Image
EAN-130012236102533   EAN-13 barcode 0012236102533
UPC-A012236102533   UPC-A barcode 012236102533
Product NameHiding Out
LanguageEnglish
CategoryElectronics / Photography
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B001Q8MMD8
SKU4288726
Price New3.82 US Dollars    (curriencies)
Price Used6.98 US Dollars    (curriencies)
Weight120 hundredths pounds    (convert)
BindingDvd
Long DescriptionNo description available for this title. Item Type: DVD Movie Item Rating: PG13 Street Date: 04/14/09 Wide Screen: no Director Cut: no Special Edition: no Language: ENGLISH Foreign Film: no Subtitles: no Dubbed: no Full Frame: yes Re-Release: no Packaging: Sleeve
Similar Items9780790795751: Over the Edge
9780783227870: Streets of Fire
9780767892865: Toy Soldiers
9780767868242: White Water Summer
9332412010348: Cadence
5050582525113: Amar En Tiempos Revueltos - 1ยช Temporada - Parte 2 (2005) (3 Dvds) (Import Movie) (European Format - Zone B-2)
0683904533005: 80s Teen Dramas - 6 Movie Set - Legend of Billie Jean - Blame It On the Night - Fresh Horses - Fast Forward - Little Nikita - Immediate Family
0683904523020: 4 Drive-In Features TOMBOY , MY CHAUFFEUR , WEEKEND PASS and MALIBU BEACH - Starring Phil Hartman, Deborah Foreman, Betsy Russell, Howard Hessmen
0027616081735: Totally Awesome 80s Double Feature Teen Witch / The Heavenly Kid
0024543101499: Pick Up Artist
0013131144796: 18 Again!
0012236192725: Rock N'roll High/s. Beach Acad
Created04-17-2012 7:45:28pm
Modified04-28-2020 2:38:03pm
MD5794b65dd76c911c04e4596f196693ea8
SHA256a4a56587f32e107ae52eb9fe1c2c9de0c2b5148684ac0d9faf70a1fa3cb55a82
Search Googleby EAN or by Title
Query Time0.0226800

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.

Close

Search

Close

Share

Close

Dialog