--DECLARE @distinctTargetGroup_id INT --DECLARE @dateRange_start DATETIME --DECLARE @dateRange_end DATETIME --SET @dateRange_start = '2019-01-01' --SET @dateRange_end = '2019-12-31' --SET @distinctTargetGroup_id = 1231 DECLARE @item_id UNIQUEIDENTIFIER -- = 'A89F2CD0-C081-433F-B87D-BC2B8D5151BD'-- '62235614-06F6-4FE8-919D-7BBD609FDC29' SET @dateRange_end = DATEADD(DAY,1,@dateRange_end) CREATE TABLE #users (user_id INT) CREATE TABLE #hlpResult ( item_id UNIQUEIDENTIFIER, itemType_id INT, totalUsers INT, usersExecutedItem INT, avgLearningDurationItem INT, totalLearningDurationItem INT, totalExecutionsItem INT, greenStatuses INT, yellowStatuses INT, redStatuses INT ) -- getting all users for this targetgroup ;WITH TargetGroupUser (user_id) AS ( SELECT DISTINCT UserCn FROM tblUsersTargetGroups INNER JOIN v_Users ON v_Users.intUserCn = tblUsersTargetGroups.UserCn AND tblUsersTargetGroups.targetGroup_id = @distinctTargetGroup_id ) INSERT INTO #users SELECT user_id FROM TargetGroupUser -- getting items for the users of the targetgroup currently assigned ;WITH PotentialItems (item_id, itemType_id) AS ( SELECT DISTINCT v_UsersAssignedItems.item_id, itemType_id FROM v_UsersAssignedItems INNER JOIN #users ON #users.user_id = v_UsersAssignedItems.user_id WHERE itemType_id IN (0,1) AND ISNULL(@item_id,v_UsersAssignedItems.item_id) = v_UsersAssignedItems.item_id ) INSERT INTO #hlpResult SELECT item_id, itemType_id, (SELECT COUNT(*) FROM #users), 0, 0, 0, 0, 0, 0, 0 FROM PotentialItems -- getting the green statuses for those items and users -- getting the yellow statuses for those items and users -- getting the red statuses for those items and users UPDATE #hlpResult SET greenStatuses = calc.greenStatus, yellowStatuses = calc.yellowStatus, redStatuses = calc.redStatus FROM #hlpResult INNER JOIN ( -- for each user of the targetgroups we have to detect the items MAX status for calculation SELECT item_id, SUM(CASE WHEN itemStatus = 4 THEN 1 ELSE 0 END) AS greenStatus, --needed because the MAX logic wouldn't work else SUM(CASE WHEN itemStatus = 1 THEN 1 ELSE 0 END) AS yellowStatus, SUM(CASE WHEN itemStatus = 3 THEN 1 ELSE 0 END) AS redStatus FROM ( -- we have to calculate the max status for the user SELECT MAX(CASE WHEN status = 2 THEN 4 ELSE status END) AS itemStatus, suih.item_id FROM tblStatusUserItemHistory AS suih INNER JOIN #users AS users ON users.user_id = suih.user_id INNER JOIN #hlpResult AS items ON items.item_id = suih.item_id WHERE suih.startDate BETWEEN @dateRange_start AND @dateRange_end GROUP BY suih.user_id, suih.item_id ) AS innerQuery GROUP BY item_id) AS calc ON calc.item_id = #hlpResult.item_id -- getting amount of users called this item UPDATE #hlpResult SET usersExecutedItem = query.usersCount FROM #hlpResult INNER JOIN (SELECT COUNT(*) usersCount, item_id FROM ( SELECT DISTINCT suih.item_id, suih.user_id FROM tblStatusUserItemHistory AS suih INNER JOIN #users ON #users.user_id = suih.user_id INNER JOIN #hlpResult ON #hlpResult.item_id = suih.item_id WHERE suih.startDate BETWEEN @dateRange_start AND @dateRange_end GROUP BY suih.item_id, suih.user_id ) AS innerQuery GROUP BY item_id) AS query ON query.item_id = #hlpResult.item_id -- getting total calls of the WBTs UPDATE #hlpResult SET totalExecutionsItem = ISNULL(( SELECT COUNT(*) FROM tblStatsThemeSessions INNER JOIN #users ON #users.user_id = tblStatsThemeSessions.user_id WHERE theme_id = #hlpResult.item_id AND tblStatsThemeSessions.startTime BETWEEN @dateRange_start AND @dateRange_end GROUP BY theme_id),0) WHERE #hlpResult.itemType_id = 1 -- getting