I had one simple table ItemMapping, 2 Field, one Field is single Item List Field SingleSelectField With value "A",
Other for Multiple Item List Field MultiSelectField with Value ("B", "C", "D").
I Wanna get This mapping relationship By "B", I tried to set up one dataset, And try some single SuiteQL like before, But I always get empty results returned.
SELECT *
FROM ItemMapping
WHERE ItemMapping.MultiSelectField IN ('B')
Any tips may Help me.
Thank you in advance.
As was pointed out, Marty Zigman's article describes how Boban D. located an undocumented "feature" of SuiteQL which can be used.
I will leave most of the explaining to the article but to summarize, NetSuite automatically creates a relationship table named map_sourcTableId_fieldId which contain two columns: mapone and maptwo. mapone is the record id from the source table and maptwo is record id for the joined table.
This method seems to work well and maybe the most straight forward if you are accustomed to working in SQL.
As an alternative, I constructed a native SuiteScript Query object with a condition on a multiple select field. Then I used the toSuiteQL() method to convert it into SuiteQL to see how NetSuite natively deals with this. What I found was another undocumented "feature". The resulting query used a BUILTIN.MNFILTER function. So for example if you've got a custom transaction body field, custbody_link_type, that is a multiple select field and want to get transactions where one of te values in custbody_link_type is 4 then here is the generated SuiteQL:
SELECT T.tranid, T.custbody_link_types
FROM "transaction" as T
WHERE BUILTIN.MNFILTER(T.custbody_link_types , 'MN_INCLUDE', '', 'FALSE', NULL, 4) = 'T'
And if you want transactions where the custbody_link_types does not contain all of the following: 1, 2, 3 ...
SELECT T.tranid, T.custbody_link_types
FROM "transaction" as T
WHERE BUILTIN.MNFILTER(T.custbody_link_types , 'MN_EXCLUDE_ALL', '', 'FALSE', NULL, 1, 2, 3) = 'T'
OR T.custbody_link_types IS NULL
To wrap it up, the undocumented BUILTIN.MNFILTER function is used by NetSuite's query module to filter multiple select fields. It accepts the multiple select column, the internal string value of the query.Operator enum, some other stuff I don't know anything about, and finally one or more the values to compare. It appears to return a string of either 'T' for when the condition is met otherwise 'F'.
Ultimately, I'm not sure whether this is a "better" way to address the need but I thought it was worth documenting.
Related
I have the following question!
I have a table like this:
Data Source
I want to create a field(i suppose it's a field) that i can take the apl_ids,
that have as service_offered some that i want.
Example from the above table. If i want the apl_ids that have ONLY the service_offered
Pending 1, Pending 2 and Pending 7.
In that case, I want to get the apl_id = "13" since apl_id = "12" got one more service that i don't need.
Which is the best way to get that?
Thank you in advance!
Add a calculated field which gives 1 for desired values and 0 for other values. Add another calc field with fixed LOD to apl_id to sum of calcF1. Filter all ids with values=3 only. I think that should work.
Else tell me I will post screenshots
You can create a set based on the field api_id defined by the condition
max([service_offering]=“Pending 1”) and
max([service_offering]=“Pending 2”) and
max([service_offering]=“Pending 7”) and
min([service_offering]=“Pending 1” or [service_offering]=“Pending 2” or [service_offering]=“Pending 7”)
This set will contain those api_ids that have at least one record where service_offering is “Pending 1” and at least one record with Pending 2 ... and where every record has a service offering of 1, 2 or 7 (I.e. no others)
The key is to realize that Tableau treats True as greater than False, so min() and max() for boolean expressions correspond to every() and any().
Once you have a set of api_ids() you can use it on shelves and in calculated fields in many different ways.
I am trying to get calculate and retrieve some indicators from mutiple tables I have in my dataset on bigquery. I am want to invoke nesting on sfam which is a column of strings which I can't do for now i.e. it could have values or be null. So the goal is to transform that column into an array/record...that's the idea that came to mind and I have no idea how to go about doing it.
The product and cart are grouped by key_web, dat_log, univ, suniv, fam and sfam.
