Image
EAN-130014764137636   EAN-13 barcode 0014764137636
UPC-A014764137636   UPC-A barcode 014764137636
Product NameScooby-Doo - Which Witch is Which? [VHS]
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ 6305041245
Price New245.97 US Dollars    (curriencies)
Price Used29.00 US Dollars    (curriencies)
Weight7.36 ounces    (convert)
BindingVHS Tape
Long Description60 minutes of hilarious action-packed mystery! In WHICH WITCH IS WHICH? Scooby and the gang meet a gruesome zombie in the swamp only to find he's under the spell of of a voodoo-practicing witch. The gang soon discovers that this mysterious pair of fiends are wanted for theft and solve yet another mystery. In the bonus, NOWHERE TO HYDE, the classic tale of Dr. Jekyll and Mr. Hyde comes to life in this mysterious caper.
Similar Items9786304162286: Scooby-Doo's A Nutcracker Scoob [Vhs]
0014764127132: Scooby-Doo - A Nutcracker Scoob
9781560394631: Scooby Doo: Headless Horseman of Halloween [VHS]
0014764119830: Scooby Doo: Headless Horseman Of Halloween [Vhs]
9786304140758: Scooby-Doo - Halloween Hassle At Dracula's Castle [Vhs]
9786304093429: Scooby-Doo - A Gaggle Of Galloping Ghosts [Vhs]
9786305041160: Scooby-Doo - Foul Play in Funland [VHS]
9781560394433: Scooby-Doo - Scooby-Doo and a Mummy Too [VHS]
0014764125435: Scooby-Doo
0014764386737: Scooby-Doo's Greatest Mysteries
9781560395805: Scooby-Doo - The Haunted House Hang-Up [VHS]
9781560395799: Scooby-Doo - That's Snow Ghost [VHS]
9781560395782: Scooby-Doo - Mystery Mask Mix-Up [VHS]
0014764144139: Classic Scooby-Doo: Mystery Mask Mix-Up (For Video)
Created04-29-2016 1:04:31am
Modified04-28-2020 2:55:56pm
MD526dc3c66bd4d7dea0a5c3d16a6cabbd8
SHA256bdaaea86a3a15d3bf46ae05af4390ad1e3675a2f54aaa0d6ab15e3af7cbd311c
Search Googleby EAN or by Title
Query Time0.0272298

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