|Product Name||44 Charles Street: A Novel (Random House Large Print)|
|Category||Book / Magazine / Publication|
|Amazon.com||Buy on Amazon ~ 0739378058|
|Price New||58.14 US Dollars (curriencies)|
|Price Used||3.81 US Dollars (curriencies)|
|Width||0.83 inches (convert)|
|Height||9.2 inches (convert)|
|Length||6.2 inches (convert)|
|Weight||15.68 ounces (convert)|
|Features||Used Book in Good Condition|
|Long Description||A magical transformation takes place in Danielle Steel’s luminous new novel: Strangers become roommates, roommates become friends, and friends become a family in a turn-of-the-century house in Manhattan’s West Village. The plumbing leaked; the furniture was rescued from garage sales. And every inch was being restored to its original splendor—even as a relationship fell apart. Owner of a struggling art gallery and newly separated from her boyfriend, Francesca Thayer does the math and then the unimaginable. She puts out an advertisement for boarders, and soon her Greenwich Village house becomes a whole new world. First comes Eileen, a pretty L.A. transplant, now a New York City schoolteacher. Then there’s Chris, a young father struggling for custody of his seven-year-old son. The final tenant is Marya, a celebrated cookbook author hoping to heal after the death of her husband. Over the course of one amazing, unforgettable, life-changing year, the house at 44 Charles Street fills with laughter, heartbreak, and, always, hope. In the hands of master storyteller Danielle Steel, it’s a place those who visit will never want to leave.|
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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.