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4 changes: 4 additions & 0 deletions Cargo.lock

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2 changes: 1 addition & 1 deletion datafusion-examples/Cargo.toml
Original file line number Diff line number Diff line change
Expand Up @@ -60,7 +60,7 @@ futures = { workspace = true }
insta = { workspace = true }
log = { workspace = true }
mimalloc = { version = "0.1", default-features = false }
object_store = { workspace = true, features = ["aws", "http"] }
object_store = { workspace = true, features = ["aws", "fs", "http"] }
prost = { workspace = true }
rand = { workspace = true }
serde = { version = "1", features = ["derive"] }
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1 change: 1 addition & 0 deletions datafusion-examples/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -93,6 +93,7 @@ cargo run --example dataframe -- dataframe
| catalog | [`data_io/catalog.rs`](examples/data_io/catalog.rs) | Register tables into a custom catalog |
| in_memory_object_store | [`data_io/in_memory_object_store.rs`](examples/data_io/in_memory_object_store.rs) | Read CSV from an in-memory object store (pattern applies to JSON/Parquet) |
| json_shredding | [`data_io/json_shredding.rs`](examples/data_io/json_shredding.rs) | Implement filter rewriting for JSON shredding |
| object_store_spill | [`data_io/object_store_spill.rs`](examples/data_io/object_store_spill.rs) | Use ObjectStore-backed spill files |
| parquet_adv_idx | [`data_io/parquet_advanced_index.rs`](examples/data_io/parquet_advanced_index.rs) | Create a secondary index across multiple parquet files |
| parquet_emb_idx | [`data_io/parquet_embedded_index.rs`](examples/data_io/parquet_embedded_index.rs) | Store a custom index inside Parquet files |
| parquet_enc | [`data_io/parquet_encrypted.rs`](examples/data_io/parquet_encrypted.rs) | Read & write encrypted Parquet files |
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10 changes: 9 additions & 1 deletion datafusion-examples/examples/data_io/main.rs
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@
//!
//! ## Usage
//! ```bash
//! cargo run --example data_io -- [all|catalog|in_memory_object_store|json_shredding|parquet_adv_idx|parquet_emb_idx|parquet_enc_with_kms|parquet_enc|parquet_exec_visitor|parquet_idx|query_http_csv|remote_catalog]
//! cargo run --example data_io -- [all|catalog|in_memory_object_store|json_shredding|object_store_spill|parquet_adv_idx|parquet_emb_idx|parquet_enc_with_kms|parquet_enc|parquet_exec_visitor|parquet_idx|query_http_csv|remote_catalog]
//! ```
//!
//! Each subcommand runs a corresponding example:
Expand All @@ -36,6 +36,9 @@
//! - `json_shredding`
//! (file: json_shredding.rs, desc: Implement filter rewriting for JSON shredding)
//!
//! - `object_store_spill`
//! (file: object_store_spill.rs, desc: Use ObjectStore-backed spill files)
//!
//! - `parquet_adv_idx`
//! (file: parquet_advanced_index.rs, desc: Create a secondary index across multiple parquet files)
//!
Expand Down Expand Up @@ -66,6 +69,7 @@
mod catalog;
mod in_memory_object_store;
mod json_shredding;
mod object_store_spill;
mod parquet_advanced_index;
mod parquet_embedded_index;
mod parquet_encrypted;
Expand All @@ -87,6 +91,7 @@ enum ExampleKind {
Catalog,
InMemoryObjectStore,
JsonShredding,
ObjectStoreSpill,
ParquetAdvIdx,
ParquetEmbIdx,
ParquetEnc,
Expand Down Expand Up @@ -118,6 +123,9 @@ impl ExampleKind {
in_memory_object_store::in_memory_object_store().await?
}
ExampleKind::JsonShredding => json_shredding::json_shredding().await?,
ExampleKind::ObjectStoreSpill => {
object_store_spill::object_store_spill().await?
}
ExampleKind::ParquetAdvIdx => {
parquet_advanced_index::parquet_advanced_index().await?
}
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271 changes: 271 additions & 0 deletions datafusion-examples/examples/data_io/object_store_spill.rs
Original file line number Diff line number Diff line change
@@ -0,0 +1,271 @@
// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you 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.

//! See `main.rs` for how to run it.

