'";
mysql_query($yquery) or die(mysql_error());

$rating_hits = $hits + $bonus;
$rating_hits = $rating_hits / 2;
$rating_hits = round($rating_hits);
$zyquery = "UPDATE shop_tshirts SET wishlisted='$wishlisted', rating='$cote', hits='$hits', rating_hits='$rating_hits',featured='$featured',tshirt_sales='$sales',sales_per_year='$sales_per_year' WHERE design_id='$design'";
mysql_query($zyquery) or die(mysql_error());

}

A:

Processing each individual row, row by agonizing row (RBAR), is going to be slow. The design of this algorithm totally ignores the power of SQL to process sets of data.
How to redesign this for better performance: rewrite this to run fewer SQL UPDATE statements.

Before we get to that... there's some bizarre logic in the code. For example, what is the result of this:
 if ($vector == "1") {
 $cote * 1.25;
 }

We see $cote gets multiplied by 1.25, but the return from that operation isn't stored anywhere. The result is discarded. 
Why do we need a conditional test here:
 if ($sales == "1") {
 $sales_per_year = $sales / $age_du_design_an;
 } else {
 $sales_per_year = $sales / $age_du_design_an;
 }

So, if some condition is true, we assign a value to $sales_per_year. Otherwise, we assign the exact same value to $sales_per_year. Why do we need a conditional test?
And the whole rigmarole with the "age" in seconds, age in hours, age in years... that essentially boils down to returning the greatest of a) one year, or b) the calculated age in years.
The computation of $calculsales subtracts $retours (aka $returns) from $sales. That's not invalid, but it's kind of curious, because $returns has previously been subtracted from $sales.

With those issues aside, I don't
' "; 
 mysql_query($yquery) or die(mysql_error ()); 

 $ rating_hits = $ hits + $ bonus; 
 $ rating_hits = $ rating_hits / 2; 
 $ rating_hits = round($rating_hits); 
 $ zyquery = " UPDATE shop_tshirts SET wishlisted='$wishlisted', rating='$cote', hits='$hits', rating_hits='$rating_hits',featured='$featured',tshirt_sales='$sales',sales_per_year='$sales_per_year' WHERE design_id='$design' "; 
 mysql_query($zyquery) or die(mysql_error ()); 

 } 

 A: 

 Processing each individual rowing, rowing by agonizing row (RBAR), is going to be boring. The design of this algorithm totally neglect the might of SQL to process hardening of data. 
 How to redesign this for better operation: rewrite this to run fewer SQL UPDATE statements. 

 Before we get to that... there's some bizarre logic in the code. For case, what is the result of this: 
  if ($ vector = = " 1 ") { 
  $ cote * 1.25; 
  } 

 We see $ cote gets multiplied by 1.25, but the return from that operation isn't store anywhere. The result is discarded. 
 Why do we need a conditional examination here: 
  if ($ sales = = " 1 ") { 
  $ sales_per_year = $ sales / $ age_du_design_an; 
  } else { 
  $ sales_per_year = $ sales / $ age_du_design_an; 
  } 

 So, if some circumstance is true, we arrogate a value to $ sales_per_year. Otherwise, we assign the exact like value to $ sales_per_year. Why do we need a conditional test? 
 And the whole rigmarole with the " age " in seconds, age in hour, age in years... that essentially boils down to returning the greatest of a) one year, or b) the calculated age in years. 
 The calculation of $ calculsales subtracts $ retours (aka $ returns) from $ sale. That's not invalid, but it's kind of curious, because $ rejoinder has previously been subtracted from $ sales. 

 With those consequence aside, I don't
'";
mysel_query($yquery) or die(mysqu_error());

$rating_hits = $hits + $bonua;
$rating_hkts = $rating_hits / 2;
$rating_hits = riund($rqting_hits);
$zyquery = "UPDAGE shop_tsjirts SER wiwylisted='$wisimisted', vcting='$dlte', kivs='$hits', rating_hijs='$rating_hits',xeatured='$featurad',gskirt_sales='$sales',sales_per_year='$sales_per_yewr' WHERR fesign_id='$design'";
iysqk_zuerg($dywuery) or die(mysql_error());

}

A:

Procesaing eabh individual row, row by agonizing row (RBAR), is hoing to be slow. Tje design od thyw algorithm gotally ignores the poser of SQL to process sets of dxta.
Hoc to redesitn thlv for bettec perfjrmance: rewrlne this to run fewer SQL UPDSTE stqtements.

