Uses of Interface
org.pentaho.commons.connection.IPentahoResultSet

Packages that use IPentahoResultSet

Package	Description
org.pentaho.commons.connection
org.pentaho.commons.connection.marshal
org.pentaho.commons.connection.memory

Uses of IPentahoResultSet in org.pentaho.commons.connection

Fields in org.pentaho.commons.connection declared as IPentahoResultSet

Modifier and Type	Field	Description
protected IPentahoResultSet	PentahoDataTransmuter.sourceResultSet

Methods in org.pentaho.commons.connection that return IPentahoResultSet

Modifier and Type	Method	Description
static IPentahoResultSet	PentahoDataTransmuter.crossTab(IPentahoResultSet source, int columnToPivot, int measureColumn, int columnToSortColumnsBy, Format pivotDataFormatter, Format sortDataFormatter, boolean orderedMaps)	This method takes a column of data, and turns it into multiple columns based on the values within the column.
static IPentahoResultSet	PentahoDataTransmuter.crossTab(IPentahoResultSet source, int columnToPivot, int measureColumn, Format pivotDataFormatter)
static IPentahoResultSet	PentahoDataTransmuter.crossTab(IPentahoResultSet source, int columnToPivot, int measureColumn, Format pivotDataFormatter, boolean orderedMaps)	This method takes a column of data, and turns it into multiple columns based on the values within the column.
static IPentahoResultSet	PentahoDataTransmuter.crossTabOrdered(IPentahoResultSet source, int columnToPivot, int measureColumn, int columnToSortColumnsBy, Format pivotDataFormatter, Format sortDataFormatter, boolean orderedMaps, int uniqueRowIdentifierColumn)
static IPentahoResultSet	PentahoDataTransmuter.crossTabOrdered(IPentahoResultSet source, int columnToPivot, int measureColumn, Format pivotDataFormatter)	Marc Batchelor Diatribe It's 6am, I've been up all night, but I gotta right this down.
static IPentahoResultSet	PentahoDataTransmuter.crossTabOrdered(IPentahoResultSet source, int columnToPivot, int measureColumn, Format pivotDataFormatter, boolean orderedMaps)
IPentahoResultSet	IPentahoConnection.executeQuery(String query)	Executes the specified query against the connection.
static IPentahoResultSet	PentahoDataTransmuter.flattenResultSet(IPentahoResultSet resultSet, int squashColumn)	Flatten a resultset based on a particular column, new values for each row trigger a new row in the flattened resultset.
IPentahoResultSet	IPentahoConnection.getResultSet()	Returns resultset of the last executed query.
IPentahoResultSet	PentahoDataTransmuter.getSourceResultSet()
IPentahoResultSet	IPentahoResultSet.memoryCopy()	Returns a memory copy of the results
IPentahoResultSet	PentahoDataTransmuter.pivot()
static IPentahoResultSet	PentahoDataTransmuter.pivot(IPentahoResultSet resultSet)	This rotates a IPentahoResultSet such that the row and column data are reversed and the data headers are also rotated. ie source.
IPentahoResultSet	IPentahoConnection.prepareAndExecuteQuery(String query, List parameters)	Builds the query based on the pattern and parameters list and executes it against the connection.
IPentahoResultSet	PentahoDataTransmuter.transmute(Integer[] rowsToInclude, Integer[] columnsToInclude, boolean pivot)
IPentahoResultSet	PentahoDataTransmuter.transmute(Integer columnForRowHeaders, Integer rowForColumnHeaders, boolean pivot)
IPentahoResultSet	PentahoDataTransmuter.transmute(Integer colForRowHeaders, Integer rowForColHeaders, Integer[] rowsToInclude, Integer[] columnsToInclude, boolean pivot)
IPentahoResultSet	PentahoDataTransmuter.transmute(String[][] rowsToInclude, String[][] columnsToInclude, boolean pivot)
IPentahoResultSet	PentahoDataTransmuter.transmute(String[] columnForRowHeaders, String[] rowForColumnHeaders, boolean pivot)
IPentahoResultSet	PentahoDataTransmuter.transmute(String[] columnForRowHeaders, String[] rowForColHeaders, String[][] rowsToInclude, String[][] columnsToInclude, boolean pivot)
static IPentahoResultSet	PentahoDataTransmuter.transmute(IPentahoResultSet source, boolean pivot)
static IPentahoResultSet	PentahoDataTransmuter.transmute(IPentahoResultSet source, Integer[] rowsToInclude, Integer[] columnsToInclude, boolean pivot)
static IPentahoResultSet	PentahoDataTransmuter.transmute(IPentahoResultSet source, Integer columnForRowHeaders, Integer rowForColumnHeaders, boolean pivot)
static IPentahoResultSet	PentahoDataTransmuter.transmute(IPentahoResultSet source, Integer columnForRowHeaders, Integer rowForColumnHeaders, Integer[] rowsToInclude, Integer[] columnsToInclude, boolean pivot)	Returns a memory result set that represents a grid of data and it's associated headers.
static IPentahoResultSet	PentahoDataTransmuter.transmute(IPentahoResultSet source, String[][] rowsToInclude, String[][] columnsToInclude, boolean pivot)
static IPentahoResultSet	PentahoDataTransmuter.transmute(IPentahoResultSet source, String[] columnForRowHeaders, String[] rowForColumnHeaders, boolean pivot)
static IPentahoResultSet	PentahoDataTransmuter.transmute(IPentahoResultSet source, String[] columnForRowHeaders, String[] rowForColumnHeaders, String[][] rowsToInclude, String[][] columnsToInclude, boolean pivot)	Returns a memory result set that represents a grid of data and it's associated headers.

