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Merge pull request #4704 from influxdata/cn/welcome-back-read-buffer 

feat: Start of a read buffer chunk cache
pull/24376/head
kodiakhq[bot] 2022-05-26 13:53:29 +00:00 committed by GitHub
parent 2d5a327bf4 1043c98e17
commit f645ec8a42
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GPG Key ID: 4AEE18F83AFDEB23
9 changed files with 320 additions and 141 deletions
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1
Cargo.lock generated
View File

@ -3948,6 +3948,7 @@ dependencies = [
"pin-project",
"predicate",
"rand",
"read_buffer",
"schema",
"service_common",
"service_grpc_schema",

78
cache_system/src/driver.rs
View File

@ -1,30 +1,35 @@
//! Main data structure, see [`Cache`].
use std::{collections::HashMap, hash::Hash, sync::Arc};
use super::{backend::CacheBackend, loader::Loader};
use futures::{
future::{BoxFuture, Shared},
FutureExt, TryFutureExt,
};
use observability_deps::tracing::debug;
use parking_lot::Mutex;
use std::{collections::HashMap, hash::Hash, sync::Arc};
use tokio::{
sync::oneshot::{error::RecvError, Sender},
task::JoinHandle,
};
use super::{backend::CacheBackend, loader::Loader};
/// High-level cache implementation.
///
/// # Concurrency
/// Multiple cache requests for different keys can run at the same time. When data is requested for the same key the
/// underlying loader will only be polled once, even when the requests are made while the loader is still running.
///
/// Multiple cache requests for different keys can run at the same time. When data is requested for
/// the same key the underlying loader will only be polled once, even when the requests are made
/// while the loader is still running.
///
/// # Cancellation
/// Canceling a [`get`](Self::get) request will NOT cancel the underlying loader. The data will still be cached.
///
/// Canceling a [`get`](Self::get) request will NOT cancel the underlying loader. The data will
/// still be cached.
///
/// # Panic
/// If the underlying loader panics, all currently running [`get`](Self::get) requests will panic. The data will NOT be cached.
///
/// If the underlying loader panics, all currently running [`get`](Self::get) requests will panic.
/// The data will NOT be cached.
#[derive(Debug)]
pub struct Cache<K, V>
where
@ -57,7 +62,8 @@ where
/// Get value from cache.
pub async fn get(&self, k: K) -> V {
// place state locking into its own scope so it doesn't leak into the generator (async function)
// place state locking into its own scope so it doesn't leak into the generator (async
// function)
let receiver = {
let mut state = self.state.lock();
@ -83,7 +89,8 @@ where
let tag = state.tag_counter;
state.tag_counter += 1;
// need to wrap the query into a tokio task so that it doesn't get cancelled when this very request is canceled
// need to wrap the query into a tokio task so that it doesn't get cancelled when
// this very request is cancelled
let state_captured = Arc::clone(&self.state);
let loader = Arc::clone(&self.loader);
let k_captured = k.clone();
@ -93,7 +100,8 @@ where
let k_for_loader = k_captured.clone();
// execute the loader
// If we panic here then `tx` will be dropped and the receivers will be notified.
// If we panic here then `tx` will be dropped and the receivers will be
// notified.
let v = loader.load(k_for_loader).await;
// remove "running" state and store result
@ -104,14 +112,16 @@ where
Some(running_query) if running_query.tag == tag => {
state.running_queries.remove(&k_captured);
// this very query is in charge of the key, so store in in the underlying cache
// this very query is in charge of the key, so store in in the
// underlying cache
state.cached_entries.set(k_captured, v.clone());
true
}
_ => {
// This query is actually not really running any longer but got shut down, e.g. due
// to side loading. Do NOT store the generated value in the underlying cache.
// This query is actually not really running any longer but got
// shut down, e.g. due to side loading. Do NOT store the
// generated value in the underlying cache.
false
}
@ -119,8 +129,9 @@ where
};
if !was_running {
// value was side-loaded, so we cannot populate `v`. Instead block this execution branch and
// wait for `rx_set` to deliver the side-loaded result.
// value was side-loaded, so we cannot populate `v`. Instead block this
