Here you can find the detailed instruction on how to convert data from different database types to Microsoft Excel in Exportizer software.

Below, it is shown how to export data directly (from GUI or command line), or using clipboard.

Note: Exportizer also provides the ability to export data to intermediate file formats. For example, you can export data to CSV or DBF format, and then open the destination .csv or .dbf file in Excel: it is faster, but has some inconveniences comparing with direct exporting to Excel (e.g. when exporting multiple tables to different sheets of one Excel workbook). Exporting to intermediate file formats is not covered in this topic.

Export Conditions

In most cases, to export data to Microsoft Excel, it is important to fulfill the following conditions:

  • It is important to choose the proper Excel output format:
    • When exporting to Excel (OLE) target format, Microsoft Office must be installed; Exportizer and Microsoft Office should be both 32-bit or both 64-bit.
    • When exporting to other Excel formats like XLS or XLSX, Microsoft Office is not required, and you can use either Exportizer 32-bit or Exportizer 64-bit.

Note: If your operating system is 64-bit, you can install both 32-bit and 64-bit versions of the Exportizer software and use them independently.

Export Steps (GUI)

  1. Launch Exportizer.
  2. Register and open your source database.
  3. Choose a table or tables to export or write and execute your SQL query or queries. Please note that exporting multiple datasets at a time is available in Exportizer Enterprise only.
  4. Choose the corresponding action from Export menu or click Export button .
  5. Choose the target Excel format. You have several formats available: Excel (XLSX), Excel (XML-based), Excel (XLS), Excel (OLE). Please note that exporting to Excel (XLS) is the fastest, and exporting to Excel (OLE) is the slowest; Excel (XLSX) format is the most configurable, and allows multiple tables to be written to one file, one table per Excel sheet. You may also want to read more about the output formats.
  6. Specify a target file (for multi-table exporting, you can specify a folder, where the target files will be created) and needed export parameters.

    Note: If you later need to open the target Excel file in Exportizer, make sure to specify the range name for the output table; named ranges are seen as separate tables when opening Excel file by most Excel ODBC drivers.

    Exporting Data to Excel Workbook
  7. Click Next.

    Specify the source-to-target table and/or field mappings.

    In field mappings, you create the correspondence between the source and target columns. In addition to source table columns, you can also use calculated fields specified by formulas.

    In table mappings (for multi-dataset exporting), you create the correspondence between the source datasets (tables and/or queries) and target Excel files. If you export to Excel (XLSX) format, you can specify a different sheet name and table title for each exported dataset. You can also specify nested field mappings for each table pair.

  8. Click Export.

Exporting Data to Excel Using Command Line

1. Exporting a table from SQLite file to XLSX file:

"C:\Program Files (x86)\Vitalii Levchenko\Exportizer Enterprise 9\exptizer.exe" /export /ExportType=EXCELXLSX /ExportMode=REPLACE+INSERT /RowsPerSheet=800000 /SheetName=Employees "/TableTitle=Company Employees" /RangeName=employee /IncludeColNames /IncludeImages /IncludeMemo /SrcDBInterface=fd /SrcDBKind=FILE /SrcDBDriver=SQLITE /SrcDB=C:\MyData\org.db /SrcTableName=employee /TrgDB=C:\TEST\employee.xlsx

2. Exporting all tables from SQLite file to Excel files (one table per Excel file):

"C:\Program Files (x86)\Vitalii Levchenko\Exportizer Enterprise 9\exptizer.exe" /export /ExportType=EXCELXLSX /ExportMode=REPLACE+INSERT /RowsPerSheet=800000 /IncludeColNames /IncludeImages /IncludeMemo /SrcDBInterface=fd /SrcDBKind=FILE /SrcDBDriver=SQLITE /SrcDB=C:\MyData\org.db /SrcTableName=* /TrgDB=C:\TEST\*.xlsx

3. Exporting several tables from SQLite file to one target XLSX file (one table per Excel sheet):

"C:\Program Files (x86)\Vitalii Levchenko\Exportizer Enterprise 9\exptizer.exe" /export /ExportType=EXCELXLSX /ExportMode=REPLACE+INSERT /TableMappingsFile=C:\TEST\Sqlite2ExcelTableMappings.xml /RowsPerSheet=800000 /IncludeColNames /IncludeImages /IncludeMemo /SrcDBInterface=fd /SrcDBKind=FILE /SrcDBDriver=SQLITE /SrcDB=C:\MyData\org.db /TrgDB=C:\TEST\

