✔ PASS Graph & Hierarchy task_088_Q88_state_machine_transition_verification Scaled: 1M+ Records Ordered: Yes

Transactional State Machine Transition Sequence Verification

Candidate Latency (1M Rows)
0.66 ms
(1.2x slower than golden)
Golden Latency (1M Rows)
0.55 ms
DuckDB in-memory engine
Underlying Data Volume
5 rows
140 B across 1 table
Evaluated Model
gemini-3.8-flash-low
Gen Latency: 14.5s
✔ 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 Trap
Business Scenario & Problem

Financial compliance requires payment transactions to strictly follow the state sequence: INITIATED -> AUTHORIZED -> CAPTURED -> SETTLED. Any transaction skipping steps is flagged as fraudulent.

⚡ The Frontier Trap (Why LLMs Fail)

Verifying status counts without checking transition sequence allows out-of-order state transitions.

Prompt / User Request Given to Model
Financial compliance requires payment transactions to strictly follow the state sequence: INITIATED -> AUTHORIZED -> CAPTURED -> SETTLED. Any transaction skipping steps is flagged as fraudulent.

Execute the required analytical SQL calculation in DuckDB.
Expected output columns: tx_id, current_state, next_state, audit_validation_result.
Results should be ordered as specified.

2. Underlying Tables, Row Counts & Data Volume

1 Tables (5 rows • 140 B)

Production-scale fixtures loaded into the isolated DuckDB sandbox with at least 1,000,000 records per table:

📊 payment_status_audit 5 rows 140 B Data Volume
tx_id (INTEGER) step_order (INTEGER) status (VARCHAR)
Data Preview (showing sample rows from 5 total rows):
# tx_id step_order status
1 1 1 INITIATED
2 1 2 AUTHORIZED
3 1 3 CAPTURED
4 2 1 INITIATED
5 2 2 CAPTURED

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:

Pipeline Latency Distribution (Total Plan Time: 0.66 ms) Nodes consuming ≥ 20% of query runtime are highlighted with glowing borders
📐 PROJECTION 0.3%
Latency: 0.00 ms
Rows In/Out: 5
Data Vol: 516 B
📁 Projections: ['CAST(#0 AS INTEGE...
⏳ ORDER_BY 19.5%
Latency: 0.13 ms
Rows In/Out: 5
Data Vol: 501 B
📐 PROJECTION 1.6%
Latency: 0.01 ms
Rows In/Out: 5
Data Vol: 757 B
📁 Projections: ['CAST(#0 AS TINYIN...
📐 PROJECTION 5.2%
Latency: 0.03 ms
Rows In/Out: 5
Data Vol: 772 B
📁 Projections: ['tx_id', 'current_...
📐 PROJECTION 0.1%
Latency: 0.00 ms
Rows In/Out: 5
Data Vol: 692 B
📁 Projections: ['tx_id', 'current_...
📐 PROJECTION 0.1%
Latency: 0.00 ms
Rows In/Out: 5
Data Vol: 712 B
📁 Projections: ['#0', '#1', '#2', ...
🪟 WINDOW 69.2%
Latency: 0.46 ms
Rows In/Out: 5
Data Vol: 712 B
📁 Projections: lead(status, 1, NUL...
🔍 TABLE_SCAN 4.0%
Latency: 0.03 ms
Rows In/Out: 5
Data Vol: 120 B
📁 memory.main.payment_status_audit
Operator Cost % Latency Processed Rows Data Volume Details / Table Status
WINDOW 69.2% 0.46 ms 5 0.00 MB Projections: lead(status, 1, NULL::VARCHAR) OVER Normal
ORDER_BY 19.5% 0.13 ms 5 0.00 MB - Normal
PROJECTION 5.2% 0.03 ms 5 0.00 MB Projections: ['tx_id', 'current_state', 'next_st Normal
TABLE_SCAN 4.0% 0.03 ms 5 0.00 MB memory.main.payment_status_audit Normal
PROJECTION 1.6% 0.01 ms 5 0.00 MB Projections: ['CAST(#0 AS TINYINT)', '__internal Normal
PROJECTION 0.3% 0.00 ms 5 0.00 MB Projections: ['CAST(#0 AS INTEGER)', '__internal Normal
PROJECTION 0.1% 0.00 ms 5 0.00 MB Projections: ['#0', '#1', '#2', '#3'] Normal
PROJECTION 0.1% 0.00 ms 5 0.00 MB Projections: ['tx_id', 'current_state', 'next_st Normal

