Files
greptimedb/src/flow/src/utils.rs
2024-05-27 14:27:21 +08:00

872 lines
33 KiB
Rust

// Copyright 2023 Greptime Team
//
// 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.
//! utilities for managing state of dataflow execution
use std::collections::{BTreeMap, BTreeSet};
use std::ops::Bound;
use std::sync::Arc;
use itertools::Itertools;
use serde::{Deserialize, Serialize};
use smallvec::{smallvec, SmallVec};
use tokio::sync::{Mutex, RwLock};
use crate::expr::error::InternalSnafu;
use crate::expr::{EvalError, ScalarExpr};
use crate::repr::{value_to_internal_ts, Diff, DiffRow, Duration, KeyValDiffRow, Row, Timestamp};
/// A batch of updates, arranged by key
pub type Batch = BTreeMap<Row, SmallVec<[DiffRow; 2]>>;
/// A spine of batches, arranged by timestamp
/// TODO(discord9): consider internally index by key, value, and timestamp for faster lookup
pub type Spine = BTreeMap<Timestamp, Batch>;
/// Determine when should a key expire according to it's event timestamp in key.
///
/// If a key is expired, any future updates to it should be ignored.
///
/// Note that key is expired by it's event timestamp (contained in the key), not by the time it's inserted (system timestamp).
#[derive(Debug, Clone, Eq, PartialEq, Ord, PartialOrd, Deserialize, Serialize)]
pub struct KeyExpiryManager {
/// A map from event timestamp to key, used for expire keys.
event_ts_to_key: BTreeMap<Timestamp, BTreeSet<Row>>,
/// Duration after which a key is considered expired, and will be removed from state
key_expiration_duration: Option<Duration>,
/// Expression to get timestamp from key row
event_timestamp_from_row: Option<ScalarExpr>,
}
impl KeyExpiryManager {
pub fn new(
key_expiration_duration: Option<Duration>,
event_timestamp_from_row: Option<ScalarExpr>,
) -> Self {
Self {
event_ts_to_key: Default::default(),
key_expiration_duration,
event_timestamp_from_row,
}
}
/// Extract event timestamp from key row.
///
/// If no expire state is set, return None.
pub fn extract_event_ts(&self, row: &Row) -> Result<Option<Timestamp>, EvalError> {
let ts = self
.event_timestamp_from_row
.as_ref()
.map(|e| e.eval(&row.inner))
.transpose()?
.map(value_to_internal_ts)
.transpose()?;
Ok(ts)
}
/// Return timestamp that should be expired by the time `now` by compute `now - expiration_duration`
pub fn compute_expiration_timestamp(&self, now: Timestamp) -> Option<Timestamp> {
self.key_expiration_duration.map(|d| now - d)
}
/// Update the event timestamp to key mapping.
///
/// - If given key is expired by now (that is less than `now - expiry_duration`), return the amount of time it's expired.
/// - If it's not expired, return None
pub fn update_event_ts(
&mut self,
now: Timestamp,
row: &Row,
) -> Result<Option<Duration>, EvalError> {
let Some(event_ts) = self.extract_event_ts(row)? else {
return Ok(None);
};
if let Some(expire_time) = self.compute_expiration_timestamp(now) {
if expire_time > event_ts {
// return how much time it's expired
return Ok(Some(expire_time - event_ts));
}
}
self.event_ts_to_key
.entry(event_ts)
.or_default()
.insert(row.clone());
Ok(None)
}
/// Remove expired keys from the state, and return an iterator of removed keys with
/// event_ts less than expire time (i.e. now - key_expiration_duration).
pub fn remove_expired_keys(&mut self, now: Timestamp) -> Option<impl Iterator<Item = Row>> {
let expire_time = self.compute_expiration_timestamp(now)?;
let mut before = self.event_ts_to_key.split_off(&expire_time);
std::mem::swap(&mut before, &mut self.event_ts_to_key);
Some(before.into_iter().flat_map(|(_ts, keys)| keys.into_iter()))
}
}
/// A shared state of key-value pair for various state in dataflow execution.
