A code generator for MyBatis.
-
Updated
Mar 6, 2022 - Java
{{ message }}
A code generator for MyBatis.
SQL builder and query library for golang
SQL DSL (Domain Specific Language) for Kotlin and Java. Supports rendering for MyBatis or Spring JDBC Templates
CRUD for Dapper
Compares the PostgreSQL schema between two databases and generates SQL statements that can be run manually against the second database to make their schemas match.
The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。
Fast DB-independent DAL for .NET Core: abstract queries, SQL commands builder, schema-less data access, POCO mapping (micro-ORM).
Advanced REST-wrapper for your SQL-queries (actually not only SQL)
An efficient query generator for mass resource import, distinguishing between new records and records to update.
SQL CRUD Query-Builder/Executor for Dapper
A php class for using pdo class for your database queries
A library for easing SQL data access code. This library aims to reduce duplicate code and increase readability of your code by providing common functionality.
Java GUI Application that generates CRUD query & mapping Java class (i.e., Dao, Service)
Queries generator for MySQL, PostgreSQL, SQLite and Microsoft SQL Server
A sql generation utility
Uses database metadata to generate deep copy procedures for SQL Server.
Uses database metadata to generate deep date update procedures for SQL Server.
A few attributes I use for SQL DDL generation and model class projects
Map input from Excel|text files|SQL engine and generate sql insert|update|delete commands or update directly SQL database
Online data crunching tool
Add a description, image, and links to the sql-generation topic page so that developers can more easily learn about it.
To associate your repository with the sql-generation topic, visit your repo's landing page and select "manage topics."
-Currently the feature supports csv files only. However, integrating more dataframes is easy. Go through the get_dataframe() method in data_utils.py and include support to detect the incoming file and parse the dataframe from it.