Files
neon/pageserver/src/tenant/remote_timeline_client.rs
Arpad Müller 82853cc1d1 Fix warnings and compile errors on nightly (#6886)
Nightly has added a bunch of compiler and linter warnings. There is also
two dependencies that fail compilation on latest nightly due to using
the old `stdsimd` feature name. This PR fixes them.
2024-03-01 17:14:19 +01:00

2298 lines
90 KiB
Rust

//! This module manages synchronizing local FS with remote storage.
//!
//! # Overview
//!
//! * [`RemoteTimelineClient`] provides functions related to upload/download of a particular timeline.
//! It contains a queue of pending uploads, and manages the queue, performing uploads in parallel
//! when it's safe to do so.
//!
//! * Stand-alone function, [`list_remote_timelines`], to get list of timelines of a tenant.
//!
//! These functions use the low-level remote storage client, [`remote_storage::RemoteStorage`].
//!
//! # APIs & How To Use Them
//!
//! There is a [RemoteTimelineClient] for each [Timeline][`crate::tenant::Timeline`] in the system,
//! unless the pageserver is configured without remote storage.
//!
//! We allocate the client instance in [Timeline][`crate::tenant::Timeline`], i.e.,
//! either in [`crate::tenant::mgr`] during startup or when creating a new
//! timeline.
//! However, the client does not become ready for use until we've initialized its upload queue:
//!
//! - For timelines that already have some state on the remote storage, we use
//! [`RemoteTimelineClient::init_upload_queue`] .
//! - For newly created timelines, we use
//! [`RemoteTimelineClient::init_upload_queue_for_empty_remote`].
//!
//! The former takes the remote's [`IndexPart`] as an argument, possibly retrieved
//! using [`list_remote_timelines`]. We'll elaborate on [`IndexPart`] in the next section.
//!
//! Whenever we've created/updated/deleted a file in a timeline directory, we schedule
//! the corresponding remote operation with the timeline's [`RemoteTimelineClient`]:
//!
//! - [`RemoteTimelineClient::schedule_layer_file_upload`] when we've created a new layer file.
//! - [`RemoteTimelineClient::schedule_index_upload_for_metadata_update`] when we've updated the timeline metadata file.
//! - [`RemoteTimelineClient::schedule_index_upload_for_file_changes`] to upload an updated index file, after we've scheduled file uploads
//! - [`RemoteTimelineClient::schedule_layer_file_deletion`] when we've deleted one or more layer files.
//!
//! Internally, these functions create [`UploadOp`]s and put them in a queue.
//!
//! There are also APIs for downloading files.
//! These are not part of the aforementioned queuing and will not be discussed
//! further here, except in the section covering tenant attach.
//!
//! # Remote Storage Structure & [`IndexPart`] Index File
//!
//! The "directory structure" in the remote storage mirrors the local directory structure, with paths
//! like `tenants/<tenant_id>/timelines/<timeline_id>/<layer filename>`.
//! Yet instead of keeping the `metadata` file remotely, we wrap it with more
//! data in an "index file" aka [`IndexPart`], containing the list of **all** remote
//! files for a given timeline.
//! If a file is not referenced from [`IndexPart`], it's not part of the remote storage state.
//!
//! Having the `IndexPart` also avoids expensive and slow `S3 list` commands.
//!
//! # Consistency
//!
//! To have a consistent remote structure, it's important that uploads and
//! deletions are performed in the right order. For example, the index file
//! contains a list of layer files, so it must not be uploaded until all the
//! layer files that are in its list have been successfully uploaded.
//!
//! The contract between client and its user is that the user is responsible of
//! scheduling operations in an order that keeps the remote consistent as
//! described above.
//! From the user's perspective, the operations are executed sequentially.
//! Internally, the client knows which operations can be performed in parallel,
//! and which operations act like a "barrier" that require preceding operations
//! to finish. The calling code just needs to call the schedule-functions in the
//! correct order, and the client will parallelize the operations in a way that
//! is safe.
//!
//! The caller should be careful with deletion, though. They should not delete
//! local files that have been scheduled for upload but not yet finished uploading.
//! Otherwise the upload will fail. To wait for an upload to finish, use
//! the 'wait_completion' function (more on that later.)
//!
//! All of this relies on the following invariants:
//!
//! - We rely on read-after write consistency in the remote storage.
//! - Layer files are immutable
//!
//! NB: Pageserver assumes that it has exclusive write access to the tenant in remote
//! storage. Different tenants can be attached to different pageservers, but if the
//! same tenant is attached to two pageservers at the same time, they will overwrite
//! each other's index file updates, and confusion will ensue. There's no interlock or
//! mechanism to detect that in the pageserver, we rely on the control plane to ensure
//! that that doesn't happen.
//!
//! ## Implementation Note
//!
//! The *actual* remote state lags behind the *desired* remote state while
//! there are in-flight operations.
//! We keep track of the desired remote state in
//! [`UploadQueueInitialized::latest_files`] and [`UploadQueueInitialized::latest_metadata`].
//! It is initialized based on the [`IndexPart`] that was passed during init
//! and updated with every `schedule_*` function call.
//! All this is necessary necessary to compute the future [`IndexPart`]s
//! when scheduling an operation while other operations that also affect the
//! remote [`IndexPart`] are in flight.
//!
//! # Retries & Error Handling
//!
//! The client retries operations indefinitely, using exponential back-off.
//! There is no way to force a retry, i.e., interrupt the back-off.
//! This could be built easily.
//!
//! # Cancellation
//!
//! The operations execute as plain [`task_mgr`] tasks, scoped to
//! the client's tenant and timeline.
//! Dropping the client will drop queued operations but not executing operations.
//! These will complete unless the `task_mgr` tasks are cancelled using `task_mgr`
//! APIs, e.g., during pageserver shutdown, timeline delete, or tenant detach.
//!
//! # Completion
//!
//! Once an operation has completed, we update
//! [`UploadQueueInitialized::projected_remote_consistent_lsn`] immediately,
//! and submit a request through the DeletionQueue to update
//! [`UploadQueueInitialized::visible_remote_consistent_lsn`] after it has
//! validated that our generation is not stale. It is this visible value
//! that is advertized to safekeepers as a signal that that they can
//! delete the WAL up to that LSN.
//!
//! The [`RemoteTimelineClient::wait_completion`] method can be used to wait
//! for all pending operations to complete. It does not prevent more
//! operations from getting scheduled.
//!
//! # Crash Consistency
//!
//! We do not persist the upload queue state.
//! If we drop the client, or crash, all unfinished operations are lost.
//!
//! To recover, the following steps need to be taken:
//! - Retrieve the current remote [`IndexPart`]. This gives us a
//! consistent remote state, assuming the user scheduled the operations in
//! the correct order.
//! - Initiate upload queue with that [`IndexPart`].
//! - Reschedule all lost operations by comparing the local filesystem state
//! and remote state as per [`IndexPart`]. This is done in
//! [`Tenant::timeline_init_and_sync`].
//!
//! Note that if we crash during file deletion between the index update
//! that removes the file from the list of files, and deleting the remote file,
//! the file is leaked in the remote storage. Similarly, if a new file is created
//! and uploaded, but the pageserver dies permanently before updating the
//! remote index file, the new file is leaked in remote storage. We accept and
//! tolerate that for now.
//! Note further that we cannot easily fix this by scheduling deletes for every
//! file that is present only on the remote, because we cannot distinguish the
//! following two cases:
//! - (1) We had the file locally, deleted it locally, scheduled a remote delete,
//! but crashed before it finished remotely.
//! - (2) We never had the file locally because we haven't on-demand downloaded
//! it yet.
//!
//! # Downloads
//!
//! In addition to the upload queue, [`RemoteTimelineClient`] has functions for
//! downloading files from the remote storage. Downloads are performed immediately
//! against the `RemoteStorage`, independently of the upload queue.
//!
//! When we attach a tenant, we perform the following steps:
//! - create `Tenant` object in `TenantState::Attaching` state
//! - List timelines that are present in remote storage, and for each:
//! - download their remote [`IndexPart`]s
//! - create `Timeline` struct and a `RemoteTimelineClient`
//! - initialize the client's upload queue with its `IndexPart`
//! - schedule uploads for layers that are only present locally.
//! - After the above is done for each timeline, open the tenant for business by
//! transitioning it from `TenantState::Attaching` to `TenantState::Active` state.
//! This starts the timelines' WAL-receivers and the tenant's GC & Compaction loops.
//!
//! # Operating Without Remote Storage
//!
//! If no remote storage configuration is provided, the [`RemoteTimelineClient`] is
//! not created and the uploads are skipped.
//!
