Image
EAN-130876964009621   EAN-13 barcode 0876964009621
UPC-A876964009621   UPC-A barcode 876964009621
Product NameHigh-Rise
CategoryElectronics / Photography: A/V Media: Movie / TV
Web Link
Amazon.comA Buy on Amazon ~ B01G3MJENW
Model35645000
Price New11.77 US Dollars    (curriencies)
Price Used9.59 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time119 minutes
CastTom Hiddleston , Jeremy Irons , Sienna Miller
DirectorBen Wheatley
GenreDRAMA
Run Time120 minutes
Width5.3 inches    (convert)
Height0.4 inches    (convert)
Length6.75 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingBlu-ray
Release Year2015
FormatDolby, Subtitled, Widescreen
Run Time120 minutes
Long DescriptionLife for the residents of a tower block begins to run out of control.
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0025192370342: Neon Demon
Created04-14-2018 2:02:36am
Modified06-02-2019 5:25:33am
MD55343ceed42325aa55c4cda2e98bb83b7
SHA25625c654f85bde2e9b2a0ec3a00ab51df05ec2759ac8ca5b2ee4f39cb2fb5c7f6e
Search Googleby EAN or by Title
Query Time0.0193169

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.

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