957bf48eb2
This PR gets rid of exception throws/rethrows on the replica side for writes and single-partition reads. This goal is achieved without using `boost::outcome` but rather by replacing the parts of the code which throw with appropriate seastar idioms and by introducing two helper functions:
1.`try_catch` allows to inspect the type and value behind an `std::exception_ptr`. When libstdc++ is used, this function does not need to throw the exception and avoids the very costly unwind process. This based on the "How to catch an exception_ptr without even try-ing" proposal mentioned in https://github.com/scylladb/scylla/issues/10260.
This function allows to replace the current `try..catch` chains which inspect the exception type and account it in the metrics.
Example:
```c++
// Before
try {
std::rethrow_exception(eptr);
} catch (std::runtime_exception& ex) {
// 1
} catch (...) {
// 2
}
// After
if (auto* ex = try_catch<std::runtime_exception>(eptr)) {
// 1
} else {
// 2
}
```
2. `make_nested_exception_ptr` which is meant to be a replacement for `std::throw_with_nested`. Unlike the original function, it does not require an exception being currently thrown and does not throw itself - instead, it takes the nested exception as an `std::exception_ptr` and produces another `std::exception_ptr` itself.
Apart from the above, seastar idioms such as `make_exception_future`, `co_await as_future`, `co_return coroutine::exception()` are used to propagate exceptions without throwing. This brings the number of exception throws to zero for single partition reads and writes (tested with scylla-bench, --mode=read and --mode=write).
Results from `perf_simple_query`:
```
Before (719724e4df):
Writes:
Normal:
127841.40 tps ( 56.2 allocs/op, 13.2 tasks/op, 50042 insns/op, 0 errors)
Timeouts:
94770.81 tps ( 53.1 allocs/op, 5.1 tasks/op, 78678 insns/op, 1000000 errors)
Reads:
Normal:
138902.31 tps ( 65.1 allocs/op, 12.1 tasks/op, 43106 insns/op, 0 errors)
Timeouts:
62447.01 tps ( 49.7 allocs/op, 12.1 tasks/op, 135984 insns/op, 936846 errors)
After (d8ac4c02bfb7786dc9ed30d2db3b99df09bf448f):
Writes:
Normal:
127359.12 tps ( 56.2 allocs/op, 13.2 tasks/op, 49782 insns/op, 0 errors)
Timeouts:
163068.38 tps ( 52.1 allocs/op, 5.1 tasks/op, 40615 insns/op, 1000000 errors)
Reads:
Normal:
151221.15 tps ( 65.1 allocs/op, 12.1 tasks/op, 43028 insns/op, 0 errors)
Timeouts:
192094.11 tps ( 41.2 allocs/op, 12.1 tasks/op, 33403 insns/op, 960604 errors)
```
Closes #10368
* github.com:scylladb/scylla:
database: avoid rethrows when handling exceptions from commitlog
database: convert throw_commitlog_add_error to use make_nested_exception_ptr
utils: add make_nested_exception_ptr
storage_proxy: don't rethrow when inspecting replica exceptions on write path
database: don't rethrow rate_limit_exception
storage_proxy: don't rethrow the exception in abstract_read_resolver::error
utils/exceptions.cc: don't rethrow in is_timeout_exception
utils/exceptions: add try_catch
utils: add abi/eh_ia64.hh
storage_proxy: don't rethrow exceptions from replicas when accounting read stats
message: get rid of throws in send_message{,_timeout,_abortable}
database/{query,query_mutations}: don't rethrow read semaphore exceptions
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.