Change add_tablet_info() to accept locator::tablet_routing_info instead
of destructured (tablet_replica_set, token_range) pair. This simplifies
all three call sites.
Remove the empty-replicas guard inside add_tablet_info(): the only
producer of tablet_routing_info is tablet ERM's check_locality(), which
returns either nullopt (correctly routed) or info with replicas copied
from tablet_info — a tablet always has replicas. All callers already
check for nullopt before calling add_tablet_info(), so by the time we
enter the function replicas are guaranteed non-empty.
After an internal CAS shard bounce, check_locality() was evaluating
against this_shard_id() of the post-bounce shard — which is the correct
tablet shard — so it returned nullopt, and LWT/SERIAL responses omitted
the tablets-routing-v1 custom payload. The client never learned the
correct tablet map.
Fix by recording the original entry shard in client_state (initialized
to this_shard_id() at construction, preserved across shard bounces via
client_state_for_another_shard) and passing it to check_locality() so
it compares against the client's actual routing decision.
No host_id tracking or forwarded_client_state IDL changes are needed
because CAS shard bounces are always intra-node.
Fixes SCYLLADB-2041
value_for() is a general function that solves for values that
satisfy an expression set to TRUE. This goes against our goal to
prepare solvers for all the expressions we use. Fortunately, it's only
called with one expression, which comes from statement_restrictions, so
we can add an accessor that provides the expression from our own state.
Later, we'll be able to do prepare-time work on it.
For indexed queries, statement_restrictions calculates _view_schema,
which is passed via get_view_schema() to indexed_select_statement(),
which passes it right back to statement_restrictions via one of three
functions to calculate clustering ranges.
Avoid the back-and-forth and use the stored value. Using a different
value would be broken.
This change allows unifying the signatures of the four functions that
get clustering ranges.
Prevent copying/moving, that can change the address, and instead enforce
using shared_ptr. Most of the code is already using shared_ptr, so the
changes aren't very large.
To forbid non-shared_ptr construction, the constructors are annotated
with a private_tag tag class.
The enable_parallelized_aggregation option controls whether aggregation
queries are fanned out across shards for parallel execution. It belongs
in cql_config rather than db::config as it directly governs CQL query
behavior at prepare time.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
The strict_allow_filtering option controls whether queries that require
ALLOW FILTERING are silently accepted, warned about, or rejected. It
belongs in cql_config rather than db::config as it directly governs CQL
query behavior at prepare time.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
The select_internal_page_size option controls CQL query execution
behavior (internal paging for aggregate/filtered SELECTs) and belongs
in cql_config rather than being read directly from db::config at
execution time.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Pass cql_config to prepare() so that statement preparation can use
CQL-specific configuration rather than reaching into db::config
directly.
Callers that use default_cql_config:
- db/view/view.cc: builds a SELECT statement internally to compute view
restrictions, not in response to a user query
- cql3/statements/create_view_statement.cc: same -- parses the view's
WHERE clause as a synthetic SELECT to extract restrictions
- tools/schema_loader.cc: offline schema loading tool, no runtime
config available
- tools/scylla-sstable.cc: offline sstable inspection tool, no runtime
config available
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This metric is used to catch execution of scans which go via row
cache, which can have bad effect on performance.
Since f344bd0aaa, aggregate queries go
via new statement class: parallelized_select_statement. This class
inherits from select_statement directly rather than from
primary_key_select_statement. The range scan detection logic
(_range_scan, _range_scan_no_bypass_cache) was only in
primary_key_select_statement's constructor, so parallelized queries
were not counted in select_partition_range_scan and
select_partition_range_scan_no_bypass_cache metrics.
Fix by moving the range scan detection into select_statement's
constructor, so that all subclasses get it.
No backport: enhancement
Closesscylladb/scylladb#29422
* github.com:scylladb/scylladb:
cql: Include parallelized queries in the scylla_cql_select_partition_range_scan_no_bypass_cache metric
test: cluster: dtest: Fix double-counting of metrics
This metric is used to catch execution of scans which go via row
cache, which can have bad effect on performance.
