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

← cluster insights objects accounts_sink explain
Overview Objects Graph History
sink · insights.accounts_sink 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
20 operators
Sink · insights.accounts_sink
0% idle 2 actors
Merge
— — 2 actors
Exchange
0% idle 0 actors
SyncLogStore · LeftOuter · accounts_dm.product_type_id = product_types_dm.product_type…
— — 2 actors
HashJoin · LeftOuter · accounts_dm.product_type_id = product_types_dm.product_type… 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
StreamScan · product_types_dm
0% idle 2 actors
BatchPlan
— — 2 actors
Merge
— — 2 actors
Merge
— — 2 actors
Exchange
0% idle 0 actors
LocalityProvider
0% idle 2 actors
Merge
— — 2 actors
Exchange
0% idle 0 actors
Project · accounts_dm
— — 2 actors
Filter · accounts_dm
0% idle 2 actors
StreamScan · accounts_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.
Sink · insights.accounts_sink Sink insights.accounts_sink idle · 2 actors Merge Merge — · 2 actors Exchange Exchange idle · 0 actors SyncLogStore · LeftOuter · accounts_dm.product_type_id = product_types_dm.product_type… SyncLogStore LeftOuter · accounts_dm… — · 2 actors HashJoin · LeftOuter · accounts_dm.product_type_id = product_types_dm.product_type… HashJoin LeftOuter · accounts_dm… idle · 2 actors Merge Merge — · 2 actors Exchange Exchange idle · 0 actors StreamScan · product_types_dm StreamScan product_types_dm idle · 2 actors BatchPlan BatchPlan — · 2 actors Merge Merge — · 2 actors Merge Merge — · 2 actors Exchange Exchange idle · 0 actors LocalityProvider LocalityProvider idle · 2 actors Merge Merge — · 2 actors Exchange Exchange idle · 0 actors Project · accounts_dm Project accounts_dm — · 2 actors Filter · accounts_dm Filter accounts_dm idle · 2 actors StreamScan · accounts_dm StreamScan accounts_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 51604 (Actor 736019,736018)
StreamSink { type: upsert, columns: [account_id, base_currency_code, is_restricted, product_type, accounts_dm.product_type_id(hidden), product_types_dm.product_type_id(hidden)], downstream_pk: [accounts_dm.account_id] }
├── output: [ accounts_dm.account_id, accounts_dm.base_currency_code, accounts_dm.is_restricted, product_types_dm.type, accounts_dm.product_type_id, product_types_dm.product_type_id ]
├── stream key: [ accounts_dm.product_type_id, accounts_dm.account_id ]
└── MergeExecutor
    ├── output: [ accounts_dm.account_id, accounts_dm.base_currency_code, accounts_dm.is_restricted, product_types_dm.type, accounts_dm.product_type_id, product_types_dm.product_type_id ]
    └── stream key: [ accounts_dm.product_type_id, accounts_dm.account_id ]

Fragment 51605 (Actor 736083,736084)
StreamSyncLogStore
├── output: [ accounts_dm.account_id, accounts_dm.base_currency_code, accounts_dm.is_restricted, product_types_dm.type, accounts_dm.product_type_id, product_types_dm.product_type_id ]
├── stream key: [ accounts_dm.product_type_id, accounts_dm.account_id ]
└── StreamHashJoin { type: LeftOuter, predicate: accounts_dm.product_type_id = product_types_dm.product_type_id }
    ├── output: [ accounts_dm.account_id, accounts_dm.base_currency_code, accounts_dm.is_restricted, product_types_dm.type, accounts_dm.product_type_id, product_types_dm.product_type_id ]
    ├── stream key: [ accounts_dm.product_type_id, accounts_dm.account_id ]
    ├── MergeExecutor { output: [ accounts_dm.account_id, accounts_dm.product_type_id, accounts_dm.base_currency_code, accounts_dm.is_restricted ], stream key: [ accounts_dm.product_type_id, accounts_dm.account_id ] }
    └── MergeExecutor { output: [ product_types_dm.product_type_id, product_types_dm.type ], stream key: [ product_types_dm.product_type_id ] }

Fragment 51606 (Actor 736086,736085)
StreamLocalityProvider { locality_columns: [accounts_dm.product_type_id] }
├── output: [ accounts_dm.account_id, accounts_dm.product_type_id, accounts_dm.base_currency_code, accounts_dm.is_restricted ]
├── stream key: [ accounts_dm.product_type_id, accounts_dm.account_id ]
└── MergeExecutor { output: [ accounts_dm.account_id, accounts_dm.product_type_id, accounts_dm.base_currency_code, accounts_dm.is_restricted ], stream key: [ accounts_dm.account_id ] }

Fragment 51607 (Actor 736088,736087)
StreamProject { exprs: [accounts_dm.account_id, accounts_dm.product_type_id, accounts_dm.base_currency_code, accounts_dm.is_restricted] }
├── output: [ accounts_dm.account_id, accounts_dm.product_type_id, accounts_dm.base_currency_code, accounts_dm.is_restricted ]
├── stream key: [ accounts_dm.account_id ]
└── StreamFilter { predicate: IsNull(accounts_dm.closing_date) AND IsNull(accounts_dm.disabled_at) }
    ├── output: [ accounts_dm.account_id, accounts_dm.product_type_id, accounts_dm.base_currency_code, accounts_dm.is_restricted, accounts_dm.closing_date, accounts_dm.disabled_at ]
    ├── stream key: [ accounts_dm.account_id ]
    └── StreamTableScan { table: accounts_dm, columns: [account_id, product_type_id, base_currency_code, is_restricted, closing_date, disabled_at] }
        ├── output: [ accounts_dm.account_id, accounts_dm.product_type_id, accounts_dm.base_currency_code, accounts_dm.is_restricted, accounts_dm.closing_date, accounts_dm.disabled_at ]
        ├── stream key: [ accounts_dm.account_id ]
        ├── Upstream { output: [ account_id, product_type_id, base_currency_code, is_restricted, closing_date, disabled_at ], stream key: [] }
        └── BatchPlanNode { output: [ account_id, product_type_id, base_currency_code, is_restricted, closing_date, disabled_at ], stream key: [] }

Fragment 51608 (Actor 736075,736076)
StreamTableScan { table: product_types_dm, columns: [product_type_id, type] } { output: [ product_types_dm.product_type_id, product_types_dm.type ], stream key: [ product_types_dm.product_type_id ] }
├── Upstream { output: [ product_type_id, type ], stream key: [] }
└── BatchPlanNode { output: [ product_type_id, type ], stream key: [] }