If the primary is started at an LSN within the first of a 16 MB WAL
segment, the "long XLOG page header" at the beginning of the segment was
not initialized correctly. That has gone unnnoticed, because under
normal circumstances, nothing looks at the page header. The WAL that is
streamed to the safekeepers starts at the new record's LSN, not at the
beginning of the page, so that bogus page header didn't propagate
elsewhere, and a primary server doesn't normally read the WAL its
written. Which is good because the contents of the page would be bogus
anyway, as it wouldn't contain any of the records before the LSN where
the new record is written.
Except that in the following cases a primary does read its own WAL:
1. When there are two-phase transactions in prepared state at
checkpoint. The checkpointer reads the two-phase state from the
XLOG_XACT_PREPARE record, and writes it to a file in pg_twophase/.
2. Logical decoding reads the WAL starting from the replication slot's
restart LSN.
This PR fixes the problem with two-phase transactions. For that, it's
sufficient to initialize the page header correctly. The checkpointer
only needs to read XLOG_XACT_PREPARE records that were generated after
the server startup, so it's still OK that older WAL is missing / bogus.
I have not investigated if we have a problem with logical decoding,
however. Let's deal with that separately.
Special thanks to @Lzjing-1997, who independently found the same bug
and opened a PR to fix it, although I did not use that PR.
Part of #7497, closes https://github.com/neondatabase/neon/issues/8890.
## Problem
Since leases are in-memory objects, we need to take special care of them
after pageserver restarts and while doing a live migration. The approach
we took for pageserver restart is to wait for at least lease duration
before doing first GC. We want to do the same for live migration. Since
we do not do any GC when a tenant is in `AttachedStale` or
`AttachedMulti` mode, only the transition from `AttachedMulti` to
`AttachedSingle` requires this treatment.
## Summary of changes
- Added `lsn_lease_deadline` field in `GcBlock::reasons`: the tenant is
temporarily blocked from GC until we reach the deadline. This
information does not persist to S3.
- In `GCBlock::start`, skip the GC iteration if we are blocked by the
lsn lease deadline.
- In `TenantManager::upsert_location`, set the lsn_lease_deadline to
`Instant::now() + lsn_lease_length` so the granted leases have a chance
to be renewed before we run GC for the first time after transitioned
from AttachedMulti to AttachedSingle.
Signed-off-by: Yuchen Liang <yuchen@neon.tech>
Co-authored-by: Joonas Koivunen <joonas@neon.tech>
misc changes split out from #8855
- **allow cloning the request context in a read-only fashion for
background tasks**
- **propagate endpoint and request context through the jwk cache**
- **only allow password based auth for md5 during testing**
- **remove auth info from conn info**
There's currently no way to just start/stop broker from `neon_local`.
This PR
* adds a sub-command
* uses that sub-command from the test suite instead of the pre-existing
Python `subprocess` based approach.
Found this useful during investigation
https://github.com/neondatabase/cloud/issues/16886.
We added another migration in 5876c441ab,
but didn't bump this value. This had no effect, but best to fix it
anyway.
Signed-off-by: Tristan Partin <tristan@neon.tech>
## Problem
It turns out that we can't rely on external orchestration to promptly
route trafic to the new leader. This is downtime inducing.
Forwarding provides a safe way out.
## Safety
We forward when:
1. Request is not one of ["/control/v1/step_down", "/status", "/ready",
"/metrics"]
2. Current instance is in [`LeadershipStatus::SteppedDown`] state
3. There is a leader in the database to forward to
4. Leader from step (3) is not the current instance
If a storcon instance is persisted in the database, then we know that it
is the current leader.
There's one exception: time between handling step-down request and the
new leader updating the
database.
Let's treat the happy case first. The stepped down node does not produce
any side effects,
since all request handling happens on the leader.
As for the edge case, we are guaranteed to always have a maximum of two
running instances.
Hence, if we are in the edge case scenario the leader persisted in the
database is the
stepped down instance that received the request. Condition (4) above
covers this scenario.
## Summary of changes
* Conversion utilities for reqwest <-> hyper. I'm not happy with these,
but I don't see a better way. Open to suggestions.
* Add request forwarding logic
* Update each request handler. Again, not happy with this. If anyone
knows a nice to wrap the handlers, lmk. Me and Joonas tried :/
* Update each handler to maybe forward
* Tweak tests to showcase new behaviour
pg_distrib_dir doesn't include the Postgres version and only depends
on env variables which cannot change during a test run, so it can be
marked as session-scoped. Similarly, the platform cannot change during
a test run.
