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EAN-130011301610157   EAN-13 barcode 0011301610157
UPC-A011301610157   UPC-A barcode 011301610157
Product NameTales of Wells Fargo
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B002C07AU4
Model61015
IMDbIMDb Link
Run Time60 minutes
CastArt Felix, Dale Robertson, Kit Carson
DirectorN/A
GenreWESTERN
Run Time1150 minutes
Width5.3 inches    (convert)
Height0.75 inches    (convert)
Length7.5 inches    (convert)
Weight65 hundredths pounds    (convert)
BindingDvd
Release Year1957
FormatBox set, Color, NTSC
Published07/14/2009
Run Time1,150 minutes
FeaturesShrink-wrapped
Long DescriptionAgent Jim Hardie shifts over its history from being mostly an Agent helping Wells Fargo cope with bad guys, to being the owner of a ranch near San Francisco, California, who still does some Agent work.
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Created04-17-2012 8:37:54pm
Modified06-02-2022 1:56:27am
MD528037d9fb8f3eb922008f4013aabd09b
SHA25675ebd1c30f33c783c41f47d5e475bc3f94f2ea22218ab65024d9c2ca26372379
Search Googleby EAN or by Title
Query Time0.0253870

An article of interest

Making use of the tools we offer

Importing our data into your MySQL database

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.