Since f344bd0aaa, aggreagte queries go
via new statement class: parallelized_select_statement. This class
inherits from select_statement directly rather than from
primary_key_select_statement. The range scan detection logic
(_range_scan, _range_scan_no_bypass_cache) was only in
primary_key_select_statement's constructor, so parallelized queries
were not counted in select_partition_range_scan and
select_partition_range_scan_no_bypass_cache metrics.
Fix by moving the range scan detection into select_statement's
constructor, so that all subclasses get it.
In this patch we replace every single use of SCYLLA_ASSERT() in the cql3/
directory by throwing_assert().
The problem with SCYLLA_ASSERT() is that when it fails, it crashes Scylla.
This is almost always a bad idea (see #7871 discussing why), but it's even
riskier in front-end code like cql3/: In front-end code, there is a risk
that due to a bug in our code, a specific user request can cause Scylla
to crash. A malicious user can send this query to all nodes and crash
the entire cluster. When the user is not malicious, it causes a small
problem (a failing request) to become a much worse crash - and worse,
the user has no idea which request is causing this crash and the crash
will repeat if the same request is tried again.
All of this is solved by using the new throwing_assert(), which is the
same as SCYLLA_ASSERT() but throws an exception (using on_internal_error())
instead of crashing. The exception will prevent the code path with the
invalid assumption from continuing, but will result in only the current
user request being aborted, with a clear error message reporting the
internal server error due to an assertion failure.
I reviewed all the changes that I did in this patch to check that (to the
best of my understanding) none of the assertions in cql3/ involve the
sort of serious corruption that might require crashing the Scylla node
entirely.
throwing_assert() also improves logging of assertion failures compared
to the original SCYLLA_ASSERT() - SCYLLA_ASSERT() printed a message to
stderr which in many installations is lost, whereas throwing_assert()
uses Scylla's standard logger, and also includes a backtrace in the
log message.
Fixes#13970 (Exorcise assertions from CQL code paths)
Refs #7871 (Exorcise assertions from Scylla)
Signed-off-by: Nadav Har'El <nyh@scylladb.com>
The purpose of `add_column_for_post_processing` is to add columns that are required for processing of a query,
but are not part of SELECT clause and shouldn't be returned. They are added to the final result set, but later are not serialized.
Mainly it is used for filtering and grouping columns, with a special case of `WHERE primary_key IN ... ORDER BY ...` when the whole result set needs additional final sorting,
and ordering columns must be added as well.
There was a bug that manifested in #9435, #8100 and was actually identified in #22061.
In case of selection with processing (e.g functions involved), result set row is formed in two stages.
Initially it is a list of columns fetched from replicas - on which filtering and grouping is performed.
After that the actual selection is resolved and the final number of columns can change.
Ordering is performed on this final shape, but the ordering column index returned by `add_column_for_post_processing` refereed to initial shape.
If selection refereed to the same column twice (e.g. `v, TTL(v)` as in #9435) final row was longer than initial and ordering refereed to incorrect column.
If a function in selection refereed to multiple columns (e.g. as_json(.., ..) which #8100 effectively uses) the final row was shorter
and ordering tried to use a non-existing column.
This patch fixes the problem by making sure that column index of the final result set is used for ordering.
The previously crashing test `cassandra_tests/validation/entities/json_test.py::testJsonOrdering` doesn't have to be skipped, but now it is failing on issue #28467.
Fixes#9435Fixes#8100Fixes#22061Closesscylladb/scylladb#28472
The secondary index mechanism is currently used to determine the target column.
This mechanism works incorrectly for vector indexes with filtering because
it returns the last specified column as the target (vectors) column.
However, the syntax for a vector index requires the first column to be the target:
```
CREATE CUSTOM INDEX ON t(vectors, users) USING 'vector_index';
```
This discrepancy eventually leads to the following exception when performing an
ANN search on a vector index with filtering columns:
````
ANN ordering by vector requires the column to be indexed using 'vector_index'
````
This commit fixes the issue by introducing dedicated logic for vector indexes
to correctly identify the target(vectors) column.
Fixes: SCYLLADB-635
Closesscylladb/scylladb#28740
Schema is already a member of select statement, avoiding
the call saves around 400 cpu instructions on a select
request hot path.
Closesscylladb/scylladb#28328
This series implements rescoring algorithm.
