Description:
I have a table ProductGroupItems that is in a 1 to 1 relationship with BonusGroupItems and ThresholdGroupItems. Sometimes a ProductGroupItem is a bonus item other times its a threshold item. I chose this so that ProductGroupItems wouldn't have any columns that were null.
Question:
How do I insert multiple ProductGroupItems and its corresponding 1 to 1 table (Threshold or Bonus) using Sequelize.bulkCreate?
What I have tried:
Looping through values and making a separate create() each time. This does work but fires a query for EACH record, obviously.
models.ProductGroupItems.bulkCreate(productItems, { return: true }) then doing something fancy with the values that come back. This was too confusing and I ended up not being able to figure it out.
Any help?
Related
Relatively new to Blue Prism,
I have a collection that looks like this, with 100+ rows:
Results
Answer
Timestamp
8 Apr 2021
Name
ABC
I'd like to manipulate the data such that if Results = 'Name', Get the Answer (aka ABC) and put it into a data item.
Is there any way to do this?
I understand I could hardcode i.e. Get value based on Row Index and Column Index, but my data is complex and may not always have the same rox index.
Can you use the collection filter to get a collection output? The utility has an action to filter where you can input a collection and then use
[FieldName] Like "some value"
This would result in every complete row in the collection that matches the filter.
As the title states, I am trying to do a merge of 2 tables. I want a nested joint where the values from the first table are always there and rows matching the second table are added to the first. I believe this is known as the nested join.
Unfortunately, it only allows for 1 key to 1 key matching where as I need it for 1 key in table 1 to 2 keys in table 2
Here is an example
Table1:
Group
..
..
Time
Date
Table2:
Group 1
Group 2
..
..
..
Other Info
What I want is where "Group = Group 1 OR Group = Group 2" and display the matching row from table 2 nested into Table 1
I looked at the following example but I must be confused by the syntax because it doesn't seem to be working for me.
How to join two tables in PowerQuery with one of many columns matching?
So after further investigation of the answer post I linked earlier, I will add an explanation of it here:
Table.AddColumn(Source, "Name_of_Column",
(Q1) => Table.SelectRows(Query2,
each Q1[Col_from_q1] = [Col_from_q2] or Q1[Col_from_q1] = [2_Col_from_q2]
)
)
So this did work for me and it adds an extra column that needs to be expanded to get all the values from the table. What i would add is that I don't know / haven't tested if there are multiple matches and how it treats it, based on nestedjoin, I would assume that it will duplicate rows in the first table.
In Excel connected to SSAS, I am trying to build a pivot table and add a custom Measure Calculation using "OLAP Tools" and/or "OLAP Pivot Table Exensions". I am trying to add a calculation that is really simple in my mind, but I cannot get it to work. The calc I need is:
GOAL: A record count of the [Items] dimension records grouped by any of the
[Items] dimension fields.
In particular I am trying to group by [Items].[Items Groups] and [Items].[Item]. Item is the lowest grain, so the count should return value "1". I have created a couple calculations that are kind of in the ballpark (see below). But the calcs don't appears to be working as desired.
What I have tried:
Attempt #1 -- [Measures].[Items Count (With net amount values)]
DISTINCTCOUNT( {[Items].[Item].MEMBERS} )
The calc 'Items Count (With net amount values)' appears to be
returning a decent count value, but it appears it only counts the Item
if there are transnational records found (not sure why). Also, when
at the lowest grain level the calc returns that value for the parent
group, not the dimension level selected on the rows.
Attempt #2 -- [Measures].[Items Count (All)]
[Items].[Item].[Item].Count
This calc returns the TOTAL item count for the entire dimension
regardless of the dimension level placed on the rows.
Attempt #3 -- [Measures].[Items Count]
COUNT ( { [Items].[Item].MEMBERS}, EXCLUDEEMPTY)
This calc freezes up Excel and I have to quit Excel. No idea why. I have seen this sytnax recommended on a few different sites.
Screenshot:
Help please? This seems really simple, but I am not very skilled with MDX. In DAX and SSAS TABULAR this would be very simple expression. But I'm struggling to count the rows with MDX in SSAS MD.
The "Outside Purchased Beef" group has 18 items with transactions, but 41 items in total. I do not know how to calculate the "41" value.
SSAS Excel-CalcMeasure-CountRows.png
Take a look at the following samples on AdventureWorks.
with member [Measures].[CountTest]
as
count(existing [Product].[Subcategory].members - [Product].[Subcategory].[All])
select
{
[Measures].[Internet Sales Amount],[Measures].[CountTest]
}
on columns,
{
([Product].[Category].[Category]
,[Product].[Subcategory].[Subcategory] -- comment this line for the second result
)
}
on rows
from [Adventure Works]
Now comment the indicated line for the parent view.
