Java vs MySQL

[Sxo Pi1]

Hi all,
to optimize performance of some calculations on huge data we rewrite some java logic to stored procedures on MySQL side. Removing app/db transport should lead to performance progress but instead we noticed regress. At this point bottle neck localized at mathematical functions calculations. This is confusing. Should this be so or am i wrong? Time difference is about 99.8% for benefit of java!!!

MySQL test:

DROP PROCEDURE IF EXISTS TEST_PERF;
CREATE PROCEDURE TEST_PERF
(IN loop_count INT)
BEGIN
DECLARE lt1, ln1, lt2, ln2 DECIMAL(10,5);
DECLARE rlt1, rlt2, rln1, rln2, s1, s2, c1, c2, sd, cd DECIMAL(10,5);
DECLARE i INT DEFAULT 0;
DECLARE tdiff TIMESTAMP;

SET tdiff=NOW();
loop1: LOOP
IF i>loop_count THEN
LEAVE loop1;
END IF;
SET lt1=RAND()*100;
SET ln1=RAND()*100;
SET lt2=RAND()*100;
SET ln2=RAND()*100;

SET rlt1 = RADIANS(lt1);
SET rln1 = RADIANS(ln1);
SET rlt2 = RADIANS(lt2);
SET rln2 = RADIANS(ln2);
SET s1 = SIN(rlt1);
SET s2 = SIN(rlt2);
SET c1 = COS(rlt1);
SET c2 = COS(rlt2);
SET sd = SIN(rln1 - rln2);
SET cd = COS(rln1 - rln2);
SET i=i+1;
END LOOP loop1;
END;
call TEST_PERF(1000000);


Java test:
public static void main(String[] args) {
long t1 = System.currentTimeMillis();
testPerf();
long t2 = System.currentTimeMillis();
System.out.println("executed in " + (t2 - t1));
}

public static void testPerf(){
double rlt1, rln1, rlt2, rln2, lt1, ln1, lt2, ln2, s1, s2, c1, c2, sd, cd;
for (int i=0; i<1000000; i++){
lt1 = Math.random()*100;
lt2 = Math.random()*100;
ln1 = Math.random()*100;
ln2 = Math.random()*100;

rlt1 = Math.toRadians(lt1);
rln1 = Math.toRadians(ln1);
rlt2 = Math.toRadians(lt2);
rln2 = Math.toRadians(ln2);

s1 = Math.sin(rlt1);
s2 = Math.sin(rlt2);
c1 = Math.cos(rlt1);
c2 = Math.cos(rlt2);

sd = Math.sin(rln1 - rln2);
cd = Math.cos(rln1 - rln2);
}
}