total learning duration for the WBTs UPDATE #hlpResult SET totalLearningDurationItem = ISNULL(( SELECT SUM(tblStatsThemeSessions.durationSeconds) FROM tblStatsThemeSessions INNER JOIN #users ON #users.user_id = tblStatsThemeSessions.user_id WHERE theme_id = #hlpResult.item_id AND tblStatsThemeSessions.startTime BETWEEN @dateRange_start AND @dateRange_end GROUP BY theme_id),0) WHERE #hlpResult.itemType_id = 1 -- getting avg learning duration for the WBT and user UPDATE #hlpResult SET avgLearningDurationItem = ISNULL(( SELECT AVG(tblStatsThemeSessions.durationSeconds) FROM tblStatsThemeSessions INNER JOIN #users ON #users.user_id = tblStatsThemeSessions.user_id WHERE theme_id = #hlpResult.item_id AND tblStatsThemeSessions.startTime BETWEEN @dateRange_start AND @dateRange_end GROUP BY theme_id),0) WHERE #hlpResult.itemType_id = 1 -- getting total calls of the Tests UPDATE #hlpResult SET totalExecutionsItem = ISNULL(( SELECT COUNT(*) FROM tblTasTestSessions INNER JOIN #users ON #users.user_id = tblTasTestSessions.user_id WHERE test_id = #hlpResult.item_id AND tblTasTestSessions.endDate BETWEEN @dateRange_start AND @dateRange_end GROUP BY test_id),0) WHERE #hlpResult.itemType_id = 0 -- getting total learning time for the test in minutes UPDATE #hlpResult SET totalLearningDurationItem = ISNULL(( SELECT SUM(DATEDIFF(MINUTE, startdate, enddate)) FROM tblTasTestSessions INNER JOIN #users ON #users.user_id = tblTasTestSessions.user_id WHERE test_id = #hlpResult.item_id AND tblTasTestSessions.endDate BETWEEN @dateRange_start AND @dateRange_end GROUP BY test_id),0) WHERE #hlpResult.itemType_id = 0 -- getting avg learning duration for the WBT and user UPDATE #hlpResult SET avgLearningDurationItem = ISNULL(( SELECT AVG(DATEDIFF(MINUTE, startdate, endDate)) FROM tblTasTestSessions INNER JOIN #users ON #users.user_id = tblTasTestSessions.user_id WHERE test_id = #hlpResult.item_id AND tblTasTestSessions.endDate BETWEEN @dateRange_start AND @dateRange_end GROUP BY test_id),0) WHERE #hlpResult.itemType_id = 0 DECLARE @itemMapping TABLE (id INT, title NVARCHAR(200)) INSERT INTO @itemMapping VALUES (0,'Test') INSERT INTO @itemMapping VALUES (1,'Lernprogramm') INSERT INTO @itemMapping VALUES (2,'Seminar') INSERT INTO @itemMapping VALUES (6,'Dokument') INSERT INTO @itemMapping VALUES (8,'Seminartitel') INSERT INTO @itemMapping VALUES (1001,'Modul') -- this is the output SELECT tblItems.title AS 'Baustein Titel', types.title AS 'Baustein Typ', #hlpResult.totalUsers AS 'Anzahl User in Zielgruppe', #hlpResult.usersExecutedItem AS 'Anzahl der tatsächlichen Nutzer', CASE WHEN #hlpResult.itemType_id IN (0,1) THEN #hlpResult.avgLearningDurationItem / 60 ELSE 0 END AS 'Durchschnittliche Gesamtbearbeitungszeit pro Benutzer (min)', CASE WHEN #hlpResult.itemType_id IN (0,1) THEN #hlpResult.totalLearningDurationItem / 60 ELSE 0 END AS 'Gesamtbearbeitungszeit des Bausteins (min)', #hlpResult.totalExecutionsItem AS 'Anzahl Aufrufe pro Nutzer', ISNULL(#hlpResult.greenStatuses, 0.0) AS 'Bearbeitungsstatus (grün) tatsächliche Nutzer', ISNULL(#hlpResult.yellowStatuses, 0.0) AS 'Bearbeitungsstatus (gelb) tatsächliche Nutzer', ISNULL(#hlpResult.redStatuses, 0.0) AS 'Bearbeitungsstatus (rot) tatsächliche Nutzer' FROM #hlpResult INNER JOIN tblItems ON tblItems.id = #hlpResult.item_id INNER JOIN @itemMapping AS types ON types.id = tblItems.itemType_id ORDER BY tblItems.itemType_id, tblItems.title -- cleanup queries DROP TABLE #hlpResult DROP TABLE #users SELECT id, title FROM tblTargetGroups where mandator_id = @current_mandator_id order by title