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

← cluster authz objects active_clients_to_teams_mv explain
Overview Objects Graph History
materialized view · authz.active_clients_to_teams_mv profiled over 5s
seconds (1–30)

Job is idle — throughput ~0; structure shown.

5 operators
Materialize · authz.active_clients_to_teams_mv
0% idle 2 actors
Filter · active_entity_to_teams_mv
0% idle 2 actors
StreamScan · active_entity_to_teams_mv
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.
Materialize · authz.active_clients_to_teams_mv Materialize authz.active_clients_to… idle · 2 actors Filter · active_entity_to_teams_mv Filter active_entity_to_teams_… idle · 2 actors StreamScan · active_entity_to_teams_mv StreamScan active_entity_to_teams_… 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 51934 (Actor 736952,736953)
StreamMaterialize { columns: [team_id, client_id, active_entity_to_teams_mv.entity_type(hidden), active_entity_to_teams_mv.entity_to_teams_dm.effective_start_date(hidden)], stream_key: [team_id, client_id, active_entity_to_teams_mv.entity_type, active_entity_to_teams_mv.entity_to_teams_dm.effective_start_date], pk_columns: [team_id, client_id, active_entity_to_teams_mv.entity_type, active_entity_to_teams_mv.entity_to_teams_dm.effective_start_date], pk_conflict: NoCheck }
├── output: [ active_entity_to_teams_mv.team_id, active_entity_to_teams_mv.entity_id, active_entity_to_teams_mv.entity_type, active_entity_to_teams_mv.entity_to_teams_dm.effective_start_date ]
├── stream key: [ active_entity_to_teams_mv.team_id, active_entity_to_teams_mv.entity_id, active_entity_to_teams_mv.entity_type, active_entity_to_teams_mv.entity_to_teams_dm.effective_start_date ]
└── StreamFilter { predicate: (active_entity_to_teams_mv.entity_type = 'CLIENT':Varchar) }
    ├── output: [ active_entity_to_teams_mv.team_id, active_entity_to_teams_mv.entity_id, active_entity_to_teams_mv.entity_type, active_entity_to_teams_mv.entity_to_teams_dm.effective_start_date ]
    ├── stream key: [ active_entity_to_teams_mv.team_id, active_entity_to_teams_mv.entity_id, active_entity_to_teams_mv.entity_type, active_entity_to_teams_mv.entity_to_teams_dm.effective_start_date ]
    └── StreamTableScan { table: active_entity_to_teams_mv, columns: [team_id, entity_id, entity_type, entity_to_teams_dm.effective_start_date] }
        ├── output: [ active_entity_to_teams_mv.team_id, active_entity_to_teams_mv.entity_id, active_entity_to_teams_mv.entity_type, active_entity_to_teams_mv.entity_to_teams_dm.effective_start_date ]
        ├── stream key: [ active_entity_to_teams_mv.team_id, active_entity_to_teams_mv.entity_id, active_entity_to_teams_mv.entity_type, active_entity_to_teams_mv.entity_to_teams_dm.effective_start_date ]
        ├── Upstream { output: [ team_id, entity_id, entity_type, entity_to_teams_dm.effective_start_date ], stream key: [] }
        └── BatchPlanNode { output: [ team_id, entity_id, entity_type, entity_to_teams_dm.effective_start_date ], stream key: [] }