// execution branch and wait for `rx_set` to deliver the side-loaded
// result.
loop {
tokio::task::yield_now().await;
}
@ -134,8 +145,9 @@ where
maybe_v = rx_set.fuse() => {
match maybe_v {
Ok(v) => {
// data get side-loaded via `Cache::set`. In this case, we do NOT modify the state
// because there would be a lock-gap. The `set` function will do that for us instead.
// data get side-loaded via `Cache::set`. In this case, we do
// NOT modify the state because there would be a lock-gap. The
// `set` function will do that for us instead.
v
}
Err(_) => {
@ -187,9 +199,10 @@ where
// it's OK when the receiver side is gone (likely panicked)
running_query.set.send(v.clone()).ok();
// When we side-load data into the running task, the task does NOT modify the backend, so we have to do
// that. The reason for not letting the task feed the side-loaded data back into `cached_entries` is that we
// would need to drop the state lock here before the task could acquire it, leading to a lock gap.
// When we side-load data into the running task, the task does NOT modify the
// backend, so we have to do that. The reason for not letting the task feed the
// side-loaded data back into `cached_entries` is that we would need to drop the
// state lock here before the task could acquire it, leading to a lock gap.
Some(running_query.join_handle)
} else {
None
@ -215,9 +228,10 @@ where
{
fn drop(&mut self) {
for (_k, running_query) in self.state.lock().running_queries.drain() {
// It's unlikely that anyone is still using the shared receiver at this point, because Cache::get borrow
// the self. If it is still in use, aborting the task will cancel the contained future which in turn will
// drop the sender of the oneshot channel. The receivers will be notified.
// It's unlikely that anyone is still using the shared receiver at this point, because
// `Cache::get` borrows the `self`. If it is still in use, aborting the task will
// cancel the contained future which in turn will drop the sender of the oneshot
// channel. The receivers will be notified.
running_query.join_handle.abort();
}
}
@ -226,11 +240,12 @@ where
/// A [`tokio::sync::oneshot::Receiver`] that can be cloned.
///
/// The types are:
/// - `Arc<Mutex<V>>`: Ensures that we can clone `V` without requiring `V: Sync`. At the same time the reference to `V`
/// (i.e. the `Arc`) must be cloneable for `Shared`
///
/// - `Arc<Mutex<V>>`: Ensures that we can clone `V` without requiring `V: Sync`. At the same time
/// the reference to `V` (i.e. the `Arc`) must be cloneable for `Shared`
/// - `Arc<RecvError>`: Is required because `RecvError` is not `Clone` but `Shared` requires that.
/// - `BoxFuture`: The transformation from `Result<V, RecvError>` to `Result<Arc<Mutex<V>>, Arc<RecvError>>` results in
/// a kinda messy type and we wanna erase that.
/// - `BoxFuture`: The transformation from `Result<V, RecvError>` to `Result<Arc<Mutex<V>>,
/// Arc<RecvError>>` results in a kinda messy type and we wanna erase that.
/// - `Shared`: Allow the receiver to be cloned and be awaited from multiple places.
type SharedReceiver<V> = Shared<BoxFuture<'static, Result<Arc<Mutex<V>>, Arc<RecvError>>>>;
@ -483,14 +498,16 @@ mod tests {
impl TestLoader {
/// Panic when loading value for `k`.
///
/// If this is used together with [`block`](Self::block), the panic will occur AFTER blocking.
/// If this is used together with [`block`](Self::block), the panic will occur AFTER
/// blocking.
fn panic_once(&self, k: u8) {
self.panic.lock().insert(k);
}
/// Block all [`load`](Self::load) requests until [`unblock`](Self::unblock) is called.
///
/// If this is used together with [`panic_once`](Self::panic_once), the panic will occur AFTER blocking.
/// If this is used together with [`panic_once`](Self::panic_once), the panic will occur
/// AFTER blocking.
fn block(&self) {
let mut blocked = self.blocked.lock();
assert!(blocked.is_none());
@ -523,7 +540,8 @@ mod tests {
async fn load(&self, k: u8) -> String {
self.loaded.lock().push(k);
// need to capture the cloned notify handle, otherwise the lock guard leaks into the generator
// need to capture the cloned notify handle, otherwise the lock guard leaks into the
// generator
let maybe_block = self.blocked.lock().clone();
if let Some(block) = maybe_block {
block.notified().await;

