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1422
// Copyright Materialize, Inc. and contributors. All rights reserved.
//
// Use of this software is governed by the Business Source License
// included in the LICENSE file.
//
// As of the Change Date specified in that file, in accordance with
// the Business Source License, use of this software will be governed
// by the Apache License, Version 2.0.
//! Render an operator that persists a source collection.
//!
//! ## Implementation
//!
//! This module defines the `persist_sink` operator, that writes
//! a collection produced by source rendering into a persist shard.
//!
//! It attempts to use all workers to write data to persist, and uses
//! single-instance workers to coordinate work. The below diagram
//! is an overview how it it shaped. There is more information
//! in the doc comments of the top-level functions of this module.
//!
//!```text
//!
//! ,------------.
//! | source |
//! | collection |
//! +---+--------+
//! / |
//! / |
//! / |
//! / |
//! / |
//! / |
//! / |
//! / |
//! / ,-+-----------------------.
//! / | mint_batch_descriptions |
//! / | one arbitrary worker |
//! | +-,--,--------+----+------+
//! ,----------´.-´ | \
//! _.-´ | .-´ | \
//! _.-´ | .-´ | \
//! .-´ .------+----|-------+---------|--------\-----.
//! / / | | | \ \
//! ,--------------. ,-----------------. | ,-----------------.
//! | write_batches| | write_batches | | | write_batches |
//! | worker 0 | | worker 1 | | | worker N |
//! +-----+--------+ +-+---------------+ | +--+--------------+
//! \ \ | /
//! `-. `, | /
//! `-._ `-. | /
//! `-._ `-. | /
//! `---------. `-. | /
//! +`---`---+-------------,
//! | append_batches |
//! | one arbitrary worker |
//! +------+---------------+
//!```
//!
//! ## Similarities with `mz_compute::sink::persist_sink`
//!
//! This module has many similarities with the compute version of
//! the same concept, and in fact, is entirely derived from it.
//!
//! Compute requires that its `persist_sink` is _self-correcting_;
//! that is, it corrects what the collection in persist
//! accumulates to if the collection has values changed at
//! previous timestamps. It does this by continually comparing
//! the input stream with the collection as read back from persist.
//!
//! Source collections, while definite, cannot be reliably by
//! re-produced once written down, which means compute's
//! `persist_sink`'s self-correction mechanism would need to be
//! skipped on operator startup, and would cause unnecessary read
//! load on persist.
//!
//! Additionally, persisting sources requires we use bounded
//! amounts of memory, even if a single timestamp represents
//! a huge amount of data. This is not (currently) possible
//! to guarantee while also performing self-correction.
//!
//! Because of this, we have ripped out the self-correction
//! mechanism, and aggressively simplified the sub-operators.
//! Some, particularly `append_batches` could be merged with
//! the compute version, but that requires some amount of
//! onerous refactoring that we have chosen to skip for now.
//!
// TODO(guswynn): merge at least the `append_batches` operator`
use std::cmp::Ordering;
use std::collections::BTreeMap;
use std::fmt::Debug;
use std::ops::AddAssign;
use std::rc::Rc;
use std::sync::Arc;
use std::time::Duration;
use differential_dataflow::difference::Semigroup;
use differential_dataflow::lattice::Lattice;
use differential_dataflow::{AsCollection, Collection, Hashable};
use futures::{future, StreamExt};
use itertools::Itertools;
use mz_ore::cast::CastFrom;
use mz_ore::collections::HashMap;
use mz_persist_client::batch::{Batch, BatchBuilder, ProtoBatch};
use mz_persist_client::cache::PersistClientCache;
use mz_persist_client::error::UpperMismatch;
use mz_persist_client::Diagnostics;
use mz_persist_types::codec_impls::UnitSchema;
use mz_persist_types::{Codec, Codec64};
use mz_repr::{Diff, GlobalId, Row};
use mz_storage_types::controller::CollectionMetadata;
use mz_storage_types::dyncfgs;
use mz_storage_types::errors::DataflowError;
use mz_storage_types::sources::SourceData;
use mz_timely_util::builder_async::{
Event, OperatorBuilder as AsyncOperatorBuilder, PressOnDropButton,
};
use serde::{Deserialize, Serialize};
use timely::container::CapacityContainerBuilder;
use timely::dataflow::channels::pact::{Exchange, Pipeline};
use timely::dataflow::operators::{Broadcast, Capability, CapabilitySet, Inspect};
use timely::dataflow::{Scope, Stream};
use timely::progress::{Antichain, Timestamp};
use timely::PartialOrder;
use tokio::sync::Semaphore;
use tracing::trace;
use crate::metrics::source::SourcePersistSinkMetrics;
use crate::storage_state::StorageState;
/// Metrics about batches.