//! [`Tenant::timeline_init_and_sync`]: super::Tenant::timeline_init_and_sync
//! [`Timeline::load_layer_map`]: super::Timeline::load_layer_map
pub(crate) mod download;
pub mod index;
pub(crate) mod upload;
use anyhow::Context;
use camino::Utf8Path;
use chrono::{NaiveDateTime, Utc};
pub(crate) use download::download_initdb_tar_zst;
use pageserver_api::shard::{ShardIndex, TenantShardId};
use scopeguard::ScopeGuard;
use tokio_util::sync::CancellationToken;
pub(crate) use upload::upload_initdb_dir;
use utils::backoff::{
self, exponential_backoff, DEFAULT_BASE_BACKOFF_SECONDS, DEFAULT_MAX_BACKOFF_SECONDS,
};
use std::collections::{HashMap, VecDeque};
use std::sync::atomic::{AtomicU32, Ordering};
use std::sync::{Arc, Mutex};
use remote_storage::{DownloadError, GenericRemoteStorage, RemotePath, TimeoutOrCancel};
use std::ops::DerefMut;
use tracing::{debug, error, info, instrument, warn};
use tracing::{info_span, Instrument};
use utils::lsn::Lsn;
use crate::deletion_queue::DeletionQueueClient;
use crate::metrics::{
MeasureRemoteOp, RemoteOpFileKind, RemoteOpKind, RemoteTimelineClientMetrics,
RemoteTimelineClientMetricsCallTrackSize, REMOTE_ONDEMAND_DOWNLOADED_BYTES,
REMOTE_ONDEMAND_DOWNLOADED_LAYERS,
};
use crate::task_mgr::shutdown_token;
use crate::tenant::debug_assert_current_span_has_tenant_and_timeline_id;
use crate::tenant::remote_timeline_client::download::download_retry;
use crate::tenant::storage_layer::AsLayerDesc;
use crate::tenant::upload_queue::Delete;
use crate::tenant::TIMELINES_SEGMENT_NAME;
use crate::{
config::PageServerConf,
task_mgr,
task_mgr::TaskKind,
task_mgr::BACKGROUND_RUNTIME,
tenant::metadata::TimelineMetadata,
tenant::upload_queue::{
UploadOp, UploadQueue, UploadQueueInitialized, UploadQueueStopped, UploadTask,
},
TENANT_HEATMAP_BASENAME,
};
use utils::id::{TenantId, TimelineId};
use self::index::IndexPart;
use super::storage_layer::{Layer, LayerFileName, ResidentLayer};
use super::upload_queue::SetDeletedFlagProgress;
use super::Generation;
pub(crate) use download::{is_temp_download_file, list_remote_timelines};
pub(crate) use index::LayerFileMetadata;
// Occasional network issues and such can cause remote operations to fail, and
// that's expected. If a download fails, we log it at info-level, and retry.
// But after FAILED_DOWNLOAD_WARN_THRESHOLD retries, we start to log it at WARN
// level instead, as repeated failures can mean a more serious problem. If it
// fails more than FAILED_DOWNLOAD_RETRIES times, we give up
pub(crate) const FAILED_DOWNLOAD_WARN_THRESHOLD: u32 = 3;
pub(crate) const FAILED_REMOTE_OP_RETRIES: u32 = 10;
// Similarly log failed uploads and deletions at WARN level, after this many
// retries. Uploads and deletions are retried forever, though.
pub(crate) const FAILED_UPLOAD_WARN_THRESHOLD: u32 = 3;
pub(crate) const INITDB_PATH: &str = "initdb.tar.zst";
pub(crate) const INITDB_PRESERVED_PATH: &str = "initdb-preserved.tar.zst";
/// Default buffer size when interfacing with [`tokio::fs::File`].
pub(crate) const BUFFER_SIZE: usize = 32 * 1024;
pub enum MaybeDeletedIndexPart {
IndexPart(IndexPart),
Deleted(IndexPart),
}
/// Errors that can arise when calling [`RemoteTimelineClient::stop`].
#[derive(Debug, thiserror::Error)]
pub enum StopError {
/// Returned if the upload queue was never initialized.
/// See [`RemoteTimelineClient::init_upload_queue`] and [`RemoteTimelineClient::init_upload_queue_for_empty_remote`].
#[error("queue is not initialized")]
QueueUninitialized,
}
#[derive(Debug, thiserror::Error)]
pub enum PersistIndexPartWithDeletedFlagError {
#[error("another task is already setting the deleted_flag, started at {0:?}")]
AlreadyInProgress(NaiveDateTime),
#[error("the deleted_flag was already set, value is {0:?}")]
AlreadyDeleted(NaiveDateTime),
#[error(transparent)]
Other(#[from] anyhow::Error),
}
/// A client for accessing a timeline's data in remote storage.
///
/// This takes care of managing the number of connections, and balancing them
/// across tenants. This also handles retries of failed uploads.
///
/// Upload and delete requests are ordered so that before a deletion is
/// performed, we wait for all preceding uploads to finish. This ensures sure
/// that if you perform a compaction operation that reshuffles data in layer
/// files, we don't have a transient state where the old files have already been
/// deleted, but new files have not yet been uploaded.
///
/// Similarly, this enforces an order between index-file uploads, and layer
/// uploads. Before an index-file upload is performed, all preceding layer
/// uploads must be finished.
///
/// This also maintains a list of remote files, and automatically includes that
/// in the index part file, whenever timeline metadata is uploaded.
///
/// Downloads are not queued, they are performed immediately.
pub struct RemoteTimelineClient {
conf: &'static PageServerConf,
runtime: tokio::runtime::Handle,
tenant_shard_id: TenantShardId,
timeline_id: TimelineId,
generation: Generation,
upload_queue: Mutex<UploadQueue>,
metrics: Arc<RemoteTimelineClientMetrics>,
storage_impl: GenericRemoteStorage,
deletion_queue_client: DeletionQueueClient,
cancel: CancellationToken,
}
impl RemoteTimelineClient {
///
/// Create a remote storage client for given timeline
///
/// Note: the caller must initialize the upload queue before any uploads can be scheduled,
/// by calling init_upload_queue.
///
pub fn new(
remote_storage: GenericRemoteStorage,
deletion_queue_client: DeletionQueueClient,
conf: &'static PageServerConf,
tenant_shard_id: TenantShardId,
timeline_id: TimelineId,
generation: Generation,
) -> RemoteTimelineClient {
RemoteTimelineClient {
conf,
runtime: if cfg!(test) {
// remote_timeline_client.rs tests rely on current-thread runtime
tokio::runtime::Handle::current()
} else {
BACKGROUND_RUNTIME.handle().clone()
},
tenant_shard_id,
timeline_id,
generation,
storage_impl: remote_storage,
deletion_queue_client,
upload_queue: Mutex::new(UploadQueue::Uninitialized),
metrics: Arc::new(RemoteTimelineClientMetrics::new(
&tenant_shard_id,
&timeline_id,
)),
cancel: CancellationToken::new(),
}
}
/// Initialize the upload queue for a remote storage that already received
/// an index file upload, i.e., it's not empty.
/// The given `index_part` must be the one on the remote.
pub fn init_upload_queue(&self, index_part: &IndexPart) -> anyhow::Result<()> {
let mut upload_queue = self.upload_queue.lock().unwrap();
upload_queue.initialize_with_current_remote_index_part(index_part)?;
self.update_remote_physical_size_gauge(Some(index_part));
info!(
"initialized upload queue from remote index with {} layer files",
index_part.layer_metadata.len()
);
Ok(())
}
/// Initialize the upload queue for the case where the remote storage is empty,
/// i.e., it doesn't have an `IndexPart`.
pub fn init_upload_queue_for_empty_remote(
&self,
local_metadata: &TimelineMetadata,
) -> anyhow::Result<()> {
let mut upload_queue = self.upload_queue.lock().unwrap();
upload_queue.initialize_empty_remote(local_metadata)?;
self.update_remote_physical_size_gauge(None);
info!("initialized upload queue as empty");
Ok(())
}
/// Initialize the queue in stopped state. Used in startup path
/// to continue deletion operation interrupted by pageserver crash or restart.
pub fn init_upload_queue_stopped_to_continue_deletion(
&self,
index_part: &IndexPart,
) -> anyhow::Result<()> {
// FIXME: consider newtype for DeletedIndexPart.
let deleted_at = index_part.deleted_at.ok_or(anyhow::anyhow!(
"bug: it is responsibility of the caller to provide index part from MaybeDeletedIndexPart::Deleted"
))?;
{
let mut upload_queue = self.upload_queue.lock().unwrap();
upload_queue.initialize_with_current_remote_index_part(index_part)?;
self.update_remote_physical_size_gauge(Some(index_part));
}
// also locks upload queue, without dropping the guard above it will be a deadlock
self.stop().expect("initialized line above");
let mut upload_queue = self.upload_queue.lock().unwrap();
upload_queue
.stopped_mut()
.expect("stopped above")
.deleted_at = SetDeletedFlagProgress::Successful(deleted_at);
Ok(())
}
pub fn remote_consistent_lsn_projected(&self) -> Option<Lsn> {
match &mut *self.upload_queue.lock().unwrap() {
UploadQueue::Uninitialized => None,
UploadQueue::Initialized(q) => q.get_last_remote_consistent_lsn_projected(),
UploadQueue::Stopped(q) => q
.upload_queue_for_deletion
.get_last_remote_consistent_lsn_projected(),
}
}
pub fn remote_consistent_lsn_visible(&self) -> Option<Lsn> {
match &mut *self.upload_queue.lock().unwrap() {
UploadQueue::Uninitialized => None,
UploadQueue::Initialized(q) => Some(q.get_last_remote_consistent_lsn_visible()),
UploadQueue::Stopped(q) => Some(
q.upload_queue_for_deletion
.get_last_remote_consistent_lsn_visible(),
),
}
}
fn update_remote_physical_size_gauge(&self, current_remote_index_part: Option<&IndexPart>) {
let size: u64 = if let Some(current_remote_index_part) = current_remote_index_part {
current_remote_index_part
.layer_metadata
.values()
// If we don't have the file size for the layer, don't account for it in the metric.
.map(|ilmd| ilmd.file_size)
.sum()
} else {
0
};
self.metrics.remote_physical_size_set(size);
}
pub fn get_remote_physical_size(&self) -> u64 {
self.metrics.remote_physical_size_get()
}
//
// Download operations.
//
// These don't use the per-timeline queue. They do use the global semaphore in
// S3Bucket, to limit the total number of concurrent operations, though.
