I have the following tables:
Episodes:
Clients:
My DAX calculation sums up [Days_epi] unique values, from Episodes tbl, grouping them by [ProgramID_epi], [EpisodeID_epi], [ClientID_epi].
So, the SUM of [Days_epi] = 3 + 5 + 31 + 8 + 15 + 20 + 10 = 92
Here is my working code for this:
DaysSUM =
CALCULATE (
SUMX (
SUMMARIZE (
'Episodes',
'Episodes'[EpisodeID_epi],
'Episodes'[ProgramID_epi],
'Episodes'[ClientID_epi],
'Episodes'[Days_epi]
),
'Episodes'[Days_epi]
),
FILTER (
'Episodes',
'Episodes'[Category_epi] = "Homeless"
)
)
I need to add two advanced filters to the calculation above:
Filter 1 should ONLY KEEP records in Episodes, if the records in the Clients have the difference between [DischDate_clnt] and [AdmDate_clnt] >= 365.
Filter 1 in SQL statement is
DATEDIFF(DAY, [AdmDate_clnt], [DischDate_clnt]) >= 365)
After that, Filter 2 should ONLY KEEP records in Episodes, if the records in the Clients have
[Date_clnt] >= [AdmDate_clnt] + 12 months. (12 month after the Admission Date)
Filter 2 in SQL statement is
[Date_clnt] <= DATEADD(MONTH, 12, [[AdmDate_clnt])
So, after applying those two filters I expect the records 6 and 10 of the Episodes tbl must be excluded (filtered out), because the records 2 and 3 of the Clients tbl (highlighted in green) are not satisfied my Filter 1 / Filter 2.
Here is the final Episodes dataset I should have (without the 2 records in red):
I was starting to update my DAX code as the following (below).
But keep receiving error "Parameter is not the correct type"
enter
DaysSUM_Filters =
CALCULATE (
SUMX (
SUMMARIZE (
'Episodes',
'Episodes'[EpisodeID_epi],
'Episodes'[ProgramID_epi],
'Episodes'[ClientID_epi],
'Episodes'[Days_epi]
),
'Episodes'[Days_epi]
),
FILTER (
'Episodes',
'Episodes'[Category_epi] = "Homeless"
), TREATAS(DATEDIFF('Clients'[AdmDate_clnt],
'Clients'[DischDate_clnt], DAY)>=365,
'Clients'[Date_clnt])
)
Not exactly sure how to set those 2 filters correctly in DAX Power BI, as I
am relatively new to it.
Please help!
I can't say about all the case. But what is obvious is that you use TREATAS in a wrong way. It works like this TREATAS({"Red", "White", "Blue"}, 'Product'[Color]).
In your case
DATEDIFF('Clients'[AdmDate_clnt],
'Clients'[DischDate_clnt], DAY)>=365
will return TRUE or FALSE value. The first argument of TREATAS - is a column or set of columns not a single value.
You can use the filter like this:
FILTER(
'Clients'
,DATEDIFF(
'Clients'[AdmDate_clnt]
,'Clients'[DischDate_clnt]
,DAY
)>=365
)
This will return you a filtered table.
This may work if your tables are linked.
Related
This is my query :
WITH TABLE as (
SELECT distinct STJH.[META_CODE_ORIGINE] AS Salle_TMD_JOUR_HISTORIQUE_ID
,STJH.[STJH_DATE_ACTION]
,STJH.[STJH_TYPE_ACTION]
, STH.ST_ID,
STJH.[STJ_JOUR]
,STJH.[STJ_HEURE_DEBUT]
,STJH.[STJ_HEURE_FIN]
,STH.[META_CODE_ORIGINE] AS SALLE_TMD_HISTORIQUE_ID
,STH.[ST_DATE_DEBUT]
,STH.[ST_DATE_FIN]
,STH.[STH_DATE_ACTION]
,MAX (sth.STH_DATE_ACTION) over (partition by STH.[META_CODE_ORIGINE]) as max_date_action,
FROM [BI_EASILY].[bloc].[D_TMD_JOUR_HISTORIQUE] STJH
left JOIN [BI_EASILY].[bloc].[D_TMD_HISTORIQUE] STH ON STJH.[ST_ID] = STH.[ST_ID]
WHERE STJH.[STJH_TYPE_ACTION] <> 3
AND STJH.ST_ID = 37 and STJH.ST_ID = 37
AND STJ_JOUR = 1 )
select * from table where table.max_date_action <= stjh_date_action
This is my result ( sorry i didn't copy manualy a lot of data)
I want to show only last row whose has max value of STJH_Date_Action. When i will remove my filter « Where STJ_JOUR =1 (Monday). I want to show only one row having STJ_JOUR_VALUE = 1. I tried to do this by this condition « where max_date_action< = STJH_DATE_ACTION » but it doesn’t work. Can you help me please.
for all the records in the result (max_date_action<=stjh_date_action) as you partition the data by (STH.[META_CODE_ORIGINE])
This DAX formula issue is frustrating me to no end so I appreciate any help or another way to look at this.
