I have a container within CosmosDB that houses items. I am needing to find out the count of how many records I have within my container with the conditions of: Source and Date
This is a sample JSON schema in which each of my records/items holds. Each record has a unique id and acts as a single count.
{
"id": "1111111111122222222233333333",
"feedback": {
"Source": "test"
"Date": "1980-10-15T00:04:34Z",
"Ser": "test",
"Count_Of_Comments": "1",
"Count_Of_Votes": "1"
}
The container within CosmosDB looks like something like this:
Goal:
**I wish to return, the numb*er of id records (or the count) based on the Source and the Date.
This is what I have tried (below), however this does not seem to work and I am wondering if I am missing something here. Any help or suggestions are appreciated.
SELECT VALUE COUNT(c.id), c.Source, c.Date
FROM C
Where Source == "test", AND Date == "1980-10-15T00:04:34Z"
As David comments,there are some syntax errors.Please try this sql:
SELECT value COUNT(c.id) FROM c Where c.feedback.Source = "test" AND c.feedback.Date = "1980-10-15T00:04:34Z"
If you need Source and Date,you can try this:
SELECT COUNT(c.id) AS Count,max(c.feedback.Source) as Source,max(c.feedback.Date) as Date
FROM c
Where c.feedback.Source = "test" AND c.feedback.Date = "1980-10-15T00:04:34Z"
By the way,both COUNT(c.id) AND COUNT(1) can achieve your goal in your situation.More detail about SQL Query，you can refer to this documentation.
Hope this can help you.
Related
I have a controller to make a room which needs a JsonBody in order to add the room:
{
"roomName": "Sol",
"properties": "Geluidsdichte kamer",
"capacity": 40,
"buildingName": "16A",
"location": "Leuven",
"reservableDates": ["2022-12-03", "2022-12-04", "2022-12-05"],
"imageUrl":"www"
}
Here we find a reservableDates object which is just a list of dates when the room is available for reservation
Now the backend code to put this code into the database isn't relevant for my problem so I will not state this here.
However the output I get in my database is this...
select * from rooms inner join rooms_reservable_dates
on room_id = rooms_room_id;
Now I have another function in my backend so I can update a room (For example change its available reservable dates, but the problem is that I don't know how to write the query so I can change the reservable dates while also updating the roomName for example.
I'm using JpaRepository in SpringBoot so I have to make a custom query for this.
In Postgresql I have 2 tables Rooms (with all the properties found in the picture except for the reservable_dates) and the other table is rooms_reservable_dates (which has the roomId and the dates that the room is available.
Thank you very much
I run this simple query in Logic App using the "Execute a SQL query (V2)" connector to find out if a number exists in my table.
select count(*) from users where user_number='724-555-5555';
If the number exist, I get this JSON , but somehow I cant parse it.
[
{
"": 1
}
]
Any idea how to simply retrieve 0 or 1 ?
Thanks
David
You need to add an explicit column name:
SELECT
count(*) AS cnt
FROM
users
WHERE
user_number = '724-555-5555';
That will give you this result:
[ { "cnt": 1 } ]
...which is valid JSON.
I am able to use the following code to retrieve documents from a Fauna collection that have a date which falls between start and end dates:
Paginate(Range(Match(Index("orders_by_date")) , start, end))
Is it possible to add another criteria to this statement to retrieve not only, in this case, orders between two dates but also have the field status = "completed".
Thank you
You can create an index that way:
CreateIndex(
{
name:'orders_by_date_status',
source:Collection("orders"),
terms: [{field:['data','status']}],
values:[{field:['data','order_date']},{field:['ref']}]
}
)
and query your collection with a query like this:
Paginate(
Range(
Match('orders_by_date_status','completed'),
[Date("2020-03-20")],
[Date("2020-06-20")]
)
)
to get back something like this:
{
data: [
[Date("2020-05-20"), Ref(Collection("orders"), "285246145700037121")],
[Date("2020-06-20"), Ref(Collection("orders"), "285246152717107713")]
]
}
Hope this answers your question.
Luigi
I am new to Couchbase and kind a stuck with the following problem.
