Convert CSV to SQL in Java
High-speed Java library for converting CSV to SQL. This is a professional software solution to import and export CSV, SQL, and many other formats using Java.
Aspose.Cells for Java
Overview
Convert CSV to SQL Using Java
How do I convert CSV to SQL? With Aspose.Cells for Java library, you can easily convert CSV to SQL programmatically with a few lines of code. Aspose.Cells for Java is capable of building cross-platform applications with the ability to generate, modify, convert, render and print all Excel files. Java Excel API not only convert between spreadsheet formats, it can also render Excel files as images, PDF, HTML, ODS, CSV, SVG, JSON, WORD, PPT and more, thus making it a perfect choice to exchange documents in industry-standard formats. You can download its latest version directly from Maven and install it within your Maven-based project by adding the following configurations to the pom.xml.
Repository
<repository>
<id>AsposeJavaAPI</id>
<name>Aspose Java API</name>
<url>https://repository.aspose.com/repo/</url>
</repository>
Dependency
<dependency>
<groupId>com.aspose</groupId>
<artifactId>aspose-cells</artifactId>
<version>version of aspose-cells API</version>
<classifier>jdk17</classifier>
</dependency>
Save CSV to SQL in Java
The following example demonstrates how to convert CSV to SQL in Java.
Follow the easy steps to convert CSV to SQL. Upload your CSV file, then simply save it as SQL file. For both CSV reading and SQL writing you can use fully qualified filenames. The output SQL content and formatting will be identical to the original CSV document.
import com.aspose.cells.Workbook;
Workbook workbook = new Workbook("Input.xlsx");
workbook.save("Output.pdf");
How to Convert CSV to SQL via Java
Need to convert CSV files to SQL programmatically? Java developers can easily convert CSV to SQL in just a few lines of code.
- Install ‘Aspose.Cells for Java’.
- Add a library reference (import the library) to your Java project.
- Load CSV file with an instance of Workbook class.
- Convert CSV to SQL by calling Workbook.save method.
- Get the conversion result of CSV to SQL.
Java library to convert CSV to SQL
We host our Java packages in Maven repositories. ‘Aspose.Cells for Java’ is a common JAR file containing byte-code. Please follow the step-by-step instructions on how to install it to your Java developer environment.
System Requirements
Before running the Java conversion source code, make sure that you have the following prerequisites.
- Microsoft Windows or a compatible OS with Java Runtime Environment for JSP/JSF Application and Desktop Applications.
- Get latest version of Aspose.Cells for Java directly from Maven.
CSV What is CSV File Format?
Files with .csv (Comma Separated Values) extension represent plain text files that contain records of data with comma separated values. Each line in a CSV file is a new record from the set of records contained in the file. Such files are generated when data transfer is intended from one storage system to another. Since all applications can recognize records separated by comma, import of such data files to database is done very conveniently. Almost all spreadsheet applications such as Microsoft Excel or OpenOffice Calc can import CSV without much effort. Data imported from such files is arranged in cells of a spreadsheet for representation to user.
Read MoreSQL What is SQL File Format?
A file with .sql extension is a Structured Query Language (SQL) file that contains code to work with relational databases. It is used to write SQL statements for CRUD (Create, Read, Update, and Delete) operations on databases. SQL files are common while working with desktop as well as web-based databases. There are several alternatives to SQL such as Java Persistence Query Language (JPQL), LINQ, HTSQL, 4D QL, and several others. SQL files can be opened by query editors of Microsoft SQL Server, MySQL and other plain text editors such as Notepad on Windows OS.
Read MoreOther Supported Conversions
You can also convert CSV to many other file formats including few listed below.