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This is the whole point of this PR: an example of implementing remote spilling

//!
//! [`object_store_spill`] shows how to use the [`TempFileFactory]` API to configure
//! DataFusion to spill intermediate results to remote storage when it exceeds
//! its memory limits.
use std::future::Future;
use std::io::Write;
use std::path::Path as StdPath;
use std::pin::Pin;
use std::sync::Arc;
use std::sync::atomic::{AtomicU64, Ordering};

use bytes::Bytes;
use datafusion::common::Result;
use datafusion::error::DataFusionError;
use datafusion::execution::disk_manager::DiskManagerBuilder;
use datafusion::execution::runtime_env::RuntimeEnvBuilder;
use datafusion::execution::{SpillFile, SpillWriter, TempFileFactory};
use datafusion::prelude::{SessionConfig, SessionContext};
use futures::{Stream, StreamExt, stream};
use object_store::local::LocalFileSystem;
use object_store::path::Path;
use object_store::{ObjectStore, ObjectStoreExt, PutPayload};
use tempfile::tempdir;

/// Demonstrates configuring DataFusion with spill files backed by an ObjectStore.
pub async fn object_store_spill() -> Result<()> {
// Use LocalFileSystem to simplify running the example. A real system would
// use S3, GCS, Azure, or some other ObjectStore for remote spills.
let tmp_dir = tempdir()?;
let store: Arc<dyn ObjectStore> =
Arc::new(LocalFileSystem::new_with_prefix(tmp_dir.path())?);

// Create the custom TempFileFactory that will create spill files in the ObjectStore.
let temp_file_factory = Arc::new(ObjectStoreTempFileFactory::new(store));
let disk_manager_builder =
DiskManagerBuilder::default().with_temp_file_factory(temp_file_factory.clone());
let runtime = RuntimeEnvBuilder::new()
// Configure DataFusion with the factory
.with_disk_manager_builder(disk_manager_builder)
// and set a small memory limit so the ORDER BY query below spills.
.with_memory_limit(1024 * 1024, 1.0)
.build_arc()?;

// Configure a SessionContext for running queries, with a single partition
// and no sort spill reservation to make the example deterministic and keep
// the spill behavior easy to observe.
let config = SessionConfig::new()
.with_sort_spill_reservation_bytes(0)
.with_sort_in_place_threshold_bytes(0)
.with_target_partitions(1);
let ctx = SessionContext::new_with_config_rt(config, Arc::clone(&runtime));

// Run an SQL query that sorts a large amount of data, and the low memory
// limit forces the sort to spill.
let row_count = 10_000_000;
let mut stream = ctx
.sql(&format!(
"SELECT * FROM generate_series(1, {row_count}) AS t(v) ORDER BY v DESC"
))
.await?
.execute_stream()
.await?;

// Drive the query to completion, and verify output
let mut output_rows = 0;
while let Some(batch) = stream.next().await {
output_rows += batch?.num_rows();
}

assert_eq!(output_rows, row_count as usize);
assert!(
temp_file_factory.created_files() > 0,
"expected the custom TempFileFactory to be used for spilling"
);

Ok(())
}

/// Creates spill files backed by an [`ObjectStore`].
///
/// DataFusion calls this factory whenever an operator needs a new temporary
/// file for spilling. A remote deployment would use the same pattern with an
/// S3, GCS, Azure, or other remote ObjectStore implementation.
struct ObjectStoreTempFileFactory {
/// ObjectStore used for all spill file reads and writes.
store: Arc<dyn ObjectStore>,
/// Monotonic counter used to create unique object paths.
counter: AtomicU64,
/// Counts how many spill files DataFusion requested from this factory.
created_files: AtomicU64,
}

impl ObjectStoreTempFileFactory {
/// Create a new spill file factory that stores spill data in `store`.
fn new(store: Arc<dyn ObjectStore>) -> Self {
Self {
store,
counter: AtomicU64::new(0),
created_files: AtomicU64::new(0),
}
}

/// Return the number of spill files created through this factory.
fn created_files(&self) -> u64 {
self.created_files.load(Ordering::Relaxed)
}
}

// The DataFusion TempFileFactory trait requires unwind-safety. This example
// only stores atomics and an ObjectStore handle, so is unwind safe
impl std::panic::RefUnwindSafe for ObjectStoreTempFileFactory {}
impl std::panic::UnwindSafe for ObjectStoreTempFileFactory {}

impl TempFileFactory for ObjectStoreTempFileFactory {
/// Create one logical spill file at a unique ObjectStore location.
fn create_temp_file(&self, description: &str) -> Result<Arc<dyn SpillFile>> {
let id = self.counter.fetch_add(1, Ordering::Relaxed);
self.created_files.fetch_add(1, Ordering::Relaxed);
let description = sanitize_path_part(description);
let location = Path::from(format!("spill/{description}-{id}.bin"));

// Return a SpillFile implementation that reads and writes this ObjectStore path.
Ok(Arc::new(ObjectStoreSpillFile {
store: Arc::clone(&self.store),
location,
size: Arc::new(AtomicU64::new(0)),
}))
}
}

/// Logical spill file stored at an ObjectStore path.
///
/// DataFusion writes spill data by calling [`SpillFile::open_writer`] and reads
/// it back by calling [`SpillFile::read_stream`].
struct ObjectStoreSpillFile {
/// ObjectStore containing the spill object.
store: Arc<dyn ObjectStore>,
/// ObjectStore path for this spill object.
location: Path,
/// Last committed object size, updated when the writer finishes.
size: Arc<AtomicU64>,
}

impl SpillFile for ObjectStoreSpillFile {
/// Return a local filesystem path when one exists.
fn path(&self) -> Option<&StdPath> {
// Remote ObjectStores do not have a local OS path.
None
}

