Image
EAN-135035822720930   EAN-13 barcode 5035822720930
Product NameLabyrinth
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B00004D0EO
Price New39.04 US Dollars    (curriencies)
Price Used2.68 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
TrailerWatch The Trailer
Run Time101 minutes
Aspect Ratio2.35:1
CastDavid Bowie, Jennifer Connelly, Toby Froud, Shelley Thompson
DirectorJim Henson
GenreADVENTURE,FAMILY,FANTASY
BindingDvd
Release Year1986
FormatNTSC
Run Time101 minutes
Long DescriptionThe teenager Sarah is forced by her father and her stepmother to babysit her baby brother Toby while they are outside home. Toby does not stop crying and Sarah wishes that her brother be taken by the Goblin King. Out of the blue, Toby stops crying and when Sarah looks for him in the cradle, she learns that he wish was granted and the Goblin King Jarethhas taken him to his castle in the Goblin City in the middle of a labyrinth. Sarah repents an asks Jareth to give Toby back; but the Goblin King tells that she has to rescue her brother before midnight, otherwise Toby will be turned into a goblin. Soon Sarah teams up with the coward goblin Hoggle, the beast Ludo and the knight Didymus and his dog Ambrosius in her journey. Will they rescue Toby in time?
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Created01-19-2012 1:13:50am
Modified05-21-2019 3:23:30pm
MD54a433a323c92fad761b69bb573f98146
SHA2560d78a5271c23403f904b132bc493ce1ea9913e1ba05cc6654e7f77a76a798de3
Search Googleby EAN or by Title
Query Time0.0017359

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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