d52fbf7ada
The test was flaky. The scenario looked like this:
1. Stop server 1.
2. Set its rf_rack_valid_keyspaces configuration option to true.
3. Create an RF-rack-invalid keyspace.
4. Start server 1 and expect a failure during start-up.
It was wrong. We cannot predict when the Raft mutation corresponding to
the newly created keyspace will arrive at the node or when it will be
processed. If the check of the RF-rack-valid keyspaces we perform at
start-up was done before that, it won't include the keyspace. This will
lead to a test failure.
Unfortunately, it's not feasible to perform a read barrier during
start-up. What's more, although it would help the test, it wouldn't be
useful otherwise. Because of that, we simply fix the test, at least for
now.
The new scenario looks like this:
1. Disable the rf_rack_valid_keyspaces configuration option on server 1.
2. Start the server.
3. Create an RF-rack-invalid keyspace.
4. Perform a read barrier on server 1. This will ensure that it has
observed all Raft mutations, and we won't run into the same problem.
5. Stop the node.
6. Set its rf_rack_valid_keyspaces configuration option to true.
7. Try to start the node and observe a failure.
This will make the test perform consistently.
---
I ran the test (in dev mode, on my local machine) three times before
these changes, and three times with them. I include the time results
below.
Before:
```
real 0m47.570s
user 0m41.631s
sys 0m8.634s
real 0m50.495s
user 0m42.499s
sys 0m8.607s
real 0m50.375s
user 0m41.832s
sys 0m8.789s
```
After:
```
real 0m50.509s
user 0m43.535s
sys 0m9.715s
real 0m50.857s
user 0m44.185s
sys 0m9.811s
real 0m50.873s
user 0m44.289s
sys 0m9.737s
```
Fixes SCYLLADB-1137
Backport: The test is present on all supported branches, and so we
should backport these changes to them.
Closes scylladb/scylladb#29218
* github.com:scylladb/scylladb:
test: cluster: Deflake test_startup_with_keyspaces_violating_rf_rack_valid_keyspaces
test: cluster: Mark test with @pytest.mark.asyncio in test_multidc.py
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.