The data is broken down into universe refered to as univ which is composed of sub-universe refered to as suniv. Sub-universes contain families refered to as 'fam' which may or may not have sub-families refered to as sfam. I want to invoke nesting on prd.sfam to reduce the resulting columns.
The data is collected from Google Analytics for insight into website trafic and users activities.
I am trying to get information and indicators about each visitor, the amount of time he/she spent on particular pages, actions taken and so on. The resulting table gives me the sum of time spent on those pages, sum of total number of visits for a single day and a breakdown to which category it belongs, thus the univ, suniv, fam and sfam colummns which are of type string (the sfam could be null since some sub-universes suniv only have families famand don't go down to a sub-family level sfam.
dat_log: refers to the date
nrb_fp: number of views for a product page
tps_fp: total time spent on said page
I tried different methods that I found online but none worked, so I post my code and problem in hope of finding guidance and a solution !
A simpler query would be:
select
prd.key_web
, dat_log
, prd.nrb_fp
, prd.tps_fp
, prd.univ
, prd.suniv
, prd.fam
, prd.sfam
from product as prd
left join cart as cart
on prd.key_web = cart.key_web
and prd.dat_log = cart.dat_log
and prd.univ = cart.univ
and prd.suniv = cart.suniv
and prd.fam = cart.fam
and prd.sfam = cart.sfam
And this is a sample result of the query for the last 6 columns in text and images:
Again, I want to get a column of array as sfam where I have all the string values of sfam even nulls.
I limited the output to only only the last 6 columns, the first 3 are the row, key_web and dat_log. Each fam is composed of several sfam or none (null), I want to be able to do nesting on either the fam or sfam.
I want to get a column of array as sfam where I have all the string values of sfam even nulls.
This is not possible in BigQuery. As the documentation explains:
Currently, BigQuery has two following limitations with respect to NULLs and ARRAYs:
BigQuery raises an error if query result has ARRAYs which contain NULL elements, although such ARRAYs can be used inside the query.
That is, your result set cannot contain an array with NULL elements.
Obviously, in BigQuery you cannot output array which holds NULL, but if for some reason you need to preserve them somehow - the workaround is to create array of structs as opposed to arrays of single elements
For example (BigQuery Standard SQL) if you try to execute below
SELECT ['a', 'b', NULL] arr1, ['x', NULL, NULL] arr2
you will get error: Array cannot have a null element; error in writing field arr1
While if you will try below
SELECT ARRAY_AGG(STRUCT(val1, val2)) arr
FROM UNNEST(['a', 'b', NULL]) val1 WITH OFFSET
JOIN UNNEST(['x', NULL, NULL]) val2 WITH OFFSET
USING(OFFSET)
you get result
Row arr.val1 arr.val2
1 a x
b null
null null
As you can see - approaching this way - you can have have even both elements as NULL
store_id=Store.select(:id).where(user_id:current_user.id).to_a.first
it returns id like that : Store:0x00007f8717546c30
Store.select(:id).where(user_id:current_user.id).to_a.first
select does not return an array of strings or integers for the given column(s), but rather an active record relation containing objects with just the given field:
https://apidock.com/rails/ActiveRecord/QueryMethods/select
Your code is then converting that relation to an array, and taking the first object in that array, which is an instance of the Store class. If you want the ID, then try:
Store.select(:id).where(user_id:current_user.id).to_a.first.id
However, I think you're misunderstanding how to structure the queries. Put the where part first, and then find the ID of the first result:
Store.where(user_id: current_user.id).first.id
And if there is only 1 store, then:
Store.find_by(user_id: current_user.id).id
Or...
Store.find_by(user: current_user).id
or.....
current_user.store.id
(or current_user.stores.first.id if there are many)
I have the following records
Master String
abc,def,ghi,jkl,mno
Records
abc,ghi,xyz
bbb,jkl
abc,ghi,mno
bbb,ggg
Each of these records are concatenated fields from another query. (the first record is a concatenation of "abc", "ghi" and "xyz").
From the above, I'm supposed to confirm if the fields in the strings contain a match to the master string. In this scenario, the first three records are matching because they each have at least one field that matches the master string.
Is there any way to use a single query to handle this? The only way I can think off is to break each records into its components and matching it individually, but I am hoping for a more efficient solution. I can't seem to get regex to work with this either.
