Image
EAN-13	5050582238297
Product Name	Last Action Hero
Language	English
Category	Electronics / Photography: A/V Media: Movie
Amazon.com	Buy on Amazon ~ B00004D080
Price New	9.00 US Dollars    (curriencies)
Price Used	1.79 US Dollars    (curriencies)
Rating	PG-13 - Parents Strongly Cautioned
IMDb
Trailer	Watch The Trailer
Run Time	130 minutes
Cast	Arnold Schwarzenegger, F. Murray Abraham, Art Carney, Charles Dance
Director	John McTiernan
Genre	ACTION,ADVENTURE,COMEDY
Run Time	130 minutes
Weight	40 hundredths pounds    (convert)
Binding	Dvd
Release Year	1993
Format	PAL
Run Time	130 minutes
Long Description	Young Danny Madigan is a big fan of Jack Slater, a larger-than-life action hero played by Arnold Schwarzenegger. When his best friend, Nick the projectionist, gives him a magic ticket to the new Jack Slater film, Danny is transported into Slater's world, where the good guys always win. One of Slater's enemies, Benedict the hitman, gets hold of the ticket and ends up in Danny's world, where he realises that if he can kill Schwarzenegger, Slater will be no more. Slater and Danny must travel back and stop him.
Similar Items	9786305767862: End of Days 9780783226927: Twins 9780783225500: Kindergarten Cop 0883929084760: Eraser 0245430297792: Commando 0043396050747: 6th Day 0025192026621: Twins 0025192014529: Kindergarten Cop 0024543029779: Commando 0024543010869: Predator 0012236130437: Red Heat 0002519331262: Arnold Schwarzenegger Comedy Favorites Collection
Created	12-07-2011 6:40:19am
Modified	04-16-2019 11:59:29pm
MD5	a3408db22ae27bef7409bd1cc5bd5b07
SHA256	b02452887017fcf52758e460441ff4213d5c2727ca099c9fa761f835b76c438c
Search Google	by EAN or by Title
Query Time	0.0209758

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
(
    EAN13             varchar(13),
    UPCA              varchar(12),
    UPCE              varchar(8),
    SKU               varchar(200),
    PriceNew          numeric(15,2),
    PriceUsed         numeric(15,2),
    PriceDate         date,
    company           varchar(13),
    product           varchar(100),
    description       varchar(100),
    category          int,
    url               varchar(500),
    created           datetime,
    modified          datetime
);


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
    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    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.