Image
EAN-130828970109697   EAN-13 barcode 0828970109697
UPC-A828970109697   UPC-A barcode 828970109697
Product NameNo Entry
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B000Y1XRX2
Price New12.50 US Dollars    (curriencies)
Price Used3.29 US Dollars    (curriencies)
IMDbIMDb Link
Run Time158 minutes
CastAnil Kapoor, Salman Khan, Fardeen Khan, Bipasha Basu
DirectorAnees Bazmee
GenreCOMEDY,DRAMA,MUSICAL
Run Time161 minutes
Width5.75 inches    (convert)
Height0.53 inches    (convert)
Length7.75 inches    (convert)
Weight45 hundredths pounds    (convert)
BindingDvd
Release Year2005
FormatColor, Import, NTSC
Run Time161 minutes
Long DescriptionKishen is a newspaper baron married to Kaajal, a housewife who suspects her husband of having numerous non-existent affairs. Pooja is the believing wife of ever-philandering globe-trotting businessman Prem. Kishen and Prem are thick pals. Sanjana falls in love with Prem's loyal photographer Sunny and they get engaged. Kishen gets tired of his jealous wife and tries to have an affair with Bobby, a call girl. Due to circumstances, Bobby is introduced as the wife of Kishen during Sanjana's wedding, and as Sunny's wife to Kaajal. It becomes a bundle of confusions when all three couples meet.
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Created04-17-2012 8:13:31pm
Modified05-26-2018 10:26:30pm
MD5cb1470def1ec37175def5e1f624ad89a
SHA2568c207bc21b788b7f5b41d296613b89d83d1942ecaa2459a8c2846291a6c591a1
Search Googleby EAN or by Title
Query Time0.0223539

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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