apollo-router 2.13.1

A configurable, high-performance routing runtime for Apollo Federation 🚀
Documentation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
mod metrics;

use std::future::Future;
use std::ops::ControlFlow;
use std::sync::Arc;
use std::sync::OnceLock;
use std::sync::atomic::AtomicBool;
use std::sync::atomic::Ordering;
use std::time::Instant;

use opentelemetry::metrics::MeterProvider as _;
use opentelemetry::metrics::ObservableGauge;
use tokio::sync::oneshot;
use tokio::task_local;
use tracing::Instrument;
use tracing::Span;
use tracing::info_span;
use tracing_core::Dispatch;
use tracing_subscriber::util::SubscriberInitExt;

use self::metrics::JobWatcher;
use self::metrics::Outcome;
use self::metrics::observe_compute_duration;
use self::metrics::observe_queue_wait_duration;
use crate::ageing_priority_queue::AgeingPriorityQueue;
use crate::ageing_priority_queue::Priority;
use crate::ageing_priority_queue::SendError;
use crate::metrics::meter_provider;
use crate::plugins::telemetry::consts::COMPUTE_JOB_EXECUTION_SPAN_NAME;
use crate::plugins::telemetry::consts::COMPUTE_JOB_SPAN_NAME;

/// We generate backpressure in tower `poll_ready` when the number of queued jobs
/// reaches `QUEUE_SOFT_CAPACITY_PER_THREAD * thread_pool_size()`
///
/// This number is somewhat arbitrary and subject to change. Most compute jobs
/// don't take a long time, so by making the queue quite big, it's capable of eating
/// a sizable backlog during spikes.
const QUEUE_SOFT_CAPACITY_PER_THREAD: usize = 1_000;

/// By default, let this thread pool use all available resources if it can.
/// In the worst case, we’ll have moderate context switching cost
/// as the kernel’s scheduler distributes time to it or Tokio or other threads.
fn thread_pool_size() -> usize {
    // This environment variable is intentionally undocumented.
    if let Some(threads) = std::env::var("APOLLO_ROUTER_COMPUTE_THREADS")
        .ok()
        .and_then(|value| value.parse::<usize>().ok())
    {
        threads
    } else {
        std::thread::available_parallelism()
            .expect("available_parallelism() failed")
            .get()
    }
}

pub(crate) struct JobStatus<'a, T> {
    result_sender: &'a oneshot::Sender<std::thread::Result<T>>,
    cancelled: Option<Arc<AtomicBool>>,
}

impl<T> JobStatus<'_, T> {
    /// Checks whether the oneshot receiver for the result of the job was dropped,
    /// which means nothing is expecting the result anymore.
    ///
    /// This can happen if the Tokio task owning it is cancelled,
    /// such as if a supergraph client disconnects or if a request times out.
    ///
    /// In this case, a long-running job should try to cancel itself
    /// to avoid needless resource consumption.
    pub(crate) fn check_for_cooperative_cancellation(&self) -> ControlFlow<()> {
        if self.result_sender.is_closed()
            || self
                .cancelled
                .as_ref()
                .map(|c| c.load(Ordering::Relaxed))
                .unwrap_or(false)
        {
            ControlFlow::Break(())
        } else {
            ControlFlow::Continue(())
        }
    }
}

/// Compute job queue is full
#[derive(thiserror::Error, Debug, displaydoc::Display, Clone)]
pub(crate) struct ComputeBackPressureError;

#[derive(Debug)]
pub(crate) enum MaybeBackPressureError<E> {
    /// Doing the same request again later would result in the same error (e.g. invalid query).
    ///
    /// This error can be cached.
    PermanentError(E),

    /// Doing the same request again later might work.
    ///
    /// This error must not be cached.
    TemporaryError(ComputeBackPressureError),
}

impl<E> From<E> for MaybeBackPressureError<E> {
    fn from(error: E) -> Self {
        Self::PermanentError(error)
    }
}

impl ComputeBackPressureError {
    pub(crate) fn to_graphql_error(&self) -> crate::graphql::Error {
        crate::graphql::Error::builder()
            .message("Your request has been concurrency limited during query processing")
            .extension_code("REQUEST_CONCURRENCY_LIMITED")
            .build()
    }
}

impl crate::graphql::IntoGraphQLErrors for ComputeBackPressureError {
    fn into_graphql_errors(self) -> Result<Vec<crate::graphql::Error>, Self> {
        Ok(vec![self.to_graphql_error()])
    }
}

