Reformat constructor initializer lists, brace placement, and
line wrapping for consistency.
The seastar logger already checks is_enabled() before formatting
arguments, so explicit guards around trace calls with simple
variable arguments are unnecessary.
AI-assisted: OpenCode / Claude Opus 4.6
Signed-off-by: Yaniv Kaul <yaniv.kaul@scylladb.com>
This patch fixes 2 issues within strong consistency state machine:
- it might happen that apply is called before the schema is delivered to the node
- on the other hand, the apply may be called after the schema was changed and purged from the schema registry
The first problem is fixed by doing `group0.read_barrier()` before applying the mutations.
The second one is solved by upgrading the mutations using column mappings in case the version of the mutations' schema is older.
Fixes SCYLLADB-428
Strong consistency is in experimental phase, no need to backport.
Closesscylladb/scylladb#28546
* https://github.com/scylladb/scylladb:
test/cluster/test_strong_consistency: add reproducer for old schema during apply
test/cluster/test_strong_consistency: add reproducer for missing schema during apply
test/cluster/test_strong_consistency: extract common function
raft_group_registry: allow to drop append entries requests for specific raft group
strong_consistency/state_machine: find and hold schemas of applying mutations
strong_consistency/state_machine: pull necessary dependencies
db/schema_tables: add `get_column_mapping_if_exists()`
Set enable_schema_commitlog for each group0 tables.
Assert that group0 tables use schema commitlog in ensure_group0_schema
(per each command).
Fixes: https://scylladb.atlassian.net/browse/SCYLLADB-914.
Needs backport to all live releases as all are vulnerable
Closesscylladb/scylladb#28876
* github.com:scylladb/scylladb:
test: add test_group0_tables_use_schema_commitlog
db: service: remove group0 tables from schema commitlog schema initializer
service: ensure that tables updated via group0 use schema commitlog
db: schema: remove set_is_group0_table param
Set enable_schema_commitlog for each group0 tables.
Assert that group0 tables use schema commitlog in ensure_group0_schema
(per each command).
Fixes: https://scylladb.atlassian.net/browse/SCYLLADB-914.
set_is_group0_table takes an enabled flag, based on which it decides
whether it's a group0 table. The method is called only with enabled = true.
Drop the param. For not group0 tables nothing should be set.
In this series we introduce new system tables and use them for storing the raft metadata
for strongly consistent tables. In contrast to the previously used raft group0 tables, the
new tables can store data on any shard. The tables also allow specifying the shard where
each partition should reside, which enables the tablets of strongly consistent tables to have
their raft group metadata co-located on the same shard as the tablet replica.
The new tables have almost the same schemas as the raft group0 tables. However, they
have an additional column in their partition keys. The additional column is the shard
that specifies where the data should be located. While a tablet and its corresponding
raft group server resides on some shard, it now writes and reads all requests to the
metadata tables using its shard in addition to the group_id.
The extra partition key column is used by the new partitioner and sharder which allow
this special shard routing. The partitioner encodes the shard in the token and the
sharder decodes the shard from the token. This approach for routing avoids any
additional lookups (for the tablet mapping) during operations on the new tables
and it also doesn't require keeping any state. It also doesn't interact negatively
with resharding - as long as tablets (and their corresponding raft metadata) occupy
some shard, we do not allow starting the node with a shard count lower than the
id of this shard. When increasing the shard count, the routing does not change,
similarly to how tablet allocation doesn't change.
To use the new tables, a new implementation of `raft::persistence` is added. Currently,
it's almost an exact copy of the `raft_sys_table_storage` which just uses the new tables,
but in the future we can modify it with changes specific to metadata (or mutation)
storage for strongly consistent tables. The new storage is used in the `groups_manager`,
which combined with the removal of some `this_shard_id() == 0` checks, allows strongly
consistent tables to be used on all shards.
This approach for making sure that the reads/writes to the new tables end up on the correct shards
won in the balance of complexity/usability/performance against a few other approaches we've considered.
