Overview
Section |
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Panel |
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Statistics for entire archiving period (2013-01-01 - present) |
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...
section |
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| Archive size [TBTiB] |
SQL |
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border | 0 |
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noDataError | true |
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enableSorting | false |
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columnStyles | font-size: 1.0em |
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rowOrientation | horizontal |
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expandArray | false |
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style | fumble:0 |
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convertNull | false |
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id | mydata3 |
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dataSource | mars_apistats |
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enableHighlighting | false |
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table | false |
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retainRowStyleOrder | false |
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| SELECT to_char(Grand_total/1024^4, 'FM999,999,999,990.9999') FROM mars_dataset_details
WHERE name = 'tigge-lam' ORDER BY Date DESC LIMIT 1 |
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Number of fields |
SQL |
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border | 0 |
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noDataError | true |
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enableSorting | false |
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columnStyles | font-size: 1.0em |
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rowOrientation | horizontal |
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expandArray | false |
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style | fumble:0 |
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convertNull | false |
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id | mydata3 |
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dataSource | mars_apistats |
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enableHighlighting | false |
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table | false |
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retainRowStyleOrder | false |
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| 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 |
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1TB = 10244 bytes
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Statistics for the period 2014-01-01 - present (earlier statistics not available) Number of of active users |
SQL |
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dataSource | mars_apistats |
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table | false |
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| 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'201301012013-01-01'
AND auth_user.username IN (
SELECT username
FROM users_stats_monthly
WHERE dataset='tigge-lam'
GROUP BY username
HAVING sum(requests) >= 1) |
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Delivered data volume [TBGiB] |
SQL |
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dataSource | mars_apistats |
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table | false |
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| SELECT to_char(sum(delivered/1024^41024^3), 'FM999,999,999,990.9')FROM datasets_stats_monthly WHERE datasets_stats_monthly.dataset='tigge-lam' and datasets_stats_monthly.month>=date'201301012013-01-01'; |
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Number of retrieved fields |
SQL |
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border | 0 |
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noDataError | true |
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enableSorting | false |
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columnStyles | font-size: 1.0em |
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rowOrientation | horizontal |
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expandArray | false |
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style | fumble:0 |
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convertNull | false |
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id | mydata3 |
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dataSource | mars_apistats |
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enableHighlighting | false |
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table | false |
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retainRowStyleOrder | false |
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| 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'201301012013-01-01'; |
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Number of user requests |
SQL |
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border | 0 |
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noDataError | true |
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enableSorting | false |
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columnStyles | font-size: 1.0em |
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rowOrientation | horizontal |
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expandArray | false |
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style | fumble:0 |
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convertNull | false |
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id | mydata3 |
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dataSource | mars_apistats |
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enableHighlighting | false |
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table | false |
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retainRowStyleOrder | false |
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| 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'201301012013-01-01'; |
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Monthly sums
Data
...
volumes
...
Volume of data
retrieved from MARS before post-processing
...
vs volume of data delivered to users after post-processing.
Chart |
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showShapes | false |
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timePeriod | Quarter |
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width | 1200 |
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categoryLabelPosition | up45 |
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dataOrientation | vertical |
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type | bar |
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yLabel | TBTiB |
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height | 400 |
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SQL |
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id | mydata |
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dataSource | mars_apistats |
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| select to_char(month, 'MM/YYYY') as monthyear, CAST(delivered AS FLOAT)/1024^4 as "delivered" from datasets_stats_monthly where dataset='tigge-lam' and month>=date'201301012013-01-01' 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='tigge-lam' and month>=date'201301012013-01-01' order by month |
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Users
...
...
Number of requests
Chart |
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showShapes | false |
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width | 1200 |
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categoryLabelPosition | up45 |
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dataOrientation | vertical |
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type | bar |
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yLabel | Nr of requests |
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colors | #FFAB00 |
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height | 300 |
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SQL |
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id | mydata |
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dataSource | mars_apistats |
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| select to_char(month, 'MM/YYYY') as monthyear, requests as "user requests" from datasets_stats_monthly where dataset='tigge-lam' and month>=date'201301012013-01-01' order by month; |
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Number of active users
Chart |
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showShapes | false |
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width | 1200 |
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categoryLabelPosition | up45 |
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dataOrientation | vertical |
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type | bar |
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yLabel | Nr of users |
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colors | #36B37E |
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height | 300 |
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SQL |
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id | mydata |
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dataSource | mars_apistats |
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| 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'201301012013-01-01'
AND username IN (
SELECT username
FROM users_stats_monthly
WHERE dataset='tigge-lam'
GROUP BY username
HAVING sum(requests) >= 1
)
GROUP BY month
ORDER BY month; |
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...
- as per 2018-06-01
- only countries with at least 2 5 active users are shown
Chart |
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stacked | true |
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width | 900 |
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dataOrientation | vertical |
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opacity | 75 |
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height | 700 |
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SQL |
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id | mydata |
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dataSource | mars_apistats |
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| 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'201301012013-01-01'
GROUP BY profile_country.name
HAVING count(DISTINCT auth_user.username)>=21
ORDER BY total_users DESC |
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...