#[derive(Copy, Clone, Hash, Eq, PartialEq, Debug, strum::IntoStaticStr)]
#[strum(serialize_all = "snake_case")]
pub(crate) enum ComputeJobType {
    QueryParsing,
    QueryPlanning,
    Introspection,
    QueryParsingWarmup,
    QueryPlanningWarmup,
}

impl From<ComputeJobType> for Priority {
    fn from(job_type: ComputeJobType) -> Self {
        match job_type {
            ComputeJobType::QueryPlanning => Self::P8,       // high
            ComputeJobType::QueryParsing => Self::P4,        // medium
            ComputeJobType::Introspection => Self::P3,       // low
            ComputeJobType::QueryParsingWarmup => Self::P1,  // low
            ComputeJobType::QueryPlanningWarmup => Self::P2, // low
        }
    }
}

impl From<ComputeJobType> for opentelemetry::Value {
    fn from(compute_job_type: ComputeJobType) -> Self {
        let s: &'static str = compute_job_type.into();
        s.into()
    }
}

pub(crate) struct Job {
    subscriber: Dispatch,
    parent_span: Span,
    ty: ComputeJobType,
    queue_start: Instant,
    job_fn: Box<dyn FnOnce() + Send + 'static>,
    allocation_stats: Option<std::sync::Arc<crate::allocator::AllocationStats>>,
}

pub(crate) fn queue() -> &'static AgeingPriorityQueue<Job> {
    static QUEUE: OnceLock<AgeingPriorityQueue<Job>> = OnceLock::new();
    QUEUE.get_or_init(|| {
        let pool_size = thread_pool_size();
        for _ in 0..pool_size {
            std::thread::spawn(|| {
                // This looks like we need the queue before creating the queue,
                // but it happens in a child thread where OnceLock will block
                // until `get_or_init` in the parent thread is finished
                // and the parent is *not* blocked on the child thread making progress.
                let queue = queue();

                let mut receiver = queue.receiver();
                loop {
                    let (job, age) = receiver.blocking_recv();
                    let job_type: &'static str = job.ty.into();
                    let age: &'static str = age.into();
                    let _subscriber = job.subscriber.set_default();
                    job.parent_span.in_scope(|| {
                        let span = info_span!(
                            COMPUTE_JOB_EXECUTION_SPAN_NAME,
                            "job.type" = job_type,
                            "job.age" = age
                        );
                        span.in_scope(|| {
                            observe_queue_wait_duration(job.ty, job.queue_start.elapsed());

                            let _active_metric = i64_up_down_counter_with_unit!(
                                "apollo.router.compute_jobs.active_jobs",
                                "Number of computation jobs in progress",
                                "{job}",
                                1,
                                job.type = job.ty
                            );
                            let job_start = Instant::now();

                            // Execute job with memory tracking if stats are available
                            if let Some(stats) = job.allocation_stats {
                                // Create a child context with the job type as the name
                                let job_name: &'static str = job.ty.into();
                                crate::allocator::with_parented_memory_tracking(
                                    job_name,
                                    stats,
                                    || {
                                        (job.job_fn)();
                                        #[cfg(all(
                                            feature = "global-allocator",
                                            not(feature = "dhat-heap"),
                                            unix
                                        ))]
                                        if let Some(allocation_stats) = crate::allocator::current()
                                        {
                                            record_metrics(&allocation_stats);
                                        }
                                    },
                                );
                            } else {
                                (job.job_fn)();
                            }
                            observe_compute_duration(job.ty, job_start.elapsed());
                        })
                    });
                }
            });
        }
        tracing::info!(
            threads = pool_size,
            queue_capacity = QUEUE_SOFT_CAPACITY_PER_THREAD * pool_size,
            "compute job thread pool created",
        );
        AgeingPriorityQueue::bounded(QUEUE_SOFT_CAPACITY_PER_THREAD * pool_size)
    })
}

#[cfg(all(feature = "global-allocator", not(feature = "dhat-heap"), unix))]
fn record_metrics(stats: &crate::allocator::AllocationStats) {
    let bytes_allocated = stats.bytes_allocated() as u64;
    let bytes_deallocated = stats.bytes_deallocated() as u64;
    let bytes_zeroed = stats.bytes_zeroed() as u64;
    let bytes_reallocated = stats.bytes_reallocated() as u64;
    let context_name = stats.name();

    // Record total bytes allocated
    u64_histogram_with_unit!(
        "apollo.router.query_planner.memory",
        "Memory allocated during query planning",
        "By",
        bytes_allocated,
        allocation.type = "allocated",
        context = context_name
    );

    // Record bytes deallocated
    u64_histogram_with_unit!(
        "apollo.router.query_planner.memory",
        "Memory allocated during query planning",
        "By",
        bytes_deallocated,
        allocation.type = "deallocated",
        context = context_name
    );

    // Record bytes zeroed
    u64_histogram_with_unit!(
        "apollo.router.query_planner.memory",
        "Memory allocated during query planning",
        "By",
        bytes_zeroed,
        allocation.type = "zeroed",
        context = context_name
    );

