Convert SHAR Files to CSV in Java or Online SHAR Converter

SHAR to CSV Conversion in Java

Create ZipInputStream with input SHAR file
Setup output directory where unzipped files will be stored
Loop through each file in input SHAR file and extract to output directory
Temporary List to hold names of extracted files from unzipped folder
Get the list of all files (with full paths) from unzipped folder
Loop through each unzipped file and convert each file to CSV
Merge CSV files using GroupDocs.Merger API
Instantiate Merger with first input CSV document in temporary List
Loop through list of converted CSV documents starting from second file
Call Save method of Merger class instance to save merged CSV document

SHAR to CSV Conversion API

To convert the contents of a SHAR file into a single CSV, utilize the Aspose.ZIP, GroupDocs.Conversion, and GroupDocs.Merger APIs for Java. The accompanying code example allows conversions from various common archive formats, including ZIP and RAR.

The code example below outlines how to extract data from SHAR files and merge it into a single CSV document, which will be saved at a specified location.

To get started, downloads the necessary assembly files or obtain the complete Conholdate.Total package directly from NuGet.

Frequently Asked Questions

How do I start converting SHAR to CSV using Conholdate.Total for Java?

The Conholdate.Total for Java platform lets you try out different ways to convert archive files. Developers have two main options - they can use ready-made examples from GroupDocs for a straightforward approach, or go with Aspose examples for more control. You can also use these examples to work on both the front and back end of a project, or build your SHAR to CSV conversion feature from scratch using popular Java-supporting tools like Eclipse or Visual Studio Code.

Which Java APIs from Conholdate.Total are in the example code for converting SHAR to CSV?

Conholdate.Total for Java brings together all the Java APIs from Aspose and GroupDocs. Although developers have various APIs to choose from for converting SHAR to CSV, we chose to show easy-to-follow examples using GroupDocs.Conversion for Java in our code snippets.

Which file formats are supported by Conholdate.Total for Java?

Conholdate.Total for Java combines libraries from Aspose and GroupDocs, allowing Java programmers to work with many different file formats like Word, Excel, Visio, images and PDF in Java and J2SE apps. This means you can easily manipulate and manage these files in your Java projects.

What is SHAR file format?

SHAR files are compressed archives created by Unix Shell Archive Program. They can store multiple files in one archive and compress them with a shell script. This script allows the files to be recreated by running a command. SHAR files are different from other archivers because they need the UNIX Bourne shell to work properly. They are also called self extracting compressed files. SHAR files are text files that can create other compression utilities. They are command-line driven programs that need a specific SHAR command to execute. SHAR files can also copy the functions of a UNIX script, making them important shell scripts. To unpack SHAR files, type “sh filename.shar”.

To open a .shar file, double-click it and Windows will launch the right application. If not, you may have to download or buy the correct application. Or you may have to set up the file associations correctly. This means telling Windows which application to use for .shar files. Once you do that, opening a .shar file will open the correct application.

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What is CSV file format?

CSV (Comma Separated Values) is a widely-used data file format that revolutionizes the way tabular data is stored and transferred. By utilizing a simple text form, CSV files enable seamless data exchange between diverse programs, with each field of data meticulously separated by a comma. Beyond its ease of use, CSV files offer an efficient and comprehensible method of storing tabular data.

The fundamental structure of a CSV file encompasses a header row, which houses the field names for each column. Subsequently, one or more rows of data follow, with each row representing a distinct record containing data for each column. The versatility of CSV files allows for the inclusion of various data types, including text, numbers, dates, and even images, providing unparalleled flexibility in data representation.

One of the most significant advantages of CSV files is their compatibility with a wide range of programs. Renowned applications like Microsoft Excel, Google Sheets, and Text Editors effortlessly support CSV files, allowing users to conveniently open and edit them. Additionally, CSV files seamlessly integrate with popular programming languages such as Python, empowering users to perform advanced data manipulation tasks.

The simplicity and flexibility of CSV files contribute to their popularity as a reliable data storage and transfer solution. Their inherent readability and intuitive format make them an ideal choice for sharing and backing up data across different systems. Whether it’s exchanging information between business applications, performing data analysis, or archiving crucial records, CSV files emerge as a trusted and efficient tool.

Convert SHAR Files to CSV in Java