I am new to cosmos i have a collection i am trying to query the sample is below.
as the data is nested due to the nature of it. we must be able to query the sub sections of the documents also.
I am getting stuck in trying to retrieve the data of the itemCode in the below collection.
Any info would be a great help. thanks in advance.
SELECT * FROM c
where c.customerSites.pricingGroup.itemCode ="2400953"
This query returns no results.
Data collection sample
{
"customerSites": [
{
"customerCode": "196729",
"businessUnitName": "XXXXX SOUTHERN LTD",
"siteCode": "96271",
"addressCode": "_MAINXXXX",
"pricingGroup": [
{
"itemCode": 2400953,
"branches": [
8999,
3001,
3002,
3003,
3004
],
"rates": [
{
"branchCodes": [
8999,
3001,
3002,
3003
],
"discountPercentage": null,
"derivedRateId": 77735584,
"derivedRateClassification": "customrate",
"branchLevel": 109,
"derivedRateType": "P",
"durationRates": [
{
"durationType": 1,
"rate": 125
}
]
}
]
}
]
}
],
"id": "196729",
"dataType": "AccountCustomer",
"_ts": 1547161022
}
Simply do:
SELECT * FROM c where c.customerSites[0].pricingGroup[0].itemCode = 2400953
Related
I have a json array (composition) in my db and i need to make conditions
[
{
"name": "Rock",
"prices": [
{
"price": 400,
"duration": 40
}
],
"description": "Hello",
"nb_musicians": 40
}
]
And i try something like this but dont work
.where(qb => {
if (nbMusicians) {
qb.whereRaw(
`composition->
'$.nb_musicians' = ?`,
[40],
);
}
})
Thanks for help
I have a jsonb column called data in a table called reports. Here is what report.id = 1 looks like
[
{
"Product": [
{
"productIDs": [
"ABC1",
"ABC2"
],
"groupID": "Food123"
},
{
"productIDs": [
"EFG1"
],
"groupID": "Electronic123"
}
],
"Package": [
{
"groupID": "Electronic123"
}
],
"type": "Produce"
},
{
"Product": [
{
"productIDs": [
"ABC1",
"ABC2"
],
"groupID": "Clothes123"
}
],
"Package": [
{
"groupID": "Food123"
}
],
"type": "Wearables"
}
]
and here is what report.id = 2 looks like:
[
{
"Product": [
{
"productIDs": [
"XYZ1",
"XYZ2"
],
"groupID": "Food123"
}
],
"Package": [],
"type": "Wearable"
},
{
"Product": [
{
"productIDs": [
"ABC1",
"ABC2"
],
"groupID": "Clothes123"
}
],
"Package": [
{
"groupID": "Food123"
}
],
"type": "Wearables"
}
]
I am trying to get a list of all entries in reports table where at least one of data column's element has following:
type = Produce AND
where any elements of Product array OR any elements of Product array's groupID start with Food
So from the example above this query will only return the first index since
The type = Produce
groupID starts with Food for first element of Product array
The second index will be filtered out because type is not Produce.
I am not sure how to query to do AND query for groupID. Here is what I have tried to get all entries for type Produce
select * from reports r, jsonb_to_recordset(r.data) as items(type text) where items.type like 'Produce';
Sample structure and result: dbfiddle
select r.*
from reports r
cross join jsonb_array_elements(r.data) l1
cross join jsonb_array_elements(l1.value -> 'Product') l2
where l1 ->> 'type' = 'Produce'
and l2.value ->> 'groupID' ~ '^Food';
I need to get the email address from this 'facets' table I created from my firehose logs (JSON).
Now, I am using Athena to get particular information.
