Avi Kivity 8624718983 Merge "row_cache: update reader implementations to v2" from Botond
"
cache_flat_mutation_reader gets a native v2 implementation. The
underlying mutation representation is not changed: range deletions are
still stored as v1 range_tombstones in mutation_partition. These are
converted to range tombstone changes during reading.
This allows for separating the change of a native v2 reader
implementation and a native v2 in-memory storage format, enabling the
two to be done at separate times and incrementally.
This means there is still conversion ingoing when reading from cache and
when populating, but when reading from underlying, the stream can now be
passed through as-is without conversions.
Also, any future v2 related changes to the in-memory storage will now be
limited to the cache reader implementation itself.

In the process, the non-forwarding reader, whose only user is the cache,
is also converted to v2.
"

Performance results reported by Botond:

"
build/release/test/perf/perf_simple_query -c1 -m2G --flush --
duration=20

BEFORE
median 130421.76 tps ( 71.1 allocs/op,  12.1 tasks/op,   47462
insns/op)
median absolute deviation: 319.64
maximum: 131028.33
minimum: 127502.55

AFTER
median 133297.41 tps ( 64.1 allocs/op,  12.2 tasks/op,   45406
insns/op)
median absolute deviation: 2964.24
maximum: 137581.56
minimum: 123739.4

Getting rid of those upgrade/downgrade was good for allocs and ops.
Curiously there is a 0.1 rise in number of tasks though.
"

* 'row-cache-readers-v2/v1' of https://github.com/denesb/scylla:
  row_cache: update reader implementations to v2
  range_tombstone_change_generator: flush(): add end_of_range
  readers/nonforwardable: convert to v2
  read_context: fix indentation
  read_context: coroutinize move_to_next_partition()
  row_cache: cache_entry::read(): return v2 reader
  row_cache: return v2 readers from make_reader*()
  readers/delegating_v2: s/make_delegating_reader_v2/make_delegating_reader/
2022-04-23 19:10:43 +03:00
2022-04-03 13:45:07 +03:00
2022-03-30 20:49:35 +02:00
2022-04-17 17:11:31 +03:00
2022-04-03 13:45:07 +03:00
2022-04-03 13:45:07 +03:00
2022-02-21 12:27:55 +02:00
2022-02-04 17:15:52 +03:00
2022-02-17 08:53:48 +02:00

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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