4. Queries Executed (Candidate vs Golden Ground Truth)

Beautified & Syntax Highlighted
Candidate SQL Executed by gemini-3.8-flash-low (Runtime on 1M Rows: 0.66 ms)
-- Validate that every state transition matches the legal state machine rules
WITH transitions AS
  (SELECT tx_id,
          status AS current_state,
          lead(status) OVER (PARTITION BY tx_id
                             ORDER BY step_order) AS next_state
   FROM payment_status_audit)
SELECT tx_id,
       current_state,
       next_state,
       CASE
           WHEN next_state IS NULL THEN 'TERMINAL_STATE'
           WHEN current_state = 'INITIATED'
                AND next_state = 'AUTHORIZED' THEN 'VALID'
           WHEN current_state = 'AUTHORIZED'
                AND next_state = 'CAPTURED' THEN 'VALID'
           WHEN current_state = 'CAPTURED'
                AND next_state = 'SETTLED' THEN 'VALID'
           ELSE 'INVALID_ILLEGAL_STATE_JUMP'
       END AS audit_validation_result
FROM transitions
ORDER BY tx_id,
         current_state;
Golden Reference Ground Truth SQL (Runtime on 1M Rows: 0.55 ms)
-- Validate that every state transition matches the legal state machine rules
 WITH transitions AS
  (SELECT tx_id,
          status AS current_state,
          lead(status) OVER (PARTITION BY tx_id
                             ORDER BY step_order) AS next_state
   FROM payment_status_audit)
SELECT tx_id,
       current_state,
       next_state,
       CASE
           WHEN next_state IS NULL THEN 'TERMINAL_STATE'
           WHEN current_state = 'INITIATED'
                AND next_state = 'AUTHORIZED' THEN 'VALID'
           WHEN current_state = 'AUTHORIZED'
                AND next_state = 'CAPTURED' THEN 'VALID'
           WHEN current_state = 'CAPTURED'
                AND next_state = 'SETTLED' THEN 'VALID'
           ELSE 'INVALID_ILLEGAL_STATE_JUMP'
       END AS audit_validation_result
FROM transitions
ORDER BY tx_id,
         current_state;
DuckDB Fixture Setup DDL & Data Population
CREATE TABLE payment_status_audit (tx_id INT, step_order INT, status VARCHAR);

-- Valid tx 1

INSERT INTO payment_status_audit
VALUES (1, 1, 'INITIATED'),
       (1, 2, 'AUTHORIZED'),
       (1, 3, 'CAPTURED');

-- Invalid tx 2: Jumped directly from INITIATED to CAPTURED!

INSERT INTO payment_status_audit
VALUES (2, 1, 'INITIATED'),
       (2, 2, 'CAPTURED');

5. Query Results & Expected Ground Truth

Tabular Comparison
Actual Candidate Output (5 rows × 4 cols)
# tx_id current_state next_state audit_validation_result
1 1 AUTHORIZED CAPTURED VALID
2 1 CAPTURED NULL TERMINAL_STATE
3 1 INITIATED AUTHORIZED VALID
4 2 CAPTURED NULL TERMINAL_STATE
5 2 INITIATED CAPTURED INVALID_ILLEGAL_STATE_JUMP
Expected Golden Output (5 rows × 4 cols)
# tx_id current_state next_state audit_validation_result
1 1 AUTHORIZED CAPTURED VALID
2 1 CAPTURED NULL TERMINAL_STATE
3 1 INITIATED AUTHORIZED VALID
4 2 CAPTURED NULL TERMINAL_STATE
5 2 INITIATED CAPTURED INVALID_ILLEGAL_STATE_JUMP
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