There was another copy of it in utils.py. The only difference is that
the version in utils.py tolerates files that are concurrently
removed. That seems fine for the few callers in neon_fixtures.py too.
This should generally be faster when running tests, especially those
that run with higher scales.
Ignoring test_lfc_resize since it seems like we are hitting a query
timeout for some reason that I have yet to investigate. A little bit of
improvemnt is better than none.
Signed-off-by: Tristan Partin <tristan@neon.tech>
This adds preliminary PG17 support to Neon, based on RC1 / 2024-09-04
07b828e9d4
NOTICE: The data produced by the included version of the PostgreSQL fork
may not be compatible with the future full release of PostgreSQL 17 due to
expected or unexpected future changes in magic numbers and internals.
DO NOT EXPECT DATA IN V17-TENANTS TO BE COMPATIBLE WITH THE 17.0
RELEASE!
Co-authored-by: Anastasia Lubennikova <anastasia@neon.tech>
Co-authored-by: Alexander Bayandin <alexander@neon.tech>
Co-authored-by: Konstantin Knizhnik <knizhnik@neon.tech>
Co-authored-by: Heikki Linnakangas <heikki@neon.tech>
Makes it consistent with the "timeline create" and "timeline import"
commands, which allowed you to pass the timeline id as argument. This
also makes it unnecessary to parse the timeline ID from the output in
the python function that calls it.
The tenant ID was not actually generated here but in NeonEnvBuilder.
And the "neon_local init" command hasn't been able to generate the
initial tenant since 8712e1899e anyway.
I wish it worked, but it's been broken for a long time, so let's admit
defeat and remove it.
The idea of sharing the same pageserver and safekeeper environment
between tests is still sound, and it could save a lot of time in our
CI. We should perhaps put some time into doing that, but we're better
off starting from scratch than trying to make TEST_SHARED_FIXTURES
work in its current form.
Currently using gc blocking and unblocking with storage controller
managed pageservers is painful. Implement the API on storage controller.
Fixes: #8893
For control-plane managed tenants, we have the page in the admin console
that lists all tenants on a specific pageserver. But for
storage-controller managed ones, we don't have that functionality for
now.
## Summary of changes
Adds an API that lists all shards on a given node (intention + observed)
---------
Signed-off-by: Alex Chi Z <chi@neon.tech>
When walproposer observes now higher term it restarts instead of
crashing whole compute with PANIC; this avoids compute crash after
term_bump call. After successfull election we're still checking
last_log_term of the highest given vote to ensure basebackup is good,
and PANIC otherwise.
It will be used for migration per
035-safekeeper-dynamic-membership-change.md
and
https://github.com/neondatabase/docs/pull/21
ref https://github.com/neondatabase/neon/issues/8700
Check that truncation point is not from the future by comparing it with
write_record_lsn, not write_lsn, and explain that xlog switch changes
their normal order.
ref https://github.com/neondatabase/neon/issues/8911
## Problem
We want to do AZ aware scheduling, but don't have enough metadata.
## Summary of changes
Introduce a `preferred_az_id` concept for each managed tenant shard.
In a future PR, the scheduler will use this as a soft preference.
The idea is to try and keep the shard attachments within the same AZ.
Under the assumption that the compute was placed in the correct AZ,
this reduces the chances of cross AZ trafic from between compute and PS.
In terms of code changes we:
1. Add a new nullable `preferred_az_id` column to the `tenant_shards`
table. Also include an in-memory counterpart.
2. Populate the preferred az on tenant creation and shard splits.
3. Add an endpoint which allows to bulk-set preferred AZs.
(3) gives us the migration path. I'll write a script which queries the
cplane db in the region and sets the preferred az of all shards with an
active compute to the AZ of said compute. For shards without an active compute,
I'll use the AZ of the currently attached pageserver
since this is what cplane uses now to schedule computes.
## Problem
https://github.com/neondatabase/neon/pull/8852 introduced a new nullable
column for the `nodes` table: `availability_zone_id`
## Summary of changes
* Make neon local and the test suite always provide an az id
* Make the az id field in the ps registration request mandatory
* Migrate the column to non-nullable and adjust in memory state
accordingly
* Remove the code that was used to populate the az id for pre-existing
nodes
Sometimes, the benchmarks fail to start up pageserver in 10s without any
obvious reason. Benchmarks run sequentially on otherwise idle runners.
