Datasets in Fast2


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

They can be found on the

  • punnets
  • documents
  • workflows

Datasets gather data which can be manipulated to store properties, and can be accessed as follows:

DataSet dataset = punnet.getDataSet();

DataSet dataset = document.getDataSet();

DataSet dataset = workflow.getDataSet();

Since datasets are just groups of data, understanding basic operations with data is primordial.

Data object

In Fast2, a data has 3 different informations:

  • its name,
  • its type (String or int)
  • its value(s)

The following line retrieve the data as object :

Data data = dataset.getData(dataName);


Getting the name of a data just goes like:

String dataName = data.getSymbolicName();


If no type has been defined when the data has been created, the data type will be null.

However Fast2 will treat the value of the data as a regular String.

String dataType = data.getType();


When dealing with data, some can be single-valued while others can be multi-valued.

The returned object will differ accordingly.

String dataValue = data.getValue();

List<String> dataValues = data.getValues();

Data values can be added along the way, even when the data has already been created with a given value to begin with:



A data can be dealt with just like any other object with properties.

Therefore, adding a property, removing it or getting it are just as simple as you would think:

data.setProperty(name, value);

String value = data.getProperty(name);


Add data

Several ways of adding data to the dataset are available, depending on the type of value you are willing to store:

Data myData = myDataset.addData(name, "String", value);  // String
Data myData = myDataset.addData(name, null, value);

Data myData = myDataset.addData(name, "boolean", true);  // boolean

Data myData = myDataset.addData(name, type, 10);         // long, int

Data myData = myDataset.addData(name, type);             // list or arrays of String
myData.addAll(Arrays.asList("a", "b", "c"));

Adding a new data with the same name as an already stored one, will result in overwriting the existing value with the new one.

Iterating through all data

Data mapping often requires to cover all data, no matter their name. To do so, the easiest way is to get them as a list:

List<Data> allData = myDataset.getData();

for(Data data : allData){
    // ...

Retrieve data value(s)

The following line retrieve the data as object :

Data data = dataset.getData(dataName);

Single-valued data

The dataset offers a shortcut to get the value(s) of any data:

// 1st way : via data object
String value = myDataSet.getData(dataName).getValue();

// or

// 2nd way : dataset shortcut
String value = myDataSet.getDataValue(dataName);
public String getDataValue(String name);

Multi-valued data

// 1st way : via data object
List<String> value = myDataSet.getData(dataName).getValues();

// or

// 2nd way : dataset shortcut
List<String> value = myDataSet.getDataValues(dataName);

Remove data

If the data has been found and could successfully be removed, the following method will return TRUE:

boolean removeSuccessful = myDataset.removeData(name);

Check if data exists

Rely on this method to make sure not to overwrite any existing data, nor having a DataNotFoundException exception.

boolean exists = myDataset.hasData(name);

DataNotFound exception

When operations are performed on non-existing data, an exception of type DataNotFoundException is thrown.