#[derive(Clone, Debug, Default, Deserialize, Serialize)]
struct BatchMetrics {
inserts: u64,
retractions: u64,
error_inserts: u64,
error_retractions: u64,
}
impl AddAssign<&BatchMetrics> for BatchMetrics {
fn add_assign(&mut self, rhs: &BatchMetrics) {
let BatchMetrics {
inserts: self_inserts,
retractions: self_retractions,
error_inserts: self_error_inserts,
error_retractions: self_error_retractions,
} = self;
let BatchMetrics {
inserts: rhs_inserts,
retractions: rhs_retractions,
error_inserts: rhs_error_inserts,
error_retractions: rhs_error_retractions,
} = rhs;
*self_inserts += rhs_inserts;
*self_retractions += rhs_retractions;
*self_error_inserts += rhs_error_inserts;
*self_error_retractions += rhs_error_retractions;
}
}
impl BatchMetrics {
fn is_empty(&self) -> bool {
let BatchMetrics {
inserts: self_inserts,
retractions: self_retractions,
error_inserts: self_error_inserts,
error_retractions: self_error_retractions,
} = self;
*self_inserts == 0
&& *self_retractions == 0
&& *self_error_inserts == 0
&& *self_error_retractions == 0
}
}
/// Manages batches and metrics.
struct BatchBuilderAndMetadata<K, V, T, D>
where
K: Codec,
V: Codec,
T: Timestamp + Lattice + Codec64,
{
builder: BatchBuilder<K, V, T, D>,
data_ts: T,
metrics: BatchMetrics,
}
impl<K, V, T, D> BatchBuilderAndMetadata<K, V, T, D>
where
K: Codec + Debug,
V: Codec + Debug,
T: Timestamp + Lattice + Codec64,
D: Semigroup + Codec64,
{
/// Creates a new batch.
///
/// NOTE(benesch): temporary restriction: all updates added to the batch
/// must be at the specified timestamp `data_ts`.
fn new(builder: BatchBuilder<K, V, T, D>, data_ts: T) -> Self {
BatchBuilderAndMetadata {
builder,
data_ts,
metrics: Default::default(),
}
}
/// Adds an update to the batch.
///
/// NOTE(benesch): temporary restriction: all updates added to the batch
/// must be at the timestamp specified during creation.
async fn add(&mut self, k: &K, v: &V, t: &T, d: &D) {
assert_eq!(
self.data_ts,
*t,
"BatchBuilderAndMetadata::add called with a timestamp {t:?} that does not match creation timestamp {:?}",
self.data_ts
);
self.builder.add(k, v, t, d).await.expect("invalid usage");
}
async fn finish(self, lower: Antichain<T>, upper: Antichain<T>) -> HollowBatchAndMetadata<T> {
let batch = self
.builder
.finish(upper.clone())
.await
.expect("invalid usage");
HollowBatchAndMetadata {
lower,
upper,
data_ts: self.data_ts,
batch: batch.into_transmittable_batch(),
metrics: self.metrics,
}
}
}
/// A batch or data + metrics moved from `write_batches` to `append_batches`.
#[derive(Clone, Debug, Deserialize, Serialize)]
#[serde(bound(
serialize = "T: Timestamp + Codec64",
deserialize = "T: Timestamp + Codec64"
))]
struct HollowBatchAndMetadata<T> {
lower: Antichain<T>,
upper: Antichain<T>,
data_ts: T,
batch: ProtoBatch,
metrics: BatchMetrics,
}
/// Holds finished batches for `append_batches`.
#[derive(Debug, Default)]
struct BatchSet {
finished: Vec<FinishedBatch>,
batch_metrics: BatchMetrics,
}
#[derive(Debug)]
struct FinishedBatch {
batch: Batch<SourceData, (), mz_repr::Timestamp, Diff>,
data_ts: mz_repr::Timestamp,
}
/// Continuously writes the `desired_stream` into persist
/// This is done via a multi-stage operator graph:
///
/// 1. `mint_batch_descriptions` emits new batch descriptions whenever the
/// frontier of `desired_collection` advances. A batch description is
/// a pair of `(lower, upper)` that tells write operators
/// which updates to write and in the end tells the append operator
/// what frontiers to use when calling `append`/`compare_and_append`.
/// This is a single-worker operator.
/// 2. `write_batches` writes the `desired_collection` to persist as
/// batches and sends those batches along.
/// This does not yet append the batches to the persist shard, the update are
/// only uploaded/prepared to be appended to a shard. Also: we only write
/// updates for batch descriptions that we learned about from
/// `mint_batch_descriptions`.
/// 3. `append_batches` takes as input the minted batch descriptions and written
/// batches. Whenever the frontiers sufficiently advance, we take a batch
/// description and all the batches that belong to it and append it to the
/// persist shard.
///
/// This operator assumes that the `desired_collection` comes pre-sharded.
///
/// Note that `mint_batch_descriptions` inspects the frontier of
/// `desired_collection`, and passes the data through to `write_batches`.
/// This is done to avoid a clone of the underlying data so that both
/// operators can have the collection as input.
pub(crate) fn render<G>(
scope: &G,
collection_id: GlobalId,
target: CollectionMetadata,
desired_collection: Collection<G, Result<Row, DataflowError>, Diff>,
storage_state: &StorageState,
metrics: SourcePersistSinkMetrics,
output_index: usize,
busy_signal: Arc<Semaphore>,
) -> (
Stream<G, ()>,
Stream<G, Rc<anyhow::Error>>,
Vec<PressOnDropButton>,
)
where
G: Scope<Timestamp = mz_repr::Timestamp>,
{
let persist_clients = Arc::clone(&storage_state.persist_clients);
let operator_name = format!("persist_sink({})", collection_id);
let (batch_descriptions, passthrough_desired_stream, mint_token) = mint_batch_descriptions(
scope,
collection_id,
&operator_name,
&target,
&desired_collection,
Arc::clone(&persist_clients),
);
let (written_batches, write_token) = write_batches(
scope,
collection_id.clone(),
&operator_name,
&target,
&batch_descriptions,
&passthrough_desired_stream.as_collection(),
Arc::clone(&persist_clients),
storage_state,
Arc::clone(&busy_signal),
);
let (upper_stream, append_errors, append_token) = append_batches(
scope,
collection_id.clone(),
operator_name,
&target,
&batch_descriptions,
&written_batches,
persist_clients,
storage_state,
output_index,
metrics,
Arc::clone(&busy_signal),
);
(
upper_stream,
append_errors,
vec![mint_token, write_token, append_token],
)
}
/// Whenever the frontier advances, this mints a new batch description (lower
/// and upper) that writers should use for writing the next set of batches to
/// persist.