Try running `sync(2)` after each bench to force a cleaner slate.
Implement this via:
- SYNC_AFTER_EACH_TEST environment variable enabled autouse fixture
- autouse fixture seems to be outermost fixture, so it works as expected
- set SYNC_AFTER_EACH_TEST=true for benchmarks in build_and_test
workflow
Evidence:
https://neon-github-public-dev.s3.amazonaws.com/reports/main/10678984691/index.html#suites/5008d72a1ba3c0d618a030a938fc035c/1210266507534c0f/
---------
Co-authored-by: Alexander Bayandin <alexander@neon.tech>
This PR simplifies the pageserver configuration parsing as follows:
* introduce the `pageserver_api::config::ConfigToml` type
* implement `Default` for `ConfigToml`
* use serde derive to do the brain-dead leg-work of processing the toml
document
* use `serde(default)` to fill in default values
* in `pageserver` crate:
* use `toml_edit` to deserialize the pageserver.toml string into a
`ConfigToml`
* `PageServerConfig::parse_and_validate` then
* consumes the `ConfigToml`
* destructures it exhaustively into its constituent fields
* constructs the `PageServerConfig`
The rules are:
* in `ConfigToml`, use `deny_unknown_fields` everywhere
* static default values go in `pageserver_api`
* if there cannot be a static default value (e.g. which default IO
engine to use, because it depends on the runtime), make the field in
`ConfigToml` an `Option`
* if runtime-augmentation of a value is needed, do that in
`parse_and_validate`
* a good example is `virtual_file_io_engine` or `l0_flush`, both of
which need to execute code to determine the effective value in
`PageServerConf`
The benefits:
* massive amount of brain-dead repetitive code can be deleted
* "unused variable" compile-time errors when removing a config value,
due to the exhaustive destructuring in `parse_and_validate`
* compile-time errors guide you when adding a new config field
Drawbacks:
* serde derive is sometimes a bit too magical
* `deny_unknown_fields` is easy to miss
Future Work / Benefits:
* make `neon_local` use `pageserver_api` to construct `ConfigToml` and
write it to `pageserver.toml`
* This provides more type safety / coompile-time errors than the current
approach.
### Refs
Fixes#3682
### Future Work
* `remote_storage` deser doesn't reject unknown fields
https://github.com/neondatabase/neon/issues/8915
* clean up `libs/pageserver_api/src/config.rs` further
* break up into multiple files, at least for tenant config
* move `models` as appropriate / refine distinction between config and
API models / be explicit about when it's the same
* use `pub(crate)` visibility on `mod defaults` to detect stale values
## Problem
The initial implementation of the validate API treats the in-memory
generations as authoritative.
- This is true when only one storage controller is running, but if a
rogue controller was running that hadn't been shut down properly, and
some pageserver requests were routed to that bad controller, it could
incorrectly return valid=true for stale generations.
- The generation in the main in-memory map gets out of date while a live
migration is in flight, and if the origin location for the migration
tries to do some deletions even though it is in AttachedStale (for
example because it had already started compaction), these might be
wrongly validated + executed.
## Summary of changes
- Continue to do the in-memory check: if this returns valid=false it is
sufficient to reject requests.
- When valid=true, do an additional read from the database to confirm
the generation is fresh.
- Revise behavior for validation on missing shards: this used to always
return valid=true as a convenience for deletions and shard splits, so
that pageservers weren't prevented from completing any enqueued
deletions for these shards after they're gone. However, this becomes
unsafe when we consider split brain scenarios. We could reinstate this
in future if we wanted to store some tombstones for deleted shards.
- Update test_scrubber_physical_gc to cope with the behavioral change:
they must now explicitly flush the deletion queue before splits, to
avoid tripping up on deletions that are enqueued at the time of the
split (these tests assert "scrubber deletes nothing", which check fails
if the split leaves behind some remote objects that are legitimately
GC'able)
- Add `test_storage_controller_validate_during_migration`, which uses
failpoints to create a situation where incorrect generation validation
during a live migration could result in a corruption
The rate of validate calls for tenants is pretty low: it happens as a
consequence deletions from GC and compaction, which are both
concurrency-limited on the pageserver side.
We currently do not record safekeepers in the storage controller
database. We want to migrate timelines across safekeepers eventually, so
start recording the safekeepers on deploy.
Cc: #8698
## Problem
Each test might wait for up to 5s in order to HB the pageserver.
