Image
EAN-139781409507789   EAN-13 barcode 9781409507789
Product NameNoisy Robots (Noisy Books)
CategoryBook / Magazine / Publication
Short DescriptionBoard
Amazon.comA Buy on Amazon ~ 1409507785
SKU6640109
Price New14.30 US Dollars    (curriencies)
Price Used3.67 US Dollars    (curriencies)
Width0.67 inches    (convert)
Height10.63 inches    (convert)
Length9.06 inches    (convert)
Weight25.76 ounces    (convert)
AuthorSam Taplin
Page Count10
BindingBoard book
Published10/01/2009
Long DescriptionAn exciting picture board book, full of robots of all different shapes and sizes. A sound panel down the side features eight buttons to press that allow children to hear the robots beeping, buzzing and clanking. Robust enough to withstand repeated use, and with strong picture tabs along the top so that children can find their favourite robots with ease.
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9781409523017: Noisy Knights (Noisy Books)
9781409524441: Usborne Noisy Pets. [Words By Jessica Greenwell]
9780746098981: Noisy Jungle
Created11-16-2012 10:14:20pm
Modified09-14-2017 10:07:08am
MD592bec2f651c92dc23d1d0c94924e46a0
SHA2565894c59805893f5639b06066ca9f3c6665d5dffe93b093f672958982e2208059
Search Googleby EAN or by Title
Query Time0.0110581

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.

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