✔ PASS
Search & Retrieval
task_061_Q61_synonym_expansion_reranking
Scaled: 1M+ Records
Ordered: Yes
Dynamic Query Synonym Expansion via Relational Thesaurus
Candidate Latency (1M Rows)
211.77 ms
(1.1x faster than golden)
Golden Latency (1M Rows)
228.99 ms
DuckDB in-memory engine
Underlying Data Volume
1,000,003 rows
22.9 MiB across 2 tables
Evaluated Model
gemini-3.8-flash-low
Gen Latency: 12.0s
✔ 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
When a customer searches for 'sofa', they also expect to see listings titled 'couch' or 'settee'. Expanding queries using a synonym thesaurus bridges terminology gaps.
⚡ The Frontier Trap (Why LLMs Fail)
Hardcoding synonyms into client-side application code makes vocabulary updates inflexible.
Prompt / User Request Given to Model
When a customer searches for 'sofa', they also expect to see listings titled 'couch' or 'settee'. Expanding queries using a synonym thesaurus bridges terminology gaps. Execute the required analytical SQL calculation in DuckDB. Expected output columns: item_id, description, matched_alias. Results should be ordered as specified.
2. Underlying Tables, Row Counts & Data Volume
2 Tables (1,000,003 rows • 22.9 MiB)Production-scale fixtures loaded into the isolated DuckDB sandbox with at least 1,000,000 records per table:
📊 furniture_items
1,000,000 rows
22.9 MiB Data Volume
item_id (INTEGER) description (VARCHAR)Data Preview (showing sample rows from 1,000,000 total rows):
| # | item_id | description |
|---|---|---|
| 1 | 1 | Modern Italian leather sofa with oak legs |
| 2 | 2 | Vintage velvet couch in emerald green |
| 3 | 3 | Solid wood dining table and 6 chairs |
| 4 | 3 | Modern Italian leather sofa with oak legs |
| 5 | 4 | Vintage velvet couch in emerald green |
| 6 | 5 | Solid wood dining table and 6 chairs |
| 7 | 6 | Modern Italian leather sofa with oak legs |
| 8 | 7 | Vintage velvet couch in emerald green |
| 9 | 8 | Solid wood dining table and 6 chairs |
| 10 | 9 | Modern Italian leather sofa with oak legs |
| 11 | 10 | Vintage velvet couch in emerald green |
| 12 | 11 | Solid wood dining table and 6 chairs |
| 13 | 12 | Modern Italian leather sofa with oak legs |
| 14 | 13 | Vintage velvet couch in emerald green |
| 15 | 14 | Solid wood dining table and 6 chairs |
📊 synonym_thesaurus
3 rows
120 B Data Volume
base_term (VARCHAR) synonym (VARCHAR)Data Preview (showing sample rows from 3 total rows):
| # | base_term | synonym |
|---|---|---|
| 1 | sofa | couch |
| 2 | sofa | settee |
| 3 | sofa | loveseat |
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:
2.4%
Latency: 4.49 ms
Rows In/Out: 666,667
Data Vol: 22.89 MB
📁 Projections: ['#0', '#1', '__int...
🔥 33.1% Cost
Latency: 61.62 ms
Rows In/Out: 666,667
Data Vol: 22.89 MB
0.3%
Latency: 0.63 ms
Rows In/Out: 666,667
Data Vol: 22.89 MB
📁 Projections: ['#0', '#1', '__int...
0.1%
Latency: 0.21 ms
Rows In/Out: 666,667
Data Vol: 22.89 MB
📁 Projections: ['item_id', 'descri...
🔥 58.7% Cost
Latency: 109.39 ms
Rows In/Out: 666,667
Data Vol: 22.89 MB
5.0%
Latency: 9.30 ms
Rows In/Out: 1,000,000
Data Vol: 19.07 MB
📁 memory.main.furniture_items
0.0%
Latency: 0.00 ms
Rows In/Out: 4
Data Vol: 64 B
📁 Projections: __internal_decompre...