Both of these formulas calculate the same value and that's been confirmed so don't worry about what the LY_Key actually equals. BUT the one with Variables removes the ability to drill down into separate years in the same table. My problem really exists when using weeks, but it's slightly easier to understand using these tables.
Can you see a difference between these 2 formulas that would remove a drilldown capability? Thank you in advance for any assistance.
---Original
Net Sales Trailing 3 Periods LY:=
CALCULATE (
factSales[Net Sales],
ALL(dimDate),
FILTER (
ALL ( 'dimPeriod' ),
'dimPeriod'[PeriodKey] <= MAX ( 'dimPeriod'[PeriodKey] ) - 14
&& 'dimPeriod'[PeriodKey] >= MAX ( 'dimPeriod'[PeriodKey] ) - 16
)
)
---With Variables
Net Sales Trailing 3 Periods LY:=
VAR
LY_FPW = MAX('dimPeriod'[YYYYFP]) - 100
VAR
LY_Key = MAXX(FILTER('dimPeriod', 'dimPeriod'[YYYYFP] = LY_FPW), 'dimPeriod'[PeriodKey])
RETURN
CALCULATE (
factSales[Net Sales],
ALL(dimDate),
FILTER (
ALL ( 'dimPeriod' ),
'dimPeriod'[PeriodKey] <= LY_Key - 1
&& 'dimPeriod'[PeriodKey] >= LY_Key - 3
)
)
I have a table with different objects and the objects evolve over time. One object is identified by object_number and we can track it with the object_line_number. And every evolution of the object has a status.
I want to calculate the time elapsed between some status.
Below is my table for one object_number "us1":
In yellow are the rowscontaining the starting date. They are found if (status_id = 0 and (old_status <> 0 or object_line_number = 1) and emergency_level = 1).
In green are the rows containing the ending date. They are found if (status_id =2,3,4,5 and old_status = 0).
The column old_status does not exist in the table. This is the status of the previous row (according to the object)line_number). I am retrieving it thanks to the following measure:
old_status = CALCULATE (
MAX(fact_object[status_id]),
FILTER (
ALL(fact_object),
fact_object[object_line_number] = IF(fact_object[object_line_number]=1, fact_object[object_line_number], MAX (fact_object[object_line_number])-1)),
VALUES (fact_object[object_number]))
I am in DirectQuery mode, so a lot of functions are not present for Calculated Columns, that's why I am using Measures.
Once that is done, I want then to be able to get for every green row the date_modification of the previous yellow row.
In this example, the result would be 4/4 then 1. So that I can calculate the time difference between the date_modification of the current green row and the date_modification of the previous yellow row.
So I was thinking of adding a new column named date_received, which is the date_modification of the previous yellow row;
From there, I just have to keep only the green rows and calculate the difference between date_modification and date_received.
My final calcul is actually to have this :
Result = (number of green rows which date difference between date_modification and date_received <= 15 min) / (number of green rows
which DAY(date_modification) = DAY(date_received))
But I don't know how to do it.
I have tried in the same spirit of the old_status measure to do this:
date_received = CALCULATE (
MAX(fact_object[date_modification]),
FILTER (
ALL(fact_object),
(fact_object[object_line_number] = MAX (fact_object[object_line_number])-1) && MY OTHER FILTERS
),
VALUES (fact_object[object_number])
)
But didn't succeed.
In SQL, the equivalent would be like this:
SELECT
SUM(CASE WHEN (DATEDIFF(MINUTE, T.date_received, T.date_planification) <= 15) THEN 1 ELSE 0 END) /
SUM(CASE WHEN (DAY(T.date_received) = DAY(T.date_planification)) THEN 1 ELSE 0 END) as result
FROM (
SELECT *, T.status_id as current_status,
LAG(T.date_modification) OVER(PARTITION BY T.object_number ORDER BY T.object_line_number) as date_received,
T.date_modification as date_planification
FROM
(
select *,
LAG (status_id) OVER(PARTITION BY object_number ORDER BY object_line_number) AS old_status
from dbo.fact_object
) AS T
WHERE ((T.status_id = 0 AND (T.old_status <> 0 OR T.object_line_number = 1) AND T.emergency_level = 1) OR (T.old_status = 0 AND T.status_id IN (2,3,4,5)))--974
) AS T
WHERE old_status = 0
(Well maybe there is a better way to do it in SQL that I've done).
How can I achieve this?
In this case, I would first sort the table by Object then by Object Line number (or Date Modified - but these appear not to change for each row.)
Duplicate the table
Table1 - Add an index starting at 1
Table2 - Add an index starting at 0
From Table1, merge it with table2, using the new index fields
Expand the MergedStatus ID (rename to NextStatusID) and the Object (rename to NextObject) field.