    // Record bytes reallocated
    u64_histogram_with_unit!(
        "apollo.router.query_planner.memory",
        "Memory allocated during query planning",
        "By",
        bytes_reallocated,
        allocation.type = "reallocated",
        context = context_name
    );
}

task_local! {
    /// This can be set to true from a parent task to cancel a child compute job.
    pub(crate) static CANCEL_JOB: Option<Arc<AtomicBool>>;
}

/// Returns a future that resolves to a `Result` that is `Ok` if `f` returned or `Err` if it panicked.
pub(crate) fn execute<T, F>(
    compute_job_type: ComputeJobType,
    job: F,
) -> Result<impl Future<Output = T>, ComputeBackPressureError>
where
    F: FnOnce(JobStatus<'_, T>) -> T + Send + 'static,
    T: Send + 'static,
{
    let compute_job_type_str: &'static str = compute_job_type.into();
    let span = info_span!(
        COMPUTE_JOB_SPAN_NAME,
        "job.type" = compute_job_type_str,
        "job.outcome" = tracing::field::Empty
    );
    span.in_scope(|| {
        let mut job_watcher = JobWatcher::new(compute_job_type);
        let (tx, rx) = oneshot::channel();
        // Since the compute job runs in a separate thread, we retrieve the cancellation flag task local storage
        // and pass it into the status.
        let cancelled = CANCEL_JOB.try_with(|b| b.clone()).ok().flatten();
        let wrapped_job_fn = Box::new(move || {
            let status = JobStatus {
                result_sender: &tx,
                cancelled,
            };
            // `AssertUnwindSafe` here is correct because this `catch_unwind`
            // is paired with `resume_unwind` below, so the overall effect on unwind safety
            // is the same as if the caller had executed `job` directly without a thread pool.
            let result =
                std::panic::catch_unwind(std::panic::AssertUnwindSafe(move || job(status)));
            match tx.send(result) {
                Ok(()) => {}
                Err(_) => {
                    // `rx` was dropped: `result` is no longer needed and we can safely drop it
                }
            }
        });

        let queue = queue();
        let job = Job {
            subscriber: Dispatch::default(),
            parent_span: Span::current(),
            ty: compute_job_type,
            job_fn: wrapped_job_fn,
            queue_start: Instant::now(),
            allocation_stats: crate::allocator::current(),
        };

        queue
            .send(Priority::from(compute_job_type), job)
            .map_err(|e| match e {
                SendError::QueueIsFull => {
                    u64_counter!(
                        "apollo.router.compute_jobs.queue_is_full",
                        "Number of requests rejected because the queue for compute jobs is full",
                        1u64
                    );
                    job_watcher.outcome = Outcome::RejectedQueueFull;
                    ComputeBackPressureError
                }
                SendError::Disconnected => {
                    // This never panics because this channel can never be disconnect:
                    // the receiver is owned by `queue` which we can access here:
                    let _proof_of_life: &'static AgeingPriorityQueue<_> = queue;
                    unreachable!("compute thread pool queue is disconnected")
                }
            })?;

        Ok(async move {
            let result = rx.await;

            // This local variable MUST exist. Otherwise, only the field from the JobWatcher struct is moved and drop will occur before the outcome is set.
            // This is predicated on all the fields in the struct being Copy!!!
            let mut local_job_watcher = job_watcher;
            local_job_watcher.outcome = match &result {
                Ok(Ok(_)) => Outcome::ExecutedOk,
                // We don't know what the cardinality of errors are so we just say there was a response error
                Ok(Err(_)) => Outcome::ExecutedError,
                // We got an error reading the response from the channel
                Err(_) => Outcome::ChannelError,
            };

            match result {
                Ok(Ok(value)) => value,
                Ok(Err(panic_payload)) => {
                    // The `job` callback panicked.
                    //
                    // We try to to avoid this (by returning errors instead) and consider this a bug.
                    // But if it does happen, propagating the panic to the caller from here
                    // has the same effect as if they had executed `job` directly
                    // without a thread pool.
                    //
                    // Additionally we have a panic handler in `apollo-router/src/executable.rs`
                    // that exits the process,
                    // so in practice a Router thread should never start unwinding
                    // an this code path should be unreachable.
                    std::panic::resume_unwind(panic_payload)
                }
                Err(e) => {
                    let _: tokio::sync::oneshot::error::RecvError = e;
                    // This should never happen because this oneshot channel can never be disconnect:
                    // the sender is owned by `job` which, if we reach here,
                    // was successfully sent to the queue.
                    // The queue or thread pool never drop a job without executing it.
                    // When executing, `catch_unwind` ensures that
                    // the sender cannot be dropped without sending.
                    unreachable!("compute result oneshot channel is disconnected")
                }
            }
        }
        .in_current_span())
    })
}

pub(crate) fn create_queue_size_gauge() -> ObservableGauge<u64> {
    meter_provider()
        .meter("apollo/router")
        .u64_observable_gauge("apollo.router.compute_jobs.queued")
        .with_description(
            "Number of computation jobs (parsing, planning, …) waiting to be scheduled",
        )
        .with_callback(move |m| m.observe(queue().queued_count() as u64, &[]))
        .build()
}

