Image
EAN-13	9780810988439
Product Name	Ballroom Bonanza: A Hidden Pictures Abc Book
Language	English
Category	Book / Magazine / Publication
Short Description	Paperback
Amazon.com	Buy on Amazon ~ 0810988437
SKU	NL9780810988439
Price New	4.44 US Dollars    (curriencies)
Price Used	0.96 US Dollars    (curriencies)
Long Description	Animals from around the globe have gathered for a dance contest in the famous Tower Ballroom in Birmingham. Who will win? Camels dancing the conga? Flamingos dancing flamenco? Or penguins doing the polka? And what are those mischievous monkeys up to? Turns out they have stolen the musical instruments - 26 in all. The 26 musical instruments are hidden throughout the book so readers must go back and find them. Once all of them have been found, the grand finale begins. This is a great alphabet and counting book in one!
Created	11-17-2012 6:16:01am
Modified	12-23-2013 10:18:49am
MD5	23f937a767c6d9b64f4c3cb9d3f5e219
SHA256	e96aabfd0873fcfe16ac0af68d03613dcc1087a2520c0426f38b69aae23ea14d
Search Google	by EAN or by Title
Query Time	0.0057540

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.