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Table of Contents

Overview

  • actual archive size: XXX
  • actual number of registered users: XXX

SQL
rowStylesbackground:#B8D1F3,background:#DAE5F4,background:#B8D1F3
noDataErrortrue
enableSortingfalse
columnStylesfont-size: 1.0em
rowOrientationhorizontal
expandArrayfalse
stylefumble:0
convertNullfalse
idmydata3
class@default testing
dataSourcemars_apistats
enableHighlightingfalse
retainRowStyleOrderfalse
SELECT rtrim(to_char(sum(delivered/1024^4), 'FM999999999999990.999'), '.') as "Delivered data volume [TB]", to_char(sum(fields),'FM999,999,999,999,999')  as "Number of retrieved fields", to_char(sum(requests), 'FM999,999,999,999,999') as "Number of user requests"
FROM  datasets_stats_monthly
WHERE datasets_stats_monthly.dataset='yopp' and datasets_stats_monthly.month>=date'20170701';

*valid for the whole archiving period since 2015-05-01

Monthly sums

Data [TB]

  • delivered: data volume delivered to user after post-processing(e.g. interpolation) applied if asked for
  • 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)
Chart
showShapesfalse
timePeriodQuarter
width1200
categoryLabelPositionup45
dataOrientationvertical
typebar
yLabelTB
height400


SQL
idmydata
dataSourcemars_apistats
select  to_char(month, 'MM/YYYY') as monthyear, CAST(delivered AS FLOAT)/1024^4 as "delivered" from datasets_stats_monthly where dataset='yopp' and month>=date'20170101' order by month ;
select  to_char(month, 'MM/YYYY') as monthyear, CAST(retrieved AS FLOAT)/1024^4 as "retrieved" from datasets_stats_monthly where dataset='yopp' and month>=date'20170101' order by month


Users

  • user requests: number of MARS retrieval requests based on original user request (each user request leads usually to more MARS retrieval requests depending on the required period, parameters, level types etc)
  • active users: users with at least 3 requests in given month
Chart
showShapesfalse
width1200
categoryLabelPositionup45
dataOrientationvertical
typebar
yLabelNr of requests
colors#FFAB00
height300


SQL
idmydata
dataSourcemars_apistats
select  to_char(month, 'MM/YYYY') as monthyear, requests as "user requests" from datasets_stats_monthly where dataset='yopp' and month>=date'20170701' order by month;



Chart
showShapesfalse
width1200
categoryLabelPositionup45
dataOrientationvertical
typebar
yLabelNr of users
colors#36B37E
height300


SQL
idmydata
dataSourcemars_apistats
SELECT to_char(month, 'MM/YYYY') as monthyear, count(DISTINCT username) as "active users"
FROM  users_stats_monthly 
WHERE dataset='yopp' AND month>=date'20170701' 
AND username IN (
      SELECT username                        
      FROM  users_stats_monthly
      WHERE dataset='yopp'
      GROUP BY username
      HAVING sum(requests) >= 3
      )
GROUP BY month
ORDER BY month;


Users per country [%]

  • as per 1.5. 2018
  • only countries with more than XXX are shown
Chart
stackedtrue
width900
dataOrientationvertical
opacity75
height700


SQL
idmydata
dataSourcemars_apistats
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='yopp' and users_stats_monthly.month>=date'20170701'
GROUP BY profile_country.name
HAVING sum(users_stats_monthly.requests) > 5000
ORDER BY total_users DESC