Botond Dénes 5d6a7272e7 sstables: clamp estimated_partitions to [1, +inf) in writers
In some cases estimated number of partitions can be 0, which is albeit a
legit estimation result, breaks many low-level sstable writer code, so
some of these have assertions to ensure estimated partitions is > 0.
To avoid hitting this assert all users of the sstable writers do the
clamping, to ensure estimated partitions is at least 1. However leaving
this to the callers is error prone as #6913 has shown it. As this
clamping is standard practice, it is better to do it in the writers
themselves, avoiding this problem altogether. This is exactly what this
patch does. It also adds two unit tests, one that reproduces the crash
in #6913, and another one that ensures all sstable writers are fine with
estimated partitions being 0 now. Call sites previously doing the
clamping are changed to not do it, it is unnecessary now as the writer
does it itself.

Fixes #6913

Tests: unit(dev)
Signed-off-by: Botond Dénes <bdenes@scylladb.com>
Message-Id: <20200724120227.267184-1-bdenes@scylladb.com>
[avi: adjust sstable_datafile_test's use of compaction_descriptor and make_permit]
(cherry picked from commit fe127a2155)
2020-07-28 09:55:34 +03:00
2019-08-05 14:55:53 +02:00
2020-07-13 20:17:54 +03:00
2019-08-05 14:55:53 +02:00
2020-02-07 08:59:39 +01:00
2019-12-19 15:43:04 +02:00
2020-01-30 11:10:08 +01:00
2019-02-20 08:03:46 -08:00
2020-03-03 11:34:00 +01:00
2020-01-30 14:10:18 +02:00
2020-04-06 15:07:28 +03:00
2020-02-17 10:59:15 +01:00
2020-01-29 14:05:01 -08:00
2020-03-03 11:34:00 +01:00
2020-02-17 10:59:06 +01:00
2020-03-03 11:34:00 +01:00
2020-03-03 11:34:00 +01:00
2020-03-03 11:34:00 +01:00
2020-07-14 23:56:02 +03:00
2020-03-03 11:34:00 +01:00
2020-03-03 11:34:00 +01:00
2019-08-05 14:55:53 +02:00

Scylla

Quick-start

To get the build going quickly, Scylla offers a frozen toolchain which would build and run Scylla using a pre-configured Docker image. Using the frozen toolchain will also isolate all of the installed dependencies in a Docker container. Assuming you have met the toolchain prerequisites, which is running Docker in user mode, building and running is as easy as:

$ ./tools/toolchain/dbuild ./configure.py
$ ./tools/toolchain/dbuild ninja build/release/scylla
$ ./tools/toolchain/dbuild ./build/release/scylla --developer-mode 1

Please see HACKING.md for detailed information on building and developing Scylla.

Note: GCC >= 8.1.1 is required to compile Scylla.

Running Scylla

  • Run Scylla
./build/release/scylla

  • run Scylla with one CPU and ./tmp as work directory
./build/release/scylla --workdir tmp --smp 1
  • For more run options:
./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 experimental support for the API of Amazon DynamoDB, but being experimental it needs to be explicitly enabled to be used. For more information on how to enable the experimental DynamoDB compatibility in Scylla, and the current limitations of this feature, see Alternator and Getting started with Alternator.

Documentation

Documentation can be found in ./docs and on the wiki. There is currently no clear definition of what goes where, so when looking for something be sure to check both. 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.

Building Fedora-based Docker image

Build a Docker image with:

cd dist/docker
docker build -t <image-name> .

Run the image with:

docker run -p $(hostname -i):9042:9042 -i -t <image name>

Contributing to Scylla

Hacking howto Guidelines for contributing

Description
No description provided
Readme 271 MiB
Languages
C++ 72.7%
Python 26.1%
CMake 0.3%
GAP 0.3%
Shell 0.3%