/// Return the size of the uploaded object
fn size(&self) -> Option<u64> {
// Return the last committed size, which this example tracks after upload.
Some(self.size.load(Ordering::Relaxed))
}

/// Read the spill file contents as an async byte stream.
fn read_stream(&self) -> Result<Pin<Box<dyn Stream<Item = Result<Bytes>> + Send>>> {
// Defer the ObjectStore read until DataFusion polls the returned stream.
let store = Arc::clone(&self.store);
let location = self.location.clone();

Ok(Box::pin(stream::once(async move {
Ok(store.get(&location).await?.bytes().await?)
})))
}

/// Open a synchronous writer for this spill file.
fn open_writer(&self) -> Result<Box<dyn SpillWriter>> {
// Create a writer that buffers bytes and uploads them on finish.
Ok(Box::new(ObjectStoreSpillWriter {
store: Arc::clone(&self.store),
location: self.location.clone(),
size: Arc::clone(&self.size),
buffer: Vec::new(),
}))
}
}

/// Spill writer that adapts DataFusion's synchronous write API to ObjectStore.
///
/// This simple example buffers bytes in memory and uploads them in
/// [`SpillWriter::finish`]. A production remote implementation should consider
/// multipart or streaming uploads.
struct ObjectStoreSpillWriter {
/// ObjectStore that receives the final spill object.
store: Arc<dyn ObjectStore>,
/// ObjectStore path to upload to.
location: Path,
/// Shared size field on the corresponding [`ObjectStoreSpillFile`].
size: Arc<AtomicU64>,
/// Buffered spill bytes waiting to be uploaded.
buffer: Vec<u8>,
}

impl Write for ObjectStoreSpillWriter {
/// Append bytes to the in-memory buffer.
fn write(&mut self, buf: &[u8]) -> std::io::Result<usize> {
// Buffer bytes written through the synchronous Write API.
self.buffer.extend_from_slice(buf);
Ok(buf.len())
}

/// No-op because data is committed in [`SpillWriter::finish`].
fn flush(&mut self) -> std::io::Result<()> {
Ok(())
}
}

impl SpillWriter for ObjectStoreSpillWriter {
/// Upload buffered bytes to ObjectStore and mark the spill file complete.
fn finish(&mut self) -> Result<()> {
// Move the buffered bytes into the upload future.
let store = Arc::clone(&self.store);
let location = self.location.clone();
let data = std::mem::take(&mut self.buffer);
let size = data.len() as u64;

// This simple example buffers the spill and uploads it on finish.
// Production remote stores should consider multipart or streaming uploads.
block_on_object_store(async move {
store
.put(&location, PutPayload::from_bytes(data.into()))
.await?;
Ok(())
})?;

self.size.store(size, Ordering::Relaxed);
Ok(())
}
}

/// Run an async ObjectStore operation from DataFusion's synchronous spill API.
/// TODO remove this
fn block_on_object_store<T>(future: impl Future<Output = Result<T>>) -> Result<T> {
if let Ok(handle) = tokio::runtime::Handle::try_current() {
tokio::task::block_in_place(|| handle.block_on(future))
} else {
tokio::runtime::Runtime::new()
.map_err(DataFusionError::IoError)?
.block_on(future)
}
}

/// Convert a query-provided spill description into an ObjectStore-safe path component.
///
/// For example, `"Sort Spill: partition 0"` becomes `"Sort_Spill__partition_0"`.
fn sanitize_path_part(value: &str) -> String {
value
.chars()
.map(|c| if c.is_ascii_alphanumeric() { c } else { '_' })
.collect()
}
5 changes: 5 additions & 0 deletions datafusion/execution/Cargo.toml
Original file line number Diff line number Diff line change
Expand Up @@ -55,6 +55,7 @@ sql = []
arrow = { workspace = true }
arrow-buffer = { workspace = true }
async-trait = { workspace = true }
bytes = { workspace = true }
dashmap = { workspace = true }
datafusion-common = { workspace = true, default-features = false }
datafusion-expr = { workspace = true, default-features = false }
Expand All @@ -66,7 +67,11 @@ parking_lot = { workspace = true }
parquet = { workspace = true, optional = true }
rand = { workspace = true }
tempfile = { workspace = true }
tokio = { workspace = true }
tokio-util = { workspace = true, features = ["io"] }
url = { workspace = true }
[target.'cfg(not(target_arch = "wasm32"))'.dependencies]
tokio = { workspace = true, features = ["fs"] }

[dev-dependencies]
chrono = { workspace = true }
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