# Differences from other programming languages
The Miller programming language is intended to be straightforward and familiar,
as well as [not overly complex](reference-dsl-complexity.md). It doesn't try to
break new ground in terms of syntax; there are no classes or closures, and so
on.
While the [Principle of Least
Surprise](https://en.wikipedia.org/wiki/Principle_of_least_astonishment) is
often held to, nonetheless the following may be surprising.
## No ++ or --
There is no `++` or `--` [operator](reference-dsl-operators.md). To increment
`x`, use `x = x+1` or `x += 1`, and similarly for decrement.
## Semicolons as delimiters
You don't need a semicolon to end expressions, only to separate them. This
was done intentionally from the very start of Miller: you should be able to do
simple things like `mlr put '$z = $x * $y' myfile.dat` without needing a
semicolon.
Note that since you also don't need a semicolon before or after closing curly
braces (such as `begin`/`end` blocks, `if`-statements, `for`-loops, etc.) it's
easy to key in a few semicolon-free statements, and then to forget a
semicolon where one is needed . The parser tries to remind you about semicolons
whenever there's a chance a missing semicolon might be involved in a parse
error.
mlr --csv --from example.csv put -q '
begin {
@count = 0 # No semicolon required -- before closing curly brace
}
$x=1 # No semicolon required -- at end of expression
'
mlr --csv --from example.csv put -q '
begin {
@count = 0 # No semicolon required -- before closing curly brace
}
$x=1 # Needs a semicolon after it
$y=2 # No semicolon required -- at end of expression
'
mlr: cannot parse DSL expression.
Parse error on token "$y" at line 6 columnn 3.
Please check for missing semicolon.
Expected one of:
$ ; > >> | ? || ^^ && ?? ??? =~ !=~ == != >= < <= ^ & << >>> + - .+ .- .
* / // % .* ./ .// ** [ [[ [[[
## elif
Miller has [`elif`](reference-dsl-control-structures.md#if-statements), not `else if` or `elsif`.
## Required curly braces
Bodies for all compound statements must be enclosed in curly braces, even if the body is a single statement:
mlr ... put 'if ($x == 1) $y = 2' # Syntax error
mlr ... put 'if ($x == 1) { $y = 2 }' # This is OK
## No autoconvert to boolean
Boolean tests in `if`/`while`/`for`/etc must always take a boolean expression:
`if (1) {...}` results in the parse error
`Miller: conditional expression did not evaluate to boolean.`,
Likewise `if (x) {...}`, unless `x` is a variable of boolean type.
Please use `if (x != 0) {...}`, etc.
## Integer-preserving arithmetic
As discussed on the [arithmetic page](reference-main-arithmetic.md) the sum, difference, and product of two integers is again an integer, unless overflow occurs -- in which case Miller tries to convert to float in the least obtrusive way possible.
Likewise, while quotient and remainder are generally pythonic, the quotient and exponentiation of two integers is an integer when possible.
$ mlr repl -q
[mlr] 6/2
3
[mlr] typeof(6/2)
int
[mlr] 6/5
1.2
[mlr] typeof(6/5)
float
[mlr] typeof(7**8)
int
[mlr] typeof(7**80)
float
## Print adds spaces around multiple arguments
As seen in the previous example,
[`print`](reference-dsl-output-statements.md#print-statements) with multiple
comma-delimited arguments fills in intervening spaces for you. If you want to
avoid this, use the dot operator for string-concatenation instead.
mlr -n put -q '
end {
print "[", "a", "b", "c", "]";
print "[" . "a" . "b" . "c" . "]";
}
'
[ a b c ]
[abc]
Similarly, a final newline is printed for you; use [`printn`](reference-dsl-output-statements.md#print-statements) to avoid this.
## Absent-null
Miller has a somewhat novel flavor of null data called _absent_: if a record
has a field `x` then `$y=$x` creates a field `y`, but if it doesn't then the assignment
is skipped. See the [null-data page](reference-main-null-data.md) for more
information.
## Maps
See the [maps page](reference-main-maps.md).
## Arrays, including 1-up array indices
Arrays are indexed starting with 1, not 0. This is discussed in detail on the [arrays page](reference-main-arrays.md).
mlr --csv --from data/short.csv cat
word,value
apple,37
ball,28
cat,54
mlr --csv --from data/short.csv put -q '
@records[NR] = $*;
end {
for (i = 1; i <= NR; i += 1) {
print "Record", i, "has word", @records[i]["word"];
}
}
'
Record 1 has word apple
Record 2 has word ball
Record 3 has word cat
See the [arrays page](reference-main-arrays.md) for more about arrays.
## Two-variable for-loops
Miller has a [key-value loop flavor](reference-dsl-control-structures.md#key-value-for-loops): whether `x` is a map or array, in `for (k,v in x) { ... }` the `k` will be bound to successive map keys (for maps) or 1-up array indices (for arrays), and the `v` will be bound to successive map values.
## Semantics for one-variable for-loops
Miller also has a [single-variable loop flavor](reference-dsl-control-structures.md#single-variable-for-loops). If `x` is a map then `for (e in x) { ... }` binds `e` to successive map _keys_ (not values as in PHP). But if `x` is an array then `for e in x) { ... }` binds `e` to successive array _values_ (not indices).