//
/// Download index file
pub async fn download_index_file(
&self,
cancel: &CancellationToken,
) -> Result<MaybeDeletedIndexPart, DownloadError> {
let _unfinished_gauge_guard = self.metrics.call_begin(
&RemoteOpFileKind::Index,
&RemoteOpKind::Download,
crate::metrics::RemoteTimelineClientMetricsCallTrackSize::DontTrackSize {
reason: "no need for a downloads gauge",
},
);
let index_part = download::download_index_part(
&self.storage_impl,
&self.tenant_shard_id,
&self.timeline_id,
self.generation,
cancel,
)
.measure_remote_op(
RemoteOpFileKind::Index,
RemoteOpKind::Download,
Arc::clone(&self.metrics),
)
.await?;
if index_part.deleted_at.is_some() {
Ok(MaybeDeletedIndexPart::Deleted(index_part))
} else {
Ok(MaybeDeletedIndexPart::IndexPart(index_part))
}
}
/// Download a (layer) file from `path`, into local filesystem.
///
/// 'layer_metadata' is the metadata from the remote index file.
///
/// On success, returns the size of the downloaded file.
pub async fn download_layer_file(
&self,
layer_file_name: &LayerFileName,
layer_metadata: &LayerFileMetadata,
cancel: &CancellationToken,
) -> anyhow::Result<u64> {
let downloaded_size = {
let _unfinished_gauge_guard = self.metrics.call_begin(
&RemoteOpFileKind::Layer,
&RemoteOpKind::Download,
crate::metrics::RemoteTimelineClientMetricsCallTrackSize::DontTrackSize {
reason: "no need for a downloads gauge",
},
);
download::download_layer_file(
self.conf,
&self.storage_impl,
self.tenant_shard_id,
self.timeline_id,
layer_file_name,
layer_metadata,
cancel,
)
.measure_remote_op(
RemoteOpFileKind::Layer,
RemoteOpKind::Download,
Arc::clone(&self.metrics),
)
.await?
};
REMOTE_ONDEMAND_DOWNLOADED_LAYERS.inc();
REMOTE_ONDEMAND_DOWNLOADED_BYTES.inc_by(downloaded_size);
Ok(downloaded_size)
}
//
// Upload operations.
//
///
/// Launch an index-file upload operation in the background, with
/// updated metadata.
///
/// The upload will be added to the queue immediately, but it
/// won't be performed until all previously scheduled layer file
/// upload operations have completed successfully. This is to
/// ensure that when the index file claims that layers X, Y and Z
/// exist in remote storage, they really do. To wait for the upload
/// to complete, use `wait_completion`.
///
/// If there were any changes to the list of files, i.e. if any
/// layer file uploads were scheduled, since the last index file
/// upload, those will be included too.
pub fn schedule_index_upload_for_metadata_update(
self: &Arc<Self>,
metadata: &TimelineMetadata,
) -> anyhow::Result<()> {
let mut guard = self.upload_queue.lock().unwrap();
let upload_queue = guard.initialized_mut()?;
// As documented in the struct definition, it's ok for latest_metadata to be
// ahead of what's _actually_ on the remote during index upload.
upload_queue.latest_metadata = metadata.clone();
self.schedule_index_upload(upload_queue, upload_queue.latest_metadata.clone());
Ok(())
}
///
/// Launch an index-file upload operation in the background, if necessary.
///
/// Use this function to schedule the update of the index file after
/// scheduling file uploads or deletions. If no file uploads or deletions
/// have been scheduled since the last index file upload, this does
/// nothing.
///
/// Like schedule_index_upload_for_metadata_update(), this merely adds
/// the upload to the upload queue and returns quickly.
pub fn schedule_index_upload_for_file_changes(self: &Arc<Self>) -> anyhow::Result<()> {
let mut guard = self.upload_queue.lock().unwrap();
let upload_queue = guard.initialized_mut()?;
if upload_queue.latest_files_changes_since_metadata_upload_scheduled > 0 {
self.schedule_index_upload(upload_queue, upload_queue.latest_metadata.clone());
}
Ok(())
}
/// Launch an index-file upload operation in the background (internal function)
fn schedule_index_upload(
self: &Arc<Self>,
upload_queue: &mut UploadQueueInitialized,
metadata: TimelineMetadata,
) {
info!(
"scheduling metadata upload with {} files ({} changed)",
upload_queue.latest_files.len(),
upload_queue.latest_files_changes_since_metadata_upload_scheduled,
);
let disk_consistent_lsn = upload_queue.latest_metadata.disk_consistent_lsn();
let index_part = IndexPart::new(
upload_queue.latest_files.clone(),
disk_consistent_lsn,
metadata,
);
let op = UploadOp::UploadMetadata(index_part, disk_consistent_lsn);
self.metric_begin(&op);
upload_queue.queued_operations.push_back(op);
upload_queue.latest_files_changes_since_metadata_upload_scheduled = 0;
// Launch the task immediately, if possible
self.launch_queued_tasks(upload_queue);
}
///
/// Launch an upload operation in the background.
///
pub(crate) fn schedule_layer_file_upload(
self: &Arc<Self>,
layer: ResidentLayer,
) -> anyhow::Result<()> {
let mut guard = self.upload_queue.lock().unwrap();
let upload_queue = guard.initialized_mut()?;
self.schedule_layer_file_upload0(upload_queue, layer);
self.launch_queued_tasks(upload_queue);
Ok(())
}
fn schedule_layer_file_upload0(
self: &Arc<Self>,
upload_queue: &mut UploadQueueInitialized,
layer: ResidentLayer,
) {
let metadata = layer.metadata();
upload_queue
.latest_files
.insert(layer.layer_desc().filename(), metadata.clone());
upload_queue.latest_files_changes_since_metadata_upload_scheduled += 1;
info!(
"scheduled layer file upload {layer} gen={:?} shard={:?}",
metadata.generation, metadata.shard
);
let op = UploadOp::UploadLayer(layer, metadata);
self.metric_begin(&op);
upload_queue.queued_operations.push_back(op);
}
/// Launch a delete operation in the background.
///
/// The operation does not modify local filesystem state.
///
/// Note: This schedules an index file upload before the deletions. The
/// deletion won't actually be performed, until all previously scheduled
/// upload operations, and the index file upload, have completed
/// successfully.
pub fn schedule_layer_file_deletion(
self: &Arc<Self>,
names: &[LayerFileName],
) -> anyhow::Result<()> {
let mut guard = self.upload_queue.lock().unwrap();
let upload_queue = guard.initialized_mut()?;
let with_metadata =
self.schedule_unlinking_of_layers_from_index_part0(upload_queue, names.iter().cloned());
self.schedule_deletion_of_unlinked0(upload_queue, with_metadata);
// Launch the tasks immediately, if possible
self.launch_queued_tasks(upload_queue);
Ok(())
}
/// Unlinks the layer files from `index_part.json` but does not yet schedule deletion for the
/// layer files, leaving them dangling.
///
/// The files will be leaked in remote storage unless [`Self::schedule_deletion_of_unlinked`]
/// is invoked on them.
pub(crate) fn schedule_gc_update(self: &Arc<Self>, gc_layers: &[Layer]) -> anyhow::Result<()> {
let mut guard = self.upload_queue.lock().unwrap();
let upload_queue = guard.initialized_mut()?;
// just forget the return value; after uploading the next index_part.json, we can consider
// the layer files as "dangling". this is fine, at worst case we create work for the
// scrubber.
let names = gc_layers.iter().map(|x| x.layer_desc().filename());
self.schedule_unlinking_of_layers_from_index_part0(upload_queue, names);
self.launch_queued_tasks(upload_queue);
Ok(())
}
/// Update the remote index file, removing the to-be-deleted files from the index,
/// allowing scheduling of actual deletions later.
fn schedule_unlinking_of_layers_from_index_part0<I>(
self: &Arc<Self>,
upload_queue: &mut UploadQueueInitialized,
names: I,
) -> Vec<(LayerFileName, LayerFileMetadata)>
where
I: IntoIterator<Item = LayerFileName>,
{
// Deleting layers doesn't affect the values stored in TimelineMetadata,
// so we don't need update it. Just serialize it.
let metadata = upload_queue.latest_metadata.clone();
// Decorate our list of names with each name's metadata, dropping
// names that are unexpectedly missing from our metadata. This metadata
// is later used when physically deleting layers, to construct key paths.
let with_metadata: Vec<_> = names
.into_iter()
.filter_map(|name| {
let meta = upload_queue.latest_files.remove(&name);
if let Some(meta) = meta {
upload_queue.latest_files_changes_since_metadata_upload_scheduled += 1;
Some((name, meta))
} else {
// This can only happen if we forgot to to schedule the file upload
// before scheduling the delete. Log it because it is a rare/strange
// situation, and in case something is misbehaving, we'd like to know which
// layers experienced this.
info!("Deleting layer {name} not found in latest_files list, never uploaded?");
None
}
})
.collect();
#[cfg(feature = "testing")]
for (name, metadata) in &with_metadata {
let gen = metadata.generation;
if let Some(unexpected) = upload_queue.dangling_files.insert(name.to_owned(), gen) {
if unexpected == gen {
tracing::error!("{name} was unlinked twice with same generation");
} else {
tracing::error!("{name} was unlinked twice with different generations {gen:?} and {unexpected:?}");
}
}
}
// after unlinking files from the upload_queue.latest_files we must always schedule an
// index_part update, because that needs to be uploaded before we can actually delete the
// files.
if upload_queue.latest_files_changes_since_metadata_upload_scheduled > 0 {
self.schedule_index_upload(upload_queue, metadata);
}
with_metadata
}
/// Schedules deletion for layer files which have previously been unlinked from the
/// `index_part.json` with [`Self::schedule_gc_update`] or [`Self::schedule_compaction_update`].