8
compactor/src/compact.rs
View File

@ -1218,11 +1218,11 @@ mod tests {
let files1 = files.pop().unwrap();
let files0 = files.pop().unwrap();
let chunk_0 = adapter
.new_querier_chunk_from_file_with_metadata(files0)
.new_querier_parquet_chunk_from_file_with_metadata(files0)
.await
.unwrap();
let chunk_1 = adapter
.new_querier_chunk_from_file_with_metadata(files1)
.new_querier_parquet_chunk_from_file_with_metadata(files1)
.await
.unwrap();
// query the chunks
@ -1439,11 +1439,11 @@ mod tests {
let files2 = files.pop().unwrap();
let files1 = files.pop().unwrap();
let chunk_0 = adapter
.new_querier_chunk_from_file_with_metadata(files1)
.new_querier_parquet_chunk_from_file_with_metadata(files1)
.await
.unwrap();
let chunk_1 = adapter
.new_querier_chunk_from_file_with_metadata(files2)
.new_querier_parquet_chunk_from_file_with_metadata(files2)
.await
.unwrap();
// query the chunks

1
querier/Cargo.toml
View File

@ -25,6 +25,7 @@ pin-project = "1.0"
predicate = { path = "../predicate" }
iox_query = { path = "../iox_query" }
rand = "0.8.3"
read_buffer = { path = "../read_buffer" }
service_common = { path = "../service_common" }
service_grpc_schema = { path = "../service_grpc_schema" }
schema = { path = "../schema" }

1
querier/src/cache/mod.rs vendored
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@ -15,6 +15,7 @@ pub mod parquet_file;
pub mod partition;
pub mod processed_tombstones;
mod ram;
pub mod read_buffer;
pub mod table;
pub mod tombstones;

