✔ PASS
Search & Retrieval
task_071_Q71_search_journey_order_attribution
Scaled: 1M+ Records
Ordered: Yes
Customer Search-to-Purchase Path Attribution (Session Query Lift)
Candidate Latency (1M Rows)
247.89 ms
(1.1x slower than golden)
Golden Latency (1M Rows)
227.26 ms
DuckDB in-memory engine
Underlying Data Volume
2,000,000 rows
61.0 MiB across 2 tables
Evaluated Model
gemini-3.8-flash-low
Gen Latency: 19.6s
✔ Correctness Verified on 1M+ Records
Candidate SQL output matches ground truth golden query across all multiset rows and numeric tolerances (tol=1e-3). Zero data skew or anti-patterns detected on full dataset scale.
1. Analytical Significance & What It Means
Scenario & Frontier TrapBusiness Scenario & Problem
E-commerce search product managers need to know which search queries drove actual revenue. We link search queries to checkout events within the same 30-minute session.
⚡ The Frontier Trap (Why LLMs Fail)
Attributing purchases to search queries that occurred after the purchase order was placed.
Prompt / User Request Given to Model
E-commerce search product managers need to know which search queries drove actual revenue. We link search queries to checkout events within the same 30-minute session. Execute the required analytical SQL calculation in DuckDB. Expected output columns: order_id, user_id, order_total, attributing_search_query, searched_at, ordered_at. Results should be ordered as specified.
2. Underlying Tables, Row Counts & Data Volume
2 Tables (2,000,000 rows • 61.0 MiB)Production-scale fixtures loaded into the isolated DuckDB sandbox with at least 1,000,000 records per table:
📊 completed_orders
1,000,000 rows
30.5 MiB Data Volume
order_id (INTEGER) user_id (INTEGER) order_total (DECIMAL(10,2)) ordered_at (TIMESTAMP)Data Preview (showing sample rows from 1,000,000 total rows):
| # | order_id | user_id | order_total | ordered_at |
|---|---|---|---|---|
| 1 | 1,001 | 50 | 349.99 | 2026-03-01 14:25:00 |
| 2 | 1,001 | 50 | 337.84 | 2026-03-01 09:30:00.000002 |
| 3 | 1,002 | 51 | 414.3 | 2026-03-01 09:30:00.000030 |
| 4 | 1,003 | 52 | 392.97 | 2026-03-01 09:30:00.000047 |
| 5 | 1,004 | 53 | 389.91 | 2026-03-01 09:30:00.000066 |
| 6 | 1,005 | 54 | 342.54 | 2026-03-01 09:30:00.000081 |
| 7 | 1,006 | 55 | 411.71 | 2026-03-01 09:30:00.000109 |
| 8 | 1,007 | 56 | 366.16 | 2026-03-01 09:30:00.000122 |
| 9 | 1,008 | 57 | 257.57 | 2026-03-01 09:30:00.000154 |
| 10 | 1,009 | 58 | 326.13 | 2026-03-01 09:30:00.000164 |
| 11 | 1,010 | 59 | 265.78 | 2026-03-01 09:30:00.000193 |
| 12 | 1,011 | 60 | 373.45 | 2026-03-01 09:30:00.000204 |
| 13 | 1,012 | 61 | 490.31 | 2026-03-01 09:30:00.000241 |
| 14 | 1,013 | 62 | 340.11 | 2026-03-01 09:30:00.000242 |
| 15 | 1,014 | 63 | 310.58 | 2026-03-01 09:30:00.000266 |
📊 user_search_queries
1,000,000 rows
30.5 MiB Data Volume
user_id (INTEGER) query_term (VARCHAR) searched_at (TIMESTAMP)Data Preview (showing sample rows from 1,000,000 total rows):
| # | user_id | query_term | searched_at |
|---|---|---|---|
| 1 | 50 | noise canceling headphones | 2026-03-01 14:10:00 |
| 2 | 50 | sony xm5 sale | 2026-03-01 14:15:00 |