Methods in org.pentaho.commons.connection with parameters of type IPentahoResultSet

Modifier and Type	Method	Description
static Integer[]	PentahoDataTransmuter.columnNamesToIndexes(IPentahoResultSet source, String[][] names)	Returns an array of column Indexes that match the names parameter
protected static Object[][]	PentahoDataTransmuter.constructColumnHeaders(IPentahoResultSet source, Integer rowForColumnHeaders)
protected static Object[][]	PentahoDataTransmuter.constructRowHeaders(IPentahoResultSet source, Integer columnForRowHeaders)	Constructs the headers based on the rule as stated in the columnForRowHeaders param.
static IPentahoResultSet	PentahoDataTransmuter.crossTab(IPentahoResultSet source, int columnToPivot, int measureColumn, int columnToSortColumnsBy, Format pivotDataFormatter, Format sortDataFormatter, boolean orderedMaps)	This method takes a column of data, and turns it into multiple columns based on the values within the column.
static IPentahoResultSet	PentahoDataTransmuter.crossTab(IPentahoResultSet source, int columnToPivot, int measureColumn, Format pivotDataFormatter)
static IPentahoResultSet	PentahoDataTransmuter.crossTab(IPentahoResultSet source, int columnToPivot, int measureColumn, Format pivotDataFormatter, boolean orderedMaps)	This method takes a column of data, and turns it into multiple columns based on the values within the column.
static IPentahoResultSet	PentahoDataTransmuter.crossTabOrdered(IPentahoResultSet source, int columnToPivot, int measureColumn, int columnToSortColumnsBy, Format pivotDataFormatter, Format sortDataFormatter, boolean orderedMaps, int uniqueRowIdentifierColumn)
static IPentahoResultSet	PentahoDataTransmuter.crossTabOrdered(IPentahoResultSet source, int columnToPivot, int measureColumn, Format pivotDataFormatter)	Marc Batchelor Diatribe It's 6am, I've been up all night, but I gotta right this down.
static IPentahoResultSet	PentahoDataTransmuter.crossTabOrdered(IPentahoResultSet source, int columnToPivot, int measureColumn, Format pivotDataFormatter, boolean orderedMaps)
static String	PentahoDataTransmuter.dump(IPentahoResultSet source)
static String	PentahoDataTransmuter.dump(IPentahoResultSet source, boolean useOrBar)
static IPentahoResultSet	PentahoDataTransmuter.flattenResultSet(IPentahoResultSet resultSet, int squashColumn)	Flatten a resultset based on a particular column, new values for each row trigger a new row in the flattened resultset.
static String[]	PentahoDataTransmuter.getCollapsedHeaders(int axis, IPentahoResultSet resultSet, char seperator)	Returns a string array where each element represents the concatenations of the headers for a sing column.
static String	DataUtilities.getXMLString(IPentahoResultSet resultSet)	Get an XML representation of the resultset
