Initial logical size calculation could still hinder our fast startup
efforts in #4397. See #4183. In deployment of 2023-06-06
about a 200 initial logical sizes were calculated on hosts which
took the longest to complete initial load (12s).
Implements the three step/tier initialization ordering described in
#4397:
1. load local tenants
2. do initial logical sizes per walreceivers for 10s
3. background tasks
Ordering is controlled by:
- waiting on `utils::completion::Barrier`s on background tasks
- having one attempt for each Timeline to do initial logical size
calculation
- `pageserver/src/bin/pageserver.rs` releasing background jobs after
timeout or completion of initial logical size calculation
The timeout is there just to safeguard in case a legitimate non-broken
timeline initial logical size calculation goes long. The timeout is
configurable, by default 10s, which I think would be fine for production
systems. In the test cases I've been looking at, it seems that these
steps are completed as fast as possible.
Co-authored-by: Christian Schwarz <christian@neon.tech>
We have 2 ways of tenant shutdown, we should have just one.
Changes are mostly mechanical simple refactorings.
Added `warn!` on the "shutdown all remaining tasks" should trigger test
failures in the between time of not having solved the "tenant/timeline
owns all spawned tasks" issue.
Cc: #4327.
This is preliminary work for/from #4220 (async
`Layer::get_value_reconstruct_data`).
The motivation is to avoid locking `Tenant::timelines` in places that
can't be `async`, because in #4333 we want to convert Tenant::timelines
from `std::sync::Mutex` to `tokio::sync::Mutex`.
But, the changes here are useful in general because they clean up &
document tenant state transitions.
That also paves the way for #4350, which is an alternative to #4333 that
refactors the pageserver code so that we can keep the
`Tenant::timelines` mutex sync.
This patch consists of the following core insights and changes:
* spawn_load and spawn_attach own the tenant state until they're done
* once load()/attach() calls are done ...
* if they failed, transition them to Broken directly (we know that
there's no background activity because we didn't call activate yet)
* if they succeed, call activate. We can make it infallible. How? Later.
* set_broken() and set_stopping() are changed to wait for spawn_load() /
spawn_attach() to finish.
* This sounds scary because it might hinder detach or shutdown, but
actually, concurrent attach+detach, or attach+shutdown, or
load+shutdown, or attach+shutdown were just racy before this PR.
So, with this change, they're not anymore.
In the future, we can add a `CancellationToken` stored in Tenant to
cancel `load` and `attach` faster, i.e., make `spawn_load` /
`spawn_attach` transition them to Broken state sooner.
See the doc comments on TenantState for the state transitions that are
now possible.
It might seem scary, but actually, this patch reduces the possible state
transitions.
We introduce a new state `TenantState::Activating` to avoid grabbing the
`Tenant::timelines` lock inside the `send_modify` closure.
These were the humble beginnings of this PR (see Motivation section),
and I think it's still the right thing to have this `Activating` state,
even if we decide against async `Tenant::timelines` mutex. The reason is
that `send_modify` locks internally, and by moving locking of
Tenant::timelines out of the closure, the internal locking of
`send_modify` becomes a leaf of the lock graph, and so, we eliminate
deadlock risk.
Co-authored-by: Joonas Koivunen <joonas@neon.tech>
(This is prep work to make `Timeline::activate` infallible.)
This patch removes the global storage_broker client instance from the
pageserver codebase.
Instead, pageserver startup instantiates it and passes it down to the
`Timeline::activate` function, which in turn passes it to the
WalReceiver, which is the entity that actually uses it.
Patch series:
- #4316
- #4317
- #4318
- #4319
This patch adds a pageserver-global background loop that evicts layers
in response to a shortage of available bytes in the $repo/tenants
directory's filesystem.
The loop runs periodically at a configurable `period`.
Each loop iteration uses `statvfs` to determine filesystem-level space
usage. It compares the returned usage data against two different types
of thresholds. The iteration tries to evict layers until app-internal
accounting says we should be below the thresholds. We cross-check this
internal accounting with the real world by making another `statvfs` at
the end of the iteration. We're good if that second statvfs shows that
we're _actually_ below the configured thresholds. If we're still above
one or more thresholds, we emit a warning log message, leaving it to the
operator to investigate further.