| 3 | 50 | noise canceling headphones | 2026-03-01 09:30:00.000006 |
| 4 | 51 | sony xm5 sale | 2026-03-01 09:30:00.000041 |
| 5 | 52 | noise canceling headphones | 2026-03-01 09:30:00.000042 |
| 6 | 53 | sony xm5 sale | 2026-03-01 09:30:00.000062 |
| 7 | 54 | noise canceling headphones | 2026-03-01 09:30:00.000082 |
| 8 | 55 | sony xm5 sale | 2026-03-01 09:30:00.000111 |
| 9 | 56 | noise canceling headphones | 2026-03-01 09:30:00.000127 |
| 10 | 57 | sony xm5 sale | 2026-03-01 09:30:00.000143 |
| 11 | 58 | noise canceling headphones | 2026-03-01 09:30:00.000174 |
| 12 | 59 | sony xm5 sale | 2026-03-01 09:30:00.000188 |
| 13 | 60 | noise canceling headphones | 2026-03-01 09:30:00.000213 |
| 14 | 61 | sony xm5 sale | 2026-03-01 09:30:00.000223 |
| 15 | 62 | noise canceling headphones | 2026-03-01 09:30:00.000254 |
3. Graphical Query Execution Plan & Cost Bottlenecks
Physical Operator Tree (DuckDB 2.0 Profiler)Visual flowchart of the physical execution pipeline. Operators with high relative costs (≥ 20% of query runtime or heavy latency) are visually highlighted:
🔥 10.1% Cost
Latency: 58.04 ms
Rows In/Out: 533,770
Data Vol: 24.43 MB
0.1%
Latency: 0.62 ms
Rows In/Out: 533,770
Data Vol: 37.86 MB
📁 Projections: ['order_id', 'user_...
🔥 87.7% Cost
Latency: 505.34 ms
Rows In/Out: 533,770
Data Vol: 37.86 MB
0.3%
Latency: 1.93 ms
Rows In/Out: 999,999
Data Vol: 22.89 MB
📁 memory.main.completed_orders
1.7%
Latency: 9.98 ms
Rows In/Out: 1,000,000
Data Vol: 26.70 MB
📁 memory.main.user_search_queries
| Operator | Cost % | Latency | Processed Rows | Data Volume | Details / Table | Status |
|---|---|---|---|---|---|---|
| ASOF_JOIN | 87.7% | 505.34 ms | 533,770 | 37.86 MB | - | 🔥 BOTTLENECK |
| ORDER_BY | 10.1% | 58.04 ms | 533,770 | 24.43 MB | - | 🔥 BOTTLENECK |
| TABLE_SCAN | 1.7% | 9.98 ms | 1,000,000 | 26.70 MB | memory.main.user_search_queries | Normal |
| TABLE_SCAN | 0.3% | 1.93 ms | 999,999 | 22.89 MB | memory.main.completed_orders | Normal |
| PROJECTION | 0.1% | 0.62 ms | 533,770 | 37.86 MB | Projections: ['order_id', 'user_id', 'order_tota | Normal |
4. Queries Executed (Candidate vs Golden Ground Truth)
Beautified & Syntax Highlighted-- Attribute purchase to the most recent search query prior to order
SELECT o.order_id,
o.user_id,
o.order_total,
s.query_term AS attributing_search_query,
s.searched_at,
o.ordered_at
FROM completed_orders o asof
JOIN user_search_queries s ON o.user_id = s.user_id
AND o.ordered_at >= s.searched_at
ORDER BY o.order_id;
-- Attribute purchase to the most recent search query prior to order
SELECT o.order_id,
o.user_id,
o.order_total,
s.query_term AS attributing_search_query,
s.searched_at,
o.ordered_at
FROM completed_orders o asof
JOIN user_search_queries s ON o.user_id = s.user_id
AND o.ordered_at >= s.searched_at
ORDER BY o.order_id;
CREATE TABLE user_search_queries (user_id INT, query_term VARCHAR, searched_at TIMESTAMP);
CREATE TABLE completed_orders (order_id INT, user_id INT, order_total decimal(10, 2),
ordered_at TIMESTAMP);
INSERT INTO user_search_queries
VALUES (50, 'noise canceling headphones', '2026-03-01 14:10:00'),