201
querier/src/cache/read_buffer.rs vendored Normal file
View File

@ -0,0 +1,201 @@
//! Cache Parquet file data in Read Buffer chunks.
use super::ram::RamSize;
use backoff::{Backoff, BackoffConfig};
use cache_system::{
backend::{
lru::{LruBackend, ResourcePool},
resource_consumption::FunctionEstimator,
shared::SharedBackend,
},
driver::Cache,
loader::{metrics::MetricsLoader, FunctionLoader},
};
use data_types::{ParquetFile, ParquetFileId};
use datafusion::physical_plan::SendableRecordBatchStream;
use futures::StreamExt;
use iox_time::TimeProvider;
use read_buffer::RBChunk;
use snafu::{ResultExt, Snafu};
use std::{collections::HashMap, mem, sync::Arc};
const CACHE_ID: &str = "read_buffer";
/// Cache for parquet file data decoded into read buffer chunks
#[derive(Debug)]
pub struct ReadBufferCache {
cache: Cache<ParquetFileId, Arc<RBChunk>>,
/// Handle that allows clearing entries for existing cache entries
_backend: SharedBackend<ParquetFileId, Arc<RBChunk>>,
}
impl ReadBufferCache {
/// Create a new empty cache.
pub fn new(
time_provider: Arc<dyn TimeProvider>,
metric_registry: &metric::Registry,
ram_pool: Arc<ResourcePool<RamSize>>,
) -> Self {
let loader = Box::new(FunctionLoader::new(
move |parquet_file_id: ParquetFileId| {
let backoff_config = BackoffConfig::default();
async move {
let rb_chunk = Backoff::new(&backoff_config)
.retry_all_errors("get read buffer chunk by parquet file ID", || async {
let parquet_file = parquet_file_by_id(parquet_file_id);
let table_name = parquet_file_table_name(&parquet_file).to_string();
let record_batch_stream = record_batches_stream(&parquet_file);
read_buffer_chunk_from_stream(table_name, record_batch_stream).await
})
.await
.expect("retry forever");
Arc::new(rb_chunk)
}
},
));
let loader = Arc::new(MetricsLoader::new(
loader,
CACHE_ID,
Arc::clone(&time_provider),
metric_registry,
));
// add to memory pool
let backend = Box::new(LruBackend::new(
Box::new(HashMap::new()),
Arc::clone(&ram_pool),
CACHE_ID,
Arc::new(FunctionEstimator::new(
|k: &ParquetFileId, v: &Arc<RBChunk>| {
RamSize(mem::size_of_val(k) + mem::size_of_val(v) + v.size())
},
)),
));
// get a direct handle so we can clear out entries as needed
let _backend = SharedBackend::new(backend);
let cache = Cache::new(loader, Box::new(_backend.clone()));
Self { cache, _backend }
}
/// Get read buffer chunks by Parquet file id
pub async fn get(&self, parquet_file_id: ParquetFileId) -> Arc<RBChunk> {
self.cache.get(parquet_file_id).await
}
}
fn parquet_file_by_id(_parquet_file_id: ParquetFileId) -> ParquetFile {
unimplemented!()
}
