XLSX ODS HTML NUMBERS CSV
Aspose.Cells  for Java
SQL

Merge JSON to SQL via Java

High-speed Java library for merging JSON to SQL. Use our excel conversion API to develop high-level, platform independent software in Java. This is a professional software solution to import and export Excel, CSV, OpenOffice, PDF, HTML, image, and many other excel formats.

Merge JSON to SQL Using Java

How do I merge JSON to SQL? With Aspose.Cells for Java library, you can easily merge JSON 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>

Merge JSON to SQL in Java

The following example demonstrates how to merge JSON to SQL in Aspose.Cells for Java.

Follow the easy steps to merge JSON to SQL. Upload your files, call Workbook.Combine method for merging files, and then save it to SQL file. If you develop code in Java, this will be simpler than it sounds. See Java example that merges JSON to SQL.

Sample Code to Merge JSON to SQL in Java
Select two files
Output format
   
                                   

	
  import  com.aspose.cells.Workbook;     
  Workbook workbook = new Workbook("Input.xlsx");
  workbook.combine(new Workbook("Combine.xlsx"));
  workbook.save("Output.pdf");
	 
                
            

How to Merge JSON to SQL via Java

Need to merge JSON to SQL programmatically? A basic document merging and concatenating with Aspose.Cells for Java APIs can be done with just few lines of code.

  • Install ‘Aspose.Cells for Java’.
  • Add a library reference (import the library) to your Java project.
  • Load the JSON file with Workbook class.
  • Call the Workbook.Combine method for merging files.
  • Call the Workbook.Save method and pass the output file name as a parameter.
  • Now you can open and use the output file in Microsoft Office, Adobe PDF or any other compatible program.

Java library to merge JSON 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

Our APIs are supported on all major platforms and Operating Systems. Before executing the code below, please make sure that you have the following prerequisites on your system.

  • 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.

JSON What is JSON File Format?

JSON (JavaScript Object Notation) is an open standard file format for sharing data that uses human-readable text to store and transmit data. JSON files are stored with the .json extension. JSON requires less formatting and is a good alternative for XML. JSON is derived from JavaScript but is a language-independent data format. The generation and parsing of JSON is supported by many modern programming languages. application/json is the media type used for JSON.

Read More

SQL 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.

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Other Supported Merging Formats

Using Java, One can also merge json to many other file formats including.

Merge JSON to DOCX (Microsoft Word document)
Merge JSON to SQL (Structured Query Language)
Merge JSON to BMP (Bitmap Image)
Merge JSON to EMF (Enhanced Metafile Format)
Merge JSON to GIF (Graphical Interchange Format)
Merge JSON to HTML (Hyper Text Markup Language)
Merge JSON to MD (Markdown Language)
Merge JSON to MHTML (Web Page Archive Format)
Merge JSON to ODS (OpenDocument Spreadsheet File)
Merge JSON to PDF (Portable Document Format)
Merge JSON to PNG (Portable Network Graphics)
Merge JSON to SVG (Scalable Vector Graphics)
Merge JSON to TIFF (Tagged Image Format)
Merge JSON to TSV (Tab-Separated Values)
Merge JSON to TXT (Text Document)
Merge JSON to XLS (Excel Binary Format)
Merge JSON to XLSB (Binary Excel Workbook File)
Merge JSON to XLSM (Spreadsheet File)
Merge JSON to XLSX (OOXML Excel File)
Merge JSON to XLT (Microsoft Excel Template)
Merge JSON to XLTM (Excel Macro-enabled Template)
Merge JSON to XLTX (Office OpenXML Excel Template)
Merge JSON to XML (Extensible Markup Language)
Merge JSON to XPS (XML Paper Specifications)
Merge JSON to JSON (JavaScript Object Notation)
Merge JSON to JPEG (JPEG Image)