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materialized view · insights.benchmark_values_by_distribution_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 lookupsAggregation state — unbounded unless keyed or temporally filtered
27 operators
Materialize · insights.benchmark_values_by_distribution_mv
0% idle 2 actors
Project · Inner · benchmark_constituents_ft.benchmark_id = benchmarks_dm.id
— — 2 actors
HashAgg · Inner · benchmark_constituents_ft.benchmark_id = benchmarks_dm.id Aggregation state — unbounded unless keyed or temporally filtered
0% idle 2 actors
Project · Inner · benchmark_constituents_ft.benchmark_id = benchmarks_dm.id
— — 2 actors
HashJoin · Inner · benchmark_constituents_ft.benchmark_id = benchmarks_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 · benchmarks_dm
— — 2 actors
Filter · benchmarks_dm
0% idle 2 actors
StreamScan · benchmarks_dm
0% idle 2 actors
BatchPlan
— — 2 actors
Merge
— — 2 actors
Merge
— — 2 actors
Exchange
0% idle 0 actors
Project · Inner · (benchmark_constituents_ft.date >= asset_distributions_for_…
— — 2 actors
Filter · Inner · (benchmark_constituents_ft.date >= asset_distributions_for_…
0% idle 2 actors
HashJoin · Inner · (benchmark_constituents_ft.date >= asset_distributions_for_… 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 · asset_distributions_for_consumers_mv
0% idle 2 actors
BatchPlan
— — 2 actors
Merge
— — 2 actors
Merge
— — 2 actors
Exchange
0% idle 0 actors
StreamScan · benchmark_constituents_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.benchmark_values_by_distribution_mv Materialize insights.benchmark_valu… idle · 2 actors Project · Inner · benchmark_constituents_ft.benchmark_id = benchmarks_dm.id Project Inner · benchmark_const… — · 2 actors HashAgg · Inner · benchmark_constituents_ft.benchmark_id = benchmarks_dm.id HashAgg Inner · benchmark_const… idle · 2 actors Project · Inner · benchmark_constituents_ft.benchmark_id = benchmarks_dm.id Project Inner · benchmark_const… — · 2 actors HashJoin · Inner · benchmark_constituents_ft.benchmark_id = benchmarks_dm.id HashJoin Inner · benchmark_const… idle · 2 actors Merge Merge — · 2 actors Exchange Exchange idle · 0 actors Project · benchmarks_dm Project benchmarks_dm — · 2 actors Filter · benchmarks_dm Filter benchmarks_dm idle · 2 actors StreamScan · benchmarks_dm StreamScan benchmarks_dm idle · 2 actors BatchPlan BatchPlan — · 2 actors Merge Merge — · 2 actors Merge Merge — · 2 actors Exchange Exchange idle · 0 actors Project · Inner · (benchmark_constituents_ft.date >= asset_distributions_for_… Project Inner · (benchmark_cons… — · 2 actors Filter · Inner · (benchmark_constituents_ft.date >= asset_distributions_for_… Filter Inner · (benchmark_cons… idle · 2 actors HashJoin · Inner · (benchmark_constituents_ft.date >= asset_distributions_for_… HashJoin Inner · (benchmark_cons… idle · 2 actors Merge Merge — · 2 actors Exchange Exchange idle · 0 actors StreamScan · asset_distributions_for_consumers_mv StreamScan asset_distributions_for… idle · 2 actors BatchPlan BatchPlan — · 2 actors Merge Merge — · 2 actors Merge Merge — · 2 actors Exchange Exchange idle · 0 actors StreamScan · benchmark_constituents_ft StreamScan benchmark_constituents_… 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 11116 (Actor 32934,32935)
StreamMaterialize { columns: [benchmark_id, fact_date, distribution_type, taxonomy_node_id, taxonomy_code, weight], stream_key: [benchmark_id, fact_date, distribution_type, taxonomy_node_id, taxonomy_code], pk_columns: [benchmark_id, fact_date, distribution_type, taxonomy_node_id, taxonomy_code], pk_conflict: NoCheck }
├── output: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, asset_distributions_for_consumers_mv.distribution_type, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.taxonomy_code, sum($expr1) ]
├── stream key: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, asset_distributions_for_consumers_mv.distribution_type, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.taxonomy_code ]
└── StreamProject { exprs: [benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, asset_distributions_for_consumers_mv.distribution_type, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.taxonomy_code, sum($expr1)] }
    ├── output: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, asset_distributions_for_consumers_mv.distribution_type, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.taxonomy_code, sum($expr1) ]
    ├── stream key: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, asset_distributions_for_consumers_mv.distribution_type, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.taxonomy_code ]
    └── StreamHashAgg { group_key: [benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, asset_distributions_for_consumers_mv.distribution_type, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.taxonomy_code], aggs: [sum($expr1), count] }
        ├── output: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, asset_distributions_for_consumers_mv.distribution_type, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.taxonomy_code, sum($expr1), count ]
        ├── stream key: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, asset_distributions_for_consumers_mv.distribution_type, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.taxonomy_code ]
        └── StreamProject { exprs: [benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, asset_distributions_for_consumers_mv.distribution_type, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.taxonomy_code, (benchmark_constituents_ft.weight * asset_distributions_for_consumers_mv.share) as $expr1, benchmark_constituents_ft.asset_id, asset_distributions_for_consumers_mv.asset_distributions_dm.dimension, asset_distributions_for_consumers_mv.effective_start_date, asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id] }
