


SQL Server: Multiple INSERT Statements vs. Single INSERT with Multiple VALUES – A Performance Paradox
The Problem: Benchmark tests surprisingly show that executing 1000 individual INSERT
statements can be faster than a single INSERT
statement with 1000 VALUES
clauses.
The Reason: SQL Server's query processing involves a crucial "binding" or "algebrizing" phase after parsing. This phase detects and handles duplicate values within the INSERT
statement, building an optimized execution plan. The time required for this phase increases dramatically with the number of unique values.
Performance Influencers:
- Data Size: Longer string values significantly increase comparison times during binding.
- Duplicate Data: Many duplicate values reduce binding time as fewer comparisons are needed.
-
Automatic Parameterization: While beneficial for smaller
INSERT
statements, auto-parameterization can become a bottleneck with a large number of values, hindering performance.
Execution Plan Analysis:
- A single
INSERT
with 1000VALUES
shows a sharp increase in compilation time beyond 250VALUES
clauses, indicating a shift to a less efficient, non-parameterized plan. - Compilation time and memory consumption rise sharply with increasing unique values.
Practical Implications:
- For large
INSERT
operations with short strings or high data redundancy, using multiple, separateINSERT
statements might be faster. - For
INSERT
operations with few unique values and long strings, a singleINSERT
with manyVALUES
might still be more efficient. - While SQL Server 2012 offered some improvements, complete resolution of this issue may require newer versions.
Further Considerations:
- Optimizer Limitations: Query optimizers aren't always perfect, especially with massive datasets.
- Cached Plan Impact: The cached plan size remains unaffected by duplicate values or string length.
-
UDF Overhead: Using User-Defined Functions (UDFs) within
INSERT
statements can negatively impact performance.
The above is the detailed content of When is Using Multiple INSERT Statements Faster Than a Single INSERT with Multiple VALUES in SQL Server?. For more information, please follow other related articles on the PHP Chinese website!

This article explores optimizing MySQL memory usage in Docker. It discusses monitoring techniques (Docker stats, Performance Schema, external tools) and configuration strategies. These include Docker memory limits, swapping, and cgroups, alongside

This article addresses MySQL's "unable to open shared library" error. The issue stems from MySQL's inability to locate necessary shared libraries (.so/.dll files). Solutions involve verifying library installation via the system's package m

The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

This article compares installing MySQL on Linux directly versus using Podman containers, with/without phpMyAdmin. It details installation steps for each method, emphasizing Podman's advantages in isolation, portability, and reproducibility, but also

This article provides a comprehensive overview of SQLite, a self-contained, serverless relational database. It details SQLite's advantages (simplicity, portability, ease of use) and disadvantages (concurrency limitations, scalability challenges). C

This guide demonstrates installing and managing multiple MySQL versions on macOS using Homebrew. It emphasizes using Homebrew to isolate installations, preventing conflicts. The article details installation, starting/stopping services, and best pra

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]


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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Zend Studio 13.0.1
Powerful PHP integrated development environment

Atom editor mac version download
The most popular open source editor

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

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

Dreamweaver Mac version
Visual web development tools
