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// 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.
//! Simple iterator over batches for use in testing
use std::{
any::Any,
pin::Pin,
sync::{Arc, Weak},
task::{Context, Poll},
};
use crate::stream::{RecordBatchReceiverStream, RecordBatchStreamAdapter};
use crate::{
common, DisplayAs, DisplayFormatType, ExecutionMode, ExecutionPlan, Partitioning,
PlanProperties, RecordBatchStream, SendableRecordBatchStream, Statistics,
};
use arrow::datatypes::{DataType, Field, Schema, SchemaRef};
use arrow::record_batch::RecordBatch;
use datafusion_common::{internal_err, DataFusionError, Result};
use datafusion_execution::TaskContext;
use datafusion_physical_expr::EquivalenceProperties;
use futures::Stream;
use tokio::sync::Barrier;
/// Index into the data that has been returned so far
#[derive(Debug, Default, Clone)]
pub struct BatchIndex {
inner: Arc<std::sync::Mutex<usize>>,
}
impl BatchIndex {
/// Return the current index
pub fn value(&self) -> usize {
let inner = self.inner.lock().unwrap();
*inner
}
// increment the current index by one
pub fn incr(&self) {
let mut inner = self.inner.lock().unwrap();
*inner += 1;
}
}
/// Iterator over batches
#[derive(Debug, Default)]
pub struct TestStream {
/// Vector of record batches
data: Vec<RecordBatch>,
/// Index into the data that has been returned so far
index: BatchIndex,
}
impl TestStream {
/// Create an iterator for a vector of record batches. Assumes at
/// least one entry in data (for the schema)
pub fn new(data: Vec<RecordBatch>) -> Self {
Self {
data,
..Default::default()
}
}
/// Return a handle to the index counter for this stream
pub fn index(&self) -> BatchIndex {
self.index.clone()
}
}
impl Stream for TestStream {
type Item = Result<RecordBatch>;
fn poll_next(self: Pin<&mut Self>, _: &mut Context<'_>) -> Poll<Option<Self::Item>> {
let next_batch = self.index.value();
Poll::Ready(if next_batch < self.data.len() {
let next_batch = self.index.value();
self.index.incr();
Some(Ok(self.data[next_batch].clone()))
} else {
None
})
}
fn size_hint(&self) -> (usize, Option<usize>) {
(self.data.len(), Some(self.data.len()))
}
}
impl RecordBatchStream for TestStream {
/// Get the schema
fn schema(&self) -> SchemaRef {
self.data[0].schema()
}
}
/// A Mock ExecutionPlan that can be used for writing tests of other
/// ExecutionPlans
#[derive(Debug)]
pub struct MockExec {
/// the results to send back
data: Vec<Result<RecordBatch>>,
schema: SchemaRef,
/// if true (the default), sends data using a separate task to ensure the
/// batches are not available without this stream yielding first
use_task: bool,
cache: PlanProperties,
}
impl MockExec {
/// Create a new `MockExec` with a single partition that returns
/// the specified `Results`s.
///
/// By default, the batches are not produced immediately (the
/// caller has to actually yield and another task must run) to
/// ensure any poll loops are correct. This behavior can be
/// changed with `with_use_task`
pub fn new(data: Vec<Result<RecordBatch>>, schema: SchemaRef) -> Self {
let cache = Self::compute_properties(schema.clone());
Self {
data,
schema,
use_task: true,
cache,
}
}
/// If `use_task` is true (the default) then the batches are sent
/// back using a separate task to ensure the underlying stream is
/// not immediately ready
pub fn with_use_task(mut self, use_task: bool) -> Self {
self.use_task = use_task;
self
}
/// This function creates the cache object that stores the plan properties such as schema, equivalence properties, ordering, partitioning, etc.
