Merge SPREADSHEETML to SQL via C++

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

Merge SPREADSHEETML to SQL Using C++

How do I merge SPREADSHEETML to SQL? With Aspose.Cells for C++ library, you can easily merge SPREADSHEETML to SQL programmatically with a few lines of code. Aspose.Cells for C++ is capable of building cross-platform applications with the ability to generate, modify, convert, render and print all Excel files. C++ 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, just open NuGet package manager, search for Aspose.Cells.Cpp and install. You may also use the following command from the Package Manager Console.

Command
PM> Install-Package Aspose.Cells.Cpp

Merge SPREADSHEETML to SQL in C++

The following example demonstrates how to merge SPREADSHEETML to SQL in Aspose.Cells for C++.

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

Sample Code to Merge SPREADSHEETML to SQL in C++

Select two files

Merge

Output format

   
Aspose::Cells::Startup();
  
Workbook wkb(u"Input.xlsx");
wkb.Combine(Workbook(u"Combine.xlsx"));
wkb.Save(u"Output.pdf");

Aspose::Cells::Cleanup();

            Run
code
|||
Copy code to the clipboard

How to Merge SPREADSHEETML to SQL via C++

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

Install ‘Aspose.Cells for C++’.
Add a library reference (import the library) to your C++ project.
Load the SPREADSHEETML 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.

C++ library to merge SPREADSHEETML to SQL

There are three options to install “Aspose.Cells for C++” onto your system. Please choose one that resembles your needs and follow the step-by-step instructions:

Install a NuGet Package . See Documentation
Install the library using Include and lib Folders. See Documentation
Install Aspose.Cells for C++ in Linux. See Documentation

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 C++ Runtime Environment for Windows 32 bit, Windows 64 bit and Linux 64 bit.
Add reference to the Aspose.Cells for C++ DLL in your project.

SPREADSHEETML What is SPREADSHEETML File Format?

XML stands for Extensible Markup Language that is similar to HTML but different in using tags for defining objects. The whole idea behind creation of XML file format was to store and transport data without being dependent on software or hardware tools. Its popularity is due to it being both human as well as machine readable. This enables it to create common data protocols in the form of objects to be stored and shared over network such as World Wide Web (WWW). The "X" in XML is for extensible which implies that the language can be extended to any number of symbols as per user requirements. It is for these features that many standard file formats make use of it such as Microsoft Open XML, LibreOffice OpenDocument, XHTML and SVG.

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.