0dd6f2db8f
The "most important" major changes are:
1. storage_service: simplify CDC generation management during node replace
Previously, when node A replaced node B, it would obtain B's
generation timestamp from its application state (gossiped by other
nodes) and start gossiping it immediately on bootstrap.
But that's not necessary:
- if this is the timestamp of the last (current) generation, we would
obtain it from other nodes anyway (every node gossips the last known
timestamp),
- if this is the timestamp of an earlier generation, we would forget
it immediately and start gossiping the last timestamp (obtained from
other nodes).
This commit simplifies the bootstrap code (in node-replace case) a bit:
the replacing node no longer attempts to retrieve the CDC generation
timestamp from the node being replaced.
2. tree-wide: introduce cdc::generation_id type
Each CDC generation has a timestamp which denotes a logical point in time
when this generation starts operating. That same timestamp is
used to identify the CDC generation. We use this identification scheme
to exchange CDC generations around the cluster.
However, the fact that a generation's timestamp is used as an ID for
this generation is an implementation detail of the currently used method
of managing CDC generations.
Places in the code that deal with the timestamp, e.g. functions which
take it as an argument (such as handle_cdc_generation) are often
interested in the ID aspect, not the "when does the generation start
operating" aspect. They don't care that the ID is a `db_clock::time_point`.
They may sometimes want to retrieve the time point given the ID (such as
do_handle_cdc_generation when it calls `cdc::metadata::insert`),
but they don't care about the fact that the time point actually IS the ID.
In the future we may actually change the specific type of the ID if we
modify the generation management algorithms.
This commit is an intermediate step that will ease the transition in the
future. It introduces a new type, `cdc::generation_id`. Inside it contains
the timestamp, so:
- if a piece of code doesn't care about the timestamp, it just passes
the ID around
- if it does care, it can access it using the `get_ts` function.
The fact that `get_ts` simply accesses the ID's only field is an
implementation detail.
3. cdc: handle missing generation case in check_and_repair_cdc_streams
check_and_repair_cdc_streams assumed that there is always at least
one generation being gossiped by at least one of the nodes. Otherwise it
would enter undefined behavior.
I'm not aware of any "real" scenario where this assumption wouldn't be
satisfied at the moment where check_and_repair_cdc_streams makes it
except perhaps some theoretical races. But it's best to stay on the safe
side.
---
Additionally the PR does some simplifications, stylistic improvements,
removes some dead code, coroutinizes some functions, uncoroutinizes others
(due to miscompiles), adds additional logging, updates some stale comments.
Read commit messages for more details.
Closes #8283
* github.com:scylladb/scylla:
cdc: log a message when creating a new CDC generation
cdc: handle missing generation case in check_and_repair_cdc_streams
tree-wide: introduce cdc::generation_id type
tree-wide: rename "cdc streams timestamp" to "cdc generation id"
cdc: remove some functions from generation.hh
storage_service: make set_gossip_tokens a static free-function
db: system_keyspace: group cdc functions in single place
cdc: get rid of "get_local_streams_timestamp"
sys_dist_ks: update comment at quorum_if_many
storage_service: simplify CDC generation management during node replace
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++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 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 APIs - CQL and Thrift. 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 users mailing list and Slack channel are for users to discuss configuration, management, and operations of the ScyllaDB open source.
- The developers mailing list is for developers and people interested in following the development of ScyllaDB to discuss technical topics.