I have records in database with start and end dates
i want to filter out all records with are in range of start and end date
i have two query that works , gives me records between two dates and the other query gives me records that are in range of start or end date
how do i combine these two linq query into single one so it works in both ways
Linq 1
schedulelist = (From c In db.Table1 Where c.StartDate.Value.Date <= objStartDate.Date And c.EndDate.Value.Date >= objStartDate.Date And
c.UserID = CInt(Session("UserID"))).ToList()
Linq 2
schedulelist = (From c In db.Table1 Where (c.StartDate.Value.Date >=
objStartDate.Date And c.StartDate.Value.Date <= objEndDate.Date) Or
(c.EndDate.Value.Date >= objStartDate.Date And c.EndDate.Value.Date <=
objEndDate.Date) And c.UserID = CInt(Session("UserID"))).ToList()
in db table have these values
StartDate EndDate
2019-10-08 07:00:00.000 2019-10-30 07:00:00.000
2019-10-15 07:00:00.000 2019-10-27 07:00:00.000
if search with ObjStartDate 15/10/2019 00:00:00 and ObjEndDate 27/10/2019 00:00:00
i get record No 2 when i run Linq 2
i get Record No 1 when i run Linq 1
what i should get is both records for any Linq 1 or Linq 2
so whats the better solution to combine both into one query or this query is all wrong ?
The simplest query to check if date range 1 intersects date range 2 is this:
... WHERE range2_end > range1_start
AND range1_end > range2_start
This checks all cases such as range 1 fully inside, fully contains, starts inside or ends inside range 2.
Related
I have got 4 tables in BigQuery that keep statistics for messages in a Message Queue. The tables are : receivedMessages, processedMessages, skippedMessages and failedMessages. Each table has among other things a header.processingMetadata.approximateArrivalTimestamp which as you might have guessed it is a timestamp field.
My purpose is to create 4 charts for each one of this tables aggregating in this field as well as a 5th chart that displays the percentage of each message category each day in regards to the receivedMessages as well as the unknown status messages using the following formula :
UNKNOWN_STATUS_MESSAGES = TOTAL_RECEIVED_MESSAGES - (TOTAL_PROCESSED_MESSAGES + TOTAL_SKIPPED_MESSAGES + TOTAL_FAILED_MESSAGES)
However some days do not have skipped or failed messages, therefore there are no records in Big Query in these two tables. This results to these 2 graphics having dates missing and also not displaying correctly the UNKNOWN_STATUS_MESSAGES in the 5th graph.
I also used the following code as a metric in my graphs with no success (changing the variable name appropriately each time).
CASE WHEN TOTAL_FAILED_MESSAGES IS NULL THEN 0 ELSE TOTAL_FAILED_MESSAGES END
Is there a way to make google data studio to fill the dates with no data with 0s so I can display the charts correctly?
As long as you know the date boundaries of your chart, you can fill those holes with zeros. For instance, if you want to generate your report for last 30 days:
with dates as (
select
x as date
from
unnest(generate_date_array(date_sub(current_date(), interval 30 day), current_date())) as x
)
select
date,
received_messages,
processed_messages,
skipped_messages,
failed_messages,
received_messages - (processed_messages + skipped_messages + failed_messages) as unknown_messages from (
select
d.date,
coalesce(count(received.*), 0) as received_messages,
coalesce(count(processed.*), 0) as processed_messages,
coalesce(count(skipped.*), 0) as skipped_messages,
coalesce(count(failed.*), 0) as failed_messages
from dates d
left join dataset.receivedMessages received
on date(received.header.processingMetadata.approximateArrivalTimestamp) = d.date
left join dataset.processedMessages processed
on date(processed.header.processingMetadata.approximateArrivalTimestamp) = d.date
left join dataset.skippedMessages skipped
on date(skipped.header.processingMetadata.approximateArrivalTimestamp) = d.date
left join dataset.failedMessages failed
on date(failed.header.processingMetadata.approximateArrivalTimestamp) = d.date
group by 1
)
order by 1
1) I recommend doing a join in BigQuery with a date master table to return '0' for those date values.