fn parquet_file_table_name(_parquet_file: &ParquetFile) -> &str {
unimplemented!()
}
fn record_batches_stream(_parquet_file: &ParquetFile) -> SendableRecordBatchStream {
unimplemented!()
}
#[derive(Debug, Snafu)]
enum RBChunkError {
#[snafu(display("Error streaming record batches: {}", source))]
Streaming { source: arrow::error::ArrowError },
#[snafu(display("Error pushing record batch into chunk: {}", source))]
Pushing { source: arrow::error::ArrowError },
#[snafu(display("Read buffer error: {}", source))]
ReadBuffer { source: read_buffer::Error },
}
async fn read_buffer_chunk_from_stream(
table_name: String,
mut stream: SendableRecordBatchStream,
) -> Result<RBChunk, RBChunkError> {
let schema = stream.schema();
let mut builder = read_buffer::RBChunkBuilder::new(table_name, schema);
while let Some(record_batch) = stream.next().await {
builder
.push_record_batch(record_batch.context(StreamingSnafu)?)
.context(PushingSnafu)?;
}
builder.build().context(ReadBufferSnafu)
}
#[cfg(test)]
mod tests {
use super::*;
use crate::cache::ram::test_util::test_ram_pool;
use arrow::record_batch::RecordBatch;
use arrow_util::assert_batches_eq;
use datafusion_util::stream_from_batches;
use iox_tests::util::TestCatalog;
use mutable_batch_lp::test_helpers::lp_to_mutable_batch;
use read_buffer::Predicate;
use schema::selection::Selection;
fn make_cache(catalog: &TestCatalog) -> ReadBufferCache {
ReadBufferCache::new(
catalog.time_provider(),
&catalog.metric_registry(),
test_ram_pool(),
)
}
async fn make_catalog() -> Arc<TestCatalog> {
TestCatalog::new()
}
#[tokio::test]
async fn test_rb_chunks() {
let catalog = make_catalog().await;
let _cache = make_cache(&catalog);
}
fn lp_to_record_batch(lp: &str) -> RecordBatch {
let (_table, batch) = lp_to_mutable_batch(lp);
batch.to_arrow(Selection::All).unwrap()
}
#[tokio::test]
async fn build_read_buffer_chunk_from_stream_of_record_batches() {
let lines = ["cpu,host=a load=1 11", "cpu,host=a load=2 22"];
let batches = lines
.into_iter()
.map(lp_to_record_batch)
.map(Arc::new)
.collect();
let stream = stream_from_batches(batches);
let rb = read_buffer_chunk_from_stream("cpu".to_string(), stream)
.await
.unwrap();
let rb_batches: Vec<RecordBatch> = rb
.read_filter(Predicate::default(), Selection::All, vec![])
.unwrap()
.collect();
let expected = [
"+------+------+--------------------------------+",
"| host | load | time |",
"+------+------+--------------------------------+",
"| a | 1 | 1970-01-01T00:00:00.000000011Z |",
"| a | 2 | 1970-01-01T00:00:00.000000022Z |",
"+------+------+--------------------------------+",
];
assert_batches_eq!(expected, &rb_batches);
}
}

