Image
EAN-130794043123467   EAN-13 barcode 0794043123467
UPC-A794043123467   UPC-A barcode 794043123467
Product NameElf
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Short DescriptionWeight:0.2 pounds
Web Link
Amazon.comA Buy on Amazon ~ B001E5CH0G
SKUDSHI42694
Price New8.61 US Dollars    (curriencies)
Price Used6.97 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
TrailerWatch The Trailer
Run Time97 minutes
CastWill Ferrell, James Caan, Bob Newhart, Edward Asner
DirectorJon Favreau
GenreCOMEDY,FAMILY,FANTASY
Release Year2003
Long DescriptionBuddy was a baby in an orphanage who stowed away in Santa's sack and ended up at the North Pole. Later, as an adult human who happened to be raised by elves, Santa allows him to go to New York City to find his birth father, Walter Hobbs. Hobbs, on Santa's naughty list for being a heartless jerk, had no idea that Buddy was even born. Buddy, meanwhile, experiences the delights of New York City (and human culture) as only an elf can. When Walter's relationship with Buddy interferes with his job, he is forced to reevaluate his priorities.
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Created05-22-2010
Modified06-05-2019 4:39:49pm
MD57705f8a640c2eac0563403d744ea8179
SHA256f4183631ffd01c2d901e813ef96d1d92c7f8bb1afde0f7cf86836d988b49307d
Search Googleby EAN or by Title
Query Time0.0022950

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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