0d1e7002c2
When we build a materialized view we read the entire base table from start to
end to generate all required view udpates. If a view is created while another view
is being built on the same base table, this is optimized - we start generating
view udpates for the new view from the base table rows that we're currently
reading, and we read the missed initial range again after the previous view
finishes building.
The view building progress is only updated after generating view updates for
some read partitions. However, there are scenarios where we'll generate no
view updates for the entire read range. If this was not handled we could
end up in an infinite view building loop like we did in https://github.com/scylladb/scylladb/issues/17293
To handle this, we mark the view as built if the reader generated no partitions.
However, this is not always the correct conclusion. Another scenario where
the reader won't encounter any partitions is when view building is interrupted,
and then we perform a reshard. In this scenario, we set the reader for all
shards to the last unbuilt token for an existing partition before the reshard.
However, this partition may not exist on a shard after reshard, and if there
are also no partitions with higher tokens, the reader will generate no partitions
even though it hasn't finished view building.
Additionally, we already have a check that prevents infinite view building loops
without taking the partitions generated by the reader into account. At the end
of stream, before looping back to the start, we advance current_key to the end
of the built range and check for built views in that range. This handles the case
where the entire range is empty - the conditions for a built view are:
1. the "next_token" is no greater than "first_token" (the view building process
looped back, so we've built all tokens above "first_token")
2. the "current_token" is no less than "first_token" (after looping back, we've
built all tokens below "first_token")
If the range is empty, we'll pass these conditions on an empty range after advancing
"current_key" to the end because:
1. after looping back, "next_token" will be set to `dht::minimum_token`
2. "current_key" will be set to `dht::ring_position::max()`
In this patch we remove the check for partitions generated by the reader. This fixes
the issue with resharding and it does not resurrect the issue with infinite view building
that the check was introduced for.
Fixes https://github.com/scylladb/scylladb/issues/26523
Closes scylladb/scylladb#26635
(cherry picked from commit 0a22ac3c9e)
Closes scylladb/scylladb#26887
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.