Cookbooks

Here are some examples of short use-cases with Fast2.

Sort documents in a punnet

4 min read

As we have seen before in the punnet structure, punnets can be composed with several different documents, each one of them embedding its own data and values.

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Add data from file name

4 min read

Times will happen when you will not be able to rely on side-file metadata documents to map onto the documents you are migrating.

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Datasets in Fast2

3 min read

Datasets are Fast2 objects which can be involved at different levels within the punnet. They can be found on the

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JDBC : How to link Fast2 and SQL DB

2 min read

To extract from or inject in a SQL DataBase, Fast2 use JDBC as a connector with SQL. Requirements To use JDBC you must download the library related to your SQL DataBase.

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Contents in Fast2

2 min read

In Fast2, contents are objects embedding the “file” (= binary format) of the document. They can be found within either documents themselves or annotations, and can be accessed through different ways.

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Boilerplate : Documents in Fast2

3 min read

The documents are a main part of any migration, if not the purpose of it. Here are the basics for an appropriate understanding of the Java API of the document object.

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CSV source : a step further

3 min read

The CSVSource task has been designed to receive a CSV file as input. Basic usage With little to no configuration, each line represents one document with different values matching the column header.

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From ZIP to punnet

5 min read

Ever wondered how Fast2 could help you dive into archives and come out with burried content and metadata? It actually is quite simple, as long as you have the right tools in your hands.

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