You need to re-atomize the master string. Fortunately you won't need to touch the record records.
This solution deploys regex to split the master string into tokens. These are cross-joined to the tokens. We use instr() to see whether the token exists in a record's string, and the result is aggregated to produce one record with a Y/N flag per record.
with m as (
select regexp_substr(str,'[^,]+', 1, level) as tkn
from master_t
connect by level <= regexp_count(str, ',')+1
)
select r.str
, max(case when instr(r.str, m.tkn) > 0 then 'Y' else 'N' end) as in_str
from m
cross join record_t r
group by r.str
/
Obviously this solution assumes you're dealing with tables. The question is a bit vague regarding your data structures. I hope you'll be able to apply this answer to your situation, but if you need further assistance please edit your question to provide clarification.
I have a pivot table chart in QlikView that has a dimension and an expression. The dimension is a column with 5 possible values: 'a','b','c','d','e'.
Is there a way to restrict the values to 'a','b' and 'c' only?
I would prefer to enforce this from the chart properties with a condition, instead of choosing the values from a listbox if possible.
Thank you very much, I_saw_drones! There is an problem I have though. I have different expressions defined depending on the category, like this:
IF( ([Category]) = 'A' , COUNT( {<[field1] = {'x','y'} >} [field2]), IF ([Category]) = 'B' , SUM( {<[field3] = {'z'} >} [field4]), IF (Category='C', ..., 0)))
In this case, where would I add $<Category={'A','B','C'} ? My expression so far doesn't help because although I tell QV to use a different formula/calculation for each category, the category overall (all 5 values) represents the dimension.
One possible method to do this is to use QlikView's Set Analysis to create an expression which sums only your desired values.
For this example, I have a very simple load script:
LOAD * INLINE [
Category, Value
A, 1
B, 2
C, 3
D, 4
E, 5
];
I then have the following Pivot Table Chart set up with a single expression which just sums the values:
What we need to do is to modify the expression, so that it only sums A, B and C from the Category field.
If I then use QlikView's Set Analysis to modify the expression to the following:
=sum({$<Category={A,B,C}>} Value)
I then achieve my desired result:
This then restricts my Pivot Table Chart to displaying only these three values for Category without me having to make a selection in a Listbox. The form of this expression also allows other dimensions to be filtered at the same time (i.e. the selections "add up"), so I could say, filter on a Country dimension, and my restriction for Category would still be applied.
How this works
Let's pick apart the expression:
=sum({$<Category={A,B,C}>} Value)
Here you can recognise the original form we had before (sum(Value)), but with a modification. The part {$<Category={A,B,C}>} is the Set Analysis part and has this format: {set_identifier<set_modifier>}. Coming back to our original expression:
{: Set Analysis expressions always start with a {.
$: Set Identifier: This symbol represents the current selections in the QlikView document. This means that any subsequent restrictions are applied on top of the existing selections. 1 can also be used, this represents the full set of data in your document irrespective of selections.
<: Start of the set modifiers.
Category={A,B,C}: The dimension that we wish to place a restriction on. The values required are contained within the curly braces and in this case they are ORed together.
>: End of the set modifiers.
}: End of the set analysis expression.
Set Analysis can be quite complex and I've only scratched the surface here, I would definitely recommend checking the QlikView topic "Set Analysis" in both the installed helpfile and the reference manual (PDF).
Finally, Set Analysis in QlikView is quite powerful, however it should be used sparingly as it can lead to some performance problems. In this case, as this is a fairly simple expression the performance should be reasonable.
Woa! a year later, but what you are loking for is osmething near this:
Go to the dimension sheet, then select the Category Dimension, and click on the Edit Dimesnion button
there you can use something like this:
= If(Match(Category, 'a', 'b', 'c'), Category, Null())
This will make the object display only a b and c Categories, and a line for the Null value.
What leasts is that you check the "Suppress value when null" option on the Dimension sheet.
c ya around
Just thought another solution to this which may still be useful to people looking for this.
How about creating a bookmark with the categories that you want and then setting the expressions to be evaluated in the context of that bookmark only?
(Will expand on this later, but take a look at how set analysis can be affected by a bookmark)