Background:
I wish to update a nested field within my JSON document. I want to query for all of the "state" that equal "new"
{
"id": "123"
"feedback" : {
"Features" : [
{
"state":"new"
}
]
}
This is what I have tried to do:
Since this is a nested document. My query looks like this:
SELECT * FROM c WHERE c.feedback.Features.state = "new"
However, I keep ending up with zero results when I know that this exists within the database. What am I doing wrong? Maybe I am getting 0 results because the Features is an array?
Any help is appreciated
For arrays, you'll need to use ARRAY_CONTAINS(). For example, in your case:
SELECT *
FROM c
WHERE ARRAY_CONTAINS(c.feedback.Features,{'state': 'new'}, true)
The 3rd parameter specifies that you're searching within documents within the array, not scalar values.
Related
Wanted to iterate the list of objects/Tables and exclusively for one object which is not getting picked up as there is Underscore between the words "Admin_process" Expectation is to get as "Adminprocess" in the adf/synapse by removing the underscore,such that all objects will be passed to the copy operation.
Objects/Tables list
AdminUser
Admin_process
TempUser
Currently it is above, However is not reading the object "Admin_Process" as there is underscore.
Could you someone please tell me how to handle this case.
Thank you,
You can use replace function in ADF dynamic content.
please follow the demonstration below.
Here I am using an array parameter with keys and the above list of tables as values.
[
{
"Objectname": "AdminUser"
},
{
"Objectname": "Admin_process"
},
{
"Objectname": "TempUser"
}
]
Parameter array to ForEach activity:
To use replace function, create a set variable activity and give the below expression.
#replace(item().Objectname, '_','' )
Output with required result(Underscore removed):
Now you can pass this value to a copy activity inside the same ForEach activity.
I'm trying to set some new fields in a nested dict within a Firestore document, which results in the data being overwritten.
Here's where I write the first part of the info I need:
upd = {
"idOffer": {
<offerId> : {
"ref" : <ref>,
"value" : <value>
}
}
}
<documentRef>.update(upd)
So output here is something like:
<documentid>:{idOffer:{<offerId>:{ref:<ref>, value:<value>}}}
Then I use this code to add some fields to the current <offerId> nested data:
approval = {
"isApproved" : <bool>,
"dateApproved" : <date>,
"fullApproval" : <bool>
}
<documentRef>.update({
"idOffer.<offerId>" : approval
})
From which I expect to get:
<documentid>:{idOffer:{<offerId>:{ref:<ref>, value:<value>, isApproved:<bool>,dateApproved:<date>,fullApproval:<bool>}}}
But I end up with:
<documentid>:{idOffer:{<offerId>:{isApproved:<bool>,dateApproved:<date>,fullApproval:<bool>}}}
Note: I use <> to refer to dynamic data, like document Ids or References.
When you call update with a dictionary (or map, or object, or whatever key/value pair structure used in other languages), the entire set of data behind the given top-level keys are going to be replaced. So, if you call update with a key of idOffer.<offerId>, then everything under that key is going to be replaced, while every other child key of the idOffer level will remain unchanged.
If you don't want to replace the entire object behind the key, then be more specific about which children you'd like to update. In your example, instead of updating a single idOffer.<offerId> key, specify three keys for the nested children:
idOffer.<offerId>.isApproved
idOffer.<offerId>.dateApproved
idOffer.<offerId>.fullApproval
That is to say, the dictionary you pass should have three keyed entries like this at the top level, rather than a single key of idOffer.<offerId>.
I have following json array input -
"results": [
{ "tableName" : "ABC","id":"11"},
{ "tableName" : "ZX","id":"11"},
{ "tableName" : "ABC","id":"11"}
]}
In logic app i have used `` in For_each I'm able to append string successfuly but how to avoid adding already present string ? like above example my current output is -
ABC,ZX,ABC
i want - ABC,ZX
You could use the Array to implement, there is a union function to return a collection that has all the items from the specified collections. It will return a collection without duplicate string. Then use join action to return the string.
Cause the union function must contain two collection at least, so I used two same collections. The expression is like this: union(variables('tablename'),variables('tablename'))
The below is the result.
Hope this could help you.
I have collection of documents. Document have a field which value is an array of maps (for example: map with one field name). Structure is like that:
{
arrayfield: [
{
name: "value1",
},
{
name: "value2",
}
]
}
I want to fetch documents whose arrayfieds all maps contain values from specified array. Documentation says that I can use containsall operator. I use it in this way:
select from SomeCollection where arrayfiled containsall (name in ['value1','value2'])
But this construction always returns empty result. Where I do mistake? Thanks.
PS: If my question not understandable, I can post more detailed example of the collection and and a result which I want to receive.
