Struct GlobalBarrierWorkerContextImpl

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pub(super) struct GlobalBarrierWorkerContextImpl {
    scheduled_barriers: ScheduledBarriers,
    status: Arc<ArcSwap<BarrierManagerStatus>>,
    pub(super) metadata_manager: MetadataManager,
    hummock_manager: HummockManagerRef,
    source_manager: SourceManagerRef,
    scale_controller: ScaleControllerRef,
    pub(super) env: MetaSrvEnv,
    barrier_scheduler: BarrierScheduler,
}

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§scheduled_barriers: ScheduledBarriers§status: Arc<ArcSwap<BarrierManagerStatus>>§metadata_manager: MetadataManager§hummock_manager: HummockManagerRef§source_manager: SourceManagerRef§scale_controller: ScaleControllerRef§env: MetaSrvEnv§barrier_scheduler: BarrierScheduler

Barrier scheduler for scheduling load finish commands

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impl GlobalBarrierWorkerContextImpl

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fn set_status(&self, new_status: BarrierManagerStatus)

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impl GlobalBarrierWorkerContextImpl

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async fn clean_dirty_streaming_jobs( &self, database_id: Option<DatabaseId>, ) -> MetaResult<()>

Clean catalogs for creating streaming jobs that are in foreground mode or table fragments not persisted.

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async fn purge_state_table_from_hummock( &self, all_state_table_ids: &HashSet<TableId>, ) -> MetaResult<()>

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async fn list_background_job_progress( &self, ) -> MetaResult<Vec<(String, StreamJobFragments)>>

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async fn resolve_graph_info( &self, database_id: Option<DatabaseId>, ) -> MetaResult<HashMap<DatabaseId, HashMap<TableId, InflightStreamingJobInfo>>>

Resolve actor information from cluster, fragment manager and ChangedTableId. We use changed_table_id to modify the actors to be sent or collected. Because these actor will create or drop before this barrier flow through them.

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fn resolve_hummock_version_epochs( background_jobs: &HashMap<TableId, (String, StreamJobFragments)>, version: &HummockVersion, ) -> MetaResult<(HashMap<TableId, u64>, HashMap<TableId, Vec<(Vec<u64>, u64)>>)>

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async fn recovery_table_with_upstream_sinks( &self, inflight_jobs: &mut HashMap<DatabaseId, HashMap<TableId, InflightStreamingJobInfo>>, ) -> MetaResult<()>

For normal DDL operations, the UpstreamSinkUnion operator is modified dynamically, and does not persist the newly added or deleted upstreams in meta-store. Therefore, when restoring jobs, we need to restore the information required by the operator based on the current state of the upstream (sink) and downstream (table) of the operator.

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pub(super) async fn reload_runtime_info_impl( &self, ) -> MetaResult<BarrierWorkerRuntimeInfoSnapshot>

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pub(super) async fn reload_database_runtime_info_impl( &self, database_id: DatabaseId, ) -> MetaResult<Option<DatabaseRuntimeInfoSnapshot>>

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impl GlobalBarrierWorkerContextImpl

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const RECOVERY_FORCE_MIGRATION_TIMEOUT: Duration

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async fn migrate_actors( &self, active_nodes: &mut ActiveStreamingWorkerNodes, ) -> MetaResult<HashMap<DatabaseId, HashMap<TableId, InflightStreamingJobInfo>>>

Migrate actors in expired CNs to newly joined ones, return true if any actor is migrated.

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async fn scale_actors( &self, active_nodes: &ActiveStreamingWorkerNodes, ) -> MetaResult<()>

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fn derive_target_parallelism( available_parallelism: usize, assigned_parallelism: TableParallelism, actual_fragment_parallelism: Option<usize>, default_parallelism: DefaultParallelism, ) -> TableParallelism

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async fn load_all_actors(&self) -> MetaResult<HashMap<ActorId, StreamActor>>

Update all actors in compute nodes.

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impl GlobalBarrierWorkerContextImpl

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pub(super) fn new( scheduled_barriers: ScheduledBarriers, status: Arc<ArcSwap<BarrierManagerStatus>>, metadata_manager: MetadataManager, hummock_manager: HummockManagerRef, source_manager: SourceManagerRef, scale_controller: ScaleControllerRef, env: MetaSrvEnv, barrier_scheduler: BarrierScheduler, ) -> Self

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pub(super) fn status(&self) -> Arc<ArcSwap<BarrierManagerStatus>>

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impl GlobalBarrierWorkerContextImpl

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pub(super) async fn new_control_stream_impl( &self, node: &WorkerNode, init_request: &PbInitRequest, ) -> MetaResult<StreamingControlHandle>

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