Basic stats (2019-09-23): SELECT COUNT(*) FROM cdx WHERE NOT EXISTS (SELECT grobid.sha1hex FROM grobid WHERE cdx.sha1hex = grobid.sha1hex); => 28,023,760 => Time: 253897.213 ms (04:13.897) SELECT COUNT(DISTINCT sha1hex) FROM cdx WHERE NOT EXISTS (SELECT grobid.sha1hex FROM grobid WHERE cdx.sha1hex = grobid.sha1hex); => 22,816,087 => Time: 287097.944 ms (04:47.098) SELECT COUNT(*) FROM grobid. => 56,196,992 SELECT COUNT(DISTINCT sha1hex) FROM cdx; => 64,348,277 => Time: 572383.931 ms (09:32.384) SELECT COUNT(*) FROM cdx; => 74,796,777 SELECT mimetype, COUNT(*) FROM cdx GROUP BY mimetype ORDER BY COUNT(*) DESC; => Time: 189067.335 ms (03:09.067) mimetype | count ------------------------+---------- application/pdf | 51049905 text/html | 24841846 text/xml | 524682 application/postscript | 81009 (4 rows) Time: 189067.335 ms (03:09.067) SELECT status_code, COUNT(*) FROM grobid GROUP BY status_code ORDER BY count(*) DESC; status_code | count -------------+---------- 200 | 56196992 compare with older sandcrawler/output-prod/2019-05-28-1920.35-statuscodecount: 200 49567139 400 3464503 409 691917 500 247028 503 123 SELECT row_to_json(cdx) FROM cdx LIMIT 5; SELECT row_to_json(r) FROM ( SELECT url, datetime FROM cdx ) r LIMIT 5; More stats (2019-12-27): SELECT mimetype, COUNT(*) FROM file_meta GROUP BY mimetype ORDER BY COUNT(*) DESC LIMIT 20; SELECT SUM(size_bytes) FROM file_meta; "Last 24 hour progress": # "problem domains" and statuses SELECT domain, status, COUNT((domain, status)) FROM (SELECT status, updated, substring(terminal_url FROM '[^/]+://([^/]*)') AS domain FROM ingest_file_result) t1 WHERE t1.domain != '' AND t1.status != 'success' AND t1.updated >= NOW() - '1 day'::INTERVAL GROUP BY domain, status ORDER BY COUNT DESC LIMIT 10; # "what type of errors" SELECT ingest_type, status, COUNT(*) FROM ingest_file_result WHERE updated >= NOW() - '1 day'::INTERVAL GROUP BY ingest_type, status ORDER BY COUNT DESC LIMIT 25; # "throughput per day for last N days" SELECT ingest_type, date(updated), COUNT(*) as total, COUNT(CASE status WHEN 'success' THEN 1 ELSE null END) as success FROM ingest_file_result WHERE updated >= NOW() - '1 month'::INTERVAL GROUP BY ingest_type, date(updated) ORDER BY date(updated) DESC; ## Parse URLs One approach is to do regexes, something like: SELECT substring(column_name FROM '[^/]+://([^/]+)/') AS domain_name FROM table_name; Eg: SELECT DISTINCT(domain), COUNT(domain) FROM (select substring(base_url FROM '[^/]+://([^/]*)') as domain FROM ingest_file_result) t1 WHERE t1.domain != '' GROUP BY domain ORDER BY COUNT DESC LIMIT 10; Or: SELECT domain, status, COUNT((domain, status)) FROM (SELECT status, substring(terminal_url FROM '[^/]+://([^/]*)') AS domain FROM ingest_file_result) t1 WHERE t1.domain != '' AND t1.status != 'success' GROUP BY domain, status ORDER BY COUNT DESC LIMIT 10; Can also do some quick lookups for a specific domain and protocol like: SELECT * FROM ingest_file_result WHERE terminal_url LIKE 'https://insights.ovid.com/%' LIMIT 10;