PHPMem v2.0.1
Version
1.6.45
Uptime
15 days 11 hours 59 minutes 9 seconds
Memory
Total
512MB
Used
16,59MB (3.24%)
Free
495,41MB
Keys
Current
18 887
Total (since start)
34 930
Evictions
0
Reclaimed
494
Expired Unfetched
0
Evicted Unfetched
0
Connections
Current
16 / 1 024 max
Total
173 122
Rejected
0
llm:0862bd4c47d8498cabb3ce528a1ce9df9c814da64f22bf5b7796a81aadc24f4c
Edit
{
"action": "tool_call",
"reasoning": "The dataset has multiple geographic dimensions. From the evidence, I can see: (1) matches_1930_2022 has Host and Venue columns for match locations, plus home_team/away_team which represent countries; (2) fifa_ranking tables have team (country names), team_code, and association (continental confederation). I need to understand the distribution across these geographic axes. Let me start by querying the distribution of matches by host country, which shows where World Cups have been held historically.",
"tool": "query_sql",
"args": {
"sql": "SELECT Host, COUNT(*) as match_count, MIN(Year) as first_year, MAX(Year) as last_year FROM raw.matches_1930_2022 GROUP BY Host ORDER BY match_count DESC",
"purpose": "Distribution of World Cup matches by host country to show geographic concentration of tournament hosting",
"source": "raw"
}
}