ca80ee8586
The supergroup replaces streaming (a.k.a. maintenance as well) group, inherits 200 shares from it and consists of four sub-groups (all have equal shares of 200 withing the new supergroup) * maintenance_compaction. This group configures `compaction_manager::maintenance_sg()` group. User-triggered compaction runs in it * backup. This group configures `snapshot_ctl::config::backup_sched_group`. Native backup activity runs there * maintenance. It's a new "visible" name, everything that was called "maintenance" in the code ran in "streaming" group. Now it will run in "maintenance". The activities include those that don't communicate over RPC (see below why) * `tablet_allocator::balance_tablets()` * `sstables_manager::components_reclaim_reload_fiber()` * `tablet_storage_group_manager::merge_completion_fiber()` * metrics exporting http server altogether * streaming. This is purely existing streaming group that just moves under the new supergroup. Everything else that was run there, continues doing so, including * hints sender * all view building related components (update generator, builder, workers) * repair * stream_manager * messaging service (except for verb handlers that switch groups) * join_cluster() activity * REST API * ... something else I forgot The `--maintenance_io_throughput_mb_per_sec` option is introduced. It controls the IO throughput limit applied to the maintenance supergroup. If not set, the `--stream_io_throughput_mb_per_sec` option is used to preserve backward compatibility. All new sched groups inherit `request_class::maintenance` (however, "backup" seem not to make any requests yet). Moving more activities from "streaming" into "maintenance" (or its own group) is possible, but one will need to take care of RPC group switching. The thing is that when a client makes an RPC call, the server may switch to one of pre-negotiated scheduling groups. Verbs for existing activities that run in "streaming" group are routed through RPC index that negotiates "streaming" group on the server side. If any of that client code moves to some other group, server will still run the handlers in "streaming" which is not quite expected. That's one of the main reasons why only the selected fibers were moved to their own "maintenance" group. Similar for backup -- this code doesn't use RPC, so it can be moved. Restoring code uses load-and-stream and corresponding RPCs, so it cannot be just moved into its own new group. Fixes SCYLLADB-351 New feature, not backporting Closes scylladb/scylladb#28542 * github.com:scylladb/scylladb: code: Add maintenance/maintenance group backup: Add maintenance/backup group compaction: Add maintenance/maintenance_compaction group main: Introduce maintenance supergroup main: Move all maintenance sched group into streaming one database: Use local variable for current_scheduling_group code: Live-update IO throughputs from main
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.