pub(crate) fn schedule_deletion_of_unlinked(
self: &Arc<Self>,
layers: Vec<(LayerFileName, LayerFileMetadata)>,
) -> anyhow::Result<()> {
let mut guard = self.upload_queue.lock().unwrap();
let upload_queue = guard.initialized_mut()?;
self.schedule_deletion_of_unlinked0(upload_queue, layers);
self.launch_queued_tasks(upload_queue);
Ok(())
}
fn schedule_deletion_of_unlinked0(
self: &Arc<Self>,
upload_queue: &mut UploadQueueInitialized,
mut with_metadata: Vec<(LayerFileName, LayerFileMetadata)>,
) {
// Filter out any layers which were not created by this tenant shard. These are
// layers that originate from some ancestor shard after a split, and may still
// be referenced by other shards. We are free to delete them locally and remove
// them from our index (and would have already done so when we reach this point
// in the code), but we may not delete them remotely.
with_metadata.retain(|(name, meta)| {
let retain = meta.shard.shard_number == self.tenant_shard_id.shard_number
&& meta.shard.shard_count == self.tenant_shard_id.shard_count;
if !retain {
tracing::debug!(
"Skipping deletion of ancestor-shard layer {name}, from shard {}",
meta.shard
);
}
retain
});
for (name, meta) in &with_metadata {
info!(
"scheduling deletion of layer {}{} (shard {})",
name,
meta.generation.get_suffix(),
meta.shard
);
}
#[cfg(feature = "testing")]
for (name, meta) in &with_metadata {
let gen = meta.generation;
match upload_queue.dangling_files.remove(name) {
Some(same) if same == gen => { /* expected */ }
Some(other) => {
tracing::error!("{name} was unlinked with {other:?} but deleted with {gen:?}");
}
None => {
tracing::error!("{name} was unlinked but was not dangling");
}
}
}
// schedule the actual deletions
if with_metadata.is_empty() {
// avoid scheduling the op & bumping the metric
return;
}
let op = UploadOp::Delete(Delete {
layers: with_metadata,
});
self.metric_begin(&op);
upload_queue.queued_operations.push_back(op);
}
/// Schedules a compaction update to the remote `index_part.json`.
///
/// `compacted_from` represent the L0 names which have been `compacted_to` L1 layers.
pub(crate) fn schedule_compaction_update(
self: &Arc<Self>,
compacted_from: &[Layer],
compacted_to: &[ResidentLayer],
) -> anyhow::Result<()> {
let mut guard = self.upload_queue.lock().unwrap();
let upload_queue = guard.initialized_mut()?;
for layer in compacted_to {
self.schedule_layer_file_upload0(upload_queue, layer.clone());
}
let names = compacted_from.iter().map(|x| x.layer_desc().filename());
self.schedule_unlinking_of_layers_from_index_part0(upload_queue, names);
self.launch_queued_tasks(upload_queue);
Ok(())
}
/// Wait for all previously scheduled uploads/deletions to complete
pub(crate) async fn wait_completion(self: &Arc<Self>) -> anyhow::Result<()> {
let mut receiver = {
let mut guard = self.upload_queue.lock().unwrap();
let upload_queue = guard.initialized_mut()?;
self.schedule_barrier0(upload_queue)
};
if receiver.changed().await.is_err() {
anyhow::bail!("wait_completion aborted because upload queue was stopped");
}
Ok(())
}
pub(crate) fn schedule_barrier(self: &Arc<Self>) -> anyhow::Result<()> {
let mut guard = self.upload_queue.lock().unwrap();
let upload_queue = guard.initialized_mut()?;
self.schedule_barrier0(upload_queue);
Ok(())
}
fn schedule_barrier0(
self: &Arc<Self>,
upload_queue: &mut UploadQueueInitialized,
) -> tokio::sync::watch::Receiver<()> {
let (sender, receiver) = tokio::sync::watch::channel(());
let barrier_op = UploadOp::Barrier(sender);
upload_queue.queued_operations.push_back(barrier_op);
// Don't count this kind of operation!
// Launch the task immediately, if possible
self.launch_queued_tasks(upload_queue);
receiver
}
/// Wait for all previously scheduled operations to complete, and then stop.
///
/// Not cancellation safe
pub(crate) async fn shutdown(self: &Arc<Self>) -> Result<(), StopError> {
// On cancellation the queue is left in ackward state of refusing new operations but
// proper stop is yet to be called. On cancel the original or some later task must call
// `stop` or `shutdown`.
let sg = scopeguard::guard((), |_| {
tracing::error!("RemoteTimelineClient::shutdown was cancelled; this should not happen, do not make this into an allowed_error")
});
let fut = {
let mut guard = self.upload_queue.lock().unwrap();
let upload_queue = match &mut *guard {
UploadQueue::Stopped(_) => return Ok(()),
UploadQueue::Uninitialized => return Err(StopError::QueueUninitialized),
UploadQueue::Initialized(ref mut init) => init,
};
// if the queue is already stuck due to a shutdown operation which was cancelled, then
// just don't add more of these as they would never complete.
//
// TODO: if launch_queued_tasks were to be refactored to accept a &mut UploadQueue
// in every place we would not have to jump through this hoop, and this method could be
// made cancellable.
if !upload_queue.shutting_down {
upload_queue.shutting_down = true;
upload_queue.queued_operations.push_back(UploadOp::Shutdown);
// this operation is not counted similar to Barrier
self.launch_queued_tasks(upload_queue);
}
upload_queue.shutdown_ready.clone().acquire_owned()
};
let res = fut.await;
scopeguard::ScopeGuard::into_inner(sg);
match res {
Ok(_permit) => unreachable!("shutdown_ready should not have been added permits"),
Err(_closed) => {
// expected
}
}
self.stop()
}
/// Set the deleted_at field in the remote index file.
///
/// This fails if the upload queue has not been `stop()`ed.
///
/// The caller is responsible for calling `stop()` AND for waiting
/// for any ongoing upload tasks to finish after `stop()` has succeeded.
/// Check method [`RemoteTimelineClient::stop`] for details.
#[instrument(skip_all)]
pub(crate) async fn persist_index_part_with_deleted_flag(
self: &Arc<Self>,
) -> Result<(), PersistIndexPartWithDeletedFlagError> {
let index_part_with_deleted_at = {
let mut locked = self.upload_queue.lock().unwrap();
// We must be in stopped state because otherwise
// we can have inprogress index part upload that can overwrite the file
// with missing is_deleted flag that we going to set below
let stopped = locked.stopped_mut()?;
match stopped.deleted_at {
SetDeletedFlagProgress::NotRunning => (), // proceed
SetDeletedFlagProgress::InProgress(at) => {
return Err(PersistIndexPartWithDeletedFlagError::AlreadyInProgress(at));
}
SetDeletedFlagProgress::Successful(at) => {
return Err(PersistIndexPartWithDeletedFlagError::AlreadyDeleted(at));
}
};
let deleted_at = Utc::now().naive_utc();
stopped.deleted_at = SetDeletedFlagProgress::InProgress(deleted_at);
let mut index_part = IndexPart::try_from(&stopped.upload_queue_for_deletion)
.context("IndexPart serialize")?;
index_part.deleted_at = Some(deleted_at);
index_part
};
let undo_deleted_at = scopeguard::guard(Arc::clone(self), |self_clone| {
let mut locked = self_clone.upload_queue.lock().unwrap();
let stopped = locked
.stopped_mut()
.expect("there's no way out of Stopping, and we checked it's Stopping above");
stopped.deleted_at = SetDeletedFlagProgress::NotRunning;
});
pausable_failpoint!("persist_deleted_index_part");
backoff::retry(
|| {
upload::upload_index_part(
&self.storage_impl,
&self.tenant_shard_id,
&self.timeline_id,
self.generation,
&index_part_with_deleted_at,
&self.cancel,
)
},
|_e| false,
1,
// have just a couple of attempts
// when executed as part of timeline deletion this happens in context of api call
// when executed as part of tenant deletion this happens in the background
2,
"persist_index_part_with_deleted_flag",
&self.cancel,
)
.await
.ok_or_else(|| anyhow::Error::new(TimeoutOrCancel::Cancel))
.and_then(|x| x)?;
// all good, disarm the guard and mark as success
ScopeGuard::into_inner(undo_deleted_at);
{
let mut locked = self.upload_queue.lock().unwrap();
let stopped = locked
.stopped_mut()
.expect("there's no way out of Stopping, and we checked it's Stopping above");
stopped.deleted_at = SetDeletedFlagProgress::Successful(
index_part_with_deleted_at
.deleted_at
.expect("we set it above"),
);
}
Ok(())
}
pub(crate) async fn preserve_initdb_archive(
self: &Arc<Self>,
tenant_id: &TenantId,
timeline_id: &TimelineId,
cancel: &CancellationToken,
) -> anyhow::Result<()> {
backoff::retry(
|| async {
upload::preserve_initdb_archive(&self.storage_impl, tenant_id, timeline_id, cancel)
.await
},
TimeoutOrCancel::caused_by_cancel,
FAILED_DOWNLOAD_WARN_THRESHOLD,
FAILED_REMOTE_OP_RETRIES,
"preserve_initdb_tar_zst",
&cancel.clone(),
)
.await
.ok_or_else(|| anyhow::Error::new(TimeoutOrCancel::Cancel))
.and_then(|x| x)
.context("backing up initdb archive")?;
Ok(())
}
/// Prerequisites: UploadQueue should be in stopped state and deleted_at should be successfuly set.
