PHPMem v2.0.1
Version
1.6.45
Uptime
17 days 2 hours 26 minutes 55 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
14 / 1 024 max
Total
195 017
Rejected
0
llm:9dc16facab4b9eac35def73316a2786ed00058afb4a3a907a11fd0788083f62e
Edit
{
"action": "tool_call",
"reasoning": "My previous reply cited figures from steps I can't see in the current evidence, so I'm re-running a single query to ground the missing-value counts (NULL or blank) per column and per month.",
"tool": "query_sql",
"args": {
"sql": "WITH u AS (SELECT 'Jan' AS m, \"Company Name\" AS cn, CAST(Founded AS VARCHAR) AS f, Location AS l, Sector AS s, \"What it does\" AS w, Founders AS fo, Investor AS i, Amount AS a, Stage AS st FROM raw.\"Indian Startups _ Funding Investors Data January 2022\" UNION ALL SELECT 'Feb', \"Company Name\", CAST(Founded AS VARCHAR), Location, Sector, \"What it does\", Founders, Investor, Amount, Stage FROM raw.\"Indian Startups _ Funding Investors Data February 2022\" UNION ALL SELECT 'Mar', \"Company Name\", CAST(Founded AS VARCHAR), Location, Sector, \"What it does\", Founders, Investor, Amount, Stage FROM raw.\"Indian Startups _ Funding Investors Data March 2022\" UNION ALL SELECT 'Apr', \"Company Name\", CAST(Founded AS VARCHAR), Location, Sector, \"What it does\", Founders, Investor, Amount, Stage FROM raw.\"Indian Startups _ Funding Investors Data April 2022\" UNION ALL SELECT 'May', \"Company Name\", CAST(Founded AS VARCHAR), Location, Sector, \"What it does\", Founders, Investor, Amount, Stage FROM raw.\"Indian Startups _ Funding Investors Data May 2022\") SELECT COALESCE(m, 'ALL') AS month, COUNT(*) AS total_rows, SUM(CASE WHEN cn IS NULL OR TRIM(cn)='' THEN 1 ELSE 0 END) AS company_name_missing, SUM(CASE WHEN f IS NULL OR TRIM(f)='' THEN 1 ELSE 0 END) AS founded_missing, SUM(CASE WHEN l IS NULL OR TRIM(l)='' THEN 1 ELSE 0 END) AS location_missing, SUM(CASE WHEN s IS NULL OR TRIM(s)='' THEN 1 ELSE 0 END) AS sector_missing, SUM(CASE WHEN w IS NULL OR TRIM(w)='' THEN 1 ELSE 0 END) AS what_it_does_missing, SUM(CASE WHEN fo IS NULL OR TRIM(fo)='' THEN 1 ELSE 0 END) AS founders_missing, SUM(CASE WHEN i IS NULL OR TRIM(i)='' THEN 1 ELSE 0 END) AS investor_missing, SUM(CASE WHEN a IS NULL OR TRIM(a)='' THEN 1 ELSE 0 END) AS amount_missing, SUM(CASE WHEN st IS NULL OR TRIM(st)='' THEN 1 ELSE 0 END) AS stage_missing FROM u GROUP BY ROLLUP(m) ORDER BY CASE COALESCE(m,'ALL') WHEN 'Jan' THEN 1 WHEN 'Feb' THEN 2 WHEN 'Mar' THEN 3 WHEN 'Apr' THEN 4 WHEN 'May' THEN 5 ELSE 6 END",
"purpose": "Count NULL/blank values in every business column, per month and overall"
}
}