///
/// i.e: Mfp operator with temporal filter need to store it's future output so that it can add now, and delete later.
/// To get all needed updates in a time span, use [`get_updates_in_range`].
///
/// And reduce operator need full state of it's output, so that it can query (and modify by calling [`apply_updates`])
/// existing state, also need a way to expire keys. To get a key's current value, use [`get`] with time being `now`
/// so it's like:
/// `mfp operator -> arrange(store futures only, no expire) -> reduce operator <-> arrange(full, with key expiring time) -> output`
///
/// Note the two way arrow between reduce operator and arrange, it's because reduce operator need to query existing state
/// and also need to update existing state.
#[derive(Debug, Clone, Default, Eq, PartialEq, Ord, PartialOrd, Deserialize, Serialize)]
pub struct Arrangement {
/// A name or identifier for the arrangement which can be used for debugging or logging purposes.
/// This field is not critical to the functionality but aids in monitoring and management of arrangements.
name: Vec<String>,
/// Manages a collection of pending updates in a `BTreeMap` where each key is a timestamp and each value is a `Batch` of updates.
/// Updates are grouped into batched based on their timestamps.
/// Each batch covers a range of time from the last key (exclusive) to the current key (inclusive).
///
/// - Updates with a timestamp (`update_ts`) that falls between two keys are placed in the batch of the higher key.
/// For example, if the keys are `1, 5, 7, 9` and `update_ts` is `6`, the update goes into the batch with key `7`.
/// - Updates with a timestamp before the first key are categorized under the first key.
/// - Updates with a timestamp greater than the highest key result in a new batch being created with that timestamp as the key.
///
/// The first key represents the current state and includes consolidated updates from the past. It is always set to `now`.
/// Each key should have only one update per batch with a `diff=1` for the batch representing the current time (`now`).
///
/// Since updates typically occur as a delete followed by an insert, a small vector of size 2 is used to store updates for efficiency.
///
/// TODO: Consider balancing the batch size?
spine: Spine,
/// Indicates whether the arrangement maintains a complete history of updates.
/// - `true`: Maintains all past and future updates, necessary for full state reconstruction at any point in time.
/// - `false`: Only future updates are retained, optimizing for scenarios where past state is irrelevant and conserving resources.
/// Useful for case like `map -> arrange -> reduce`.
full_arrangement: bool,
/// Indicates whether the arrangement has been modified since its creation.
/// - `true`: The arrangement has been written to, meaning it has received updates.
/// Cloning this arrangement is generally unsafe as it may lead to inconsistencies if the clone is modified independently.
/// However, cloning is safe when both the original and the clone require a full arrangement, as this ensures consistency.
/// - `false`: The arrangement is in its initial state and has not been modified. It can be safely cloned and shared
/// without concerns of carrying over unintended state changes.
is_written: bool,
/// Manage the expire state of the arrangement.
expire_state: Option<KeyExpiryManager>,
/// The time that the last compaction happened, also known as the current time.
last_compaction_time: Option<Timestamp>,
}
impl Arrangement {
pub fn new_with_name(name: Vec<String>) -> Self {
Self {
spine: Default::default(),
full_arrangement: false,
is_written: false,
expire_state: None,
last_compaction_time: None,
name,
}
}
pub fn set_expire_state(&mut self, expire_state: KeyExpiryManager) {
self.expire_state = Some(expire_state);
}
/// Apply updates into spine, with no respect of whether the updates are in futures, past, or now.