///
/// Only one of the workers does this, meaning there will only be one
/// description in the stream, even in case of multiple timely workers. Use
/// `broadcast()` to, ahem, broadcast, the one description to all downstream
/// write operators/workers.
fn mint_batch_descriptions<G>(
scope: &G,
collection_id: GlobalId,
operator_name: &str,
target: &CollectionMetadata,
desired_collection: &Collection<G, Result<Row, DataflowError>, Diff>,
persist_clients: Arc<PersistClientCache>,
) -> (
Stream<G, (Antichain<mz_repr::Timestamp>, Antichain<mz_repr::Timestamp>)>,
Stream<G, (Result<Row, DataflowError>, mz_repr::Timestamp, Diff)>,
PressOnDropButton,
)
where
G: Scope<Timestamp = mz_repr::Timestamp>,
{
let persist_location = target.persist_location.clone();
let shard_id = target.data_shard;
let target_relation_desc = target.relation_desc.clone();
// Only one worker is responsible for determining batch descriptions. All
// workers must write batches with the same description, to ensure that they
// can be combined into one batch that gets appended to Consensus state.
let hashed_id = collection_id.hashed();
let active_worker = usize::cast_from(hashed_id) % scope.peers() == scope.index();
// Only the "active" operator will mint batches. All other workers have an
// empty frontier. It's necessary to insert all of these into
// `compute_state.sink_write_frontier` below so we properly clear out
// default frontiers of non-active workers.
let mut mint_op = AsyncOperatorBuilder::new(
format!("{} mint_batch_descriptions", operator_name),
scope.clone(),
);
let (output, output_stream) = mint_op.new_output();
let (data_output, data_output_stream) = mint_op.new_output::<CapacityContainerBuilder<_>>();
// The description and the data-passthrough outputs are both driven by this input, so
// they use a standard input connection.
let mut desired_input =
mint_op.new_input_for_many(&desired_collection.inner, Pipeline, [&output, &data_output]);
let shutdown_button = mint_op.build(move |capabilities| async move {
// Non-active workers should just pass the data through.
if !active_worker {
// The description output is entirely driven by the active worker, so we drop
// its capability here. The data-passthrough output just uses the data
// capabilities.
drop(capabilities);
while let Some(event) = desired_input.next().await {
match event {
Event::Data([_output_cap, data_output_cap], mut data) => {
data_output.give_container(&data_output_cap, &mut data);
}
Event::Progress(_) => {}
}
}
return;
}
// The data-passthrough output should will use the data capabilities, so we drop
// its capability here.
let [desc_cap, _]: [_; 2] = capabilities.try_into().expect("one capability per output");
let mut cap_set = CapabilitySet::from_elem(desc_cap);
// Initialize this operators's `upper` to the `upper` of the persist shard we are writing
// to. Data from the source not beyond this time will be dropped, as it has already
// been persisted.
// In the future, sources will avoid passing through data not beyond this upper
let mut current_upper = {
// TODO(aljoscha): We need to figure out what to do with error
// results from these calls.
let persist_client = persist_clients
.open(persist_location)
.await
.expect("could not open persist client");
let mut write = persist_client
.open_writer::<SourceData, (), mz_repr::Timestamp, Diff>(
shard_id,
Arc::new(target_relation_desc),
Arc::new(UnitSchema),
Diagnostics {
shard_name: collection_id.to_string(),
handle_purpose: format!(
"storage::persist_sink::mint_batch_descriptions {}",
collection_id
),
},
)
.await
.expect("could not open persist shard");
// TODO: this sink currently cannot tolerate a stale upper... which is bad because the
// upper can become stale as soon as it is read. (For example, if another concurrent
// instance of the sink has updated it.) Fetching a recent upper helps to mitigate this,
// but ideally we would just skip ahead if we discover that our upper is stale.
let upper = write.fetch_recent_upper().await.clone();
// explicitly expire the once-used write handle.
write.expire().await;
upper
};
// The current input frontiers.
let mut desired_frontier;
loop {
if let Some(event) = desired_input.next().await {
match event {
Event::Data([_output_cap, data_output_cap], mut data) => {
// Just passthrough the data.
data_output.give_container(&data_output_cap, &mut data);
continue;
}
Event::Progress(frontier) => {
desired_frontier = frontier;
}
}
} else {
// Input is exhausted, so we can shut down.
return;
};
// If the new frontier for the data input has progressed, produce a batch description.
if PartialOrder::less_than(¤t_upper, &desired_frontier) {
// The maximal description range we can produce.
let batch_description = (current_upper.to_owned(), desired_frontier.to_owned());
let lower = batch_description.0.as_option().copied().unwrap();
let cap = cap_set
.try_delayed(&lower)
.ok_or_else(|| {
format!(
"minter cannot delay {:?} to {:?}. \
Likely because we already emitted a \
batch description and delayed.",
cap_set, lower
)
})
.unwrap();
trace!(
"persist_sink {collection_id}/{shard_id}: \
new batch_description: {:?}",
batch_description
);
output.give(&cap, batch_description);
// We downgrade our capability to the batch
// description upper, as there will never be
// any overlapping descriptions.
trace!(
"persist_sink {collection_id}/{shard_id}: \
downgrading to {:?}",
desired_frontier
);
cap_set.downgrade(desired_frontier.iter());
// After successfully emitting a new description, we can update the upper for the
// operator.
current_upper.clone_from(&desired_frontier);
}
}
});
(
output_stream,
data_output_stream,
shutdown_button.press_on_drop(),
)
}
/// Writes `desired_collection` to persist, but only for updates
/// that fall into batch a description that we get via `batch_descriptions`.
