await?;
if let Some(encoded_states) = &encoded_states {
assert_eq!(encoded_states.len(), agg_calls.len());
}
let mut states = Vec::with_capacity(agg_calls.len());
for (idx, (agg_call, agg_func)) in agg_calls.iter().zip_eq_fast(agg_funcs).enumerate() {
let state = AggState::create(
version,
agg_call,
agg_func,
&storages[idx],
encoded_states.as_ref().map(|outputs| &outputs[idx]),
pk_indices,
extreme_cache_size,
input_schema,
)?;
states.push(state);
}
let mut this = Self {
group_key,
states,
prev_outputs: None, // will be initialized later
row_count_index,
_phantom: PhantomData,
};
if encoded_states.is_some() {
let (_, outputs, _stats) = this.get_outputs(storages, agg_funcs).await?;
this.prev_outputs = Some(outputs);
}
Ok(this)
}
/// Create a group from encoded states for EOWC. The previous output is set to `None`.
#[allow(clippy::too_many_arguments)]
pub fn create_eowc(
version: PbAggNodeVersion,
group_key: Option<GroupKey>,
agg_calls: &[AggCall],
agg_funcs: &[BoxedAggregateFunction],
storages: &[AggStateStorage<S>],
encoded_states: &OwnedRow,
pk_indices: &PkIndices,
row_count_index: usize,
extreme_cache_size: usize,
input_schema: &Schema,
) -> StreamExecutorResult<Self> {
let mut states = Vec::with_capacity(agg_calls.len());
for (idx, (agg_call, agg_func)) in agg_calls.iter().zip_eq_fast(agg_funcs).enumerate() {
let state = AggState::create(
version,
agg_call,
agg_func,
&storages[idx],
Some(&encoded_states[idx]),
pk_indices,
extreme_cache_size,
input_schema,
)?;
states.push(state);
}
Ok(Self {
group_key,
states,
prev_outputs: None,
row_count_index,
_phantom: PhantomData,
})
}
pub fn group_key(&self) -> Option<&GroupKey> {
self.group_key.as_ref()
}
pub fn group_key_row(&self) -> OwnedRow {
self.group_key
.as_ref()
.map(GroupKey::table_row)
.cloned()
.unwrap_or_default()
}
fn prev_row_count(&self) -> usize {
match &self.prev_outputs {
Some(states) => states[self.row_count_index]
.as_ref()
.map(|x| {
TryInto::try_into(*x.as_int64()).expect("row count should be non-negative")
})
.unwrap_or(0),
None => 0,
}
}
/// Get current row count of this group.
fn curr_row_count(&self) -> usize {
let row_count_state = must_match!(
self.states[self.row_count_index],
AggState::Value(ref state) => state
);
let mut row_count = *row_count_state
.as_datum()
.as_ref()
.expect("row count state should not be NULL")
.as_int64();
if row_count < 0 {
consistency_panic!(group = ?self.group_key_row(), row_count, "row count should be non-negative");
// NOTE: Here is the case that an inconsistent `DELETE` arrives at HashAgg executor, and there's no
// corresponding group existing before (or has been deleted). In this case, `prev_row_count()` will
// report `0`. To ignore the inconsistent, we set `curr_row_count` to `0` here, so that `OnlyOutputIfHasInput`
// will return no change, so that the inconsistent will be hidden from downstream. This won't prevent from
// incorrect results of existing groups, but at least can prevent from downstream panicking due to non-existing
// keys. See https://github.com/risingwavelabs/risingwave/issues/14031 for more information.
row_count = 0;
}
row_count.try_into().unwrap()
}
pub(crate) fn is_uninitialized(&self) -> bool {
self.prev_outputs.is_none()
}
/// Apply input chunk to all managed agg states.
///
/// `mappings` contains the column mappings from input chunk to each agg call.
/// `visibilities` contains the row visibility of the input chunk for each agg call.
pub async fn apply_chunk(
&mut self,
chunk: &StreamChunk,
calls: &[AggCall],
funcs: &[BoxedAggregateFunction],
visibilities: Vec<Bitmap>,
) -> StreamExecutorResult<()> {
if self.curr_row_count() == 0 {
tracing::trace!(group = ?self.group_key_row(), "first time see this group");
}
for (((state, call), func), visibility) in (self.states.iter_mut())
.zip_eq_fast(calls)
.zip_eq_fast(funcs)
.zip_eq_fast(visibilities)
{
state.apply_chunk(chunk, call, func, visibility).await?;
}
if self.curr_row_count() == 0 {
tracing::trace!(group = ?self.group_key_row(), "last time see this group");
}
Ok(())
}
/// Reset all in-memory states to their initial state, i.e. to reset all agg state structs to
/// the status as if they are just created, no input applied and no row in state table.