2) Otherwise, in Data Studio, make sure there is a field X that has values for all dates. Then create a calculated field with formula X - X + TOTAL_SKIPPED_MESSAGES and X - X + TOTAL_FAILED_MESSAGES
As I found out it is also possible to do it in non fixed date using date parameters. So the first part of khan's answer can be rewritten as:
WITH dates AS (
select *
from unnest(generate_date_array(PARSE_DATE('%Y%m%d', #DS_START_DATE), PARSE_DATE('%Y%m%d', #DS_END_DATE), interval 1 day)) as day
)
Please advice how to combine query, to find first occurrence of row
I have table
Date Counter
01.01.2005 208,5
02.01.2005 209,5 <----- start
03.01.2005 210,5
04.01.2005 211,5
08.01.2005 16,5
09.01.2005 17,2
10.01.2005 18,8 <------ correct
11.01.2005 19,7
12.01.2005 20,7
13.01.2005 21
14.01.2005 116,3
15.01.2005 120,4
16.01.2005 135,2
17.01.2005 1,1
18.01.2005 10,3
19.01.2005 18,7 <------ wrong
20.01.2005 14,2
21.01.2005 8,5
22.01.2005 7,1
and I need to extract Date by Counter 18.5 (from starting date 02.01.2005), since this value not in the table possible to take next higher value.
I tried to search by using starting date (because table have thousand dates and Counter between 0-499) and limit for value (grater or equal).
select top 1 Date from Tabel1 where Date > 02.01.2005 AND Counter >= 18.5
this query return wrong result - date 03.01.2005,
but correct must be 10.01.2005.
Hope for any assistance. Thanks in advance.
(I use: sql 2008 r).
You need to put an ORDER BY clause when using TOP. In this case you want to get the lowest Counter:
SELECT TOP 1 *
FROM tbl
WHERE
Date > CAST('20050102' AS DATE)
AND Counter >= 18.5
ORDER BY Counter
Note that without the ORDER BY, the result of TOP 1 is not guaranteed to always be the same.
I am trying to create a table within a report that appears as follows:
The data set is based on this query:
SELECT
DATENAME(dw, CurrentReadTime) AS 'DAY',
DATEPART(dw, CurrentReadTime) AS 'DOW',
CAST(datename(HH, CurrentReadTime) as int) AS 'HOD',
AVG([Difference]) AS 'AVG'
FROM
Consumption
INNER JOIN Readings ON Readings.[RadioID-Hex] = Consumption.[RadioID-Hex]
WHERE
CONCAT([Building], ' ', [Apt]) = #ServiceLocation
GROUP BY
CurrentReadTime
ORDER BY
DATEPART(DW, CurrentReadTime),
CAST(DATENAME(HH, CurrentReadTime) AS INT)
The data from this table returns as follows:
In report builder, I have added this code to the report properties:
Function GetRangeValueByHour(ByVal Hour As Integer) As String
Select Case Hour
Case 6 To 12
GetRangeValueByHour = "Morning"
Case 12 to 17
GetRangeValueByHour = "Afternoon"
Case 17 to 22
GetRangeValueByHour = "Evening"
Case Else
GetRangeValueByHour = "Overnight"
End Select
Return GetRangeValueByHour
End Function
And this code to the "row group":
=Code.GetRangeValueByHour(Fields!HOD.Value)
When I execute the report, selecting the parameter for the target service location, I get this result:
As you will notice, the "Time of Day" is displaying the first result that meets the CASE expression in the Report Properties code; however, I confirmed that ALL "HOD" (stored as an integer) are being grouped together by doing a SUM on this result.
Furthermore, the actual table values (.05, .08, etc) are only returning the results for the HOD that first meets the requirements of the CASE statement in the VB code.
These are the things I need resolved, but can't figure out:
Why isn't the Report Properties VB code displaying "Morning", "Afternoon", "Evening", and "Overnight" in the Time of Day column?
How do I group together the values in the table? So that the AVG would actually be the sum of each AVG for all hours within the designated range and day of week (6-12, 12-18, etc on Monday, Tuesday etc).
To those still reading, thanks for your assistance! Please let me know if you need additional information.