78
querier/src/chunk/mod.rs
View File

@ -1,4 +1,4 @@
//! Querier Chunk
//! Querier Chunks
use crate::cache::CatalogCache;
use arrow::record_batch::RecordBatch;
@ -20,7 +20,7 @@ use uuid::Uuid;
mod query_access;
/// Immutable metadata attached to a [`QuerierChunk`].
/// Immutable metadata attached to a [`QuerierParquetChunk`].
#[derive(Debug)]
pub struct ChunkMeta {
/// The ID of the chunk
@ -80,27 +80,19 @@ impl ChunkMeta {
}
}
/// Determines how the chunk data is currently accessible.
#[derive(Debug)]
pub enum ChunkStorage {
/// Data is currently available via parquet file within the object store.
Parquet {
/// ID of the parquet file if the chunk
parquet_file_id: ParquetFileId,
/// Chunk of the parquet file
chunk: Arc<ParquetChunk>,
},
}
/// Chunk representation for the querier.
/// Chunk representation of Parquet file chunks for the querier.
///
/// These chunks are usually created on-demand. The querier cache system does not really have a notion of chunks (rather
/// it knows about parquet files, local FS caches, ingester data, cached read buffers) but we need to combine all that
/// knowledge into chunk objects because this is what the query engine (DataFusion and InfluxRPC) expect.
/// These chunks are usually created on-demand. The querier cache system does not really have a
/// notion of chunks (rather it knows about parquet files, local FS caches, ingester data, cached
/// read buffers) but we need to combine all that knowledge into chunk objects because this is what
/// the query engine (DataFusion and InfluxRPC) expect.
#[derive(Debug)]
pub struct QuerierChunk {
/// How the data is currently structured / available for query.
storage: ChunkStorage,
pub struct QuerierParquetChunk {
/// ID of the Parquet file of the chunk
parquet_file_id: ParquetFileId,
/// Chunk of the Parquet file
parquet_chunk: Arc<ParquetChunk>,
/// Immutable metadata.
meta: Arc<ChunkMeta>,
@ -112,19 +104,17 @@ pub struct QuerierChunk {
partition_sort_key: Arc<Option<SortKey>>,
}
impl QuerierChunk {
impl QuerierParquetChunk {
/// Create new parquet-backed chunk (object store data).
pub fn new_parquet(
pub fn new(
parquet_file_id: ParquetFileId,
chunk: Arc<ParquetChunk>,
parquet_chunk: Arc<ParquetChunk>,
meta: Arc<ChunkMeta>,
partition_sort_key: Arc<Option<SortKey>>,
) -> Self {
Self {
storage: ChunkStorage::Parquet {
parquet_file_id,
chunk,
},
parquet_chunk,
meta,
delete_predicates: Vec::new(),
partition_sort_key,
@ -152,20 +142,14 @@ impl QuerierChunk {
self.meta.as_ref()
}
/// Parquet file ID if this chunk is backed by a parquet file.
pub fn parquet_file_id(&self) -> Option<ParquetFileId> {
match &self.storage {
ChunkStorage::Parquet {
parquet_file_id, ..
} => Some(*parquet_file_id),
}
/// Parquet file ID
pub fn parquet_file_id(&self) -> ParquetFileId {
self.parquet_file_id
}
/// Return time range
pub fn timestamp_min_max(&self) -> Option<TimestampMinMax> {
match &self.storage {
ChunkStorage::Parquet { chunk, .. } => chunk.timestamp_min_max(),
}
self.parquet_chunk.timestamp_min_max()
}
/// Partition sort key
@ -233,24 +217,24 @@ impl ParquetChunkAdapter {
))
}
/// Create new querier chunk from a catalog record
/// Create new querier Parquet chunk from a catalog record
///
/// Returns `None` if some data required to create this chunk is already gone from the catalog.
pub async fn new_querier_chunk_from_file_with_metadata(
pub async fn new_querier_parquet_chunk_from_file_with_metadata(
&self,
parquet_file_with_metadata: ParquetFileWithMetadata,
) -> Option<QuerierChunk> {
) -> Option<QuerierParquetChunk> {
let decoded_parquet_file = DecodedParquetFile::new(parquet_file_with_metadata);
self.new_querier_chunk(&decoded_parquet_file).await
self.new_querier_parquet_chunk(&decoded_parquet_file).await
}
/// Create new querier chunk.
/// Create new querier Parquet chunk.
///
/// Returns `None` if some data required to create this chunk is already gone from the catalog.
pub async fn new_querier_chunk(
pub async fn new_querier_parquet_chunk(
&self,
decoded_parquet_file: &DecodedParquetFile,
) -> Option<QuerierChunk> {
) -> Option<QuerierParquetChunk> {
let parquet_file = &decoded_parquet_file.parquet_file;
let chunk = Arc::new(self.new_parquet_chunk(decoded_parquet_file).await?);
let chunk_id = ChunkId::from(Uuid::from_u128(parquet_file.id.get() as _));
@ -285,7 +269,7 @@ impl ParquetChunkAdapter {
max_sequence_number: parquet_file.max_sequence_number,
});
Some(QuerierChunk::new_parquet(
Some(QuerierParquetChunk::new(
parquet_file.id,
chunk,
meta,
@ -295,7 +279,7 @@ impl ParquetChunkAdapter {
}
/// collect data for the given chunk
pub async fn collect_read_filter(chunk: &QuerierChunk) -> Vec<RecordBatch> {
pub async fn collect_read_filter(chunk: &QuerierParquetChunk) -> Vec<RecordBatch> {
chunk
.read_filter(
IOxSessionContext::default(),
@ -355,7 +339,7 @@ pub mod tests {
// create chunk
let chunk = adapter
.new_querier_chunk(&DecodedParquetFile::new(parquet_file))
.new_querier_parquet_chunk(&DecodedParquetFile::new(parquet_file))
.await
.unwrap();

