I've got a Solr instance containing variable product prices that powers a site search. To search around a date and show results even if the exact requested date is not available, we use a query like this:
product_id: 759 AND arrival_date:[2016-05-20T00:00:00Z-3DAYS TO 2016-05-20T00:00:00Z+3DAYS]
The results are grouped by product_id. The grouping inherits a price asc sorting order from the main query.
This, unfortunately, has the negative side effect of always returning documents with the lowest price, regardless of the date, even if the requested date is available.
How can I sort within a group by proximity to a date?
Use the group.sort=arrival_date desc
Alternatively if you want to sort all results based on the date first then the price us &sort=date desc,price asc
Related
I have a table that shows the recurrence of purchasing a product, with the columns: product_id, report_date, quantity.
I need to list in a table the products that are more than 50 days unsold. The opposite I managed to do (list those that were sold in the last 50 days) but the opposite logic has not yet been able to implement.
Does anyone have any tips?
An example of the table:
product_id,date,report_date,quantity
329,2019-01-02 08:19:17,2019-01-02 14:34:12,6
243,2019-01-03 09:19:17,2019-01-03 15:34:12,6
238,2019-02-02 08:19:17,2019-03-02 14:34:12,84
170,2019-04-02 08:19:17,2019-04-02 14:34:12,84
238,2019-04-02 08:19:17,2019-04-02 14:34:12,8
238,2019-04-02 08:19:17,2019-04-02 14:34:12,100
238,2019-08-02 08:19:17,2019-08-02 14:34:12,100
238,2019-10-02 08:19:17,2019-10-02 14:34:12,100
170,2020-01-02 08:19:17,2020-01-02 14:34:12,84
170,2020-01-02 08:19:17,2020-01-02 14:34:12,84
There are many steps to do this task. I assume the date column is the one to work with. Your example from table includes duplicated entries. Is it right that at the same time the order is there twice?
So here are the steps:
At first add an calculated field date_past to your dataset:
DATE_DIFF(CURRENT_DATE(),date)
To the dataset add a filter SO_demo with:
include date_past<30
Then blend the data with it self. Use product_id as Join key. Only the 2nd dataset has the SO_demo filter. Add to the dimension of this dataset the calculated field sold_last_30_days with the formula "yes".
In the table/chart to display add a filter on the field include sold_last_30_days is Null.
Please find my use case below and suggest the appropriate solution:
We have done declarative partitioning over our table A based on some key and further range sub partitioned each partition on the basis of createddate range of 90 days.
In the search query to display last 90 day data , I give both column B and createddate which may pick any of the required partitions.
But how can I display last 90 days data in which a record which is modified last is also shown at the top but its created date might not lie in the last 90 days range..
Basically, I need to partition my huge table based on some key and also on date to split the data into smaller dataset for faster query . The UI needs to display the latest modified records first but the created date also needs to be given in the query to pick the right partition...
Can we do partition differently to achieve this?
Should i find the max modified date and give it in the range of the created date.
Yes I have a btree index on the modified_date column currently.
SELECT * FROM partitioned_table where
A ='Value'
AND created_date >= '2021-03-01 08:16:13.589' and created_date <= '2021-04-02 08:16:13.589' ORDER BY viewpriority desc OFFSET 0 ROWS FETCH NEXT 200 ROWS ONLY;
Here viewpriority is basically a long value containing created_date in milliseconds.
Issue here is : I want to somehow include modified_date also in this query to get the records sorted by modified_date . But that sorting will happen only in the specified created_date range only. I want those latest modified records also whose created_date might not lie in this range.
i'm new to SOQL and SF, so bear with me :)
I have Sales_Manager__c object tied to Rent__c via Master-Detail relationship. What i need is to get Manager with highest number of Rent deals for a current year. I figured out that the Rents__r.size column stores that info. The question is how can i gain access to the size column and retrieve highest number out of it?
Here is the picture of query i have
My SOQL code
SELECT (SELECT Id FROM Rents__r WHERE StartDate__c=THIS_YEAR) FROM Sales_Manager__c
Try other way around, by starting the query from Rents and then going "up". This will let you sort by the count and stop after say top 5 men (your way would give you list of all managers, some with rents, some without and then what, you'd have to manually go through the list and find the max).
SELECT Manager__c, Manager__r.Name, COUNT(Id)
FROM Rent__c
WHERE StartDate__c=THIS_YEAR
GROUP BY Manager__c, Manager__r.Name
ORDER BY COUNT(Id) DESC
LIMIT 10
(I'm not sure if Manager__c is the right name for your field, experiment a bit)
I'm working on a SSAS cube to allow user to analyze some sales.
So, I created a fact table to record all sales and few dimensions to browse inside data (category / location & store, etc...).
This is a example of the fact table output (from SQL Server Management Studio) :
When I browse my cube, I can review all sales including date, quantity, etc.
However, when I add some fields like the "unit price" or the "unit cost", it returns me a strange result probably due to an aggregate behavior.
It seems it return the sum of all matching rows (aggregateFunction property).
How to simply display the unit price of a sale without apply any calculation to the unit price column. The None value for the AttributeFunction display BLANK/NULL.
If your unitCost and unitPrice are the same for each product (I mean unitCost can be only 77.6 for product_id = 2), you can just use average (or even emulate average by SUM/COUNT) - but only for product dimension on axis!
Another dimensions will show real average values.
Maybe it's better to use this 'static' fields like attribute properties in 'Product' dimension? But you still need to add some logic to choose one value for several (or all) product members selected.
I'm using solr 3.6 and I'm kinda stuck trying to perform a special query.
I'm actually using facets by date range, the face.date.gap is set to +1DAY. Of course, the facet is supposed to return the count of docs at a date range but I also need to get the sum of a special field at the same ranges used in facet. It's like I need to count how many votes I have daily monthly, weekly, whatever... it depends on the gap params.
Any ideas? Should I use the group.query or facet.query?
One suggestion I have is to treat the weeks, days separately, and index them. For ex. Today is part of 24th week. Another suggestion is not to rule out multiple searches to service one request. One to calculate all oth facets and one to return counts for given date range (based on search results from first query).