/// This forwards a `HollowBatch` (with additional metadata)
/// for any batch of updates that was written.
///
/// This operator assumes that the `desired_collection` comes pre-sharded.
///
/// This also and updates various metrics.
fn write_batches<G>(
scope: &G,
collection_id: GlobalId,
operator_name: &str,
target: &CollectionMetadata,
batch_descriptions: &Stream<G, (Antichain<mz_repr::Timestamp>, Antichain<mz_repr::Timestamp>)>,
desired_collection: &Collection<G, Result<Row, DataflowError>, Diff>,
persist_clients: Arc<PersistClientCache>,
storage_state: &StorageState,
busy_signal: Arc<Semaphore>,
) -> (
Stream<G, HollowBatchAndMetadata<mz_repr::Timestamp>>,
PressOnDropButton,
)
where
G: Scope<Timestamp = mz_repr::Timestamp>,
{
let worker_index = scope.index();
let persist_location = target.persist_location.clone();
let shard_id = target.data_shard;
let target_relation_desc = target.relation_desc.clone();
let source_statistics = storage_state
.aggregated_statistics
.get_source(&collection_id)
.expect("statistics initialized")
.clone();
let mut write_op =
AsyncOperatorBuilder::new(format!("{} write_batches", operator_name), scope.clone());
let (output, output_stream) = write_op.new_output::<CapacityContainerBuilder<_>>();
let mut descriptions_input =
write_op.new_input_for(&batch_descriptions.broadcast(), Pipeline, &output);
let mut desired_input = write_op.new_disconnected_input(&desired_collection.inner, Pipeline);
// This operator accepts the current and desired update streams for a `persist` shard.
// It attempts to write out updates, starting from the current's upper frontier, that
// will cause the changes of desired to be committed to persist, _but only those also past the
// upper_.
let shutdown_button = write_op.build(move |_capabilities| async move {
// In-progress batches of data, keyed by timestamp.
let mut stashed_batches = BTreeMap::new();
// Contains descriptions of batches for which we know that we can
// write data. We got these from the "centralized" operator that
// determines batch descriptions for all writers.
//
// `Antichain` does not implement `Ord`, so we cannot use a `BTreeMap`. We need to search
// through the map, so we cannot use the `mz_ore` wrapper either.
#[allow(clippy::disallowed_types)]
let mut in_flight_batches = std::collections::HashMap::<
(Antichain<mz_repr::Timestamp>, Antichain<mz_repr::Timestamp>),
Capability<mz_repr::Timestamp>,
>::new();
// TODO(aljoscha): We need to figure out what to do with error results from these calls.
let persist_client = persist_clients
.open(persist_location)
.await
.expect("could not open persist client");
let write = persist_client
.open_writer::<SourceData, (), mz_repr::Timestamp, Diff>(
shard_id,
Arc::new(target_relation_desc),
Arc::new(UnitSchema),
Diagnostics {
shard_name: collection_id.to_string(),
handle_purpose: format!(
"storage::persist_sink::write_batches {}",
collection_id
),
},
)
.await
.expect("could not open persist shard");
// The current input frontiers.
let mut batch_descriptions_frontier = Antichain::from_elem(Timestamp::minimum());
let mut desired_frontier = Antichain::from_elem(Timestamp::minimum());
// The frontiers of the inputs we have processed, used to avoid redoing work
let mut processed_desired_frontier = Antichain::from_elem(Timestamp::minimum());
let mut processed_descriptions_frontier = Antichain::from_elem(Timestamp::minimum());
// A "safe" choice for the lower of new batches we are creating.
let mut operator_batch_lower = Antichain::from_elem(Timestamp::minimum());
while !(batch_descriptions_frontier.is_empty() && desired_frontier.is_empty()) {
// Wait for either inputs to become ready
tokio::select! {
_ = descriptions_input.ready() => {},
_ = desired_input.ready() => {},
}
// Collect ready work from both inputs
while let Some(event) = descriptions_input.next_sync() {
match event {
Event::Data(cap, data) => {
// Ingest new batch descriptions.
for description in data {
if collection_id.is_user() {
trace!(
"persist_sink {collection_id}/{shard_id}: \
write_batches: \
new_description: {:?}, \
desired_frontier: {:?}, \
batch_descriptions_frontier: {:?}",
description,
desired_frontier,
batch_descriptions_frontier,
);
}
match in_flight_batches.entry(description) {
std::collections::hash_map::Entry::Vacant(v) => {
// This _should_ be `.retain`, but rust
// currently thinks we can't use `cap`
// as an owned value when using the
// match guard `Some(event)`
v.insert(cap.delayed(cap.time()));
}
std::collections::hash_map::Entry::Occupied(o) => {
let (description, _) = o.remove_entry();
panic!(
"write_batches: sink {} got more than one \
batch for description {:?}, in-flight: {:?}",
collection_id, description, in_flight_batches
);
}
}
}
}
Event::Progress(frontier) => {
batch_descriptions_frontier = frontier;
}
}
}
let ready_events = std::iter::from_fn(|| desired_input.next_sync()).collect_vec();
// We know start the async work for the input we received. Until we finish the dataflow
// should be marked as busy.
