base on Lightweight and fast library written in C# for reading Microsoft Excel files # ExcelDataReader [](https://www.nuget.org/packages/ExcelDataReader) Lightweight and fast library written in C# for reading Microsoft Excel files (2.0-2021, 365). Please feel free to fork and submit pull requests to the develop branch. If you are reporting an issue it is really useful if you can supply an example Excel file as this makes debugging much easier and without it we may not be able to resolve any problems. ## Continuous integration | Branch | Build status | |---------|--------------| | develop | [](https://ci.appveyor.com/project/andersnm/exceldatareader/branch/develop) | | master | [](https://ci.appveyor.com/project/andersnm/exceldatareader/branch/master) | ## Supported file formats and versions | File Type | Container Format | File Format | Excel Version(s) | | --------- | ---------------- | ----------- | ---------------- | | .xlsx | ZIP, CFB+ZIP | OpenXml | 2007 and newer | | .xlsb | ZIP, CFB | OpenXml | 2007 and newer | | .xls | CFB | BIFF8 | 97, 2000, XP, 2003<br>98, 2001, v.X, 2004 (Mac) | | .xls | CFB | BIFF5 | 5.0, 95 | | .xls | - | BIFF4 | 4.0 | | .xls | - | BIFF3 | 3.0 | | .xls | - | BIFF2 | 2.0, 2.2 | | .csv | - | CSV | (All) | ## Finding the binaries It is recommended to use NuGet through the VS Package Manager Console `Install-Package <package>` or using the VS "Manage NuGet Packages..." extension. As of ExcelDataReader version 3.0, the project was split into multiple packages: Install the `ExcelDataReader` base package to use the "low level" reader interface. Compatible with net462, netstandard2.0 and netstandard2.1. Install the `ExcelDataReader.DataSet` extension package to use the `AsDataSet()` method to populate a `System.Data.DataSet`. This will also pull in the base package. Compatible with net462, netstandard2.0 and netstandard2.1. ## How to use ```c# using (var stream = File.Open(filePath, FileMode.Open, FileAccess.Read)) { // Auto-detect format, supports: // - Binary Excel files (2.0-2003 format; *.xls) // - OpenXml Excel files (2007 format; *.xlsx, *.xlsb) using (var reader = ExcelReaderFactory.CreateReader(stream)) { // Choose one of either 1 or 2: // 1. Use the reader methods do { while (reader.Read()) { // reader.GetDouble(0); } } while (reader.NextResult()); // 2. Use the AsDataSet extension method var result = reader.AsDataSet(); // The result of each spreadsheet is in result.Tables } } ``` ### Reading .CSV files Use `ExcelReaderFactory.CreateCsvReader` instead of `CreateReader` to parse a stream of plain text with comma separated values. See also the configuration options `FallbackEncoding` and `AutodetectSeparators`. The input CSV is always parsed once completely to set FieldCount, RowCount, Encoding, Separator (or twice if the CSV lacks BOM and is not UTF8), and then parsed once again while iterating the row records. Throws `System.Text.DecoderFallbackException` if the input cannot be parsed with the specified encoding. The reader returns all CSV field values as strings and makes no attempts to convert the data to numbers or dates. This caller is responsible for interpreting the CSV data. ### Using the reader methods The `AsDataSet()` extension method is a convenient helper for quickly getting the data, but is not always available or desirable to use. IExcelDataReader extends the `System.Data.IDataReader` and `IDataRecord` interfaces to navigate and retrieve data at a lower level. The most important reader methods and properties: | Method | Property | |-----------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | `Read()` | reads a row from the current sheet. | | `NextResult()` | advances the cursor to the next sheet. | | `ResultsCount` | returns the number of sheets in the current workbook. | | `Name` | returns the name of the current sheet. | | `CodeName` | returns the VBA code name identifier of the current sheet. | | `FieldCount` | returns the number of columns in the current sheet. | | `RowCount` | returns the number of rows in the current sheet. This includes terminal empty rows which are otherwise excluded by AsDataSet(). Throws `InvalidOperationException` on CSV files when used with `AnalyzeInitialCsvRows`. | | `HeaderFooter` | returns an object with information about the headers and footers, or `null` if there are none. | | `MergeCells` | returns an array of merged cell ranges in the current sheet. | | `RowHeight` | returns the visual height of the current row in points. May be 0 if the row is hidden. | | `GetColumnWidth()` | returns the width of a column in character units. May be 0 if the column is hidden. | | `GetFieldType()` | returns the type of a value in the current row. Always one of the types supported by Excel: `double`, `int`, `bool`, `DateTime`, `TimeSpan`, `string`, or `null` if there is no value. | | `IsDBNull()` | checks if a value in the current row is null. | | `GetValue()` | returns a value from the current row as an `object`, or `null` if there is no value. | | `GetDouble()`<br/>`GetInt32()`<br/>`GetBoolean()`<br/>`GetDateTime()`<br/>`GetString()` | return a value from the current row cast to their respective type. | | `GetNumberFormatString()` | returns a string containing the formatting codes for a value in the current row, or `null` if there is no value. See also the Formatting section below. | | `GetNumberFormatIndex()` | returns the number format index for a value in the current row. Index values below 164 refer to built-in number formats, otherwise indicate a custom number format. | | `GetCellStyle()` | returns an object containing style information for a cell in the current row: indent, horizontal alignment, hidden, locked. | | The typed `Get*()` methods | throw `InvalidCastException` unless