There are two thresholds:
- `max_usage_pct` is the relative available space, expressed in percent
of the total filesystem space. If the actual usage is higher, the
threshold is exceeded.
- `min_avail_bytes` is the absolute available space in bytes. If the
actual usage is lower, the threshold is exceeded.
The iteration evicts layers in LRU fashion with a reservation of up to
`tenant_min_resident_size` bytes of the most recent layers per tenant.
The layers not part of the per-tenant reservation are evicted
least-recently-used first until we're below all thresholds. The
`tenant_min_resident_size` can be overridden per tenant as
`min_resident_size_override` (bytes).
In addition to the loop, there is also an HTTP endpoint to perform one
loop iteration synchronous to the request. The endpoint takes an
absolute number of bytes that the iteration needs to evict before
pressure is relieved. The tests use this endpoint, which is a great
simplification over setting up loopback-mounts in the tests, which would
be required to test the statvfs part of the implementation. We will rely
on manual testing in staging to test the statvfs parts.
The HTTP endpoint is also handy in emergencies where an operator wants
the pageserver to evict a given amount of space _now. Hence, it's
arguments documented in openapi_spec.yml. The response type isn't
documented though because we don't consider it stable. The endpoint
should _not_ be used by Console but it could be used by on-call.
Co-authored-by: Joonas Koivunen <joonas@neon.tech>
Co-authored-by: Dmitry Rodionov <dmitry@neon.tech>
Co-authored-by: Heikki Linnakangas <heikki@neon.tech>
Walreceiver is a per-timeline abstraction. Move it there to reflect
the hierarchy of abstractions and task_mgr tasks.
The code that sets up the global storage_broker client
is not timeline-scoped. So, break it out into a separate module.
The motivation for this change is to prepare the code base for replacing
the task_mgr global task registry with a more ownership-oriented
approach to manage task lifetimes.
I removed TaskStateUpdate::Init because, after doing the changes,
rustc warned that it was never constructed.
A quick search through the commit history shows that this
has always been true since
commit fb68d01449
Author: Dmitry Rodionov <dmitry@neon.tech>
Date: Mon Sep 26 23:57:02 2022 +0300
Preserve task result in TaskHandle by keeping join handle around (#2521)
So, the warning is not an indication of some accidental code removal.
This is PR: https://github.com/neondatabase/neon/pull/3456
Motivation
==========
Layer Eviction Needs Context
----------------------------
Before we start implementing layer eviction, we need to collect some
access statistics per layer file or maybe even page.
Part of these statistics should be the initiator of a page read request
to answer the question of whether it was page_service vs. one of the
background loops, and if the latter, which of them?
Further, it would be nice to learn more about what activity in the pageserver
initiated an on-demand download of a layer file.
We will use this information to test out layer eviction policies.
Read more about the current plan for layer eviction here:
https://github.com/neondatabase/neon/issues/2476#issuecomment-1370822104
task_mgr problems + cancellation + tenant/timeline lifecycle
------------------------------------------------------------
Apart from layer eviction, we have long-standing problems with task_mgr,
task cancellation, and various races around tenant / timeline lifecycle
transitions.
One approach to solve these is to abandon task_mgr in favor of a
mechanism similar to Golang's context.Context, albeit extended to
support waiting for completion, and specialized to the needs in the
pageserver.
Heikki solves all of the above at once in PR
https://github.com/neondatabase/neon/pull/3228 , which is not yet
merged at the time of writing.
What Is This Patch About
========================
This patch addresses the immediate needs of layer eviction by
introducing a `RequestContext` structure that is plumbed through the
pageserver - all the way from the various entrypoints (page_service,
management API, tenant background loops) down to
Timeline::{get,get_reconstruct_data}.
The struct carries a description of the kind of activity that initiated
the call. We re-use task_mgr::TaskKind for this.
Also, it carries the desired on-demand download behavior of the entrypoint.
Timeline::get_reconstruct_data can then log the TaskKind that initiated
the on-demand download.
I developed this patch by git-checking-out Heikki's big RequestContext
PR https://github.com/neondatabase/neon/pull/3228 , then deleting all
the functionality that we do not need to address the needs for layer
eviction.