            ├── output: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, asset_distributions_for_consumers_mv.distribution_type, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.taxonomy_code, $expr1, benchmark_constituents_ft.asset_id, asset_distributions_for_consumers_mv.asset_distributions_dm.dimension, asset_distributions_for_consumers_mv.effective_start_date, asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id ]
            ├── stream key: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, benchmark_constituents_ft.asset_id, asset_distributions_for_consumers_mv.asset_distributions_dm.dimension, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.effective_start_date, asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id ]
            └── StreamHashJoin { type: Inner, predicate: benchmark_constituents_ft.benchmark_id = benchmarks_dm.id }
                ├── output: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, benchmark_constituents_ft.weight, asset_distributions_for_consumers_mv.distribution_type, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.taxonomy_code, asset_distributions_for_consumers_mv.share, benchmark_constituents_ft.asset_id, asset_distributions_for_consumers_mv.asset_distributions_dm.dimension, asset_distributions_for_consumers_mv.effective_start_date, asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id, benchmarks_dm.id ]
                ├── stream key: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, benchmark_constituents_ft.asset_id, asset_distributions_for_consumers_mv.asset_distributions_dm.dimension, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.effective_start_date, asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id ]
                ├── MergeExecutor
                │   ├── output:
                │   │   ┌── benchmark_constituents_ft.benchmark_id
                │   │   ├── benchmark_constituents_ft.date
                │   │   ├── benchmark_constituents_ft.weight
                │   │   ├── asset_distributions_for_consumers_mv.distribution_type
                │   │   ├── asset_distributions_for_consumers_mv.taxonomy_node_id
                │   │   ├── asset_distributions_for_consumers_mv.taxonomy_code
                │   │   ├── asset_distributions_for_consumers_mv.share
                │   │   ├── benchmark_constituents_ft.asset_id
                │   │   ├── asset_distributions_for_consumers_mv.asset_id
                │   │   ├── asset_distributions_for_consumers_mv.asset_distributions_dm.dimension
                │   │   ├── asset_distributions_for_consumers_mv.effective_start_date
                │   │   └── asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id
                │   └── stream key: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, benchmark_constituents_ft.asset_id, asset_distributions_for_consumers_mv.asset_distributions_dm.dimension, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.effective_start_date, asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id ]
                └── MergeExecutor { output: [ benchmarks_dm.id ], stream key: [ benchmarks_dm.id ] }

Fragment 11117 (Actor 33058,33057)
StreamProject { exprs: [benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, benchmark_constituents_ft.weight, asset_distributions_for_consumers_mv.distribution_type, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.taxonomy_code, asset_distributions_for_consumers_mv.share, benchmark_constituents_ft.asset_id, asset_distributions_for_consumers_mv.asset_id, asset_distributions_for_consumers_mv.asset_distributions_dm.dimension, asset_distributions_for_consumers_mv.effective_start_date, asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id] }
├── output: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, benchmark_constituents_ft.weight, asset_distributions_for_consumers_mv.distribution_type, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.taxonomy_code, asset_distributions_for_consumers_mv.share, benchmark_constituents_ft.asset_id, asset_distributions_for_consumers_mv.asset_id, asset_distributions_for_consumers_mv.asset_distributions_dm.dimension, asset_distributions_for_consumers_mv.effective_start_date, asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id ]
├── stream key: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, benchmark_constituents_ft.asset_id, asset_distributions_for_consumers_mv.asset_distributions_dm.dimension, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.effective_start_date, asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id ]
└── StreamFilter { predicate: (benchmark_constituents_ft.date >= asset_distributions_for_consumers_mv.effective_start_date) AND (benchmark_constituents_ft.date < asset_distributions_for_consumers_mv.effective_end_date) }
    ├── output:
    │   ┌── benchmark_constituents_ft.benchmark_id
    │   ├── benchmark_constituents_ft.date
    │   ├── benchmark_constituents_ft.asset_id
    │   ├── benchmark_constituents_ft.weight
    │   ├── asset_distributions_for_consumers_mv.asset_id
    │   ├── asset_distributions_for_consumers_mv.distribution_type
    │   ├── asset_distributions_for_consumers_mv.effective_start_date
    │   ├── asset_distributions_for_consumers_mv.effective_end_date
    │   ├── asset_distributions_for_consumers_mv.taxonomy_node_id
    │   ├── asset_distributions_for_consumers_mv.taxonomy_code
