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

← cluster insights objects private_asset_holdings_mv explain
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materialized view · insights.private_asset_holdings_mv profiled over 5s
seconds (1–30)

Job is idle — throughput ~0; structure shown.

Stateful hash join (4 state tables) — consider a temporal join for dimension lookups
28 operators
Materialize · insights.private_asset_holdings_mv
0% idle 2 actors
Merge
— — 2 actors
Exchange
0% idle 0 actors
HashJoin · Inner · private_holdings_dm.client_id = clients_portfolios_dm.clien… Stateful hash join (4 state tables) — consider a temporal join for dimension lookups
0% idle 2 actors
Merge
— — 2 actors
Exchange
0% idle 0 actors
Project · clients_portfolios_dm
— — 2 actors
Filter · clients_portfolios_dm
0% idle 2 actors
StreamScan · clients_portfolios_dm
0% idle 2 actors
BatchPlan
— — 2 actors
Merge
— — 2 actors
Merge
— — 2 actors
Exchange
0% idle 0 actors
HashJoin · Inner · private_holdings_dm.asset_id = private_assets_dm.id Stateful hash join (4 state tables) — consider a temporal join for dimension lookups
0% idle 2 actors
Merge
— — 2 actors
Exchange
0% idle 0 actors
Project · private_assets_dm
— — 2 actors
Filter · private_assets_dm
0% idle 2 actors
StreamScan · private_assets_dm
0% idle 2 actors
BatchPlan
— — 2 actors
Merge
— — 2 actors
Merge
— — 2 actors
Exchange
0% idle 0 actors
Project · private_holdings_dm
— — 2 actors
Filter · private_holdings_dm
0% idle 2 actors
StreamScan · private_holdings_dm
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.private_asset_holdings_mv Materialize insights.private_asset_… idle · 2 actors Merge Merge — · 2 actors Exchange Exchange idle · 0 actors HashJoin · Inner · private_holdings_dm.client_id = clients_portfolios_dm.clien… HashJoin Inner · private_holding… idle · 2 actors Merge Merge — · 2 actors Exchange Exchange idle · 0 actors Project · clients_portfolios_dm Project clients_portfolios_dm — · 2 actors Filter · clients_portfolios_dm Filter clients_portfolios_dm idle · 2 actors StreamScan · clients_portfolios_dm StreamScan clients_portfolios_dm idle · 2 actors BatchPlan BatchPlan — · 2 actors Merge Merge — · 2 actors Merge Merge — · 2 actors Exchange Exchange idle · 0 actors HashJoin · Inner · private_holdings_dm.asset_id = private_assets_dm.id HashJoin Inner · private_holding… idle · 2 actors Merge Merge — · 2 actors Exchange Exchange idle · 0 actors Project · private_assets_dm Project private_assets_dm — · 2 actors Filter · private_assets_dm Filter private_assets_dm idle · 2 actors StreamScan · private_assets_dm StreamScan private_assets_dm idle · 2 actors BatchPlan BatchPlan — · 2 actors Merge Merge — · 2 actors Merge Merge — · 2 actors Exchange Exchange idle · 0 actors Project · private_holdings_dm Project private_holdings_dm — · 2 actors Filter · private_holdings_dm Filter private_holdings_dm idle · 2 actors StreamScan · private_holdings_dm StreamScan private_holdings_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 5368 (Actor 97073,97072)
StreamMaterialize { columns: [portfolio_id, asset_id, name, local_name, category, ownership_percentage, private_holdings_dm.id(hidden), private_holdings_dm.client_id(hidden), clients_portfolios_dm.client_id(hidden), clients_portfolios_dm.effective_start_date(hidden)], stream_key: [private_holdings_dm.id, asset_id, portfolio_id, clients_portfolios_dm.effective_start_date, private_holdings_dm.client_id], pk_columns: [private_holdings_dm.id, asset_id, portfolio_id, clients_portfolios_dm.effective_start_date, private_holdings_dm.client_id], pk_conflict: NoCheck }
├── output: [ clients_portfolios_dm.portfolio_id, private_holdings_dm.asset_id, private_assets_dm.name, private_assets_dm.local_name, private_assets_dm.category, private_holdings_dm.ownership_percentage, private_holdings_dm.id, private_holdings_dm.client_id, clients_portfolios_dm.client_id, clients_portfolios_dm.effective_start_date ]
├── stream key: [ private_holdings_dm.id, private_holdings_dm.asset_id, clients_portfolios_dm.portfolio_id, clients_portfolios_dm.effective_start_date, private_holdings_dm.client_id ]
└── MergeExecutor { output: [ clients_portfolios_dm.portfolio_id, private_holdings_dm.asset_id, private_assets_dm.name, private_assets_dm.local_name, private_assets_dm.category, private_holdings_dm.ownership_percentage, private_holdings_dm.id, private_holdings_dm.client_id, clients_portfolios_dm.client_id, clients_portfolios_dm.effective_start_date ], stream key: [ private_holdings_dm.id, private_holdings_dm.asset_id, clients_portfolios_dm.portfolio_id, clients_portfolios_dm.effective_start_date, private_holdings_dm.client_id ] }

