Image
EAN-130032429285553   EAN-13 barcode 0032429285553
UPC-A032429285553   UPC-A barcode 032429285553
Product NameKing Creole
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B074J39ZFQ
Price New4.17 US Dollars    (curriencies)
Price Used4.16 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
Run Time116 minutes
CastElvis Presley, Carolyn Jones, Walter Matthau, Dolores Hart
DirectorMichael Curtiz
GenreCRIME,DRAMA,MUSICAL
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight16 hundredths pounds    (convert)
BindingDvd
Release Year1958
FormatAC-3, Black & White, Color, Subtitled, Widescreen, NTSC
Published09/23/2018
FeaturesShrink-wrapped
Long DescriptionHaving flunked graduation for a second time and needing cash to support his crabby (and thus unemployed) father, Danny Fisher takes a job as a singer in the King Creole nightclub - about the only joint around not run by smarmy crook Maxie Fields who wants him for his own place. He gets on pretty well with Fields' floozy though, and all this plus his involvement with Fields' hoods and with innocent five-and-dime store assistant Nellie means Danny finds his world closing in on him all ways round.
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Created09-11-2018 2:52:25am
Modified06-05-2019 8:05:32pm
MD510186baeee3e187e46637c341e67f765
SHA256f0ff71d3a9281e628e4ac0fa660bded2fb84ec653dbe8c3001d80a7aeb75293e
Search Googleby EAN or by Title
Query Time0.0179682

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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