Awesome
rust-rdkafka
A fully asynchronous, futures-enabled Apache Kafka client library for Rust based on librdkafka.
The library
rust-rdkafka
provides a safe Rust interface to librdkafka. This version
is compatible with librdkafka v1.9.2+.
Documentation
Features
The main features provided at the moment are:
- Support for all Kafka versions since 0.8.x. For more information about broker compatibility options, check the librdkafka documentation.
- Consume from single or multiple topics.
- Automatic consumer rebalancing.
- Customizable rebalance, with pre and post rebalance callbacks.
- Synchronous or asynchronous message production.
- Customizable offset commit.
- Create and delete topics and add and edit partitions.
- Alter broker and topic configurations.
- Access to cluster metadata (list of topic-partitions, replicas, active brokers etc).
- Access to group metadata (list groups, list members of groups, hostnames, etc.).
- Access to producer and consumer metrics, errors and callbacks.
- Exactly-once semantics (EOS) via idempotent and transactional producers and read-committed consumers.
One million messages per second
rust-rdkafka
is designed to be easy and safe to use thanks to the
abstraction layer written in Rust, while at the same time being extremely
fast thanks to the librdkafka C library.
Here are some benchmark results using the BaseProducer
,
sending data to a single Kafka 0.11 process running in localhost (default
configuration, 3 partitions). Hardware: Dell laptop, with Intel Core
i7-4712HQ @ 2.30GHz.
-
Scenario: produce 5 million messages, 10 bytes each, wait for all of them to be acked
- 1045413 messages/s, 9.970 MB/s (average over 5 runs)
-
Scenario: produce 100000 messages, 10 KB each, wait for all of them to be acked
- 24623 messages/s, 234.826 MB/s (average over 5 runs)
For more numbers, check out the kafka-benchmark project.
Client types
rust-rdkafka
provides low level and high level consumers and producers.
Low level:
BaseConsumer
: a simple wrapper around the librdkafka consumer. It must be periodicallypoll()
ed in order to execute callbacks, rebalances and to receive messages.BaseProducer
: a simple wrapper around the librdkafka producer. As in the consumer case, the user must callpoll()
periodically to execute delivery callbacks.ThreadedProducer
: aBaseProducer
with a separate thread dedicated to polling the producer.
High level:
StreamConsumer
: aStream
of messages that takes care of polling the consumer automatically.FutureProducer
: aFuture
that will be completed once the message is delivered to Kafka (or failed).
For more information about consumers and producers, refer to their module-level documentation.
Warning: the library is under active development and the APIs are likely to change.
Asynchronous data processing with Tokio
Tokio is a platform for fast processing of asynchronous events in Rust.
The interfaces exposed by the StreamConsumer
and the FutureProducer
allow rust-rdkafka users to easily integrate Kafka consumers and producers
within the Tokio platform, and write asynchronous message processing code.
Note that rust-rdkafka can be used without Tokio.
To see rust-rdkafka in action with Tokio, check out the asynchronous processing example in the examples folder.
At-least-once delivery
At-least-once delivery semantics are common in many streaming applications: every message is guaranteed to be processed at least once; in case of temporary failure, the message can be re-processed and/or re-delivered, but no message will be lost.
In order to implement at-least-once delivery the stream processing application has to carefully commit the offset only once the message has been processed. Committing the offset too early, instead, might cause message loss, since upon recovery the consumer will start from the next message, skipping the one where the failure occurred.
To see how to implement at-least-once delivery with rdkafka
, check out the
at-least-once delivery example in the examples folder. To know more about
delivery semantics, check the message delivery semantics chapter in the
Kafka documentation.
Exactly-once semantics
Exactly-once semantics (EOS) can be achieved using transactional producers,
which allow produced records and consumer offsets to be committed or aborted
atomically. Consumers that set their isolation.level
to read_committed
will only observe committed messages.
EOS is useful in read-process-write scenarios that require messages to be processed exactly once.
To learn more about using transactions in rust-rdkafka, see the Transactions section of the producer documentation.
Users
Here are some of the projects using rust-rdkafka:
- timely-dataflow: a distributed data-parallel compute engine. See also the blog post announcing its Kafka integration.
- kafka-view: a web interface for Kafka clusters.
- kafka-benchmark: a high performance benchmarking tool for Kafka.
- callysto: Stream processing framework in Rust.
- bytewax: Python stream processing framework using Timely Dataflow.
If you are using rust-rdkafka, please let us know!
Installation
Add this to your Cargo.toml
:
[dependencies]
rdkafka = { version = "0.25", features = ["cmake-build"] }
This crate will compile librdkafka from sources and link it statically to your executable. To compile librdkafka you'll need:
- the GNU toolchain
- GNU
make
pthreads
zlib
: optional, but included by default (feature:libz
)cmake
: optional, not included by default (feature:cmake-build
)libssl-dev
: optional, not included by default (feature:ssl
)libsasl2-dev
: optional, not included by default (feature:gssapi
)libzstd-dev
: optional, not included by default (feature:zstd-pkg-config
)
Note that using the CMake build system, via the cmake-build
feature, is
encouraged if you can take the dependency on CMake.
By default a submodule with the librdkafka sources pinned to a specific
commit will be used to compile and statically link the library. The
dynamic-linking
feature can be used to instead dynamically link rdkafka to
the system's version of librdkafka. Example:
[dependencies]
rdkafka = { version = "0.25", features = ["dynamic-linking"] }
For a full listing of features, consult the rdkafka-sys crate's documentation. All of rdkafka-sys features are re-exported as rdkafka features.
Minimum supported Rust version (MSRV)
The current minimum supported Rust version (MSRV) is 1.70.0. Note that bumping the MSRV is not considered a breaking change. Any release of rust-rdkafka may bump the MSRV.
Asynchronous runtimes
Some features of the StreamConsumer
and FutureProducer
depend on
Tokio, which can be a heavyweight dependency for users who only intend to
use the low-level consumers and producers. The Tokio integration is
enabled by default, but can be disabled by turning off default features:
[dependencies]
rdkafka = { version = "0.25", default-features = false }
If you would like to use an asynchronous runtime besides Tokio, you can
integrate it with rust-rdkafka by providing a shim that implements the
AsyncRuntime
trait. See the following examples for details:
Examples
You can find examples in the examples
folder. To run them:
cargo run --example <example_name> -- <example_args>
Debugging
rust-rdkafka uses the log
crate to handle logging.
Optionally, enable the tracing
feature to emit tracing
events as opposed to log
records.
In test and examples, rust-rdkafka uses the env_logger
crate
to format logs. In those contexts, logging can be enabled
using the RUST_LOG
environment variable, for example:
RUST_LOG="librdkafka=trace,rdkafka::client=debug" cargo test
This will configure the logging level of librdkafka to trace, and the level
of the client module of the Rust client to debug. To actually receive logs
from librdkafka, you also have to set the debug
option in the producer or
consumer configuration (see librdkafka
configuration).
To enable debugging in your project, make sure you initialize the logger
with env_logger::init()
, or the equivalent for any log
-compatible
logging framework.
rdkafka-sys
See rdkafka-sys.
Contributors
Thanks to:
- Thijs Cadier - thijsc
Alternatives
- kafka-rust: a pure Rust implementation of the Kafka client.