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EAN-134719861970839   EAN-13 barcode 4719861970839
Product NameCrying Freeman
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B0013M0Z8Q
Price New24.95 US Dollars    (curriencies)
Price Used5.74 US Dollars    (curriencies)
CastMark Dacasco, Julie Condra, Byron Man
BindingDvd
FormatNTSC
Run Time102 minutes
Long DescriptionHigh quality DVD picture. Crying Freeman An ordinary man is kidnapped and trained against his will to be the world's best assassin, Freeman. After each killing, he sheds a tear for his victim, and becomes known as Crying Freeman. When his latest assassination of a yakuza member is witnessed by Emu, the mysterious killer captures her heart. When she becomes a key witness to the murder for the police, as well as the yakuza member's father, Shimasaki, her movements are closely followed. At city hall, a masked killer assassinates Shimasaki in broad daylight. Emu recognizes him as Freeman, and knows that he will return for her life. But will Emu's love for a man she doesn't even know be enough to stop him? Special Features include; DTS- 5.1 Surround, Digitally Mastered, Subtitles in Chinese and English.
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0783722714928: Drive
0704400051081: Mushi-Shi The Movie
0687797612694: Instinct to Kill
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Created04-25-2013 12:17:00am
Modified02-20-2019 3:07:29pm
MD5728546829911983164419677483f22dc
SHA25695757318d497c02161181d3ff0acad2711243f0c858d001026068205232b532f
Search Googleby EAN or by Title
Query Time0.0239172

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.