They include:
1. Making the Raft server read/write directly to the database, skipping the sharder, on its shard, while using
the default partitioner/sharder. This approach could let us avoid changing the schema and there should be
no problems for reads and writes performed by the Raft server. However, in this approach we would input
data in tables conflicting with the placement determined by the sharder. As a result, any read going through
the sharder could miss the rows it was supposed to read. Even when reading all shards to find a specific value,
there is a risk of polluting the cache - the rows loaded on incorrect shards may persist in the cache for an unknown
amount of time. The cache may also mistakenly remember that a row is missing, even though it's actually present,
just on an incorrect shard.
Some of the issues with this approach could be worked around using another sharder which always returns
this_shard_id() when asked about a shard. It's not clear how such a sharder would implement a method like
`token_for_next_shard`, and how much simpler it would be compared to the current "identity" sharder.
2. Using a sharder depending on the current allocation of tablets on the node. This approach relies on the
knowledge of group_id -> shard mapping at any point in time in the cluster. For this approach we'd also
need to either add a custom partitioner which encodes the group_id in the token, or we'd need to track the
token(group_id) -> shard mapping. This approach has the benefit over the one used in the series of keeping
the partition key as just group_id. However, it requires more logic, and the access to the live state of the node
in the sharder, and it's not static - the same token may be sharded differently depending on the state of the
node - it shouldn't occur in practice, but if we changed the state of the node before adjusting the table data,
we would be unable to access/fix the stale data without artificially also changing the state of the node.
3. Using metadata tables co-located to the strongly consistent tables. This approach could simplify the
metadata migrations in the future, however it would require additional schema management of all co-located
metadata tables, and it's not even obvious what could be used as the partition key in these tables - some
metadata is per-raft-group, so we couldn't reuse the partition key of the strongly consistent table for it. And
finding and remembering a partition key that is routed to a specific shard is not a simple task. Finally, splits
and merges will most likely need special handling for metadata anyway, so we wouldn't even make use of
co-located table's splits and merges.
Fixes [SCYLLADB-361](https://scylladb.atlassian.net/browse/SCYLLADB-361)
[SCYLLADB-361]: https://scylladb.atlassian.net/browse/SCYLLADB-361?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQClosesscylladb/scylladb#28509
* github.com:scylladb/scylladb:
docs: add strong consistency doc
test/cluster: add tests for strongly-consistent tables' metadata persistence
raft: enable multi-shard raft groups for strongly consistent tablets
test/raft: add unit tests for raft_groups_storage
raft: add raft_groups_storage persistence class
db: add system tables for strongly consistent tables' raft groups
dht: add fixed_shard_partitioner and fixed_shard_sharder
raft: add group_id -> shard mapping to raft_group_registry
schema: add with_sharder overload accepting static_sharder reference
This patch enables the per-row TTL feature in CQL (Refs #13000).
This patch allows the user to create a new table with one of its columns
designated as the TTL column with a syntax like:
CREATE TABLE tab (
id int PRIMARY KEY,
t text,
expiration timestamp TTL
);
The column marked "TTL" must have the "timestamp", "bigint" or "int"
types (the choice of these types was explained in the previous patch),
and there can only be one such column. We decided not to allow a column
to be both a primary key column and a TTL column - although it would
have worked (it's supported in Alternator), I considered this non-useful
and confusing, and decided not to allow it in CQL. A TTL column also
can't be a static column.
We save the information of which column is the TTL column in a tag which
is read by the "expiration service" - originally a part of Alternator's
TTL implementation. After the previous patch, the expiration service is
running and knows how to understand CQL tables, so the CQL per-row TTL
feature will start to work.
This patch also implements DESC TABLE, printing the word "TTL" in the
right place of the output.
This patch doesn't yet implement ALTER TABLE that should allow enabling
or disabling the TTL column setting on an existing table - we'll do that
in the next patch.
A large collection of functional tests (in test/cqlpy), for every detail
of this feature will be added in a later patch.
