Postgres unique constraints and indexes
Introduction
Unique constraints and indexes are both used to ensure the uniqueness of data in database tables. However, there are some key differences between the two approaches.
Unique constraints and indexes in Postgres
Unique Constraint
- Explicitly defined in the table definition using the
CONSTRAINT
keyword. - Enforce uniqueness by preventing duplicate values from being inserted into the columns specified in the constraint.
- can be used to create primary keys.
- Always applies to all rows in the table.
Index
- Created using the
CREATE INDEX
statement. - Speed up queries by providing a faster way to locate data in a table.
- Can be unique or non-unique.
- Can be applied to all rows or only to a subset of rows (partial index).
Recommended method
According to the Postgres documentation, using ALTER TABLE ... ADD CONSTRAINT
is the preferred way to add unique constraints to a table. This is because creating unique indexes specifically to enforce uniqueness is considered an implementation detail and should not be accessed directly.
Practical results
Performance: Generally, unique constraints and unique indexes perform similarly in terms of query speed. However, partial indexes can improve the performance of queries that access only a subset of the data.
Foreign keys: Unique constraints can be referenced by foreign keys, but unique indexes cannot.
Constraint Overhead: Unique constraints have a slight overhead compared to unique indexes because they require additional maintenance operations when inserting or updating data.
Example
To illustrate the difference between a unique constraint and an index, let’s create a table with both a unique constraint and a unique index:
CREATE TABLE foo ( id SERIAL PRIMARY KEY, code INTEGER, label TEXT, CONSTRAINT foo_uq UNIQUE (code, label) ); CREATE UNIQUE INDEX foo_idx ON foo (code, label);
Both the unique constraint (foo_uq) and the unique index (foo_idx) will enforce uniqueness of the (code, label) combination. However, you should prefer using unique constraints as it is the recommended approach in Postgres.
Partial Index
To create a partial index, use the CREATE INDEX
clause within the WHERE
statement:
CREATE UNIQUE INDEX foo_partial_idx ON foo (code) WHERE label IS NOT NULL;
This index only applies to rows where label
is not NULL
.
Add constraints using indexes
You cannot add unique constraints using partial indexes. However, you can create a unique constraint using an existing unique index:
ALTER TABLE foo ADD CONSTRAINT foo_partial_uq UNIQUE USING INDEX foo_partial_idx;
The above is the detailed content of Postgres Unique Constraints vs. Indexes: When Should You Use Which?. For more information, please follow other related articles on the PHP Chinese website!

TograntpermissionstonewMySQLusers,followthesesteps:1)AccessMySQLasauserwithsufficientprivileges,2)CreateanewuserwiththeCREATEUSERcommand,3)UsetheGRANTcommandtospecifypermissionslikeSELECT,INSERT,UPDATE,orALLPRIVILEGESonspecificdatabasesortables,and4)

ToaddusersinMySQLeffectivelyandsecurely,followthesesteps:1)UsetheCREATEUSERstatementtoaddanewuser,specifyingthehostandastrongpassword.2)GrantnecessaryprivilegesusingtheGRANTstatement,adheringtotheprincipleofleastprivilege.3)Implementsecuritymeasuresl

ToaddanewuserwithcomplexpermissionsinMySQL,followthesesteps:1)CreatetheuserwithCREATEUSER'newuser'@'localhost'IDENTIFIEDBY'password';.2)Grantreadaccesstoalltablesin'mydatabase'withGRANTSELECTONmydatabase.TO'newuser'@'localhost';.3)Grantwriteaccessto'

The string data types in MySQL include CHAR, VARCHAR, BINARY, VARBINARY, BLOB, and TEXT. The collations determine the comparison and sorting of strings. 1.CHAR is suitable for fixed-length strings, VARCHAR is suitable for variable-length strings. 2.BINARY and VARBINARY are used for binary data, and BLOB and TEXT are used for large object data. 3. Sorting rules such as utf8mb4_unicode_ci ignores upper and lower case and is suitable for user names; utf8mb4_bin is case sensitive and is suitable for fields that require precise comparison.

The best MySQLVARCHAR column length selection should be based on data analysis, consider future growth, evaluate performance impacts, and character set requirements. 1) Analyze the data to determine typical lengths; 2) Reserve future expansion space; 3) Pay attention to the impact of large lengths on performance; 4) Consider the impact of character sets on storage. Through these steps, the efficiency and scalability of the database can be optimized.

MySQLBLOBshavelimits:TINYBLOB(255bytes),BLOB(65,535bytes),MEDIUMBLOB(16,777,215bytes),andLONGBLOB(4,294,967,295bytes).TouseBLOBseffectively:1)ConsiderperformanceimpactsandstorelargeBLOBsexternally;2)Managebackupsandreplicationcarefully;3)Usepathsinst

The best tools and technologies for automating the creation of users in MySQL include: 1. MySQLWorkbench, suitable for small to medium-sized environments, easy to use but high resource consumption; 2. Ansible, suitable for multi-server environments, simple but steep learning curve; 3. Custom Python scripts, flexible but need to ensure script security; 4. Puppet and Chef, suitable for large-scale environments, complex but scalable. Scale, learning curve and integration needs should be considered when choosing.

Yes,youcansearchinsideaBLOBinMySQLusingspecifictechniques.1)ConverttheBLOBtoaUTF-8stringwithCONVERTfunctionandsearchusingLIKE.2)ForcompressedBLOBs,useUNCOMPRESSbeforeconversion.3)Considerperformanceimpactsanddataencoding.4)Forcomplexdata,externalproc


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

SublimeText3 Mac version
God-level code editing software (SublimeText3)

SublimeText3 English version
Recommended: Win version, supports code prompts!

SublimeText3 Linux new version
SublimeText3 Linux latest version
