055a6c2cee
Consider the following scenario:
- Current replica set is [A, B, C]
- write succeeds on [A, B], and a hint is logged for node C
- before the hint is replayed, D bootstraps and the token migrates from C to D
- hint is replayed to node C while D is pending, but it's too late, since streaming for that token is already done
- C is cleaned up, replayed data is lost, and D has a stale copy until next repair.
In the scenario we effectively fail to send the hint. This scenario is also more likely to happen with tablets,
as it can happen for every tablet migration.
This issue is particularly detrimental to materialized views. View updates use hints by default and a specific
view update may be sent to just one view replica (when a single base replica has a different row state due to
reordering or missed writes). When we lose a hint for such a view update, we can generate a persistent inconsistency
between the base and view - ghost rows can appear due to a lost tombstone and rows may be missing in the view due
to a lost row update. Such inconsistencies can't be fixed neither by repairing the view or the base table.
To handle this, in this patch we add the pending replicas to the list of targets of each hint, even if the original
target is still alive.
This will cause some updates to be redundant. These updates are probably unavoidable for now, but they shouldn't
be too common either. The scenarios for them are:
1. managing to send the hint to the source of a migrating replica before streaming that its token - the write will
arrive on the pending replica anyway in streaming
2. the hint target not being the source of the migration - if we managed to apply the original write of the hint to
the actual source of the migration, the pending replica will get it during streaming
3. sending the same hint to many targets at a similar time - while sending to each target, we'll see the same pending
replica for the hint so we'll send it multiple times
4. possible retries where even though the hint was successfully sent to the main target, we failed to send it to the
pending replica, so we need to retry the entire write
This patch handles both tablet migrations and tablet rebuilds. In the future, for tablet migrations, we can avoid
sending the hint to pending replias if the hint target is not the source fo the migration, which would allow us to
avoid the redundant writes 2 and 3. For rack-aware RF, this will be as simple as checking whether the replicas are
in the same rack.
We also add a test case reproducing the issue.
Co-Authored-By: Raphael S. Carvalho <raphaelsc@scylladb.com>
Fixes https://github.com/scylladb/scylladb/issues/19835
Closes scylladb/scylladb#25590
(cherry picked from commit 10b8e1c51c)
Closes scylladb/scylladb#25882
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.