static IPentahoResultSet	PentahoDataTransmuter.pivot(IPentahoResultSet resultSet)	This rotates a IPentahoResultSet such that the row and column data are reversed and the data headers are also rotated. ie source.
static Integer[]	PentahoDataTransmuter.rowNamesToIndexes(IPentahoResultSet source, String[][] names)	Returns an array of row Indexes taht match the names parameter
static IPentahoResultSet	PentahoDataTransmuter.transmute(IPentahoResultSet source, boolean pivot)
static IPentahoResultSet	PentahoDataTransmuter.transmute(IPentahoResultSet source, Integer[] rowsToInclude, Integer[] columnsToInclude, boolean pivot)
static IPentahoResultSet	PentahoDataTransmuter.transmute(IPentahoResultSet source, Integer columnForRowHeaders, Integer rowForColumnHeaders, boolean pivot)
static IPentahoResultSet	PentahoDataTransmuter.transmute(IPentahoResultSet source, Integer columnForRowHeaders, Integer rowForColumnHeaders, Integer[] rowsToInclude, Integer[] columnsToInclude, boolean pivot)	Returns a memory result set that represents a grid of data and it's associated headers.
static IPentahoResultSet	PentahoDataTransmuter.transmute(IPentahoResultSet source, String[][] rowsToInclude, String[][] columnsToInclude, boolean pivot)
static IPentahoResultSet	PentahoDataTransmuter.transmute(IPentahoResultSet source, String[] columnForRowHeaders, String[] rowForColumnHeaders, boolean pivot)
static IPentahoResultSet	PentahoDataTransmuter.transmute(IPentahoResultSet source, String[] columnForRowHeaders, String[] rowForColumnHeaders, String[][] rowsToInclude, String[][] columnsToInclude, boolean pivot)	Returns a memory result set that represents a grid of data and it's associated headers.

Constructors in org.pentaho.commons.connection with parameters of type IPentahoResultSet

Constructor	Description
PentahoDataTransmuter(IPentahoResultSet resultSet)

Uses of IPentahoResultSet in org.pentaho.commons.connection.marshal

Methods in org.pentaho.commons.connection.marshal that return IPentahoResultSet

Modifier and Type	Method	Description
static IPentahoResultSet	ResultSetMarshaller.toResultSet(MarshallableResultSet data)	Converts a MarshallableResultSet object into an IPentahoResultSet.

Methods in org.pentaho.commons.connection.marshal with parameters of type IPentahoResultSet

Modifier and Type	Method	Description
static MarshallableResultSet	ResultSetMarshaller.fromResultSet(IPentahoResultSet results)	Converts an IPentahoResultSet into a MarshallableResultSet
void	MarshallableResultSet.setResultSet(IPentahoResultSet results)	Sets the result set to be converted

Uses of IPentahoResultSet in org.pentaho.commons.connection.memory

Classes in org.pentaho.commons.connection.memory that implement IPentahoResultSet

Modifier and Type	Class	Description
class	MemoryResultSet

Methods in org.pentaho.commons.connection.memory that return IPentahoResultSet

Modifier and Type	Method	Description
IPentahoResultSet	MemoryResultSet.memoryCopy()	Attention: It does not clone data!