## Summary of changes
Make the heartbeat interval configurable and use a really tight one for
neon local => startup quicker
Endpoint implementation sends msg to manager requesting to do the
reset. Manager stops current partial backup upload task if it exists and
performs the reset.
Also slightly tweak eviction condition: all full segments before
flush_lsn must be uploaded (and committed) and there must be only one
segment left on disk (partial). This allows to evict timelines which
started not on the first segment and didn't fill the whole
segment (previous condition wasn't good because last_removed_segno was
0).
ref https://github.com/neondatabase/neon/issues/8759
## Problem
Neon local set-up does not inject an az id in `metadata.json`. See real
change in https://github.com/neondatabase/neon/pull/8852.
## Summary of changes
We piggyback on the existing `availability_zone` pageserver
configuration in order to avoid making neon local even more complex.
Implement the timeline specific `archival_config` endpoint also in the
storage controller.
It's mostly a copy-paste of the detach handler: the task is the same: do
the same operation on all shards.
Part of #8088.
The test is very rudimentary, it only checks that before and after
tenant deletion, we can run `scan_metadata` for the safekeeper node
kind. Also, we don't actually expect any uploaded data, for that we
don't have enough WAL (needs to create at least one S3-uploaded file,
the scrubber doesn't recognize partial files yet).
The `scan_metadata` scrubber subcommand is extended to support either
specifying a database connection string, which was previously the only
way, and required a database to be present, or specifying the timeline
information manually via json. This is ideal for testing scenarios
because in those, the number of timelines is usually limited,
but it is involved to spin up a database just to write the timeline
information.
If a timeline unarchival request comes in, give an error if the parent
timeline is archived. This prevents us from the situation of having an
archived timeline with children that are not archived.
Follow up of #8824
Part of #8088
---------
Co-authored-by: Joonas Koivunen <joonas@neon.tech>
In proxy I switched to a leaky-bucket impl using the GCRA algorithm. I
figured I could share the code with pageserver and remove the
leaky_bucket crate dependency with some very basic tokio timers and
queues for fairness.
The underlying algorithm should be fairly clear how it works from the
comments I have left in the code.
---
In benchmarking pageserver, @problame found that the new implementation
fixes a getpage throughput discontinuity in pageserver under the
`pagebench get-page-latest-lsn` benchmark with the clickbench dataset
(`test_perf_olap.py`).
The discontinuity is that for any of `--num-clients={2,3,4}`, getpage
throughput remains 10k.
With `--num-clients=5` and greater, getpage throughput then jumps to the
configured 20k rate limit.
With the changes in this PR, the discontinuity is gone, and we scale
throughput linearly to `--num-clients` until the configured rate limit.
More context in
https://github.com/neondatabase/cloud/issues/16886#issuecomment-2315257641.
closes https://github.com/neondatabase/cloud/issues/16886
---------
Co-authored-by: Joonas Koivunen <joonas@neon.tech>
Co-authored-by: Christian Schwarz <christian@neon.tech>
refs https://github.com/neondatabase/cloud/issues/13750
The logging in this commit will make it easier to detect lagging ingest.
We're trusting compute timestamps --- ideally we'd use SK timestmaps
instead.
But trusting the compute timestamp is ok for now.
Part of #7497
## Problem
Static computes pinned at some fix LSN could be created initially within
PITR interval but eventually go out it. To make sure that Static
computes are not affected by GC, we need to start using the LSN lease
API (introduced in #8084) in compute_ctl.
## Summary of changes
**compute_ctl**
- Spawn a thread for when a static compute starts to periodically ping
pageserver(s) to make LSN lease requests.
- Add `test_readonly_node_gc` to test if static compute can read all
pages without error.
- (test will fail on main without the code change here)
**page_service**
- `wait_or_get_last_lsn` will now allow `request_lsn` less than
`latest_gc_cutoff_lsn` to proceed if there is a lease on `request_lsn`.
Signed-off-by: Yuchen Liang <yuchen@neon.tech>
Co-authored-by: Alexey Kondratov <kondratov.aleksey@gmail.com>
Part of [Epic: Bypass PageCache for user data
blocks](https://github.com/neondatabase/neon/issues/7386).
# Problem
`InMemoryLayer` still uses the `PageCache` for all data stored in the
`VirtualFile` that underlies the `EphemeralFile`.
# Background
Before this PR, `EphemeralFile` is a fancy and (code-bloated) buffered
writer around a `VirtualFile` that supports `blob_io`.
