|Product Name||American Pie Ultimate Edition|
|Category||Electronics / Photography: A/V Media: Movie / TV|
|Amazon.com||Buy on Amazon ~ B000CCHCFC|
|Price Used||2.98 US Dollars (curriencies)|
|Rating||PG-13 - Parents Strongly Cautioned|
|Trailer||Watch The Trailer|
|Run Time||95 minutes|
|Cast||Jason Biggs, Chris Klein, Thomas Ian Nicholas, Alyson Hannigan|
|Director||Paul Weitz, Chris Weitz|
|Long Description||Jim, Oz, Finch and Kevin are four friends who make a pact that before they graduate they will all lose their virginity. The hard job now is how to reach that goal by prom night. Whilst Oz begins singing to grab attention and Kevin tries to persuade his girlfriend, Finch tries any easy route of spreading rumors and Jim fails miserably. Whether it is being caught on top of a pie or on the Internet, Jim always ends up with his trusty sex advice from his father. Will they achieve their goal of getting laid by prom night? Or will they learn something much different?|
|Search Google||by EAN or by Title|
Article of interest
Here we will demonstrate the most basic example of importing the CSV data files that we produce on this site into your MySQL database.
For information about various databases you can use and how to import CSV files into them, please view the overview article "Importing CSV data into your database".
For this example, we are going to import the product data CSV file out of the sample_ean_data.zip but this same process will work on the full data download file. We will also be executing the commands in the MySQL Workbench but you can also use the command line tool with the same commands if you like.
First, start by creating a blank table. Use the table layout described in the read_me file for the most up-to-date table layout. It is suggested that you not use any indexing at this point. You can add indexes later. It is most likely that you will have your own tables where you want to store your data so importing the CSV files can be done into temporary tables and then later copied over to your tables. Leaving off the indexes and constraints on these import tables reduces the risk of import errors. Here is an example:
create table ean_product
Next we perform the import using the LOAD DATA INFILE command. The path to the file depends on where you saved the data and which operating system you are on. For Windows users you might find your file on the C: drive and Linux users may find your date in your home (~) folder. This example shows a Linux import. Only the path would be different between the operating systems.
LOAD DATA LOCAL
INTO TABLE ean_product
FIELDS TERMINATED BY ',' ENCLOSED BY '"' ESCAPED BY '\\'
LINES TERMINATED BY '\r\n'
IGNORE 1 LINES;
Finally, lets look at the data that we just imported.
SELECT * FROM EAN_PRODUCT;
You may have seen some warnings after the import command. If you are concerned about these warnings, examine the data. It could be that some data has grown beyond the size specified in the read_me file. If you are worried, make the fields larger and try the process again after deleting all of the data out of the table.