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POBig Json data to mysql
 

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    <p>Im trying to import json data to mysql.My json file nearly 3.7Mb and have nearly 17k rows (test data real data will be nearly 65k rows ).But with my script its very slow and it takes nearly 8-9min.Is there any fast way to import json data to mysql with php progress interface ? And im trying to add progress bar feature and its works for now.</p> <pre><code>$veri=json_decode(file_get_contents('auctions.json')); $sayi=count($veri-&gt;alliance-&gt;auctions); $a=$veri-&gt;alliance-&gt;auctions; $yuzde=round($sayi/100); echo "&lt;div id='tasiyici'&gt;"; $sql=$db-&gt;prepare("INSERT INTO auctions (id, auc, item, owner, bid, buyout, quantity, timeLeft) VALUES ('',?,?,?,?,?,?,?)"); for ($i=0;$i&lt;=$sayi;$i++){ $sql-&gt;execute(array($a[$i]-&gt;auc,$a[$i]-&gt;item,$a[$i]-&gt;owner,$a[$i]-&gt;bid,$a[$i]-&gt;buyout,$a[$i]-&gt;quantity,$a[$i]-&gt;timeLeft)); if($i%$yuzde=='0'){ $y=$i/$yuzde; if(($y*4+4)&gt;"180"){$pos=40-(($y*4+4)-180); $color="color:#fff";} if(($y*4+4)&gt;=220){$pos=0;} echo "&lt;div class='rakam' style='background-position:-".$pos."px 0;".$color."'&gt;%".($y+1)."&lt;/div&gt;"; echo "&lt;div class='yuzde' style='width:".($y*4+4)."px;'&gt;&lt;/div&gt;"; ob_flush(); flush(); } } echo "&lt;/div&gt;"; echo "&lt;br&gt; $sayi data added."; </code></pre> <p>CSS Codes</p> <pre><code>&lt;style&gt; body { font-family:Arial; } #tasiyici { width:400px; height:17px; display: block; position: relative; margin:50px auto; background:#e3e3e3; border-radius:5px; overflow: hidden; border:1px solid #ccc; } .yuzde { height:17px; display: block; width:1px; background:url("progressOverlay.png"); position: absolute; top:0; left:0; z-index:1; } .rakam { width:40px; height:16px; display: block; line-height:17px; position: absolute; left:50%; top:0; margin-left:-20px; z-index:9999; background:url("progressOverlay.png") -40px 0 #e3e3e3 no-repeat; font-size:11px; } &lt;/style&gt; </code></pre>
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    1. COYou could try inserting more than one row per execute, but I'm sceptic if this will make a big difference with prepared statements. I would try inserting at least 1% of your data per execute. Reusing a `INSERT INTO` won't make much difference as your bottle neck is the amount of data. Another way is to convert your JSON-data and do some bulk import like http://stackoverflow.com/questions/2811096/mysql-bulk-insert-from-csv-data-files
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    2. COSo `$sayi` could be 65,000? If thats the case, thats 65,000 queries your running. Maybe instead try executing the queries in batches of 100 or 1,000. I'm not sure how to do it with prepare/execute, but I would just start off with `insert into table (keys) values (values),(values),(values)...` etc and keep appending `(values),` till you've got 100 or 1000 or whatever, and then execute that. Should be a bit faster because there'd be less mysql connections (depending on your setup). batches of 1000 will cut it down to 65 queries
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    3. COThank you guys i will try 1000 row for 1 query.I will add results here.
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