Image
EAN-13	0011891951067
UPC-A	011891951067
Product Name	TV's Lost Shows Collection
Category	Electronics / Photography: A/V Media: Movie
Amazon.com	Buy on Amazon ~ B000AARK3A
Price New	5.01 US Dollars    (curriencies)
Price Used	1.99 US Dollars    (curriencies)
Rating	PG - Parental Guidance Suggested
IMDb	Not on IMDb
Run Time	870 minutes
Cast	Alan Young, Groucho Marx, Jack Webb, Jim Backus, Joan Davis
Run Time	870 minutes
Weight	25 hundredths pounds    (convert)
Binding	DVD
Format	Multiple Formats, Box set, Black & White, Dolby, NTSC
Run Time	870 minutes
Long Description	This Lost TV Shows collection contains 20 episodes of some of the greatest TV shows that were produced during the 1950s and 1960s. A great many of these episodes have not been shown on TV for as long as two to three decades. TV shows included: Lassie, The Life of Riley, You Bet Your Life, I Married Joan, Combat!, Sea Hunt, Mannix, Burke's Law, Dragnet, Wagon Train, Mister Ed, The Adventures of Robin Hood.
Similar Items	0874757011097: Front Page Detective 0826831070520: Classic Sci-Fi TV - 150 Episodes Flash Gordon - Clutch Cargo - One Step Beyond - Superman - Rocky Jones - The Shadow + 144 more! 0773848606931: Cannon//The Complete Collection/5 Seasons ,122 Episodes 0683904524324: Family Tv Classics (4-Disc): Dick Van Dyke Show / Adventures Of Ozzie & Harriet / Petticoat Junction 0683904507204: 1001 Classic Commercials 0683904506450: Holiday Tv Classics (Dvd/4 Disc) 0097368792043: Honeymooners - Classic 39 Episodes 0074647000099: Lassie-Flight Of The Cougar (Dvd)-Nla 0027616928221: Mister Ed Barnyard Favorites 0011301676269: Best of The Red Skelton Show 0011301633057: 101 Timeless TV Classics - 8 DVD Set! Over 40 Hours!
Created	05-22-2010
Modified	06-05-2019 5:26:03pm
MD5	e1acd1b20df1ed36b2e2ac865e35d51e
SHA256	fcce9eb757807648698935556ab64c4d9c37c770f235aa6ea16294e6801d781b
Search Google	by EAN or by Title
Query Time	0.0024841

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.