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Table of Contents

Overview

Section
bordertrue


Column


Panel

Statistics for the entire archiving period since 2015-05-01

Archive size [TiB]


SQL
border0
noDataErrortrue
enableSortingfalse
columnStylesfont-size: 1.0em
rowOrientationhorizontal
expandArrayfalse
stylefumble:0
convertNullfalse
idmydata3
dataSourcemars_apistats_new
enableHighlightingfalse
tablefalse
retainRowStyleOrderfalse
SELECT  to_char(Grand_total/1024^4, 'FM999,999,999,990.9') FROM mars_dataset_details
WHERE name = 's2s' ORDER BY Date DESC LIMIT 1


Number of  fields


SQL
border0
noDataErrortrue
enableSortingfalse
columnStylesfont-size: 1.0em
rowOrientationhorizontal
expandArrayfalse
stylefumble:0
convertNullfalse
idmydata3
dataSourcemars_apistats_new
enableHighlightingfalse
tablefalse
retainRowStyleOrderfalse
SELECT  to_char(Number_of_fields, 'FM999,999,999,990.999') FROM mars_dataset_details
WHERE name = 's2s' ORDER BY Date DESC LIMIT 1


Last updated: 

SQL
border1
noDataErrortrue
enableSortingfalse
columnStylesfont-size: 1.0em
rowOrientationhorizontal
expandArrayfalse
stylefumble:0
convertNullfalse
idmydata3
dataSourcemars_apistats_new
enableHighlightingfalse
tablefalse
retainRowStyleOrderfalse
SELECT date FROM mars_dataset_details
WHERE name = 's2s' ORDER BY Date DESC LIMIT 1




Column

Statistics for the period since 2015-05-01

Panel


Number of active users


SQL
dataSourcemars_apistats_new
tablefalse
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='s2s' and users_stats_monthly.month>=date'2015-01-01'
AND  auth_user.username IN (
      SELECT username                        
      FROM  users_stats_monthly
      WHERE dataset='s2s'
      GROUP BY username
      HAVING sum(requests) >= 1)


Delivered data volume [TiB]


SQL
dataSourcemars_apistats_new
tablefalse
SELECT to_char(sum(delivered/1024^4), 'FM999,999,999,990.9')FROM datasets_stats_monthly WHERE datasets_stats_monthly.dataset='s2s' and datasets_stats_monthly.month>=date'2015-01-01';


Number of retrieved fields


SQL
border0
noDataErrortrue
enableSortingfalse
columnStylesfont-size: 1.0em
rowOrientationhorizontal
expandArrayfalse
stylefumble:0
convertNullfalse
idmydata3
dataSourcemars_apistats_new
enableHighlightingfalse
tablefalse
retainRowStyleOrderfalse
SELECT to_char(sum(fields),'FM999,999,999,999,999')
FROM  datasets_stats_monthly
WHERE datasets_stats_monthly.dataset='s2s' and datasets_stats_monthly.month>=date'2015-01-01';


Number of requests


SQL
border0
noDataErrortrue
enableSortingfalse
columnStylesfont-size: 1.0em
rowOrientationhorizontal
expandArrayfalse
stylefumble:0
convertNullfalse
idmydata3
dataSourcemars_apistats_new
enableHighlightingfalse
tablefalse
retainRowStyleOrderfalse
SELECT to_char(sum(requests), 'FM999,999,999,999,999')
FROM  datasets_stats_monthly
WHERE datasets_stats_monthly.dataset='s2s' and datasets_stats_monthly.month>=date'2015-01-01';


Last updated: 

SQL
border0
noDataErrortrue
enableSortingfalse
columnStylesfont-size: 1.0em
rowOrientationhorizontal
expandArrayfalse
stylefumble:0
convertNullfalse
idmydata3
dataSourcemars_apistats_new
enableHighlightingfalse
tablefalse
retainRowStyleOrderfalse
SELECT to_char( datasets_stats_monthly.month, 'YYYY-MM-dd') FROM  datasets_stats_monthly WHERE dataset='s2s' order by datasets_stats_monthly.month desc LIMIT 1;




Graphs


Expand
titleMonthly sums

Data volumes

Volume of data retrieved from MARS before post-processing vs volume of data delivered to users after post-processing.

