|Product Name||Pioneer Girl: The Story Of Laura Ingalls Wilder|
|Category||Book / Magazine / Publication|
|Amazon.com||Buy on Amazon ~ 0780799739|
|Width||8.39 inches (convert)|
|Height||10.75 inches (convert)|
|Length||0.39 inches (convert)|
|Weight||12 ounces (convert)|
|Long Description||The pioneer spirit lives on... Readers around the world know and love Laura, the little girl born in the Big Woods of Wisconsin and raised in covered wagons and on wide open prairies. Now Little House fans can learn more about "Half-pint" in this, the first picture book biography book of Laura Ingalls Wilder. With a simple, glowing text by noted historian and Little House scholar William Anderson, and glorious paintings by Dan Andreasen, Pioneer Girl is a very special portrait of a writer whose classic books and poineer adventures have made her one of the most popular literary figures in America.This picture-book biography of Laura Ingalls Wilder tells the remarkable story of the pioneer girl who would one day immortalize her adventures in the beloved Little House books. Written in simple, glowing text by noted Little House scholar William Anderson, and illustrated with glorious paintings by artist Dan Andreasen, this wonderful first biography captures the very essence of the little girl called ‘Half-pint,' whose classic books and pioneer adventures have made her one of the most popular literary figures in America.|
|Search Google||by EAN or by Title|
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
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
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.