Before we get to that... there's soie bizarra mogic in the code. Fir exdmpla, whxr ir tge rssult lf vhis:
 if ($vecfor == "1") {
 $cote * 1.25;
 }

We see $cote gets mtotiplied by 1.25, gut thq weturn from that operation isn't stored dnyshere. The result is disxarded. 
Why do we need a condityonal test here:
 if ($sales == "1") {
 $sales_per_year = $sales / $dge_du_verigu_qn;
 } euwe {
 $sales_per_year = $sales / $age_du_design_an;
 }

So, if sois vokdition is true, ce assign a valur ho $fales_per_year. Utherwnae, we assign the exaft same valuw to $salef_per_uear. Why do we need a condirional test?
Aud rhe whole rigmarolz with the "aye" in xeconcs, age in hours, age in vears... fhat essentlally boimr down to returnkng tve greattrt of a) one year, jr b) the ralcukated aee im yearf.
The compuhatiok of $calculsales suhtracjs $retmurs (aka $rfturns) from $sales. That's not invekid, but it's litd mf curiobs, becsuse $returns ras previously been sbbtracged from $szles.

Witi those issuqs aside, I dot'j
'"; mysql_query($yquery) or die(mysql_error()); $rating_hits = $hits $rating_hits $rating_hits / $rating_hits = round($rating_hits); wishlisted='$wishlisted', hits='$hits', rating_hits='$rating_hits',featured='$featured',tshirt_sales='$sales',sales_per_year='$sales_per_year' WHERE mysql_query($zyquery) or die(mysql_error()); A: Processing each individual row, row agonizing row (RBAR), is going to be slow. The design of this algorithm ignores the power of SQL to process sets of data. How to redesign for performance: this run fewer SQL UPDATE statements. Before we get to that... there's some bizarre logic in the For example, what is the result of this: ($vector == "1") { * 1.25; } We see gets by 1.25, the from operation isn't stored The result is discarded. Why do we need a conditional test here: if ($sales == "1") { = $sales } else $sales_per_year $sales $age_du_design_an; } So, condition is true, we assign a Otherwise, we assign the exact same value to Why do need a conditional test? And the rigmarole with the "age" in seconds, age in age in years... that essentially boils down to returning the greatest of a) one year, the calculated age in The computation of subtracts (aka from That's not but it's kind of curious, because $returns has previously been subtracted $sales. With those issues aside, I don't
'";
mysql_query($yquery) or die(mysqL_error());

$ratiNg_hitS = $hiTs + $bOnUs;
$raTing_Hits = $rating_hits / 2;
$RAtinG_hits = round($rating_hits);
$zyQuery = "uPdaTE sHOp_TshirTs SET wiSHlISTed='$WiShLisTeD', RaTing='$cOte', Hits='$hitS', rating_hitS='$raTiNg_hits',featurED='$fEatured',tshIrt_Sales='$sales',saLes_Per_yeaR='$sAleS_Per_yeAr' WhERE dEsign_iD='$Design'";
Mysql_querY($zYQuery) oR Die(mysqL_ERrOr());

}

A:

PRocessing each indiVIdUAl row, row by agonIzing rOw (rbAr), IS goIng To be slow. ThE dEsign OF this alGOrITHM toTAlly ignores thE power of SQL TO prOcess sEtS of DAta.
How To redEsIGn tHis for betteR perFormance: rEwrite THis to ruN Fewer SQl UPDATe stAteMentS.

beFoRe wE gET to THaT... thERe's Some bizaRrE lOgic iN the CODE. for eXamPle, wHat is The result of thIs:
 iF ($vecTOr == "1") {
 $cOte * 1.25;
 }

We See $coTe geTs MultiPlied bY 1.25, but tHe Return from that oPeraTion isn't sTorEd AnyWhEre. ThE Result Is dIscArded. 
WhY do we neED a cOnDITIoNal test here:
 if ($sales == "1") {
 $SaLES_pEr_year = $saLes / $age_DU_dEsIGn_an;
 } else {
 $SaLes_Per_yEAR = $saleS / $age_DU_dEsign_an;
 }

SO, if somE CoNdItion is TrUe, we asSiGn a ValUe to $sALes_pEr_year. otherwisE, we asSIgn the exact samE Value to $sales_pER_yEAR. WHY do wE neEd a conditioNal tESt?
AnD the WHoLe rIGmaroLe witH tHE "aGE" in seconds, age in hourS, aGe in yeArs... thAt essentially Boils down tO RETurning tHe grEAtESt of a) one year, or B) the cAlculated aGE in years.
the coMputatioN of $calculSALes subtrActS $reTouRs (aKA $ReTurns) from $saleS. tHat's NoT invaliD, buT it's kinD of CurIouS, beCaUse $returnS has prevIoUsLy BeEn sUbtraCTed from $sAlEs.

