how about this?
public String fillSpaces(int len) {
/* the spaces string should contain spaces exceeding the max needed */
String spaces = " ";
return spaces.substring(0,len);
}
EDIT: I've written a simple code to test the concept and here what i found.
Method 1: adding single space in a loop:
public String execLoopSingleSpace(int len){
StringBuilder sb = new StringBuilder();
for(int i=0; i < len; i++) {
sb.append(' ');
}
return sb.toString();
}
Method 2: append 100 spaces and loop, then substring:
public String execLoopHundredSpaces(int len){
StringBuilder sb = new StringBuilder(" ")
.append(" ").append(" ").append(" ")
.append(" ").append(" ").append(" ")
.append(" ").append(" ").append(" ");
for (int i=0; i < len/100 ; i++) {
sb.append(" ")
.append(" ").append(" ").append(" ")
.append(" ").append(" ").append(" ")
.append(" ").append(" ").append(" ");
}
return sb.toString().substring(0,len);
}
The result I get creating 12,345,678 spaces:
C:\docs\Projects> java FillSpace 12345678
method 1: append single spaces for 12345678 times. Time taken is **234ms**. Length of String is 12345678
method 2: append 100 spaces for 123456 times. Time taken is **141ms**. Length of String is 12345678
Process java exited with code 0
and for 10,000,000 spaces:
C:\docs\Projects> java FillSpace 10000000
method 1: append single spaces for 10000000 times. Time taken is **157ms**. Length of String is 10000000
method 2: append 100 spaces for 100000 times. Time taken is **109ms**. Length of String is 10000000
Process java exited with code 0
combining direct allocation and iteration always takes less time, on average 60ms less when creating huge spaces. For smaller sizes, both results are negligible.
But please continue to comment :-)
append(' ')
instead... it involves a little bit less computing... – Poisson