Image
EAN-130888574488048   EAN-13 barcode 0888574488048
UPC-A888574488048   UPC-A barcode 888574488048
Product NameRide the High Country
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B01LTIOQ3I
Price New16.44 US Dollars    (curriencies)
Price Used13.81 US Dollars    (curriencies)
Run Time94 minutes
CastEdgar Buchanan, Joel McCrea, Mariette Hartley, Randolph Scott, Ronald Starr
Run Time94 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight22 hundredths pounds    (convert)
BindingBlu-ray
FormatBlu-ray
Run Time94 minutes
Long DescriptionIn this brilliant, moving film directed by Sam Peckinpah (The Wild Bunch), cowboy icons Randolph Scott and Joel McCrea find roles to match their leathery Western personas, playing aging lawmen hired to guard a gold shipment. They don’t have much: a horse each, a couple of dollars. And they have everything: their independence. But the frontier is disappearing – and so is space wide open enough for independent men. With luck, the two will find space enough for this ride and one last payday. They will also find adventure, including the dramatic rescue of a mistreated bride (Mariette Hartley), gun-blazing shoot-outs and a life-changing betrayal. Both an exciting Western and a heart-lifting homage to the genre, Ride the High Country is a journey into film greatness.
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Created04-14-2018 2:33:45am
Modified05-31-2019 12:53:44pm
MD511b6b222d9508ca477ec9c489367926b
SHA25611db14939e87a109514c5bad8fcbf48c695e1a7dc2a96b4be4fb64b60f5389a4
Search Googleby EAN or by Title
Query Time0.0243831

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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