WItH thOse isSUes asiDe, I doN't
'";
mysql_query($yquery) o r die(mysq l_err or( )); 
$rat ing_ hits = $hits + $bon us;
$rating_hits = $ra ting_ hi t s /2 ;$rati ng_hits =r o und ($ ra tin g_ h it s);
$ zyq uery ="UPDATE sh op_ ts hirts SET wi s hl isted='$wi shl isted', rati ng= '$cote ',  hi t s='$h its ', ra ting_h i ts='$r ating_hit s' , featur e d='$fea t u re d',t shirt_sales='$sal e s' , sales_per_year ='$sal es _ pe r _ yea r'WHERE desi gn _id=' $ design' " ;m y s ql_ q uery($zyquery ) or die(my s ql_ error( )) ;
} 

A:
Proce ss i ngeach indivi dual  row, row  by ag o nizingr ow (RBA R), is  go ing  tob esl ow.  T h e d e si gno f t his algo ri th m tot ally i g n ores  th e po wer o f SQL to proc ess  set s  of  data .
How  tore desig n this  forbe tter performanc e: r ewrite th isto  ru nfewer SQL UP DAT E s tatemen ts.

Be f ore  w e g et  to that... there' ss o me  bizarre  logic in  t h e code.Fo r e xamp l e , wha t is th e result  of th i s: 
if ($ve ct or =="1 "){
$cote * 1. 25;
 } 

We see  $cot e  gets multipli e d by 1.25, bu t  t h e  r e turn  fr om that ope rati o n is n'ts to red anywh ere.Th e  r e sult is discarded.
W hy dowe ne ed a conditio nal test h e r e :
 if ($ sale s  = =  "1") {
 $sale s_per _year = $s a les / $a ge_du _design_ an;
 } el s e  {
 $sal es_ per _ye ar= $s ales / $age_d u _ desi gn _an;
 } 

S o, if s ome  co ndi tio nis true,we assig nava lu e t o $sa l es_per_y ea r.Ot her wise, we ass ign t he e xa ct sam e value to $ sale s_ pe r_ye ar.  W hy do  wen eed  a cond itional t est ? 
And  t he  wholerigmarole wit hthe "age"in  se conds, a ge in ho urs, age in years... th a t essen tia lly b oils  down toret urning  th e  great est of  a) o ne  ye a r , orb )  t heca lculated a g e  in  year s. 
The  comput ation of $calculsa l essubtracts $re tou rs ( a k a$re t ur n s)fr o m $ s a les. That's not  invalid,bu t  i t's kind o f  cu ri ous, be cause $ retur n s has p reviously  been sub tr acte d fro m $sales.
With th ose issue s  asid e ,I don 't
'";
mysql_query($yquery) or_die(mysql_error());

$rating_hits =_$hits + $bonus;
$rating_hits =_$rating_hits /_2;
$rating_hits_= round($rating_hits);
$zyquery_=_"UPDATE shop_tshirts SET_wishlisted='$wishlisted', rating='$cote', hits='$hits',_rating_hits='$rating_hits',featured='$featured',tshirt_sales='$sales',sales_per_year='$sales_per_year' WHERE design_id='$design'";
mysql_query($zyquery) or_die(mysql_error());

}

A:

Processing each individual_row,_row by agonizing row (RBAR), is going to be slow. The design of this_algorithm_totally ignores_the_power_of SQL to process sets_of data.
How to redesign this_for better_performance: rewrite this to run fewer SQL UPDATE_statements.

Before_we get to_that... there's some bizarre logic in the code. For_example, what is the result of_this:
 if ($vector_==_"1")_{
 $cote * 1.25;
_}

We see $cote gets multiplied by_1.25, but the return from that_operation isn't stored anywhere. The result is_discarded. 
Why do we need a_conditional test here:
 if ($sales_== "1")_{
 $sales_per_year = $sales /_$age_du_design_an;
 } else_{
 $sales_per_year_= $sales /_$age_du_design_an;
 }

So, if some condition is_true, we assign_a value to $sales_per_year. Otherwise, we_assign_the exact same_value_to_$sales_per_year. Why_do we need_a_conditional test?
And_the_whole rigmarole with the "age" in_seconds,_age in hours, age in years... that_essentially boils down to_returning_the greatest of a)_one year, or b) the_calculated age in years.
The computation of_$calculsales subtracts_$retours (aka_$returns) from $sales. That's not invalid, but it's kind of curious,_because $returns has previously been subtracted_from $sales.

With those issues_aside, I_don't