JSDataSet
Overview
A JSDataSet
is a runtime object in Servoy designed to work with data organized in rows and columns. Unlike foundsets, it operates independently of persistent datasources, allowing developers to create and manipulate temporary datasets dynamically. This flexibility makes it ideal for handling transient data at runtime without requiring direct database connectivity.
Core Functionality
The JSDataSet
supports a range of operations for managing data. Developers can add, remove, and retrieve rows and columns or set specific values within the dataset. For enhanced usability, the object provides methods to sort rows by column values or through custom comparator functions, enabling advanced data handling logic. Additionally, the dataset can be exported into formats such as HTML tables or delimited text, supporting customized data representation and integration with other Servoy features.
Temporary datasources can also be created from datasets, allowing them to be reused in forms, scripts, or even foundsets. This capability ensures the flow between runtime data generation and persistent application components. The JSDataSet
is particularly effective for scenarios requiring transient data manipulation, such as on-the-fly calculations or data processing pipelines.
Properties Summarized
Methods Summarized
void
Add an HTML property to an HTML tag produced in getAsHTML().
Create a datasource from the data set with specified name and using specified types.
Create a datasource from the data set with specified name and using specified types.
Create a datasource from the data set with specified name and using specified types.
Get the dataset as an html table, do not escape values or spaces, no multi_line_markup, do not add indentation, add column names.
Get the dataset as an html table, do not escape spaces, no multi_line_markup, do not add indentation, add column names.
Get the dataset as an html table, no multi_line_markup, do not add indentation, add column names.
Get the dataset as an html table, do not add indentation, add column names.
Get the dataset as an html table, add column names.
Get the dataset as an html table.
Get the dataset as formatted text.
Return true if there is more data in the resultset then specified by maxReturnedRows at query time.
void
Sort the dataset on the given column (1-based) in ascending or descending.
Properties Detailed
rowIndex
Get or set the record index of the dataset.
Type Number
Sample
Methods Detailed
addColumn(name)
adds a column with the specified name to the dataset.
Parameters
String name column name.
Returns: Boolean true if succeeded, else false.
Sample
addColumn(name, index)
adds a column with the specified name to the dataset.
Parameters
Returns: Boolean true if succeeded, else false.
Sample
addColumn(name, index, type)
adds a column with the specified name to the dataset.
Parameters
String name column name.
Number index column index number between 1 and getMaxColumnIndex().
Number type the type of column, see JSColumn constants.
Returns: Boolean true if succeeded, else false.
Sample
addHTMLProperty(row, col, name, value)
Add an HTML property to an HTML tag produced in getAsHTML().
For row and col parameters use: 1 = applies to the container 0 = applies to all >0 = applies to specific cell
Parameters
Number row row number
Number col column number
String name String property name
String value String property value
Returns: void
Sample
addRow(index, array)
Add a row to the dataset.
Parameters
Returns: void
Sample
addRow(array)
Add a row to the dataset. The row will be added as the last row.
Parameters
Array array row data
Returns: void
Sample
createDataSource(name)
Create a datasource from the data set with specified name and using specified types. The types are inferred from the data if possible.
A temporary datasource cannot be removed because once created there may always be forms or relations that refer to it. When the client exits, all datasources used by that client are removed automatically.
Most resources used by the datasource can be released by deleting all records: dataset.removeRow(-1) or databaseManager.getFoundSet(datasource).deleteAllRecords()
Parameters
String name datasource name
Returns: String String uri reference to the created datasource.
Sample
createDataSource(name, types)
Create a datasource from the data set with specified name and using specified types.
A temporary datasource cannot be removed because once created there may always be forms or relations that refer to it. When the client exits, all datasources used by that client are removed automatically.
Most resources used by the datasource can be released by deleting all records: dataset.removeRow(-1) or databaseManager.getFoundSet(datasource).deleteAllRecords()
A datasource can be reused if the data has the same signature (column names and types). A new createDataSource() call will clear the datasource contents from a previous call and insert the current data.
Parameters
Returns: String String uri reference to the created datasource.
Sample
createDataSource(name, types, pkNames)
Create a datasource from the data set with specified name and using specified types.
A temporary datasource cannot be removed because once created there may always be forms or relations that refer to it. When the client exits, all datasources used by that client are removed automatically.
Most resources used by the datasource can be released by deleting all records: dataset.removeRow(-1) or databaseManager.getFoundSet(datasource).deleteAllRecords()
Parameters
String name datasource name
Object types array of types as defined in JSColumn, when null types are inferred from the query result
Array pkNames array of pk names, when null a hidden pk-column will be added
Returns: String String uri reference to the created datasource.
Sample
getAsHTML()
Get the dataset as an html table, do not escape values or spaces, no multi_line_markup, do not add indentation, add column names.
Returns: String String html.
Sample
getAsHTML(escape_values)
Get the dataset as an html table, do not escape spaces, no multi_line_markup, do not add indentation, add column names.
Parameters
Boolean escape_values if true, replaces illegal HTML characters with corresponding valid escape sequences.
Returns: String String html.