Found a solution to solve my issue without containsAll:
select from SomeCollection where not (arrayfield contains (fname not in ["value1", "value2"]))
Try the following query
select from SomeCollection where arrayfiled.name contains "value1" and arrayfiled.name contains "value2"
So, say I have created some records/documents under a bucket and the user updates only one column out of 10 in the RDBMS, so I am trying to send only that one columns data and update it in couchbase. But the problem is that couchbase is overwriting the entire record and putting NULL`s for the rest of the columns.
One approach is to copy all the data from the exisiting record after fetching it from Cbase, and then overwriting the new column while copying the data from the old one. But that doesn`t look like a optimal approach
Any suggestions?
You can use N1QL update Statments google for Couchbase N1QL
UPDATE replaces a document that already exists with updated values.
update:
UPDATE keyspace-ref [use-keys-clause] [set-clause] [unset-clause] [where-clause] [limit-clause] [returning-clause]
set-clause:
SET path = expression [update-for] [ , path = expression [update-for] ]*
update-for:
FOR variable (IN | WITHIN) path (, variable (IN | WITHIN) path)* [WHEN condition ] END
unset-clause:
UNSET path [update-for] (, path [ update-for ])*
keyspace-ref: Specifies the keyspace for which to update the document.
You can add an optional namespace-name to the keyspace-name in this way:
namespace-name:keyspace-name.
use-keys-clause:Specifies the keys of the data items to be updated. Optional. Keys can be any expression.
set-clause:Specifies the value for an attribute to be changed.
unset-clause: Removes the specified attribute from the document.
update-for: The update for clause uses the FOR statement to iterate over a nested array and SET or UNSET the given attribute for every matching element in the array.
where-clause:Specifies the condition that needs to be met for data to be updated. Optional.
limit-clause:Specifies the greatest number of objects that can be updated. This clause must have a non-negative integer as its upper bound. Optional.
returning-clause:Returns the data you updated as specified in the result_expression.
RBAC Privileges
User executing the UPDATE statement must have the Query Update privilege on the target keyspace. If the statement has any clauses that needs data read, such as SELECT clause, or RETURNING clause, then Query Select privilege is also required on the keyspaces referred in the respective clauses. For more details about user roles, see Authorization.
For example,
To execute the following statement, user must have the Query Update privilege on travel-sample.
UPDATE `travel-sample` SET foo = 5
To execute the following statement, user must have the Query Update privilege on the travel-sample and Query Select privilege on beer-sample.
UPDATE `travel-sample`
SET foo = 9
WHERE city = (SELECT raw city FROM `beer-sample` WHERE type = "brewery"
To execute the following statement, user must have the Query Update privilege on `travel-sample` and Query Select privilege on `travel-sample`.
UPDATE `travel-sample`
SET city = “San Francisco”
WHERE lower(city) = "sanfrancisco"
RETURNING *
Example
The following statement changes the "type" of the product, "odwalla-juice1" to "product-juice".
UPDATE product USE KEYS "odwalla-juice1" SET type = "product-juice" RETURNING product.type
"results": [
{
"type": "product-juice"
}
]
This statement removes the "type" attribute from the "product" keyspace for the document with the "odwalla-juice1" key.
UPDATE product USE KEYS "odwalla-juice1" UNSET type RETURNING product.*
"results": [
{
"productId": "odwalla-juice1",
"unitPrice": 5.4
}
]
This statement unsets the "gender" attribute in the "children" array for the document with the key, "dave" in the tutorial keyspace.
UPDATE tutorial t USE KEYS "dave" UNSET c.gender FOR c IN children END RETURNING t
"results": [
{
"t": {
"age": 46,
"children": [
{
"age": 17,
"fname": "Aiden"
},
{
"age": 2,
"fname": "Bill"
}
],
"email": "dave#gmail.com",
"fname": "Dave",
"hobbies": [
"golf",
"surfing"
],
"lname": "Smith",
"relation": "friend",
"title": "Mr.",
"type": "contact"
}
}
]
Starting version 4.5.1, the UPDATE statement has been improved to SET nested array elements. The FOR clause is enhanced to evaluate functions and expressions, and the new syntax supports multiple nested FOR expressions to access and update fields in nested arrays. Additional array levels are supported by chaining the FOR clauses.
Example
UPDATE default
SET i.subitems = ( ARRAY OBJECT_ADD(s, 'new', 'new_value' )
FOR s IN i.subitems END )
FOR s IN ARRAY_FLATTEN(ARRAY i.subitems
FOR i IN items END, 1) END;
If you're using structured (json) data, you need to read the existing record then update the field you want in your program's data structure and then send the record up again. You can't update individual fields in the json structure without sending it all up again. There isn't a way around this that I'm aware of.
It is indeed true, to update individual items in a JSON doc, you need to fetch the entire document and overwrite it.
We are working on adding individual item updates in the near future.