dfd77a7a9c
The connection's cpu_concurrency_t struct tracks the state of a connection
to manage the admission of new requests and prevent CPU overload during
connection storms. When a connection holds units (allowed only 0 or 1), it is
considered to be in the "CPU state" and contributes to the concurrency limits
used when accepting new connections.
The bug stems from the fact that `counted_data_source_impl::get` and
`counted_data_sink_impl::put` calls can interleave during execution. This
occurs because of `should_parallelize` and `_ready_to_respond`, the latter being
a future chain that can run in the background while requests are being read.
Consequently, while reading request (N), the system may concurrently be
writing the response for request (N-1) on the same connection.
This interleaving allows `return_all()` to be called twice before the
subsequent `consume_units()` is invoked. While the second `return_all()` call
correctly returns 0 units, the matching `consume_units()` call would
mistakenly take an extra unit from the semaphore. Over time, a connection
blocked on a read operation could end up holding an unreturned semaphore
unit. If this pattern repeats across multiple connections, the semaphore
units are eventually depleted, preventing the server from accepting any
new connections.
The fix ensures that we always consume the exact number of units that were
previously returned. With this change, interleaved operations behave as
follows:
get() return_all — returns 1 unit
put() return_all — returns 0 units
get() consume_units — takes back 1 unit
put() consume_units — takes back 0 units
Logically, the networking phase ends when the first network operation
concludes. But more importantly, when a network operation
starts, we no longer hold any units.
Other solutions are possible but the chosen one seems to be the
simplest and safest to backport.
Fixes SCYLLADB-485
(cherry picked from commit 0376d16)
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.