Sample
getAsHTML(escape_values, escape_spaces)
Get the dataset as an html table, no multi_line_markup, do not add indentation, add column names.
Parameters
Boolean escape_values if true, replaces illegal HTML characters with corresponding valid escape sequences.
Boolean escape_spaces if true, replaces text spaces with non-breaking space tags ( ) and tabs by four non-breaking space tags.
Returns: String String html.
Sample
getAsHTML(escape_values, escape_spaces, multi_line_markup)
Get the dataset as an html table, do not add indentation, add column names.
Parameters
Boolean escape_values if true, replaces illegal HTML characters with corresponding valid escape sequences.
Boolean escape_spaces if true, replaces text spaces with non-breaking space tags ( ) and tabs by four non-breaking space tags.
Boolean multi_line_markup if true, multiLineMarkup will enforce new lines that are in the text; single new lines will be replaced by , multiple new lines will be replaced by
Returns: String String html.
Sample
getAsHTML(escape_values, escape_spaces, multi_line_markup, pretty_indent)
Get the dataset as an html table, add column names.
Parameters
Boolean escape_values if true, replaces illegal HTML characters with corresponding valid escape sequences.
Boolean escape_spaces if true, replaces text spaces with non-breaking space tags ( ) and tabs by four non-breaking space tags.
Boolean multi_line_markup if true, multiLineMarkup will enforce new lines that are in the text; single new lines will be replaced by , multiple new lines will be replaced by
Boolean pretty_indent if true, adds indentation for more readable HTML code.
Returns: String String html.
Sample
getAsHTML(escape_values, escape_spaces, multi_line_markup, pretty_indent, add_column_names)
Get the dataset as an html table.
Parameters
Boolean escape_values if true, replaces illegal HTML characters with corresponding valid escape sequences.
Boolean escape_spaces if true, replaces text spaces with non-breaking space tags ( ) and tabs by four non-breaking space tags.
Boolean multi_line_markup if true, multiLineMarkup will enforce new lines that are in the text; single new lines will be replaced by , multiple new lines will be replaced by
Boolean pretty_indent if true, adds indentation for more readable HTML code.
Boolean add_column_names if false, column headers will not be added to the table.
Returns: String String html.
Sample
getAsText(column_separator, row_separator, value_delimiter, add_column_names)
Get the dataset as formatted text.
Parameters
String column_separator any specified column separator; examples: tab '\t'; comma ','; semicolon ';'; space ' ' .
String row_separator the specified row separator; examples: new line '\n'.
String value_delimiter the specified value delimiter; null means empty string; example: double quote '"'.
Boolean add_column_names if true column names will be added as a first row.
Returns: String String formatted text.
Sample
getColumnAsArray(index)
Get the column data of a dataset as an Array.
Parameters
Number index index of column (1-based).
Returns: Array Object array of data.
Sample
getColumnName(index)
Get a column name based on index.
Parameters
Number index index of column (1-based).
Returns: String String column name.
Sample
getColumnNames()
Get the column names of a dataset.
Returns: Array String[] column names
Sample
getColumnType(index)
Get a column type based on index.
Parameters
Number index index of column (1-based).
Returns: Number Number the column type (JSColumn constant)
Sample
getException()
Get the database exception if an error occurred.
Returns: ServoyException ServoyException exception or null when not available.
Sample
getMaxColumnIndex()
Get the number of columns in the dataset.
Returns: Number int number of columns.
Sample
getMaxRowIndex()
Get the number of rows in the dataset.
Returns: Number int number of rows.
Sample
getRowAsArray(index)
Get the row data of a dataset as an Array.
Parameters
Number index index of row (1-based).
Returns: Array Object array of data.
Sample
getValue(row, col)
Get the value specified by row and column position from the dataset.
Parameters
Returns: Object Object value
Sample
hadMoreData()
Return true if there is more data in the resultset then specified by maxReturnedRows at query time.
Returns: Boolean boolean more data available
Sample
removeColumn(index)
Remove a column by index from the dataset.
Parameters
Number index index of column to remove (1-based)
Returns: Boolean true if succeeded, else false.
Sample
removeRow(row)
Remove a row from the dataset.
Parameters
Number row row index to remove, -1 for all rows
Returns: void
Sample
setColumnName(index, columnName)
Set a column name based on index.
Parameters
Returns: void
Sample
setValue(row, col, obj)
Set the value specified by row and column position from the dataset. Use row = -1, to set columnnames.
Parameters
Number row row number, 1-based
Number col column number, 1-based
Object obj the value to be stored at the given row and column.
Returns: void
Sample
sort(col, sort_direction)
Sort the dataset on the given column (1-based) in ascending or descending.
Parameters
Returns: void
Sample
sort(comparator)
Sort the dataset using the function as comparator. The comparator function is called to compare two rows, that are passed as arguments, and it will return -1/0/1 if the first row is less/equal/greater then the second row.
NOTE: starting with 7.2 release, when called on datasource(foundset) dataset, this function doesn't save the data anymore
Parameters
Function comparator comparator function
Returns: void
Sample
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