SELECT * FROM tab1

##</code><code>##

   $tab1

##</code><code>##

   SELECT *
   FROM tab1
   WHERE col1 = 'hello' AND col2 = 5
      OR col1 = 'world' AND col2 = 7

##</code><code>##

   $tab1 matching Relation:{
     col1 => 'hello', col2 => 5,
     col1 => 'world', col2 => 7
   }

##</code><code>##

   SELECT col1, col2, col3, col5, col6, col7, col8
   FROM tab

##</code><code>##

   $tab@{!bigcol4}

##</code><code>##

   SELECT age, ctry, COUNT(*) AS count_per_age_ctry
   FROM people
   GROUP BY age, ctry

##</code><code>##

   $people@{#@count_per_age_ctry <- !age,ctry}

##</code><code>##

   $x := $y
   $y := $x

##</code><code>##

     recipe count_heads (&$count : NNInt, $search : Text,
             $people ::= $fed.data.db1.people) {
         with value-filter filt 
           (Bool <-- $topic : Tuple, $search : Text) {
             $.name like ('%' ~ $search ~ '%')
         }
         $count := r# ($people where <nlx.lib.filt>( $>search ))
     }

##</code><code>##

     updater make_coprime (&$a : NNInt, &$b : NNInt) {
         with function gcd (NNInt <-- $a : NNInt, $b : NNInt) {
             $b = 0 ?? $a !! rtn( a => $b, b => $a mod $b round Down )
         }
         $gcd ::= nlx.lib.gcd( $>a, $>b )
         $a := $a div $gcd round Down
         $b := $b div $gcd round Down
     }