Image
EAN-13	0883929612963
UPC-A	883929612963
Product Name	Little Shop of Horrors: The Director's Cut + Theatrical (BD) [Blu-ray]
Category	Electronics / Photography: A/V Media: Movie / TV
Amazon.com	Buy on Amazon ~ B074BJJH2H
Price New	13.79 US Dollars    (curriencies)
Price Used	15.80 US Dollars    (curriencies)
Rating	PG-13 - Parents Strongly Cautioned
IMDb
Trailer	Watch The Trailer
Run Time	94 minutes
Cast	Levi Stubbs, Rick Moranis, Ellen Greene, Vincent Gardenia
Director	Frank Oz
Genre	Comedies
Run Time	94 minutes
Width	7.5 inches    (convert)
Height	5.4 inches    (convert)
Length	0.7 inches    (convert)
Weight	37 hundredths pounds    (convert)
Binding	Blu-ray
Release Year	1986
Format	NTSC
Run Time	94 minutes
Features	Shrink-wrapped
Long Description	Little Shop of Horrors: The Director's Cut + Theatrical (BD) A skid-row florist's "mean green mother" of a monster plant is the center of "the looniest, nuttiest, most outrageous movie musical comedy in years" (Jeffrey Lyons, Sneak Preview). Rick Moranis, Steve Martin, Ellen Green, Billy Murray and other comedy greats star.
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Created	04-14-2018 2:11:43am
Modified	04-30-2020 8:42:08am
MD5	c35c7a02c21f96853bdc3dd17b55f671
SHA256	d49465809c266c82fcc2b578952de6f287f5dbd50e1cc6731180000ef86465f2
Search Google	by EAN or by Title
Query Time	0.0541632

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.