46
querier/src/chunk/query_access.rs
View File

@ -1,4 +1,4 @@
use crate::chunk::{ChunkStorage, QuerierChunk};
use crate::chunk::QuerierParquetChunk;
use data_types::{
ChunkId, ChunkOrder, DeletePredicate, PartitionId, TableSummary, TimestampMinMax,
};
@ -18,17 +18,13 @@ pub enum Error {
},
}
impl QueryChunkMeta for QuerierChunk {
impl QueryChunkMeta for QuerierParquetChunk {
fn summary(&self) -> Option<&TableSummary> {
match &self.storage {
ChunkStorage::Parquet { chunk, .. } => Some(chunk.table_summary().as_ref()),
}
Some(self.parquet_chunk.table_summary().as_ref())
}
fn schema(&self) -> Arc<Schema> {
match &self.storage {
ChunkStorage::Parquet { chunk, .. } => chunk.schema(),
}
self.parquet_chunk.schema()
}
fn partition_sort_key(&self) -> Option<&SortKey> {
@ -52,7 +48,7 @@ impl QueryChunkMeta for QuerierChunk {
}
}
impl QueryChunk for QuerierChunk {
impl QueryChunk for QuerierParquetChunk {
fn id(&self) -> ChunkId {
self.meta().chunk_id
}
@ -62,23 +58,19 @@ impl QueryChunk for QuerierChunk {
}
fn may_contain_pk_duplicates(&self) -> bool {
match &self.storage {
ChunkStorage::Parquet { .. } => false,
}
false
}
fn apply_predicate_to_metadata(
&self,
predicate: &predicate::Predicate,
) -> Result<predicate::PredicateMatch, QueryChunkError> {
let pred_result = match &self.storage {
ChunkStorage::Parquet { chunk, .. } => {
if predicate.has_exprs() || chunk.has_timerange(predicate.range.as_ref()) {
let pred_result = if predicate.has_exprs()
|| self.parquet_chunk.has_timerange(predicate.range.as_ref())
{
PredicateMatch::Unknown
} else {
PredicateMatch::Zero
}
}
};
Ok(pred_result)
@ -90,15 +82,11 @@ impl QueryChunk for QuerierChunk {
predicate: &predicate::Predicate,
columns: schema::selection::Selection<'_>,
) -> Result<Option<iox_query::exec::stringset::StringSet>, QueryChunkError> {
match &self.storage {
ChunkStorage::Parquet { chunk, .. } => {
if !predicate.is_empty() {
// if there is anything in the predicate, bail for now and force a full plan
return Ok(None);
}
Ok(chunk.column_names(columns))
}
}
Ok(self.parquet_chunk.column_names(columns))
}
fn column_values(
@ -107,14 +95,10 @@ impl QueryChunk for QuerierChunk {
_column_name: &str,
_predicate: &predicate::Predicate,
) -> Result<Option<iox_query::exec::stringset::StringSet>, QueryChunkError> {
match &self.storage {
ChunkStorage::Parquet { .. } => {
// Since DataFusion can read Parquet, there is no advantage to
// manually implementing this vs just letting DataFusion do its thing
Ok(None)
}
}
}
fn read_filter(
&self,
@ -134,23 +118,17 @@ impl QueryChunk for QuerierChunk {
pred_with_deleted_exprs.merge_delete_predicates(&delete_predicates);
debug!(?pred_with_deleted_exprs, "Merged negated predicate");
match &self.storage {
ChunkStorage::Parquet { chunk, .. } => {
ctx.set_metadata("predicate", format!("{}", &pred_with_deleted_exprs));
chunk
self.parquet_chunk
.read_filter(&pred_with_deleted_exprs, selection)
.context(ParquetFileChunkSnafu {
chunk_id: self.id(),
})
.map_err(|e| Box::new(e) as _)
}
}
}
fn chunk_type(&self) -> &str {
match &self.storage {
ChunkStorage::Parquet { .. } => "parquet",
}
"parquet"
}
fn order(&self) -> ChunkOrder {

15
querier/src/table/state_reconciler.rs
View File

@ -24,7 +24,7 @@ use std::{
};
use crate::{
chunk::{ParquetChunkAdapter, QuerierChunk},
chunk::{ParquetChunkAdapter, QuerierParquetChunk},
tombstone::QuerierTombstone,
IngesterPartition,
};
@ -115,12 +115,12 @@ impl Reconciler {
"Parquet files after filtering"
);
// convert parquet files and tombstones into QuerierChunks
// convert parquet files and tombstones into QuerierParquetChunks
let mut parquet_chunks = Vec::with_capacity(parquet_files.len());
for parquet_file_with_metadata in parquet_files {
if let Some(chunk) = self
.chunk_adapter
.new_querier_chunk_from_file_with_metadata(parquet_file_with_metadata)
.new_querier_parquet_chunk_from_file_with_metadata(parquet_file_with_metadata)
.await
{
parquet_chunks.push(chunk);
@ -174,12 +174,7 @@ impl Reconciler {
.chunk_adapter
.catalog_cache()
.processed_tombstones()
.exists(
chunk
.parquet_file_id()
.expect("just created from a parquet file"),
tombstone.tombstone_id(),
)
.exists(chunk.parquet_file_id(), tombstone.tombstone_id())
.await
{
continue;
@ -282,7 +277,7 @@ trait UpdatableQuerierChunk: QueryChunk {
fn upcast_to_querier_chunk(self: Box<Self>) -> Box<dyn QueryChunk>;
}
impl UpdatableQuerierChunk for QuerierChunk {
impl UpdatableQuerierChunk for QuerierParquetChunk {
fn update_partition_sort_key(
self: Box<Self>,
sort_key: Arc<Option<SortKey>>,