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

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

Job is idle — throughput ~0; structure shown.

6 operators
Materialize · authz.active_accounts_to_clients_mv
0% idle 2 actors
Project · accounts_to_clients_dm_next
— — 2 actors
Filter · accounts_to_clients_dm_next
0% idle 2 actors
StreamScan · accounts_to_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.
Materialize · authz.active_accounts_to_clients_mv Materialize authz.active_accounts_t… idle · 2 actors Project · accounts_to_clients_dm_next Project accounts_to_clients_dm_… — · 2 actors Filter · accounts_to_clients_dm_next Filter accounts_to_clients_dm_… idle · 2 actors StreamScan · accounts_to_clients_dm_next StreamScan accounts_to_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 37127 (Actor 742632,742631)
StreamMaterialize { columns: [client_id, account_id, accounts_to_clients_dm_next.effective_start_date(hidden)], stream_key: [account_id, client_id, accounts_to_clients_dm_next.effective_start_date], pk_columns: [account_id, client_id, accounts_to_clients_dm_next.effective_start_date], pk_conflict: NoCheck }
├── output: [ accounts_to_clients_dm_next.client_id, accounts_to_clients_dm_next.account_id, accounts_to_clients_dm_next.effective_start_date ]
├── stream key: [ accounts_to_clients_dm_next.account_id, accounts_to_clients_dm_next.client_id, accounts_to_clients_dm_next.effective_start_date ]
└── StreamProject { exprs: [accounts_to_clients_dm_next.client_id, accounts_to_clients_dm_next.account_id, accounts_to_clients_dm_next.effective_start_date] }
    ├── output: [ accounts_to_clients_dm_next.client_id, accounts_to_clients_dm_next.account_id, accounts_to_clients_dm_next.effective_start_date ]
    ├── stream key: [ accounts_to_clients_dm_next.account_id, accounts_to_clients_dm_next.client_id, accounts_to_clients_dm_next.effective_start_date ]
    └── StreamFilter { predicate: IsNull(accounts_to_clients_dm_next.disabled_at) AND IsNull(accounts_to_clients_dm_next.effective_end_date) }
        ├── output: [ accounts_to_clients_dm_next.account_id, accounts_to_clients_dm_next.client_id, accounts_to_clients_dm_next.effective_start_date, accounts_to_clients_dm_next.disabled_at, accounts_to_clients_dm_next.effective_end_date ]
        ├── stream key: [ accounts_to_clients_dm_next.account_id, accounts_to_clients_dm_next.client_id, accounts_to_clients_dm_next.effective_start_date ]
        └── StreamTableScan { table: accounts_to_clients_dm_next, columns: [account_id, client_id, effective_start_date, disabled_at, effective_end_date] }
            ├── output: [ accounts_to_clients_dm_next.account_id, accounts_to_clients_dm_next.client_id, accounts_to_clients_dm_next.effective_start_date, accounts_to_clients_dm_next.disabled_at, accounts_to_clients_dm_next.effective_end_date ]
            ├── stream key: [ accounts_to_clients_dm_next.account_id, accounts_to_clients_dm_next.client_id, accounts_to_clients_dm_next.effective_start_date ]
            ├── Upstream { output: [ account_id, client_id, effective_start_date, disabled_at, effective_end_date ], stream key: [] }
            └── BatchPlanNode { output: [ account_id, client_id, effective_start_date, disabled_at, effective_end_date ], stream key: [] }