I am new to SSRS.
I have a dataset, my dataset brings data from a stored procedure.
one of the parameters of my sp is StartDate and another one is EndDate. Their type is datetime
And the table has a dateTime Column called Date.
I have two gauges and I wanna bind integer values to my gauges.
First one is the count of rows where Date < DateAdd(DateInterval.Hour,24,StartDate)
and te second is count of rows where Date > DateAdd(DateInterval.Hour,24,StartDate)
How will I write the exact script. Whatever I wrote is not working.
I appreciate any help, thanks.
You need to set the gauge Pointer value as something like:
=Sum(IIf(DateDiff(DateInterval.Day, Parameters!StartDate.Value, Fields!Date.Value) >= 1
, 1
, 0))
This is counting rows where the time difference is less than a day compared to the parameter StartDate. Just change it slightly to get those where the difference is at least a day:
=Sum(IIf(DateDiff(DateInterval.Day, Parameters!StartDate.Value, Fields!Date.Value) >= 1
, 0
, 1))
Worked fine for me in a quick test:
Related
I need to get data from DB scadalts from last day.
I have data in table pointValues where is column pointValue and ts but is not timestamp.
Column ts is type BIGINT(20)
Checking ts is unixtime
SELECT
pointValue,
ts,
from_unixtime(ts),
YEAR(from_unixtime(ts)),
MONTH(from_unixtime(ts)),
DAY(from_unixtime(ts))
FROM
pointValues;
The result null is wrong is not unixtime.
I don't know how to create condition where because - I don't know how to interpret value in column ts.
Column ts should be interpreted with greater accuracy.
eg:
SELECT
pointValue,
ts,
from_unixtime(ts/1000),
YEAR(from_unixtime(ts/1000)),
MONTH(from_unixtime(ts/1000)),
DAY(from_unixtime(ts/1000))
FROM
pointValues;
And we may get values from last day eg:
SELECT
pointValue,
ts,
YEAR(from_unixtime(ts/1000)),
MONTH(from_unixtime(ts/1000)),
DAY(from_unixtime(ts/1000))
FROM
pointValues
WHERE
YEAR(from_unixtime(ts/1000)) = YEAR(NOW() - INTERVAL 1 day) and
MONTH(from_unixtime(ts/1000)) = MONTH(NOW() - INTERVAL 1 day) and
DAY(from_unixtime(ts/1000)) = DAY(NOW() - INTERVAL 1 day)
Thanks
Maybe it will be useful also
I tried to group my daily data by week (given a reference date) to generate a smaller panel data set.
I used postgres before and there it was quite easy:
CREATE TABLE videos_weekly AS SELECT channel_id,
CEIL(DATE_PART('day', observation_date - '2016-02-10')/7) AS week
FROM videos GROUP BY channel_id, week;
But it seems like it is not possible to subtract a timestamp with a date string in Drill. I found the AGE function, which returns an interval between two dates, but how to convert this into an integer (number of days or weeks)?
DATE_SUB may help you here. Following is an example:
SELECT extract(day from date_sub('2016-11-13', cast('2015-01-01' as timestamp)))/7 FROM (VALUES(1));
This will return number of weeks between 2015-01-01 and 2016-11-13.
Click here for documentation
I am needing to count month between collect dates. I need to know if the test was run in the last 3 months. Below is the code I used but it is giving me a count of zero, but I know they had 3 of the same tests run in a year because I can see the dates. I understand the first one have a count of zero, because there is no test before that, but the count for the other should be 3, 5 respectively.
DATEDIFF('month',[Collect Date],[Collect Date])
Dates of the Tests.
1/8/2015
4/23/2015
9/30/2015
What you are looking for is possible using the LOOKUP function in Tableau. Keep in mind, that the result relies heavily on the data that is displayed and how it is displayed (sorted, etc).
You can create a calculated field like this:
DATEDIFF("month",LOOKUP(ATTR([Test Date]),-1),ATTR([Test Date]))
Which calculates the number of months between the date in the current row and the date from the prior row.
Your result will look something like this:
I have a COGNOS package for data on processes within my company. They all have a start date, and unfinished processes have no end date. A process is active on date x if the start date is before x, and the end date is after x, or is empty. The package doesn't have a time series.
The company needs a report with the number of active processes at the end of each month, for the past two years. With no time series to iterate, I had to be creative. I created 24 data items, each with the formula below:
IF (([Start Date] <= _last_of_month(_add_months(current_date;-1))) and
(([End Date] is missing) or
([End Date] > _last_of_month(_add_months(current_date;-1)))))
THEN (1) ELSE (0)
... subtracting 1 to 24 months. Then, I added each on a column on the report's crosstable.
Well, this solution is really ugly, and unmaintanable. Is there a way to iterate a variable on Report Studio, creating a line or column for each iteration?
Thanks!
You can simulate time series in Report Studio.
There are some options:
If you are allowed to SQL in RS. Create a Query Subject like:
select _last_of_month(_add_months(current_date;-1)) as Month
union all
select _last_of_month(_add_months(current_date;-2)) as Month
union all
....
Create a query subject from existing table with dates. Query item [Month]
_last_of_month([date_field])
Filter it by
[date_field] < _add_months(current_date;-24)
and check query property "Auto Group and Summarize" is set "Yes".
Be careful an choose small but dense table as a source.
Create Query subject based on any existing table with more than 24 rows. Add a Query Item with expression
1
Call it "1" as well. Add another QI, call it [Back], expression
running-total([1])
Filter it:
[Back] <= 24
Add another QI with expression
_last_of_month(_add_months(current_date;-[Back]))
This is your [Month] field
Than join this Query Subject with your process list by condition
[Time series].[Month] > [Process].[Start Date] and
([Time series].[Month] < [Process].[End Date] or [End Date] is missing)
Than just count rows for every [Month]
In one of my tables I have datetime field in which the data in the table column is populated with something like "2016-01-07 01:33:00".
What I want to do is change ONLY the date to a random date within a range (ie: 2016-02-01 thru 2016-02-28) without changing the time. The end result might be "2016-02-13 01:33:00".
What mysql command string would accomplish this task?
Something like
UPDATE someTable SET someDate = DATE_ADD(
someDate,
INTERVAL
DATEDIFF(rangeStart, someDate) +
ROUND(RAND()*DATEDIFF(rangeEnd, rangeStart))
DAY
);
where someTable.someDate is your existing data, and rangeStart and rangeEnd are the boundaries of your target date range.
Here you take the initial date, add enough days to it to reach the range start, and then further add a random number of days no greater than the number of days in your target range.
In MsSQL it could be:
select dateadd(day,cast((RAND() * 30) as int),getdate())
Substitute getdate() with your input date.
(RAND() * 30) is used to randomly generate a number of days up to 30.