× smfs.
Star on GitHub
← Back to runs
Claude Code Claude Code Codex Codex
dp_010 q04 991 files multi_hop Claude Code

What was the reported root cause of 'The Great Slowdown' incident, and which engineer was assigned to optimize the specific SQL query responsible?

Gold answer

A runaway PostgreSQL query. Leo Martinez was assigned to optimize it.

Filesystem View raw JSON
Input
260k
Output
221
Steps
7
Tools
4
Latency
26.3s
Cost
$3.92
#2 Ran ls /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_010/agent_memory/ 67 chars
Command Bash 
ls /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_010/agent_memory/

{
  "description": "List agent_memory directory"
}
Result 10 lines 
1on1
docs
email
meetings
memo
memory
projects
slack
support
tickets
#3 Read /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_010/agent_memory/ 4,920 chars
Command Grep 
{
  "pattern": "Great Slowdown",
  "path": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_010/agent_memory/",
  "output_mode": "files_with_matches"
}
Result 8 lines 
Found 76 files
agent_memory/email/internal/pm_2023_005_draft_review.md
agent_memory/email/internal/post_mortem_pm_2023_005_published.md
agent_memory/email/internal/nova_beta_update_for_sales.md
agent_memory/email/internal/scheduling_slowdown_postmortem.md
agent_memory/email/internal/post_mortem_follow_up.md
agent_memory/email/internal/fwd_urgent_deal_contingency_innovate.md
agent_memory/email/inte…
#4 Edited agent_memory/email/internal/post_mortem_pm_2023_005_published.md 32,618 chars
Command Read 
{
  "file_path": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_010/agent_memory/email/internal/post_mortem_pm_2023_005_published.md"
}
Result 9 lines 
1	Subject: Post-Mortem for 'The Great Slowdown' Incident Published
2	
3	From: Maya Singh <maya.singh@connectsphere.com>
4	To: All Engineering Department <engineering-all@connectsphere.com>
5	Date: Mon, 11 Sep 2023 10:01:00 -0700
6	
7	Team,
8	
9	I'm writing to inform you that the official post-mortem document for the 'The Great Slowdown' incident, which occurred on [Date of Incident - e.g., August …
#6 Edited agent_memory/projects/nova/remediation_tickets/PLAT-1140_optimize_customer_report_query.md 37,493 chars
Command Read 
{
  "file_path": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_010/agent_memory/projects/nova/remediation_tickets/PLAT-1140_optimize_customer_report_query.md"
}
Result 13 lines 
1	# PLAT-1140: Investigate and Optimize Customer Report Query
2	
3	**Project:** Nova
4	**Component:** Reporting Engine
5	**Reporter:** fatima_ahmed
6	**Assignee:** leo.martinez@connectsphere.com
7	**Priority:** Highest
8	**Status:** Open
9	**Labels:** performance, sql, optimization, post-mortem, incident-response, PLAT-1140
10	
11	## Description
12	
13	This ticket is assigned to Leo Martinez as pa…
#7 Reasoning 779 chars 
Based on the post-mortem (PM-2023-005) and remediation ticket PLAT-1140:

- **Reported root cause:** A runaway/inefficient PostgreSQL query — specifically the `generate_monthly_active_users_by_region` query in `reporting/sql/customer_metrics.py`, which generated the "Monthly Active Users by Region" report. Under peak load on Sept 8, 2023, it did a sequential scan on the ~500M-row `users` table (no indexes on `is_active` / `last_login_date`), spiking CPU/IO on the reporting replica and cascading across services.
- **Engineer assigned to optimize it:** **Leo Martinez** (PLAT-1140, assigned by Alex Chen, reported by Fatima Ahmed). His fix was a composite index `users_is_active_last_login_date_idx ON users (is_active, last_login_date)`, scheduled for deployment 2023-09-19.
Answer
Based on the post-mortem (PM-2023-005) and remediation ticket PLAT-1140: - **Reported root cause:** A runaway/inefficient PostgreSQL query — specifically the `generate_monthly_active_users_by_region` query in `reporting/sql/customer_metrics.py`, which generated the "Monthly Active Users by Region" report. Under peak load on Sept 8, 2023, it did a sequential scan on the ~500M-row `users` table (no indexes on `is_active` / `last_login_date`), spiking CPU/IO on the reporting replica and cascading …
Judge: covers all asked facts
SMFS Won View raw JSON
Input
132k
Output
44
Steps
4
Tools
2
Latency
15.3s
Cost
$1.98
#2 Ran smfs grep "The Great Slowdown incident root cause" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/d… 7,502 chars
Command Bash 
smfs grep "The Great Slowdown incident root cause" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_010/agent_memory/

{
  "description": "Semantic search for Great Slowdown incident"
}
Result 7 lines 
# supermemory semantic search — 10 results for "The Great Slowdown incident root cause"
# searches by meaning across files in this container. usage:
#   grep "natural language query"          search all files
#   grep "query" path/to/dir/              search within directory
# output: <filepath>:<line_start>-<line_end>:<chunk> (chunk text is verbatim from the file)

/docs/post_mortems/pm-2023-005_…
#3 Ran smfs grep "engineer assigned to optimize SQL query" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/… 7,240 chars
Command Bash 
smfs grep "engineer assigned to optimize SQL query" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_010/agent_memory/

{
  "description": "Find engineer assigned to optimize SQL query"
}
Result 7 lines 
# supermemory semantic search — 10 results for "engineer assigned to optimize SQL query"
# searches by meaning across files in this container. usage:
#   grep "natural language query"          search all files
#   grep "query" path/to/dir/              search within directory
# output: <filepath>:<line_start>-<line_end>:<chunk> (chunk text is verbatim from the file)

/projects/nova/remediation_tic…
#4 Reasoning 876 chars 
I have enough information to answer.

**Reported root cause of "The Great Slowdown":**
A single, poorly optimized PostgreSQL query — specifically the one generating the "Monthly Active Users by Region" report from the customer reporting dashboard (located in `reporting/sql/customer_metrics.py`, function `generate_monthly_active_users_by_region`). Under specific load conditions, the query optimizer (misled by stale `posts` table statistics following a mass deletion) chose a full sequential scan instead of using available indexes, causing severe CPU/I-O/network contention on a critical DB replica and cascading timeouts.

**Engineer assigned to optimize the query:**
**Leo Martinez** — formally assigned ticket **PLAT-1140** by Alex Chen (Engineering Lead) via the slowdown remediation assignments email, addressing corrective action item #3 from post-mortem PM-2023-005.
Answer
I have enough information to answer. **Reported root cause of "The Great Slowdown":** A single, poorly optimized PostgreSQL query — specifically the one generating the "Monthly Active Users by Region" report from the customer reporting dashboard (located in `reporting/sql/customer_metrics.py`, function `generate_monthly_active_users_by_region`). Under specific load conditions, the query optimizer (misled by stale `posts` table statistics following a mass deletion) chose a full sequential scan i…
Judge: covers all asked facts