Tomasz Grabiec abe3d7d7d3 Merge 'storage_proxy: use small_vector for vectors of inet_address' from Avi Kivity
storage_proxy uses std::vector<inet_address> for small lists of nodes - for replication (often 2-3 replicas per operation) and for pending operations (usually 0-1). These vectors require an allocation, sometimes more than one if reserve() is not used correctly.

This series switches storage_proxy to use utils::small_vector instead, removing the allocations in the common case.

Test results (perf_simple_query --smp 1 --task-quota-ms 10):

```
before: median 184810.98 tps ( 91.1 allocs/op,  20.1 tasks/op,   54564 insns/op)
after:  median 192125.99 tps ( 87.1 allocs/op,  20.1 tasks/op,   53673 insns/op)
```

4 allocations and ~900 instructions are removed (the tps figure is also improved, but it is less reliable due to cpu frequency changes).

The type change is unfortunately not contained in storage_proxy - the abstraction leaks to providers of replica sets and topology change vectors. This is sad but IMO the benefits make it worthwhile.

I expect more such changes can be applied in storage_proxy, specifically std::unordered_set<gms::inet_address> and vectors of response handles.

Closes #8592

* github.com:scylladb/scylla:
  storage_proxy, treewide: use utils::small_vector inet_address_vector:s
  storage_proxy, treewide: introduce names for vectors of inet_address
  utils: small_vector: add print operator for std::ostream
  hints: messages.hh: add missing #include
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Scylla

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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:

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.
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