Fragment 5369 (Actor 97078,97079)
StreamHashJoin { type: Inner, predicate: private_holdings_dm.client_id = clients_portfolios_dm.client_id }
├── output: [ clients_portfolios_dm.portfolio_id, private_holdings_dm.asset_id, private_assets_dm.name, private_assets_dm.local_name, private_assets_dm.category, private_holdings_dm.ownership_percentage, private_holdings_dm.id, private_holdings_dm.client_id, clients_portfolios_dm.client_id, clients_portfolios_dm.effective_start_date ]
├── stream key: [ private_holdings_dm.id, private_holdings_dm.asset_id, clients_portfolios_dm.portfolio_id, clients_portfolios_dm.effective_start_date, private_holdings_dm.client_id ]
├── MergeExecutor { output: [ private_holdings_dm.client_id, private_holdings_dm.asset_id, private_holdings_dm.ownership_percentage, private_assets_dm.category, private_assets_dm.name, private_assets_dm.local_name, private_holdings_dm.id, private_assets_dm.id ], stream key: [ private_holdings_dm.id, private_holdings_dm.asset_id ] }
└── MergeExecutor { output: [ clients_portfolios_dm.client_id, clients_portfolios_dm.portfolio_id, clients_portfolios_dm.effective_start_date ], stream key: [ clients_portfolios_dm.client_id, clients_portfolios_dm.portfolio_id, clients_portfolios_dm.effective_start_date ] }

Fragment 5370 (Actor 97080,97081)
StreamHashJoin { type: Inner, predicate: private_holdings_dm.asset_id = private_assets_dm.id } { output: [ private_holdings_dm.client_id, private_holdings_dm.asset_id, private_holdings_dm.ownership_percentage, private_assets_dm.category, private_assets_dm.name, private_assets_dm.local_name, private_holdings_dm.id, private_assets_dm.id ], stream key: [ private_holdings_dm.id, private_holdings_dm.asset_id ] }
├── MergeExecutor { output: [ private_holdings_dm.client_id, private_holdings_dm.asset_id, private_holdings_dm.ownership_percentage, private_holdings_dm.id ], stream key: [ private_holdings_dm.id ] }
└── MergeExecutor { output: [ private_assets_dm.id, private_assets_dm.category, private_assets_dm.name, private_assets_dm.local_name ], stream key: [ private_assets_dm.id ] }