let permit = busy_signal.acquire().await;
for event in ready_events {
match event {
Event::Data(_cap, data) => {
// Extract desired rows as positive contributions to `correction`.
if collection_id.is_user() && !data.is_empty() {
trace!(
"persist_sink {collection_id}/{shard_id}: \
updates: {:?}, \
in-flight-batches: {:?}, \
desired_frontier: {:?}, \
batch_descriptions_frontier: {:?}",
data,
in_flight_batches,
desired_frontier,
batch_descriptions_frontier,
);
}
for (row, ts, diff) in data {
if write.upper().less_equal(&ts) {
let builder = stashed_batches.entry(ts).or_insert_with(|| {
BatchBuilderAndMetadata::new(
write.builder(operator_batch_lower.clone()),
ts,
)
});
let is_value = row.is_ok();
builder.add(&SourceData(row), &(), &ts, &diff).await;
source_statistics.inc_updates_staged_by(1);
// Note that we assume `diff` is either +1 or -1 here, being anything
// else is a logic bug we can't handle at the metric layer. We also
// assume this addition doesn't overflow.
match (is_value, diff.is_positive()) {
(true, true) => builder.metrics.inserts += diff.unsigned_abs(),
(true, false) => {
builder.metrics.retractions += diff.unsigned_abs()
}
(false, true) => {
builder.metrics.error_inserts += diff.unsigned_abs()
}
(false, false) => {
builder.metrics.error_retractions += diff.unsigned_abs()
}
}
}
}
}
Event::Progress(frontier) => {
desired_frontier = frontier;
}
}
}
// We may have the opportunity to commit updates, if either frontier
// has moved
if PartialOrder::less_equal(&processed_desired_frontier, &desired_frontier)
|| PartialOrder::less_equal(
&processed_descriptions_frontier,
&batch_descriptions_frontier,
)
{
trace!(
"persist_sink {collection_id}/{shard_id}: \
CAN emit: \
processed_desired_frontier: {:?}, \
processed_descriptions_frontier: {:?}, \
desired_frontier: {:?}, \
batch_descriptions_frontier: {:?}",
processed_desired_frontier,
processed_descriptions_frontier,
desired_frontier,
batch_descriptions_frontier,
);
trace!(
"persist_sink {collection_id}/{shard_id}: \
in-flight batches: {:?}, \
batch_descriptions_frontier: {:?}, \
desired_frontier: {:?}",
in_flight_batches,
batch_descriptions_frontier,
desired_frontier,
);
// We can write updates for a given batch description when
// a) the batch is not beyond `batch_descriptions_frontier`,
// and b) we know that we have seen all updates that would
// fall into the batch, from `desired_frontier`.
let ready_batches = in_flight_batches
.keys()
.filter(|(lower, upper)| {
!PartialOrder::less_equal(&batch_descriptions_frontier, lower)
&& !PartialOrder::less_than(&desired_frontier, upper)
})
.cloned()
.collect::<Vec<_>>();
trace!(
"persist_sink {collection_id}/{shard_id}: \
ready batches: {:?}",
ready_batches,
);
for batch_description in ready_batches {
let cap = in_flight_batches.remove(&batch_description).unwrap();
if collection_id.is_user() {
trace!(
"persist_sink {collection_id}/{shard_id}: \
emitting done batch: {:?}, cap: {:?}",
batch_description,
cap
);
}
let (batch_lower, batch_upper) = batch_description;
let finalized_timestamps: Vec<_> = stashed_batches
.keys()
.filter(|time| {
batch_lower.less_equal(time) && !batch_upper.less_equal(time)
})
.copied()
.collect();
let mut batch_tokens = vec![];
for ts in finalized_timestamps {
let batch_builder = stashed_batches.remove(&ts).unwrap();
if collection_id.is_user() {
trace!(
"persist_sink {collection_id}/{shard_id}: \
wrote batch from worker {}: ({:?}, {:?}),
containing {:?}",
worker_index,
batch_lower,
batch_upper,
batch_builder.metrics
);
}
let batch = batch_builder
.finish(batch_lower.clone(), batch_upper.clone())
.await;
// The next "safe" lower for batches is the meet (max) of all the emitted
// batches. These uppers all are not beyond the `desired_frontier`, which
// means all updates received by this operator will be beyond this lower.
// Additionally, the `mint_batch_descriptions` operator ensures that
// later-received batch descriptions will start beyond these uppers as
// well.
//
// It is impossible to emit a batch description that is
// beyond a not-yet emitted description in `in_flight_batches`, as
// a that description would also have been chosen as ready above.
operator_batch_lower = operator_batch_lower.join(&batch_upper);
batch_tokens.push(batch);
}
output.give_container(&cap, &mut batch_tokens);
processed_desired_frontier.clone_from(&desired_frontier);
processed_descriptions_frontier.clone_from(&batch_descriptions_frontier);
}
} else {
trace!(
"persist_sink {collection_id}/{shard_id}: \
cannot emit: processed_desired_frontier: {:?}, \
processed_descriptions_frontier: {:?}, \
desired_frontier: {:?}",
processed_desired_frontier,
processed_descriptions_frontier,
desired_frontier
);
}
drop(permit);
}
});
if collection_id.is_user() {
output_stream.inspect(|d| trace!("batch: {:?}", d));
}
(output_stream, shutdown_button.press_on_drop())
}
/// Fuses written batches together and appends them to persist using one
/// `compare_and_append` call. Writing only happens for batch descriptions where
/// we know that no future batches will arrive, that is, for those batch
/// descriptions that are not beyond the frontier of both the
/// `batch_descriptions` and `batches` inputs.
