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

← cluster insights objects clients_sink explain
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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_next
— — 2 actors
Filter · clients_dm_next
0% idle 2 actors
StreamScan · clients_dm_next
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_next Project clients_dm_next — · 2 actors Filter · clients_dm_next Filter clients_dm_next idle · 2 actors StreamScan · clients_dm_next StreamScan clients_dm_next 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 37132 (Actor 742634,742633)
StreamSink { type: upsert, columns: [id, type, segment_label_id], downstream_pk: [clients_dm_next.id] }
├── output: [ clients_dm_next.id, clients_dm_next.type, clients_dm_next.segment_label_id ]
├── stream key: [ clients_dm_next.id ]
└── StreamProject { exprs: [clients_dm_next.id, clients_dm_next.type, clients_dm_next.segment_label_id] }
    ├── output: [ clients_dm_next.id, clients_dm_next.type, clients_dm_next.segment_label_id ]
    ├── stream key: [ clients_dm_next.id ]
    └── StreamFilter { predicate: IsNull(clients_dm_next.closing_date) AND Not(IsTrue(clients_dm_next.m_is_stub)) }
        ├── output:
        │   ┌── clients_dm_next.id
        │   ├── clients_dm_next.type
        │   ├── clients_dm_next.segment_label_id
        │   ├── clients_dm_next.closing_date
        │   └── clients_dm_next.m_is_stub
        ├── stream key: [ clients_dm_next.id ]
        └── StreamTableScan { table: clients_dm_next, columns: [id, type, segment_label_id, closing_date, m_is_stub] }
            ├── output:
            │   ┌── clients_dm_next.id
            │   ├── clients_dm_next.type
            │   ├── clients_dm_next.segment_label_id
            │   ├── clients_dm_next.closing_date
            │   └── clients_dm_next.m_is_stub
            ├── stream key: [ clients_dm_next.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: [] }