The comparison and comparison of JXLS framework and Apache Poi

In the field of Java, the JXLS framework and Apache Poi are two very commonly used libraries for processing Excel files.This article will compare and compare the two. The JXLS framework is an Excel import and export tool based on Apache Poi, which aims to simplify the tedious work of operating Excel.It provides a simpler way to generate and analyze Excel files, while having configurable templates and data sources.Compared with the traditional POI -based Excel operation method, JXLS uses an expression -based syntax to make the generation and analysis excel more simple, flexible and scalable. Apache Poi is a powerful Java library to operate files in Microsoft Office formats such as Word, Excel, and PowerPoint.It provides rich APIs that can complete a variety of complex Excel operations, including creating, modifying, reading and analyzing Excel files.The core of POI is an event -based model that can handle large excel files without the problem of memory overflow.Due to its powerful functions and extensive applications, Poi is widely recognized as the standard tool for Java to operate the excel file. The following are some comparisons and comparisons of JXLS and Apache Poi: 1. Usage and learning curve: -JXLS: Relatively speaking, JXLS has a lower learning curve and easier to get started.It provides a simple method of using templates and expressions to generate and analyze the Excel file. -Apache Poi: POI's learning curve is relatively high. Due to its powerful and complicated API, it may require more time and learning energy to master. 2. Data driver: -JXLS: JXLS can use various data sources to fill the Excel template, including Java objects, database query results sets, etc.It binds the data source with the Excel template through an expression engine. -Apache Poi: POI can create and modify the value of the cell directly in the Excel file through the API, which does not depend on external data sources. 3. Flexibility and functions: -JXLS: JXLS provides more advanced and more flexible template configuration functions, which can define styles, formulas, conditional formats, etc.It is more suitable for data reporting and batch processing than POI. -Apache Poi: POI provides a more bottom -layer API, which can directly operate various components of Excel, such as rypse, columns, cells, etc.It is more suitable for processing complex Excel document structures and formats than JXLS. Here are a sample code using JXLS and Apache Poi: Use JXLS to generate excel file: // Define the data model List<User> userList = new ArrayList<>(); userList.add(new User("John", "Doe")); userList.add(new User("Jane", "Smith")); // Load the Excel template InputStream is = getClass().getResourceAsStream("/template.xlsx"); XLSTransformer transformer = new XLSTransformer(); Workbook workbook = transformer.transformXLS(is, Collections.singletonMap("userList", userList)); // Export the excel file OutputStream os = new FileOutputStream("output.xlsx"); workbook.write(os); os.close(); Use Apache Poi to generate Excel file: // Create a workbook Workbook workbook = new XSSFWorkbook(); // Create a worksheet Sheet sheet = workbook.createSheet("Sheet1"); // Create the line and cells, and fill in the data Row row1 = sheet.createRow(0); Cell cell1 = row1.createCell(0); cell1.setCellValue("Hello"); Row row2 = sheet.createRow(1); Cell cell2 = row2.createCell(0); cell2.setCellValue("World"); // Export the excel file OutputStream os = new FileOutputStream("output.xlsx"); workbook.write(os); os.close(); In summary, the JXLS framework and Apache Poi are very powerful Java libraries for processing Excel files.Which library to choose depends on actual needs and personal preferences.If you only need to perform simple Excel import and export, and hope to have a simpler syntax and configuration method, then JXLS is a good choice.If you need to perform more complicated Excel operations, such as creating, modifying and analyzing various excel elements, and high requirements for performance, then Apache Poi is a more suitable tool.