PHPMem v2.0.1
Version
1.6.45
Uptime
18 days 6 hours 9 minutes 31 seconds
Memory
Total
512MB
Used
12,33MB (2.41%)
Free
499,67MB
Keys
Current
13 424
Total (since start)
40 994
Evictions
0
Reclaimed
762
Expired Unfetched
0
Evicted Unfetched
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3 / 1 024 max
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244 635
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0
llm:ae15cfe5e42e43dff7eeaa27df04d0cb564ecd439f8129cbfb8ddacca00339f1
Edit
{
"action": "tool_call",
"reasoning": "My earlier reply cited numbers that are not in this turn's evidence, so I need to compute the missing-value counts per column and per monthly table with one SQL query before answering.",
"tool": "query_sql",
"args": {
"sql": "SELECT 'January' AS month, COUNT(*) AS total_rows, COUNT(*) - COUNT(\"Company Name\") AS company_name, COUNT(*) - COUNT(\"Founded\") AS founded, COUNT(*) - COUNT(\"Location\") AS location, COUNT(*) - COUNT(\"Sector\") AS sector, COUNT(*) - COUNT(\"What it does\") AS what_it_does, COUNT(*) - COUNT(\"Founders\") AS founders, COUNT(*) - COUNT(\"Investor\") AS investor, COUNT(*) - COUNT(\"Amount\") AS amount, COUNT(*) - COUNT(\"Stage\") AS stage FROM raw.\"Indian Startups _ Funding Investors Data January 2022\" UNION ALL SELECT 'February', COUNT(*), COUNT(*) - COUNT(\"Company Name\"), COUNT(*) - COUNT(\"Founded\"), COUNT(*) - COUNT(\"Location\"), COUNT(*) - COUNT(\"Sector\"), COUNT(*) - COUNT(\"What it does\"), COUNT(*) - COUNT(\"Founders\"), COUNT(*) - COUNT(\"Investor\"), COUNT(*) - COUNT(\"Amount\"), COUNT(*) - COUNT(\"Stage\") FROM raw.\"Indian Startups _ Funding Investors Data February 2022\" UNION ALL SELECT 'March', COUNT(*), COUNT(*) - COUNT(\"Company Name\"), COUNT(*) - COUNT(\"Founded\"), COUNT(*) - COUNT(\"Location\"), COUNT(*) - COUNT(\"Sector\"), COUNT(*) - COUNT(\"What it does\"), COUNT(*) - COUNT(\"Founders\"), COUNT(*) - COUNT(\"Investor\"), COUNT(*) - COUNT(\"Amount\"), COUNT(*) - COUNT(\"Stage\") FROM raw.\"Indian Startups _ Funding Investors Data March 2022\" UNION ALL SELECT 'April', COUNT(*), COUNT(*) - COUNT(\"Company Name\"), COUNT(*) - COUNT(\"Founded\"), COUNT(*) - COUNT(\"Location\"), COUNT(*) - COUNT(\"Sector\"), COUNT(*) - COUNT(\"What it does\"), COUNT(*) - COUNT(\"Founders\"), COUNT(*) - COUNT(\"Investor\"), COUNT(*) - COUNT(\"Amount\"), COUNT(*) - COUNT(\"Stage\") FROM raw.\"Indian Startups _ Funding Investors Data April 2022\" UNION ALL SELECT 'May', COUNT(*), COUNT(*) - COUNT(\"Company Name\"), COUNT(*) - COUNT(\"Founded\"), COUNT(*) - COUNT(\"Location\"), COUNT(*) - COUNT(\"Sector\"), COUNT(*) - COUNT(\"What it does\"), COUNT(*) - COUNT(\"Founders\"), COUNT(*) - COUNT(\"Investor\"), COUNT(*) - COUNT(\"Amount\"), COUNT(*) - COUNT(\"Stage\") FROM raw.\"Indian Startups _ Funding Investors Data May 2022\"",
"purpose": "Count missing (NULL) values per business column in each of the five monthly tables",
"source": "raw"
}
}