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

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

Job is idle — throughput ~0; structure shown.

Aggregation state — unbounded unless keyed or temporally filtered
11 operators
Materialize · authz.team_to_clients_mv
0% idle 2 actors
Project
2 actors
HashAgg Aggregation state — unbounded unless keyed or temporally filtered
0% idle 2 actors
LocalityProvider
0% idle 2 actors
Merge
2 actors
Exchange
0% idle 0 actors
Project · entity_to_teams_dm_next
2 actors
Filter · entity_to_teams_dm_next
0% idle 2 actors
StreamScan · entity_to_teams_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.
Materialize · authz.team_to_clients_mv Materialize authz.team_to_clients_mv idle · 2 actors Project Project — · 2 actors HashAgg HashAgg idle · 2 actors LocalityProvider LocalityProvider idle · 2 actors Merge Merge — · 2 actors Exchange Exchange idle · 0 actors Project · entity_to_teams_dm_next Project entity_to_teams_dm_next — · 2 actors Filter · entity_to_teams_dm_next Filter entity_to_teams_dm_next idle · 2 actors StreamScan · entity_to_teams_dm_next StreamScan entity_to_teams_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 37128 (Actor 742663,742662)
StreamMaterialize { columns: [team_id, client_id, updated_at], stream_key: [team_id, client_id], pk_columns: [team_id, client_id], pk_conflict: NoCheck }
├── output: [ entity_to_teams_dm_next.team_id, entity_to_teams_dm_next.entity_id, max(entity_to_teams_dm_next.updated_at) ]
├── stream key: [ entity_to_teams_dm_next.team_id, entity_to_teams_dm_next.entity_id ]
└── StreamProject { exprs: [entity_to_teams_dm_next.team_id, entity_to_teams_dm_next.entity_id, max(entity_to_teams_dm_next.updated_at)] }
    ├── output: [ entity_to_teams_dm_next.team_id, entity_to_teams_dm_next.entity_id, max(entity_to_teams_dm_next.updated_at) ]
    ├── stream key: [ entity_to_teams_dm_next.team_id, entity_to_teams_dm_next.entity_id ]
    └── StreamHashAgg { group_key: [entity_to_teams_dm_next.team_id, entity_to_teams_dm_next.entity_id], aggs: [max(entity_to_teams_dm_next.updated_at), count] }
        ├── output: [ entity_to_teams_dm_next.team_id, entity_to_teams_dm_next.entity_id, max(entity_to_teams_dm_next.updated_at), count ]
        ├── stream key: [ entity_to_teams_dm_next.team_id, entity_to_teams_dm_next.entity_id ]
        └── StreamLocalityProvider { locality_columns: [entity_to_teams_dm_next.team_id, entity_to_teams_dm_next.entity_id] }
            ├── output:
            │   ┌── entity_to_teams_dm_next.team_id
            │   ├── entity_to_teams_dm_next.entity_id
            │   ├── entity_to_teams_dm_next.updated_at
            │   ├── entity_to_teams_dm_next.entity_type
            │   └── entity_to_teams_dm_next.effective_start_date
            ├── stream key:
            │   ┌── entity_to_teams_dm_next.team_id
            │   ├── entity_to_teams_dm_next.entity_id
            │   ├── entity_to_teams_dm_next.entity_type
            │   └── entity_to_teams_dm_next.effective_start_date
            └── MergeExecutor
                ├── output:
                │   ┌── entity_to_teams_dm_next.team_id
                │   ├── entity_to_teams_dm_next.entity_id
                │   ├── entity_to_teams_dm_next.updated_at
                │   ├── entity_to_teams_dm_next.entity_type
                │   └── entity_to_teams_dm_next.effective_start_date
                └── stream key:
                    ┌── entity_to_teams_dm_next.team_id
                    ├── entity_to_teams_dm_next.entity_id
                    ├── entity_to_teams_dm_next.entity_type
                    └── entity_to_teams_dm_next.effective_start_date

Fragment 37129 (Actor 742665,742664)
StreamProject { exprs: [entity_to_teams_dm_next.team_id, entity_to_teams_dm_next.entity_id, entity_to_teams_dm_next.updated_at, entity_to_teams_dm_next.entity_type, entity_to_teams_dm_next.effective_start_date] }
├── output: [ entity_to_teams_dm_next.team_id, entity_to_teams_dm_next.entity_id, entity_to_teams_dm_next.updated_at, entity_to_teams_dm_next.entity_type, entity_to_teams_dm_next.effective_start_date ]
├── stream key: [ entity_to_teams_dm_next.team_id, entity_to_teams_dm_next.entity_id, entity_to_teams_dm_next.entity_type, entity_to_teams_dm_next.effective_start_date ]
└── StreamFilter { predicate: (entity_to_teams_dm_next.entity_type = 'CLIENT':Varchar) AND IsNull(entity_to_teams_dm_next.disabled_at) AND IsNull(entity_to_teams_dm_next.effective_end_date) }
    ├── output:
    │   ┌── entity_to_teams_dm_next.team_id
    │   ├── entity_to_teams_dm_next.entity_id
    │   ├── entity_to_teams_dm_next.updated_at
    │   ├── entity_to_teams_dm_next.entity_type
    │   ├── entity_to_teams_dm_next.effective_start_date
    │   ├── entity_to_teams_dm_next.effective_end_date
    │   └── entity_to_teams_dm_next.disabled_at
    ├── stream key: [ entity_to_teams_dm_next.team_id, entity_to_teams_dm_next.entity_id, entity_to_teams_dm_next.entity_type, entity_to_teams_dm_next.effective_start_date ]
    └── StreamTableScan { table: entity_to_teams_dm_next, columns: [team_id, entity_id, updated_at, entity_type, effective_start_date, effective_end_date, disabled_at] }
        ├── output:
        │   ┌── entity_to_teams_dm_next.team_id
        │   ├── entity_to_teams_dm_next.entity_id
        │   ├── entity_to_teams_dm_next.updated_at
        │   ├── entity_to_teams_dm_next.entity_type
        │   ├── entity_to_teams_dm_next.effective_start_date
        │   ├── entity_to_teams_dm_next.effective_end_date
        │   └── entity_to_teams_dm_next.disabled_at
        ├── stream key: [ entity_to_teams_dm_next.team_id, entity_to_teams_dm_next.entity_id, entity_to_teams_dm_next.entity_type, entity_to_teams_dm_next.effective_start_date ]
        ├── Upstream { output: [ team_id, entity_id, updated_at, entity_type, effective_start_date, effective_end_date, disabled_at ], stream key: [] }
        └── BatchPlanNode { output: [ team_id, entity_id, updated_at, entity_type, effective_start_date, effective_end_date, disabled_at ], stream key: [] }