Signed-off-by: Nadav Har'El <nyh@scylladb.com>
Add a schema_builder::with_sharder() overload that accepts a const
reference to dht::static_sharder. This allows schemas to use custom
sharder instances instead of only static sharder configurations.
This is needed to support tables that use custom partitioning and
sharding strategies, such as the incoming raft metadata tables for
strongly consistent tables.
In PR 5b6570be52 we introduced the config option `sstable_compression_user_table_options` to allow adjusting the default compression settings for user tables. However, the new option was hooked into the CQL layer and applied only to CQL base tables, not to the whole spectrum of user tables: CQL auxiliary tables (materialized views, secondary indexes, CDC log tables), Alternator base tables, Alternator auxiliary tables (GSIs, LSIs, Streams).
This gap also led to inconsistent default compression algorithms after we changed the option’s default algorithm from LZ4 to LZ4WithDicts (adf9c426c2).
This series introduces a general “schema initializer” mechanism in `schema_builder` and uses it to apply the default compression settings uniformly across all user tables. This ensures that all base and aux tables take their default compression settings from config.
Fixes#26914.
Backport justification: LZ4WithDicts is the new default since 2025.4, but the config option exists since 2025.2. Based on severity, I suggest we backport only to 2025.4 to maintain consistency of the defaults.
Closesscylladb/scylladb#27204
* github.com:scylladb/scylladb:
db/config: Update sstable_compression_user_table_options description
schema: Add initializer for compression defaults
schema: Generalize static configurators into schema initializers
schema: Initialize static properties eagerly
db: config: Add accessor for sstable_compression_user_table_options
test: Check that CQL and Alternator tables respect compression config
Problem
-------
Secondary indexes are implemented via materialized views under the
hood. The way an index behaves is determined by the configuration
of the view. Currently, it can be modified by performing the CQL
statement `ALTER MATERIALIZED VIEW` on it. However, that raises some
concerns.
Consider, for instance, the following scenario:
1. The user creates a secondary index on a table.
2. In parallel, the user performs writes to the base table.
3. The user modifies the underlying materialized view, e.g. by setting
the `synchronous_updates` to `true` [1].
Some of the writes that happened before step 3 used the default value
of the property (which is `false`). That had an actual consequence
on what happened later on: the view updates were performed
asynchronously. Only after step 3 had finished did it change.
Unfortunately, as of now, there is no way to avoid a situation like
that. Whenever the user wants to configure a secondary index they're
creating, they need to do it in another schema change. Since it's
not always possible to control how the database is manipulated in
the meantime, it leads to problems like the one described.
That's not all, though. The fact that it's not possible to configure
secondary indexes is inconsistent with other schema entities. When
it comes to tables or materialized views, the user always have a means
to set some or even all of the properties during their creation.
Solution
--------
The solution to this problem is extending the `CREATE INDEX` CQL
statement by view properties. The syntax is of form:
```
> CREATE INDEX <index name>
> .. ON <keyspace>.<table> (<columns>)
> .. WITH <properties>
```
where `<properties>` corresponds to both index-specific and view
properties [2, 3]. View properties can only be used with indexes
implemented with materialized views; for example, it will be impossible
to create a vector index when specifying any view property (see
examples below).
When a view property is provided, it will be applied when creating the
underlying materialized view. The behavior should be similar to how
other CQL statements responsible for creating schema entities work.
High-level implementation strategy
----------------------------------
1. Make auxiliary changes.
2. Introduce data structures representing the new set of index
properties: both index-specific and those corresponding to the
underlying view.
3. Extend `CREATE INDEX` to accept view properties.
4. Extend `DESCRIBE INDEX` and other `DESCRIBE` statements to include
view properties in their output.
User documentation is also updated at the steps to reflect the
corresponding changes.
