This series is part of the effort to reduce the overall overhead originating from metrics reporting, both on the Scylla side and the metrics collecting server (Prometheus or similar) The idea in this series is to create an equivalent of levels with a label. First, label a subset of the metrics used by the dashboards. Second, the per-table metrics that are now off by default will be marked with a different label. The following specific optional features: CDC, CAS, and Alternator have a dedicated label now. This will allow users to disable all metrics of features that are not in use. All the rest of the metrics are left unlabeled. Without any changes, users would get the same metrics they are getting today. But you could pass the `__level=1` and get only those metrics the dashboard needs. That reduces between 50% and 70% (many metrics are hidden if not used, so the overall number of metrics varies). The labels are not reported based on the seastar feature of hiding labels that start with an underscore. Closes scylladb/scylladb#12246 * github.com:scylladb/scylladb: db/view/view.cc: label metrics with basic_level transport/server.cc: label metrics with basic_level service/storage_proxy.cc: label metrics with basic_level and cas main.cc: label metrics with basic_level streaming/stream_manager.cc: label metrics with basic_level repair/repair.cc: label metrics with basic_level service/storage_service.cc: label metrics with basic_level gms/gossiper.cc: label metrics with basic_level replica/database.cc: label metrics with basic_level cdc/log.cc: label metrics with basic_level and cdc alternator: label metrics with basic_level and alternator row_cache.cc: label metrics with basic_level query_processor.cc: label metrics with basic_level sstables.cc: label metrics with basic_level utils/logalloc.cc label metrics with basic_level commitlog.cc: label metrics with basic_level compaction_manager.cc: label metrics with basic_level Adding the __level and features labels
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.