After that, I added a few things on top:
1. The concept of attached_child and detached_child in preparation for
cancellation signalling through RequestContext, which will be added in
a future patch.
2. A kill switch to turn DownloadBehavior::Error into a warning.
3. Renamed WalReceiverConnection to WalReceiverConnectionPoller and
added an additional TaskKind WalReceiverConnectionHandler.These were
necessary to create proper detached_child-type RequestContexts for the
various tasks that walreceiver starts.
How To Review This Patch
========================
Start your review with the module-level comment in context.rs.
It explains the idea of RequestContext, what parts of it are implemented
in this patch, and the future plans for RequestContext.
Then review the various `task_mgr::spawn` call sites. At each of them,
we should be creating a new detached_child RequestContext.
Then review the (few) RequestContext::attached_child call sites and
ensure that the spawned tasks do not outlive the task that spawns them.
If they do, these call sites should use detached_child() instead.
Then review the todo_child() call sites and judge whether it's worth the
trouble of plumbing through a parent context from the caller(s).
Lastly, go through the bulk of mechanical changes that simply forwards
the &ctx.
It was nice to have and useful at the time, but unfortunately the method
used to gather the profiling data doesn't play nicely with 'async'. PR
#3228 will turn 'get_page_at_lsn' function async, which will break the
profiling support. Let's remove it, and re-introduce some kind of
profiling later, using some different method, if we feel like we need it
again.
The code in this change was extracted from #2595 (Heikki’s on-demand
download draft PR).
High-Level Changes
- New RemoteLayer Type
- On-Demand Download As An Effect Of Page Reconstruction
- Breaking Semantics For Physical Size Metrics
There are several follow-up work items planned.
Refer to the Epic issue on GitHub: https://github.com/neondatabase/neon/issues/2029
closes https://github.com/neondatabase/neon/pull/3013
Co-authored-by: Kirill Bulatov <kirill@neon.tech>
Co-authored-by: Christian Schwarz <christian@neon.tech>
New RemoteLayer Type
====================
Instead of downloading all layers during tenant attach, we create
RemoteLayer instances for each of them and add them to the layer map.
On-Demand Download As An Effect Of Page Reconstruction
======================================================
At the heart of pageserver is Timeline::get_reconstruct_data(). It
traverses the layer map until it has collected all the data it needs to
produce the page image. Most code in the code base uses it, though many
layers of indirection.
Before this patch, the function would use synchronous filesystem IO to
load data from disk-resident layer files if the data was not cached.
That is not possible with RemoteLayer, because the layer file has not
been downloaded yet. So, we do the download when get_reconstruct_data
gets there, i.e., “on demand”.
The mechanics of how the download is done are rather involved, because
of the infamous async-sync-async sandwich problem that plagues the async
Rust world. We use the new PageReconstructResult type to work around
this. Its introduction is the cause for a good amount of code churn in
this patch. Refer to the block comment on `with_ondemand_download()`
for details.
Breaking Semantics For Physical Size Metrics
============================================
We rename prometheus metric pageserver_{current,resident}_physical_size to
reflect what this metric actually represents with on-demand download.
This intentionally BREAKS existing grafana dashboard and the cost model data
pipeline. Breaking is desirable because the meaning of this metrics has changed
with on-demand download. See
https://docs.google.com/document/d/12AFpvKY-7FZdR5a4CaD6Ir_rI3QokdCLSPJ6upHxJBo/edit#
for how we will handle this breakage.
Likewise, we rename the new billing_metrics’s PhysicalSize => ResidentSize.
This is not yet used anywhere, so, this is not a breaking change.
There is still a field called TimelineInfo::current_physical_size. It
is now the sum of the layer sizes in layer map, regardless of whether
local or remote. To compute that sum, we added a new trait method
PersistentLayer::file_size().
When updating the Python tests, we got rid of
current_physical_size_non_incremental. An earlier commit removed it from
the OpenAPI spec already, so this is not a breaking change.
test_timeline_size.py has grown additional assertions on the
resident_physical_size metric.
Add new background job to collect billing metrics for each tenant and
send them to the HTTP endpoint.
Metrics are cached, so we don't send non-changed metrics.