/// The function deletes layer files one by one, then lists the prefix to see if we leaked something
/// deletes leaked files if any and proceeds with deletion of index file at the end.
pub(crate) async fn delete_all(self: &Arc<Self>) -> anyhow::Result<()> {
debug_assert_current_span_has_tenant_and_timeline_id();
let layers: Vec<RemotePath> = {
let mut locked = self.upload_queue.lock().unwrap();
let stopped = locked.stopped_mut()?;
if !matches!(stopped.deleted_at, SetDeletedFlagProgress::Successful(_)) {
anyhow::bail!("deleted_at is not set")
}
debug_assert!(stopped.upload_queue_for_deletion.no_pending_work());
stopped
.upload_queue_for_deletion
.latest_files
.drain()
.map(|(file_name, meta)| {
remote_layer_path(
&self.tenant_shard_id.tenant_id,
&self.timeline_id,
meta.shard,
&file_name,
meta.generation,
)
})
.collect()
};
let layer_deletion_count = layers.len();
self.deletion_queue_client.push_immediate(layers).await?;
// Delete the initdb.tar.zst, which is not always present, but deletion attempts of
// inexistant objects are not considered errors.
let initdb_path =
remote_initdb_archive_path(&self.tenant_shard_id.tenant_id, &self.timeline_id);
self.deletion_queue_client
.push_immediate(vec![initdb_path])
.await?;
// Do not delete index part yet, it is needed for possible retry. If we remove it first
// and retry will arrive to different pageserver there wont be any traces of it on remote storage
let timeline_storage_path = remote_timeline_path(&self.tenant_shard_id, &self.timeline_id);
// Execute all pending deletions, so that when we proceed to do a list_prefixes below, we aren't
// taking the burden of listing all the layers that we already know we should delete.
self.deletion_queue_client.flush_immediate().await?;
let cancel = shutdown_token();
let remaining = download_retry(
|| async {
self.storage_impl
.list_files(Some(&timeline_storage_path), None, &cancel)
.await
},
"list remaining files",
&cancel,
)
.await
.context("list files remaining files")?;
// We will delete the current index_part object last, since it acts as a deletion
// marker via its deleted_at attribute
let latest_index = remaining
.iter()
.filter(|p| {
p.object_name()
.map(|n| n.starts_with(IndexPart::FILE_NAME))
.unwrap_or(false)
})
.filter_map(|path| parse_remote_index_path(path.clone()).map(|gen| (path, gen)))
.max_by_key(|i| i.1)
.map(|i| i.0.clone())
.unwrap_or(
// No generation-suffixed indices, assume we are dealing with
// a legacy index.
remote_index_path(&self.tenant_shard_id, &self.timeline_id, Generation::none()),
);
let remaining_layers: Vec<RemotePath> = remaining
.into_iter()
.filter(|p| {
if p == &latest_index {
return false;
}
if p.object_name() == Some(INITDB_PRESERVED_PATH) {
return false;
}
true
})
.inspect(|path| {
if let Some(name) = path.object_name() {
info!(%name, "deleting a file not referenced from index_part.json");
} else {
warn!(%path, "deleting a nameless or non-utf8 object not referenced from index_part.json");
}
})
.collect();
let not_referenced_count = remaining_layers.len();
if !remaining_layers.is_empty() {
self.deletion_queue_client
.push_immediate(remaining_layers)
.await?;
}
fail::fail_point!("timeline-delete-before-index-delete", |_| {
Err(anyhow::anyhow!(
"failpoint: timeline-delete-before-index-delete"
))?
});
debug!("enqueuing index part deletion");
self.deletion_queue_client
.push_immediate([latest_index].to_vec())
.await?;
// Timeline deletion is rare and we have probably emitted a reasonably number of objects: wait
// for a flush to a persistent deletion list so that we may be sure deletion will occur.
self.deletion_queue_client.flush_immediate().await?;
fail::fail_point!("timeline-delete-after-index-delete", |_| {
Err(anyhow::anyhow!(
"failpoint: timeline-delete-after-index-delete"
))?
});
info!(prefix=%timeline_storage_path, referenced=layer_deletion_count, not_referenced=%not_referenced_count, "done deleting in timeline prefix, including index_part.json");
Ok(())
}
///
/// Pick next tasks from the queue, and start as many of them as possible without violating
/// the ordering constraints.
///
/// The caller needs to already hold the `upload_queue` lock.
fn launch_queued_tasks(self: &Arc<Self>, upload_queue: &mut UploadQueueInitialized) {
while let Some(next_op) = upload_queue.queued_operations.front() {
// Can we run this task now?
let can_run_now = match next_op {
UploadOp::UploadLayer(_, _) => {
// Can always be scheduled.
true
}
UploadOp::UploadMetadata(_, _) => {
// These can only be performed after all the preceding operations
// have finished.
upload_queue.inprogress_tasks.is_empty()
}
UploadOp::Delete(_) => {
// Wait for preceding uploads to finish. Concurrent deletions are OK, though.
upload_queue.num_inprogress_deletions == upload_queue.inprogress_tasks.len()
}
UploadOp::Barrier(_) | UploadOp::Shutdown => {
upload_queue.inprogress_tasks.is_empty()
}
};
// If we cannot launch this task, don't look any further.
//
// In some cases, we could let some non-frontmost tasks to "jump the queue" and launch
// them now, but we don't try to do that currently. For example, if the frontmost task
// is an index-file upload that cannot proceed until preceding uploads have finished, we
// could still start layer uploads that were scheduled later.
if !can_run_now {
break;
}
if let UploadOp::Shutdown = next_op {
// leave the op in the queue but do not start more tasks; it will be dropped when
// the stop is called.
upload_queue.shutdown_ready.close();
break;
}
// We can launch this task. Remove it from the queue first.
let next_op = upload_queue.queued_operations.pop_front().unwrap();
debug!("starting op: {}", next_op);
// Update the counters
match next_op {
UploadOp::UploadLayer(_, _) => {
upload_queue.num_inprogress_layer_uploads += 1;
}
UploadOp::UploadMetadata(_, _) => {
upload_queue.num_inprogress_metadata_uploads += 1;
}
UploadOp::Delete(_) => {
upload_queue.num_inprogress_deletions += 1;
}
UploadOp::Barrier(sender) => {
sender.send_replace(());
continue;
}
UploadOp::Shutdown => unreachable!("shutdown is intentionally never popped off"),
};
// Assign unique ID to this task
upload_queue.task_counter += 1;
let upload_task_id = upload_queue.task_counter;
// Add it to the in-progress map
let task = Arc::new(UploadTask {
task_id: upload_task_id,
op: next_op,
retries: AtomicU32::new(0),
});
upload_queue
.inprogress_tasks
.insert(task.task_id, Arc::clone(&task));
// Spawn task to perform the task
let self_rc = Arc::clone(self);
let tenant_shard_id = self.tenant_shard_id;
let timeline_id = self.timeline_id;
task_mgr::spawn(
&self.runtime,
TaskKind::RemoteUploadTask,
Some(self.tenant_shard_id),
Some(self.timeline_id),
"remote upload",
false,
async move {
self_rc.perform_upload_task(task).await;
Ok(())
}
.instrument(info_span!(parent: None, "remote_upload", tenant_id=%tenant_shard_id.tenant_id, shard_id=%tenant_shard_id.shard_slug(), %timeline_id, %upload_task_id)),
);
// Loop back to process next task
}
}
///
/// Perform an upload task.
///
/// The task is in the `inprogress_tasks` list. This function will try to
/// execute it, retrying forever. On successful completion, the task is
/// removed it from the `inprogress_tasks` list, and any next task(s) in the
/// queue that were waiting by the completion are launched.
///
/// The task can be shut down, however. That leads to stopping the whole
/// queue.
///
async fn perform_upload_task(self: &Arc<Self>, task: Arc<UploadTask>) {
let cancel = shutdown_token();
// Loop to retry until it completes.
loop {
// If we're requested to shut down, close up shop and exit.
//
// Note: We only check for the shutdown requests between retries, so
// if a shutdown request arrives while we're busy uploading, in the
// upload::upload:*() call below, we will wait not exit until it has
// finished. We probably could cancel the upload by simply dropping
// the Future, but we're not 100% sure if the remote storage library
// is cancellation safe, so we don't dare to do that. Hopefully, the
// upload finishes or times out soon enough.
if cancel.is_cancelled() {
info!("upload task cancelled by shutdown request");
match self.stop() {
Ok(()) => {}
Err(StopError::QueueUninitialized) => {
unreachable!("we never launch an upload task if the queue is uninitialized, and once it is initialized, we never go back")
}
}
return;
}
let upload_result: anyhow::Result<()> = match &task.op {
UploadOp::UploadLayer(ref layer, ref layer_metadata) => {
let path = layer.local_path();
upload::upload_timeline_layer(
self.conf,
&self.storage_impl,
path,
layer_metadata,
self.generation,
&self.cancel,
)
.measure_remote_op(
RemoteOpFileKind::Layer,
RemoteOpKind::Upload,
Arc::clone(&self.metrics),
)
.await
}
UploadOp::UploadMetadata(ref index_part, _lsn) => {
let mention_having_future_layers = if cfg!(feature = "testing") {
index_part
.layer_metadata
.keys()
.any(|x| x.is_in_future(*_lsn))
} else {
false
};
let res = upload::upload_index_part(
&self.storage_impl,
&self.tenant_shard_id,
&self.timeline_id,
self.generation,
index_part,
&self.cancel,
)
.measure_remote_op(
RemoteOpFileKind::Index,
RemoteOpKind::Upload,
Arc::clone(&self.metrics),
)
.await;
if res.is_ok() {
self.update_remote_physical_size_gauge(Some(index_part));
if mention_having_future_layers {
// find rationale near crate::tenant::timeline::init::cleanup_future_layer
tracing::info!(disk_consistent_lsn=%_lsn, "uploaded an index_part.json with future layers -- this is ok! if shutdown now, expect future layer cleanup");
}
}
res
}
UploadOp::Delete(delete) => {
pausable_failpoint!("before-delete-layer-pausable");
self.deletion_queue_client
.push_layers(
self.tenant_shard_id,
self.timeline_id,
self.generation,
delete.layers.clone(),
)
.await
.map_err(|e| anyhow::anyhow!(e))
}
unexpected @ UploadOp::Barrier(_) | unexpected @ UploadOp::Shutdown => {
// unreachable. Barrier operations are handled synchronously in
// launch_queued_tasks
warn!("unexpected {unexpected:?} operation in perform_upload_task");
break;
}
};
match upload_result {
Ok(()) => {
break;
}
Err(e) if TimeoutOrCancel::caused_by_cancel(&e) => {
// loop around to do the proper stopping
continue;
}
Err(e) => {
let retries = task.retries.fetch_add(1, Ordering::SeqCst);
// Uploads can fail due to rate limits (IAM, S3), spurious network problems,
// or other external reasons. Such issues are relatively regular, so log them
// at info level at first, and only WARN if the operation fails repeatedly.
