Image
EAN-130012569690721   EAN-13 barcode 0012569690721
UPC-A012569690721   UPC-A barcode 012569690721
Product NameRide The High Country
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B000BT96DW
Model2210544
Price New29.95 US Dollars    (curriencies)
Price Used2.50 US Dollars    (curriencies)
IMDbIMDb Link
Run Time94 minutes
Aspect Ratio1.78:1
CastRandolph Scott, Joel McCrea, Mariette Hartley, Ron Starr
DirectorSam Peckinpah
GenreWESTERN
Run Time94 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingDvd
Release Year1962
FormatMultiple Formats, Closed-captioned, Color, NTSC, Subtitled, Widescreen
Run Time94 minutes
FeaturesFactory sealed DVD
Long DescriptionAging ex-marshal Steve Judd is hired by a bank to transport a gold shipment through dangerous territory. He hires an old partner, Gil Westrum, and his young protege Heck to assist him. Steve doesn't know, however, that Gil and Heck plan to steal the gold, with or without Steve's help. On the trail, the three get involved in a young woman's desire to escape first from her father, then from her fiance and his dangerously psychotic brothers.
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Created05-22-2010
Modified05-31-2019 12:53:47pm
MD55f5b40be07584f969a13c625a1c0a608
SHA25641ad81af868551e27d224b0052dc4fb56576bd36e09bc229c00ed315194725a3
Search Googleby EAN or by Title
Query Time0.0292890

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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