Wojciech Mitros 4fc4f4e9f9 test: propagate view update backlog before partition delete
In the test_delete_partition_rows_from_table_with_mv case we perform
a deletion of a large partition to verify that the deletion will
self-throttle when generating many view updates.
Before the deletion, we first build the materialized view, which causes
the view update backlog to grow. The backlog should be back to empty
when the view building finishes, and we do wait for that to happen, but
the information about the backlog drop may not be propagated to the
delete coordinator in time - the gossip interval is 1s and we perform
no other writes between the nodes in the meantime, so we don't make use
of the "piggyback" mechanism of propagating view backlog either. If the
coordinator thinks that the backlog is high on the replica, it may reject
the delete, failing this test.
We change this in this patch - after the view is built, we perform an
extra write from the coordinator. When the write finishes, the coordinator
will have the up-to-date view backlog and can proceed with the DELETE.
Additionally, we enable the "update_backlog_immediately" injection, which
makes the node backlog (the highest backlog across shards) update immediately
after each change.

Fixes: SCYLLADB-1877

Closes scylladb/scylladb#29775

(cherry picked from commit ab12083525)

Closes scylladb/scylladb#29793
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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++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:

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

Build with the latest Seastar Check Reproducible Build clang-nightly

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.
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