Image
EAN-130031398268178   EAN-13 barcode 0031398268178
UPC-A031398268178   UPC-A barcode 031398268178
Product NameDinner
CategoryElectronics / Photography: A/V Media: Movie
Web Link
Amazon.comA Buy on Amazon ~ B072K3QH1K
Price New12.85 US Dollars    (curriencies)
Price Used4.35 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time120 minutes
CastChloë Sevigny, Laura Linney, Rebecca Hall, Richard Gere, Steve Coogan
DirectorOren Moverman
GenreAction/Adventure
Run Time120 minutes
Width5.25 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight15 hundredths pounds    (convert)
BindingDvd
Release Year2017
FormatAC-3, Color, Dolby, NTSC, Subtitled, Widescreen
Run Time120 minutes
FeaturesShrink-wrapped
Long DescriptionGolden Globe® winner Richard Gere, Laura Linney, and Steve Coogan star in this dark psychological thriller about how far parents will go to protect their children.
Similar Items0031398268642: Beatriz At Dinner
0031398267706: A Family Man
0031398266402: How To Be A Latin Lover
0031398266198: Exception
Created10-08-2017 10:16:45pm
Modified06-05-2019 4:40:19pm
MD53baa423ca28904618ffbc7b7344ee784
SHA25697155ffeb2999b870c279e42799137646b0ff6f09be6cb1ef9c435cbecc1efda
Search Googleby EAN or by Title
Query Time0.0124760

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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