(50, 'sony xm5 sale', '2026-03-01 14:15:00');
INSERT INTO completed_orders
VALUES (1001, 50, 349.99, '2026-03-01 14:25:00');
5. Query Results & Expected Ground Truth
Tabular Comparison
Actual Candidate Output
(533,770 rows × 6 cols)
| # | order_id | user_id | order_total | attributing_search_query | searched_at | ordered_at |
|---|---|---|---|---|---|---|
| 1 | 1,001 | 50 | 349.99 | sony xm5 sale | 2026-03-01 14:15:00 | 2026-03-01 14:25:00 |
| 2 | 1,003 | 52 | 392.97 | noise canceling headphones | 2026-03-01 09:30:00.000042 | 2026-03-01 09:30:00.000047 |
| 3 | 1,004 | 53 | 389.91 | sony xm5 sale | 2026-03-01 09:30:00.000062 | 2026-03-01 09:30:00.000066 |
| 4 | 1,008 | 57 | 257.57 | sony xm5 sale | 2026-03-01 09:30:00.000143 | 2026-03-01 09:30:00.000154 |
| 5 | 1,010 | 59 | 265.78 | sony xm5 sale | 2026-03-01 09:30:00.000188 | 2026-03-01 09:30:00.000193 |
| 6 | 1,012 | 61 | 490.31 | sony xm5 sale | 2026-03-01 09:30:00.000223 | 2026-03-01 09:30:00.000241 |
| 7 | 1,014 | 63 | 310.58 | sony xm5 sale | 2026-03-01 09:30:00.000264 | 2026-03-01 09:30:00.000266 |
| 8 | 1,017 | 66 | 291.52 | noise canceling headphones | 2026-03-01 09:30:00.000329 | 2026-03-01 09:30:00.000329 |
| 9 | 1,018 | 67 | 324.79 | sony xm5 sale | 2026-03-01 09:30:00.000341 | 2026-03-01 09:30:00.000344 |
| 10 | 1,019 | 68 | 420.22 | noise canceling headphones | 2026-03-01 09:30:00.000367 | 2026-03-01 09:30:00.000371 |
| 11 | 1,020 | 69 | 231.35 | sony xm5 sale | 2026-03-01 09:30:00.000395 | 2026-03-01 09:30:00.000398 |
| 12 | 1,024 | 73 | 393.78 | sony xm5 sale | 2026-03-01 09:30:00.000462 | 2026-03-01 09:30:00.000467 |
| 13 | 1,026 | 75 | 301.47 | sony xm5 sale | 2026-03-01 09:30:00.000505 | 2026-03-01 09:30:00.000507 |
| 14 | 1,027 | 76 | 288.13 | noise canceling headphones | 2026-03-01 09:30:00.000522 | 2026-03-01 09:30:00.000529 |
| 15 | 1,028 | 77 | 375.72 | sony xm5 sale | 2026-03-01 09:30:00.000542 | 2026-03-01 09:30:00.000544 |
| 16 | 1,031 | 80 | 454.06 | noise canceling headphones | 2026-03-01 09:30:00.000611 | 2026-03-01 09:30:00.000616 |
| 17 | 1,033 | 82 | 300.66 | noise canceling headphones | 2026-03-01 09:30:00.000643 | 2026-03-01 09:30:00.000648 |
| 18 | 1,038 | 87 | 282.11 | sony xm5 sale | 2026-03-01 09:30:00.000740 | 2026-03-01 09:30:00.000750 |
| 19 | 1,043 | 92 | 402.84 | noise canceling headphones | 2026-03-01 09:30:00.000840 | 2026-03-01 09:30:00.000848 |
| 20 | 1,047 | 96 | 325.85 | noise canceling headphones | 2026-03-01 09:30:00.000924 | 2026-03-01 09:30:00.000924 |
| 21 | 1,048 | 97 | 430.79 | sony xm5 sale | 2026-03-01 09:30:00.000946 | 2026-03-01 09:30:00.000952 |
| 22 | 1,049 | 98 | 336.34 | noise canceling headphones | 2026-03-01 09:30:00.000960 | 2026-03-01 09:30:00.000962 |
| 23 | 1,052 | 101 | 425.22 | sony xm5 sale | 2026-03-01 09:30:00.001023 | 2026-03-01 09:30:00.001031 |
| 24 | 1,053 | 102 | 272.34 | noise canceling headphones | 2026-03-01 09:30:00.001051 | 2026-03-01 09:30:00.001052 |
| 25 | 1,054 | 103 | 311.43 | sony xm5 sale | 2026-03-01 09:30:00.001062 | 2026-03-01 09:30:00.001066 |
Showing first 25 of 533,770 total rows.
