Image
EAN-139780767821513   EAN-13 barcode 9780767821513
Product NameHudson Hawk
CategoryElectronics / Photography: A/V Media: Movie
Short DescriptionWeight:0.25 pounds
Amazon.comA Buy on Amazon ~ 0767821513
SKU4290149
Price New5.98 US Dollars    (curriencies)
Price Used1.49 US Dollars    (curriencies)
RatingR - Restricted
IMDbIMDb Link     tt0102070
TrailerWatch The Trailer
Run Time100 minutes
Aspect Ratio1.85:1
CastAndie MacDowell, Danny Aiello, James Coburn, Richard Grant, Sandra Bernhard
DirectorMichael Lehmann
GenreAction & Adventure
Run Time100 minutes
Width5.38 inches    (convert)
Height0.6 inches    (convert)
Length7.5 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDvd
Release Year1991
FormatAnamorphic, Closed-captioned, Color, Dolby, Full Screen, NTSC, Subtitled, Widescreen
Published04/01/1999
Run Time100 minutes
Long DescriptionEddie Hawkins, called Hudson Hawk has just been released from ten years of prison and is planning to spend the rest of his life honestly. But then the crazy Mayflower couple blackmail him to steal some of the works of Leonardo da Vinci. If he refuses, they threaten to kill his friend Tommy.
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Created07-18-2013 2:07:18am
Modified04-27-2018 3:48:34am
MD50491b96b295b643c7487389f0c98d6bc
SHA25612b4e23e3d82bb41b18e9be954c643e0db7d98e1227f995fe7ff7d1be111e29e
Search Googleby EAN or by Title
Query Time0.0059772

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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