fn compute_properties(schema: SchemaRef) -> PlanProperties {
let eq_properties = EquivalenceProperties::new(schema);
PlanProperties::new(
eq_properties,
Partitioning::UnknownPartitioning(1),
ExecutionMode::Bounded,
)
}
}
impl DisplayAs for MockExec {
fn fmt_as(
&self,
t: DisplayFormatType,
f: &mut std::fmt::Formatter,
) -> std::fmt::Result {
match t {
DisplayFormatType::Default | DisplayFormatType::Verbose => {
write!(f, "MockExec")
}
}
}
}
impl ExecutionPlan for MockExec {
fn as_any(&self) -> &dyn Any {
self
}
fn properties(&self) -> &PlanProperties {
&self.cache
}
fn children(&self) -> Vec<Arc<dyn ExecutionPlan>> {
vec![]
}
fn with_new_children(
self: Arc<Self>,
_: Vec<Arc<dyn ExecutionPlan>>,
) -> Result<Arc<dyn ExecutionPlan>> {
unimplemented!()
}
/// Returns a stream which yields data
fn execute(
&self,
partition: usize,
_context: Arc<TaskContext>,
) -> Result<SendableRecordBatchStream> {
assert_eq!(partition, 0);
// Result doesn't implement clone, so do it ourself
let data: Vec<_> = self
.data
.iter()
.map(|r| match r {
Ok(batch) => Ok(batch.clone()),
Err(e) => Err(clone_error(e)),
})
.collect();
if self.use_task {
let mut builder = RecordBatchReceiverStream::builder(self.schema(), 2);
// send data in order but in a separate task (to ensure
// the batches are not available without the stream
// yielding).
let tx = builder.tx();
builder.spawn(async move {
for batch in data {
println!("Sending batch via delayed stream");
if let Err(e) = tx.send(batch).await {
println!("ERROR batch via delayed stream: {e}");
}
}
Ok(())
});
// returned stream simply reads off the rx stream
Ok(builder.build())
} else {
// make an input that will error
let stream = futures::stream::iter(data);
Ok(Box::pin(RecordBatchStreamAdapter::new(
self.schema(),
stream,
)))
}
}
// Panics if one of the batches is an error
fn statistics(&self) -> Result<Statistics> {
let data: Result<Vec<_>> = self
.data
.iter()
.map(|r| match r {
Ok(batch) => Ok(batch.clone()),
Err(e) => Err(clone_error(e)),
})
.collect();
let data = data?;
Ok(common::compute_record_batch_statistics(
&[data],
&self.schema,
None,
))
}
}
fn clone_error(e: &DataFusionError) -> DataFusionError {
use DataFusionError::*;
match e {
Execution(msg) => Execution(msg.to_string()),
_ => unimplemented!(),
}
}
/// A Mock ExecutionPlan that does not start producing input until a
/// barrier is called
///
#[derive(Debug)]
pub struct BarrierExec {
/// partitions to send back
data: Vec<Vec<RecordBatch>>,
schema: SchemaRef,
/// all streams wait on this barrier to produce
barrier: Arc<Barrier>,
cache: PlanProperties,
}
impl BarrierExec {
/// Create a new exec with some number of partitions.
pub fn new(data: Vec<Vec<RecordBatch>>, schema: SchemaRef) -> Self {
// wait for all streams and the input
let barrier = Arc::new(Barrier::new(data.len() + 1));
let cache = Self::compute_properties(schema.clone(), &data);
Self {
data,
schema,
barrier,
cache,
}
}
/// wait until all the input streams and this function is ready
pub async fn wait(&self) {
println!("BarrierExec::wait waiting on barrier");
self.barrier.wait().await;
println!("BarrierExec::wait done waiting");
}
/// This function creates the cache object that stores the plan properties such as schema, equivalence properties, ordering, partitioning, etc.
