pub struct KafkaStreamSource<T>{ /* private fields */ }Expand description
Kafka stream source that integrates with StreamExecutor
This component polls messages from Kafka and feeds them into the stream processing pipeline. It handles:
- Message deserialization
- Event time extraction
- Watermark generation
- Offset tracking
Implementations§
Source§impl<T> KafkaStreamSource<T>
impl<T> KafkaStreamSource<T>
Sourcepub fn new(
consumer: Arc<StreamConsumer>,
topics: Vec<String>,
executor: Arc<StreamExecutor<T>>,
offset_manager: Arc<OffsetManager>,
stats: Arc<RwLock<KafkaStreamStats>>,
poll_timeout: Duration,
) -> Self
pub fn new( consumer: Arc<StreamConsumer>, topics: Vec<String>, executor: Arc<StreamExecutor<T>>, offset_manager: Arc<OffsetManager>, stats: Arc<RwLock<KafkaStreamStats>>, poll_timeout: Duration, ) -> Self
Create a new Kafka stream source
Sourcepub async fn run(&self) -> Result<()>where
T: EventTimeExtractor<T> + KeyExtractor<T>,
pub async fn run(&self) -> Result<()>where
T: EventTimeExtractor<T> + KeyExtractor<T>,
Start consuming messages and feeding them to the executor
Sourcepub fn is_running(&self) -> bool
pub fn is_running(&self) -> bool
Check if running
Sourcepub async fn stats(&self) -> KafkaStreamStats
pub async fn stats(&self) -> KafkaStreamStats
Get statistics
Trait Implementations§
Auto Trait Implementations§
impl<T> !RefUnwindSafe for KafkaStreamSource<T>
impl<T> !UnwindSafe for KafkaStreamSource<T>
impl<T> Freeze for KafkaStreamSource<T>
impl<T> Send for KafkaStreamSource<T>
impl<T> Sync for KafkaStreamSource<T>
impl<T> Unpin for KafkaStreamSource<T>
impl<T> UnsafeUnpin for KafkaStreamSource<T>
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