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EAN-130001223622697   EAN-13 barcode 0001223622697
UPC-A001223622697   UPC-A barcode 001223622697
Product NameNoble House
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B0012E2F60
SKU3361314
Model3708427
Price New10.25 US Dollars    (curriencies)
Price Used4.34 US Dollars    (curriencies)
IMDbIMDb Link
Run Time355 minutes
Aspect Ratio1.66:1
CastPierce Brosnan, Deborah Raffin, Ben Masters, John Rhys-Davies
DirectorN/A
GenreACTION,ADVENTURE,DRAMA
Run Time355 minutes
Width5.5 inches    (convert)
Height0.53 inches    (convert)
Length7.5 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingDvd
Release Year1988
FormatClosed-captioned, Color, Dolby, Widescreen
Published01/27/2009
Run Time355 minutes
FeaturesShrink-wrapped
Long DescriptionIan Struan Dunross is chairman of Struan & Co, the oldest and largest of the British-East Asia trading companies. To the Chinese, that also makes him "Tai-Pan" ("supreme leader") of the "Noble House". Unfortunately, with his power, he inherits ancient promises, dark secrets and deep financial problems on a small island full of people who want to see Struan's fall so they can become the Noble House. Dunross' worst enemy is the vicious Quillan Gornt, a lesser tai-pan, and he's doing everything in his power to bring the Noble House to ruin. Drawn into the fight between Gornt and Dunross is an upstart American billionaire who tries to gain a foothold on the Hong Kong market and has made a deal to steal something that will give him power, even over the Noble House. Unfortunately, that something has fallen into the hands of a powerful Chinese overlord. "Everybody was watching [and cheating on] everybody." Who will succeed in the end?
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Created11-24-2012 5:43:10pm
Modified06-01-2019 7:49:34pm
MD5e50dcb35aa66f0724a8060fc19bab1bf
SHA2567bed20df8a61416c2044e54d5ccc6513f8aad30a12d7240fb8a36e28bbfdbdea
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Query Time0.0328488

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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