Example:
Name: (a field name that display "people name")
His/her information: (match the name then pull out the field value of their "first/last name", "address
, "phone"....etc each represent 1 field value, so it need to pull out 4 field value)
Any advice or what function to use will be appreciate.
thanks for helping!!
Related
I am trying to get the report to show the purchase price which the user enters in a parameter. If the user doesn't enter anything it will say "Undisclosed" otherwise I want it to show the purchase price as currency. I have tried the following:
=IIF(Parameters!PurchasePrice.Value = "", "Undisclosed", Cstr(Format(Parameters!PurchasePrice.Value, "C")))
=IIF(Parameters!PurchasePrice.Value = "", "Undisclosed", Format(Parameters!PurchasePrice.Value, "C"))
=IIF(Parameters!PurchasePrice.Value = "", "Undiscloded", FormatCurrency(Parameters!PurchasePrice.Value,0))
=IIF(Parameters!PurchasePrice.Value = "", "Undiscloded", FormatNumber(Parameters!PurchasePrice.Value,0))
I can get "Undisclosed" to appear but every time I enter a number it shows #Error
You can try the following solution:
=IIF(IsNumeric(Parameters!PurchasePrice.Value), Format(Val(Parameters!PurchasePrice.Value), "C"), "Undisclosed")
I would approach this slightly differently. This will avoid SSRS trying to format a non numeric to a currency. IIF will evaluate both the true and false outcomes even though only one result can be true for each instance.
I would set the textbox that shows the purchase price up as follow...
Set the Value expression to be
=VAL(Parameters!PurchasePrice.Value)
This will return a zero if the parameter value is left as blank/empty string
Then set the Format property of the textbox to
$#.00;-$#.00;Undisclosed
Assuming you want $ as the currency symbol. This format string will format the number to two decimals for positive and negative numbers and prefix the $ symbol but for zero values, it will show the work "Undisclosed"
I get the following error when trying to split a column by space delimiter on PowerQuery in Data Factory :
UserQuery : Expression.Error: An error occurred invoking 'Table.AddColumn': We can't get the expression for the specified value.
What is causing this and how would I go about resolving it?
Many thanks
This is the error
The PowerQuery itself is :
let
Source = dedupedetipscsv,
#"Split Column by Delimiter" = Table.SplitColumn(Source, "Candidate", Splitter.SplitTextByEachDelimiter({" "}, QuoteStyle.Csv, true), {"Candidate.1", "Candidate.2"}),
#"Split Column by Delimiter1" = Table.SplitColumn(Table.TransformColumnTypes(#"Split Column by Delimiter", {{"ApprovedDate", type text}}, "en-GB"), "ApprovedDate", Splitter.SplitTextByEachDelimiter({" "}, QuoteStyle.Csv, true), {"ApprovedDate.1", "ApprovedDate.2"})
in
#"Split Column by Delimiter1"
Note: Power Query will split the column into as many columns as needed. The name of the new columns will contain the same name as the
original column. A suffix that includes a dot and a number that
represents the split sections of the original column will be appended
to the name of the new columns.
In the Table.AddColumn step might refer to variable which is a List. You need to refer to #"Renamed Columns" which is the last step that results in a table.
Split columns by delimiter into columns | Here
Make sure : An alternate for split by length and by position is listed below | M script workarounds
Table.AddColumn(Source, "First characters", each Text.Start([Email], 7), type text)
Table.AddColumn(#"Inserted first characters", "Text range", each Text.Middle([Email], 4, 9), type text)
I need to grab the value of the first entry in a json array with Kusto KQL in Microsoft Defender ATP.
The data format looks like this (anonymized), and I want the value of "UserName":
[{"UserName":"xyz","DomainName":"xyz","Sid":"xyz"}]
How do I split or in any other way get the "UserName" value?
In WDATP/MSTAP, for the "LoggedOnUsers" type of arrays, you want "mv-expand" (multi-value expand) in conjunction with "parsejson".
"parsejson" will turn the string into JSON, and mv-expand will expand it into LoggedOnUsers.Username, LoggedOnUsers.DomainName, and LoggedOnUsers.Sid:
DeviceInfo
| mv-expand parsejson(LoggedOnUsers)
| project DeviceName, LoggedOnUsers.UserName, LoggedOnUsers.DomainName
Keep in mind that if the packed field has multiple entries (like DeviceNetworkInfo's IPAddresses field often does), the entire row will be expanded once per entry - so a row for a machine with 3 entries in "IPAddresses" will be duplicated 3 times, with each different expansion of IpAddresses:
DeviceNetworkInfo
| where Timestamp > ago(1h)
| mv-expand parsejson(IPAddresses)
| project DeviceName, IPAddresses.IPAddress
to access the first entry's UserName property you can do the following:
print d = dynamic([{"UserName":"xyz","DomainName":"xyz","Sid":"xyz"}])
| extend result = d[0].UserName
to get the UserName for all entries, you can use mv-expand/mv-apply:
print d = dynamic([{"UserName":"xyz","DomainName":"xyz","Sid":"xyz"}])
| mv-apply d on (
project d.UserName
)
thanks for the reply, but the proposed solution didn't work for me. However instead I found the following solution:
project substring(split(split(LoggedOnUsers,',',0),'"',4),2,9)
The output of this is: UserName
I want to query string from a field from my database. For example: Field "Address", value "Toul Kork District, Phnom Penh". Want I want to get is only "Phnom Penh". I know that my sql is not allow to select only this string from the field. So, what is the good way to do that?
