Image
EAN-13	9780763650292
Product Name	The Most Amazing Hide-And-Seek Numbers Book
Language	English
Category	Book / Magazine / Publication
Amazon.com	Buy on Amazon ~ 0763650293
SKU	9647948-N
Price New	6.48 US Dollars    (curriencies)
Price Used	1.44 US Dollars    (curriencies)
Width	0.52 inches    (convert)
Height	8.12 inches    (convert)
Length	10.88 inches    (convert)
Weight	10.4 ounces    (convert)
Author	Robert Crowther
Page Count	12
Binding	Paperback
Published	07/26/2010
Long Description	In these two classics from Robert Crowther, readers can lift the flaps and pull the tabs to find an alphabet’s worth of animals—and any number of surprises. One spider descends on its thread. Nine bees fly up from their hive. Twenty snakes slither. In a pop-up counting book certain to engage young readers, each kinetic collection of creatures illustrates a number from one to twenty — then by tens, all the way up to one hundred.
Similar Items	9780763642532: Robert Crowther's Pop-Up House Of Inventions: Hundreds Of Fabulous Facts About Your Home 9781844288557: Opposites 9780763638528: Ships: A Pop-Up Book 9780763630829: Trains: A Pop-Up Railroad Book 9780794430405: Brush Your Teeth, Please: A Pop-Up Book 9780711207592: The Most Amazing Hide-And-Seek Alphabet Book 9780763649586: Robert Crowther's Amazing Pop-Up Big Machines 9780763627836: Opposites 9780763618896: Shapes 9780763650308: The Most Amazing Hide-And-Seek Alphabet Book View 7 more similar items
Created	11-19-2012 8:41:52am
Modified	05-05-2017 3:06:13am
MD5	e77b33692ac1b35064fdc896728dd108
SHA256	31fd9bc20613604ecdab4ad9a375bf6e305b6afef67d666312b29d0a74a3c76f
Search Google	by EAN or by Title
Query Time	0.0225899

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.