Image
EAN-137920973803664   EAN-13 barcode 7920973803664
Product NameRa.One
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B0063V696O
Price New9.74 US Dollars    (curriencies)
Price Used9.00 US Dollars    (curriencies)
CastShahrukh Khan, Kareena Kapoor, Arjun Rampal, Armaan Verma, Shahana Goswami
BindingDvd
FormatNTSC
Run Time156 minutes
Long DescriptionRa One is a sci-fi movie based on Gaming, Bad Guys and Super Heroes. In the movie Shahrukh Khan plays the role of a father who is trying hard to 'fit-in' in his Son's badass world- A son trying hard to 'dude-up' his dad from 'aiiiyyyo' to 'YO!' And a mother lost in translation between her husband's 'ingeva' and her son's 'Inn'it!' While Shekhar was trying every trick in the book to woo his son, get 'dude-ified' and 'up his coolness quotient' his son had given up on him.. Just when the father-son duo hit a deadlock- Shekhar strikes gold when he designs one hell of a game.. Finally it all starts falling in place...as the family comes together....only to find themselves in the middle of a crash, not just a hard drive crash but a crash that would drive them to a disaster and make their lives go KABOOM!!! All hell breaks loose when - the game that was meant to be played with starts playing them Ra.one- The next level.
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Created11-20-2012 11:03:51pm
Modified04-28-2019 3:51:30am
MD585c2cec105b4d2ec0299f7b40c0b3cba
SHA256f2f98e368cffcc42ca964641e7831cfb2370b9827d72b58480ec7bf8766cb92b
Search Googleby EAN or by Title
Query Time0.0170059

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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