///
/// Return the maximum expire time (already expire by how much time) of all updates if any keys is already expired.
pub fn apply_updates(
&mut self,
now: Timestamp,
updates: Vec<KeyValDiffRow>,
) -> Result<Option<Duration>, EvalError> {
self.is_written = true;
let mut max_expired_by: Option<Duration> = None;
for ((key, val), update_ts, diff) in updates {
// check if the key is expired
if let Some(s) = &mut self.expire_state {
if let Some(expired_by) = s.update_event_ts(now, &key)? {
max_expired_by = max_expired_by.max(Some(expired_by));
continue;
}
}
// If the `highest_ts` is less than `update_ts`, we need to create a new batch with key being `update_ts`.
if self
.spine
.last_key_value()
.map(|(highest_ts, _)| *highest_ts < update_ts)
.unwrap_or(true)
{
self.spine.insert(update_ts, Default::default());
}
// Get the first batch with key that's greater or equal to `update_ts`.
let (_, batch) = self
.spine
.range_mut(update_ts..)
.next()
.expect("Previous insert should have created the batch");
let key_updates = batch.entry(key).or_default();
key_updates.push((val, update_ts, diff));
// a stable sort make updates sort in order of insertion
// without changing the order of updates within same tick
key_updates.sort_by_key(|(_val, ts, _diff)| *ts);
}
Ok(max_expired_by)
}
/// Find out the time of next update in the future that is the next update with `timestamp > now`.
pub fn get_next_update_time(&self, now: &Timestamp) -> Option<Timestamp> {
// iter over batches that only have updates of `timestamp>now` and find the first non empty batch, then get the minimum timestamp in that batch
for (_ts, batch) in self.spine.range((Bound::Excluded(now), Bound::Unbounded)) {
let min_ts = batch
.iter()
.flat_map(|(_k, v)| v.iter().map(|(_, ts, _)| *ts).min())
.min();
if min_ts.is_some() {
return min_ts;
}
}
None
}
/// Get the last compaction time.
pub fn last_compaction_time(&self) -> Option<Timestamp> {
self.last_compaction_time
}
/// Split spine off at `split_ts`, and return the spine that's before `split_ts` (including `split_ts`).
fn split_spine_le(&mut self, split_ts: &Timestamp) -> Spine {
self.split_batch_at(split_ts);
let mut before = self.spine.split_off(&(split_ts + 1));
std::mem::swap(&mut before, &mut self.spine);
before
}
/// Split the batch at `split_ts` into two parts.
fn split_batch_at(&mut self, split_ts: &Timestamp) {
// FAST PATH:
//
// The `split_ts` hit the boundary of a batch, nothing to do.
if self.spine.contains_key(split_ts) {
return;
}
let Some((_, batch_to_split)) = self.spine.range_mut(split_ts..).next() else {
return; // No batch to split, nothing to do.
};
// SLOW PATH:
//
// The `split_ts` is in the middle of a batch, we need to split the batch into two parts.
let mut new_batch = Batch::default();
batch_to_split.retain(|key, updates| {
let mut new_updates = SmallVec::default();
updates.retain(|(val, ts, diff)| {
if *ts <= *split_ts {
// Move the updates that are less than or equal to `split_ts` to the new batch.
new_updates.push((val.clone(), *ts, *diff));
}
// Keep the updates that are greater than `split_ts` in the current batch.
*ts > *split_ts
});
if !new_updates.is_empty() {
new_batch.insert(key.clone(), new_updates);
}
// Keep the key in the current batch if it still has updates.
!updates.is_empty()
});
if !new_batch.is_empty() {
self.spine.insert(*split_ts, new_batch);
}
}
/// Advance time to `now` and consolidate all older (`now` included) updates to the first key.
