Image
EAN-130883904330264   EAN-13 barcode 0883904330264
UPC-A883904330264   UPC-A barcode 883904330264
Product NameYear Of The Comet, The
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B01EH9X7GI
Price New14.99 US Dollars    (curriencies)
Price Used15.07 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
Run Time90 minutes
CastAndrew Robertson, Art Malik, Arturo Venegas, Chapman Roberts, David Bamber
Run Time90 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight22 hundredths pounds    (convert)
BindingDvd
FormatNTSC
Run Time90 minutes
Long DescriptionA "Romancing the Stone" style adventure. A wallflower like woman begins to bloom when her discovery of a priceless bottle of wine lands her in the middle of international intrigue. When sold by Amazon.com, this product is manufactured on demand using DVD-R recordable media. Amazon.com's standard return policy will apply.
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Created08-31-2018 1:19:00am
Modified04-30-2020 8:40:57am
MD5599e2a867eca16322dc557d5d46f8ba9
SHA2564dbbb10ff2bcbd6ed3478693462098e732f2952c74531ab8436345316f9f7a1b
Search Googleby EAN or by Title
Query Time0.0219550

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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