//
// (See similar logic for downloads in `download::download_retry`)
if retries < FAILED_UPLOAD_WARN_THRESHOLD {
info!(
"failed to perform remote task {}, will retry (attempt {}): {:#}",
task.op, retries, e
);
} else {
warn!(
"failed to perform remote task {}, will retry (attempt {}): {:?}",
task.op, retries, e
);
}
// sleep until it's time to retry, or we're cancelled
exponential_backoff(
retries,
DEFAULT_BASE_BACKOFF_SECONDS,
DEFAULT_MAX_BACKOFF_SECONDS,
&cancel,
)
.await;
}
}
}
let retries = task.retries.load(Ordering::SeqCst);
if retries > 0 {
info!(
"remote task {} completed successfully after {} retries",
task.op, retries
);
} else {
debug!("remote task {} completed successfully", task.op);
}
// The task has completed successfully. Remove it from the in-progress list.
let lsn_update = {
let mut upload_queue_guard = self.upload_queue.lock().unwrap();
let upload_queue = match upload_queue_guard.deref_mut() {
UploadQueue::Uninitialized => panic!("callers are responsible for ensuring this is only called on an initialized queue"),
UploadQueue::Stopped(_stopped) => {
None
},
UploadQueue::Initialized(qi) => { Some(qi) }
};
let upload_queue = match upload_queue {
Some(upload_queue) => upload_queue,
None => {
info!("another concurrent task already stopped the queue");
return;
}
};
upload_queue.inprogress_tasks.remove(&task.task_id);
let lsn_update = match task.op {
UploadOp::UploadLayer(_, _) => {
upload_queue.num_inprogress_layer_uploads -= 1;
None
}
UploadOp::UploadMetadata(_, lsn) => {
upload_queue.num_inprogress_metadata_uploads -= 1;
// XXX monotonicity check?
upload_queue.projected_remote_consistent_lsn = Some(lsn);
if self.generation.is_none() {
// Legacy mode: skip validating generation
upload_queue.visible_remote_consistent_lsn.store(lsn);
None
} else {
Some((lsn, upload_queue.visible_remote_consistent_lsn.clone()))
}
}
UploadOp::Delete(_) => {
upload_queue.num_inprogress_deletions -= 1;
None
}
UploadOp::Barrier(..) | UploadOp::Shutdown => unreachable!(),
};
// Launch any queued tasks that were unblocked by this one.
self.launch_queued_tasks(upload_queue);
lsn_update
};
if let Some((lsn, slot)) = lsn_update {
// Updates to the remote_consistent_lsn we advertise to pageservers
// are all routed through the DeletionQueue, to enforce important
// data safety guarantees (see docs/rfcs/025-generation-numbers.md)
self.deletion_queue_client
.update_remote_consistent_lsn(
self.tenant_shard_id,
self.timeline_id,
self.generation,
lsn,
slot,
)
.await;
}
self.metric_end(&task.op);
}
fn metric_impl(
&self,
op: &UploadOp,
) -> Option<(
RemoteOpFileKind,
RemoteOpKind,
RemoteTimelineClientMetricsCallTrackSize,
)> {
use RemoteTimelineClientMetricsCallTrackSize::DontTrackSize;
let res = match op {
UploadOp::UploadLayer(_, m) => (
RemoteOpFileKind::Layer,
RemoteOpKind::Upload,
RemoteTimelineClientMetricsCallTrackSize::Bytes(m.file_size()),
),
UploadOp::UploadMetadata(_, _) => (
RemoteOpFileKind::Index,
RemoteOpKind::Upload,
DontTrackSize {
reason: "metadata uploads are tiny",
},
),
UploadOp::Delete(_delete) => (
RemoteOpFileKind::Layer,
RemoteOpKind::Delete,
DontTrackSize {
reason: "should we track deletes? positive or negative sign?",
},
),
UploadOp::Barrier(..) | UploadOp::Shutdown => {
// we do not account these
return None;
}
};
Some(res)
}
fn metric_begin(&self, op: &UploadOp) {
let (file_kind, op_kind, track_bytes) = match self.metric_impl(op) {
Some(x) => x,
None => return,
};
let guard = self.metrics.call_begin(&file_kind, &op_kind, track_bytes);
guard.will_decrement_manually(); // in metric_end(), see right below
}
fn metric_end(&self, op: &UploadOp) {
let (file_kind, op_kind, track_bytes) = match self.metric_impl(op) {
Some(x) => x,
None => return,
};
self.metrics.call_end(&file_kind, &op_kind, track_bytes);
}
/// Close the upload queue for new operations and cancel queued operations.
///
/// Use [`RemoteTimelineClient::shutdown`] for graceful stop.
///
/// In-progress operations will still be running after this function returns.
/// Use `task_mgr::shutdown_tasks(None, Some(self.tenant_id), Some(timeline_id))`
/// to wait for them to complete, after calling this function.
pub(crate) fn stop(&self) -> Result<(), StopError> {
// Whichever *task* for this RemoteTimelineClient grabs the mutex first will transition the queue
// into stopped state, thereby dropping all off the queued *ops* which haven't become *tasks* yet.
// The other *tasks* will come here and observe an already shut down queue and hence simply wrap up their business.
let mut guard = self.upload_queue.lock().unwrap();
match &mut *guard {
UploadQueue::Uninitialized => Err(StopError::QueueUninitialized),
UploadQueue::Stopped(_) => {
// nothing to do
info!("another concurrent task already shut down the queue");
Ok(())
}
UploadQueue::Initialized(initialized) => {
info!("shutting down upload queue");
// Replace the queue with the Stopped state, taking ownership of the old
// Initialized queue. We will do some checks on it, and then drop it.
let qi = {
// Here we preserve working version of the upload queue for possible use during deletions.
// In-place replace of Initialized to Stopped can be done with the help of https://github.com/Sgeo/take_mut
// but for this use case it doesnt really makes sense to bring unsafe code only for this usage point.
// Deletion is not really perf sensitive so there shouldnt be any problems with cloning a fraction of it.
let upload_queue_for_deletion = UploadQueueInitialized {
task_counter: 0,
latest_files: initialized.latest_files.clone(),
latest_files_changes_since_metadata_upload_scheduled: 0,
latest_metadata: initialized.latest_metadata.clone(),
projected_remote_consistent_lsn: None,
visible_remote_consistent_lsn: initialized
.visible_remote_consistent_lsn
.clone(),
num_inprogress_layer_uploads: 0,
num_inprogress_metadata_uploads: 0,
num_inprogress_deletions: 0,
inprogress_tasks: HashMap::default(),
queued_operations: VecDeque::default(),
#[cfg(feature = "testing")]
dangling_files: HashMap::default(),
shutting_down: false,
shutdown_ready: Arc::new(tokio::sync::Semaphore::new(0)),
};
let upload_queue = std::mem::replace(
&mut *guard,
UploadQueue::Stopped(UploadQueueStopped {
upload_queue_for_deletion,
deleted_at: SetDeletedFlagProgress::NotRunning,
}),
);
if let UploadQueue::Initialized(qi) = upload_queue {
qi
} else {
unreachable!("we checked in the match above that it is Initialized");
}
};
// consistency check
assert_eq!(
qi.num_inprogress_layer_uploads
+ qi.num_inprogress_metadata_uploads
+ qi.num_inprogress_deletions,
qi.inprogress_tasks.len()
);
// We don't need to do anything here for in-progress tasks. They will finish
// on their own, decrement the unfinished-task counter themselves, and observe
// that the queue is Stopped.
drop(qi.inprogress_tasks);
// Tear down queued ops
for op in qi.queued_operations.into_iter() {
self.metric_end(&op);
// Dropping UploadOp::Barrier() here will make wait_completion() return with an Err()
// which is exactly what we want to happen.
drop(op);
}
// We're done.
drop(guard);
Ok(())
}
}
}
}
pub fn remote_timelines_path(tenant_shard_id: &TenantShardId) -> RemotePath {
let path = format!("tenants/{tenant_shard_id}/{TIMELINES_SEGMENT_NAME}");
RemotePath::from_string(&path).expect("Failed to construct path")
}
fn remote_timelines_path_unsharded(tenant_id: &TenantId) -> RemotePath {
let path = format!("tenants/{tenant_id}/{TIMELINES_SEGMENT_NAME}");
RemotePath::from_string(&path).expect("Failed to construct path")
}
pub fn remote_timeline_path(
tenant_shard_id: &TenantShardId,
timeline_id: &TimelineId,
) -> RemotePath {
remote_timelines_path(tenant_shard_id).join(Utf8Path::new(&timeline_id.to_string()))
}
/// Note that the shard component of a remote layer path is _not_ always the same
/// as in the TenantShardId of the caller: tenants may reference layers from a different
/// ShardIndex. Use the ShardIndex from the layer's metadata.