///
/// Return the maximum expire time(already expire by how much time) of all updates if any keys is already expired.
pub fn compact_to(&mut self, now: Timestamp) -> Result<Option<Duration>, EvalError> {
let mut max_expired_by: Option<Duration> = None;
let batches_to_compact = self.split_spine_le(&now);
self.last_compaction_time = Some(now);
// If a full arrangement is not needed, we can just discard everything before and including now,
if !self.full_arrangement {
return Ok(None);
}
// else we update them into current state.
let mut compacting_batch = Batch::default();
for (_, batch) in batches_to_compact {
for (key, updates) in batch {
// check if the key is expired
if let Some(s) = &mut self.expire_state {
if let Some(expired_by) = s.update_event_ts(now, &key)? {
max_expired_by = max_expired_by.max(Some(expired_by));
continue;
}
}
let mut row = compacting_batch
.remove(&key)
// only one row in the updates during compaction
.and_then(|mut updates| updates.pop());
for update in updates {
row = compact_diff_row(row, &update);
}
if let Some(compacted_update) = row {
compacting_batch.insert(key, smallvec![compacted_update]);
}
}
}
// insert the compacted batch into spine with key being `now`
self.spine.insert(now, compacting_batch);
Ok(max_expired_by)
}
/// Get the updates of the arrangement from the given range of time.
pub fn get_updates_in_range<R: std::ops::RangeBounds<Timestamp> + Clone>(
&self,
range: R,
) -> Vec<KeyValDiffRow> {
// Include the next batch in case the range is not aligned with the boundary of a batch.
let batches = match range.end_bound() {
Bound::Included(t) => self.spine.range(range.clone()).chain(
self.spine
.range((Bound::Excluded(t), Bound::Unbounded))
.next(),
),
Bound::Excluded(t) => self.spine.range(range.clone()).chain(
self.spine
.range((Bound::Included(t), Bound::Unbounded))
.next(),
),
_ => self.spine.range(range.clone()).chain(None),
};
let mut res = vec![];
for (_, batch) in batches {
for (key, updates) in batch {
for (val, ts, diff) in updates {
if range.contains(ts) {
res.push(((key.clone(), val.clone()), *ts, *diff));
}
}
}
}
res
}
/// Expire keys in now that are older than expire_time, intended for reducing memory usage and limit late data arrive
pub fn truncate_expired_keys(&mut self, now: Timestamp) {
if let Some(s) = &mut self.expire_state {
if let Some(expired_keys) = s.remove_expired_keys(now) {
for key in expired_keys {
for (_, batch) in self.spine.iter_mut() {
batch.remove(&key);
}
}
}
}
}
/// Get current state of things.
///
/// Useful for query existing keys (i.e. reduce and join operator need to query existing state)
pub fn get(&self, now: Timestamp, key: &Row) -> Option<DiffRow> {
// FAST PATH:
//
// If `now <= last_compaction_time`, and it's full arrangement, we can directly return the value
// from the current state (which should be the first batch in the spine if it exist).
if let Some(last_compaction_time) = self.last_compaction_time()
&& now <= last_compaction_time
&& self.full_arrangement
{
// if the last compaction time's batch is not exist, it means the spine doesn't have it's first batch as current value
return self
.spine
.get(&last_compaction_time)
.and_then(|batch| batch.get(key))
.and_then(|updates| updates.first().cloned());
}
// SLOW PATH:
//
// Accumulate updates from the oldest batch to the batch containing `now`.
