-- Shows where rows are growing and how effective aggregation currently is.
SET time_zone = '+00:00';

SELECT table_name,
       table_rows,
       ROUND(data_length/1024/1024,1) AS data_mb,
       ROUND(index_length/1024/1024,1) AS index_mb,
       ROUND((data_length+index_length)/1024/1024,1) AS total_mb
FROM information_schema.tables
WHERE table_schema = DATABASE()
ORDER BY data_length + index_length DESC;

SELECT 'event_count_buckets' AS source,
       COUNT(*) AS rows_24h,
       COALESCE(SUM(cnt),0) AS represented_events_24h,
       ROUND(COALESCE(SUM(cnt),0) / NULLIF(COUNT(*),0), 1) AS events_per_row
FROM event_count_buckets
WHERE bucket_start >= UTC_TIMESTAMP() - INTERVAL 24 HOUR
UNION ALL
SELECT 'event_occurrences',
       COUNT(*),
       COALESCE(SUM(cnt),0),
       ROUND(COALESCE(SUM(cnt),0) / NULLIF(COUNT(*),0), 1)
FROM event_occurrences
WHERE bucket_start >= UTC_TIMESTAMP() - INTERVAL 24 HOUR;

SELECT channel_name, event_id,
       COUNT(*) AS context_rows_24h,
       SUM(cnt) AS represented_events_24h,
       ROUND(SUM(cnt)/NULLIF(COUNT(*),0),1) AS events_per_row
FROM event_occurrences
WHERE bucket_start >= UTC_TIMESTAMP() - INTERVAL 24 HOUR
GROUP BY channel_name, event_id
ORDER BY context_rows_24h DESC
LIMIT 50;