pub fn remote_layer_path(
tenant_id: &TenantId,
timeline_id: &TimelineId,
shard: ShardIndex,
layer_file_name: &LayerFileName,
generation: Generation,
) -> RemotePath {
// Generation-aware key format
let path = format!(
"tenants/{tenant_id}{0}/{TIMELINES_SEGMENT_NAME}/{timeline_id}/{1}{2}",
shard.get_suffix(),
layer_file_name.file_name(),
generation.get_suffix()
);
RemotePath::from_string(&path).expect("Failed to construct path")
}
pub fn remote_initdb_archive_path(tenant_id: &TenantId, timeline_id: &TimelineId) -> RemotePath {
RemotePath::from_string(&format!(
"tenants/{tenant_id}/{TIMELINES_SEGMENT_NAME}/{timeline_id}/{INITDB_PATH}"
))
.expect("Failed to construct path")
}
pub fn remote_initdb_preserved_archive_path(
tenant_id: &TenantId,
timeline_id: &TimelineId,
) -> RemotePath {
RemotePath::from_string(&format!(
"tenants/{tenant_id}/{TIMELINES_SEGMENT_NAME}/{timeline_id}/{INITDB_PRESERVED_PATH}"
))
.expect("Failed to construct path")
}
pub fn remote_index_path(
tenant_shard_id: &TenantShardId,
timeline_id: &TimelineId,
generation: Generation,
) -> RemotePath {
RemotePath::from_string(&format!(
"tenants/{tenant_shard_id}/{TIMELINES_SEGMENT_NAME}/{timeline_id}/{0}{1}",
IndexPart::FILE_NAME,
generation.get_suffix()
))
.expect("Failed to construct path")
}
pub(crate) fn remote_heatmap_path(tenant_shard_id: &TenantShardId) -> RemotePath {
RemotePath::from_string(&format!(
"tenants/{tenant_shard_id}/{TENANT_HEATMAP_BASENAME}"
))
.expect("Failed to construct path")
}
/// Given the key of an index, parse out the generation part of the name
pub fn parse_remote_index_path(path: RemotePath) -> Option<Generation> {
let file_name = match path.get_path().file_name() {
Some(f) => f,
None => {
// Unexpected: we should be seeing index_part.json paths only
tracing::warn!("Malformed index key {}", path);
return None;
}
};
match file_name.split_once('-') {
Some((_, gen_suffix)) => Generation::parse_suffix(gen_suffix),
None => None,
}
}
/// Files on the remote storage are stored with paths, relative to the workdir.
/// That path includes in itself both tenant and timeline ids, allowing to have a unique remote storage path.
///
/// Errors if the path provided does not start from pageserver's workdir.
pub fn remote_path(
conf: &PageServerConf,
local_path: &Utf8Path,
generation: Generation,
) -> anyhow::Result<RemotePath> {
let stripped = local_path
.strip_prefix(&conf.workdir)
.context("Failed to strip workdir prefix")?;
let suffixed = format!("{0}{1}", stripped, generation.get_suffix());
RemotePath::new(Utf8Path::new(&suffixed)).with_context(|| {
format!(
"to resolve remote part of path {:?} for base {:?}",
local_path, conf.workdir
)
})
}
#[cfg(test)]
mod tests {
use super::*;
use crate::{
context::RequestContext,
tenant::{
harness::{TenantHarness, TIMELINE_ID},
Tenant, Timeline,
},
DEFAULT_PG_VERSION,
};
use std::collections::HashSet;
pub(super) fn dummy_contents(name: &str) -> Vec<u8> {
format!("contents for {name}").into()
}
pub(super) fn dummy_metadata(disk_consistent_lsn: Lsn) -> TimelineMetadata {
let metadata = TimelineMetadata::new(
disk_consistent_lsn,
None,
None,
Lsn(0),
Lsn(0),
Lsn(0),
// Any version will do
// but it should be consistent with the one in the tests
crate::DEFAULT_PG_VERSION,
);
// go through serialize + deserialize to fix the header, including checksum
TimelineMetadata::from_bytes(&metadata.to_bytes().unwrap()).unwrap()
}
fn assert_file_list(a: &HashSet<LayerFileName>, b: &[&str]) {
let mut avec: Vec<String> = a.iter().map(|x| x.file_name()).collect();
avec.sort();
let mut bvec = b.to_vec();
bvec.sort_unstable();
assert_eq!(avec, bvec);
}
fn assert_remote_files(expected: &[&str], remote_path: &Utf8Path, generation: Generation) {
let mut expected: Vec<String> = expected
.iter()
.map(|x| format!("{}{}", x, generation.get_suffix()))
.collect();
expected.sort();
let mut found: Vec<String> = Vec::new();
for entry in std::fs::read_dir(remote_path).unwrap().flatten() {
let entry_name = entry.file_name();
let fname = entry_name.to_str().unwrap();
found.push(String::from(fname));
}
found.sort();
assert_eq!(found, expected);
}
struct TestSetup {
harness: TenantHarness,
tenant: Arc<Tenant>,
timeline: Arc<Timeline>,
tenant_ctx: RequestContext,
}
impl TestSetup {
async fn new(test_name: &str) -> anyhow::Result<Self> {
let test_name = Box::leak(Box::new(format!("remote_timeline_client__{test_name}")));
let harness = TenantHarness::create(test_name)?;
let (tenant, ctx) = harness.load().await;
let timeline = tenant
.create_test_timeline(TIMELINE_ID, Lsn(8), DEFAULT_PG_VERSION, &ctx)
.await?;
Ok(Self {
harness,
tenant,
timeline,
tenant_ctx: ctx,
})
}
/// Construct a RemoteTimelineClient in an arbitrary generation
fn build_client(&self, generation: Generation) -> Arc<RemoteTimelineClient> {
Arc::new(RemoteTimelineClient {
conf: self.harness.conf,
runtime: tokio::runtime::Handle::current(),
tenant_shard_id: self.harness.tenant_shard_id,
timeline_id: TIMELINE_ID,
generation,
storage_impl: self.harness.remote_storage.clone(),
deletion_queue_client: self.harness.deletion_queue.new_client(),
upload_queue: Mutex::new(UploadQueue::Uninitialized),
metrics: Arc::new(RemoteTimelineClientMetrics::new(
&self.harness.tenant_shard_id,
&TIMELINE_ID,
)),
cancel: CancellationToken::new(),
})
}
/// A tracing::Span that satisfies remote_timeline_client methods that assert tenant_id
/// and timeline_id are present.
fn span(&self) -> tracing::Span {
tracing::info_span!(
"test",
tenant_id = %self.harness.tenant_shard_id.tenant_id,
shard_id = %self.harness.tenant_shard_id.shard_slug(),
timeline_id = %TIMELINE_ID
)
}
}
// Test scheduling
#[tokio::test]
async fn upload_scheduling() {
// Test outline:
//
// Schedule upload of a bunch of layers. Check that they are started immediately, not queued
// Schedule upload of index. Check that it is queued
// let the layer file uploads finish. Check that the index-upload is now started
// let the index-upload finish.
//
// Download back the index.json. Check that the list of files is correct
//
// Schedule upload. Schedule deletion. Check that the deletion is queued
// let upload finish. Check that deletion is now started
// Schedule another deletion. Check that it's launched immediately.
// Schedule index upload. Check that it's queued
let test_setup = TestSetup::new("upload_scheduling").await.unwrap();
let span = test_setup.span();
let _guard = span.enter();
let TestSetup {
harness,
tenant: _tenant,
timeline,
tenant_ctx: _tenant_ctx,
} = test_setup;
let client = timeline.remote_client.as_ref().unwrap();
// Download back the index.json, and check that the list of files is correct
let initial_index_part = match client
.download_index_file(&CancellationToken::new())
.await
.unwrap()
{
MaybeDeletedIndexPart::IndexPart(index_part) => index_part,
MaybeDeletedIndexPart::Deleted(_) => panic!("unexpectedly got deleted index part"),
};
let initial_layers = initial_index_part
.layer_metadata
.keys()
.map(|f| f.to_owned())
.collect::<HashSet<LayerFileName>>();
let initial_layer = {
assert!(initial_layers.len() == 1);
initial_layers.into_iter().next().unwrap()
};
let timeline_path = harness.timeline_path(&TIMELINE_ID);
println!("workdir: {}", harness.conf.workdir);
let remote_timeline_dir = harness
.remote_fs_dir
.join(timeline_path.strip_prefix(&harness.conf.workdir).unwrap());
println!("remote_timeline_dir: {remote_timeline_dir}");
let generation = harness.generation;
let shard = harness.shard;
// Create a couple of dummy files, schedule upload for them
let layers = [
("000000000000000000000000000000000000-FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF__00000000016B59D8-00000000016B5A51".parse().unwrap(), dummy_contents("foo")),
("000000000000000000000000000000000000-FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF__00000000016B59D9-00000000016B5A52".parse().unwrap(), dummy_contents("bar")),
("000000000000000000000000000000000000-FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF__00000000016B59DA-00000000016B5A53".parse().unwrap(), dummy_contents("baz"))
]
.into_iter()
.map(|(name, contents): (LayerFileName, Vec<u8>)| {
std::fs::write(timeline_path.join(name.file_name()), &contents).unwrap();
Layer::for_resident(
harness.conf,
&timeline,
name,
LayerFileMetadata::new(contents.len() as u64, generation, shard),
)
}).collect::<Vec<_>>();
client
.schedule_layer_file_upload(layers[0].clone())
.unwrap();
client
.schedule_layer_file_upload(layers[1].clone())
.unwrap();
// Check that they are started immediately, not queued
//
// this works because we running within block_on, so any futures are now queued up until
// our next await point.
