Aggregating filter for Key

Aggregating filter for Key

By : Robin
Date : November 17 2020, 11:55 AM
wish help you to fix your issue
Trying to query structures like this does not work well. There are a whole whole host of problems with modelling like this, but the most clear problem is using "data" as the names for "keys".
code :
    "participants.54948a5d85f7a9527a002917": { "$exists": true }
    "_id" : ObjectId("54986d5531a011bb5fb8e0ee"),
    "owner" : "54948a5d85f7a9527a002917",
    "type" : "group",
    "deleted" : false,
    "participants" : [
        { "_id": "54948a5d85f7a9527a002917" },
        { "_id": "5491234568f7a9527a002918" },
        { "_id": "1234567aaaa7a9527a002917" }
    "participants._id": "54948a5d85f7a9527a002917"

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Aggregating R^2s in R

Aggregating R^2s in R

By : Asaf Ravid
Date : March 29 2020, 07:55 AM
I hope this helps . You can do this with the purrr package.
Here is an example with mtcars:
code :

mtcars %>%
  split(.$cyl) %>%
  map(~ lm(mpg ~ wt, data = .x)) %>%
  map(summary) %>%
  map_dbl("r.squared") %>% 
  data.frame(cyl = names(.), r2 = ., row.names = NULL)

         r2 cyl
1 0.5086326   4
2 0.4645102   6
3 0.4229655   8
df <- "your dataframe" %>%
  split(.$"zipcode") %>%
  map(~ lm("sum of sales" ~ "count of sales", data = .x)) %>%
  map(summary) %>%
  map_dbl("r.squared") %>% 
  data.frame(zipcode = names(.), r2 = ., row.names = NULL)
How do I perform a filter on the FK I'm aggregating on in a QuerySet?

How do I perform a filter on the FK I'm aggregating on in a QuerySet?

By : Dmitriy Kazeka
Date : March 29 2020, 07:55 AM
hope this fix your issue You could try using Case if you're using Django 1.8+
DISCLAIMER: The following code is an aproximation, I haven't tested this, so this could not work exactly in this way.
code :
# You will need import:
from django.db.models import Sum, IntegerField, Case, When, Value

with_scores = authors.annotate(total_book_score=Sum(
    Case(When(books__published=2015, then=Value(F('books__score'))),
        default=Value(0), output=IntegerField())  # Or float if it fits your needs.
Aggregating processor or aggregating reader

Aggregating processor or aggregating reader

By : user6102398
Date : March 29 2020, 07:55 AM
hope this fix your issue You cannot have something like an aggregating processor. Every single item that is read is processed as single item.
However, you can implement a Reader that groups items and forwards them as a whole group. to get an idea, how this could be done have a look at my answer to this question Spring Batch Processor or Dean Clark's answer here Spring Batch-How to process multiple records at the same time in the processor?.
Aggregating in SQL

Aggregating in SQL

By : Bernard Alvares
Date : March 29 2020, 07:55 AM
it fixes the issue I have a table that looks like this: , This should be obtainable with a self join
code :
    ,sum(b.Touch_Count) as SumOver30Days
    SomeTable a
    left join
        SomeTable b on
        b.User_Name = a.User_name
        --and b.Conversion_Date <= a.Conversion_Date
        --and b.Conversion_Date >= dateadd(day,-30,a.Conversion_Date)
        and cast(b.Conversion_Date as date) <= cast(a.Conversion_Date as date) 
        and cast(b.Conversion_Date as date) >= cast(dateadd(day,-30,a.Conversion_Date) as date)
group by a.User_Name, a.Conversion_Date
How to filter away records from resultset when aggregating JSON Objects in Oracle12c?

How to filter away records from resultset when aggregating JSON Objects in Oracle12c?

By : Muhammad Khalid
Date : March 29 2020, 07:55 AM
Hope this helps The JOB_HISTORY needs to be aggregated before joining with the employees. So, do a group by on JSON_OBJECTAGG in a sub-query or a CTE and then join it with employees
code :
           KEY 'empId'       VALUE E.EMPLOYEE_ID, 
           KEY 'firstName'   VALUE E.FIRST_NAME,
           KEY 'lastName' .  VALUE E.LAST_NAME,
           KEY 'jobHistory'  VALUE s.prev_jobs
           ) as j
              SELECT   J.employee_id,JSON_OBJECTAGG
                                     KEY 'job' VALUE json_object
                                            KEY 'jobId' VALUE J.JOB_ID, 
                                            KEY 'startDate' VALUE J.START_DATE,
                                            KEY 'endDate' VALUE J.END_DATE,
                                            KEY 'departmentId' VALUE J.DEPARTMENT_ID

                                    ) as prev_jobs
                                FROM   HR.JOB_HISTORY J 
              GROUP BY J.employee_id
                                )  s
ORDER BY e.employee_id;
{"empId":102,"firstName":"Lex","lastName":"De Haan","jobHistory":{"job":{"jobId":"IT_PROG","startDate":"2001-01-13T00:00:00","endDate":"2006-07-24T00:00:00","departmentId":60}}}                                                                                                                         

7 rows selected.
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