mz_storage::source::kafka

Struct KafkaSourceReader

Source
pub struct KafkaSourceReader {
Show 16 fields topic_name: String, source_name: String, id: GlobalId, consumer: Arc<BaseConsumer<TunnelingClientContext<GlueConsumerContext>>>, partition_consumers: Vec<PartitionConsumer>, worker_id: usize, worker_count: usize, last_offsets: BTreeMap<usize, BTreeMap<PartitionId, i64>>, start_offsets: BTreeMap<PartitionId, i64>, stats_rx: Receiver<Jsonb>, progress_statistics: Arc<Mutex<PartialProgressStatistics>>, partition_info: Arc<Mutex<Option<(Timestamp, BTreeMap<PartitionId, WatermarkOffsets>)>>>, _metadata_thread_handle: UnparkOnDropHandle<()>, partition_metrics: KafkaSourceMetrics, health_status: Arc<Mutex<HealthStatus>>, partition_capabilities: BTreeMap<PartitionId, PartitionCapability>,
}
Expand description

Contains all information necessary to ingest data from Kafka

Fields§

§topic_name: String

Name of the topic on which this source is backed on

§source_name: String

Name of the source (will have format kafka-source-id)

§id: GlobalId

Source global ID

§consumer: Arc<BaseConsumer<TunnelingClientContext<GlueConsumerContext>>>

Kafka consumer for this source

§partition_consumers: Vec<PartitionConsumer>

List of consumers. A consumer should be assigned per partition to guarantee fairness

§worker_id: usize

Worker ID

§worker_count: usize

Total count of workers

§last_offsets: BTreeMap<usize, BTreeMap<PartitionId, i64>>

The most recently read offset for each partition known to this source reader by output-index. An offset of -1 indicates that no prior message has been read for the given partition.

§start_offsets: BTreeMap<PartitionId, i64>

The offset to start reading from for each partition.

§stats_rx: Receiver<Jsonb>

Channel to receive Kafka statistics JSON blobs from the stats callback.

§progress_statistics: Arc<Mutex<PartialProgressStatistics>>

Progress statistics as collected from the resume_uppers stream and the partition metadata thread.

§partition_info: Arc<Mutex<Option<(Timestamp, BTreeMap<PartitionId, WatermarkOffsets>)>>>

The last partition info we received. For each partition we also fetch the high watermark.

§_metadata_thread_handle: UnparkOnDropHandle<()>

A handle to the spawned metadata thread

§partition_metrics: KafkaSourceMetrics

A handle to the partition specific metrics

§health_status: Arc<Mutex<HealthStatus>>

The latest status detected by the metadata refresh thread.

§partition_capabilities: BTreeMap<PartitionId, PartitionCapability>

Per partition capabilities used to produce messages

Implementations§

Source§

impl KafkaSourceReader

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fn ensure_partition(&mut self, pid: PartitionId)

Ensures that a partition queue for pid exists.

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fn create_partition_queue( &mut self, partition_id: PartitionId, initial_offset: Offset, )

Creates a new partition queue for partition_id.

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fn update_stats(&mut self)

Read any statistics JSON blobs generated via the rdkafka statistics callback.

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fn handle_message( &mut self, message: Result<SourceMessage, KafkaHeaderParseError>, (partition, offset): (PartitionId, MzOffset), output_index: &usize, ) -> Option<(Result<SourceMessage, KafkaHeaderParseError>, KafkaTimestamp, Diff)>

Checks if the given message is viable for emission. This checks if the message offset is past the expected offset and returns None if it is not.

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