let batches = if self.spine.contains_key(&now) {
// hit the boundary of a batch
self.spine.range(..=now).chain(None)
} else {
// not hit the boundary of a batch, should include the next batch
self.spine.range(..=now).chain(
self.spine
.range((Bound::Excluded(now), Bound::Unbounded))
.next(),
)
};
let mut final_val = None;
for (ts, batch) in batches {
if let Some(updates) = batch.get(key) {
if *ts <= now {
for update in updates {
final_val = compact_diff_row(final_val, update);
}
} else {
for update in updates.iter().filter(|(_, ts, _)| *ts <= now) {
final_val = compact_diff_row(final_val, update);
}
}
}
}
final_val
}
}
fn compact_diff_row(old_row: Option<DiffRow>, new_row: &DiffRow) -> Option<DiffRow> {
let (val, ts, diff) = new_row;
match (old_row, diff) {
(Some((row, _old_ts, old_diff)), diff) if row == *val && old_diff + diff == 0 => {
// the key is deleted now
None
}
(Some((row, _old_ts, old_diff)), diff) if row == *val && old_diff + diff != 0 => {
Some((row, *ts, old_diff + *diff))
}
// if old val not equal new val, simple consider it as being overwritten, for each key can only have one value
// so it make sense to just replace the old value with new value
_ => Some((val.clone(), *ts, *diff)),
}
}
/// Simply a type alias for ReadGuard of Arrangement
pub type ArrangeReader<'a> = tokio::sync::RwLockReadGuard<'a, Arrangement>;
/// Simply a type alias for WriteGuard of Arrangement
pub type ArrangeWriter<'a> = tokio::sync::RwLockWriteGuard<'a, Arrangement>;
/// A handler to the inner Arrangement, can be cloned and shared, useful for query it's inner state
#[derive(Debug)]
pub struct ArrangeHandler {
inner: Arc<RwLock<Arrangement>>,
}
impl ArrangeHandler {
/// create a new handler from arrangement
pub fn from(arr: Arrangement) -> Self {
Self {
inner: Arc::new(RwLock::new(arr)),
}
}
/// write lock the arrangement
pub fn write(&self) -> ArrangeWriter<'_> {
self.inner.blocking_write()
}
/// read lock the arrangement
pub fn read(&self) -> ArrangeReader<'_> {
self.inner.blocking_read()
}
/// Clone the handler, but only keep the future updates.
///
/// It's a cheap operation, since it's `Arc-ed` and only clone the `Arc`.
pub fn clone_future_only(&self) -> Option<Self> {
if self.read().is_written {
return None;
}
Some(Self {
inner: self.inner.clone(),
})
}
/// Clone the handler, but keep all updates.
///
/// Prevent illegal clone after the arrange have been written,
/// because that will cause loss of data before clone.
///
/// It's a cheap operation, since it's `Arc-ed` and only clone the `Arc`.
pub fn clone_full_arrange(&self) -> Option<Self> {
{
let zelf = self.read();
if !zelf.full_arrangement && zelf.is_written {
return None;
}
}
self.write().full_arrangement = true;
Some(Self {
inner: self.inner.clone(),
})
}
pub fn set_full_arrangement(&self, full: bool) {
self.write().full_arrangement = full;
}
}
#[cfg(test)]
mod test {
use std::borrow::Borrow;
use datatypes::value::Value;
use super::*;
fn lit(v: impl Into<Value>) -> Row {
Row::new(vec![v.into()])
}
fn kv(key: impl Borrow<Row>, value: impl Borrow<Row>) -> (Row, Row) {
(key.borrow().clone(), value.borrow().clone())
}
#[test]
fn test_future_get() {
