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EAN-139780030568411   EAN-13 barcode 9780030568411
Product Name1,000 Places to See Before You Die: Revised Second Edition
LanguageEnglish
CategoryBook / Magazine / Publication
Amazon.comA Buy on Amazon ~ 0761156860
SKU9780761156864
Price New6.25 US Dollars    (curriencies)
Price Used2.88 US Dollars    (curriencies)
Width1.75 inches    (convert)
Height7.5 inches    (convert)
Length5.25 inches    (convert)
Weight44.48 ounces    (convert)
AuthorPatricia Schultz
Page Count1216
BindingPaperback
Published07/01/2015
FeaturesGreat product!
Long Description
The world’s bestselling travel book is back in a more informative, more experiential, more budget-friendly full-color edition. A #1 New York Times bestseller, 1,000 Places reinvented the idea of travel book as both wish list and practical guide. As Newsweek wrote, it “tells you what’s beautiful, what’s fun, and what’s just unforgettable— everywhere on earth.” And now the best is better. There are 600 full-color photographs. Over 200 entirely new entries, including visits to 28 countries like Lebanon, Croatia, Estonia, and Nicaragua, that were not in the original edition. There is an emphasis on experiences: an entry covers not just Positano or Ravello, but the full 30-mile stretch along the Amalfi Coast.

Every entry from the original edition has been readdressed, rewritten, and made fuller, with more suggestions for places to stay, restaurants to visit, festivals to check out. And throughout, the book is more budget-conscious, starred restaurants and historic hotels such as the Ritz, but also moderately priced gems that don’t compromise on atmosphere or charm.

The world is calling. Time to answer.

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Created02-12-2013 12:34:10pm
Modified08-20-2017 5:09:36am
MD5adf189a64e0aaf611c24b6341bf07f77
SHA256a50a6675136d72f1d33a8c25beb55589b2734d35b58019aeb049ccd503268217
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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
(
    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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