Index options allowing to enable this functionality were introduced in earlier PR https://github.com/scylladb/scylladb/pull/28165.
When Vector Index has enabled quantization, Vector Store uses reduced vector representation to save memory, but it may degrade correctness of ANN queries. For quantized index we can enable rescoring algorithm, which recalculates similarity score from full vector representation stored in Scylla and reorder returned result set.
It works also with oversampling - we fetch more candidates from Vector Store, rescore them at Scylla and return only requested number of results.
Example:
Creating a Vector Index with Rescoring
```sql
-- Create a table with a vector column
CREATE TABLE ks.products (
id int PRIMARY KEY,
embedding vector<float, 128>
);
-- Create a vector index with rescoring enabled
CREATE INDEX products_embedding_idx ON ks.products (embedding)
USING 'vector_index'
WITH OPTIONS = {
'similarity_function': 'cosine',
'quantization': 'i8',
'oversampling': '2.0',
'rescoring': 'true'
};
```
1. **Quantization** (`i8`) compresses vectors in the index, reducing memory usage but introducing precision loss in distance calculations
2. **Oversampling** (`2.0`) retrieves 2× more candidates than requested from the vector store (e.g., `LIMIT 10` fetches 20 candidates)
3. **Rescoring** (`true`) recalculates similarity scores using full-precision (`f32`) vectors from the base table and re-ranks results
Query example:
```sql
-- Find 10 most similar products
SELECT id, similarity_cosine(embedding, [0.1, 0.2, ...]) AS score
FROM ks.products
ORDER BY embedding ANN OF [0.1, 0.2, ...]
LIMIT 10;
```
With rescoring enabled, the query:
1. Fetches 20 candidates from the quantized index (due to oversampling=2.0)
2. Reads full-precision embeddings from the base table
3. Recalculates similarity scores with full precision
4. Re-ranks and returns the top 10 results
In this implementation we use CQL similarity function implementation to calculate new score values and use them in post query ordering. We add that column manually to selection, but it has to be removed from the final response.
Follow-up https://github.com/scylladb/scylladb/pull/28165
Fixes https://scylladb.atlassian.net/browse/SCYLLADB-83
New feature - doesn't need backport.
Closesscylladb/scylladb#27769
* github.com:scylladb/scylladb:
vector_index: rescoring: Fetch oversampled rows
vector_index: rescoring: Sort by similarity column
select_statement: Modify `needs_post_query_ordering` condition
vector_index: rescoring: Add hidden similarity score column
vector_index: Refactor extracting ANN query information
In this PR we add a basic implementation of the strongly-consistent tables:
* generate raft group id when a strongly-consistent table is created
* persist it into system.tables table
* start raft groups on replicas when a strongly-consistent tablet_map reaches them
* add strongly-consistent version of the storage_proxy, with the `query` and `mutate` methods
* the `mutate` method submits a command to the tablets raft group, the query method reads the data with `raft.read_barrier()`
* strongly-consistent versions of the `select_statement` and `modification_statement` are added
* a basic `test_strong_consistency.py/test_basic_write_read` is added which to check that we can write and read data in a strongly consistent fashion.
Limitations:
* for now the strongly consistent tables can have tablets only on shard zero. This is because we (ab/re) use the existing raft system tables which live only on shard0. In the next PRs we'll create separate tables for the new tablets raft groups.
* No Scylla-side proxying - the test has to figure out who is the leader and submit the command to the right node. This will be fixed separately.
* No tablet balancing -- migration/split/merges require separate complicated code.
The new behavior is hidden behind `STRONGLY_CONSISTENT_TABLES` feature, which is enabled when the `STRONGLY_CONSISTENT_TABLES` experimental feature flag is set.