Implementation considerations
-----------------------------
There are a number of schema properties that are now obsolete. They're
accepted by other CQL statements, but they have no effect. They
include:
* `index_interval`
* `replicate_on_write`
* `populate_io_cache_on_flush`
* `read_repair_chance`
* `dclocal_read_repair_chance`
If the user tries to create a secondary index specifying any of those
keywords, the statement will fail with an appropriate error (see
examples below).
Unlike materialized views, we forbid specifying the clustering order
when creating a secondary index [4]. This limitation may be lifted
later on, but it's a detail that may or may not prove troublesome. It's
better to postpone covering it to when we have a better perspective on
the consequences it would bring.
Examples
--------
Good examples
```
> CREATE INDEX idx ON ks.t (v);
> CREATE INDEX idx ON ks.t (v) WITH comment = 'ok view property';
> CREATE INDEX idx ON ks.t (v)
.. WITH comment = 'multiple view properties are ok'
.. AND synchronous_updates = true;
> CREATE INDEX idx ON ks.t (v)
.. WITH comment = 'default value ok'
.. AND synchronous_updates = false;
```
Bad examples
```
> CREATE INDEX idx ON ks.t (v) WITH replicate_on_write = true;
SyntaxException: Unknown property 'replicate_on_write'
> CREATE INDEX idx ON ks.t (v)
.. WITH OPTIONS = {'option1': 'value1'}
.. AND comment = 'some text';
InvalidRequest: Error from server: code=2200 [Invalid query]
message="Cannot specify options for a non-CUSTOM index"
> CREATE CUSTOM INDEX idx ON ks.t (v)
.. WITH OPTIONS = {'option1': 'value1'}
.. AND comment = 'some text';
InvalidRequest: Error from server: code=2200 [Invalid query]
message="CUSTOM index requires specifying the index class"
> CREATE CUSTOM INDEX idx ON ks.t (v)
.. USING 'vector_index'
.. WITH OPTIONS = {'option1': 'value1'}
.. AND comment = 'some text';
InvalidRequest: Error from server: code=2200 [Invalid query]
message="You cannot use view properties with a vector index"
> CREATE INDEX idx ON ks.t (v) WITH CLUSTERING ORDER BY (v ASC);
InvalidRequest: Error from server: code=2200 [Invalid query]
message="Indexes do not allow for specifying the clustering order"
```
and so on. For more examples, see the relevant tests.
References:
[1] https://docs.scylladb.com/manual/branch-2025.4/cql/cql-extensions.html#synchronous-materialized-views
[2] https://docs.scylladb.com/manual/branch-2025.4/cql/secondary-indexes.html#create-index
[3] https://docs.scylladb.com/manual/branch-2025.4/cql/mv.html#mv-options
[4] https://docs.scylladb.com/manual/branch-2025.4/cql/dml/select.html#ordering-clauseFixesscylladb/scylladb#16454
Backport: not needed. This is an enhancement.
Closesscylladb/scylladb#24977
* github.com:scylladb/scylladb:
cql3: Extend DESC INDEX by view properties
cql3: Forbid using CLUSTERING ORDER BY when creating index
cql3: Extend CREATE INDEX by MV properties
cql3/statements/create_index_statement: Allow for view options
cql3/statements/create_index_statement: Rename member
cql3/statements/index_prop_defs: Re-introduce index_prop_defs
cql3/statements/property_definitions: Add extract_property()
cql3/statements/index_prop_defs.cc: Add namespace
cql3/statements/index_prop_defs.hh: Rename type
cql3/statements/view_prop_defs.cc: Move validation logic into file
cql3/statements: Introduce view_prop_defs.{hh,cc}
cql3/statements/create_view_statement.cc: Move validation of ID
schema/schema.hh: Do not include index_prop_defs.hh
In PR 5b6570be52 we introduced the config option
`sstable_compression_user_table_options` to allow adjusting the default
compression settings for user tables. However, the new option was hooked
into the CQL layer and applied only to CQL base tables, not to the whole
spectrum of user tables: CQL auxiliary tables (materialized views,
secondary indexes, CDC log tables), Alternator base tables, Alternator
auxiliary tables (GSIs, LSIs, Streams).
