将大型CSV文件导入MySQL [英] Import Large CSV file into MySQL
问题描述
我正在尝试将一个csv文件导入到mysql表中，并且我目前有一个逐行运行的脚本，因为我需要对与另一个id组合在一起的id进行哈希处理，并对mysql格式的日期进行格式化.
csv文件的列比我当前导入的列更多.仅导入所有列是否更容易?
我正在阅读有关LOAD DATA INFILE(http://dev.mysql.com/doc/refman/5.1/en/load-data.html)的内容，但是我想知道如何使用它并散列ID和格式化日期而不执行逐行执行.我当前的脚本花费的时间太长，并且在运行时导致网站性能问题.
这就是我所拥有的:
$url = 'http://www.example.com/directory/file.csv';
if (($handle = fopen($url, "r")) !== FALSE)
{
fgetcsv($handle, 1000, ",");
while (($data = fgetcsv($handle, 1000, ",")) !== FALSE)
{
$EvID = $data[0];
$Ev = $data[1];
$PerID = $data[2];
$Per = $data[3];
$VName = $data[4];
$VID = $data[5];
$VSA = $data[6];
$DateTime = $data[7];
$PCatID = $data[8];
$PCat = $data[9];
$CCatID = $data[10];
$CCat = $data[11];
$GCatID = $data[12];
$GCat = $data[13];
$City = $data[14];
$State = $data[15];
$StateID = $data[16];
$Country = $data[17];
$CountryID = $data[18];
$Zip = $data[19];
$TYN = $data[20];
$IMAGEURL = $data[21];
$URLLink = $data[22];
$data[7] = strtotime($data[7]);
$data[7] = date("Y-m-d H:i:s",$data[7]);
if((($PCatID == '2') && (($CountryID == '217') or ($CountryID == '38'))) || (($GCatID == '16') or ($GCatID == '19') or ($GCatID == '30') or ($GCatID == '32')))
{
if(!mysql_query("INSERT IGNORE INTO TNDB_CSV2
(id, EvID, Event, PerID, Per, VName,
VID, VSA, DateTime, PCatID, PCat,
CCatID, CCat, GCatID, GCat, City,
State, StateID, Country, CountryID, Zip,
TYN, IMAGEURL) VALUES
('".md5($EventID.$PerformerID)."','".addslashes($data[0])."','".addslashes($data[1])."','".addslashes($data[2])."','".addslashes($data[3])."','".addslashes($data[4])."',
'".addslashes($data[5])."','".addslashes($data[6])."','".addslashes($data[7])."','".addslashes($data[8])."','".addslashes($data[9])."',
'".addslashes($data[10])."','".addslashes($data[11])."','".addslashes($data[12])."','".addslashes($data[13])."','".addslashes($data[14])."',
'".addslashes($data[15])."','".addslashes($data[16])."','".addslashes($data[17])."','".addslashes($data[18])."','".addslashes($data[19])."',
'".addslashes($data[20])."','".addslashes($data[21])."')"))
{
exit("<br>" . mysql_error());
}
}
}
fclose($handle);
}
总是非常感谢您的帮助.预先感谢.
请首先尝试优化脚本.首先，除非别无选择，否则在导入时切勿运行单个查询，否则网络开销可能是致命的.
尝试类似的方法(显然未经测试并在SO文本框中进行了编码，请检查方括号是否与e.c.t.相符):
$url = 'http://www.example.com/directory/file.csv';
if (($handle = fopen($url, "r")) !== FALSE)
{
fgetcsv($handle, 1000, ",");
$imports = array();
while (($data = fgetcsv($handle, 1000, ",")) !== FALSE)
{
$EvID = $data[0];
$Ev = $data[1];
$PerID = $data[2];
$Per = $data[3];
$VName = $data[4];
$VID = $data[5];
$VSA = $data[6];
$DateTime = $data[7];
$PCatID = $data[8];
$PCat = $data[9];
$CCatID = $data[10];
$CCat = $data[11];
$GCatID = $data[12];
$GCat = $data[13];
$City = $data[14];
$State = $data[15];
$StateID = $data[16];
$Country = $data[17];
$CountryID = $data[18];
$Zip = $data[19];
$TYN = $data[20];
$IMAGEURL = $data[21];
$URLLink = $data[22];
$data[7] = strtotime($data[7]);
$data[7] = date("Y-m-d H:i:s",$data[7]);
if((($PCatID == '2') && (($CountryID == '217') or ($CountryID == '38'))) || (($GCatID == '16') or ($GCatID == '19') or ($GCatID == '30') or ($GCatID == '32')))
{
$imports[] = "('".md5($EventID.$PerformerID)."','".addslashes($data[0])."','".addslashes($data[1])."','".addslashes($data[2])."','".addslashes($data[3])."','".addslashes($data[4])."',
'".addslashes($data[5])."','".addslashes($data[6])."','".addslashes($data[7])."','".addslashes($data[8])."','".addslashes($data[9])."',
'".addslashes($data[10])."','".addslashes($data[11])."','".addslashes($data[12])."','".addslashes($data[13])."','".addslashes($data[14])."',
'".addslashes($data[15])."','".addslashes($data[16])."','".addslashes($data[17])."','".addslashes($data[18])."','".addslashes($data[19])."',
'".addslashes($data[20])."','".addslashes($data[21])."')";
}
}
$importarrays = array_chunk($imports, 100);
foreach($importarrays as $arr) {
if(!mysql_query("INSERT IGNORE INTO TNDB_CSV2
(id, EvID, Event, PerID, Per, VName,
VID, VSA, DateTime, PCatID, PCat,
CCatID, CCat, GCatID, GCat, City,
State, StateID, Country, CountryID, Zip,
TYN, IMAGEURL) VALUES ".implode(',', $arr)){
die("error: ".mysql_error());
}
}
fclose($handle);
}
尝试使用array_chunk中的数字太大，可能会导致查询过长(是的，my.cnf中有可配置的限制)，太小以及不必要的开销.
