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

← cluster insights objects intraday_asset_prices_5min_mv explain
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materialized view · insights.intraday_asset_prices_5min_mv profiled over 5s
seconds (1–30)

Job is idle — throughput ~0; structure shown.

Aggregation state — unbounded unless keyed or temporally filtered
9 operators
Materialize · insights.intraday_asset_prices_5min_mv
0% idle 2 actors
Project
— — 2 actors
HashAgg Aggregation state — unbounded unless keyed or temporally filtered
0% idle 2 actors
Merge
— — 2 actors
Exchange
0% idle 0 actors
Project · intraday_asset_prices_ft
— — 2 actors
StreamScan · intraday_asset_prices_ft
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.intraday_asset_prices_5min_mv Materialize insights.intraday_asset… idle · 2 actors Project Project — · 2 actors HashAgg HashAgg idle · 2 actors Merge Merge — · 2 actors Exchange Exchange idle · 0 actors Project · intraday_asset_prices_ft Project intraday_asset_prices_ft — · 2 actors StreamScan · intraday_asset_prices_ft StreamScan intraday_asset_prices_ft 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 2483 (Actor 99283,99282)
StreamMaterialize { columns: [window_start, asset_id, last_price, value_timestamp], stream_key: [window_start, asset_id], pk_columns: [window_start, asset_id], pk_conflict: NoCheck, watermark_columns: [window_start] }
├── output: [ $expr1, intraday_asset_prices_ft.asset_id, $expr2, max(intraday_asset_prices_ft.value_timestamp) ]
├── stream key: [ $expr1, intraday_asset_prices_ft.asset_id ]
└── StreamProject { exprs: [$expr1, intraday_asset_prices_ft.asset_id, ArrayAccess(array_agg(intraday_asset_prices_ft.last order_by(intraday_asset_prices_ft.value_timestamp DESC, intraday_asset_prices_ft.as_of_timestamp DESC)), 1:Int32) as $expr2, max(intraday_asset_prices_ft.value_timestamp)], output_watermarks: [[$expr1]] }
    ├── output: [ $expr1, intraday_asset_prices_ft.asset_id, $expr2, max(intraday_asset_prices_ft.value_timestamp) ]
    ├── stream key: [ $expr1, intraday_asset_prices_ft.asset_id ]
    └── StreamHashAgg [eowc] { group_key: [$expr1, intraday_asset_prices_ft.asset_id], aggs: [array_agg(intraday_asset_prices_ft.last order_by(intraday_asset_prices_ft.value_timestamp DESC, intraday_asset_prices_ft.as_of_timestamp DESC)), max(intraday_asset_prices_ft.value_timestamp), count], output_watermarks: [[$expr1]] }
        ├── output: [ $expr1, intraday_asset_prices_ft.asset_id, array_agg(intraday_asset_prices_ft.last order_by(intraday_asset_prices_ft.value_timestamp DESC, intraday_asset_prices_ft.as_of_timestamp DESC)), max(intraday_asset_prices_ft.value_timestamp), count ]
        ├── stream key: [ $expr1, intraday_asset_prices_ft.asset_id ]
        └── MergeExecutor
            ├── output: [ $expr1, intraday_asset_prices_ft.asset_id, intraday_asset_prices_ft.last, intraday_asset_prices_ft.value_timestamp, intraday_asset_prices_ft.as_of_timestamp ]
            └── stream key: [ intraday_asset_prices_ft.asset_id, intraday_asset_prices_ft.as_of_timestamp, intraday_asset_prices_ft.value_timestamp ]

Fragment 2484 (Actor 99296,99297)
StreamProject { exprs: [TumbleStart(intraday_asset_prices_ft.value_timestamp, '00:05:00':Interval) as $expr1, intraday_asset_prices_ft.asset_id, intraday_asset_prices_ft.last, intraday_asset_prices_ft.value_timestamp, intraday_asset_prices_ft.as_of_timestamp], output_watermarks: [[$expr1, intraday_asset_prices_ft.value_timestamp]] }
├── output: [ $expr1, intraday_asset_prices_ft.asset_id, intraday_asset_prices_ft.last, intraday_asset_prices_ft.value_timestamp, intraday_asset_prices_ft.as_of_timestamp ]
├── stream key: [ intraday_asset_prices_ft.asset_id, intraday_asset_prices_ft.as_of_timestamp, intraday_asset_prices_ft.value_timestamp ]
└── StreamTableScan { table: intraday_asset_prices_ft, columns: [asset_id, as_of_timestamp, last, value_timestamp] }
    ├── output: [ intraday_asset_prices_ft.asset_id, intraday_asset_prices_ft.as_of_timestamp, intraday_asset_prices_ft.last, intraday_asset_prices_ft.value_timestamp ]
    ├── stream key: [ intraday_asset_prices_ft.asset_id, intraday_asset_prices_ft.as_of_timestamp, intraday_asset_prices_ft.value_timestamp ]
    ├── Upstream { output: [ asset_id, as_of_timestamp, last, value_timestamp ], stream key: [] }
    └── BatchPlanNode { output: [ asset_id, as_of_timestamp, last, value_timestamp ], stream key: [] }