Fix this by moving the logic into the `schema_builder` via a schema
initializer. This ensures that the default compression settings are
applied uniformly regardless of how the table is created, while also
keeping the logic in a central place.
Register the initializer at startup in all executables where schemas are
being used (`scylla_main()`, `scylla_sstable_main()`, `cql_test_env`).
Finally, remove the ad-hoc logic from `create_table_statement`
(redundant as of this patch), remove the xfail markers from the relevant
tests and adjust `test_describe_cdc_log_table_create_statement` to
expect LZ4WithDicts as the default compressor.
Fixes#26914.
Signed-off-by: Nikos Dragazis <nikolaos.dragazis@scylladb.com>
Extend the `static_configurator` mechanism to support initialization of
arbitrary schema properties, not only static ones, by passing a
`schema_builder` reference to the configurator interface.
As part of this change, rename `static_configurator` to
`schema_initializer` to better reflect its broader responsibility.
Add a checkpoint/restore mechanism to allow de-registering an
initializer (useful for testing; will be used in the next patch).
Signed-off-by: Nikos Dragazis <nikolaos.dragazis@scylladb.com>
Schemas maintain a set of so-called "static properties". These are not
user-visible schema properties; they are internal values carried by
in-memory `schema` objects for convenience (349bc1a9b6,
https://github.com/scylladb/scylladb/pull/13170#issuecomment-1469848086).
Currently, the initialization of these properties happens when a
`schema_builder` builds a schema (`schema_builder::build()`), by
invoking all registered "static configurators".
This patch moves the initialization of static properties into the
`schema_builder` constructor. With this change, the builder initializes
the properties once, stores them in a data member, and reuses them for
all schema objects that it builds. This doesn't affect correctness as
the values produced by static configurators are "static" by
nature; they do not depend on runtime state.
In the next patch, we will replace the "static configurator" pattern
with a more general pattern that also supports initialization of regular
schema properties, not just static ones. Regular properties cannot be
initialized in `build()` because users may have already explicitly set
values via setters, and there is no way to distinguish between default
values and explicitly assigned ones.
Signed-off-by: Nikos Dragazis <nikolaos.dragazis@scylladb.com>
When learning a schema that has a linked cdc schema, we need to learn
also the cdc schema, and at the end the schema should point to the
learned cdc schema.
This is needed because the linked cdc schema is used for generating cdc
mutations, and when we process the mutations later it is assumed in some
places that the mutation's schema has a schema registry entry.
We fix a scenario where we could end up with a schema that points to a
cdc schema that doesn't have a schema registry entry. This could happen
for example if the schema is loaded before it is learned, so when we
learn it we see that it already has an entry. In that case, we need to
set the cdc schema to the learned cdc schema as well, because it could
have been loaded previously with a cdc schema that was not learned.
Fixesscylladb/scylladb#27610Closesscylladb/scylladb#27704
We're extending the logic of DESCRIBE INDEX to include properties of the
underlying materialized view. Tests are provided to ensure the
implementation works as intended.
One of the upcoming commits will lead to a cyclic dependency
of headers because `schema.hh` includes `index_prop_defs.hh`.
To prevent that, we remove the include and replace it with
a manually added alias.
This is not a perfect solution, but doing it properly would
require comprehensive changes. We can do that in a separate
task.
Add precompiled header support to CMakeLists.txt and configure.py -
it improves compilation time by approximately 10%.
New header `stdafx.hh` is added, don't include it manually -
the compiler will include it for you. The header contains includes from
external libraries used by Scylla - seastar, standard library,
linux headers and zlib.
The feature is enabled by default, use CMake option `Scylla_USE_PRECOMPILED_HEADER`
or configure.py --disable-precompiled-header to disable.
The feature should be disabled, when trying to check headers - otherwise
you might get false negatives on missing includes from seastar / abseil and so on.