// test if apply only future updates, whether get(future_time) can operate correctly
let arr = ArrangeHandler::from(Arrangement::default());
let mut arr = arr.write();
let key = lit("a");
let updates: Vec<KeyValDiffRow> = vec![
(kv(&key, lit("b")), 1 /* ts */, 1 /* diff */),
(kv(&key, lit("c")), 2 /* ts */, 1 /* diff */),
(kv(&key, lit("d")), 3 /* ts */, 1 /* diff */),
];
// all updates above are future updates
arr.apply_updates(0, updates).unwrap();
assert_eq!(arr.get(1, &key), Some((lit("b"), 1 /* ts */, 1 /* diff */)));
assert_eq!(arr.get(2, &key), Some((lit("c"), 2 /* ts */, 1 /* diff */)));
assert_eq!(arr.get(3, &key), Some((lit("d"), 3 /* ts */, 1 /* diff */)));
}
#[test]
fn only_save_future_updates() {
// mfp operator's temporal filter need to record future updates so that it can delete on time
// i.e. insert a record now, delete this record 5 minutes later
// they will only need to keep future updates(if downstream don't need full arrangement that is)
let arr = ArrangeHandler::from(Arrangement::default());
{
let arr1 = arr.clone_full_arrange();
assert!(arr1.is_some());
let arr2 = arr.clone_future_only();
assert!(arr2.is_some());
}
{
let mut arr = arr.write();
let updates: Vec<KeyValDiffRow> = vec![
(kv(lit("a"), lit("x")), 1 /* ts */, 1 /* diff */),
(kv(lit("b"), lit("y")), 2 /* ts */, 1 /* diff */),
(kv(lit("c"), lit("z")), 3 /* ts */, 1 /* diff */),
];
// all updates above are future updates
arr.apply_updates(0, updates).unwrap();
assert_eq!(
arr.get_updates_in_range(1..=1),
vec![(kv(lit("a"), lit("x")), 1 /* ts */, 1 /* diff */)]
);
assert_eq!(arr.spine.len(), 3);
arr.compact_to(1).unwrap();
assert_eq!(arr.spine.len(), 3);
let key = &lit("a");
assert_eq!(arr.get(3, key), Some((lit("x"), 1 /* ts */, 1 /* diff */)));
let key = &lit("b");
assert_eq!(arr.get(3, key), Some((lit("y"), 2 /* ts */, 1 /* diff */)));
let key = &lit("c");
assert_eq!(arr.get(3, key), Some((lit("z"), 3 /* ts */, 1 /* diff */)));
}
assert!(arr.clone_future_only().is_none());
{
let arr2 = arr.clone_full_arrange().unwrap();
let mut arr = arr2.write();
assert_eq!(arr.spine.len(), 3);
arr.compact_to(2).unwrap();
assert_eq!(arr.spine.len(), 2);
let key = &lit("a");
assert_eq!(arr.get(3, key), Some((lit("x"), 1 /* ts */, 1 /* diff */)));
let key = &lit("b");
assert_eq!(arr.get(3, key), Some((lit("y"), 2 /* ts */, 1 /* diff */)));
let key = &lit("c");
assert_eq!(arr.get(3, key), Some((lit("z"), 3 /* ts */, 1 /* diff */)));
}
}
#[test]
fn test_reduce_expire_keys() {
let mut arr = Arrangement::default();
let expire_state = KeyExpiryManager {
event_ts_to_key: Default::default(),
key_expiration_duration: Some(10),
event_timestamp_from_row: Some(ScalarExpr::Column(0)),
};
arr.expire_state = Some(expire_state);
arr.full_arrangement = true;
let arr = ArrangeHandler::from(arr);
let updates: Vec<KeyValDiffRow> = vec![
(kv(lit(1i64), lit("x")), 1 /* ts */, 1 /* diff */),
(kv(lit(2i64), lit("y")), 2 /* ts */, 1 /* diff */),
(kv(lit(3i64), lit("z")), 3 /* ts */, 1 /* diff */),
];
{
let mut arr = arr.write();
arr.apply_updates(0, updates.clone()).unwrap();
// repeat the same updates means having multiple updates for the same key
