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SQL anti-pattern Query anti-pattern

Today I read the SQL anti-pattern, so I will extract some of the terms and anti-patterns that I came out and summarize.

①Fear of the Unknown

An anti-pattern that uses NULL as a general value or treats a general value as NULL

Demerit

  • Since NULL is not the same as zero, concatenating a string with NULL returns NULL
  • unknown will be returned when searching
  • Difficult to handle NULL like general value in SQL parameterized with prepared statement

When we can use anti-pattern

Using NULL itself is not an anti-pattern. It is an anti-pattern that NULL is used as a general place or general value is treated as equivalent to NULL.

②Ambiguous group

An anti-pattern that refers to a non-grouping column

Demerit

  • Single-Value Rule
  • SQL does not always make the intent of the query … Since the MAX function is used for another column, SQL will properly judge which bug_id you want to output

Small note

Using the DISTINCT keyword for query qualifiers reduces the rows in the query result and makes all rows unique.

When we can use anti-pattern

MySQL and SQLite can not guarantee the reliability of results against columns that violate the single value principle. We should try to use unambiguous columns.

③Random selection

An anti-pattern that sorts data randomly.

Demerit

  • Sorting by non-deterministic expression (RAND function) can not get the benefit from the index
  • If indexes can not be used, the table must be sorted manually by query results (table scan) index is much slower than sorting

When we can use anti-pattern

When the data set is small

④Poorman’s Search Engine

Anti-pattern to use pattern match terminology.

Demerit

  • Scan all rows of table because you can not get the benefits of the index
  • Unintended match occurred

When we can use anti-pattern

If you use it correctly for simple applications you can get great value. Using pattern matching terminology for complex queries faces difficulties.

As a solution use appropriate tools such as full text search engines.

  • MySQL full text index
  • Text index in Oracle
  • Full text search on Microsoft SQL Server
  • Text search in PostgreSQL
  • Full text search (FTS) in SQLite
  • Third party search engines

⑤Spaghetti Query

Anti-pattern to solve complicated problems in one step

Demerit

  • Unintended result … ** Cartesian product ** arises. It is created when two tables specified in a query do not have conditions to restrict association. Combining the two tables makes each row of one table pair with all the rows of the other table
  • It is difficult to describe, modify, and debug queries
  • Cost increase at runtime

When we can use anti-pattern

If the report’s requirements are too complicated to achieve with a single SQL query, it is better to create multiple reports.

⑥implicit column

Software developers do not like to hit a lot of keys. Specifying all column names in SQL queries tends to avoid using wildcards.

An anti-pattern that falls into a shortcut trap.

Demerit

  • There is a possibility that performance and scalability may be adversely affected

When we can use anti-pattern

It is reasonable when you want to draw ad hoc SQL quickly. Column names should be specified explicitly whenever possible.