This may help you :
SELECT SUBSTR(Address,
LOCATE(Value,Address),
LENGTH(Address) - LENGTH(Value));
POSITION function is synonim for LOCATE. You can use POSITION function as well :
SELECT SUBSTR(Address,
LOCATE(Value IN Address),
LENGTH(Address) - LENGTH(Value));
In static variable it's looks like :
SELECT SUBSTR('Toul Kork District,Phnom Penh',
LOCATE('Phnom Penh','Toul Kork District,Phnom Penh'),
LENGTH('Toul Kork District,Phnom Penh') - LENGTH('Phnom Penh'));
Result : Phnom Penh
I am selecting nodes in a JSON input but can't find a way to include parent object detail for each array entry that I am querying. I am using pentaho data integration to query the data using JSON input form a mongodb input.
I have also tried to create a mongodb query to achieve the same but cannot seem to do this either.
Here are the two fields/paths that display the data:
$.size_break_costs[*].size
$.size_break_costs[*].quantity
Here is the json source format:
{
"_id" : ObjectId("4f1f74ecde074f383a00000f"),
"colour" : "RAVEN-SMOKE",
"name" : "Authority",
"size_break_costs" : [
{
"quantity" : NumberLong("80"),
"_id" : ObjectId("518ffc0697eee36ff3000002"),
"size" : "S"
},
{
"quantity" : NumberLong("14"),
"_id" : ObjectId("518ffc0697eee36ff3000003"),
"size" : "M"
},
{
"quantity" : NumberLong("55"),
"_id" : ObjectId("518ffc0697eee36ff3000004"),
"size" : "L"
}
],
"sku" : "SK3579"
}
I currently get the following results:
S,80
M,14
L,55
I would like to get the SKU and Name as well as my source will have multiple products (SKU/Description):
SK3579,Authority,S,80
SK3579,Authority,M,14
SK3579,Authority,L,55
When I try To include using $.sku, I the process errors.
The end result i'm after is a report of all products and the available quantities of their various sizes. Possibly there's an alternative mongodb query that provides this.
EDIT:
It seems the issue may be due to the fact that not all lines have the same structure. For example the above contains 3 sizes - S,M,L. Some products come in one size - PACK. Other come in multiple sizes - 28,30,32,33,34,36,38 etc.
The error produced is:
*The data structure is not the same inside the resource! We found 1 values for json path [$.sku], which is different that the number retourned for path [$.size_break_costs[].quantity] (7 values). We MUST have the same number of values for all paths.
I have tried the following mongodb query separately which gives the correct results, but the corresponding export of this doesn't work. No values are returned for the Size and Quantity.
Query:
db.product_details.find( {}, {sku: true, "size_break_costs.size": true, "size_break_costs.quantity": true}).pretty();
Export:
mongoexport --db brandscope_production --collection product_details --csv --out Test01.csv --fields sku,"size_break_costs.size","size_break_costs.quantity" --query '{}';
Shortly after I added my own bounty, I figured out the solution. My problem has the same basic structure, which is a parent identifier, and some number N child key/value pairs for ratings (quality, value, etc...).
First, you'll need a JSON Input step that gets the SKU, Name, and size_break_costs array, all as Strings. The important part is that size_break_costs is a String, and is basically just a stringified JSON array. Make sure that under the Content tab of the JSON Input, that "Ignore missing path" is checked, in case you get one with an empty array or the field is missing for some reason.
For your fields, use:
Name | Path | Type
ProductSKU | $.sku | String
ProductName | $.name | String
SizeBreakCosts | $.size_break_costs | String
I added a "Filter rows" block after this step, with the condition "SizeBreakCosts IS NOT NULL", which is then passed to a second JSON Input block. This second JSON block, you'll need to check "Source is defined in a field?", and set the value of "Get source from field" to "SizeBreakCosts", or whatever you named it in the first JSON Input block.
Again, make sure "Ignore missing path" is checked, as well as "Ignore empty file". From this block, we'll want to get two fields. We'll already have ProductSKU and ProductName with each row that's passed in, and this second JSON Input step will further split it into however many rows are in the SizeBreakCosts input JSON. For fields, use:
Name | Path | Type
Quantity | $.[*].quantity | Integer
Size | $.[*].size | String
As you can see, these paths use "$.[*].FieldName", because the JSON string we passed in has an array as the root item, so we're getting every item in that array, and parsing out its quantity and size.
Now every row should have the SKU and name from the parent object, and the quantity and size from each child object. Dumping this example to a text file, I got:
ProductSKU;ProductName;Size;Quantity
SK3579;Authority;S; 80
SK3579;Authority;M; 14
SK3579;Authority;L; 55