4. In the last case, please pay attention to how the source-to-target table mappings are defined. We use /TableMappingsFile parameter which points to an XML file with the mappings definition. For exporting three tables, the file content may look like this:

<?xml version="1.0" encoding="UTF-8"?>
<TableMappings>
  <Items>
    <TableMapping>
      <Source>
        <TableName>employee</TableName>
      </Source>
      <Target>
        <FileName>org.xlsx</FileName>
        <TableTitle>Company Employees</TableTitle>
        <SheetName>Employees</SheetName>
        <RangeName>employee</RangeName>
      </Target>
    </TableMapping>
    <TableMapping>
      <Source>
        <TableName>goods</TableName>
      </Source>
      <Target>
        <FileName>org.xlsx</FileName>
        <TableTitle>Available Goods</TableTitle>
        <SheetName>Goods</SheetName>
        <RangeName>goods</RangeName>
      </Target>
    </TableMapping>
    <TableMapping>
      <Source>
        <TableName>salary</TableName>
      </Source>
      <Target>
        <FileName>org.xlsx</FileName>
        <TableTitle>Position Salaries By Department</TableTitle>
        <SheetName>Salaries</SheetName>
        <RangeName>salary</RangeName>
      </Target>
    </TableMapping>
  </Items>
</TableMappings>

5. The last command line above can be transformed to an action file:

/export 
/ExportType=EXCELXLSX 
/ExportMode=REPLACE+INSERT  ;Target files will be overwritten if they exist
/TableMappingsFile=C:\TEST\Sqlite2ExcelTableMappings.xml 
/RowsPerSheet=800000 
/IncludeColNames 
/IncludeImages 
/IncludeMemo 
/SrcDBInterface=fd 
/SrcDBKind=FILE 
/SrcDBDriver=SQLITE 
/SrcDB=C:\MyData\org.db 
/TrgDB=C:\TEST\

If you save this text, for example, to C:\MyData\ExportAction_SQLite2Excel.txt, then your command line will look like:

"C:\Program Files (x86)\Vitalii Levchenko\Exportizer Enterprise 9\exptizer.exe" /silent /ActionFile=C:\MyData\ExportAction_SQLite2Excel.txt

6. Exporting a table from PostgreSQL database to Excel file:

"C:\Program Files (x86)\Vitalii Levchenko\Exportizer Enterprise 9\exptizer.exe" /export /ExportType=EXCELXLSX /ExportMode=REPLACE+INSERT /RowsPerSheet=800000 /IncludeColNames /IncludeImages /IncludeMemo /SrcDBInterface=fd /SrcDBKind=DSN /SrcDBDriver=POSTGRESQL "/SrcServer=222.333.2.14" /SrcPort=5432 /SrcDB=dwh /SrcDBUserName=dwh_master /SrcDBPassword=dwh_master_password /SrcTableName=employee /TrgDB=C:\TEST\employee.xlsx

7. Exporting a table from Interbase database to XLSX file:

"C:\Program Files (x86)\Vitalii Levchenko\Exportizer Enterprise 9\exptizer.exe" /export /SrcDBUserName=sysdba /ExportType=EXCELXLSX /ExportMode=REPLACE+INSERT /FieldMappings=ID=ID;FIRSTNAME=FIRSTNAME;LASTNAME=LASTNAME;CITY=CITY;COUNTRY=COUNTRY /RowsPerSheet=800000 /AddAutofilter /IncludeColNames /TrimTrailingSpaces /IncludeImages /IncludeMemo /SrcDBInterface=fd /SrcDBKind=FILE /SrcDBDriver=INTERBASE /SrcDB=C:\MyData\TEST.GDB /SrcOSAuthentication=No "/SrcVendorLibrary=C:\Program Files (x86)\Embarcadero\Studio\15.0\InterBaseXE3\bin\gds32.dll" /SrcTableName=CUSTOMER /TrgDB=C:\MyData\customer.xlsx

Exporting Data Using Clipboard

  1. Launch Exportizer.
  2. Register and open your source database.
  3. Open the source table or write and execute your SQL query.
  4. Copy the needed data. You can do this in two ways:
    • Quick, but limited. Select a range of cells in a visible part of the data grid, then click Ctrl+C.
      Copying range of cells
    • Flexible. Click Copy Data button . Choose Text/CSV format, Standard schema, Tab field separator, and specify other options if needed. Then click Copy.
  5. Launch Microsoft Excel and paste the copied data to its sheet.

See also

 Ways of Opening Different Data Source Types

 Command Line Usage

 Table and Field Mappings