Requirements, specs and general overview of the feature can be found [here](https://scylladb.atlassian.net/wiki/spaces/RND/pages/91422722/Strong+Consistency). Short term implementation plan is [here](https://docs.google.com/document/d/1afKeeHaCkKxER7IThHkaAQlh2JWpbqhFLIQ3CzmiXhI/edit?tab=t.0#heading=h.thkorgfek290)
One can check the strongly consistent writes and reads locally via cqlsh:
scylla.yaml:
```
experimental_features:
- strongly-consistent-tables
```
cqlsh:
```
CREATE KEYSPACE IF NOT EXISTS my_ks WITH replication = {'class': 'NetworkTopologyStrategy', 'replication_factor': 1} AND tablets = {'initial': 1} AND consistency = 'local';
CREATE TABLE my_ks.test (pk int PRIMARY KEY, c int);
INSERT INTO my_ks.test (pk, c) VALUES (10, 20);
SELECT * FROM my_ks.test WHERE pk = 10;
```
Fixes SCYLLADB-34
Fixes SCYLLADB-32
Fixes SCYLLADB-31
Fixes SCYLLADB-33
Fixes SCYLLADB-56
backport: no need
Closesscylladb/scylladb#27614
* https://github.com/scylladb/scylladb:
test_encryption: capture stderr
test/cluster: add test_strong_consistency.py
raft_group_registry: disable metrics for non-0 groups
strong consistency: implement select_statement::do_execute()
cql: add select_statement.cc
strong consistency: implement coordinator::query()
cql: add modification_statement
cql: add statement_helpers
strong consistency: implement coordinator::mutate()
raft.hh: make server::wait_for_leader() public
strong_consistency: add coordinator
modification_statement: make get_timeout public
strong_consistency: add groups_manager
strong_consistency: add state_machine and raft_command
table: add get_max_timestamp_for_tablet
tablets: generate raft group_id-s for new table
tablet_replication_strategy: add consistency field
tablets: add raft_group_id
modification_statement: remove virtual where it's not needed
modification_statement: inline prepare_statement()
system_keyspace: disable tablet_balancing for strongly_consistent_tables
cql: rename strongly_consistent statements to broadcast statements
So far with oversampling the extended set of keys was returned from VS,
but query to the base table was still limited by the query `limit`.
Now for rescoring we want to fetch rows for all the keys returned from VS.
However later we need to restore the command limit, to trim result_set accordingly.
For non-rescoring scenarios we trim directly keys set returned from VS if it happens to exceed query limit.
With this change rescoring validation tests (except `no_nulls_in_rescored_results`) pass fully.
Fixes https://scylladb.atlassian.net/browse/SCYLLADB-83
This patch implements second part of rescoring - ordering results by similarity column added in earlier patch.
For this purpose in this patch we define `_ordering_comparator`, which enables pre-existing post-query ordering functionality.
However, none additional test passes yet, as they include ovesampling, which will be the subject of following patches.
Our plan for rescoring is to use the existing post-query ordering mechanism to sort (and trim) result_set by similarity column.
For general SELECT case this ordering is permitted only for queries with IN on the partition key and an ORDER BY, which is checked in `needs_post_query_ordering`.
Recently this check was overriden for ANN queries in https://github.com/scylladb/scylladb/pull/28109 to enable IN queries handled by VS without excessive post-processing.
In this patch we revert that change - ANN case will be handled by general check.
However we change the condition - we will enable post processing anytime `_ordering_comparator` is set.
In current implementation `_ordering_comparator` is created only in `select_statement::prepare` with `get_ordering_comparator`,
only for the same conditions as were checked in `needs_post_query_ordering`, so this change should be transparent for general SELECT.
For ANN query it is also not set (yet), so it will not influence ANN filtering, but we confirm that this functionality still works
by adding filtering test: `test/vector_search/filter_test.cc::vector_store_client_test_filtering_ann_cql`.
Rescoring ordering for ANN queries will be enabled when we add `_ordering_comparator` in following patch.
Rescoring consist of recalculating similarity score and reordering results based on it.
In this patch we add calculation of similarity score as a hidden (non-serialized) column and following patch will add reordering.
Normal ordering uses `add_column_for_post_processing`, however this works only for regular columns, not function.
So we create it together with user requested columns (this also forces the use of `selection_with_processing`) and hide the column later.
This also requires special handling for 'SELECT *' case - we need to manually add all columns before adding similarity column.
In case user already asks for similarity score in the SELECT clause, this value will be calculated twice - is should be optimized in future patches.
For the purpose of rescoring we will need information if the query is an ANN query
and the access to index option earlier in the `select_statement::prepare` than it happened before.