#[cfg(test)]
mod tests {
    use std::time::Duration;
    use std::time::Instant;

    use tracing_futures::WithSubscriber;

    use super::*;
    use crate::assert_snapshot_subscriber;

    /// Send a request to the compute queue to make sure it is initialized.
    ///
    /// The queue is (a) wrapped in a `OnceLock`, so it is shared between tests, and (b) only
    /// initialized after receiving and processing a request.
    /// These two properties can lead to inconsistent behavior.
    async fn ensure_queue_is_initialized() {
        execute(ComputeJobType::Introspection, |_| {})
            .unwrap()
            .await;
    }

    #[tokio::test]
    async fn test_observability() {
        // make sure that the queue has been initialized - if this step is skipped, the
        // queue will _sometimes_ be initialized in the step below, which causes an
        // additional log line and a snapshot mismatch.
        ensure_queue_is_initialized().await;

        async {
            let span = info_span!("test_observability");
            let job = span.in_scope(|| {
                tracing::info!("Outer");
                execute(ComputeJobType::QueryParsing, |_| {
                    tracing::info!("Inner");
                    1
                })
                .unwrap()
            });
            let result = job.await;
            assert_eq!(result, 1);
        }
        .with_subscriber(assert_snapshot_subscriber!())
        .await;
    }

    #[tokio::test]
    async fn test_executes_on_different_thread() {
        let test_thread = std::thread::current().id();
        let job_thread = execute(ComputeJobType::QueryParsing, |_| {
            std::thread::current().id()
        })
        .unwrap()
        .await;
        assert_ne!(job_thread, test_thread)
    }

    #[tokio::test]
    async fn test_parallelism() {
        if thread_pool_size() < 2 {
            return;
        }
        let start = Instant::now();
        let one = execute(ComputeJobType::QueryPlanning, |_| {
            std::thread::sleep(Duration::from_millis(1_000));
            1
        })
        .unwrap();
        let two = execute(ComputeJobType::QueryPlanning, |_| {
            std::thread::sleep(Duration::from_millis(1_000));
            1 + 1
        })
        .unwrap();
        tokio::time::sleep(Duration::from_millis(500)).await;
        assert_eq!(one.await, 1);
        assert_eq!(two.await, 2);
        // Evidence of fearless parallel sleep:
        assert!(start.elapsed() < Duration::from_millis(1_400));
    }

    #[tokio::test]
    async fn test_cancel() {
        let (side_channel_sender, side_channel_receiver) = oneshot::channel();
        let queue_receiver = execute(ComputeJobType::Introspection, move |status| {
            // We expect the first iteration to succeed,
            // but let’s add lots of margin for CI machines with super-busy CPU cores
            for _ in 0..1_000 {
                std::thread::sleep(Duration::from_millis(10));
                if status.check_for_cooperative_cancellation().is_break() {
                    side_channel_sender.send(Ok(())).unwrap();
                    return;
                }
            }
            side_channel_sender.send(Err(())).unwrap();
        });
        drop(queue_receiver);
        match side_channel_receiver.await {
            Ok(Ok(())) => {}
            e => panic!("job did not cancel as expected: {e:?}"),
        };
    }

    #[tokio::test]
    async fn test_cancel_with_task_local() {
        let (side_channel_sender, side_channel_receiver) = oneshot::channel();

        let queue_receiver = crate::compute_job::CANCEL_JOB.scope(
            Some(Arc::new(AtomicBool::new(true))),
            async move {
                execute(ComputeJobType::Introspection, move |status| {
                    // We expect the first iteration to succeed,
                    // but let’s add lots of margin for CI machines with super-busy CPU cores
                    for _ in 0..1_000 {
                        std::thread::sleep(Duration::from_millis(10));
                        if status.check_for_cooperative_cancellation().is_break() {
                            side_channel_sender.send(Ok(())).unwrap();
                            return;
                        }
                    }
                    side_channel_sender.send(Err(())).unwrap();
                })
            },
        );

        match tokio::join!(side_channel_receiver, queue_receiver) {
            (Ok(Ok(())), _) => {}
            (e, _) => panic!("job did not cancel as expected: {e:?}"),
        };
    }
}