I'm still not sure if I have a clear picture of your table design, but I'm imagining this as a single row group that's grouped on this expression: =Code.GetRangeValueByHour(Fields!HOD.Value). Based on this design and the dataset above, here's how I would solve your two questions:
Use the grouping expression for the value of the Time of Day cell, like:
Add a SUM with a conditional for the values on each day of the week. Example: the expression for Sunday would be =SUM(IIF(Fields!DOW.Value = 1, Fields!AVG.Value, CDec(0))). This uses CDec(0)instead of 0 because the AVG values are decimals and SSRS will otherwise throw an aggregate of mixed data types error by interpreting 0 as an int.
I'm working on a report that shows transactions grouped by type.
Type Total income
------- --------------
A 575
B 244
C 128
D 45
E 5
F 3
Total 1000
I only want to provide details for transaction types that represent more than 10% of the total income (i.e. A-C). I'm able to do this by applying a filter to the group:
Type Total income
------- --------------
A 575
B 244
C 128
Total 1000
What I want to display is a single row just above the total row that has a total for all the types that have been filtered out (i.e. the sum of D-F):
Type Total income
------- --------------
A 575
B 244
C 128
Other 53
Total 1000
Is this even possible? I've tried using running totals and conditionally hidden rows within the group. I've tried Iif inside Sum. Nothing quite seems to do what I need and I'm butting up against scope issues (e.g. "the value expression has a nested aggregate that specifies a dataset scope").
If anyone can give me any pointers, I'd be really grateful.
EDIT: Should have specified, but at present the dataset actually returns individual transactions:
ID Type Amount
---- ------ --------
1 A 4
2 A 2
3 B 6
4 A 5
5 B 5
The grouping is done using a row group in the tablix.
One solution is to solve that in the SQL source of your dataset instead of inside SSRS:
SELECT
CASE
WHEN CAST([Total income] AS FLOAT) / SUM([Total income]) OVER (PARTITION BY 1) >= 0.10 THEN [Type]
ELSE 'Other'
END AS [Type]
, [Total income]
FROM Source_Table
See also SQL Fiddle
Try to solve this in SQL, see SQL Fiddle.
SELECT I.*
,(
CASE
WHEN I.TotalIncome >= (SELECT Sum(I2.TotalIncome) / 10 FROM Income I2) THEN 10
ELSE 1
END
) AS TotalIncomePercent
FROM Income I
After this, create two sum groups.
SUM(TotalIncome * TotalIncomePercent) / 10
SUM(TotalIncome * TotalIncomePercent)
Second approach may be to use calculated column in SSRS. Try to create a calculated column with above case expression. If it allows you to create it, you may use it in the same way as SQL approach.
1) To show income greater than 10% use row visibility condition like
=iif(reportitems!total_income.value/10<= I.totalincome,true,false)
here reportitems!total_income.value is total of all income textbox value which will be total value of detail group.
and I.totalincome is current field value.
2)add one more row to outside of detail group to achieve other income and use expression as
= reportitems!total_income.value-sum(iif(reportitems!total_income.value/10<= I.totalincome,I.totalincome,nothing))
I have a stored procedure (I cannot edit) that I am calling via linq.
The stored procedure returns values (more complex but important data below):
Customer Stock Item Date Price Priority Qty
--------------------------------------------------------
CUST1 TAP 01-04-2012 £30 30 1 - 30
CUST1 TAP 05-04-2012 £33 30 1 - 30
CUST1 TAP 01-04-2012 £29 20 31 - 99
CUST1 TAP 01-04-2012 £28 10 1 - 30
I am trying to limit this list to rows which have unique Dates and unique quantities in LINQ.
I want to remove items with the HIGHER priority leaving rows with unique dates and qty's.
I have tried several group by's using Max and order by's but have not been able to get a result.
Is there any way to do this via linq?
EDIT:
Managed to convert brad-rem's answer into VB.net.
Syntax below if anyone needs it:
returnlist = (From p In returnlist
Order By p.Qty Ascending, p.Priority
Group By AllGrp = p.Date, p.Qty Into g = Group
Select g.First).ToList
How about the following. It groups by Date and Qty and orders it so that the lower priorities come first. Then, it just selects the first item from each group, which are all the lower priority items:
var result = from d in dbData
orderby d.Priority
group d by new
{
d.Date,
d.Qty
} into group1
select group1.First();