Image
EAN-130601641227445   EAN-13 barcode 0601641227445
UPC-A601641227445   UPC-A barcode 601641227445
Product NameGuns & Talks
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B00006L93J
Price Used5.99 US Dollars    (curriencies)
IMDbIMDb Link
Run Time120 minutes
CastBin Won, Ha-kyun Shin, Hyeon-jun Shin, Jae-yeong Jeong, Jin-yeong Jeong
GenreMystery & Thrillers
Run Time120 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length8 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDVD
FormatColor, Dolby, Widescreen, NTSC
Run Time120 minutes
Long DescriptionIn the heart of Seoul, Korea, a band of 4 killers-for-hire is slowly making a name for themselves in the business. Two brothers, Sang-yun (Shin Hyoon-Joon) and Ha-yun (Bin Won), and their two friends, Jae Young (Jeong Jae-yeong) and Jung-woo (Shin Ha-gyoon), have attracted the attention of a couple of pesky detectives, Sergeant Kim (Jung Gyu-soo) and Inspector Cho (Jeong Jin-yeong). The assassins style kill the victims the way their clients want them to be killed, no questions asked. For this group to succeed, they need the help of each other and an uncle who designs super cool gadgets in the privacy of his own home. However, the foursome will need more than manpower and an uncle to carry out a new mission they just accepted. Along with an intelligent detective hot on their trail, the killers must accomplish "the perfect crime" or face the consequences. Will their mischievous ways be too much of a burden or will they pull out the crime of the century?
Similar Items0876964003575: Merantau
Created07-01-2006
Modified11-08-2018 12:27:37pm
MD503cc74cda188e69cbc62ed1bb59318e4
SHA256705077a8f50ff9b599f719f2e5c6ffe565fecf3a18341aa578f8c4176ed01c16
Search Googleby EAN or by Title
Query Time0.0072961

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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