Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Merge (SQL)

A relational database management system uses SQL .mw-parser-output .monospaced{font-family:monospace,monospace}MERGE (also called upsert) statements to INSERT new records or UPDATE or DELETE existing records depending on whether condition matches. It was officially introduced in the SQL:2003 standard, and expanded[citation needed] in the SQL:2008 standard.

Standards, Implementations & Other data structures

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Merge (SQL). Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Implementations

PostgreSQLOracle DatabaseIBM Db2TeradataEXASOL
23 related topics

Other data structures

NoSQLKey-value databasesDbmRedisMongoDB
8 related topics

Usage

Right join
1 related topics

Overview

Relational database management systemSQLINSERTUPDATEDELETE
6 related topics

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Usage

Implementations

Other data structures

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Merge (SQL)

Nodes43
Edges42
Triples0
Avg. degree1.95
Density0.046512
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

sql value also update database target source set upsert existing extensions insert syntax merge statements postgresql firebird data condition join

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.