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Overview

Statistics for entire archiving period (2013-01-01 - present)

SELECT  to_char(Grand_total/1024^4, 'FM999,999,999,990.9') FROM mars_dataset_details
WHERE name = 'tigge-lam' ORDER BY Date DESC LIMIT 1

SELECT  to_char(

Number_of_fields, 'FM999,999,999,

990.999') FROM mars_dataset_details
WHERE name = 'tigge-lam' ORDER BY Date DESC LIMIT 1

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-lam' and users_stats_monthly.month>=date'20130101'
AND  auth_user.username IN (
      SELECT username                        
      FROM  users_stats_monthly
      WHERE dataset='tigge-lam'
      GROUP BY username
      HAVING sum(requests) >= 1)

SELECT to_char(sum(delivered/1024^4), 'FM999,999,999,990.9')FROM datasets_stats_monthly WHERE datasets_stats_monthly.dataset='tigge-lam' and datasets_stats_monthly.month>=date'20130101';

SELECT to_char(sum(

fields),

'FM999,999,999,999,999')

FROM  datasets_stats_monthly
WHERE datasets_stats_monthly.dataset='tigge-lam' and datasets_stats_monthly.month>=date'20130101';

SELECT to_char(sum(

requests), 'FM999

,999,999,999,999')

FROM  datasets_stats_monthly
WHERE datasets_stats_monthly.dataset='tigge-lam' and datasets_stats_monthly.month>=date'20130101';

Monthly sums

Delivered volume [TB]

Data

• delivered: data volume delivered to user after post-processing(e.g. interpolation)
• retrieved: data volume retrieved from MARS before post-processing
  
  • retrieved data volume should be normally equal or bigger then the delivered one
  • it could be also smaller when user asks for higher then archived grid resolution (resulting in artificially bigger interpolated files - situation which should be rather avoided)

select  to_char(month, 'MM/YYYY') as monthyear, CAST(delivered AS FLOAT)/1024^4 as "data volumedelivered" from datasets_stats_monthly where dataset='tigge-lam' and month>=date'20130101' order by month

User requests

(1 original user request could be split to more resulting  MARS database retrieval requests  shown in the graph below. It depends on MARS data design for given datasets. On average number of the original users requests is about 1/4 of the resulting requests shown here)

 ;
select  to_char(month, 'MM/YYYY') as monthyear, requests CAST(retrieved AS FLOAT)/1024^4 as "retrieved" from datasets_stats_monthly where dataset='tigge-lam' and month>=date'20130101' order by month;

Fields retrieved

(1 field means the retrieved field for given step, level, etc)

Users

• user requests: number of MARS retrieval requests based on the original user request
• active users: users with at least 1 request in given month

select  to_char(month, 'MM/YYYY') as monthyear, fields requests as "user requests" from datasets_stats_monthly where dataset='tigge-lam' and month>=date'20130101' order by month

Users

...

;

SELECT to_char(month, 'MM/YYYY') as monthyear, count(DISTINCT username) as "active users"
FROM  users_stats_monthly 
WHERE dataset='tigge-lam' AND month>=date'20130101' 
AND username IN (
      SELECT username                        
      FROM  users_stats_monthly
      WHERE dataset='tigge-lam'
      GROUP BY username
      HAVING sum(requests) >= 31
      )
GROUP BY month
ORDER BY month;

Users per

...

country

• as per  2018-06-01
• only countries with at least 2 active users are shown

(Users at least with 3 requests ever since)

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-lam' and users_stats_monthly.month>=date'20130101'
GROUP BY profile_country.name
HAVING count(DISTINCT auth_user.username)>=2
ORDER BY total_users DESC;

SELECT * from profile_country limit 100

...

SELECT * from profile_profile limit 100

SELECT * from auth_user limit 100

...

...