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Скачать или смотреть SQL Insert of Multiple Rows if Not Exists: Utilizing Sub-Queries for Efficient Data Management

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  • 2025-05-25
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SQL Insert of Multiple Rows if Not Exists: Utilizing Sub-Queries for Efficient Data Management
sql insert of multiple rows if not exists with one value coming from a sub-querysqlsubquerysql insert
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Описание к видео SQL Insert of Multiple Rows if Not Exists: Utilizing Sub-Queries for Efficient Data Management

Learn how to perform SQL inserts of multiple rows only if they don’t already exist, using sub-queries and efficient coding practices.
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This video is based on the question https://stackoverflow.com/q/75724334/ asked by the user 'Robin Holenweger' ( https://stackoverflow.com/u/1230339/ ) and on the answer https://stackoverflow.com/a/75724395/ provided by the user 'GMB' ( https://stackoverflow.com/u/10676716/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: sql insert of multiple rows if not exists with one value coming from a sub-query

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Mastering SQL Inserts: Preventing Duplicate Rows with Sub-Queries

When working with databases, it's common to face scenarios where you need to insert multiple rows into a table based on specific criteria. However, such operations can be risky if the same entries already exist in the target table. This article will walk you through how to effectively perform a SQL insert operation that not only adds multiple rows but also checks that they do not already exist, using results from a sub-query.

The Problem Scenario

Let's lay out our scenario:

You have two tables, tb1 and tb2.

Table tb1 contains two columns: keyX and value1.

Table tb2 is set up with columns keyX and value2.

We need to insert rows into tb2 with a specific keyX fetched from tb1. The catch is: we want to insert multiple value2s while ensuring that an entry is not duplicated in tb2.

Setup of Tables

First, if you're working in SQL Express/MS SQL Server 2005, you would typically set up your tables as follows:

[[See Video to Reveal this Text or Code Snippet]]

What We Want to Achieve

We aim to insert the values (1, 2, 3) into tb2 for a single keyX fetched based on a condition—in our case, where value1 = 1234.

The challenge is to ensure that these entries do not already exist in tb2.

The Solution: A Step-by-Step Breakdown

Here’s how you can achieve the required insert operation using a well-structured SQL query:

Step 1: Identify the KeyX

You have a sub-query to select keyX from tb1:

[[See Video to Reveal this Text or Code Snippet]]

This query returns exactly one row, as both keyX and value1 are unique.

Step 2: Construct the Insert Query

To insert the values conditionally, we will utilize a CROSS JOIN with a VALUES constructor to generate the multiple rows we want:

[[See Video to Reveal this Text or Code Snippet]]

Explanation of the Query

Insert Destination: The insert is directed at tb2.

Select Statement:

It brings in keyX from tb1 that meets the specified condition (value1 = 1234).

It combines this with a Cartesian product of the values (1), (2), (3) for value2.

Condition to Prevent Duplicates:

The NOT EXISTS clause checks if a combination of keyX and value2 already exists in tb2.

If it doesn't exist, the entry proceeds to insertion.

Conclusion

With the provided method, you will not only insert the values you need, but you will also protect your database's integrity by preventing duplicates. Mastering such SQL techniques will undoubtedly enhance your data management skills and ensure seamless interactions with your database.

By understanding how to harness the power of sub-queries along with efficient insertions, you're on your way to creating robust and reliable databases.

If you have similar SQL challenges or queries, feel free to share in the comments.

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