RWM Console cluster: risingwave-alinma.alinma-rw.svc.cluster.local

← cluster insights objects clients_sink explain
Overview Objects Graph History
sink · insights.clients_sink profiled over 5s
seconds (1–30)

Job is idle — throughput ~0; structure shown.

6 operators
Sink · insights.clients_sink
0% idle 2 actors
Project · clients_dm
2 actors
Filter · clients_dm
0% idle 2 actors
StreamScan · clients_dm
0% idle 2 actors
BatchPlan
2 actors
Merge
2 actors
Heat = the operator's output-buffer backpressure over the sampling window. Click a node to fold its subtree.
Sink · insights.clients_sink Sink insights.clients_sink idle · 2 actors Project · clients_dm Project clients_dm — · 2 actors Filter · clients_dm Filter clients_dm idle · 2 actors StreamScan · clients_dm StreamScan clients_dm idle · 2 actors BatchPlan BatchPlan — · 2 actors Merge Merge — · 2 actors
Streaming operator plan from EXPLAIN ANALYZE. Node heat = backpressure. Drag to pan, scroll to zoom.
Fragments (DESCRIBE FRAGMENTS) — click to expand
Fragment 51566 (Actor 735972,735971)
StreamSink { type: upsert, columns: [id, type, segment_label_id], downstream_pk: [clients_dm.id] }
├── output: [ clients_dm.id, clients_dm.type, clients_dm.segment_label_id ]
├── stream key: [ clients_dm.id ]
└── StreamProject { exprs: [clients_dm.id, clients_dm.type, clients_dm.segment_label_id] }
    ├── output: [ clients_dm.id, clients_dm.type, clients_dm.segment_label_id ]
    ├── stream key: [ clients_dm.id ]
    └── StreamFilter { predicate: IsNull(clients_dm.closing_date) AND Not(IsTrue(clients_dm.m_is_stub)) }
        ├── output:
        │   ┌── clients_dm.id
        │   ├── clients_dm.type
        │   ├── clients_dm.segment_label_id
        │   ├── clients_dm.closing_date
        │   └── clients_dm.m_is_stub
        ├── stream key: [ clients_dm.id ]
        └── StreamTableScan { table: clients_dm, columns: [id, type, segment_label_id, closing_date, m_is_stub] }
            ├── output:
            │   ┌── clients_dm.id
            │   ├── clients_dm.type
            │   ├── clients_dm.segment_label_id
            │   ├── clients_dm.closing_date
            │   └── clients_dm.m_is_stub
            ├── stream key: [ clients_dm.id ]
            ├── Upstream { output: [ id, type, segment_label_id, closing_date, m_is_stub ], stream key: [] }
            └── BatchPlanNode { output: [ id, type, segment_label_id, closing_date, m_is_stub ], stream key: [] }