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EAN-130031398134312   EAN-13 barcode 0031398134312
UPC-A031398134312   UPC-A barcode 031398134312
Product NameKill Bill Volume 2
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B004SIP8QQ
ModelA030001
Price New2.90 US Dollars    (curriencies)
Price Used0.01 US Dollars    (curriencies)
Width5.25 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight2.4 ounces    (convert)
BindingDvd
Published09/30/2014
FeaturesACTION/ADVENTURE Run Time: 136 Release Date: 9/30/2014 R
Long DescriptionWith this thrilling, must-see movie event, writer and director Quentin Tarantino (PULP FICTION) completes the action-packed quest for revenge begun by The Bride (Uma Thurman) in KILL BILL VOL. 1! Having already crossed two names from her Death List, The Bride is back with a vengeance and taking aim at Budd (Michael Madsen) and Elle Driver (Daryl Hannah), the only survivors from the squad of assassins who betrayed her four years earlier. It's all leading up to the ultimate confrontation with Bill (David Carradine), The Bride's former master and the man who ordered her execution! As the acclaimed follow-up to the instant classic VOL. 1 -- you know all about the unlimited action and humor, but until you've seen KILL BILL VOL. 2, you only know half the story!
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0025192014277: Inglourious Basterds
0012236131472: Reservoir Dogs
Created04-17-2012 7:56:29pm
Modified04-28-2020 5:16:03pm
MD5605c340b90b70495bebb12d5a0e35ce6
SHA2568d850bfab071a22bd7777bfbbb09e35d5af58d77218331d2283c6ca80e1feac8
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Query Time0.0248840

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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