The `InMemoryLayerInner::index` stores offsets into the `EphemeralFile`.
At those offset, we find a varint length followed by the serialized
`Value`.
Vectored reads (`get_values_reconstruct_data`) are not in fact vectored
- each `Value` that needs to be read is read sequentially.
The `will_init` bit of information which we use to early-exit the
`get_values_reconstruct_data` for a given key is stored in the
serialized `Value`, meaning we have to read & deserialize the `Value`
from the `EphemeralFile`.
The L0 flushing **also** needs to re-determine the `will_init` bit of
information, by deserializing each value during L0 flush.
# Changes
1. Store the value length and `will_init` information in the
`InMemoryLayer::index`. The `EphemeralFile` thus only needs to store the
values.
2. For `get_values_reconstruct_data`:
- Use the in-memory `index` figures out which values need to be read.
Having the `will_init` stored in the index enables us to do that.
- View the EphemeralFile as a byte array of "DIO chunks", each 512 bytes
in size (adjustable constant). A "DIO chunk" is the minimal unit that we
can read under direct IO.
- Figure out which chunks need to be read to retrieve the serialized
bytes for thes values we need to read.
- Coalesce chunk reads such that each DIO chunk is only read once to
serve all value reads that need data from that chunk.
- Merge adjacent chunk reads into larger
`EphemeralFile::read_exact_at_eof_ok` of up to 128k (adjustable
constant).
3. The new `EphemeralFile::read_exact_at_eof_ok` fills the IO buffer
from the underlying VirtualFile and/or its in-memory buffer.
4. The L0 flush code is changed to use the `index` directly, `blob_io`
5. We can remove the `ephemeral_file::page_caching` construct now.
The `get_values_reconstruct_data` changes seem like a bit overkill but
they are necessary so we issue the equivalent amount of read system
calls compared to before this PR where it was highly likely that even if
the first PageCache access was a miss, remaining reads within the same
`get_values_reconstruct_data` call from the same `EphemeralFile` page
were a hit.
The "DIO chunk" stuff is truly unnecessary for page cache bypass, but,
since we're working on [direct
IO](https://github.com/neondatabase/neon/issues/8130) and
https://github.com/neondatabase/neon/issues/8719 specifically, we need
to do _something_ like this anyways in the near future.
# Alternative Design
The original plan was to use the `vectored_blob_io` code it relies on
the invariant of Delta&Image layers that `index order == values order`.
Further, `vectored_blob_io` code's strategy for merging IOs is limited
to adjacent reads. However, with direct IO, there is another level of
merging that should be done, specifically, if multiple reads map to the
same "DIO chunk" (=alignment-requirement-sized and -aligned region of
the file), then it's "free" to read the chunk into an IO buffer and
serve the two reads from that buffer.
=> https://github.com/neondatabase/neon/issues/8719
# Testing / Performance
Correctness of the IO merging code is ensured by unit tests.
Additionally, minimal tests are added for the `EphemeralFile`
implementation and the bit-packed `InMemoryLayerIndexValue`.
Performance testing results are presented below.
All pref testing done on my M2 MacBook Pro, running a Linux VM.
It's a release build without `--features testing`.
We see definitive improvement in ingest performance microbenchmark and
an ad-hoc microbenchmark for getpage against InMemoryLayer.
```
baseline: commit 7c74112b2a origin/main
HEAD: ef1c55c52e
```
<details>
```
cargo bench --bench bench_ingest -- 'ingest 128MB/100b seq, no delta'
baseline
ingest-small-values/ingest 128MB/100b seq, no delta
time: [483.50 ms 498.73 ms 522.53 ms]
thrpt: [244.96 MiB/s 256.65 MiB/s 264.73 MiB/s]
HEAD
ingest-small-values/ingest 128MB/100b seq, no delta
time: [479.22 ms 482.92 ms 487.35 ms]
thrpt: [262.64 MiB/s 265.06 MiB/s 267.10 MiB/s]
```
</details>
We don't have a micro-benchmark for InMemoryLayer and it's quite
cumbersome to add one. So, I did manual testing in `neon_local`.
