RadSpreadStreaming: Update Overview article #20
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| Thank you for choosing Telerik **RadSpreadStreamProcessing**! | ||
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| **RadSpreadStreamProcessing** is a library that allows you create big spreadsheet documents and export them to the most common file formats with a great performance and minimal resources. | ||
| This article briefly explains the Spread Stream library specifics as what is spread streaming, how it works compared to the **RadSpreadProcessing** library and when to use it. |
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This article briefly explains the specifics of RadSpreadStreamProcessing - what is spread streaming, how it works compared to the RadSpreadProcessing library and when to use it.
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| Spread streaming is a document processing paradigm that allows you to create big spreadsheet documents with great performance and minimal memory footprint. | ||
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| The key for the memory efficiency is that the spread streaming library writes the spreadsheet content directly to a stream without creating and preserving the spreadsheet document model in memory. Each time a value is set, the export kicks-in and the new value is written into the stream. This allows you to create large documents with an excellent performance. |
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This is not absolutely true. All the values that should be preserved in the exported document are written when the corresponding object is disposed. E.g., if the users set a value to a cell, this value along with the other cell properties will be written when the used ICellExporter object is disposed.
| ## RadSpreadStreamProcessing vs. RadSpreadProcessing | ||
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| There are two main differences between the libraries. | ||
| * __RadSpreadStreamProcessing__ can be used only to create documents and append data to existing ones. On the other hand you can use the __RadSpreadProcessing__ also for reading documents. |
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On the other hand, you can use the RadSpreadProcessing also for reading and modifying the content of documents.
| * __RadSpreadStreamProcessing__ can be used only to create documents and append data to existing ones. On the other hand you can use the __RadSpreadProcessing__ also for reading documents. | ||
| * __RadSpreadStreamProcessing__ writes directly into a stream, unlike __RadSpreadProcessing__ which creates models for the elements in the document. This is why the memory used with the spread streaming library is significantly lower than when using __RadSpreadProcessing__. | ||
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| ## When to Use the Spread Streaming |
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When to Use RadSpreadStreamProcessing
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| ## When to Use the Spread Streaming | ||
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| You can use the spread stream processing to create and export large amount of data with a low memory footprint. You can also append data to already existing document stream. |
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You can use RadSpreadStreamProcessing...
Mention the great performance as well.
| * [Freezing panes]({%slug radspreadstreamprocessing-features-worksheetviewexporter%}#freeze-panes) | ||
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| ## RadSpreadStreamProcessing vs. RadSpreadProcessing | ||
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Add a link to the Overview page for RadSpreadProcessing, so the customers can find it easily if they are not familiar with the library.
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The same link could be added to the first sentence of the article as well.
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