This query works just fine in the Couchbase Query Editor:
SELECT
p.countryCode,
SUM(c.total) AS total
FROM bucket p
USE KEYS (
SELECT RAW "p::" || ca.token
FROM bucket ca USE INDEX (idx_cr)
WHERE ca._class = 'backend.db.p.ContactsDo'
AND ca.total IS NOT MISSING
AND ca.date IS NOT MISSING
AND ca.token IS NOT MISSING
AND ca.id = 288
ORDER BY ca.total DESC, ca.date ASC
LIMIT 20 OFFSET 0
)
LEFT OUTER JOIN bucket finished_contacts
ON KEYS ["finishedContacts::" || p.token]
GROUP BY p.countryCode ORDER BY total DESC
I get this:
[
{
"countryCode": "en",
"total": 145
},
{
"countryCode": "at",
"total": 133
},
{
"countryCode": "de",
"total": 53
},
{
"countryCode": "fr",
"total": 6
}
]
Now, using this query in a spring-boot application i end up with this error:
Unable to retrieve enough metadata for N1QL to entity mapping, have you selected _ID and _CAS?
adding metadata,
SELECT
meta(p).id AS _ID,
meta(p).cas AS _CAS,
p.countryCode,
SUM(c.total) AS total
FROM bucket p
trying to map it to the following object:
data class CountryIntermediateRankDo(
#Id
#Field
val id: String,
#Field
#NotNull
val countryCode: String,
#Field
#NotNull
val total: Long
)
results in:
Unable to execute query due to the following n1ql errors:
{“msg”:“Expression must be a group key or aggregate: (meta(p).id)“,”code”:4210}
Using Map as return value results in:
org.springframework.data.couchbase.core.CouchbaseQueryExecutionException: Query returning a primitive type are expected to return exactly 1 result, got 0
Clearly i missed something important here in terms of how to write proper Couchbase queries. I am stuck between needing metadata and getting this key/aggregate error that relates to the GROUP BY clause. I'd be very thankful for any help.
When you have a GROUP BY query, everything in the SELECT clause should be either a field used for grouping or a group aggregate. You need to add the new fields into the GROUP by statement, sort of like this:
SELECT
_ID,
_CAS,
p.countryCode,
SUM(p.c.total) AS total
FROM testBucket p
USE KEYS ["foo", "bar"]
LEFT OUTER JOIN testBucket finished_contacts
ON KEYS ["finishedContacts::" || p.token]
GROUP BY p.countryCode, meta(p).id AS _ID, meta(p).cas AS _CAS
ORDER BY total DESC
(I had to make some changes to your query to work with it effectively. You'll need to retrofit the advice to your specific case.)
If you need more detailed advice, let me suggest the N1QL forum https://forums.couchbase.com/c/n1ql . StackOverflow is great for one-and-done questions, but the forum is better for extended interactions.
I'm trying to find rows with duplicate fields in an array of structs within a Google BigQuery table, using the new Standard SQL. The data in the table (simplified) where each row looks a bit like this:
{
"Session": "abc123",
"Information" [
{
"Identifier": "e8d971a4-ef33-4ea1-8627-f1213e4c67dc"
},
{
"Identifier": "1c62813f-7ec4-4968-b18b-d1eb8f4d9d26"
},
{
"Identifier": "e8d971a4-ef33-4ea1-8627-f1213e4c67dc"
}
]
}
My end goal is to display the rows that have Information entities with duplicate Identifier values present. However, most of the queries I attempt get an error message of the following form:
Cannot access field Identifier on a value with type ARRAY<STRUCT<Identifier STRING>>
Is there a way to work with the data inside of a STRUCT within an ARRAY?
Here's my first attempt at a query:
SELECT
Session,
Information
FROM
`events.myevents`
WHERE
COUNT(DISTINCT Information.Identifier) != ARRAY_LENGTH(Information.Identifier)
LIMIT
1000
And another using a subquery:
SELECT
Session,
Information
FROM (
SELECT
Session,
Information,
COUNT(DISTINCT Information.Identifier) AS info_count_distinct,
ARRAY_LENGTH(Information) AS info_count
FROM
`events.myevents`
WHERE
COUNT(DISTINCT Information.Identifier) != ARRAY_LENGTH(Information.Identifier)
LIMIT
1000)
WHERE
info_count != info_count_distinct
Try below
SELECT Session, Identifier, COUNT(1) AS dups
FROM `events.myevents`, UNNEST(Information)
GROUP BY Session, Identifier
HAVING dups > 1
ORDER BY Session
Should give you what you expect plus number of dups.
Like below (example)
Session Identifier dups
abc123 e8d971a4-ef33-4ea1-8627-f1213e4c67dc 2
abc345 1c62813f-7ec4-4968-b18b-d1eb8f4d9d26 3