1bdfa355ea
Now when the 3rd storage type (radix tree) is all in, old
storage can be safely removed. The result is:
1. memory footprint
sizeof(class row): 112 => 16 bytes
sizeof(rows_entry): 126 => 120 bytes
the "in cache" value depends on the number of cells:
num of cells master patch
1 752 656
2 808 712
3 864 768
4 920 824
5 968 936
6 1136 992
...
16 1840 1672
17 1904 1992 (+88)
18 1976 2048 (+72)
19 2048 2104 (+56)
20 2120 2160 (+40)
21 2184 2208 (+24)
22 2256 2264 ( +8)
23 2328 2320
...
32 2960 2808
After 32 cells the storage switches into rbtree with
24-bytes per-cell overhead and the radix tree improvement
rocketlaunches
64 7872 6056
128 15040 9512
256 29376 18568
2. perf_mutation test is enhanced by this series and the
results differ depending on the number of columns used
tps value
--column-count master patch
1 59.9k 57.6k (-3.8%)
2 59.9k 57.5k
4 59.8k 57.6k
8 57.6k 57.7k <- eq
16 56.3k 57.6k
32 53.2k 57.4k (+7.9%)
A note on this. Last time 1-column test was ~5% worse which
was explained by inline storage of 5 cells that's present on
current implementation and was absent in radix tree.
An attempt to make inline storage for small radix trees
resulted in complete loss of memory footprint gain, but gave
fraction of percent to perf_mutation performance. So this
version doesn't have inline nodes.
The 1.2% improvement from v2 surprisingly came from the
tree::clone_from() which in v2 was work-around-ed by slow
walk+emplace sequence while this version has the optimized
API call for cloning.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
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++20 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 APIs - CQL and Thrift. 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 users mailing list and Slack channel are for users to discuss configuration, management, and operations of the ScyllaDB open source.
- The developers mailing list is for developers and people interested in following the development of ScyllaDB to discuss technical topics.