Expected Golden Output
(533,770 rows × 6 cols)
| # | order_id | user_id | order_total | attributing_search_query | searched_at | ordered_at |
|---|---|---|---|---|---|---|
| 1 | 1,001 | 50 | 349.99 | sony xm5 sale | 2026-03-01 14:15:00 | 2026-03-01 14:25:00 |
| 2 | 1,003 | 52 | 392.97 | noise canceling headphones | 2026-03-01 09:30:00.000042 | 2026-03-01 09:30:00.000047 |
| 3 | 1,004 | 53 | 389.91 | sony xm5 sale | 2026-03-01 09:30:00.000062 | 2026-03-01 09:30:00.000066 |
| 4 | 1,008 | 57 | 257.57 | sony xm5 sale | 2026-03-01 09:30:00.000143 | 2026-03-01 09:30:00.000154 |
| 5 | 1,010 | 59 | 265.78 | sony xm5 sale | 2026-03-01 09:30:00.000188 | 2026-03-01 09:30:00.000193 |
| 6 | 1,012 | 61 | 490.31 | sony xm5 sale | 2026-03-01 09:30:00.000223 | 2026-03-01 09:30:00.000241 |
| 7 | 1,014 | 63 | 310.58 | sony xm5 sale | 2026-03-01 09:30:00.000264 | 2026-03-01 09:30:00.000266 |
| 8 | 1,017 | 66 | 291.52 | noise canceling headphones | 2026-03-01 09:30:00.000329 | 2026-03-01 09:30:00.000329 |
| 9 | 1,018 | 67 | 324.79 | sony xm5 sale | 2026-03-01 09:30:00.000341 | 2026-03-01 09:30:00.000344 |
| 10 | 1,019 | 68 | 420.22 | noise canceling headphones | 2026-03-01 09:30:00.000367 | 2026-03-01 09:30:00.000371 |
| 11 | 1,020 | 69 | 231.35 | sony xm5 sale | 2026-03-01 09:30:00.000395 | 2026-03-01 09:30:00.000398 |
| 12 | 1,024 | 73 | 393.78 | sony xm5 sale | 2026-03-01 09:30:00.000462 | 2026-03-01 09:30:00.000467 |
| 13 | 1,026 | 75 | 301.47 | sony xm5 sale | 2026-03-01 09:30:00.000505 | 2026-03-01 09:30:00.000507 |
| 14 | 1,027 | 76 | 288.13 | noise canceling headphones | 2026-03-01 09:30:00.000522 | 2026-03-01 09:30:00.000529 |
| 15 | 1,028 | 77 | 375.72 | sony xm5 sale | 2026-03-01 09:30:00.000542 | 2026-03-01 09:30:00.000544 |
| 16 | 1,031 | 80 | 454.06 | noise canceling headphones | 2026-03-01 09:30:00.000611 | 2026-03-01 09:30:00.000616 |
| 17 | 1,033 | 82 | 300.66 | noise canceling headphones | 2026-03-01 09:30:00.000643 | 2026-03-01 09:30:00.000648 |
| 18 | 1,038 | 87 | 282.11 | sony xm5 sale | 2026-03-01 09:30:00.000740 | 2026-03-01 09:30:00.000750 |
| 19 | 1,043 | 92 | 402.84 | noise canceling headphones | 2026-03-01 09:30:00.000840 | 2026-03-01 09:30:00.000848 |
| 20 | 1,047 | 96 | 325.85 | noise canceling headphones | 2026-03-01 09:30:00.000924 | 2026-03-01 09:30:00.000924 |
| 21 | 1,048 | 97 | 430.79 | sony xm5 sale | 2026-03-01 09:30:00.000946 | 2026-03-01 09:30:00.000952 |
| 22 | 1,049 | 98 | 336.34 | noise canceling headphones | 2026-03-01 09:30:00.000960 | 2026-03-01 09:30:00.000962 |
| 23 | 1,052 | 101 | 425.22 | sony xm5 sale | 2026-03-01 09:30:00.001023 | 2026-03-01 09:30:00.001031 |
| 24 | 1,053 | 102 | 272.34 | noise canceling headphones | 2026-03-01 09:30:00.001051 | 2026-03-01 09:30:00.001052 |
| 25 | 1,054 | 103 | 311.43 | sony xm5 sale | 2026-03-01 09:30:00.001062 | 2026-03-01 09:30:00.001066 |
Showing first 25 of 533,770 total rows.