Chart
showShapesfalse
timePeriodQuarter
width1200
categoryLabelPositionup45
dataOrientationvertical
typebar
yLabelTiB
height400


SQL
idmydata
dataSourcemars_apistats_new
select  to_char(month, 'MM/YYYY') as monthyear, to_char(delivered/1024^4, 'FM999,999,999,990.9999') as "delivered" from datasets_stats_monthly where dataset='s2s' and month>=date'2015-05-01' order by month ;
select  to_char(month, 'MM/YYYY') as monthyear, to_char(retrieved/1024^4, 'FM999,999,999,990.9999') as "retrieved" from datasets_stats_monthly where dataset='s2s' and month>=date'2015-05-01' order by month


Number of requests

Chart
showShapesfalse
width1200
categoryLabelPositionup45
dataOrientationvertical
typebar
yLabelNr of requests
colors#FFAB00
height300


SQL
idmydata
dataSourcemars_apistats_new
select  to_char(month, 'MM/YYYY') as monthyear, requests as "user requests" from datasets_stats_monthly where dataset='s2s' and month>=date'2015-05-01' order by month;


Number of active users

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


SQL
idmydata
dataSourcemars_apistats_new
SELECT to_char(month, 'MM/YYYY') as monthyear, count(DISTINCT username) as "active users"
FROM  users_stats_monthly 
WHERE dataset='s2s' AND month>=date'2015-05-01' 
AND username IN (
      SELECT username                        
      FROM  users_stats_monthly
      WHERE dataset='s2s'
      GROUP BY username
      HAVING sum(requests) >= 1
      )
GROUP BY month
ORDER BY month;




Expand
titleYearly sums

Data volumes

Volume of data retrieved from MARS before post-processing vs volume of data delivered to users after post-processing.

Chart
showShapesfalse
timePeriodQuarter
width1200
categoryLabelPositionup45
dataOrientationvertical
typebar
yLabelTiB
height400


SQL
idmydata
dataSourcemars_apistats_new
select  to_char(month, 'YYYY') as year, to_char(sum(delivered/1024^4), 'FM999,999,999,990.9999') as "delivered" from datasets_stats_monthly where dataset='s2s' and month>=date'2015-01-01' group by year order by year ;
select  to_char(month, 'YYYY') as year, to_char(sum(retrieved/1024^4), 'FM999,999,999,990.9999') as "retrieved" from datasets_stats_monthly where dataset='s2s' and month>=date'2015-01-01' group by year order by year


Number of requests

Chart
showShapesfalse
width1200
categoryLabelPositionup45
dataOrientationvertical
typebar
yLabelNr of requests
colors#FFAB00
height300


SQL
idmydata
dataSourcemars_apistats_new
select  to_char(month, 'YYYY') as year, sum(requests) as "user requests" from datasets_stats_monthly where dataset='s2s' and month>=date'2015-01-01' group by year order by year;


Number of active users

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


SQL
idmydata
dataSourcemars_apistats_new
SELECT to_char(month, 'YYYY') as year, count(DISTINCT username) as "active users"
FROM  users_stats_monthly 
WHERE dataset='s2s' AND month>=date'2015-01-01' 
AND username IN (
      SELECT username                        
      FROM  users_stats_monthly
      WHERE dataset='s2s'
      GROUP BY username
      HAVING sum(requests) >= 1
      )
GROUP BY year
ORDER BY year;



Users per country

  • only countries with at least 5 active users are shown
Chart
stackedtrue
width900
dataOrientationvertical
opacity75
height700


SQL
idmydata
dataSourcemars_apistats_new
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='s2s' and users_stats_monthly.month>=date'2015-05-01'
GROUP BY profile_country.name
HAVING count(DISTINCT auth_user.username)>=5
ORDER BY total_users DESC




Section


Column

Image Added

At least one active user (as per June 2018)


Column

Image Added

At least one active user with colour density depending on the number of active users (from 1 to 125)  (as per June 2018)

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