Image
EAN-13	0821575548755
UPC-A	821575548755
Product Name	Down in the Valley
Language	English
Category	Electronics / Photography: A/V Media: Movie / TV
Amazon.com	Buy on Amazon ~ B000GDH9NM
Model	TF-54875
Price New	5.78 US Dollars    (curriencies)
Price Used	1.25 US Dollars    (curriencies)
Rating	R - Restricted
IMDb
Run Time	114 minutes
Cast	Bruce Dern, David Morse, Edward Norton, Evan Rachel Wood, Rory Culkin
Run Time	114 minutes
Width	5.5 inches    (convert)
Height	0.5 inches    (convert)
Length	7.5 inches    (convert)
Weight	22 hundredths pounds    (convert)
Binding	DVD
Format	AC-3, Color, Dolby, NTSC, Subtitled, Widescreen
Published	09/01/2006
Run Time	114 minutes
Features	DVD, AC-3, Color, Dolby, Spanish (Subtitled), English (Original Language), English (Unknown), 1, 114
Long Description	Set in the present-day San Fernando Valley, the project revolves around a delusional man who believes he's a cowboy and the relationship that he starts with a rebellious young woman. Well received indie feature stars Edward Norton, Evan Rachel Wood, David Morse, Bruce Dern, and Rory Culkin.
Similar Items	0031398279402: Hostiles 0860066001508: Allure 0883929563685: Westworld The Complete First Season 0821575547154: King 0031398201458: 10th & Wolf 9781404912069: Pretty Persuasion 0043396128781: Pretty Persuasion 0024543106586: Thirteen 0786936218497: 25th Hour 9780788824142: Keeping The Faith 0717951010582: Keeping The Faith 8711875967375: 25Th Hour
Created	05-22-2010
Modified	04-30-2020 7:01:13am
MD5	8d7e47a117e92d68416d77ea9e0e1b45
SHA256	08e0fbebe48ea2b6af5838caf27864b2984beb762655c9478fa3ea3fa3ae8d0e
Search Google	by EAN or by Title
Query Time	0.0250702

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.