fn compute_properties(
schema: SchemaRef,
data: &[Vec<RecordBatch>],
) -> PlanProperties {
let eq_properties = EquivalenceProperties::new(schema);
PlanProperties::new(
eq_properties,
Partitioning::UnknownPartitioning(data.len()),
ExecutionMode::Bounded,
)
}
}
impl DisplayAs for BarrierExec {
fn fmt_as(
&self,
t: DisplayFormatType,
f: &mut std::fmt::Formatter,
) -> std::fmt::Result {
match t {
DisplayFormatType::Default | DisplayFormatType::Verbose => {
write!(f, "BarrierExec")
}
}
}
}
impl ExecutionPlan for BarrierExec {
fn as_any(&self) -> &dyn Any {
self
}
fn properties(&self) -> &PlanProperties {
&self.cache
}
fn children(&self) -> Vec<Arc<dyn ExecutionPlan>> {
unimplemented!()
}
fn with_new_children(
self: Arc<Self>,
_: Vec<Arc<dyn ExecutionPlan>>,
) -> Result<Arc<dyn ExecutionPlan>> {
unimplemented!()
}
/// Returns a stream which yields data
fn execute(
&self,
partition: usize,
_context: Arc<TaskContext>,
) -> Result<SendableRecordBatchStream> {
assert!(partition < self.data.len());
let mut builder = RecordBatchReceiverStream::builder(self.schema(), 2);
// task simply sends data in order after barrier is reached
let data = self.data[partition].clone();
let b = self.barrier.clone();
let tx = builder.tx();
builder.spawn(async move {
println!("Partition {partition} waiting on barrier");
b.wait().await;
for batch in data {
println!("Partition {partition} sending batch");
if let Err(e) = tx.send(Ok(batch)).await {
println!("ERROR batch via barrier stream stream: {e}");
}
}
Ok(())
});
// returned stream simply reads off the rx stream
Ok(builder.build())
}
fn statistics(&self) -> Result<Statistics> {
Ok(common::compute_record_batch_statistics(
&self.data,
&self.schema,
None,
))
}
}
/// A mock execution plan that errors on a call to execute
#[derive(Debug)]
pub struct ErrorExec {
cache: PlanProperties,
}
impl Default for ErrorExec {
fn default() -> Self {
Self::new()
}
}
impl ErrorExec {
pub fn new() -> Self {
let schema = Arc::new(Schema::new(vec![Field::new(
"dummy",
DataType::Int64,
true,
)]));
let cache = Self::compute_properties(schema.clone());
Self { cache }
}
/// This function creates the cache object that stores the plan properties such as schema, equivalence properties, ordering, partitioning, etc.
fn compute_properties(schema: SchemaRef) -> PlanProperties {
let eq_properties = EquivalenceProperties::new(schema);
PlanProperties::new(
eq_properties,
Partitioning::UnknownPartitioning(1),
ExecutionMode::Bounded,
)
}
}
impl DisplayAs for ErrorExec {
fn fmt_as(
&self,
t: DisplayFormatType,
f: &mut std::fmt::Formatter,
) -> std::fmt::Result {
match t {
DisplayFormatType::Default | DisplayFormatType::Verbose => {
write!(f, "ErrorExec")
}
}
}
}
impl ExecutionPlan for ErrorExec {
fn as_any(&self) -> &dyn Any {
self
}
fn properties(&self) -> &PlanProperties {
&self.cache
}
fn children(&self) -> Vec<Arc<dyn ExecutionPlan>> {
unimplemented!()
}
fn with_new_children(
self: Arc<Self>,
_: Vec<Arc<dyn ExecutionPlan>>,
) -> Result<Arc<dyn ExecutionPlan>> {
unimplemented!()
}
/// Returns a stream which yields data
fn execute(
&self,
partition: usize,
_context: Arc<TaskContext>,
) -> Result<SendableRecordBatchStream> {
internal_err!("ErrorExec, unsurprisingly, errored in partition {partition}")
}
}
/// A mock execution plan that simply returns the provided statistics
#[derive(Debug, Clone)]
pub struct StatisticsExec {
stats: Statistics,
schema: Arc<Schema>,
cache: PlanProperties,
}
impl StatisticsExec {
pub fn new(stats: Statistics, schema: Schema) -> Self {
assert_eq!(
stats
.column_statistics.len(), schema.fields().len(),
"if defined, the column statistics vector length should be the number of fields"
);
let cache = Self::compute_properties(Arc::new(schema.clone()));
Self {
stats,
schema: Arc::new(schema),
cache,
}
}
/// This function creates the cache object that stores the plan properties such as schema, equivalence properties, ordering, partitioning, etc.