fn reset(&mut self, funcs: &[BoxedAggregateFunction]) -> StreamExecutorResult<()> {
for (state, func) in self.states.iter_mut().zip_eq_fast(funcs) {
state.reset(func)?;
}
Ok(())
}
/// Encode intermediate states.
pub fn encode_states(
&self,
funcs: &[BoxedAggregateFunction],
) -> StreamExecutorResult<OwnedRow> {
let mut encoded_states = Vec::with_capacity(self.states.len());
for (state, func) in self.states.iter().zip_eq_fast(funcs) {
let encoded = match state {
AggState::Value(s) => func.encode_state(s)?,
// For minput state, we don't need to store it in state table.
AggState::MaterializedInput(_) => None,
};
encoded_states.push(encoded);
}
let states = self
.group_key()
.map(GroupKey::table_row)
.chain(OwnedRow::new(encoded_states))
.into_owned_row();
Ok(states)
}
/// Get the outputs of all managed agg states, without group key prefix.
/// Possibly need to read/sync from state table if the state not cached in memory.
/// This method is idempotent, i.e. it can be called multiple times and the outputs are
/// guaranteed to be the same.
async fn get_outputs(
&mut self,
storages: &[AggStateStorage<S>],
funcs: &[BoxedAggregateFunction],
) -> StreamExecutorResult<(usize, OwnedRow, AggStateCacheStats)> {
let row_count = self.curr_row_count();
if row_count == 0 {
// Reset all states (in fact only value states will be reset).
// This is important because for some agg calls (e.g. `sum`), if no row is applied,
// they should output NULL, for some other calls (e.g. `sum0`), they should output 0.
// FIXME(rc): Deciding whether to reset states according to `row_count` is not precisely
// correct, see https://github.com/risingwavelabs/risingwave/issues/7412 for bug description.
self.reset(funcs)?;
}
let mut stats = AggStateCacheStats::default();
futures::future::try_join_all(
self.states
.iter_mut()
.zip_eq_fast(storages)
.zip_eq_fast(funcs)
.map(|((state, storage), func)| {
state.get_output(storage, func, self.group_key.as_ref())
}),
)
.await
.map(|outputs_and_stats| {
outputs_and_stats
.into_iter()
.map(|(output, stat)| {
stats.merge(stat);
output
})
.collect::<Vec<_>>()
})
.map(|row| (row_count, OwnedRow::new(row), stats))
}
/// Build aggregation result change, according to previous and current agg outputs.
/// The saved previous outputs will be updated to the latest outputs after this method.
pub async fn build_change(
&mut self,
storages: &[AggStateStorage<S>],
funcs: &[BoxedAggregateFunction],
) -> StreamExecutorResult<(Option<Record<OwnedRow>>, AggStateCacheStats)> {
let prev_row_count = self.prev_row_count();
let (curr_row_count, curr_outputs, stats) = self.get_outputs(storages, funcs).await?;
let change_type = Strtg::infer_change_type(
prev_row_count,
curr_row_count,
self.prev_outputs.as_ref(),
&curr_outputs,
);
tracing::trace!(
group = ?self.group_key_row(),
prev_row_count,
curr_row_count,
change_type = ?change_type,
"build change"
);
let change = change_type.map(|change_type| match change_type {
RecordType::Insert => {
let new_row = self
.group_key()
.map(GroupKey::table_row)
.chain(&curr_outputs)
.into_owned_row();
self.prev_outputs = Some(curr_outputs);
Record::Insert { new_row }
}
RecordType::Delete => {
let prev_outputs = self.prev_outputs.take();
let old_row = self
.group_key()
.map(GroupKey::table_row)
.chain(prev_outputs)
.into_owned_row();
Record::Delete { old_row }
}
RecordType::Update => {
let new_row = self
.group_key()
.map(GroupKey::table_row)
.chain(&curr_outputs)
.into_owned_row();
let prev_outputs = self.prev_outputs.replace(curr_outputs);
let old_row = self
.group_key()
.map(GroupKey::table_row)
.chain(prev_outputs)
.into_owned_row();
Record::Update { old_row, new_row }
}
});
Ok((change, stats))
}
}
/// Stats for agg state cache operations.
#[derive(Debug, Default)]
pub struct AggStateCacheStats {
pub agg_state_cache_lookup_count: u64,
pub agg_state_cache_miss_count: u64,
}
impl AggStateCacheStats {
fn merge(&mut self, other: Self) {
self.agg_state_cache_lookup_count += other.agg_state_cache_lookup_count;
self.agg_state_cache_miss_count += other.agg_state_cache_miss_count;
}
}