31e0315710
Fix cdc writing unnecesary entries to it's log, like for example when Alternator deletes an item which in reality doesn't exist.
Originally @wps0 tackled this issue. This patch is an extension of his work. His work involved adding `should_skip` function to cdc, which would process a `mutation` object and decide, wherever changes in the object should be added to cdc log or not.
The issue with his approach is that `mutation` object might contain changes for more than one row. If - for example - the `mutation` object contains two changes, delete of non-existing row and create of non-existing row, `should_skip` function will detect changes in second item and allow whole `mutation` (BOTH items) to be added. For example (using python's boto3) running this on empty table:
```
with table.batch_writer() as batch:
batch.put_item({'p': 'p', 'c': 'c0'})
batch.delete_item(Key={'p': 'p', 'c': 'c1'})
```
will emit two events ("put" event and "delete" event), even though the item with `c` set to `c1` does not exist (thus can't be deleted). Note, that both entries in batch write must use the same partition key, otherwise upper layer with split them into separate `mutation` objects and the issue will not happen.
The solution is to do similar processing, but consider each change separated from others. This is tricky to implement due to a way cdc works. When cdc processes `mutation` object (containing X changes), it emits cdc entries in phases. Phase 1 - emit `preimage` (old state) for each change (if requested). Phase 2 - for each change emit actual "diff" (update / delete and so on). Phase 3 - emit `postimage` (new state).
We will know if change needs to be skipped during phase 2. By that time phase 1 is completed and preimage for the change is emited. At that moment we set a flag that the change (identified by clustering key value) needs to be skipped - we add a clustering key to a `ignore-rows` set (`_alternator_clustering_keys_to_ignore` variable) and continue normally. Once all phases finish we add a `postprocess` phase (`clean_up_noop_rows` function). It will go through generated cdc mutations and skip all modifications, for which clustering key is in `ignore-rows` set. After skipping we need to do a "cleanup" operation - each generated cdc mutation contain index (incremented by one), if we skipped some parts, the index is not consecutive anymore, so we reindex final changes.
There's a special case worth mentioning - Alternator tables without clustering keys. At that point `mutation` object passed to cdc can contain exactly one change (since different partition keys are splitted by upper layers and Alternator will never emit `mutation` object containing two (or more) changes with the same primary key. Here, when we decide the change is to be skipped we add empty `bytes` object to `ignore-rows` set. When checking `ignore-rows` set, we check if it's empty or not (we don't check for presence of empty `bytes` object).
Note: there might be some confusion between this patch and #28452 patch. Both started from the same error observation and use similar tests for validation, as both are easily triggered by BatchWrite commands (both needs `mutation` object passed to cdc to contain more than one single change). This issue tho is about wrong data written in cdc log and is fixed at cdc, where #28452 is about wrong way of parsing correct cdc data and is fixed at Alternator side of things. Note, that we need #28452 to truly verify (otherwise we will emit correct cdc entries, but Alternator will incorrectly parse them).
Note: to benefit / notice this patch you need `alternator_streams_increased_compatibility` flag turned on.
Note: rework is quite "broad" and covers a lot of ground - every operation, that might result in a no-change to the database state should be tested. An additional test was added - trying to remove a column from non-existing item, as well as trying to remove non-existing column from existing item.
Fixes: #28368
Fixes: SCYLLADB-1528
Fixes: SCYLLADB-538
Closes scylladb/scylladb#28544
* github.com:scylladb/scylladb:
alternator: remove unnecesary code
alternator: fix Alternator writing unnecesary cdc entries
alternator: add failing tests for Streams
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.