arr.apply_updates(0, updates).unwrap();
assert_eq!(
arr.get_updates_in_range(1..=1),
vec![
(kv(lit(1i64), lit("x")), 1 /* ts */, 1 /* diff */),
(kv(lit(1i64), lit("x")), 1 /* ts */, 1 /* diff */)
]
);
assert_eq!(arr.spine.len(), 3);
arr.compact_to(1).unwrap();
assert_eq!(arr.spine.len(), 3);
}
{
let mut arr = arr.write();
assert_eq!(arr.spine.len(), 3);
arr.truncate_expired_keys(11);
assert_eq!(arr.spine.len(), 3);
let key = &lit(1i64);
assert_eq!(arr.get(11, key), Some((lit("x"), 1 /* ts */, 2 /* diff */)));
let key = &lit(2i64);
assert_eq!(arr.get(11, key), Some((lit("y"), 2 /* ts */, 2 /* diff */)));
let key = &lit(3i64);
assert_eq!(arr.get(11, key), Some((lit("z"), 3 /* ts */, 2 /* diff */)));
arr.truncate_expired_keys(12);
assert_eq!(arr.spine.len(), 3);
let key = &lit(1i64);
assert_eq!(arr.get(12, key), None);
let key = &lit(2i64);
assert_eq!(arr.get(12, key), Some((lit("y"), 2 /* ts */, 2 /* diff */)));
let key = &lit(3i64);
assert_eq!(arr.get(12, key), Some((lit("z"), 3 /* ts */, 2 /* diff */)));
assert_eq!(arr.expire_state.as_ref().unwrap().event_ts_to_key.len(), 2);
arr.truncate_expired_keys(13);
assert_eq!(arr.spine.len(), 3);
let key = &lit(1i64);
assert_eq!(arr.get(13, key), None);
let key = &lit(2i64);
assert_eq!(arr.get(13, key), None);
let key = &lit(3i64);
assert_eq!(arr.get(13, key), Some((lit("z"), 3 /* ts */, 2 /* diff */)));
assert_eq!(arr.expire_state.as_ref().unwrap().event_ts_to_key.len(), 1);
}
}
#[test]
fn test_apply_expired_keys() {
// apply updates with a expired key
let mut arr = Arrangement::default();
let expire_state = KeyExpiryManager {
event_ts_to_key: Default::default(),
key_expiration_duration: Some(10),
event_timestamp_from_row: Some(ScalarExpr::Column(0)),
};
arr.expire_state = Some(expire_state);
let arr = ArrangeHandler::from(arr);
let updates: Vec<KeyValDiffRow> = vec![
(kv(lit(1i64), lit("x")), 1 /* ts */, 1 /* diff */),
(kv(lit(2i64), lit("y")), 2 /* ts */, 1 /* diff */),
];
{
let mut arr = arr.write();
let expired_by = arr.apply_updates(12, updates).unwrap();
assert_eq!(expired_by, Some(1));
let key = &lit(1i64);
assert_eq!(arr.get(12, key), None);
let key = &lit(2i64);
assert_eq!(arr.get(12, key), Some((lit("y"), 2 /* ts */, 1 /* diff */)));
}
}
/// test if split_spine_le get ranges that are not aligned with batch boundaries
/// this split_spine_le can correctly retrieve all updates in the range, including updates that are in the batches
/// near the boundary of input range
#[test]
fn test_split_off() {
let mut arr = Arrangement::default();
// manually create batch ..=1 and 2..=3
arr.spine.insert(1, Batch::default());
arr.spine.insert(3, Batch::default());
let updates = vec![(kv(lit("a"), lit("x")), 2 /* ts */, 1 /* diff */)];
// updates falls into the range of 2..=3
arr.apply_updates(2, updates).unwrap();
let mut arr1 = arr.clone();
{
assert_eq!(arr.get_next_update_time(&1), Some(2));
// split expect to take batch ..=1 and create a new batch 2..=2 (which contains update)
let split = &arr.split_spine_le(&2);
assert_eq!(split.len(), 2);
assert_eq!(split[&2].len(), 1);
assert_eq!(arr.get_next_update_time(&1), None);
}
{
// take all updates with timestamp <=1, will get no updates