Add metric collection config parameters:
metric_collection_endpoint (default None, i.e. disabled)
metric_collection_interval (default 60s)
Add test_metric_collection.py to test metric collection
and sending to the mocked HTTP endpoint.
Use port distributor in metric_collection test
review fixes: only update cache after metrics were send successfully, simplify code
disable metric collection if metric_collection_endpoint is not provided in config
The new Timeline::freeze_and_flush function is equivalent to calling
Timeline::checkpoint(CheckpointConfig::Flush). There were only one
non-test caller that used CheckpointConfig::Forced, so replace that
with a call to the new Timeline::freeze_and_flush, followed by an
explicit call to Timeline::compact.
That only caller was to handle the mgmt API's 'checkpoint' endpoint.
Perhaps we should split that into separate 'flush' and 'compact'
endpoints too, but I didn't go that far yet.
Closes https://github.com/neondatabase/neon/issues/2537
Follow-up of https://github.com/neondatabase/neon/pull/2950
With the new model that prevents attaching without the remote storage,
it has started to be even more odd to add attach-with-files
functionality (in addition to the issues raised previously).
Adds two separate commands:
* `POST {tenant_id}/ignore` that places a mark file to skip such tenant
on every start and removes it from memory
* `POST {tenant_id}/schedule_load` that tries to load a tenant from
local FS similar to what pageserver does now on startup, but without
directory removals
The code in this change was extracted from PR #2595, i.e., Heikki’s draft
PR for on-demand download.
High-Level Changes
- storage_sync module rewrite
- Changes to Tenant Loading
- Changes to Timeline States
- Crash-safe & Resumable Tenant Attach
There are several follow-up work items planned.
Refer to the Epic issue on GitHub:
https://github.com/neondatabase/neon/issues/2029
Metadata:
closes https://github.com/neondatabase/neon/pull/2785
unsquashed history of this patch: archive/pr-2785-storage-sync2/pre-squash
Co-authored-by: Dmitry Rodionov <dmitry@neon.tech>
Co-authored-by: Christian Schwarz <christian@neon.tech>
===============================================================================
storage_sync module rewrite
===========================
The storage_sync code is rewritten. New module name is storage_sync2, mostly to
make a more reasonable git diff.
The updated block comment in storage_sync2.rs describes the changes quite well,
so, we will not reproduce that comment here. TL;DR:
- Global sync queue and RemoteIndex are replaced with per-timeline
`RemoteTimelineClient` structure that contains a queue for UploadOperations
to ensure proper ordering and necessary metadata.
- Before deleting local layer files, wait for ongoing UploadOps to finish
(wait_completion()).
- Download operations are not queued and executed immediately.
Changes to Tenant Loading
=========================
Initial sync part was rewritten as well and represents the other major change
that serves as a foundation for on-demand downloads. Routines for attaching and
loading shifted directly to Tenant struct and now are asynchronous and spawned
into the background.
Since this patch doesn’t introduce on-demand download of layers we fully
synchronize with the remote during pageserver startup. See details in
`Timeline::reconcile_with_remote` and `Timeline::download_missing`.
Changes to Tenant States
========================
The “Active” state has lost its “background_jobs_running: bool” member. That
variable indicated whether the GC & Compaction background loops are spawned or
not. With this patch, they are now always spawned. Unit tests (#[test]) use the
TenantConf::{gc_period,compaction_period} to disable their effect (15db566).
This patch introduces a new tenant state, “Attaching”. A tenant that is being
attached starts in this state and transitions to “Active” once it finishes
download.
The `GET /tenant` endpoints returns `TenantInfo::has_in_progress_downloads`. We
derive the value for that field from the tenant state now, to remain
backwards-compatible with cloud.git. We will remove that field when we switch
to on-demand downloads.
Changes to Timeline States
==========================
The TimelineInfo::awaits_download field is now equivalent to the tenant being
in Attaching state. Previously, download progress was tracked per timeline.
With this change, it’s only tracked per tenant. When on-demand downloads
arrive, the field will be completely obsolete. Deprecation is tracked in
isuse #2930.
