Image
EAN-130012569398078   EAN-13 barcode 0012569398078
UPC-A012569398078   UPC-A barcode 012569398078
Product NameCheyenne Autumn
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B000G6N0HI
SKU012569398078
Model2210116
Price New12.59 US Dollars    (curriencies)
Price Used6.78 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
TrailerWatch The Trailer
Run Time154 minutes
Aspect Ratio2.20:1
CastRichard Widmark, Carroll Baker, Karl Malden, Sal Mineo
DirectorJohn Ford
GenreDRAMA,HISTORY,WESTERN
Run Time156 minutes
Width5.75 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight20 hundredths pounds    (convert)
AuthorMarc Sandoz
BindingDvd
Release Year1964
FormatMultiple Formats, AC-3, Closed-captioned, Color, Dolby, NTSC, Original recording remastered, Restored, Subtitled, Widescreen
Published03/13/2007
Run Time156 minutes
FeaturesShrink-wrapped
Long DescriptionWhen the government agency fails to deliver even the meager supplies due by treaty to the proud Cheyenne tribe in their barren desert reserve, the starving Indians have taken more abuse than it's worth and break it too by embarking on a 1,500 miles journey back to their ancestral hunting grounds. US Cavalry Capt. Thomas Archer is charged with their retrieval, but during the hunt grows to respect their noble courage, and decides to help them.
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Created05-22-2010
Modified06-02-2019 12:13:34am
MD5901d3ff9bbf34bf9b8ca1a8b421e6798
SHA2569608fd7542f2ff5925e14b9d4ca86b21c82b868825bc7335c312fc81e46a0400
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Query Time0.0222919

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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