I need to get the email addresses from this:
This is my out of 'facets' when I pass-
SELECT * FROM "sampledb"."facets" limit 10
{email_channel={mail_event={mail={message_id=oadfosadu6237864237615, message_send_timestamp=1622696691764, from_address=abcd#jk.com, destination=[abcd#jk.com], headers_truncated=false, headers=[{name=From, value=abcd#jk.com}, {name=To, value=abcd#jk.com}, {name=MIME-Version, value=1.0}], common_headers={from=ghjk#li.com, to=[abcd#jk.com]}}, send={}, rendering_failure=null}}}
Assuming you have one column which stores json in provided format you can use json_extract with needed paths (and maybe some casts):
with dataset1 as (
select * from (values(JSON
'{
"email_channel": {
"mail_event": {
"mail": {
"message_id": "oadfosadu6237864237615",
"message_send_timestamp": 1622696691764,
"from_address": "abcd#jk.com",
"destination": [
"abcd#jk.com"
],
"headers_truncated": false,
"headers": [
{
"name": "From",
"value": "abcd#jk.com"
},
{
"name": "To",
"value": "abcd#jk.com"
},
{
"name": "MIME-Version",
"value": "1.0"
}
],
"common_headers": {
"from": "ghjk#li.com",
"to": [
"abcd#jk.com"
]
}
},
"send": {},
"rendering_failure": null
}
}
}')) as facets(facet))
select
json_extract(facet, '$.email_channel.mail_event.mail.from_address') mail_from,
CAST(json_extract(facet, '$.email_channel.mail_event.mail.destination') AS ARRAY(VARCHAR)) destination
from dataset1
And output:
mail_from
destination
"abcd#jk.com"
{abcd#jk.com}
I have Cosmos DB collection (called sample) containing the following documents:
[
{
"id": "id1",
"messages": [
{
"messageId": "message1",
"Text": "Value1"
},
{
"messageId": "message2",
"Text": "Value2"
}
]
},
{
"id": "id2",
"messages": [
{
"messageId": "message3",
"Text": "Value3"
},
{
"messageId": "message4",
"Text": "Value1"
}
]
},
{
"id": "id3",
"messages": [
{
"messageId": "message5",
"Text": "Value1"
},
{
"messageId": "message6",
"Text": "Value2"
}
]
},
{
"id": "id4",
"messages": [
{
"messageId": "message7",
"Text": "Value5"
},
{
"messageId": "message8",
"Text": "Value2"
}
]
},
]
I am trying to retrieve all the Documents, having messages and the first message has the field "Text"= 'Value1'.
In this sample the documents with the ids '1' and '3' would be retrieved. Please notice that the document with id='id2' wouldn't be retrieved,
since the value of the text of the first message is 'Value3'.
The collection as mentioned is called sample and I am running the following Query:
"select sample.id, sample.messages, ARRAY_SLICE(sample.messages, 0, 1)[0].Text as valueOfText from sample"
As you can see in the first two images, I retrieve all Documents and every one of them have the field "valueOfText" set to value of the first message, as expected.
Now when I filter the collection (the third image), I retrieve no results at all.
Is this an expected behavior?
Following your sql, got same results:
But why you have to use ARRAY_SLICE,it is used to return truncated array.Since your requirement is specific:
trying to retrieve all the Documents, having messages and the first
message has the field "Text"= 'Value1'
Just use sql:
SELECT c.id,c.messages,c.messages[0].Text as valueOfText FROM c
where c.messages[0].Text = 'Value1'
Output:
Is it possible to have a RavenDb faceted search, in a string[] field, where I would want to show facets (counts) for only values starting with a particular string, rather a range?
I'll try to explain myself better to with a simple example, imagine having an index with the below entries
ID | Values
-------------------------
1 | CatPersian, CatNormal, DogLabrador
2 | CatPersian, Camel, DogPoodle
3 | CatNormal, CatBengali, DogNormal
4 | DogNormal
I would perform a query on the above documents, and the Facet search would include a range of 'Cat*', on the 'Values' field. Is this possible? Then, I would get a result based on just the different values for cats, like:
CatPersian [2]
CatNormal [2]
CatBengali [1]
Yes, you can do that. Index the array, and then just use facets normally.
Let's see the full example. You have the following documents:
{
"Name": "John",
"FavoriteAnimals": [
"Cats",
"Dogs",
"Snails"
],
"#metadata": {
"#collection": "Kids"
}
}
{
"Name": "Jane",
"FavoriteAnimals": [
"Cats",
"Rabits"
],
"#metadata": {
"#collection": "Kids"
}
}
Now, you create the following index:
from k in docs.Kids
from animal in k.FavoriteAnimals
select new { Animal = animal }
And run this query:
from index 'YourIndex'
where startsWith(Animal , 'ca')
select facet('Animal')
And the result will be:
{
"Name": "Animal",
"Values": [
{
"Count": 2,
"Range": "cats"
}
]
}
Alternatively, you can use this index:
from k in docs.Kids
select new { k.FavoriteAnimals }
And run this query:
from index 'YourIndex'
where startsWith(FavoriteAnimals , 'ca')
select facet('FavoriteAnimals')
The difference here is that you'll get all matches for the documents that have a match.
So in this case
{
"Name": "Animal",
"Values": [
{
"Count": 2,
"Range": "cats"
},
{
"Count": 1,
"Range": "dogs"// also, snails, rabbits
}
]
}