8d89fe80ff
- Archive: 85 agent .txt files → docs/archive/agents/legacy_txt/ - Scripts: Move 110 shell scripts → scripts/ (keep deploy.sh in root) - Models: Move 18 .safetensors → ml/models/checkpoints/training_artifacts/ - Delete: 34 directories (~33GB freed) - target/, coverage_*, test artifacts - Build: Clean 14 build artifacts (.rlib, .o, .pid, binaries) - Tests: Move 14 .rs files → tests/standalone/ - SQL: Move 5 files → sql/ (keep init-db*.sql for Docker) - Wave 153: Archive to docs/archive/historical/wave153/ - Docs: Archive 9 markdown files to wave_d/reports/ and historical/ Total impact: ~34GB freed (both waves), root directory cleaned from 583 to ~40 essential files Directory count reduced from 65 to 31 (52% reduction) All historical data preserved in organized archive structure
60 lines
1.6 KiB
SQL
60 lines
1.6 KiB
SQL
-- Trading workload SQL for pgbench
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-- 40% INSERT, 30% SELECT, 20% UPDATE, 10% Complex queries
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\set account_id 'test_account_' :client_id
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\set venue 'test_venue'
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\set symbol random(1, 3)
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-- Map random number to symbol
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\if :symbol = 1
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\set symbol_str 'BTC/USD'
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\elif :symbol = 2
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\set symbol_str 'ETH/USD'
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\else
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\set symbol_str 'SOL/USD'
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\endif
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\set operation random(1, 10)
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-- 40% INSERT (operations 1-4)
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\if :operation <= 4
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INSERT INTO orders (account_id, symbol, side, order_type, quantity, limit_price, venue, created_at, updated_at)
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VALUES (:'account_id', :'symbol_str', 'buy', 'limit', 100000000, 5000000000000, :'venue',
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EXTRACT(EPOCH FROM NOW()) * 1000000000, EXTRACT(EPOCH FROM NOW()) * 1000000000);
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-- 30% SELECT (operations 5-7)
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\elif :operation <= 7
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SELECT id, status, quantity, filled_quantity
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FROM orders
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WHERE symbol = :'symbol_str'
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ORDER BY created_at DESC
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LIMIT 10;
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-- 20% UPDATE (operations 8-9)
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\elif :operation <= 9
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UPDATE orders
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SET status = 'partially_filled',
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filled_quantity = filled_quantity + 10000000,
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updated_at = EXTRACT(EPOCH FROM NOW()) * 1000000000
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WHERE id = (
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SELECT id
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FROM orders
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WHERE status = 'pending'
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AND symbol = :'symbol_str'
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LIMIT 1
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);
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-- 10% Complex query (operation 10)
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\else
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SELECT symbol,
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COUNT(*) as order_count,
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SUM(quantity) as total_quantity,
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AVG(limit_price) as avg_price,
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COUNT(DISTINCT account_id) as unique_accounts
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FROM orders
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WHERE created_at > EXTRACT(EPOCH FROM (NOW() - INTERVAL '1 hour')) * 1000000000
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GROUP BY symbol
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ORDER BY order_count DESC;
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\endif
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