Image
EAN-135060101491300   EAN-13 barcode 5060101491300
Product NameThe Robert Donat Collection (The Count Of Monte Cristo / The 39 Steps / The Ghost Goes West)
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B0012Y0XUK
Price Used14.99 US Dollars    (curriencies)
CastRobert Donat, Madeleine Carroll, Jean Parker
BindingDvd
FormatDolby, NTSC
Run Time300 minutes
Long DescriptionTHE GHOST GOES WEST (1935) When an American family purchase an old Scottish castle from its struggling owner they get more than they bargained for when, shipping it stone-by-stone to Florida, they discover an unexpected resident... An eighteenth century ghost intent on avenging a family insult from a rival clan in Rene Clair's charming whimsical comedy(100 Mins). THE THIRTY NINE STEPS (1935) Richard Hannay (ROBERT DONAT) meets a mysterious woman who confesses herself as a British spy escaping foreign agents. When she turns up dead at his apartment, he finds himself at the center of a conspiracy and the most wanted man in the country. On the run, he must not only prove his innocence but break the spy ring in a race against time in Alfred Hitchcock's fast paced romantic thriller(87 Mins).
Created04-17-2012 8:25:31pm
Modified10-09-2017 6:59:08pm
MD5d45c9bb39ad5ed8d69f8d9e89a3482c3
SHA2561ecf753496a0ea750f6b0821b8c7a2e25922a8ee9a102e49e0a7c44c0a76dab1
Search Googleby EAN or by Title
Query Time0.0062909

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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