Image
EAN-130887090037204   EAN-13 barcode 0887090037204
UPC-A887090037204   UPC-A barcode 887090037204
Product NameHigh Noon 60th Anniversary Edition
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Short DescriptionWeight:0.21 pounds
Amazon.comA Buy on Amazon ~ B007Y1NNIE
SKUA887090037204
Price New19.58 US Dollars    (curriencies)
Price Used21.71 US Dollars    (curriencies)
Long DescriptionThis groundbreaking western was voted at the 33rd greatest film of all time by the AFIr (100 Years. 100 Movies). Gary Cooper won the Oscarr for Best Actor in this classic tale of a lawman who stands alone to defend a town of cowardly citizen against a gang of killers seeking revenge. In one of the greatest showdowns in cinema history, Cooper's Sheriff Will Kane stands to lose not only the town, but also his bride, Grace Kelly. The stellar cast includes Lloyd Bridges, Thomas Mitchell, Katy Jurado, Otto Kruger, Lon Chaney, Henry Morgan, Jack Elam and Lee Van Cleef. High Noon won a total of four Academy Awardsr including Best Editing, Score (Dimitri Tiomkin) and Song, "Do Not Forsake Me, Oh My Darling", written by Tiomkin and Ned Washington and sung by Tex Ritter. High Noon also received Oscarr nominations for Best Picture (Stanley Kramer), Best Director (Fred Zinnemann) and Best Screenplay (Carl Foreman).
Similar Items3269660009243: My Darling Clementine (1946) (Region Free Blu Ray)
0012569796577: Captains of the Clouds
Created05-18-2013 12:19:33am
Modified05-16-2019 7:19:33pm
MD5438d2b86799ab2236397d19688988415
SHA256b47235f0769f8cf2aacd6c8ace6a12d75ce5a73f46143d6ea22aceaa8c4705fd
Search Googleby EAN or by Title
Query Time0.0015898

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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