0.3%
Latency: 0.55 ms
Rows In/Out: 4
Data Vol: 64 B
0.0%
Latency: 0.00 ms
Rows In/Out: 4
Data Vol: 64 B
📁 Projections: search_term
0.0%
Latency: 0.01 ms
Rows In/Out: 4
Data Vol: 64 B
📁 Projections: __internal_compress...
0.0%
Latency: 0.00 ms
Rows In/Out: 0
Data Vol: 0 B
0.0%
Latency: 0.00 ms
Rows In/Out: 1
Data Vol: 16 B
📁 Projections: search_term
0.0%
Latency: 0.00 ms
Rows In/Out: 1
Data Vol: 4 B
0.0%
Latency: 0.01 ms
Rows In/Out: 3
Data Vol: 48 B
📁 memory.main.synonym_thesaurus
| Operator | Cost % | Latency | Processed Rows | Data Volume | Details / Table | Status |
|---|---|---|---|---|---|---|
| BLOCKWISE_NL_JOIN | 58.7% | 109.39 ms | 666,667 | 22.89 MB | - | 🔥 BOTTLENECK |
| ORDER_BY | 33.1% | 61.62 ms | 666,667 | 22.89 MB | - | 🔥 BOTTLENECK |
| TABLE_SCAN | 5.0% | 9.30 ms | 1,000,000 | 19.07 MB | memory.main.furniture_items | Normal |
| PROJECTION | 2.4% | 4.49 ms | 666,667 | 22.89 MB | Projections: ['#0', '#1', '__internal_decompress | Normal |
| PROJECTION | 0.3% | 0.63 ms | 666,667 | 22.89 MB | Projections: ['#0', '#1', '__internal_compress_s | Normal |
| HASH_GROUP_BY | 0.3% | 0.55 ms | 4 | 0.00 MB | - | Normal |
| PROJECTION | 0.1% | 0.21 ms | 666,667 | 22.89 MB | Projections: ['item_id', 'description', 'matched | Normal |
| PROJECTION | 0.0% | 0.01 ms | 4 | 0.00 MB | Projections: __internal_compress_string_uhugeint | Normal |
| TABLE_SCAN | 0.0% | 0.01 ms | 3 | 0.00 MB | memory.main.synonym_thesaurus | Normal |
| PROJECTION | 0.0% | 0.00 ms | 4 | 0.00 MB | Projections: __internal_decompress_string(#0) | Normal |
| PROJECTION | 0.0% | 0.00 ms | 1 | 0.00 MB | Projections: search_term | Normal |
| DUMMY_SCAN | 0.0% | 0.00 ms | 1 | 0.00 MB | - | Normal |
| PROJECTION | 0.0% | 0.00 ms | 4 | 0.00 MB | Projections: search_term | Normal |
| UNION | 0.0% | 0.00 ms | 0 | 0.00 MB | - | Normal |
4. Queries Executed (Candidate vs Golden Ground Truth)
Beautified & Syntax HighlightedWITH expanded_terms AS
(SELECT 'sofa' AS search_term
UNION SELECT SYNONYM
FROM synonym_thesaurus
WHERE base_term = 'sofa')
SELECT f.item_id,
f.description,
t.search_term AS matched_alias
FROM furniture_items f
JOIN expanded_terms t ON f.description ILIKE ('%' || t.search_term || '%')
ORDER BY f.item_id;
-- Expand search term 'sofa' with all relational synonyms and match inventory
WITH expanded_terms AS
(SELECT 'sofa' AS search_term
UNION SELECT SYNONYM
FROM synonym_thesaurus
WHERE base_term = 'sofa')
SELECT f.item_id,
f.description,
t.search_term AS matched_alias
FROM furniture_items f
JOIN expanded_terms t ON f.description ILIKE ('%' || t.search_term || '%')
ORDER BY f.item_id;
CREATE TABLE synonym_thesaurus (base_term VARCHAR, SYNONYM VARCHAR);
CREATE TABLE furniture_items (item_id INT, description VARCHAR);
INSERT INTO synonym_thesaurus
VALUES ('sofa', 'couch'),
('sofa', 'settee'),
('sofa', 'loveseat');
INSERT INTO furniture_items
VALUES (1, 'Modern Italian leather sofa with oak legs'),
(2, 'Vintage velvet couch in emerald green'),
(3, 'Solid wood dining table and 6 chairs');
5. Query Results & Expected Ground Truth
Tabular Comparison
Actual Candidate Output
(666,667 rows × 3 cols)
| # | item_id | description | matched_alias |
|---|---|---|---|
