Image
EAN-130191329031513   EAN-13 barcode 0191329031513
UPC-A191329031513   UPC-A barcode 191329031513
Product NameE.T. The Extra-Terrestrial
CategoryElectronics / Photography: A/V Media: Movie / TV
Web Link
Amazon.comA Buy on Amazon ~ B073WZ513X
Price New14.99 US Dollars    (curriencies)
Price Used12.00 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
TrailerWatch The Trailer
Run Time230 minutes
Aspect Ratio1.85:1
CastDee Wallace, Drew Barrymore, Henry Thomas, Peter Coyote, Robert MacNaughton
DirectorSteven Spielberg
GenreFAMILY,SCI-FI
Run Time230 minutes
Width5.75 inches    (convert)
Height0.5 inches    (convert)
Length7.25 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingBlu-ray
Release Year1982
FormatNTSC, Subtitled, 4K
Run Time230 minutes
Long DescriptionRelive the adventure and magic in one of the most beloved motion pictures of all-time, E.T. The Extra-Terrestrial, from Academy Award-winning director Steven Spielberg. Captivating audiences of all ages, this timeless story follows the unforgettable journey of a lost alien and the 10-year-old boy he befriends. Join Elliot (Henry Thomas), Gertie (Drew Barrymore) and Michael (Robert MacNaughton) as they come together to help E.T. find his way back home, E.T. The Extra-Terrestrial is "one of the great American films" (Leonard Maltin) that forever belongs in the hearts and minds of audiences everywhere.
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Created09-21-2017 5:46:12am
Modified05-27-2019 12:11:30pm
MD52796e97ce1b44aa1f355dabbb0d71ed1
SHA25692f20823e4668a397b242e9fff7013571cb08d73ec0a74e7975119b48bd2be0b
Search Googleby EAN or by Title
Query Time0.0194130

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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