eef798d84f
Most likely 817fdad uncovered the fact that our choice of primary replica was resonating with tablet allocation and we were ending up picking the same replica as primary within a scope instead of rotating primaryship among all replicas in the scope.
This created situations where for instance, restoring into a 9 nodes with primary_replica_only=true would put all data into 3 nodes, leaving the other 6 unused. The balancing of the dataset was performed by the subsequent repair step.
This PR fixes this by changing the formula for picking up the primary replica out of a set of eligible replicas from within the passed scope.
The PR also extends the testing scenarios in `test_backup.py` so we get to run restore for a set of topologies, for all combinations of scope, primary_replica_only and min_tablet_counts.
Most of the work was done by @bhalevy [here](https://github.com/scylladb/scylladb/compare/master...bhalevy:scylla:load-balance-primary-replica), this PR just splitted it and did touchups here and there.
Fixes #27281
Closes scylladb/scylladb#27397
* github.com:scylladb/scylladb:
test: reduce dataset and number of test cases or debug builds
test: bump repair timeout up, it's sometimes not enough in CI
test: refactor test_refresh.py to match test_restore_with_streaming_scopes.
test: extend test_restore_with_streaming_scopes
test: Adjust test_restore_primary_replica_different_dc_scope_all
test: Refactor restoring code in test_backup to match SM pattern
test: add check_mutation_replicas calls after fresh creation of dataset
test: extend create_dataset to accept consistency_level
test: refactor check_mutation_replicas so it's more readable
test: make create_dataset async and refactor so it's configurable
test: use defaultdict in collect_mutations
test: add log marks to facilitate reusing server for restore
locator: tablets: Distribute data evenly among primary replicas during restore
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.