Statistics for the entire archiving period since 2006-01-01
Archive size [PiB]
SELECT to_char(Grand_total/1024^5, 'FM999,999,999,999.000') FROM mars_dataset_details
WHERE name = 'tigge' ORDER BY Date DESC LIMIT 1
Number of fields
SELECT to_char(Number_of_fields, 'FM999,999,999,990') FROM mars_dataset_details
WHERE name = 'tigge' ORDER BY Date DESC LIMIT 1
Statistics for the period since 2014-01-01
Number of active users
SELECT count(DISTINCT auth_user.username) as "Total number of users" FROM auth_user
RIGHT JOIN users_stats_monthly ON users_stats_monthly.username = auth_user.username
WHERE users_stats_monthly.dataset='tigge-global' and users_stats_monthly.month>=date'2006-01-01'
AND auth_user.username IN (
SELECT username
FROM users_stats_monthly
WHERE dataset='tigge-global'
GROUP BY username
HAVING sum(requests) >= 1)
Delivered data volume [TiB]
SELECT to_char(sum(delivered/1024^4), 'FM999,999,999,990.0')FROM datasets_stats_monthly WHERE datasets_stats_monthly.dataset='tigge-global' and datasets_stats_monthly.month>=date'2006-01-01';
Number of retrieved fields
SELECT to_char(sum(fields),'FM999,999,999,999,999')
FROM datasets_stats_monthly
WHERE datasets_stats_monthly.dataset='tigge-global' and datasets_stats_monthly.month>=date'2006-01-01';
Number of requests
SELECT to_char(sum(requests), 'FM999,999,999,999,999')
FROM datasets_stats_monthly
WHERE datasets_stats_monthly.dataset='tigge-global' and datasets_stats_monthly.month>=date'2006-01-01';
Monthly sums
(Monthly statistics are available only since 2015-01-01)
Data volumes
Volume of data retrieved from MARS before post-processing vs volume of data delivered to users after post-processing.
select to_char(month, 'MM/YYYY') as monthyear, to_char(delivered/1024^4, 'FM999,999,999,990') as "delivered" from datasets_stats_monthly where dataset='tigge-global' and month>=date'2015-01-01' order by month ;
select to_char(month, 'MM/YYYY') as monthyear, to_char(retrieved/1024^4, 'FM999,999,999,990') as "retrieved" from datasets_stats_monthly where dataset='tigge-global' and month>=date'2015-01-01' order by month
Delivered data volume (zoom from the previous graph)
select to_char(month, 'MM/YYYY') as monthyear, to_char(delivered/1024^4, 'FM999,999,999,990') as "delivered" from datasets_stats_monthly where dataset='tigge-global' and month>=date'2015-01-01' order by month ;
Number of requests
select to_char(month, 'MM/YYYY') as monthyear, requests as "user requests" from datasets_stats_monthly where dataset='tigge-global' and month>=date'2015-01-01' order by month;
Number of active users
SELECT to_char(month, 'MM/YYYY') as monthyear, count(DISTINCT username) as "active users"
FROM users_stats_monthly
WHERE dataset='tigge-global' AND month>=date'2015-01-01'
AND username IN (
SELECT username
FROM users_stats_monthly
WHERE dataset='tigge-global'
GROUP BY username
HAVING sum(requests) >= 1
)
GROUP BY month
ORDER BY month;
Users per country
as per 2018-06-01
only countries with at least 5 active users are shown
SELECT profile_country.name, count(DISTINCT auth_user.username) as total_users
FROM profile_country
RIGHT JOIN profile_profile ON profile_profile.country_id = profile_country.id
RIGHT JOIN auth_user ON auth_user.id = profile_profile.user_id
RIGHT JOIN users_stats_monthly ON users_stats_monthly.username = auth_user.username
WHERE users_stats_monthly.dataset='tigge-global' and users_stats_monthly.month>=date'2006-01-01'
GROUP BY profile_country.name
HAVING count(DISTINCT auth_user.username)>=5
ORDER BY total_users DESC
At least one active user
At least one active user with colour density depending on the number of active users (from 1 to 742)