///
/// This also keeps the shared frontier that is stored in `compute_state` in
/// sync with the upper of the persist shard, and updates various metrics
/// and statistics objects.
fn append_batches<G>(
scope: &G,
collection_id: GlobalId,
operator_name: String,
target: &CollectionMetadata,
batch_descriptions: &Stream<G, (Antichain<mz_repr::Timestamp>, Antichain<mz_repr::Timestamp>)>,
batches: &Stream<G, HollowBatchAndMetadata<mz_repr::Timestamp>>,
persist_clients: Arc<PersistClientCache>,
storage_state: &StorageState,
output_index: usize,
metrics: SourcePersistSinkMetrics,
busy_signal: Arc<Semaphore>,
) -> (
Stream<G, ()>,
Stream<G, Rc<anyhow::Error>>,
PressOnDropButton,
)
where
G: Scope<Timestamp = mz_repr::Timestamp>,
{
let persist_location = target.persist_location.clone();
let shard_id = target.data_shard;
let target_relation_desc = target.relation_desc.clone();
// We can only be lenient with concurrent modifications when we know that
// this source pipeline is using the feedback upsert operator, which works
// correctly when multiple instances of an ingestion pipeline produce
// different updates, because of concurrency/non-determinism.
let use_continual_feedback_upsert = dyncfgs::STORAGE_USE_CONTINUAL_FEEDBACK_UPSERT
.get(storage_state.storage_configuration.config_set());
let bail_on_concurrent_modification = !use_continual_feedback_upsert;
let mut read_only_rx = storage_state.read_only_rx.clone();
let operator_name = format!("{} append_batches", operator_name);
let mut append_op = AsyncOperatorBuilder::new(operator_name, scope.clone());
let hashed_id = collection_id.hashed();
let active_worker = usize::cast_from(hashed_id) % scope.peers() == scope.index();
let worker_id = scope.index();
// Both of these inputs are disconnected from the output capabilities of this operator, as
// any output of this operator is entirely driven by the `compare_and_append`s. Currently
// this operator has no outputs, but they may be added in the future, when merging with
// the compute `persist_sink`.
let mut descriptions_input =
append_op.new_disconnected_input(batch_descriptions, Exchange::new(move |_| hashed_id));
let mut batches_input =
append_op.new_disconnected_input(batches, Exchange::new(move |_| hashed_id));
let current_upper = Rc::clone(&storage_state.source_uppers[&collection_id]);
if !active_worker {
// This worker is not writing, so make sure it's "taken out" of the
// calculation by advancing to the empty frontier.
current_upper.borrow_mut().clear();
}
let source_statistics = storage_state
.aggregated_statistics
.get_source(&collection_id)
.expect("statistics initialized")
.clone();
// An output whose frontier tracks the last successful compare and append of this operator
let (_upper_output, upper_stream) = append_op.new_output::<CapacityContainerBuilder<_>>();
// This operator accepts the batch descriptions and tokens that represent
// written batches. Written batches get appended to persist when we learn
// from our input frontiers that we have seen all batches for a given batch
// description.
let (shutdown_button, errors) = append_op.build_fallible(move |caps| Box::pin(async move {
let [upper_cap_set]: &mut [_; 1] = caps.try_into().unwrap();
// This may SEEM unnecessary, but metrics contains extra
// `DeleteOnDrop`-wrapped fields that will NOT be moved into this
// closure otherwise, dropping and destroying
// those metrics. This is because rust now only moves the
// explicitly-referenced fields into closures.
let metrics = metrics;
// Contains descriptions of batches for which we know that we can
// write data. We got these from the "centralized" operator that
// determines batch descriptions for all writers.
//
// `Antichain` does not implement `Ord`, so we cannot use a `BTreeSet`. We need to search
// through the set, so we cannot use the `mz_ore` wrapper either.
#[allow(clippy::disallowed_types)]
let mut in_flight_descriptions = std::collections::HashSet::<(
Antichain<mz_repr::Timestamp>,
Antichain<mz_repr::Timestamp>,
)>::new();
// In flight batches that haven't been `compare_and_append`'d yet, plus metrics about
// the batch.
let mut in_flight_batches = HashMap::<
(Antichain<mz_repr::Timestamp>, Antichain<mz_repr::Timestamp>),
BatchSet,
>::new();
source_statistics.initialize_rehydration_latency_ms();
if !active_worker {
// The non-active workers report that they are done snapshotting and hydrating.
let empty_frontier = Antichain::new();
source_statistics.initialize_snapshot_committed(&empty_frontier);
source_statistics.update_rehydration_latency_ms(&empty_frontier);
return Ok(());
}
let persist_client = persist_clients
.open(persist_location)
.await?;
let mut write = persist_client
.open_writer::<SourceData, (), mz_repr::Timestamp, Diff>(
shard_id,
Arc::new(target_relation_desc),
Arc::new(UnitSchema),
Diagnostics {
shard_name:collection_id.to_string(),
handle_purpose: format!("persist_sink::append_batches {}", collection_id)
},
)
.await?;
// Initialize this sink's `upper` to the `upper` of the persist shard we are writing
// to. Data from the source not beyond this time will be dropped, as it has already
// been persisted.