fn compute_properties(schema: SchemaRef) -> PlanProperties {
let eq_properties = EquivalenceProperties::new(schema);
PlanProperties::new(
eq_properties,
Partitioning::UnknownPartitioning(2),
ExecutionMode::Bounded,
)
}
}
impl DisplayAs for StatisticsExec {
fn fmt_as(
&self,
t: DisplayFormatType,
f: &mut std::fmt::Formatter,
) -> std::fmt::Result {
match t {
DisplayFormatType::Default | DisplayFormatType::Verbose => {
write!(
f,
"StatisticsExec: col_count={}, row_count={:?}",
self.schema.fields().len(),
self.stats.num_rows,
)
}
}
}
}
impl ExecutionPlan for StatisticsExec {
fn as_any(&self) -> &dyn Any {
self
}
fn properties(&self) -> &PlanProperties {
&self.cache
}
fn children(&self) -> Vec<Arc<dyn ExecutionPlan>> {
vec![]
}
fn with_new_children(
self: Arc<Self>,
_: Vec<Arc<dyn ExecutionPlan>>,
) -> Result<Arc<dyn ExecutionPlan>> {
Ok(self)
}
fn execute(
&self,
_partition: usize,
_context: Arc<TaskContext>,
) -> Result<SendableRecordBatchStream> {
unimplemented!("This plan only serves for testing statistics")
}
fn statistics(&self) -> Result<Statistics> {
Ok(self.stats.clone())
}
}
/// Execution plan that emits streams that block forever.
///
/// This is useful to test shutdown / cancelation behavior of certain execution plans.
#[derive(Debug)]
pub struct BlockingExec {
/// Schema that is mocked by this plan.
schema: SchemaRef,
/// Ref-counting helper to check if the plan and the produced stream are still in memory.
refs: Arc<()>,
cache: PlanProperties,
}
impl BlockingExec {
/// Create new [`BlockingExec`] with a give schema and number of partitions.
pub fn new(schema: SchemaRef, n_partitions: usize) -> Self {
let cache = Self::compute_properties(schema.clone(), n_partitions);
Self {
schema,
refs: Default::default(),
cache,
}
}
/// Weak pointer that can be used for ref-counting this execution plan and its streams.
///
/// Use [`Weak::strong_count`] to determine if the plan itself and its streams are dropped (should be 0 in that
/// case). Note that tokio might take some time to cancel spawned tasks, so you need to wrap this check into a retry
/// loop. Use [`assert_strong_count_converges_to_zero`] to archive this.
pub fn refs(&self) -> Weak<()> {
Arc::downgrade(&self.refs)
}
/// This function creates the cache object that stores the plan properties such as schema, equivalence properties, ordering, partitioning, etc.
fn compute_properties(schema: SchemaRef, n_partitions: usize) -> PlanProperties {
let eq_properties = EquivalenceProperties::new(schema);
PlanProperties::new(
eq_properties,
Partitioning::UnknownPartitioning(n_partitions),
ExecutionMode::Bounded,
)
}
}
impl DisplayAs for BlockingExec {
fn fmt_as(
&self,
t: DisplayFormatType,
f: &mut std::fmt::Formatter,
) -> std::fmt::Result {
match t {
DisplayFormatType::Default | DisplayFormatType::Verbose => {
write!(f, "BlockingExec",)
}
}
}
}
impl ExecutionPlan for BlockingExec {
fn as_any(&self) -> &dyn Any {
self
}
fn properties(&self) -> &PlanProperties {
&self.cache
}
fn children(&self) -> Vec<Arc<dyn ExecutionPlan>> {
// this is a leaf node and has no children
vec![]
}
fn with_new_children(
self: Arc<Self>,
_: Vec<Arc<dyn ExecutionPlan>>,
) -> Result<Arc<dyn ExecutionPlan>> {
internal_err!("Children cannot be replaced in {self:?}")
}
fn execute(
&self,
_partition: usize,
_context: Arc<TaskContext>,
) -> Result<SendableRecordBatchStream> {
Ok(Box::pin(BlockingStream {
schema: Arc::clone(&self.schema),
_refs: Arc::clone(&self.refs),
}))
}
}
/// A [`RecordBatchStream`] that is pending forever.
#[derive(Debug)]
pub struct BlockingStream {
/// Schema mocked by this stream.
schema: SchemaRef,
/// Ref-counting helper to check if the stream are still in memory.
_refs: Arc<()>,
}
impl Stream for BlockingStream {
type Item = Result<RecordBatch>;
fn poll_next(
self: Pin<&mut Self>,
_cx: &mut Context<'_>,
) -> Poll<Option<Self::Item>> {
Poll::Pending
}
}
impl RecordBatchStream for BlockingStream {
fn schema(&self) -> SchemaRef {
Arc::clone(&self.schema)
}
}
/// Asserts that the strong count of the given [`Weak`] pointer converges to zero.
