35cd7f9239
query_processor::prepare() could race with prepared statement invalidation: after loading from the prepared cache, we converted the cached object to a checked weak pointer and then continued asynchronous work (including error-injection waitpoints). If invalidation happened in that window, the weak handle could no longer be promoted and the prepare path could fail nondeterministically.
This change keeps a strong cache entry reference alive across the whole critical section in prepare() by using a pinned cache accessor (get_pinned()), and only deriving the weak handle while the entry is pinned. This removes the lifetime gap without adding retry loops.
Test coverage was extended in test/cluster/test_prepare_race.py:
- reproduces the invalidation-during-prepare window with injection,
- verifies prepare completes successfully,
- then invalidates again and executes the same stale client prepared object,
- confirms the driver transparently re-requests/re-prepares and execution succeeds.
This change introduces:
- no behavior change for normal prepare flow besides stronger lifetime guarantees,
- no new protocol semantics,
- preserves existing cache invalidation logic,
- adds explicit cluster-level regression coverage for both the race and driver reprepare path.
- pushes the re prepare operation twards the driver, the server will return unprepared error for the first time and the driver will have to re prepare during execution stage
Fixes: https://github.com/scylladb/scylladb/issues/27657
Backport to active branches recommended: No node crash, but user-visible PREPARE failures under rare schema-invalidation race; low-risk timeout-bounded retry improves robustness.
Closes scylladb/scylladb#28952
* github.com:scylladb/scylladb:
transport/messages: hold pinned prepared entry in PREPARE result
cql3: pin prepared cache entry in prepare() to avoid invalid weak handle race
(cherry picked from commit d9a277453e)
Closes scylladb/scylladb#29001
Scylla
What is Scylla?
Scylla is the real-time big data database that is API-compatible with Apache Cassandra and Amazon DynamoDB. Scylla embraces a shared-nothing approach that increases throughput and storage capacity to realize order-of-magnitude performance improvements and reduce hardware costs.
For more information, please see the ScyllaDB web site.
Build Prerequisites
Scylla is fairly fussy about its build environment, requiring very recent versions of the C++23 compiler and of many libraries to build. The document HACKING.md includes detailed information on building and developing Scylla, but to get Scylla building quickly on (almost) any build machine, Scylla offers a frozen toolchain. This is a pre-configured Docker image which includes recent versions of all the required compilers, libraries and build tools. Using the frozen toolchain allows you to avoid changing anything in your build machine to meet Scylla's requirements - you just need to meet the frozen toolchain's prerequisites (mostly, Docker or Podman being available).
Building Scylla
Building Scylla with the frozen toolchain dbuild is as easy as:
$ git submodule update --init --force --recursive
$ ./tools/toolchain/dbuild ./configure.py
$ ./tools/toolchain/dbuild ninja build/release/scylla
For further information, please see:
- Developer documentation for more information on building Scylla.
- Build documentation on how to build Scylla binaries, tests, and packages.
- Docker image build documentation for information on how to build Docker images.
Running Scylla
To start Scylla server, run:
$ ./tools/toolchain/dbuild ./build/release/scylla --workdir tmp --smp 1 --developer-mode 1
This will start a Scylla node with one CPU core allocated to it and data files stored in the tmp directory.
The --developer-mode is needed to disable the various checks Scylla performs at startup to ensure the machine is configured for maximum performance (not relevant on development workstations).
Please note that you need to run Scylla with dbuild if you built it with the frozen toolchain.
For more run options, run:
$ ./tools/toolchain/dbuild ./build/release/scylla --help
Testing
See test.py manual.
Scylla APIs and compatibility
By default, Scylla is compatible with Apache Cassandra and its API - CQL. There is also support for the API of Amazon DynamoDB™, which needs to be enabled and configured in order to be used. For more information on how to enable the DynamoDB™ API in Scylla, and the current compatibility of this feature as well as Scylla-specific extensions, see Alternator and Getting started with Alternator.
Documentation
Documentation can be found here. Seastar documentation can be found here. User documentation can be found here.
Training
Training material and online courses can be found at Scylla University. The courses are free, self-paced and include hands-on examples. They cover a variety of topics including Scylla data modeling, administration, architecture, basic NoSQL concepts, using drivers for application development, Scylla setup, failover, compactions, multi-datacenters and how Scylla integrates with third-party applications.
Contributing to Scylla
If you want to report a bug or submit a pull request or a patch, please read the contribution guidelines.
If you are a developer working on Scylla, please read the developer guidelines.
Contact
- The community forum and Slack channel are for users to discuss configuration, management, and operations of ScyllaDB.
- The developers mailing list is for developers and people interested in following the development of ScyllaDB to discuss technical topics.