Image
EAN-130012569755703   EAN-13 barcode 0012569755703
UPC-A012569755703   UPC-A barcode 012569755703
Product NameFull House
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B000GJ0J4W
IMDbIMDb Link
TrailerWatch The Trailer
Run Time22 minutes
CastJohn Stamos, Dave Coulier, Candace Cameron Bure, Jodie Sweetin
DirectorN/A
GenreCOMEDY,DRAMA,FAMILY
Run Time593 minutes
Width5.25 inches    (convert)
Height2.25 inches    (convert)
Length7.75 inches    (convert)
Weight80 hundredths pounds    (convert)
BindingDvd
Release Year19871995
FormatClosed-captioned, Color, NTSC
Run Time593 minutes
Long DescriptionThis is a story about a sports broadcaster later turned morning talk show host Danny Tanner and his three little girls, D.J. (Donna Jo), Stephanie and Michelle Tanner. Before the show begins, Danny Tanner's wife is killed by a drunk driver. So he needs help raising his three little girls. He asks his rock musician brother-in-law, Jesse Katsopolis, and his comedian best friend, Joey Gladstone, to move in with them. As the show goes on, Jesse gets married to Rebecca Donaldson, Danny's co host of the talk show. The two have kids of their own, who are twins, Alexander and Nicholas Katsopolis. However, the show is about what happens as the story is going on.
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Created04-17-2012 7:38:13pm
Modified02-07-2019 4:27:33am
MD5bee317fa6c64e010f791935302fc5334
SHA25604a95c4058d2bb805b4ecf8937ca2c92f9926104d552bc241f1e13171ea0f118
Search Googleby EAN or by Title
Query Time0.0142570

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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