Note: following configuration needs to be added to ccache.conf:
sloppiness = pch_defines,time_macros,include_file_mtime,include_file_ctime
Closesscylladb/scylladb#26617
The properties can be directly manipulated by the user
via statements like `ALTER TABLE`. To better organize
the structure of `raw_schema`, we encapsulate that data
in the form of a dedicated struct. This change will be
later used for applying multiple properties to `schema_builder`
in one go.
This patch series re-enables support for speculative retry values `0` and `100`. These values have been supported some time ago, before [schema: fix issue 21825: add validation for PERCENTILE values in speculative_retry configuration. #21879
](https://github.com/scylladb/scylladb/pull/21879). When that PR prevented using invalid `101PERCENTILE` values, valid `100PERCENTILE` and `0PERCENTILE` value were prevented too.
Reproduction steps from [[Bug]: drop schema and all tables after apply speculative_retry = '99.99PERCENTILE' #26369](https://github.com/scylladb/scylladb/issues/26369) are unable to reproduce the issue after the fix. A test is added to make sure the inclusive border values `0` and `100` are supported.
Documentation is updated to give more information to the users. It now states that these border values are inclusive, and also that the precision, with automatic rounding, is 1 decimal digit.
Fixes#26369
This is a bug fix. If at any time a client tries to use value >= 99.5 and < 100, the raft error will happen. Backport is needed. The code which introduced inconsistency is introduced in 2025.2, so no backporting to 2025.1.
Closesscylladb/scylladb#26909
* github.com:scylladb/scylladb:
test: cqlpy: add test case for non-numeric PERCENTILE value
schema: speculative_retry: update exception type for sstring ops
docs: cql: ddl.rst: update speculative-retry-options
test: cqlpy: add test for valid speculative_retry values
schema: speculative_retry: allow 0 and 100 PERCENTILE values
Change speculative_retry::to_sstring and speculative_retry::from_sstring
to throw exceptions::configuration_exception instead of std::invalid_argument.
These errors can be triggered by CQL, so appropriate CQL exception should be
used.
Reference: https://github.com/scylladb/scylladb/issues/24748#issuecomment-3025213304
Refs #26369
This patch allows specifying 0 and 100 PERCENTILE values in speculative_retry.
It was possible to specify these values before #21825. #21825 prevented specifying
invalid values, like -1 and 101, but also prevented using 0 and 100.
On top of that, speculative_retry::to_sstring function did rounding when
formatting the string, which introduced inconsistency.
Fixes#26369
Add to the schema object a member that points to the CDC schema object
that is compatible with this schema, if any.
The compatible CDC schema is created and altered with its base schema in
the same group0 operation.
When generating CDC log mutations for some base mutation we want them to
be created using a compatible schema thas has a CDC column corresponding
to each base column. This change will allow us to find the right CDC
schema given a base mutation.
We also update the relevant structures in the schema registry that are
related to learning about schemas and transporting schemas across
shards or nodes.
When transporting a schema as frozen_schema, we need to transport the
frozen cdc schema as well, and set it again when unfreezing and
reconstructing the schema.
When adding a schema to the registry, we need to ensure its CDC schema
is added to the registry as well.
Currently we always set the CDC schema to nullptr and maintain the
previous behavior. We will change it in a later commit. Until then, we
mark all places where CDC schema is passed clearly so we don't forget
it.
remove the _base_info member from global_schema_ptr, and used the
base_info we have stored in the schema registry entry instead.
Currently when constructing a global_schema_ptr from a schema_ptr it
extracts and stores the base_info from the schema_ptr. Later it uses it
to reconstruct the schema_ptr, together with the frozen schema from the
schema registry entry.
But we can use the base_info that is already stored in the
schema registry entry.
Change the schema loader type in the schema_registry to return a
extended_frozen_schema instead of view_schema_and_base_info, and
remove view_schema_and_base_info which is not used anymore.
The casting between them is trivial.
The schema_registry_entry holds a frozen_schema and a base_info. The
base_info is extracted from the schema_ptr on load of a schema_ptr, and
it is used when unfreezing the schema.