You can now create a new conditional column to compare the two status fields. E.g. Status 2 = If Object = NextObject then [NextStatusID] else null
I used the following query to fetch the overlapping records in SQL:
SELECT QUOTE_ID,FUNCTION_ID,FUNCTION_DT,FUNC_SPACE_ID,FN_START_TIME,FN_END_TIME,DATE_AUTH_LEVEL
FROM R_13_ALL_RESERVED A
WHERE
A.FUNC_SPACE_ID = '401-ZFU-52'
AND A.FUNCTION_DT = TO_DATE('09/03/2015','MM/DD/YYYY')
AND EXISTS ( SELECT 'X'
FROM R_13_ALL_RESERVED B
WHERE A.PROPERTY = B.PROPERTY
AND A.FUNCTION_DT = B.FUNCTION_DT
AND A.FUNCTION_ID <> B.FUNCTION_ID
AND ( ( A.FN_START_TIME > B.FN_START_TIME
AND A.FN_START_TIME < B.FN_END_TIME)
OR ( B.FN_START_TIME > A.FN_START_TIME
AND B.FN_START_TIME < A.FN_END_TIME)
OR ( A.FN_START_TIME = B.FN_START_TIME
AND A.FN_END_TIME = B.FN_END_TIME)
)
)
But eventhough the dates are not overlapping it still returns the records as overlapping.
I am missing some thing here?
Also if the date records overlap, I need to compare the count of function_id records with DATE_AUTH_LEVEL, if 2 function_id records overlap and the count of function_id would be 2 and DATE_AUTH_LEVEL is 1, such record should in the result set.
Please find the data set in SQLFiddle
http://sqlfiddle.com/#!9/95874/1
Desired Output : The SQL should return overlapping FN_START_TIME and FN_END_TIME for a function_space_id and it's function_dt
In the provided example, row 5 and 6 overlap for the function space id '401-ZFU-12' and function_dt 'August, 15 2015' and all others are not overlapping
The simplest predicate (where clause condition) for detecting the overlap of two ranges is to compare the start of the first range with the end of the 2nd range, and the start of the 2nd range with the end of the first range:
WHERE R1.Start_Date <= R2.End_Date
AND R2.Start_Date <= R1.End_Date
As you can see each of the two inequalities looks at a start and end value from separate records (R1 and R2 and then R2 and R1 respectively) all that remains is to add the conditions that will correlate the records, and also ensure that you aren't comparing a row to itself So if you want to find all Common_IDs that have Distinct_IDs with over lapping date ranges:
select *
from Your_Table R1
where exists (select 1 from Your_Table R2
where R1.Common_ID = R2.Common_ID
and R1.Distinct_ID <> R2.Distinct_ID
and R1.Start_Date <= R2.End_Date
and R2.Start_Date <= R1.End_Date)
If there is no Distinct_ID to use, you can use R1.rowid <> R2.rowid in place of R1.Distinct_ID <> R2.Distinct_ID
Here is an approach to troubleshooting the issue on your end.
My first suspicion is that the results of your exists clause are too broad and thus returning rows for every record matching in the outer clause unexpectedly. Likely there are rows that do not fall on the desired date or spaceid that share one component of their interval with your inner criteria.
Inspect the results of the inner select statement (the one within the exists clause) for an example row, exchanging all the 'A' aliased values with actual values from one of the rows returned you did not expect to receive.
Additionally, you can inspect what I think would be a semi join in the execution profile to see what the join criteria are. If you expect it to be filtered by a constant for 'FUNC_SPACE_ID' of '401-ZFU-52', you will discover that it is not.
I have the following table:
I am trying to create an SQL query that returns a table that returns three fields:
Year (ActionDate), Count of Built (actiontype = 12), Count of Lost (actiontype = a few different ones)
Bascially, ActionType is a lookup code. So, I'd get back something like:
YEAR CountofBuilt CountofLost
1905 30 18
1929 12 99
1940 60 1
etc....
I figured this would take two SELECT statements put together with a UNION.
I tried the following below but it only spits back two columns (year and countbuilt). My countLost field doesn't appear
My sql currently (MS Access):
SELECT tblHist.ActionDate, Count(tblHist.ActionDate) as countBuilt
FROM ...
WHERE ((tblHist.ActionType)=12)
GROUP BY tblHist.ActionDate
UNION
SELECT tblHist.ActionDate, Count(tblHist.ActionDate) as countLost
FROM ...
WHERE (((tblHist.ActionType)<>2) AND
((tblHist.ActionType)<>3))
GROUP BY tblHist.ActionDate;
Use:
SELECT h.actiondate,
SUM(IIF(h.actiontype = 12, 1, 0)) AS numBuilt,
SUM(IIF(h.actiontype NOT IN (2,3), 1, 0)) AS numLost
FROM tblHist h
GROUP BY h.actiondate
You should not use UNION for such queries. There are many ways to do what you want, for example
Updated to fit access syntax
SELECT tblHist.ActionDate,
COUNT(SWITCH(tblHist.ActionType = 12,1)) as countBuilt,
COUNT(SWITCH(tblHist.ActionType <>1 OR tblHist.ActionType <>2 OR ...,1)) as countLost
FROM ..
WHERE ....
GROUP BY tblHist.ActionDate