SilkFunction function = SilkFunction.class.cast(event.getElement());
evalFunction(function);
break;
- case MULTILINE_ENTRY_SEPARATOR: // >>
+ case MULTILINE_ENTRY_SEPARATOR: // ==
{
SilkContext context = parseContext.peekLastContext();
SilkNode schema = context.contextNode;
if (parseContext.isContextNodeStackEmpty()) {
// use default column names(c1, c2, ...)
SilkDataLine line = SilkDataLine.class.cast(currentEvent.getElement());
- String[] columns = tabSplit.split(line.getDataLine(), 0);
+ String[] columns = tabSplit.split(line.getTrimmedDataLine(), 0);
int index = 1;
visit("row", null);
for (String each : columns) {
SilkDataLine line = SilkDataLine.class.cast(currentEvent.getElement());
switch (schema.getOccurrence()) {
case SEQUENCE:
- text(line.getDataLine());
+ text(line.getTrimmedDataLine());
+ break;
+ case SEQUENCE_WITH_NEWLINE:
+ text(line.getDataLine() + StringUtil.NEW_LINE);
break;
case ZERO_OR_MORE:
// CSV data
{
- evalDatalineColumn(schema, line.getDataLine());
+ evalDatalineColumn(schema, line.getTrimmedDataLine());
}
break;
case TABBED_SEQUENCE: {
- String[] columns = tabSplit.split(line.getDataLine(), 0);
+ String[] columns = tabSplit.split(line.getTrimmedDataLine(), 0);
int columnIndex = 0;
visit(schema.getName(), schema.hasValue() ? schema.getValue().toString() : null);
parseContext.isAttributeOpen = true;
}
- text(line.getDataLine().trim());
+ text(line.getTrimmedDataLine());
break;
}
}