All I've done a lot of background reading on this on and off for the past day or so and I'm none the wiser on how to achieve this.
I have looked on this site and found ways of concatenating multiple rows into one column however what I'm after is a bit more bespoke, please help...
I have two tables - one is a list of people and details about them such as name etc and a person reference.
The second contains a number of alerts about a person, one person can have multiple alerts. This would contain a person reference and the type of alert they have in a string.
I want to join these two tables using an inner join on the person reference.
I next want to find all of the alerts for each person and concatenate it into a string and show this as the "All alerts" column.
So I will end up with the following output:
First Name | Surname | All Alerts
-----------+---------+--------------------------
Tony | Stark | Alert 1, Alert 2, Alert 3
I can get as far as going through all of the alerts in the alerts table and put the alerts for every person into a string, obviously I need a concatenated value for each person, and haven't figured out how to do this.
I've spent a day on this and looked into XMLPath solutions and using CTE, CROSS APPLY and subqueries to specify the where clause. I am a little lost.
DECLARE #ConcatenatedVals VARCHAR (255)
SET #ConcatenatedVals =
(
DECLARE #AllAlerts VARCHAR(8000)
SELECT #AllAlerts = COALESCE(#AllAlerts + ', ', '') + personAlert
FROM Alerts
SELECT #AllAlerts AS 'All Alerts'
)
I found the solution for this posted here:
https://www.simple-talk.com/sql/t-sql-programming/concatenating-row-values-in-transact-sql/#Toc205129480
This referenced a solution by Adam Machanic
Also, stuff is actually a function, not seen this before:
SELECT p1.CategoryId,
stuff( (SELECT ','+ProductName
FROM Northwind.dbo.Products p2
WHERE p2.CategoryId = p1.CategoryId
ORDER BY ProductName
FOR XML PATH(''), TYPE).value('.', 'varchar(max)')
,1,1,'')
AS Products
FROM Northwind.dbo.Products p1
GROUP BY CategoryId ;
I have the following data model:
Record: Id, ..., CreateDate
FactA: RecordId, CreateDate
FactB: RecordId, CreateDate
Relationships exist from FactA to Record and FactB to Record.
I've written measures on Records such as this with no issues:
FactA's:=CALCULATE(DISTINCTCOUNT(Records[Id]), FactA)
FactB's:=CALCULATE(DISTINCTCOUNT(Records[Id]), FactB)
Now I'd like a count of Records with FactA but no FactB, in SQL I'd do a LEFT JOIN WHERE FactB.RecordId IS NULL but I can't figure out how to do similar in DAX. I've tried:
-- this returns blank, presumably because when there is a FactB then RecordId isn't blank, and when there is no Fact B then RecordId a NULL which isn't blank either
FactA_No_FactB:=CALCULATE(DISTINCTCOUNT(Records[Id]), FactA, FILTER(FactB, ISBLANK([RecordId])))
-- this returns the long "The value for columns "RecordId" in table "FactB" cannot be determined in the current context" error.
FactA_No_FactB:=CALCULATE(DISTINCTCOUNT(Records[Id]), FILTER(FactA, ISBLANK(FactB[RecordId])))
I've also tried various ways of using RELATED and RELATEDTABLE but I don't really understand enough about DAX and context to know what I'm doing.
Can someone explain how I can write the calculated measure to count Records with FactA but no FactB?
Thanks in advance.
Edit - Workaround
I've come up with this, it looks correct so far but I'm not sure if it is the generally correct way to do this:
-- Take the count with FactA and subtract the count of (FactA and FactB)
FactA_No_FactB:=CALCULATE(DISTINCTCOUNT(Records[Id]), FactA) - CALCULATE(DISTINCTCOUNT(Records[Id]), FactA, FactB)
Here's an alternative, that might still not be the best way of doing it:
FactA_No_FactB:=CALCULATE(DISTINCTCOUNT(Records[ID]), FILTER(Records,CONTAINS(FactA, FactA[RecordID],Records[ID]) && NOT(CONTAINS(FactB,FactB[RecordID],Records[ID]))))
The difference between my version and yours is that mine returns a value of 1 for those items in and A but not B and BLANK for everything else. Your version returns 1 for those items in A but not B, 0 for those in both A and B and BLANK for everything else. Depending on your use case, one outcome may be prefereable over the other.