///
/// This might take a while but has a timeout.
pub async fn assert_strong_count_converges_to_zero<T>(refs: Weak<T>) {
tokio::time::timeout(std::time::Duration::from_secs(10), async {
loop {
if dbg!(Weak::strong_count(&refs)) == 0 {
break;
}
tokio::time::sleep(std::time::Duration::from_millis(10)).await;
}
})
.await
.unwrap();
}
///
/// Execution plan that emits streams that panics.
///
/// This is useful to test panic handling of certain execution plans.
#[derive(Debug)]
pub struct PanicExec {
/// Schema that is mocked by this plan.
schema: SchemaRef,
/// Number of output partitions. Each partition will produce this
/// many empty output record batches prior to panicing
batches_until_panics: Vec<usize>,
cache: PlanProperties,
}
impl PanicExec {
/// Create new [`PanicExec`] with a give schema and number of
/// partitions, which will each panic immediately.
pub fn new(schema: SchemaRef, n_partitions: usize) -> Self {
let batches_until_panics = vec![0; n_partitions];
let cache = Self::compute_properties(schema.clone(), &batches_until_panics);
Self {
schema,
batches_until_panics,
cache,
}
}
/// Set the number of batches prior to panic for a partition
pub fn with_partition_panic(mut self, partition: usize, count: usize) -> Self {
self.batches_until_panics[partition] = count;
self
}
/// This function creates the cache object that stores the plan properties such as schema, equivalence properties, ordering, partitioning, etc.
fn compute_properties(
schema: SchemaRef,
batches_until_panics: &[usize],
) -> PlanProperties {
let eq_properties = EquivalenceProperties::new(schema);
let num_partitions = batches_until_panics.len();
PlanProperties::new(
eq_properties,
Partitioning::UnknownPartitioning(num_partitions),
ExecutionMode::Bounded,
)
}
}
impl DisplayAs for PanicExec {
fn fmt_as(
&self,
t: DisplayFormatType,
f: &mut std::fmt::Formatter,
) -> std::fmt::Result {
match t {
DisplayFormatType::Default | DisplayFormatType::Verbose => {
write!(f, "PanicExec",)
}
}
}
}
impl ExecutionPlan for PanicExec {
fn as_any(&self) -> &dyn Any {
self
}
fn properties(&self) -> &PlanProperties {
&self.cache
}
fn children(&self) -> Vec<Arc<dyn ExecutionPlan>> {
// this is a leaf node and has no children
vec![]
}
fn with_new_children(
self: Arc<Self>,
_: Vec<Arc<dyn ExecutionPlan>>,
) -> Result<Arc<dyn ExecutionPlan>> {
internal_err!("Children cannot be replaced in {:?}", self)
}
fn execute(
&self,
partition: usize,
_context: Arc<TaskContext>,
) -> Result<SendableRecordBatchStream> {
Ok(Box::pin(PanicStream {
partition,
batches_until_panic: self.batches_until_panics[partition],
schema: Arc::clone(&self.schema),
ready: false,
}))
}
}
/// A [`RecordBatchStream`] that yields every other batch and panics
/// after `batches_until_panic` batches have been produced.
///
/// Useful for testing the behavior of streams on panic
#[derive(Debug)]
struct PanicStream {
/// Which partition was this
partition: usize,
/// How may batches will be produced until panic
batches_until_panic: usize,
/// Schema mocked by this stream.
schema: SchemaRef,
/// Should we return ready ?
ready: bool,
}
impl Stream for PanicStream {
type Item = Result<RecordBatch>;
fn poll_next(
mut self: Pin<&mut Self>,
cx: &mut Context<'_>,
) -> Poll<Option<Self::Item>> {
if self.batches_until_panic > 0 {
if self.ready {
self.batches_until_panic -= 1;
self.ready = false;
let batch = RecordBatch::new_empty(self.schema.clone());
return Poll::Ready(Some(Ok(batch)));
} else {
self.ready = true;
// get called again
cx.waker().wake_by_ref();
return Poll::Pending;
}
}
panic!("PanickingStream did panic: {}", self.partition)
}
}
impl RecordBatchStream for PanicStream {
fn schema(&self) -> SchemaRef {
Arc::clone(&self.schema)
}
}