Image
EAN-130011891801690   EAN-13 barcode 0011891801690
UPC-A011891801690   UPC-A barcode 011891801690
Product NamePit and the Pendulum/Tales of Terror/Masque of the Red Death/Madhouse
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B00D3K9Q22
Price New14.98 US Dollars    (curriencies)
Price Used5.99 US Dollars    (curriencies)
GenreHorror
Weight18 hundredths pounds    (convert)
BindingUnknown Binding
FormatColor
Published02/12/2019
Long Description4 Vincent Price Horror classics
Similar Items9786317570900: Suspiria
9780792857525: Tomb of Ligeia / An Evening of Edgar Allan Poe
9780792857495: Comedy of Terrors / The Raven
9780778616313: Terror
0883929091485: House of Wax
0883929061518: TCM Greatest Classic Films Collection Horror
0844503000545: House on Haunted Hill
0738329177928: Twice-Told Tales
0683904546562: Vincent Price Collection - 5 Frightening Features
0043396077799: Tingler
0027616889027: Tomb of Ligeia / An Evening of Edgar Allan Poe
0027616889010: Comedy of Terrors / The Raven
0025193093226: The Classic Sci-Fi Ultimate Collection (Tarantula / The Mole People / The Incredible Shrinking Man / The Monolith Monsters / Monster On The Campus)
0011301681560: Movies 4 You - Sci Fi Classics (The Man from Planet X / Beyond the Time Barrier / The Time Travelers / The Angry Red Planet)
Created01-25-2014 5:01:36am
Modified02-12-2019 9:18:27pm
MD5966ddd9b18fe1f2752b821f74787b4e6
SHA2562a5bab7727eeca68a24c2ad0331bbe0cf535837e3001a45e0e8e81ce0333dd0b
Search Googleby EAN or by Title
Query Time0.0283399

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