// In the future, sources will avoid passing through data not beyond this upper
// VERY IMPORTANT: Only the active write worker must change the
// shared upper. All other workers have already cleared this
// upper above.
current_upper.borrow_mut().clone_from(write.upper());
upper_cap_set.downgrade(current_upper.borrow().iter());
source_statistics.initialize_snapshot_committed(write.upper());
// The current input frontiers.
let mut batch_description_frontier = Antichain::from_elem(Timestamp::minimum());
let mut batches_frontier = Antichain::from_elem(Timestamp::minimum());
// Pause the source to prevent committing the snapshot,
// if the failpoint is configured
let mut pg_snapshot_pause = false;
(|| {
fail::fail_point!("pg_snapshot_pause", |val| {
pg_snapshot_pause = val.map_or(false, |index| {
let index: usize = index.parse().unwrap();
index == output_index
});
});
})();
loop {
tokio::select! {
Some(event) = descriptions_input.next() => {
match event {
Event::Data(_cap, data) => {
// Ingest new batch descriptions.
for batch_description in data {
if collection_id.is_user() {
trace!(
"persist_sink {collection_id}/{shard_id}: \
append_batches: sink {}, \
new description: {:?}, \
batch_description_frontier: {:?}",
collection_id,
batch_description,
batch_description_frontier
);
}
// This line has to be broken up, or
// rustfmt fails in the whole function :(
let is_new = in_flight_descriptions.insert(
batch_description.clone()
);
assert!(
is_new,
"append_batches: sink {} got more than one batch \
for a given description in-flight: {:?}",
collection_id, in_flight_batches
);
}
continue;
}
Event::Progress(frontier) => {
batch_description_frontier = frontier;
}
}
}
Some(event) = batches_input.next() => {
match event {
Event::Data(_cap, data) => {
for batch in data {
let batch_description = (batch.lower.clone(), batch.upper.clone());
let batches = in_flight_batches
.entry(batch_description)
.or_default();
batches.finished.push(FinishedBatch {
batch: write.batch_from_transmittable_batch(batch.batch),
data_ts: batch.data_ts,
});
batches.batch_metrics += &batch.metrics;
}
continue;
}
Event::Progress(frontier) => {
batches_frontier = frontier;
}
}
}
else => {
// All inputs are exhausted, so we can shut down.
return Ok(());
}
};
// Peel off any batches that are not beyond the frontier
// anymore.
//
// It is correct to consider batches that are not beyond the
// `batches_frontier` because it is held back by the writer
// operator as long as a) the `batch_description_frontier` did
// not advance and b) as long as the `desired_frontier` has not
// advanced to the `upper` of a given batch description.
let mut done_batches = in_flight_descriptions
.iter()
.filter(|(lower, _upper)| !PartialOrder::less_equal(&batches_frontier, lower))
.cloned()
.collect::<Vec<_>>();
trace!(
"persist_sink {collection_id}/{shard_id}: \
append_batches: in_flight: {:?}, \
done: {:?}, \
batch_frontier: {:?}, \
batch_description_frontier: {:?}",
in_flight_descriptions,
done_batches,
batches_frontier,
batch_description_frontier
);
// Append batches in order, to ensure that their `lower` and
// `upper` line up.
done_batches.sort_by(|a, b| {
if PartialOrder::less_than(a, b) {
Ordering::Less
} else if PartialOrder::less_than(b, a) {
Ordering::Greater
} else {
Ordering::Equal
}
});
// Reverse, as we'll pop batches off the end of the queue.
done_batches.reverse();
while let Some(done_batch_metadata) = done_batches.pop() {
in_flight_descriptions.remove(&done_batch_metadata);
let batch_set = in_flight_batches
.remove(&done_batch_metadata)
.unwrap_or_default();
let mut batches = batch_set.finished;
trace!(
"persist_sink {collection_id}/{shard_id}: \
done batch: {:?}, {:?}",
done_batch_metadata,
batches
);
let (batch_lower, batch_upper) = done_batch_metadata;
let batch_metrics = batch_set.batch_metrics;
let mut to_append = batches.iter_mut().map(|b| &mut b.batch).collect::<Vec<_>>();
// We evaluate this above to avoid checking an environment variable
// in a hot loop. Note that we only pause before we emit
// non-empty batches, because we do want to bump the upper
// with empty ones before we start ingesting the snapshot.
//
// This is a fairly complex failure case we need to check
// see `test/cluster/pg-snapshot-partial-failure` for more
// information.
if pg_snapshot_pause && !to_append.is_empty() && !batch_metrics.is_empty() {
futures::future::pending().await
}
let result = {
let maybe_err = if *read_only_rx.borrow() {
// We have to wait for either us coming out of read-only
// mode or someone else applying a write that covers our
// batch.
//
// If we didn't wait for the latter here, and just go
// around the loop again, we might miss a moment where
// _we_ have to write down a batch. For example when our
// input frontier advances to a state where we can
// write, and the read-write instance sees the same
// update but then crashes before it can append a batch.
let maybe_err = loop {
if collection_id.is_user() {
tracing::debug!(
%worker_id,
%collection_id,
%shard_id,
?batch_lower,
?batch_upper,
?current_upper,
"persist_sink is in read-only mode, waiting until we come out of it or the shard upper advances"
);
}
// We don't try to be smart here, and for example
// use `wait_for_upper_past()`. We'd have to use a
// select!, which would require cancel safety of
// `wait_for_upper_past()`, which it doesn't
// advertise.
let _ = tokio::time::timeout(Duration::from_secs(1), read_only_rx.changed()).await;
if !*read_only_rx.borrow() {
if collection_id.is_user() {
tracing::debug!(
%worker_id,
%collection_id,
%shard_id,
?batch_lower,
?batch_upper,
?current_upper,
"persist_sink has come out of read-only mode"
);
}
// It's okay to write now.
break Ok(());
}
let current_upper = write.fetch_recent_upper().await;
if PartialOrder::less_than(&batch_upper, current_upper) {
// We synthesize an `UpperMismatch` so that we can go
// through the same logic below for trimming down our
// batches.
