moved sanitizers in its owm workflow
merged all jobs into onme
cleaned up failing job
cleaned up failing job
running just tests
fixing build
reverting changes
fixing linter error and build error
clearning up job
added wal and extension builds
fixing build
fixing build
fixing build
added use sanitizer patch
testing if sanitiser work in main workflow
fixed format issue
fixing format issue
fixing format issue
added flags
disabled flags
enabling flags
enabling flags
added more options to flag
fixing build
fixing build
testing the regression run
added asan and usban flag for regression test
commented unit test and release build
fixing build
fix neon for sanitizers
enabled unit test
updated branch to test the fix
updated branch to test the fix
updated the commit id
fixing build
restoring the submodules to main
updated git modules and revision of commit
updated postgres 16 vendor dir
removed test
## Problem
For PRs with `run-benchmarks` label, we don't upload results to the db,
making it harder to debug such tests. The only way to see some
numbers is by examining GitHub Action output which is really
inconvenient.
This PR adds zenbenchmark metrics to Allure reports.
## Summary of changes
- Create a json file with zenbenchmark results and attach it to allure
report
In
7f828890cf
we changed the logic for persisting control_files. Previously it was
updated if `peer_horizon_lsn` jumped more than one segment, which made
`peer_horizon_lsn` initialized on disk as soon as safekeeper has
received a first `AppendRequest`.
This caused an issue with `truncateLsn`, which now can be zero
sometimes. This PR fixes it, and now `truncateLsn/peer_horizon_lsn` can
never be zero once we know `timeline_start_lsn`.
Closes https://github.com/neondatabase/neon/issues/6248
With testing the new eviction order there is a problem of all of the
(currently rare) disk usage based evictions being rare and unique; this
PR adds a human readable summary of what absolute order would had done
and what the relative order does. Assumption is that these loggings will
make the few evictions runs in staging more useful.
Cc: #5304 for allowing testing in the staging
## Problem
Use [NEON_SMGR] for all log messages produced by neon extension.
## Summary of changes
## Checklist before requesting a review
- [ ] I have performed a self-review of my code.
- [ ] If it is a core feature, I have added thorough tests.
- [ ] Do we need to implement analytics? if so did you add the relevant
metrics to the dashboard?
- [ ] If this PR requires public announcement, mark it with
/release-notes label and add several sentences in this section.
## Checklist before merging
- [ ] Do not forget to reformat commit message to not include the above
checklist
---------
Co-authored-by: Konstantin Knizhnik <knizhnik@neon.tech>
- Start pgbouncer in VM from postgres user, to allow connection to
pgbouncer admin console.
- Remove unused compute_ctl options --pgbouncer-connstr
and --pgbouncer-ini-path.
- Fix and cleanup code of connection to pgbouncer, add retries
because pgbouncer may not be instantly ready when compute_ctl starts.
## Problem
tenant_id/timeline_id is no longer a full identifier for metrics from a
`Tenant` or `Timeline` object.
Closes: https://github.com/neondatabase/neon/issues/5953
## Summary of changes
Include `shard_id` label everywhere we have `tenant_id`/`timeline_id`
label.
I just failed to see this earlier on #6136. layer counts are used as an
abstraction, and each of the two tenants lose proportionally about the
same amount of layers. sadly there is no difference in between
`relative_spare` and `relative_equal` as both of these end up evicting
the exact same amount of layers, but I'll try to add later another test
for those.
Cc: #5304
## Problem
Currently relation hash size is limited by "neon.relsize_hash_size" GUC
with default value 64k.
64k relations is not so small number... but it is enough to create 376
databases to exhaust it.
## Summary of changes
Use LRU replacement algorithm to prevent hash overflow
## Checklist before requesting a review
- [ ] I have performed a self-review of my code.
- [ ] If it is a core feature, I have added thorough tests.
- [ ] Do we need to implement analytics? if so did you add the relevant
metrics to the dashboard?
- [ ] If this PR requires public announcement, mark it with
/release-notes label and add several sentences in this section.
## Checklist before merging
- [ ] Do not forget to reformat commit message to not include the above
checklist
---------
Co-authored-by: Konstantin Knizhnik <knizhnik@neon.tech>
## Problem
To test sharding, we need something to control it. We could write python
code for doing this from the test runner, but this wouldn't be usable
with neon_local run directly, and when we want to write tests with large
number of shards/tenants, Rust is a better fit efficiently handling all
the required state.
This service enables automated tests to easily get a system with
sharding/HA without the test itself having to set this all up by hand:
existing tests can be run against sharded tenants just by setting a
shard count when creating the tenant.
## Summary of changes
Attachment service was previously a map of TenantId->TenantState, where
the principal state stored for each tenant was the generation and the
last attached pageserver. This enabled it to serve the re-attach and
validate requests that the pageserver requires.
In this PR, the scope of the service is extended substantially to do
overall management of tenants in the pageserver, including
tenant/timeline creation, live migration, evacuation of offline
pageservers etc. This is done using synchronous code to make declarative
changes to the tenant's intended state (`TenantState.policy` and
`TenantState.intent`), which are then translated into calls into the
pageserver by the `Reconciler`.
Top level summary of modules within
`control_plane/attachment_service/src`:
- `tenant_state`: structure that represents one tenant shard.
- `service`: implements the main high level such as tenant/timeline
creation, marking a node offline, etc.
- `scheduler`: for operations that need to pick a pageserver for a
tenant, construct a scheduler and call into it.
- `compute_hook`: receive notifications when a tenant shard is attached
somewhere new. Once we have locations for all the shards in a tenant,
emit an update to postgres configuration via the neon_local `LocalEnv`.
- `http`: HTTP stubs. These mostly map to methods on `Service`, but are
separated for readability and so that it'll be easier to adapt if/when
we switch to another RPC layer.
- `node`: structure that describes a pageserver node. The most important
attribute of a node is its availability: marking a node offline causes
tenant shards to reschedule away from it.
This PR is a precursor to implementing the full sharding service for
prod (#6342). What's the difference between this and a production-ready
controller for pageservers?
- JSON file persistence to be replaced with a database
- Limited observability.
- No concurrency limits. Marking a pageserver offline will try and
migrate every tenant to a new pageserver concurrently, even if there are
thousands.
- Very simple scheduler that only knows to pick the pageserver with
fewest tenants, and place secondary locations on a different pageserver
than attached locations: it does not try to place shards for the same
tenant on different pageservers. This matters little in tests, because
picking the least-used pageserver usually results in round-robin
placement.
- Scheduler state is rebuilt exhaustively for each operation that
requires a scheduler.
- Relies on neon_local mechanisms for updating postgres: in production
this would be something that flows through the real control plane.
---------
Co-authored-by: Arpad Müller <arpad-m@users.noreply.github.com>