But this is exactly what extended_frozen_schema is doing, so we can
just store an object of this type in the schema_registry_entry.
This makes the code simpler because the schema registry doesn't need to
be aware of the base_info.
Currently we construct a frozen schema with base info in few places, and
the caller is responsible for constructing the frozen schema and extracting
the base info if it's a view table.
We change it to make it simpler and remove the burden from the caller.
The caller can simply pass the schema_ptr, and the constructor for
extended_frozen_schema will construct the frozen schema and extract
the additional info it needs. This will make it easier to add additional
fields, and reduces code duplication.
We also make temporary castings between extended_frozen_schema and
view_schema_and_base_info for the transition, which are trivial, until
they are combined to a single type.
This commit starts a series of refactoring commits of the frozen_schema
to reduce duplication and make it easier to extend.
Currently there are two essentially identical types,
frozen_schema_with_base_info and view_schema_and_base_info in the
schema_registry that hold a frozen_schema together with a base_info for
view schemas.
Their role is to pass around a frozen schema together with additional
info that is extracted from the schema and passed around with it when
transporting it across shards or nodes, and is needed for
reconstructing it, and it is not part of the schema mutations.
Our goal is to combine them to a single type that we will call
extended_frozen_schema.
The namespace usage in this directory is very inconsistent, with files
and classes scattered in:
* global namespace
* namespace compaction
* namespace sstables
With cases, where all three used in the same file. This code used to
live in sstables/ and some of it still retains namespace sstables as a
heritage of that time. The mismatch between the dir (future module) and
the namespace used is confusing, so finish the migration and move all
code in compaction/ to namespace compaction too.
This patch, although large, is mechanic and only the following kind of
changes are made:
* replace namespace sstable {} with namespace compaction {}
* add namespace compaction {}
* drop/add sstables::
* drop/add compaction::
* move around forward-declarations so they are in the correct namespace
context
This refactoring revealed some awkward leftover coupling between
sstables and compaction, in sstables/sstable_set.cc, where the
make_sstable_set() methods of compaction strategies are implemented.
As requested in #22104, moved the files and fixed other includes and build system.
Moved files:
- combine.hh
- collection_mutation.hh
- collection_mutation.cc
- converting_mutation_partition_applier.hh
- converting_mutation_partition_applier.cc
- counters.hh
- counters.cc
- timestamp.hh
Fixes: #22104
This is a cleanup, no need to backport
Closesscylladb/scylladb#25085
Add precompiled header support to CMakeLists.txt and configure.py -
it improves compilation time by approximately 10%.
New header `stdafx.hh` is added, don't include it manually -
the compiler will include it for you. The header contains includes from
external libraries used by Scylla - seastar, standard library,
linux headers and zlib.
The feature is enabled by default, use CMake option `Scylla_USE_PRECOMPILED_HEADER`
or configure.py --disable-precompiled-header to disable.
The feature should be disabled, when trying to check headers - otherwise
you might get false negatives on missing includes from seastar / abseil and so on.
Note: following configuration needs to be added to ccache.conf:
sloppiness = pch_defines,time_macros
Closes#25182
Fixes#22106
Moves the shared compress components to sstables, and rename to
match class type.
Adjust includes, removing redundant/unneeded ones where possible.
Closesscylladb/scylladb#25103
As requested in #22102, #22103 and #22105 moved the files and fixed other includes and build system.
Moved files:
- clustering_bounds_comparator.hh
- keys.cc
- keys.hh
- clustering_interval_set.hh
- clustering_key_filter.hh
- clustering_ranges_walker.hh
- compound_compat.hh
- compound.hh
- full_position.hh
Fixes: #22102Fixes: #22103Fixes: #22105Closesscylladb/scylladb#25082
Before for views and indexes it was fetching base schema from db (and
couple other properties). This is a problem once we introduce atomic
tables and views deletion (in the following commit).
