How to Handle Nested Bulk Inserts with Foreign Key Constraints?
One challenge with nested batch inserts is the insertion order. Suppose you create parent and child tables using foreign key references between them. A parent record usually needs to exist before a child record can be inserted. To handle this issue, the parent record must be inserted first, and then the child record.
The problem is that you cannot insert a child record until the parent record ID is available. One way to overcome this problem is to use a stored procedure to insert records. A stored procedure can insert parent records first and then insert child records. This approach ensures that parent records are inserted before child records and that each child record has a valid parent ID.
Another way to perform nested bulk inserts is to use a technique called "table staging". Table staging involves creating temporary tables to store sub-records. The parent record is inserted first, then the child records are inserted into the temporary table. Once all child records have been inserted, you can use a merge statement to insert the child records into the actual child table. The advantage of this approach is that it ensures that the child records are valid since they are checked against the parent table before inserting.
Finally, you can use the OUTPUT clause in your insert statement to capture and use the primary key (e.g. scope_identity()). This will enable you to loop through child entities. Here's an example of this approach:
<code> using (var scope = tran.Connection.BeginTransaction()) { using (connectionString.WithTransaction(tran)) { int scope_identity = 0; foreach (var entity in dataload.Entities){ scope_identity = connectionString.ExecuteScalar<int>( $"INSERT INTO tbl_owner(OwnerName) OUTPUT INSERTED.OwnerID Values(@Name)", entity); foreach(var project in entity.Related) { connectionString.Execute( $"INSERT INTO tbl_project(Name, OwnerId) Values(@Name, @OwnerId)", new{Name = project.Name, OwnerId = scope_identity }); } } scope.Commit(); } }</code>
The above is the detailed content of How to Handle Nested Bulk Inserts with Foreign Key Constraints?. For more information, please follow other related articles on the PHP Chinese website!

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

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

Hot Topics



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

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]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.

Article discusses using foreign keys to represent relationships in databases, focusing on best practices, data integrity, and common pitfalls to avoid.

The article discusses creating indexes on JSON columns in various databases like PostgreSQL, MySQL, and MongoDB to enhance query performance. It explains the syntax and benefits of indexing specific JSON paths, and lists supported database systems.