    │   ├── asset_distributions_for_consumers_mv.share
    │   ├── asset_distributions_for_consumers_mv.asset_distributions_dm.dimension
    │   └── asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id
    ├── stream key: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, benchmark_constituents_ft.asset_id, asset_distributions_for_consumers_mv.asset_distributions_dm.dimension, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.effective_start_date, asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id ]
    └── StreamHashJoin { type: Inner, predicate: benchmark_constituents_ft.asset_id = asset_distributions_for_consumers_mv.asset_id }
        ├── output:
        │   ┌── benchmark_constituents_ft.benchmark_id
        │   ├── benchmark_constituents_ft.date
        │   ├── benchmark_constituents_ft.asset_id
        │   ├── benchmark_constituents_ft.weight
        │   ├── asset_distributions_for_consumers_mv.asset_id
        │   ├── asset_distributions_for_consumers_mv.distribution_type
        │   ├── asset_distributions_for_consumers_mv.effective_start_date
        │   ├── asset_distributions_for_consumers_mv.effective_end_date
        │   ├── asset_distributions_for_consumers_mv.taxonomy_node_id
        │   ├── asset_distributions_for_consumers_mv.taxonomy_code
        │   ├── asset_distributions_for_consumers_mv.share
        │   ├── asset_distributions_for_consumers_mv.asset_distributions_dm.dimension
        │   └── asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id
        ├── stream key: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, benchmark_constituents_ft.asset_id, asset_distributions_for_consumers_mv.asset_distributions_dm.dimension, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.effective_start_date, asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id ]
        ├── MergeExecutor { output: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, benchmark_constituents_ft.asset_id, benchmark_constituents_ft.weight ], stream key: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, benchmark_constituents_ft.asset_id ] }
        └── MergeExecutor
            ├── output: [ asset_distributions_for_consumers_mv.asset_id, asset_distributions_for_consumers_mv.distribution_type, asset_distributions_for_consumers_mv.effective_start_date, asset_distributions_for_consumers_mv.effective_end_date, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.taxonomy_code, asset_distributions_for_consumers_mv.share, asset_distributions_for_consumers_mv.asset_distributions_dm.dimension, asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id ]
            └── stream key: [ asset_distributions_for_consumers_mv.asset_id, asset_distributions_for_consumers_mv.asset_distributions_dm.dimension, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.effective_start_date, asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id ]

Fragment 11118 (Actor 33082,33081)
StreamTableScan { table: benchmark_constituents_ft, columns: [benchmark_id, date, asset_id, weight] } { output: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, benchmark_constituents_ft.asset_id, benchmark_constituents_ft.weight ], stream key: [ benchmark_constituents_ft.benchmark_id, benchmark_constituents_ft.date, benchmark_constituents_ft.asset_id ] }
├── Upstream { output: [ benchmark_id, date, asset_id, weight ], stream key: [] }
└── BatchPlanNode { output: [ benchmark_id, date, asset_id, weight ], stream key: [] }

Fragment 11119 (Actor 33084,33083)
StreamTableScan { table: asset_distributions_for_consumers_mv, columns: [asset_id, distribution_type, effective_start_date, effective_end_date, taxonomy_node_id, taxonomy_code, share, asset_distributions_dm.dimension, taxonomy_nodes_dm.dimension_id] }
├── output: [ asset_distributions_for_consumers_mv.asset_id, asset_distributions_for_consumers_mv.distribution_type, asset_distributions_for_consumers_mv.effective_start_date, asset_distributions_for_consumers_mv.effective_end_date, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.taxonomy_code, asset_distributions_for_consumers_mv.share, asset_distributions_for_consumers_mv.asset_distributions_dm.dimension, asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id ]
├── stream key: [ asset_distributions_for_consumers_mv.asset_id, asset_distributions_for_consumers_mv.asset_distributions_dm.dimension, asset_distributions_for_consumers_mv.taxonomy_node_id, asset_distributions_for_consumers_mv.effective_start_date, asset_distributions_for_consumers_mv.taxonomy_nodes_dm.dimension_id ]
├── Upstream { output: [ asset_id, distribution_type, effective_start_date, effective_end_date, taxonomy_node_id, taxonomy_code, share, asset_distributions_dm.dimension, taxonomy_nodes_dm.dimension_id ], stream key: [] }
└── BatchPlanNode { output: [ asset_id, distribution_type, effective_start_date, effective_end_date, taxonomy_node_id, taxonomy_code, share, asset_distributions_dm.dimension, taxonomy_nodes_dm.dimension_id ], stream key: [] }

Fragment 11120 (Actor 33077,33078)
StreamProject { exprs: [benchmarks_dm.id] } { output: [ benchmarks_dm.id ], stream key: [ benchmarks_dm.id ] }
└── StreamFilter { predicate: IsNull(benchmarks_dm.disabled_at) } { output: [ benchmarks_dm.id, benchmarks_dm.disabled_at ], stream key: [ benchmarks_dm.id ] }
    └── StreamTableScan { table: benchmarks_dm, columns: [id, disabled_at] } { output: [ benchmarks_dm.id, benchmarks_dm.disabled_at ], stream key: [ benchmarks_dm.id ] }
        ├── Upstream { output: [ id, disabled_at ], stream key: [] }
        └── BatchPlanNode { output: [ id, disabled_at ], stream key: [] }