<details>
```
./target/release/neon_local stop
rm -rf .neon
./target/release/neon_local init
./target/release/neon_local start
./target/release/neon_local tenant create --set-default
./target/release/neon_local endpoint create foo
./target/release/neon_local endpoint start foo
psql 'postgresql://cloud_admin@127.0.0.1:55432/postgres'
psql (13.16 (Debian 13.16-0+deb11u1), server 15.7)
CREATE TABLE wal_test (
id SERIAL PRIMARY KEY,
data TEXT
);
DO $$
DECLARE
i INTEGER := 1;
BEGIN
WHILE i <= 500000 LOOP
INSERT INTO wal_test (data) VALUES ('data');
i := i + 1;
END LOOP;
END $$;
-- => result is one L0 from initdb and one 137M-sized ephemeral-2
DO $$
DECLARE
i INTEGER := 1;
random_id INTEGER;
random_record wal_test%ROWTYPE;
start_time TIMESTAMP := clock_timestamp();
selects_completed INTEGER := 0;
min_id INTEGER := 1; -- Minimum ID value
max_id INTEGER := 100000; -- Maximum ID value, based on your insert range
iters INTEGER := 100000000; -- Number of iterations to run
BEGIN
WHILE i <= iters LOOP
-- Generate a random ID within the known range
random_id := min_id + floor(random() * (max_id - min_id + 1))::int;
-- Select the row with the generated random ID
SELECT * INTO random_record
FROM wal_test
WHERE id = random_id;
-- Increment the select counter
selects_completed := selects_completed + 1;
-- Check if a second has passed
IF EXTRACT(EPOCH FROM clock_timestamp() - start_time) >= 1 THEN
-- Print the number of selects completed in the last second
RAISE NOTICE 'Selects completed in last second: %', selects_completed;
-- Reset counters for the next second
selects_completed := 0;
start_time := clock_timestamp();
END IF;
-- Increment the loop counter
i := i + 1;
END LOOP;
END $$;
./target/release/neon_local stop
baseline: commit 7c74112b2a origin/main
NOTICE: Selects completed in last second: 1864
NOTICE: Selects completed in last second: 1850
NOTICE: Selects completed in last second: 1851
NOTICE: Selects completed in last second: 1918
NOTICE: Selects completed in last second: 1911
NOTICE: Selects completed in last second: 1879
NOTICE: Selects completed in last second: 1858
NOTICE: Selects completed in last second: 1827
NOTICE: Selects completed in last second: 1933
ours
NOTICE: Selects completed in last second: 1915
NOTICE: Selects completed in last second: 1928
NOTICE: Selects completed in last second: 1913
NOTICE: Selects completed in last second: 1932
NOTICE: Selects completed in last second: 1846
NOTICE: Selects completed in last second: 1955
NOTICE: Selects completed in last second: 1991
NOTICE: Selects completed in last second: 1973
```
NB: the ephemeral file sizes differ by ca 1MiB, ours being 1MiB smaller.
</details>
# Rollout
This PR changes the code in-place and is not gated by a feature flag.
## Problem
In order to build AZ aware scheduling, the storage controller needs to
know what AZ pageservers are in.
Related https://github.com/neondatabase/neon/issues/8848
## Summary of changes
This patch set adds a new nullable column to the `nodes` table:
`availability_zone_id`. The node registration
request is extended to include the AZ id (pageservers already have this
in their `metadata.json` file).
If the node is already registered, then we update the persistent and
in-memory state with the provided AZ.
Otherwise, we add the node with the AZ to begin with.
A couple assumptions are made here:
1. Pageserver AZ ids are stable
2. AZ ids do not change over time
Once all pageservers have a configured AZ, we can remove the optionals
in the code and make the database column not nullable.
Part of #8130, closes#8719.
## Problem
Currently, vectored blob io only coalesce blocks if they are immediately
adjacent to each other. When we switch to Direct IO, we need a way to
coalesce blobs that are within the dio-aligned boundary but has gap
between them.
## Summary of changes
- Introduces a `VectoredReadCoalesceMode` for `VectoredReadPlanner` and
`StreamingVectoredReadPlanner` which has two modes:
- `AdjacentOnly` (current implementation)
- `Chunked(<alignment requirement>)`
- New `ChunkedVectorBuilder` that considers batching `dio-align`-sized
read, the start and end of the vectored read will respect
`stx_dio_offset_align` / `stx_dio_mem_align` (`vectored_read.start` and
`vectored_read.blobs_at.first().start_offset` will be two different
value).
- Since we break the assumption that blobs within single `VectoredRead`
are next to each other (implicit end offset), we start to store blob end
offsets in the `VectoredRead`.
- Adapted existing tests to run in both `VectoredReadCoalesceMode`.
- The io alignment can also be live configured at runtime.
Signed-off-by: Yuchen Liang <yuchen@neon.tech>