//
// Notably, we are not trying to be smart, and teach the
// write operator about read-only mode. Writing down
// those batches does not append anything to the persist
// shard, and it would be a hassle to figure out in the
// write workers how to trim down batches in read-only
// mode, when the shard upper advances.
//
// Right here, in the logic below, we have all we need
// for figuring out how to trim our batches.
if collection_id.is_user() {
tracing::debug!(
%worker_id,
%collection_id,
%shard_id,
?batch_lower,
?batch_upper,
?current_upper,
"persist_sink not appending in read-only mode"
);
}
break Err(UpperMismatch {
current: current_upper.clone(),
expected: batch_lower.clone()}
);
}
};
maybe_err
} else {
// It's okay to proceed with the write.
Ok(())
};
match maybe_err {
Ok(()) => {
let _permit = busy_signal.acquire().await;
write.compare_and_append_batch(
&mut to_append[..],
batch_lower.clone(),
batch_upper.clone(),
)
.await
.expect("Invalid usage")
},
Err(e) => {
// We forward the synthesize error message, so that
// we go though the batch cleanup logic below.
Err(e)
}
}
};
// These metrics are independent of whether it was _us_ or
// _someone_ that managed to commit a batch that advanced the
// upper.
source_statistics.update_snapshot_committed(&batch_upper);
source_statistics.update_rehydration_latency_ms(&batch_upper);
metrics
.progress
.set(mz_persist_client::metrics::encode_ts_metric(&batch_upper));
if collection_id.is_user() {
trace!(
"persist_sink {collection_id}/{shard_id}: \
append result for batch ({:?} -> {:?}): {:?}",
batch_lower,
batch_upper,
result
);
}
match result {
Ok(()) => {
// Only update these metrics when we know that _we_ were
// successful.
source_statistics
.inc_updates_committed_by(batch_metrics.inserts + batch_metrics.retractions);
metrics.processed_batches.inc();
metrics.row_inserts.inc_by(batch_metrics.inserts);
metrics.row_retractions.inc_by(batch_metrics.retractions);
metrics.error_inserts.inc_by(batch_metrics.error_inserts);
metrics
.error_retractions
.inc_by(batch_metrics.error_retractions);
current_upper.borrow_mut().clone_from(&batch_upper);
upper_cap_set.downgrade(current_upper.borrow().iter());
}
Err(mismatch) => {
// We tried to to a non-contiguous append, that won't work.
if PartialOrder::less_than(&mismatch.current, &batch_lower) {
// Best-effort attempt to delete unneeded batches.
future::join_all(batches.into_iter().map(|b| b.batch.delete())).await;
// We always bail when this happens, regardless of
// `bail_on_concurrent_modification`.
tracing::warn!(
"persist_sink({}): invalid upper! \
Tried to append batch ({:?} -> {:?}) but upper \
is {:?}. This is surpising and likely indicates \
a bug in the persist sink, but we'll restart the \
dataflow and try again.",
collection_id, batch_lower, batch_upper, mismatch.current,
);
anyhow::bail!("collection concurrently modified. Ingestion dataflow will be restarted");
} else if PartialOrder::less_than(&mismatch.current, &batch_upper) {
// The shard's upper was ahead of our batch's lower
// but not ahead of our upper. Cut down the
// description by advancing its lower to the current
// shard upper and try again. IMPORTANT: We can only
// advance the lower, meaning we cut updates away,
// we must not "extend" the batch by changing to a
// lower that is not beyond the current lower. This
// invariant is checked by the first if branch: if
// `!(current_upper < lower)` then it holds that
// `lower <= current_upper`.
// First, construct a new batch description with the
// lower advanced to the current shard upper.
let new_batch_lower = mismatch.current.clone();
let new_done_batch_metadata = (new_batch_lower.clone(), batch_upper.clone());
// Re-add the new batch to the list of batches to
// process.
done_batches.push(new_done_batch_metadata.clone());
// Retain any batches that are still in advance of
// the new lower, and delete any batches that are
// not.
//
// Temporary measure: this bookkeeping is made
// possible by the fact that each batch only
// contains data at a single timestamp, even though
// it might declare a larger lower or upper. In the
// future, we'll want to use persist's `append` API
// and let persist handle the truncation internally.
let new_batch_set = in_flight_batches.entry(new_done_batch_metadata).or_default();
let mut batch_delete_futures = vec![];
for batch in batches {
if new_batch_lower.less_equal(&batch.data_ts) {
new_batch_set.finished.push(batch);
} else {
batch_delete_futures.push(batch.batch.delete());
}
}
// Best-effort attempt to delete unneeded batches.
future::join_all(batch_delete_futures).await;
} else {
// Best-effort attempt to delete unneeded batches.
future::join_all(batches.into_iter().map(|b| b.batch.delete())).await;
}
if bail_on_concurrent_modification {
tracing::warn!(
"persist_sink({}): invalid upper! \
Tried to append batch ({:?} -> {:?}) but upper \
is {:?}. This is not a problem, it just means \
someone else was faster than us. We will try \
again with a new batch description.",
collection_id, batch_lower, batch_upper, mismatch.current,
);
anyhow::bail!("collection concurrently modified. Ingestion dataflow will be restarted");
}
}
}
}
}
}));
(upper_stream, errors, shutdown_button.press_on_drop())
}