6 releases (3 breaking)
0.5.1 | Sep 2, 2024 |
---|---|
0.5.0 | Apr 24, 2024 |
0.3.0 | Jul 11, 2023 |
0.2.1 | May 7, 2023 |
0.1.0 | Mar 2, 2023 |
#449 in Concurrency
2,173 downloads per month
Used in 8 crates
(via sea-streamer)
225KB
5K
SLoC
sea-streamer-socket
: Backend-agnostic Socket API
Akin to how SeaORM allows you to build applications for different databases, SeaStreamer allows you to build stream processors for different streaming servers.
While the sea-streamer-types
crate provides a nice trait-based abstraction, this crates provides a concrete-type API,
so that your program can stream from/to any SeaStreamer backend selected by the user on runtime.
This allows you to do neat things, like generating data locally and then stream them to Redis / Kafka. Or in the other way, sink data from server to work on them locally. All without recompiling the stream processor.
If you only ever work with one backend, feel free to depend on sea-streamer-redis
/ sea-streamer-kafka
directly.
A small number of cli programs are provided for demonstration. Let's set them up first:
# The `clock` program generate messages in the form of `{ "tick": N }`
alias clock='cargo run --package sea-streamer-stdio --features=executables --bin clock'
# The `relay` program redirect messages from `input` to `output`
alias relay='cargo run --package sea-streamer-socket --features=executables,backend-kafka,backend-redis --bin relay'
Here is how to stream from Stdio ➡️ Redis / Kafka. We generate messages using clock
and then pipe it to relay
,
which then streams to Redis / Kafka:
# Stdio -> Redis
clock -- --stream clock --interval 1s | \
relay -- --input stdio:///clock --output redis://localhost:6379/clock
# Stdio -> Kafka
clock -- --stream clock --interval 1s | \
relay -- --input stdio:///clock --output kafka://localhost:9092/clock
Here is how to stream between Redis ↔️ Kafka:
# Redis -> Kafka
relay -- --input redis://localhost:6379/clock --output kafka://localhost:9092/clock
# Kafka -> Redis
relay -- --input kafka://localhost:9092/clock --output redis://localhost:6379/clock
Here is how to replay the stream from Kafka / Redis:
relay -- --input redis://localhost:6379/clock --output stdio:///clock --offset start
relay -- --input kafka://localhost:9092/clock --output stdio:///clock --offset start
Dependencies
~4–19MB
~251K SLoC