PHPMem v2.0.1
Version
1.6.45
Uptime
18 days 1 hour 51 minutes 13 seconds
Memory
Total
512MB
Used
12,72MB (2.48%)
Free
499,28MB
Keys
Current
14 060
Total (since start)
40 994
Evictions
0
Reclaimed
760
Expired Unfetched
0
Evicted Unfetched
0
Connections
Current
3 / 1 024 max
Total
243 212
Rejected
0
llm:006ee41d3ce455eca804a0621f1e1ce91cf4447b9cb7af62c0a5b2945e314e9b
Edit
{
"action": "tool_call",
"reasoning": "My previous reply was malformed. I'm re-running the missing-value profile across all five monthly tables in one UNION query, counting blank or NULL values per column.",
"tool": "query_sql",
"args": {
"sql": "SELECT 'January' AS tbl, COUNT(*) AS n, COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Company Name\" AS VARCHAR)),'')) AS company_name, COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Founded\" AS VARCHAR)),'')) AS founded, COUNT(*)-COUNT(NULLIF(TRIM(\"Location\"),'')) AS location, COUNT(*)-COUNT(NULLIF(TRIM(\"Sector\"),'')) AS sector, COUNT(*)-COUNT(NULLIF(TRIM(\"What it does\"),'')) AS what_it_does, COUNT(*)-COUNT(NULLIF(TRIM(\"Founders\"),'')) AS founders, COUNT(*)-COUNT(NULLIF(TRIM(\"Investor\"),'')) AS investor, COUNT(*)-COUNT(NULLIF(TRIM(\"Amount\"),'')) AS amount, COUNT(*)-COUNT(NULLIF(TRIM(\"Stage\"),'')) AS stage FROM raw.\"Indian Startups _ Funding Investors Data January 2022\" UNION ALL SELECT 'February', COUNT(*), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Company Name\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Founded\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Location\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Sector\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"What it does\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Founders\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Investor\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Amount\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Stage\"),'')) FROM raw.\"Indian Startups _ Funding Investors Data February 2022\" UNION ALL SELECT 'March', COUNT(*), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Company Name\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Founded\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Location\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Sector\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"What it does\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Founders\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Investor\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Amount\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Stage\"),'')) FROM raw.\"Indian Startups _ Funding Investors Data March 2022\" UNION ALL SELECT 'April', COUNT(*), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Company Name\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Founded\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Location\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Sector\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"What it does\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Founders\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Investor\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Amount\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Stage\"),'')) FROM raw.\"Indian Startups _ Funding Investors Data April 2022\" UNION ALL SELECT 'May', COUNT(*), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Company Name\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Founded\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Location\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Sector\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"What it does\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Founders\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Investor\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Amount\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Stage\"),'')) FROM raw.\"Indian Startups _ Funding Investors Data May 2022\"",
"purpose": "Count blank/NULL values per column in each monthly funding table",
"source": "raw"
}
}