/**
* Compares 2 values that are in this column. Retruns an int representation of the relation
* between the values.
*
* @param pos1 - the row number of the first value to be compared
* @param pos2 - the row number of the second value to be compared
* @return int - representing the relation between the values at row # <code>pos1</code> and row #
* <code>pos2</code>. if pos1's value > pos2' value returns 1. if pos1's value < pos2' value
* returns -1. returns 0 if they are equal.
*/
public int compareRows(int pos1, int pos2) {
// validating the objects in the given rows.
int val = validate(pos1, pos2);
if (val <= 1) {
return val;
}
Object obj1 = getObject(pos1);
Object obj2 = getObject(pos2);
// if both are of the same class - comparing them
if (obj1.getClass().equals(obj2.getClass())) {
return compareObjects(obj1, obj2);
}
// if all the elements in this column are numeric - converting
// the objects to doubles and comparing them.
if (isNumeric()) {
return SparseDoubleColumn.compareDoubles(getDouble(pos1), getDouble(pos2));
}
// if not all of the elements are numeric - coverting the objects to strings
// and comparing them.
return SparseStringColumn.toStringObject(obj1)
.compareTo(SparseStringColumn.toStringObject(obj2));
}
/**
* Compared the value represented by element and the one of row number <code>pos</code>. <code>
* elements</code> will be converted to a compatible type to this column. if element > pos returns
* 1. if element < pos retruns -1. if the are equal returns 0. if one of the representation does
* not hold a value, it is considered smaller than the other.
*/
public int compareRows(Object element, int pos) {
// validating the objects to be compared
int val = validate(element, pos);
if (val <= 1) {
return val;
}
// retrieving the object from pos
Object obj = getObject(pos);
// if they are of the smae type - comparing them
if (element.getClass().equals(obj.getClass())) {
return compareObjects(element, obj);
}
// if both are numbers - comparing them as doubles.
if (element instanceof Number && obj instanceof Number) {
return SparseDoubleColumn.compareDoubles(
SparseDoubleColumn.toDouble(element), SparseDoubleColumn.toDouble(obj));
}
// they are probably not mutually comparable...
// if this is an object column, i.e. the type of the objects is unknown
// converting both of the objects into strings and comparing them
if (ColumnTypes.OBJECT == getType()) {
return SparseStringColumn.toStringObject(element)
.compareTo(SparseStringColumn.toStringObject(obj));
}
// this is not an object column - converting element to the type of this
// column, and comparing the objects.
switch (getType()) {
case (ColumnTypes.BYTE_ARRAY):
element = SparseByteArrayColumn.toByteArray(element);
break;
case (ColumnTypes.CHAR_ARRAY):
element = SparseCharArrayColumn.toCharArray(element);
break;
case (ColumnTypes.STRING):
element = SparseStringColumn.toStringObject(element);
break;
default:
break;
}
return compareObjects(element, obj);
}
private void toComparableArray(Object[] array) {
for (int i = 0; i < array.length; i++) {
if (type == ColumnTypes.CHAR_ARRAY || type == ColumnTypes.BYTE_ARRAY) {
array[i] = SparseStringColumn.toStringObject(array[i]);
}
}
}
/**
* Inserts a new entry in the Column at position <code>pos</code>. All entries at row numbers
* greater than <codE>pos</code> are moved down the column to the next row.
*
* @param newEntry the newEntry to insert
* @param pos the position to insert at
*/
public void insertRow(Object newEntry, int pos) {
switch (getType()) {
case ColumnTypes.BYTE_ARRAY:
newEntry = SparseByteArrayColumn.toByteArray(newEntry);
break;
case ColumnTypes.CHAR_ARRAY:
newEntry = SparseCharArrayColumn.toCharArray(newEntry);
break;
case ColumnTypes.STRING:
newEntry = SparseStringColumn.toStringObject(newEntry);
break;
}
super.insertRow(newEntry, pos);
}
/**
* Returns the value at row # row, represented as a String.
*
* @param row the row number
* @return a String Object representing the value at row # row. if no such value exists returns
* null
*/
public String getString(int row) {
Object obj = elements.get(row);
return SparseStringColumn.toStringObject(obj);
}