The list of all the queries

Column names that make joining tables more difficult (very similar names)

Query goal: Find foreign keys where the name of the foreign key column and the corresponding primary key/unique column is different and the difference is one character. Exclude foreign key columns that refer to the key of the same table because within each named table column names must be different. Simplify writing queries that have to join data from multiple base tables. If the columns that participate in the join condition have the same name, then one can use the USING syntax.
Notes about the query: The query finds the foreign keys where the Levenshtein distance between the primary table column name and child table column name is one. The query uses a function from the fuzzystrmatch extension.
Query type: Problem detection (Each row in the result could represent a flaw in the design)
Query reliability: High (Few or no false-positive results)
Query license: MIT License
Fixing suggestion: Rename the key column of the primary table or the foreign key column of the child table.
Data source: system catalog only
SQL query: Click on query to copy it

CREATE EXTENSION IF NOT EXISTS fuzzystrmatch;
with fk as (select 
o.conname,
(select nspname from pg_namespace where oid=f.relnamespace) as foreign_schema,
f.relname as foreign_table,
f.oid as foreign_table_oid,
unnest(o.confkey) AS foreign_col,
(select nspname from pg_namespace where oid=c.relnamespace) as target_schema,
c.relname as target_table, 
c.oid as target_table_oid,
unnest(o.conkey) AS target_col
from pg_constraint o inner join pg_class c on c.oid = o.conrelid
inner join pg_class f on f.oid = o.confrelid 
where o.contype = 'f'),
fk_columns as (
select fk.conname, fk.foreign_schema, fk.foreign_table, a_foreign.attname as foreign_col, fk.target_schema, fk.target_table, a_target.attname as target_col
from fk inner join pg_attribute a_foreign on fk.foreign_col = a_foreign.attnum and fk.foreign_table_oid = a_foreign.attrelid and a_foreign.attisdropped = false
inner join pg_attribute a_target on fk.target_col = a_target.attnum and fk.target_table_oid = a_target.attrelid and a_target.attisdropped = false)
select *
from fk_columns
where ((foreign_schema<>target_schema) or (foreign_schema=target_schema and foreign_table<>target_table)) and foreign_col<>target_col 
and levenshtein_less_equal(foreign_col,target_col,1)=1
order by target_schema, target_table, conname;

DROP EXTENSION IF EXISTS fuzzystrmatch;

Collections where the query belongs to

Collection nameCollection description
Find problems about namesA selection of queries that return information about the names of database objects. Contains all the types of queries - problem detection, software measure, and general overview.
Find problems automaticallyQueries, that results point to problems in the database. Each query in the collection produces an initial assessment. However, a human reviewer has the final say as to whether there is a problem or not .

Categories where the query belongs to

Category nameCategory description
Comfortability of data managementQueries of this category provide information about the means that have been used to make the use or management of database more comfortable and thus, more efficient.
NamingQueries of this category provide information about the style of naming.
Relationships between tablesQueries of this category provide information about how database tables are connected to each other and whether such connections have been explicitly defined and whether it has been done correctly.

Reference materials for further reading

Reference
https://www.postgresql.org/docs/current/fuzzystrmatch.html
https://en.wikipedia.org/wiki/Levenshtein_distance
https://www.neilwithdata.com/join-using

The list of all the queries