let split = &arr1.split_spine_le(&1);
assert_eq!(split.len(), 1);
assert_eq!(split[&1].len(), 0);
}
}
/// test if get ranges is not aligned with boundary of batch,
/// whether can get correct result
#[test]
fn test_get_by_range() {
let mut arr = Arrangement::default();
// will form {2: [2, 1], 4: [4,3], 6: [6,5]} three batch
// TODO(discord9): manually set batch
let updates: Vec<KeyValDiffRow> = vec![
(kv(lit("a"), lit("")), 2 /* ts */, 1 /* diff */),
(kv(lit("a"), lit("")), 1 /* ts */, 1 /* diff */),
(kv(lit("b"), lit("")), 4 /* ts */, 1 /* diff */),
(kv(lit("c"), lit("")), 3 /* ts */, 1 /* diff */),
(kv(lit("c"), lit("")), 6 /* ts */, 1 /* diff */),
(kv(lit("a"), lit("")), 5 /* ts */, 1 /* diff */),
];
arr.apply_updates(0, updates).unwrap();
assert_eq!(
arr.get_updates_in_range(2..=5),
vec![
(kv(lit("a"), lit("")), 2 /* ts */, 1 /* diff */),
(kv(lit("b"), lit("")), 4 /* ts */, 1 /* diff */),
(kv(lit("c"), lit("")), 3 /* ts */, 1 /* diff */),
(kv(lit("a"), lit("")), 5 /* ts */, 1 /* diff */),
]
);
}
/// test if get with range unaligned with batch boundary
/// can get correct result
#[test]
fn test_get_unaligned() {
let mut arr = Arrangement::default();
// will form {2: [2, 1], 4: [4,3], 6: [6,5]} three batch
// TODO(discord9): manually set batch
let key = &lit("a");
let updates: Vec<KeyValDiffRow> = vec![
(kv(key, lit(1)), 2 /* ts */, 1 /* diff */),
(kv(key, lit(2)), 1 /* ts */, 1 /* diff */),
(kv(key, lit(3)), 4 /* ts */, 1 /* diff */),
(kv(key, lit(4)), 3 /* ts */, 1 /* diff */),
(kv(key, lit(5)), 6 /* ts */, 1 /* diff */),
(kv(key, lit(6)), 5 /* ts */, 1 /* diff */),
];
arr.apply_updates(0, updates).unwrap();
// aligned with batch boundary
assert_eq!(arr.get(2, key), Some((lit(1), 2 /* ts */, 1 /* diff */)));
// unaligned with batch boundary
assert_eq!(arr.get(3, key), Some((lit(4), 3 /* ts */, 1 /* diff */)));
}
/// test if out of order updates can be sorted correctly
#[test]
fn test_out_of_order_apply_updates() {
let mut arr = Arrangement::default();
let key = &lit("a");
let updates: Vec<KeyValDiffRow> = vec![
(kv(key, lit(5)), 6 /* ts */, 1 /* diff */),
(kv(key, lit(2)), 2 /* ts */, -1 /* diff */),
(kv(key, lit(1)), 2 /* ts */, 1 /* diff */),
(kv(key, lit(2)), 1 /* ts */, 1 /* diff */),
(kv(key, lit(3)), 4 /* ts */, 1 /* diff */),
(kv(key, lit(4)), 3 /* ts */, 1 /* diff */),
(kv(key, lit(6)), 5 /* ts */, 1 /* diff */),
];
arr.apply_updates(0, updates.clone()).unwrap();
let sorted = updates
.iter()
.sorted_by_key(|(_, ts, _)| *ts)
.cloned()
.collect_vec();
assert_eq!(arr.get_updates_in_range(1..7), sorted);
}
#[test]
fn test_full_arrangement_get_from_first_entry() {
let mut arr = Arrangement::default();
// will form {3: [1, 2, 3]}
let updates = vec![
(kv(lit("a"), lit("x")), 3 /* ts */, 1 /* diff */),
(kv(lit("b"), lit("y")), 1 /* ts */, 1 /* diff */),
(kv(lit("b"), lit("y")), 2 /* ts */, -1 /* diff */),
];
arr.apply_updates(0, updates).unwrap();
assert_eq!(arr.get(2, &lit("b")), None /* deleted */);
arr.full_arrangement = true;
assert_eq!(arr.get(2, &lit("b")), None /* still deleted */);
arr.compact_to(1).unwrap();
assert_eq!(
arr.get(1, &lit("b")),
Some((lit("y"), 1, 1)) /* fast path */
);
}
}