Because once we delete table it can no longer be fetched from db object,
and truncation is performed after atomically deleting all relevant
tables/views/indexes.
Now the whole relevant schema will be fetched via global_table_ptr
(table_shards) object.
When describing a table, we need to do it carefully: if some
columns were dropped, we must specify that explicitly by
```
ALTER TABLE {table} DROP {column} USING TIMESTAMP ...
```
in the result of the DESCRIBE statement. Failing to do so
could lead to data resurrection.
However, if a table has been altered many, many times,
we might end up with a huge create statement. Constructing
it could, in turn, trigger an oversized allocation.
Some tests ran into that very problem in fact.
In this commit, we want to mitigate the problem: instead of
allocating a contiguous chunk of memory for the create
statement, we use `fragmented_ostringstream` and `managed_string`
to possibly keep data scattered in memory. It makes handling
`cql3::description` less convenient in the code, but since
the struct is pretty much immediately serialized after
creating it, it's a very good trade-off.
We provide a reproducer. It consistently passes with this commit,
while having about 50% chance of failure before it (based on my
own experiments). Playing with the parameters of the test
doesn't seem to improve that chance, so let's keep it as-is.
Fixesscylladb/scylladb#24018
This commit increases the maximum length of names for keyspaces, tables, materialized views, and indexes from 48 to 192 bytes.
The previous 48-bytes limit was inherited from Cassandra 3 for compatibility. However, this validation was removed in Cassandra 4 and 5 (see CASSANDRA-20389)
and some usage scenarios (such as some feature store workflows generating long table names) now depend on this relaxed constraint.
This change brings ScyllaDB's behavior in line with modern Cassandra versions and better supports these use cases.
The new limit of 192 bytes is derived from underlying filesystem limitations to prevent runtime errors when creating directories for table data.
When a new table is created, ScyllaDB generates a directory for its SSTables. The directory name is constructed from the table name, a dash, and a 32-character UUID.
For a CDC-enabled table, an associated log table is also created, which has the suffix `_scylla_cdc_log` appended to its name.
The directory name for this log table becomes the longest possible representation.
Additionally we reserve 15 bytes for future use, allowing for potential future extensions without breaking existing schemas.
To guarantee that directory creation never fails due to exceeding filesystem name limits, the maximum name length is calculated as follows:
255 bytes (common filesystem limit for a path component)
- 32 bytes (for the 32-character UUID string)
- 1 byte (for the '-' separator)
- 15 bytes (for the '_scylla_cdc_log' suffix)
- 15 bytes (reserved for future use)
----------
= 192 bytes (Maximum allowed name length)
This calculation is similar in principle to the one proposed for Cassandra to fix related directory creation failures (see apache/cassandra/pull/4038).
This patch also updates/adds all associated tests to validate the new 192-byte limit.
The documentation has been updated accordingly.
This reverts commit 0b516da95b, reversing
changes made to 30199552ac. It breaks
cluster.random_failures.test_random_failures.test_random_failures
in debug mode (at least).
Fixes#24513
Before for views and indexes it was fetching base schema from db (and
couple other properties). This is a problem once we introduce atomic
tables and views deletion (in the following commit).
Because once we delete table it can no longer be fetched from db object,
and truncation is performed after atomically deleting all relevant
tables/views/indexes.
Now the whole relevant schema will be fetched via global_table_ptr
(table_shards) object.
This pull request adds support for creating custom indexes (at a metadata level) as long as a supported custom class is provided (currently only vector search).
The patch contains:
- a change in CREATE INDEX statement that allows for the USING keyword to be present as long as one of the supported classes is used
- support for describing custom indexes in the DESCRIBE statement
- unit tests
Co-authored by: @Balwancia
Closesscylladb/scylladb#23720
* github.com:scylladb/scylladb:
test/cqlpy: add custom index tests
index: support storing metadata for custom indices
Added function returning custom index class name.
Added printing custom index class name when using DESCRIBE.
Changed validation to reflect current support of indices.