Fragment 5371 (Actor 96824,96823)
StreamProject { exprs: [private_holdings_dm.client_id, private_holdings_dm.asset_id, private_holdings_dm.ownership_percentage, private_holdings_dm.id] } { output: [ private_holdings_dm.client_id, private_holdings_dm.asset_id, private_holdings_dm.ownership_percentage, private_holdings_dm.id ], stream key: [ private_holdings_dm.id ] }
└── StreamFilter { predicate: IsNull(private_holdings_dm.disabled_at) } { output: [ private_holdings_dm.client_id, private_holdings_dm.asset_id, private_holdings_dm.ownership_percentage, private_holdings_dm.id, private_holdings_dm.disabled_at ], stream key: [ private_holdings_dm.id ] }
    └── StreamTableScan { table: private_holdings_dm, columns: [client_id, asset_id, ownership_percentage, id, disabled_at] } { output: [ private_holdings_dm.client_id, private_holdings_dm.asset_id, private_holdings_dm.ownership_percentage, private_holdings_dm.id, private_holdings_dm.disabled_at ], stream key: [ private_holdings_dm.id ] }
        ├── Upstream { output: [ client_id, asset_id, ownership_percentage, id, disabled_at ], stream key: [] }
        └── BatchPlanNode { output: [ client_id, asset_id, ownership_percentage, id, disabled_at ], stream key: [] }

Fragment 5372 (Actor 97099,97098)
StreamProject { exprs: [private_assets_dm.id, private_assets_dm.category, private_assets_dm.name, private_assets_dm.local_name] } { output: [ private_assets_dm.id, private_assets_dm.category, private_assets_dm.name, private_assets_dm.local_name ], stream key: [ private_assets_dm.id ] }
└── StreamFilter { predicate: IsNull(private_assets_dm.disabled_at) } { output: [ private_assets_dm.id, private_assets_dm.category, private_assets_dm.name, private_assets_dm.local_name, private_assets_dm.disabled_at ], stream key: [ private_assets_dm.id ] }
    └── StreamTableScan { table: private_assets_dm, columns: [id, category, name, local_name, disabled_at] } { output: [ private_assets_dm.id, private_assets_dm.category, private_assets_dm.name, private_assets_dm.local_name, private_assets_dm.disabled_at ], stream key: [ private_assets_dm.id ] }
        ├── Upstream { output: [ id, category, name, local_name, disabled_at ], stream key: [] }
        └── BatchPlanNode { output: [ id, category, name, local_name, disabled_at ], stream key: [] }

Fragment 5373 (Actor 97100,97101)
StreamProject { exprs: [clients_portfolios_dm.client_id, clients_portfolios_dm.portfolio_id, clients_portfolios_dm.effective_start_date] } { output: [ clients_portfolios_dm.client_id, clients_portfolios_dm.portfolio_id, clients_portfolios_dm.effective_start_date ], stream key: [ clients_portfolios_dm.client_id, clients_portfolios_dm.portfolio_id, clients_portfolios_dm.effective_start_date ] }
└── StreamFilter { predicate: (clients_portfolios_dm.owner_type = 'PRIMARY':Varchar) AND IsNull(clients_portfolios_dm.disabled_at) } { output: [ clients_portfolios_dm.client_id, clients_portfolios_dm.portfolio_id, clients_portfolios_dm.effective_start_date, clients_portfolios_dm.owner_type, clients_portfolios_dm.disabled_at ], stream key: [ clients_portfolios_dm.client_id, clients_portfolios_dm.portfolio_id, clients_portfolios_dm.effective_start_date ] }
    └── StreamTableScan { table: clients_portfolios_dm, columns: [client_id, portfolio_id, effective_start_date, owner_type, disabled_at] } { output: [ clients_portfolios_dm.client_id, clients_portfolios_dm.portfolio_id, clients_portfolios_dm.effective_start_date, clients_portfolios_dm.owner_type, clients_portfolios_dm.disabled_at ], stream key: [ clients_portfolios_dm.client_id, clients_portfolios_dm.portfolio_id, clients_portfolios_dm.effective_start_date ] }
        ├── Upstream { output: [ client_id, portfolio_id, effective_start_date, owner_type, disabled_at ], stream key: [] }
        └── BatchPlanNode { output: [ client_id, portfolio_id, effective_start_date, owner_type, disabled_at ], stream key: [] }