Avi Kivity 2d7b6cd702 messaging: do isolate default tenants
In 10dd08c9 ("messaging_service: supply and interpret rpc isolation_cookies",
4.2), we added a mechanism to perform rpc calls in remote scheduling groups
based on the connection identity (rather than the verb), so that
connection processing itself can run in the correct group (not just
verb processing), and so that one verb can run in different groups according
to need.

In 16d8cdadc ("messaging_service: introduce the tenant concept", 4.2), we
changed the way isolation cookies are sent:

 scheduling_group
 messaging_service::scheduling_group_for_verb(messaging_verb verb) const {
     return _scheduling_info_for_connection_index[get_rpc_client_idx(verb)].sched_group;
@@ -665,11 +694,14 @@ shared_ptr<messaging_service::rpc_protocol_client_wrapper> messaging_service::ge
     if (must_compress) {
         opts.compressor_factory = &compressor_factory;
     }
     opts.tcp_nodelay = must_tcp_nodelay;
     opts.reuseaddr = true;
-    opts.isolation_cookie = _scheduling_info_for_connection_index[idx].isolation_cookie;
+    // We send cookies only for non-default statement tenant clients.
+    if (idx > 3) {
+        opts.isolation_cookie = _scheduling_info_for_connection_index[idx].isolation_cookie;
+    }

This effectively disables the mechanism for the default tenant. As a
result some verbs will be executed in whatever group the messaging
service listener was started in. This used to be the main group,
but in 554ab03 ("main: Run init_server and join_cluster inside
maintenance scheduling group", 4.5), this was change to the maintenance
group. As a result normal read/writes now compete with maintenance
operations, raising their latency significantly.

Fix by sending the isolation cookie for all connections. With this,
a 2-node cassandra-stress load has 99th percentile increase by just
3ms during repair, compared to 10ms+ before.

Fixes #9505.

Closes #10673

(cherry picked from commit c83393e819)
2022-06-01 17:20:30 +03:00
2021-10-22 13:34:56 +01:00
2021-10-28 16:22:18 +03:00
2021-10-13 15:08:24 +03:00
2021-09-13 11:01:33 +02:00
2022-01-21 17:38:05 +02:00

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++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:

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.
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