由于脚本的大小，您也可以放弃将$ data [x]分配给变量的做法，这是一种浪费，只需直接在查询e.c.t中使用$ data [x]. (不会带来很大的改善，但是根据您的导入大小，可能会节省一些).
接下来的事情是使用低优先级的插入/更新，请查看此内容以获取更多有关入门的信息: Any help is always greatly appreciated. Thanks in advance. try optimising your scripts first. First off, never run single queries when importing unless you have no other choice, the network overhead can be a killer. Try something like (obviously untested and coded in the SO textbox, check brackets match e.c.t.): Play around with the number in array_chunk, too big and it may cause problems like the query being too long (yes there is a configurable limit in my.cnf), too small and its unneccassary overhead. You could also drop the use of assign the $data[x] to variables as its a waste given how small the script is, just use the $data[x] directly in your query e.c.t. (wont give a massive improvement, but depending on your import size it could save a little). Next thing would be to use low priority inserts/updates, check out this for more info on that to get you started: How to give priority to certain queries? after all of that, you could think of mysql config optimisation's, but that's one for google to explain really as the best settings are different for everyone and their unique situations Edit: Another thing i've done before is if you have a lot of keys set up that aren't required for the import, you can drop those keys temporarily and add them back when the script is done. This can yield good time improvements too, but as your working on a live database there are pitfalls to work around if you go down that route. 这篇关于将大型CSV文件导入MySQL的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！$url = 'http://www.example.com/directory/file.csv';
if (($handle = fopen($url, "r")) !== FALSE)
{
fgetcsv($handle, 1000, ",");
$imports = array();
while (($data = fgetcsv($handle, 1000, ",")) !== FALSE)
{
$EvID = $data[0];
$Ev = $data[1];
$PerID = $data[2];
$Per = $data[3];
$VName = $data[4];
$VID = $data[5];
$VSA = $data[6];
$DateTime = $data[7];
$PCatID = $data[8];
$PCat = $data[9];
$CCatID = $data[10];
$CCat = $data[11];
$GCatID = $data[12];
$GCat = $data[13];
$City = $data[14];
$State = $data[15];
$StateID = $data[16];
$Country = $data[17];
$CountryID = $data[18];
$Zip = $data[19];
$TYN = $data[20];
$IMAGEURL = $data[21];
$URLLink = $data[22];
$data[7] = strtotime($data[7]);
$data[7] = date("Y-m-d H:i:s",$data[7]);
if((($PCatID == '2') && (($CountryID == '217') or ($CountryID == '38'))) || (($GCatID == '16') or ($GCatID == '19') or ($GCatID == '30') or ($GCatID == '32')))
{
$imports[] = "('".md5($EventID.$PerformerID)."','".addslashes($data[0])."','".addslashes($data[1])."','".addslashes($data[2])."','".addslashes($data[3])."','".addslashes($data[4])."',
'".addslashes($data[5])."','".addslashes($data[6])."','".addslashes($data[7])."','".addslashes($data[8])."','".addslashes($data[9])."',
'".addslashes($data[10])."','".addslashes($data[11])."','".addslashes($data[12])."','".addslashes($data[13])."','".addslashes($data[14])."',
'".addslashes($data[15])."','".addslashes($data[16])."','".addslashes($data[17])."','".addslashes($data[18])."','".addslashes($data[19])."',
'".addslashes($data[20])."','".addslashes($data[21])."')";
}
}
$importarrays = array_chunk($imports, 100);
foreach($importarrays as $arr) {
if(!mysql_query("INSERT IGNORE INTO TNDB_CSV2
(id, EvID, Event, PerID, Per, VName,
VID, VSA, DateTime, PCatID, PCat,
CCatID, CCat, GCatID, GCat, City,
State, StateID, Country, CountryID, Zip,
TYN, IMAGEURL) VALUES ".implode(',', $arr)){
die("error: ".mysql_error());
}
}
fclose($handle);
}