| 1 | 1 | Modern Italian leather sofa with oak legs | sofa |
| 2 | 2 | Vintage velvet couch in emerald green | couch |
| 3 | 3 | Modern Italian leather sofa with oak legs | sofa |
| 4 | 4 | Vintage velvet couch in emerald green | couch |
| 5 | 6 | Modern Italian leather sofa with oak legs | sofa |
| 6 | 7 | Vintage velvet couch in emerald green | couch |
| 7 | 9 | Modern Italian leather sofa with oak legs | sofa |
| 8 | 10 | Vintage velvet couch in emerald green | couch |
| 9 | 12 | Modern Italian leather sofa with oak legs | sofa |
| 10 | 13 | Vintage velvet couch in emerald green | couch |
| 11 | 15 | Modern Italian leather sofa with oak legs | sofa |
| 12 | 16 | Vintage velvet couch in emerald green | couch |
| 13 | 18 | Modern Italian leather sofa with oak legs | sofa |
| 14 | 19 | Vintage velvet couch in emerald green | couch |
| 15 | 21 | Modern Italian leather sofa with oak legs | sofa |
| 16 | 22 | Vintage velvet couch in emerald green | couch |
| 17 | 24 | Modern Italian leather sofa with oak legs | sofa |
| 18 | 25 | Vintage velvet couch in emerald green | couch |
| 19 | 27 | Modern Italian leather sofa with oak legs | sofa |
| 20 | 28 | Vintage velvet couch in emerald green | couch |
| 21 | 30 | Modern Italian leather sofa with oak legs | sofa |
| 22 | 31 | Vintage velvet couch in emerald green | couch |
| 23 | 33 | Modern Italian leather sofa with oak legs | sofa |
| 24 | 34 | Vintage velvet couch in emerald green | couch |
| 25 | 36 | Modern Italian leather sofa with oak legs | sofa |
Showing first 25 of 666,667 total rows.
Expected Golden Output
(666,667 rows × 3 cols)
| # | item_id | description | matched_alias |
|---|---|---|---|
| 1 | 1 | Modern Italian leather sofa with oak legs | sofa |
| 2 | 2 | Vintage velvet couch in emerald green | couch |
| 3 | 3 | Modern Italian leather sofa with oak legs | sofa |
| 4 | 4 | Vintage velvet couch in emerald green | couch |
| 5 | 6 | Modern Italian leather sofa with oak legs | sofa |
| 6 | 7 | Vintage velvet couch in emerald green | couch |
| 7 | 9 | Modern Italian leather sofa with oak legs | sofa |
| 8 | 10 | Vintage velvet couch in emerald green | couch |
| 9 | 12 | Modern Italian leather sofa with oak legs | sofa |
| 10 | 13 | Vintage velvet couch in emerald green | couch |
| 11 | 15 | Modern Italian leather sofa with oak legs | sofa |
| 12 | 16 | Vintage velvet couch in emerald green | couch |
| 13 | 18 | Modern Italian leather sofa with oak legs | sofa |
| 14 | 19 | Vintage velvet couch in emerald green | couch |
| 15 | 21 | Modern Italian leather sofa with oak legs | sofa |
| 16 | 22 | Vintage velvet couch in emerald green | couch |
| 17 | 24 | Modern Italian leather sofa with oak legs | sofa |
| 18 | 25 | Vintage velvet couch in emerald green | couch |
| 19 | 27 | Modern Italian leather sofa with oak legs | sofa |
| 20 | 28 | Vintage velvet couch in emerald green | couch |
| 21 | 30 | Modern Italian leather sofa with oak legs | sofa |
| 22 | 31 | Vintage velvet couch in emerald green | couch |
| 23 | 33 | Modern Italian leather sofa with oak legs | sofa |
| 24 | 34 | Vintage velvet couch in emerald green | couch |
| 25 | 36 | Modern Italian leather sofa with oak legs | sofa |
Showing first 25 of 666,667 total rows.