BULKLONG_LIMIT=8000
BULKSHORT_LIMIT=2000
BLOCK_UPPER=19000
+BLOCK_LOWER=4000
BLOCK_LOADFAC=300
BULK_LOADFAC=100
+BULK_LOWER=1500
#
# END OF DEFAULT SETTINGS
# determine current load
fd = open("/proc/loadavg")
-avgload = int(float(fd.readline().split()[1]))
+avgload = int(float(fd.readline().split()[2]))
fd.close()
# read the previous blocklist
# current number of bulks
numbulks = len(prevbulks)
-BLOCK_LIMIT = BLOCK_UPPER - BLOCK_LOADFAC * (numbulks - 30)
-BULKLONG_LIMIT = BULKLONG_LIMIT - BULK_LOADFAC * (avgload - 16)
+BLOCK_LIMIT = max(BLOCK_LOWER, BLOCK_UPPER - BLOCK_LOADFAC * (numbulks - 27))
+BULKLONG_LIMIT = max(BULK_LOWER, BULKLONG_LIMIT - BULK_LOADFAC * (avgload - 14))
conn = psycopg2.connect('dbname=nominatim')
cur = conn.cursor()
cur.execute("""
SELECT ipaddress, max(count) FROM
((SELECT * FROM
- (SELECT ipaddress, sum(CASE WHEN type = 'search' THEN 3 ELSE 1 END) as count FROM new_query_log
+ (SELECT ipaddress, sum(case when endtime is null then 1 else 1+date_part('epoch',endtime-starttime) end) as count FROM new_query_log
WHERE starttime > now() - interval '1 hour' GROUP BY ipaddress) as i
WHERE count > %s)
UNION
(SELECT ipaddress, count * 4 FROM
- (SELECT ipaddress, sum(CASE WHEN type = 'search' THEN 2 ELSE 1 END) as count FROM new_query_log
+ (SELECT ipaddress, sum(case when endtime is null then 1 else 1+date_part('epoch',endtime-starttime) end) as count FROM new_query_log
WHERE starttime > now() - interval '10 min' GROUP BY ipaddress) as i
WHERE count > %s)) as o
GROUP BY ipaddress