Time, TIMETZ, Timestamp, and TimestampTZ in PostgreSQL read blog → We could join these two tables by, for example, running a query that checks each company name in companies to see if the name exists as a substring in any of the rows of leads.job_title. We could link those two tables informally by including the name of each lead’s company in a string somewhere, for example as part of a column job_title that might have values like ’sales rep at Veridian Dynamics’. The biggest foreign key mistake of all is not using foreign keys, and instead relying on informal links between databases.Ī quick example will be illustrative here: imagine our sales database has a table for leads (individual people) and a separate table for companies. Bonus: Using informal links instead of foreign keys Otherwise, as you scale and grow, what was a difference of a few milliseconds on your small test database can turn into lag that your users feel acutely on a production database at scale. The important thing to remember here is that while primary indexes are created automatically when you designate a table’s primary key, foreign key indexes typically must be created manually.ĭon’t skip that step! Even if you’re working with a small enough database that the performance improvements don’t make a meaningful difference yet, it’s better to get indexes in place. (Full table scans are slow, costly, and best avoided.) How frequently your application performs these joins will vary, but in most cases the creation of a foreign key index is warranted because it will allow those queries to avoid triggering a full table scan. However, failing to use foreign key indexes can mean you’re unintentionally taking a big performance hit, particularly when you’re operating at scale.įoreign key indexes can significantly improve performance for queries that involve joins between the parent and child tables. Not creating an index for a foreign key won’t produce an error message. This “mistake” is a bit different from the other two we’ve talked about. Not creating foreign key indexes when you add foreign keys If upgrading to a database like CockroachDB isn’t possible, though, the next-best defense against dangling foreign keys is good documentation that highlights foreign key relationships, and careful planning, particularly if anything is being removed from the database. The best way to avoid dangling foreign keys is simply to use a modern database system that can validate constraints when they’re added to a table, and that won’t allow users to break the database’s referential integrity by removing data that’s required by another table. RELATED Performance Benefits of NOT NULL Constraints on Foreign Key Reference Columns If you’re attempting to drop a column or table but repeatedly getting an error, it could be because you’re attempting to remove something that’s a foreign key constraint in another table. Other database systems may throw errors that are a bit tougher to parse. In CockroachDB, for example, attempting to drop a table that’s referenced by another table’s foreign key will result in the following error: ERROR: "table_1" is referenced by foreign key from table "table_2". Some database management systems will allow this, leaving a dangling foreign key, while others will throw errors. More commonly, dangling foreign keys crop up when you remove a table or column that was being referenced elsewhere in the database. Many database systems, including CockroachDB, prevent this by making it impossible to create a table that references a nonexistent table or column – if you try, the CREATE TABLE statement will fail with an error such as ERROR: relation "referenced_table" does not exist. If you subsequently forget to create that referenced table or column, you’ve got a dangling foreign key. With some database management systems, you can create a dangling foreign key simply by creating the referencing table first, and including a foreign key constraint that links it to a column in the next table you’re planning to create. This is obviously bad practice, but it happens – mostly because it’s possible to create dangling foreign keys accidentally. Dangling foreign keysĪ dangling foreign key is a foreign key that links to a nonexistent table or column. If you’re altering an existing table with a new foreign key constraint, your database system will likely return an error if you attempt to create a foreign key constraint that links columns with different data types. The easiest way to avoid this issue is to ensure that all columns linked to each other with foreign keys share the same data type when you’re creating the tables in the first place. This mismatch can then create other errors further down the line. With a SQLite database, for example, it is possible to successfully create a table with a foreign key data type mismatch. RELATED What is a foreign key? (with SQL examples)
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