This patch refactors extracting this information to new helper structure `ann_ordering_info`
and is consistently using it.
In preparation for upcoming work on strongly consistent queries in
Scylla, this commit renames the existing `strongly_consistent`
statements to `broadcast_statements` to avoid confusion.
The old code paths are kept temporarily, as they may be useful for
reference or for copying parts during the implementation of the new
strongly consistent statements.
Add `prepared_filter` class which handles the preparation, construction
and caching of Vector Search filtering compatible JSON object.
If no bind markers found in SELECT statement, the JSON object will be built
once at prepare time and cached for use during execution calls.
Adjust tests accordingly to use prepared filters.
Follow-up: #28109
Fixes: SCYLLADB-299
Move Vector Search filter functions from `cql3::restrictions` to
`vector_search` namespace as it's a better place according to
it's purpose.
The effective name has now changed from `cql3::restrictions::to_json`
to `vector_search::to_json` which clearly mentions that the JSON
object will be used for Vector Search.
Rename the auxilary functions to use `to_json` suffix instead of
variety of verbs as those functions logic focuses on building JSON
object from different structures. The late naming emphasized too
much distinction between those functions, while they do pretty much
the same thing.
Follow-up: #28109
This patch adds vector index options allowing to enable quantization and oversampling.
Specific quantization value will be used internally by vector store.
In the current implementation, `get_oversampling` allows us to decide how many times more candidates
to retrieve from vector store - final response is still trimmed to the given limit.
It is a first step to allow rescoring - recalculation of similarity metric and re-ranking.
Without rescoring oversampling will be also further optimized to happen internally in vector store.
Fixes https://scylladb.atlassian.net/browse/SCYLLADB-82
Ref https://scylladb.atlassian.net/browse/SCYLLADB-83
Add `filter` option in `ann()` function to write the filter JSON
object as the POST request in ANN vector queries.
Adjust existing `vector_store_client_test` tests accordingly.
To prepare for implementation of filtering we skip validation
of where clauses in vector search queries. All queries that would
be blocked by the lack of ALLOW FILTERING now will pass through.
Fixes: VECTOR-410
Closesscylladb/scylladb#27758
VECTOR_SEARCH_INDEXING permission didn't work on cdc tables as we mistakenly checked for vector indexes on the cdc table insted of the base.
This patch fixes that and adds a test that validates this behavior.
Fixes: VECTOR-476
Closesscylladb/scylladb#28050
We currently allow restrictions on single column primary key,
but we ignore the restriction and return all results.
This can confuse the users. We change it so such a restriction
will throw an error and add a test to validate it.
Fixes: VECTOR-331
Closesscylladb/scylladb#27143
When a CQL vector search request timed out, the underlying ANN query was
not aborted and continued to run. This happened because the abort source
was not being signaled upon request expiration.
This commit ensures the ANN query is aborted when the CQL request times out
preventing unnecessary resource consumption.
Currently we do not support paging for vector search queries.
When we get such a query with paging enabled we ignore the paging
and return the entire result. This behavior can be confusing for users,
as there is no warning about paging not working with vector search.
This patch fixes that by adding a warning to the result of ANN queries
with paging enabled.
Closesscylladb/scylladb#26384
To align with `vector_indexed_table_select_statement`, this commit renames
`indexed_table_select_statement` to `view_indexed_table_select_statement`
to clarify its usage with materialized views.
The execution of SELECT statements with ANN ordering (vector search) was
previously implemented within `indexed_table_select_statement`. This was
not ideal, as vector search logic is independent of secondary index selects.
This resulted in unnecessary complexity because vector search queries don't
use features like aggregates or paging. More importantly,
`indexed_table_select_statement` assumed a non-null `view_schema` pointer,
which doesn't hold for vector indexes (where `view_ptr` is null).
This caused null pointer dereferences during ANN ordered selects, leading
to crashes (VECTOR-179). Other parts of the class still dereference
`view_schema` without null checks.
Moving the vector search select logic out of
`indexed_table_select_statement` simplifies the code and prevents these
null pointer dereferences.
