Image
EAN-139786302413557   EAN-13 barcode 9786302413557
Product NameElvis Presley - Jailhouse Rock COLORIZED VERSION [VHS]
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ 6302413559
SKU80,6302413559,12.88,6302413559,02
Price New24.88 US Dollars    (curriencies)
Price Used17.86 US Dollars    (curriencies)
CastElvis Presley, Judy Tyler, Mickey Shaughnessy, Vaughn Taylor, Jennifer Holden
BindingVHS Tape
FormatColor, NTSC
Run Time96 minutes
Long DescriptionElvis Presley's third and best film is this musical romp released in 1957, just as the Big "E" was reaching the peak of his hip-swiveling pre-army success. Filmed in ultra-cool black and white, the movie stars Elvis as a good ol' boy who saves a woman from an assault but kills her attacker, so he's convicted of manslaughter and sent to jail. While doing time he takes up the guitar and becomes a singing sensation, ready for the big time when he's finally released. He becomes a big star but his inflated ego gets him into trouble with his former cellmate and his new girlfriend. Short on plot but heavy on rock & roll, this EP classic features such hit songs as "Treat Me Nice," "Baby, I Don't Care," "Don't Leave Me Now," and, of course, the classic title song, performed in an elaborate jailhouse number that Elvis choreographed himself. This is Elvis in all his big-screen glory, and the movie's upbeat ending made it a huge success during its original release. --Jeff Shannon
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Created11-28-2013 9:51:33am
Modified10-09-2017 11:26:14pm
MD589af43cc76c90240064ab1824ad0e917
SHA256671d0907b4f094c2bc145d9993eae02e59129436b38694a6716732fffa0a6d17
Search Googleby EAN or by Title
Query Time0.0182550

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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