Image
EAN-139780788831058   EAN-13 barcode 9780788831058
Product NameAtlantis - The Lost Empire (Walt Disney Pictures Presents) [VHS]
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B00005RDVV
SKUMON0000012908
Price New2.79 US Dollars    (curriencies)
Price Used0.01 US Dollars    (curriencies)
BindingVHS Tape
Published07/03/2016
FeaturesAtlantis - The Lost Empire [VHS] (2001), Walt Disney Pictures
Long DescriptionFrom the creative team who brought you THE LION KING and BEAUTY AND THE BEAST comes an exciting quest of adventure and discovery. Join the expedition and search below the sea for one of the greatest mysteries of all time ... ATLANTIS: THE LOST EMPIRE. The world's most highly qualified crew of archaeologists and explorers are led by historian Milo Thatch as they board the incredible 1,000-foot submarine Ulysses and head deep into the mysteries of the sea. The underwater expedition takes an unexpected turn when the team's mission must switch from exploring Atlantis to protecting it. Filled with stunning visual effects, this captivating story is loaded with laughs and messages of friendship and teamwork. Dive into ATLANTIS: THE LOST EMPIRE -- it's an adventure your family will enjoy taking over and over again.
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Created07-20-2013 2:25:40am
Modified05-01-2020 1:41:59am
MD593594a839b01b71ef0cea01d32ecc504
SHA25696faf6145d9368b41072a6f39b273fd82291f9a6b3ae00e75c1690978a09cf0a
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Query Time0.0162930

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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