Crash-safe & Resumable Tenant Attach
====================================
Previously, the attach operation was not persistent. I.e., when tenant attach
was interrupted by a crash, the pageserver would not continue attaching after
pageserver restart. In fact, the half-finished tenant directory on disk would
simply be skipped by tenant_mgr because it lacked the metadata file (it’s
written last). This patch introduces an “attaching” marker file inside that is
present inside the tenant directory while the tenant is attaching. During
pageserver startup, tenant_mgr will resume attach if that file is present. If
not, it assumes that the local tenant state is consistent and tries to load the
tenant. If that fails, the tenant transitions into Broken state.
There will be different scopes for those two, so authorization code should be different.
The `check_permission` function is now not in the shared library. Its implementation
is very similar to the one which will be added for Safekeeper. In fact, we may reuse
the same existing root-like 'PageServerApi' scope, but I would prefer to have separate
root-like scopes for services.
Also, generate_management_token in tests is generate_pageserver_token now.
If we cannot reconstruct an FSM or VM page, while creating image
layers, fill it with zeros instead. That should always be safe, for
the FSM and VM, in the sense that you won't lose actual user data. It
will get cleaned up by VACUUM later.
We had a bug with FSM/VM truncation, where we truncated the FSM and VM
at WAL replay to a smaller size than PostgreSQL originally did. We
thought was harmless, as the FSM and VM are not critical for
correctness and can be zeroed out or truncated without affecting user
data. However, it lead to a situation where PostgreSQL created
incremental WAL records for pages that we had already truncated away
in the pageserver, and when we tried to replay those WAL records, that
failed. That lead to a permanent error in image layer creation, and
prevented it from ever finishing. See
https://github.com/neondatabase/neon/issues/2601. With this patch,
those pages will be filled with zeros in the image layer, which allows
the image layer creation to finish.
- Split postgres_ffi into two version specific files.
- Preserve pg_version in timeline metadata.
- Use pg_version in safekeeper code. Check for postgres major version mismatch.
- Clean up the code to use DEFAULT_PG_VERSION constant everywhere, instead of hardcoding.
- Parameterize python tests: use DEFAULT_PG_VERSION env and pg_version fixture.
To run tests using a specific PostgreSQL version, pass the DEFAULT_PG_VERSION environment variable:
'DEFAULT_PG_VERSION='15' ./scripts/pytest test_runner/regress'
Currently don't all tests pass, because rust code relies on the default version of PostgreSQL in a few places.
Instead of spawning helper threads, we now use Tokio tasks. There
are multiple Tokio runtimes, for different kinds of tasks. One for
serving libpq client connections, another for background operations
like GC and compaction, and so on. That's not strictly required, we
could use just one runtime, but with this you can still get an
overview of what's happening with "top -H".
There's one subtle behavior in how TenantState is updated. Before this
patch, if you deleted all timelines from a tenant, its GC and
compaction loops were stopped, and the tenant went back to Idle
state. We no longer do that. The empty tenant stays Active. The
changes to test_tenant_tasks.py are related to that.
There's still plenty of synchronous code and blocking. For example, we
still use blocking std::io functions for all file I/O, and the
communication with WAL redo processes is still uses low-level unix
poll(). We might want to rewrite those later, but this will do for
now. The model is that local file I/O is considered to be fast enough
that blocking - and preventing other tasks running in the same thread -
is acceptable.
* Add test for pageserver metric cleanup once a tenant is detached.
* Remove tenant specific timeline metrics on detach.
* Use definitions from timeline_metrics in page service.
* Move metrics to own file from layered_repository/timeline.rs
* TIMELINE_METRICS: define smgr metrics
* REMOVE SMGR cleanup from timeline_metrics. Doesn't seem to work as
expected.
* Vritual file centralized metrics, except for evicted file as there's no
tenat id or timeline id.
* Use STORAGE_TIME from timeline_metrics in layered_repository.
* Remove timelineless gc metrics for tenant on detach.
* Rename timeline metrics -> metrics as it's more generic.
* Don't create a TimelineMetrics instance for VirtualFile
* Move the rest of the metric definitions to metrics.rs too.
* UUID -> ZTenantId
* Use consistent style for dict.
* Use Repository's Drop trait for dropping STORAGE_TIME metrics.
