When should lookup values for different fields be combined in to a single lookup table?
Date : March 29 2020, 07:55 AM
seems to work fine As you've identified there are two main choices;
On the one hand you could have many identically structured lookup tables. The disadvantage of this approach is the apparent duplication of an identical table structure. It looks like a form of duplication which you no doubt want to avoid.
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nHibernate to single column lookup table
Date : March 29 2020, 07:55 AM
Hope that helps NHibernate only complains if the specified keygenerator doesn't support the type. I guess you haven' specified any generator which defaults to identity which can only handle integral types. with assigned you could provide the ids Id(x => x.Id).GeneratedBy.Assigned();
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In a single MySQL query lookup one column's value in another table
Date : March 29 2020, 07:55 AM
To fix the issue you can do What you are looking for is a JOIN. SELECT `f_stock`.`size`, `f_stock`.`length`, `f_type`.`type`
FROM `f_stock`
LEFT JOIN `f_type` ON `f_type`.`id` = `f_stock`.`type`
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MS Access combobox column to lookup a third table (multi-dimensional lookup?)
Date : November 09 2020, 09:01 AM
I wish this help you The RowSource of your combobox should be a query that JOINs both tables, then you can use any column you want. Something like SELECT tests.id, tests.test_name, teachers.teacher_name
FROM tests INNER JOIN teachers ON tests.teacher_id = teachers.id
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R update zero values in a data frame using a lookup table using the column names for the lookup
Date : March 29 2020, 07:55 AM
This might help you I would like to be able to replace zero values in a data frame using a lookup table of replacement values, where the replacement value is different for each column. Trust that the simple example below explains the problem and the desired outcome. , An option with base R lku$E[col(dfr)] * (!dfr) + dfr
# A B C
#1 0.5 5.00 1.000
#2 1.0 4.00 3.000
#3 2.0 3.00 0.003
#4 3.0 2.00 4.000
#5 4.0 1.00 2.000
#6 5.0 0.04 5.000
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