Currently when a null vector is passed to an ANN query we fail with a
quite confusing error ("NoHostAvailable: ('Unable to complete the
operation against any hosts', {<Host: 127.0.0.1:9042 datacenter1>:
<Error from server: code=0000 [Server error] message="to_bytes() called
on raw value that is null">})").
This patch fixes that by throwing an InvalidRequestException with an
appropriate message instead.
We also add a test case that validates this behavior.
Fixes: VECTOR-257
Closesscylladb/scylladb#26510
This patch removes the dependence of vector search module
on the cql3 module by moving the contents of cql3/type_json.hh
to types/json_utils.hh and removing the usage of cql3 primary_key
object in vector_store_client. We also make the needed adjustments
to files that were previously using the afformentioned type_json.hh
file.
This fixes the circular dependency cql3 <-> vector_search.
Closesscylladb/scylladb#26482
This patch implements the changes required by the Vector Store authorization, as described in https://scylladb.atlassian.net/wiki/spaces/RND/pages/107085899/Vector+Store+Authentication+And+Authorization+To+ScyllaDB, that is:
- adding a new permission VECTOR_SEARCH_INDEXING, grantable only on ALL KEYSPACES
- allowing users with that permission to perform SELECT queries, but only on tables with a vector index
- increasing the number of scheduling groups by one to allow users to create a service level for a vector store user
- adjusting the tests and documentation
These changes are needed, as the vector indexes are managed by the external service, Vector Store, which needs to read the tables to create the indexes in its memory. We would like to limit the privileges of that service to a minimum to maintain the principle of least privilege, therefore a new permission, one that allows the SELECTs conditional on the existence of a vector_index on the table.
Fixes: VECTOR-201
Backport reasoning:
Backport to 2025.4 required as this can make upgrading clusters more difficult if we add it in 2026.1. As for now Scylla Cloud requires version 2025.4 to enable vector search and permission is set by orchestrator so there is no chance that someone will try to add this permission during upgrade. In 2026.1 it will be more difficult.
Closesscylladb/scylladb#25976
* github.com:scylladb/scylladb:
docs: adjust docs for VS auth changes
test: add tests for VECTOR_SEARCH_INDEXING permission
cql: allow VECTOR_SEARCH_INDEXING users to select
auth: add possibilty to check for any permission in set
auth: add a new permission VECTOR_SEARCH_INDEXING
In some uses of SELECT, such as aggregation (sum() et al.), GROUP BY or
secondary index, it needs to perform internal scans. It uses an "internal
page size" which before this patch was always DEFAULT_COUNT_PAGE_SIZE = 10000.
There was an ad-hoc and undocumented way to override this default in C++
tests, using functions in test/lib/select_statement_utils.hh, but it
was so non-obvious that the test that most needed to override this
default - the very slow test test_indexing_paging_and_aggregation which
would have been must faster with a lower setting - never used it.
So in this patch we replace the ad-hoc configuration functions by a
bona-fide Scylla configuration option named "select_internal_page_size".
The few C++ tests that used the old configuration functions were
modified to use the new configuration parameters. The slow test
test_indexing_paging_and_aggregation still doesn't use the new
configuration to become faster - we'll do this in the next patch.
Another benefit of having this "internal page size" as a configuration
option is that one day a user might realize that the default choice
10,000 is bad for some reason (which I can't envision right now), so
having it configurable might come it handy.
Signed-off-by: Nadav Har'El <nyh@scylladb.com>
This patch allows users with the VECTOR_SEARCH_INDEXING permission
to perform SELECT queries on tables that have a vector index.
This is needed for the Vector Store service, which
reads the vector-indexed tables, but does not require
the full SELECT permission.
ANN (aproximate nearest neighborhood) is just the name of the type
of algorithm used to perform vector search. For this reason the error
messages should refer to vector queries rather than ANN queries.
Vector search related implementation moved to a new module vector_search.
As the vector search functionality is going to be extended, it is
better to keep it in a separate module.
This patch corrects the column name formatting whenever
an "Undefined column name" exception is thrown.
Until now we used the `name()` function which
returns a bytes object. This resulted in a message
with a garbled ascii bytes column name instead of
a proper string. We switch to the `text()` function
that returns a sstring instead, making the message
readable.
Tests are adjusted to confirm this behavior.
