Image
EAN-130888574489021   EAN-13 barcode 0888574489021
UPC-A888574489021   UPC-A barcode 888574489021
Product NameBallad of Cable Hogue
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B071P1MFPN
Price New12.94 US Dollars    (curriencies)
Price Used16.33 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link
TrailerWatch The Trailer
Run Time121 minutes
CastJason Robards, Stella Stevens, David Warner, Strother Martin
DirectorSam Peckinpah
GenreCOMEDY,DRAMA,ROMANCE
Run Time121 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight22 hundredths pounds    (convert)
BindingBlu-ray
Release Year1970
FormatBlu-ray
Run Time121 minutes
Long DescriptionDouble-crossed and left without water in the desert, Cable Hogue is saved when he finds a spring. It is in just the right spot for a much needed rest stop on the local stagecoach line, and Hogue uses this to his advantage. He builds a house and makes money off the stagecoach passengers. Hildy, a sex worker from the nearest town, moves in with him. Hogue has everything going his way until the advent of the automobile ends the era of the stagecoach.
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Created04-24-2018 1:02:42am
Modified06-03-2019 9:33:31pm
MD52d111171c4bd6ae9c967bdbe1f2cf036
SHA2569226e6137757f83f2f6c2bf868a52ca80f748fd88c925efb3e45c389f81d9281
Search Googleby EAN or by Title
Query Time0.0224309

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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