Image
EAN-130883929281893   EAN-13 barcode 0883929281893
UPC-A883929281893   UPC-A barcode 883929281893
Product NameWorld's Greatest Super Friends Season 4
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B00CREAO9O
Model28131376
Price New7.43 US Dollars    (curriencies)
Price Used6.48 US Dollars    (curriencies)
Run Time179 minutes
CastCasey Kasem, Danny Dark, Norman Alden, Olan Soule, Shannon Farnon
GenreChildren's
Run Time179 minutes
Width5.25 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight15 hundredths pounds    (convert)
BindingDvd
FormatMultiple Formats, Color, Full Screen, NTSC, Subtitled
Published11/12/2013
Run Time179 minutes
FeaturesShrink-wrapped
Long Description

World's Greatest Super Friends, The (Season 4)(DVD)

Similar Items9780790775739: Challenge of the Super Friends - United They Stand
0883929625109: All New Super Friends Hour Season 1 Vol. 2
0883929623464: Super Friends: The Super Powers Team: Galactic Guardians (1985-1986)
0883929281855: Super Friends A Dangerous Fate - Season 5
0883929102037: Super Friends - Season 1, Vol. 2
0883929091652: Superfriends: Season 1, Vol, 1
0883929059416: Superfriends: The Lost Episodes
0085393162627: Challenge Of The Super Friends - The First Season (Dc Comics Classic Collection)
0085392348527: Challenge of the Super Friends - Attack of the Legion of Doom
0014764377322: Super Friends: The All New Super Friends Hour - Season 1, Vol. 1
0014764368429: Super Powers Team-Galactic Guardians (Dvd/2 Disc/P S-1.33/Eng-Sdh Sub)
0014764368320: Super Friends The Legendary Super Powers Show - The Complete Series
0012569688896: Super Friends, Vol. 2 Season 1
Created04-14-2018 2:09:23am
Modified05-19-2019 1:43:31am
MD54870ac23503600e04f4a597301a9607d
SHA256e5bc8393a1708c806c5314206d0ad6010a766de67fc37c2bcf0abb2d97973b08
Search Googleby EAN or by Title
Query Time0.0253420

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.

Close

Search

Close

Share

Close

Dialog