After8014c7124, cleanup can potentially pick a compacting SSTable. Upgrade and scrub can also pick a compacting SSTable. The problem is that table::candidates_for_compaction() was badly named. It misleads the user into thinking that the SSTables returned are perfect candidates for compaction, but manager still need to filter out the compacting SSTables from the returned set. So it's being renamed. When the same SSTable is compacted in parallel, the strategy invariant can be broken like overlapping being introduced in LCS, and also some deletion failures as more than one compaction process would try to delete the same files. Let's fix scrub, cleanup and ugprade by calling the manager function which gets the correct candidates for compaction. Fixes #6938. Signed-off-by: Raphael S. Carvalho <raphaelsc@scylladb.com> Message-Id: <20200811200135.25421-1-raphaelsc@scylladb.com> (cherry picked from commit11df96718a)
Scylla
Quick-start
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 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 and running Scylla with the frozen toolchain 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
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 a CentOS-based Docker image
Build a Docker image with:
cd dist/docker/redhat
docker build -t <image-name> .
This build is based on executables downloaded from downloads.scylladb.com, not on the executables built in this source directory. See further instructions in dist/docker/redhat/README.md to build a docker image from your own executables.
Run the image with:
docker run -p $(hostname -i):9042:9042 -i -t <image name>