Attribute domains also prevent spelling mistakes or typos. Even if data collectors knew that they only use the term blue for blue eyes, they might misspell the word (blue) or accidentally press the wrong key while typing the word (vlue) in a text box. My God, it seems that every point you define as THE naming convention is the exact opposite of what I think is a good naming convention. Databases use fields to manage relationships between tables. This is done by creating matching fields in two or more tables. For example, if you have a named table toy_store stored in a database and an employee table to track employees in each store, create a common field between the two tables that is populated with a memory identifier, for example. The Store ID value of a particular toy store would be the same in both tables. Some field names appear in ArcGIS with their fully qualified names for tables stored in an enterprise geodatabase. For example, if you create or import a polygonal feature class that contains a field named Area, the name of the database, schema, and table are appended. This is the name you see in the attribute table of the feature class.
This means that for a polygonal feature class named archsites stored in the master schema of the museum database, the Area field would be MUSEUM. PROF. ARCHSTÄTTEN. AREA. *Don`t use ambiguous column names Ok, I`ll give you this, but for me it`s more due to logic than anything else. Using subtypes to store groups of related entities can improve query performance. If you have stored the different data types in separate feature classes instead of using subtypes, the database will have more feature classes and it may take longer to search. Attribute domains are rules that specify valid values for a field in a table in a geodatabase. They enhance data integrity by limiting the data values that a user can add to a particular field. There are two types of attribute domains that you can use to restrict field values: encoded value domain and domain domain. Fields in a table store the same category of data in the same data type. For example, if you have a name field in a customer table, the entries in that field are all customer names and are stored as text.
You would not mix entries, i.e. h., you should not enter a customer name for one record and a product name for another record in the same field. Do you see the problem? If SQL had used full IDs like email_id, star_id, and station_id, the errors would have stood out like a sore thumb when I typed that SQL, not later when I was trying to figure out what I had done wrong and why I wasn`t drinking as much as I should. Name the columns as clearly as possible. For example, a temperature column makes no sense for this: * Spelling ID fields (item_id instead of id) This is certainly a topic that many people disagree on, many people think that every table should have an Id field and that only the reference of a foreign table should have the ID. Especially if you want to make things more generic. And of course, there are also a lot of people who think you should have the full name in both tables. Personally, I opt for the Id variant for the moment because it facilitates a lot of things. You can also use defined expressions to specify the column type. For example, if you create a separate unique ID for a table that you use for indexing, you can name the field ID_UK, where UK indicates that it is a unique key. It should also be noted that in the example above, the owner describes the intent better than company_id.
If you think this might be confusing, you can call the column owning_company_id. This can still incorporate the meaning of the column into the name while giving you a strong indication of its intent. Just use plural nouns and you`re much less likely to have a collision. One of the main features of the Fluent Mapping API is that, by default, when using normal (not automatically implemented) properties, the Fluent Mapping API expects the corresponding field to have the same name, but in the case of Camel. If your field name has a different name than expected, an error occurs when you build the project. In this case, you must specify custom naming rules. Using naming rules is extremely appropriate if you also have naming conventions. Naming rules apply only to standard C#/VB properties. This is because the Fluent Mapping API was unable to retrieve the name from the field name. For automatically implemented properties, the Fluent Mapping API automatically finds the actual names of the different fields.
If all field names follow the same convention, we recommend that you define custom naming rules instead of using the HasFieldName method for each property. If no naming rules are specified by the developer, the Fluent Mapping API creates field names in case they are the default. This means that the main character of every word except the first is uppercase. However, VB is not case-sensitive and this is not allowed – you cannot have a variable with the same name as another class member. For this reason, you must explicitly specify naming rules for VB classes (with normal properties). I`ve been a SQL developer for 30 years. And that`s so wrong. Table.id is the PK (or at least the unique constraint) for this table. Table.other_id is the foreign key of the linked table.
Origin.id = email.id immediately stands out as false because at least one page must link to the FK field, unless one of them is a 1:1 extension table. Rule #4: Try creating a primary key for your tables. A primary key uniquely defines each record in a table. If your table does not contain a combination of fields that uniquely defines a record, you must create an AutoNumber field that acts as the primary key. When I first published this article a long time ago, people complained that they needed to see the second version of the ID query because they didn`t see what was wrong with the first version. After all, origin.id = thread.id looks good. It has nothing to do with the language I use, I even use several languages.