the types match exactly. | ### CreateReader() configuration options The `ExcelReaderFactory.CreateReader()`, `CreateBinaryReader()`, `CreateOpenXmlReader()`, `CreateCsvReader()` methods accept an optional configuration object to modify the behavior of the reader: ```c# var reader = ExcelReaderFactory.CreateReader(stream, new ExcelReaderConfiguration() { // Gets or sets the encoding to use when the input XLS lacks a CodePage // record, or when the input CSV lacks a BOM and does not parse as UTF8. // Default: cp1252 (XLS BIFF2-5 and CSV only) FallbackEncoding = Encoding.GetEncoding(1252), // Gets or sets the password used to open password protected workbooks. Password = "password", // Gets or sets an array of CSV separator candidates. The reader // autodetects which best fits the input data. Default: , ; TAB | # // (CSV only) AutodetectSeparators = new char[] { ',', ';', '\t', '|', '#' }, // Gets or sets a value indicating whether to leave the stream open after // the IExcelDataReader object is disposed. Default: false LeaveOpen = false, // Gets or sets a value indicating the number of rows to analyze for // encoding, separator and field count in a CSV. When set, this option // causes the IExcelDataReader.RowCount property to throw an exception. // Default: 0 - analyzes the entire file (CSV only, has no effect on other // formats) AnalyzeInitialCsvRows = 0, }); ``` ### AsDataSet() configuration options The `AsDataSet()` method accepts an optional configuration object to modify the behavior of the DataSet conversion: ```c# var result = reader.AsDataSet(new ExcelDataSetConfiguration() { // Gets or sets a value indicating whether to set the DataColumn.DataType // property in a second pass. UseColumnDataType = true, // Gets or sets a callback to determine whether to include the current sheet // in the DataSet. Called once per sheet before ConfigureDataTable. FilterSheet = (tableReader, sheetIndex) => true, // Gets or sets a callback to obtain configuration options for a DataTable. ConfigureDataTable = (tableReader) => new ExcelDataTableConfiguration() { // Gets or sets a value indicating the prefix of generated column names. EmptyColumnNamePrefix = "Column", // Gets or sets a value indicating whether to use a row from the // data as column names. UseHeaderRow = false, // Gets or sets a callback to determine which row is the header row. // Only called when UseHeaderRow = true. ReadHeaderRow = (rowReader) => { // F.ex skip the first row and use the 2nd row as column headers: rowReader.Read(); }, // Gets or sets a callback to determine whether to include the // current row in the DataTable. FilterRow = (rowReader) => { return true; }, // Gets or sets a callback to determine whether to include the specific // column in the DataTable. Called once per column after reading the // headers. FilterColumn = (rowReader, columnIndex) => { return true; } } }); ``` Setting up `AsDataSet()` configuration, use the FilterRow callback to implement a "progress indicator" while loading, e.g.: ```c# var result = reader.AsDataSet(new ExcelDataSetConfiguration() { ConfigureDataTable = (tableReader) => new ExcelDataTableConfiguration() { FilterRow = (rowReader) => { int progress = (int)Math.Ceiling((decimal)rowReader.Depth / (decimal)rowReader.RowCount * (decimal)100); // progress is in the range 0..100 return true; } } }); ``` ## Formatting ExcelDataReader does not support formatting directly. Users may retreive the number format string for a cell through `IExcelDataReader.GetNumberFormatString(i)` and use the third party ExcelNumberFormat library for formatting purposes. Example helper method using ExcelDataReader and ExcelNumberFormat to format a value: ```c# string GetFormattedValue(IExcelDataReader reader, int columnIndex, CultureInfo culture) { var value = reader.GetValue(columnIndex); var formatString = reader.GetNumberFormatString(columnIndex); if (formatString != null) { var format = new NumberFormat(formatString); return format.Format(value, culture); } return Convert.ToString(value, culture); } ``` See also: - https://github.com/andersnm/ExcelNumberFormat - https://www.nuget.org/packages/ExcelNumberFormat ## Important note when upgrading from ExcelDataReader 2.x ExcelDataReader 3 had some breaking changes, and older code may produce error messages similar to: ``` 'IExcelDataReader' does not contain a definition for 'AsDataSet'... 'IExcelDataReader' does not contain a definition for 'IsFirstRowAsColumnNames'... ``` To fix: 1. Make sure to rename any `Excel` namespace references in the code to the new namespace `ExcelDataReader` 2. Make sure the project has a reference to the `ExcelDataReader.DataSet` package to use `AsDataSet()` 3. Remove the line of code with `IsFirstRowAsColumnNames` and change the call to AsDataSet() to something like this: ```c# var result = reader.AsDataSet(new ExcelDataSetConfiguration() { ConfigureDataTable = (_) => new ExcelDataTableConfiguration() { UseHeaderRow = true } }); ``` ## Important note on .NET Core By default, ExcelDataReader throws a NotSupportedException "No data is available for encoding 1252." on .NET Core and .NET 5.0 or later. To fix, add a dependency to the package `System.Text.Encoding.CodePages` and then add code to register the code page provider during application initialization (f.ex in Startup.cs): ```c# System.Text.Encoding.RegisterProvider(System.Text.CodePagesEncodingProvider.Instance); ``` This is required to parse strings in binary BIFF2-5 Excel documents encoded with DOS-era code pages. These encodings are registered by default in the full .NET Framework, but not on .NET Core and .NET 5.0 or later. ", Assign "at most 3 tags" to the expected json: {"id":"11587","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"