t = db.distinct_index2;
t.drop();

t.ensureIndex( { a : 1 , b : 1 } )
t.ensureIndex( { c : 1 } )

// Uniformly distributed dataset.
// If we use a randomly generated dataset, we might not
// generate all the distinct values in the range [0, 10).
for ( var a=0; a<10; a++ ) {
    for ( var b=0; b<10; b++ ) {
        for ( var c=0; c<10; c++ ) {
            t.insert( { a : a , b : b , c : c } );
        }
    }
}

correct = []
for ( i=0; i<10; i++ )
    correct.push( i )

function check( field ){
    res = t.distinct( field )
    res = res.sort()
    assert.eq( correct , res , "check: " + field );

    if ( field != "a" ){
        res = t.distinct( field , { a : 1 } )
        res = res.sort()
        assert.eq( correct , res , "check 2: " + field );
    }
}

check( "a" )
check( "b" )
check( "c" )

// hashed index should produce same results.
t.dropIndexes();
t.ensureIndex( { a : "hashed" } );
check( "a" );
