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

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

Job is idle — throughput ~0; structure shown.

Aggregation state — unbounded unless keyed or temporally filtered
6 operators
Materialize · insights.user_to_account_groups_mv
0% idle 2 actors
Project · user_account_membership_mv_next
2 actors
HashAgg · user_account_membership_mv_next Aggregation state — unbounded unless keyed or temporally filtered
0% idle 2 actors
StreamScan · user_account_membership_mv_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 · insights.user_to_account_groups_mv Materialize insights.user_to_accoun… idle · 2 actors Project · user_account_membership_mv_next Project user_account_membership… — · 2 actors HashAgg · user_account_membership_mv_next HashAgg user_account_membership… idle · 2 actors StreamScan · user_account_membership_mv_next StreamScan user_account_membership… 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 16210 (Actor 97761,97760)
StreamMaterialize { columns: [user_id, account_group_id, type], stream_key: [user_id, type], pk_columns: [user_id, type], pk_conflict: NoCheck }
├── output: [ user_account_membership_mv_next.user_id, $expr1, user_account_membership_mv_next.type ]
├── stream key: [ user_account_membership_mv_next.user_id, user_account_membership_mv_next.type ]
└── StreamProject { exprs: [user_account_membership_mv_next.user_id, ConcatOp('account_group_':Varchar, Md5(ConcatOp(user_account_membership_mv_next.user_id, user_account_membership_mv_next.type)::Bytea)) as $expr1, user_account_membership_mv_next.type] }
    ├── output: [ user_account_membership_mv_next.user_id, $expr1, user_account_membership_mv_next.type ]
    ├── stream key: [ user_account_membership_mv_next.user_id, user_account_membership_mv_next.type ]
    └── StreamHashAgg { group_key: [user_account_membership_mv_next.user_id, user_account_membership_mv_next.type], aggs: [count] }
        ├── output: [ user_account_membership_mv_next.user_id, user_account_membership_mv_next.type, count ]
        ├── stream key: [ user_account_membership_mv_next.user_id, user_account_membership_mv_next.type ]
        └── StreamTableScan { table: user_account_membership_mv_next, columns: [user_id, type, account_id] }
            ├── output: [ user_account_membership_mv_next.user_id, user_account_membership_mv_next.type, user_account_membership_mv_next.account_id ]
            ├── stream key: [ user_account_membership_mv_next.user_id, user_account_membership_mv_next.account_id ]
            ├── Upstream { output: [ user_id, type, account_id ], stream key: [] }
            └── BatchPlanNode { output: [ user_id, type, account_id ], stream key: [] }