Fixes: VECTOR-228
Closesscylladb/scylladb#26120
This patch adds the possibility to track metrics
per secondary index. Currently, only a histogram
of query latencies is tracked, but more metrics
can be added in the future. To add a new metric,
it needs to be added to the index_metrics struct
in index/secondary_index_manager.hh and then
initialized in index/secondary_index_manager.cc
in the constructor of the index_metrics struct.
The metrics are created when the index is created
and removed when the index is dropped.
First lines of the new metric:
\# HELP scylla_index_query_latencies Index query latencies
\# TYPE scylla_index_query_latencies histogram
scylla_index_query_latencies_sum{idx="test_i_idx",ks="test"} 640
scylla_index_query_latencies_count{idx="test_i_idx",ks="test"} 1
scylla_index_query_latencies_bucket{idx="test_i_idx",ks="test",le="640.000000"} 1
scylla_index_query_latencies_bucket{idx="test_i_idx",ks="test",le="768.000000"} 1
Fixes: https://github.com/scylladb/scylladb/issues/25970Closesscylladb/scylladb#25995
* github.com:scylladb/scylladb:
test: verify that the index metric is added
index, metrics: add per-index metrics
As requested in #22120, moved the files and fixed other includes and build system.
Moved files:
- query.cc
- query-request.hh
- query-result.hh
- query-result-reader.hh
- query-result-set.cc
- query-result-set.hh
- query-result-writer.hh
- query_id.hh
- query_result_merger.hh
Fixes: #22120
This is a cleanup, no need to backport
Closesscylladb/scylladb#25105
This patch adds the possibility to track metrics
per secondary index. Currently, only a histogram
of query latencies is tracked, but more metrics
can be added in the future. To add a new metric,
it needs to be added to the index_metrics struct
in index/secondary_index_manager.hh and then
initialized in index/secondary_index_manager.cc
in the constructor of the index_metrics struct.
The metrics are created when the index is created
and removed when the index is dropped.
First lines of the new metric:
\# HELP scylla_index_query_latencies Index query latencies
\# TYPE scylla_index_query_latencies histogram
scylla_index_query_latencies_sum{idx="test_i_idx",ks="test"} 640
scylla_index_query_latencies_count{idx="test_i_idx",ks="test"} 1
scylla_index_query_latencies_bucket{idx="test_i_idx",ks="test",le="640.000000"} 1
scylla_index_query_latencies_bucket{idx="test_i_idx",ks="test",le="768.000000"} 1
Since creating the vector index does not lead to creation of a view table [#24438] (whose version info had been logged in `system_schema.scylla_tables`) we lacked the information about the version of the index.
The solution we arrived at is to add the version as a field in options column of `system_schema.indexes`.
It requires few changes and seems unintruitive for existing infrastructure.
This patch implements the solution described above.
Refs: VECTOR-142
Closesscylladb/scylladb#25614
* github.com:scylladb/scylladb:
cqlpy/test_vector_index: add vector index version test
vector_index, index_prop_defs: add version to index options
create_index_statement: rename `validator` to `custom_index_factory`
custom index: rename `custom_index_option_name`
vector_index: rename `supported_options` to `vector_index_options`
Before the patch, user with CREATE access could create a table
with CDC or alter the table enabling CDC, but could not query
a SELECT on the CDC table they created.
It was due to the fact, the SELECT permission was checked on
the CDC log, and later it's "parent" - the keyspace,
but not thebase table, on which the user had SELECT permission
automatically granted on CREATE.
This patch matches the behaviour of querying the CDC log
to the one implemented for Materialized Views:
1. No new permissions are granted on CREATE.
2. When querying SELECT, the permissions on base table
SELECT are checked.
Fixes: #19798
Executing a vector search (SELECT with ANN OF ordering) query with `TRACING ON` enabled
caused a node to crash due to a null pointer dereference.
This occurred because a vector index does not have an associated view
table, making its `_view_schema` member null. The implementation
attempted to enable tracing on this null view schema, leading to the
crash.
The fix adds a null check for `_view_schema` before attempting to
enable tracing on the view (index) table.
A regression test is included to prevent this from happening again.
Fixes: VECTOR-179
Closesscylladb/scylladb#25500