{
let mut guard = client.upload_queue.lock().unwrap();
let upload_queue = guard.initialized_mut().unwrap();
assert!(upload_queue.queued_operations.is_empty());
assert!(upload_queue.inprogress_tasks.len() == 2);
assert!(upload_queue.num_inprogress_layer_uploads == 2);
// also check that `latest_file_changes` was updated
assert!(upload_queue.latest_files_changes_since_metadata_upload_scheduled == 2);
}
// Schedule upload of index. Check that it is queued
let metadata = dummy_metadata(Lsn(0x20));
client
.schedule_index_upload_for_metadata_update(&metadata)
.unwrap();
{
let mut guard = client.upload_queue.lock().unwrap();
let upload_queue = guard.initialized_mut().unwrap();
assert!(upload_queue.queued_operations.len() == 1);
assert!(upload_queue.latest_files_changes_since_metadata_upload_scheduled == 0);
}
// Wait for the uploads to finish
client.wait_completion().await.unwrap();
{
let mut guard = client.upload_queue.lock().unwrap();
let upload_queue = guard.initialized_mut().unwrap();
assert!(upload_queue.queued_operations.is_empty());
assert!(upload_queue.inprogress_tasks.is_empty());
}
// Download back the index.json, and check that the list of files is correct
let index_part = match client
.download_index_file(&CancellationToken::new())
.await
.unwrap()
{
MaybeDeletedIndexPart::IndexPart(index_part) => index_part,
MaybeDeletedIndexPart::Deleted(_) => panic!("unexpectedly got deleted index part"),
};
assert_file_list(
&index_part
.layer_metadata
.keys()
.map(|f| f.to_owned())
.collect(),
&[
&initial_layer.file_name(),
&layers[0].layer_desc().filename().file_name(),
&layers[1].layer_desc().filename().file_name(),
],
);
assert_eq!(index_part.metadata, metadata);
// Schedule upload and then a deletion. Check that the deletion is queued
client
.schedule_layer_file_upload(layers[2].clone())
.unwrap();
// this is no longer consistent with how deletion works with Layer::drop, but in this test
// keep using schedule_layer_file_deletion because we don't have a way to wait for the
// spawn_blocking started by the drop.
client
.schedule_layer_file_deletion(&[layers[0].layer_desc().filename()])
.unwrap();
{
let mut guard = client.upload_queue.lock().unwrap();
let upload_queue = guard.initialized_mut().unwrap();
// Deletion schedules upload of the index file, and the file deletion itself
assert_eq!(upload_queue.queued_operations.len(), 2);
assert_eq!(upload_queue.inprogress_tasks.len(), 1);
assert_eq!(upload_queue.num_inprogress_layer_uploads, 1);
assert_eq!(upload_queue.num_inprogress_deletions, 0);
assert_eq!(
upload_queue.latest_files_changes_since_metadata_upload_scheduled,
0
);
}
assert_remote_files(
&[
&initial_layer.file_name(),
&layers[0].layer_desc().filename().file_name(),
&layers[1].layer_desc().filename().file_name(),
"index_part.json",
],
&remote_timeline_dir,
generation,
);
// Finish them
client.wait_completion().await.unwrap();
harness.deletion_queue.pump().await;
assert_remote_files(
&[
&initial_layer.file_name(),
&layers[1].layer_desc().filename().file_name(),
&layers[2].layer_desc().filename().file_name(),
"index_part.json",
],
&remote_timeline_dir,
generation,
);
}
#[tokio::test]
async fn bytes_unfinished_gauge_for_layer_file_uploads() {
// Setup
let TestSetup {
harness,
tenant: _tenant,
timeline,
..
} = TestSetup::new("metrics").await.unwrap();
let client = timeline.remote_client.as_ref().unwrap();
let timeline_path = harness.timeline_path(&TIMELINE_ID);
let layer_file_name_1: LayerFileName = "000000000000000000000000000000000000-FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF__00000000016B59D8-00000000016B5A51".parse().unwrap();
let content_1 = dummy_contents("foo");
std::fs::write(
timeline_path.join(layer_file_name_1.file_name()),
&content_1,
)
.unwrap();
let layer_file_1 = Layer::for_resident(
harness.conf,
&timeline,
layer_file_name_1.clone(),
LayerFileMetadata::new(content_1.len() as u64, harness.generation, harness.shard),
);
#[derive(Debug, PartialEq, Clone, Copy)]
struct BytesStartedFinished {
started: Option<usize>,
finished: Option<usize>,
}
impl std::ops::Add for BytesStartedFinished {
type Output = Self;
fn add(self, rhs: Self) -> Self::Output {
Self {
started: self.started.map(|v| v + rhs.started.unwrap_or(0)),
finished: self.finished.map(|v| v + rhs.finished.unwrap_or(0)),
}
}
}
let get_bytes_started_stopped = || {
let started = client
.metrics
.get_bytes_started_counter_value(&RemoteOpFileKind::Layer, &RemoteOpKind::Upload)
.map(|v| v.try_into().unwrap());
let stopped = client
.metrics
.get_bytes_finished_counter_value(&RemoteOpFileKind::Layer, &RemoteOpKind::Upload)
.map(|v| v.try_into().unwrap());
BytesStartedFinished {
started,
finished: stopped,
}
};
// Test
tracing::info!("now doing actual test");
let actual_a = get_bytes_started_stopped();
client
.schedule_layer_file_upload(layer_file_1.clone())
.unwrap();
let actual_b = get_bytes_started_stopped();
client.wait_completion().await.unwrap();
let actual_c = get_bytes_started_stopped();
// Validate
let expected_b = actual_a
+ BytesStartedFinished {
started: Some(content_1.len()),
// assert that the _finished metric is created eagerly so that subtractions work on first sample
finished: Some(0),
};
assert_eq!(actual_b, expected_b);
let expected_c = actual_a
+ BytesStartedFinished {
started: Some(content_1.len()),
finished: Some(content_1.len()),
};
assert_eq!(actual_c, expected_c);
}
async fn inject_index_part(test_state: &TestSetup, generation: Generation) -> IndexPart {
// An empty IndexPart, just sufficient to ensure deserialization will succeed
let example_metadata = TimelineMetadata::example();
let example_index_part = IndexPart::new(
HashMap::new(),
example_metadata.disk_consistent_lsn(),
example_metadata,
);
let index_part_bytes = serde_json::to_vec(&example_index_part).unwrap();
let index_path = test_state.harness.remote_fs_dir.join(
remote_index_path(
&test_state.harness.tenant_shard_id,
&TIMELINE_ID,
generation,
)
.get_path(),
);
std::fs::create_dir_all(index_path.parent().unwrap())
.expect("creating test dir should work");
eprintln!("Writing {index_path}");
std::fs::write(&index_path, index_part_bytes).unwrap();
example_index_part
}
/// Assert that when a RemoteTimelineclient in generation `get_generation` fetches its
/// index, the IndexPart returned is equal to `expected`
async fn assert_got_index_part(
test_state: &TestSetup,
get_generation: Generation,
expected: &IndexPart,
) {
let client = test_state.build_client(get_generation);
let download_r = client
.download_index_file(&CancellationToken::new())
.await
.expect("download should always succeed");
assert!(matches!(download_r, MaybeDeletedIndexPart::IndexPart(_)));
match download_r {
MaybeDeletedIndexPart::IndexPart(index_part) => {
assert_eq!(&index_part, expected);
}
MaybeDeletedIndexPart::Deleted(_index_part) => panic!("Test doesn't set deleted_at"),
}
}
#[tokio::test]
async fn index_part_download_simple() -> anyhow::Result<()> {
let test_state = TestSetup::new("index_part_download_simple").await.unwrap();
let span = test_state.span();
let _guard = span.enter();
// Simple case: we are in generation N, load the index from generation N - 1
let generation_n = 5;
let injected = inject_index_part(&test_state, Generation::new(generation_n - 1)).await;
assert_got_index_part(&test_state, Generation::new(generation_n), &injected).await;
Ok(())
}
#[tokio::test]
async fn index_part_download_ordering() -> anyhow::Result<()> {
let test_state = TestSetup::new("index_part_download_ordering")
.await
.unwrap();
let span = test_state.span();
let _guard = span.enter();
// A generation-less IndexPart exists in the bucket, we should find it
let generation_n = 5;
let injected_none = inject_index_part(&test_state, Generation::none()).await;
assert_got_index_part(&test_state, Generation::new(generation_n), &injected_none).await;
// If a more recent-than-none generation exists, we should prefer to load that
let injected_1 = inject_index_part(&test_state, Generation::new(1)).await;
assert_got_index_part(&test_state, Generation::new(generation_n), &injected_1).await;
// If a more-recent-than-me generation exists, we should ignore it.
let _injected_10 = inject_index_part(&test_state, Generation::new(10)).await;
assert_got_index_part(&test_state, Generation::new(generation_n), &injected_1).await;
// If a directly previous generation exists, _and_ an index exists in my own
// generation, I should prefer my own generation.
let _injected_prev =
inject_index_part(&test_state, Generation::new(generation_n - 1)).await;
let injected_current = inject_index_part(&test_state, Generation::new(generation_n)).await;
assert_got_index_part(
&test_state,
Generation::new(generation_n),
&injected_current,
)
.await;
Ok(())
}
}