* No need for Arc, TimelineMetrics is used in just one place. Due to that,
we can fall back using ZTenantId and ZTimelineId too to avoid additional
string allocation.
Previously DatadirTimeline was a separate struct, and there was a 1:1
relationship between each DatadirTimeline and LayeredTimeline. That was
a bit awkward; whenever you created a timeline, you also needed to create
the DatadirTimeline wrapper around it, and if you only had a reference
to the LayeredTimeline, you would need to look up the corresponding
DatadirTimeline struct through tenant_mgr::get_local_timeline_with_load().
There were a couple of calls like that from LayeredTimeline itself.
Refactor DatadirTimeline, so that it's a trait, and mark LayeredTimeline
as implementing that trait. That way, there's only one object,
LayeredTimeline, and you can call both Timeline and DatadirTimeline
functions on that. You can now also call DatadirTimeline functions from
LayeredTimeline itself.
I considered just moving all the functions from DatadirTimeline directly
to Timeline/LayeredTimeline, but I still like to have some separation.
Timeline provides a simple key-value API, and handles durably storing
key/value pairs, and branching. Whereas DatadirTimeline is stateless, and
provides an abstraction over the key-value store, to present an interface
with relations, databases, etc. Postgres concepts.
This simplified the logical size calculation fast-path for branch
creation, introduced in commit 28243d68e6. LayerTimeline can now
access the ancestor's logical size directly, so it doesn't need the
caller to pass it to it. I moved the fast-path to init_logical_size()
function itself. It now checks if the ancestor's last LSN is the same
as the branch point, i.e. if there haven't been any changes on the
ancestor after the branch, and copies the size from there. An
additional bonus is that the optimization will now work any time you
have a branch of another branch, with no changes from the ancestor,
not only at a create-branch command.
Try to follow Prometheus style-guide https://prometheus.io/docs/practices/naming/ for metrics names. More specifically:
- Use `pageserver_` prefix for all pagserver metrics
- Specify `_seconds` unit in time metrics
- Use unit as a suffix in other cases, such as `_hits`, `_bytes`, `_records`
- Use `_total` suffix for accumulating counters (note that Histograms append that suffix internally)
Add tenant config API and 'zenith tenant config' CLI command.
Add 'show' query to pageserver protocol for tenantspecific config parameters
Refactoring: move tenant_config code to a separate module.
Save tenant conf file to tenant's directory, when tenant is created to recover it on pageserver restart.
Ignore error during tenant config loading, while it is not supported by console
Define PiTR interval for GC.
refer #1320
This depends on a hacked version of the 'pprof-rs' crate. Because of
that, it's under an optional 'profiling' feature. It is disabled by
default, but enabled for release builds in CircleCI config. It doesn't
currently work on macOS.
The flamegraph is written to 'flamegraph.svg' in the pageserver
workdir when the 'pageserver' process exits.
Add a performance test that runs the perf_pgbench test, with profiling
enabled.
We now use a page cache for those, instead of slurping the whole index into
memory.
Fixes https://github.com/zenithdb/zenith/issues/1356
This is a backwards-incompatible change to the storage format, so
bump STORAGE_FORMAT_VERSION.
This introduces two new abstraction layers for I/O:
- Block I/O, and
- Blob I/O.
The BlockReader trait abstracts a file or something else that can be read
in 8kB pages. It is implemented by EphemeralFiles, and by a new
FileBlockReader struct that allows reading arbitrary VirtualFiles in that
manner, utilizing the page cache.
There is also a new BlockCursor struct that works as a cursor over a
BlockReader. When you create a BlockCursor and read the first page using
it, it keeps the reference to the page. If you access the same page again,
it avoids going to page cache and quickly returns the same page again.
That can save a lot of lookups in the page cache if you perform multiple
reads.
The Blob-oriented API allows reading and writing "blobs" of arbitrary
length. It is a layer on top of the block-oriented API. When you write
a blob with the write_blob() function, it writes a length field
followed by the actual data to the underlying block storage, and
returns the offset where the blob was stored. The blob can be
retrieved later using the offset.
Finally, this replaces the I/O code in image-, delta-, and in-memory
layers to use the new abstractions. These replace the 'bookfile'
crate.
This is a backwards-incompatible change to the storage format.
