Image
EAN-139780548665732   EAN-13 barcode 9780548665732
Product NameRoad Trip Usa: Cross-Country Adventures On America's Two-Lane Highways
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionPaperback
Amazon.comA Buy on Amazon ~ 1598809253
SKUNL9781598809251
Price New31.99 US Dollars    (curriencies)
Price Used16.00 US Dollars    (curriencies)
Width5.4 inches    (convert)
Height1.5 inches    (convert)
Length8.3 inches    (convert)
Weight36.8 ounces    (convert)
AuthorJamie Jensen
Page Count992
BindingPaperback
Published05/08/2012
Long Description

Now in its sixth edition, Jamie Jensen's best-selling Road Trip USA is better than ever. Inside, you’ll find cross-country routes and road-tested advice for adventurers who want to see the parts of America that the interstates have left behind. Jensen also includes mile-by-mile highlights celebrating major cities, obscure towns, popular attractions, roadside curiosities (if you’re looking for the world’s largest jackalope, you’re in luck), local lore, and oddball trivia. With full coverage of over 35,000 miles of classic blacktop, Road Trip USA will take you off the beaten path and into the heart of America.

Features include:

  • A flexible network of route combinations, extensively cross-referenced to allow for hundreds of possible itineraries
  • Essential tips for the road: survival guides for two dozen cities, call letters of the liveliest radio stations, and details on where to eat and sleep
  • More than 140 meticulously detailed maps
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9780689712296: Fodor's Essential Usa: Spectacular Cities, Natural Wonders, And Great American Road Trips (Full-Color Travel Guide)
9781741797350: Lonely Planet Usa's Best Trips (Regional Travel Guide)
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Created10-11-2012 1:06:09am
Modified05-06-2017 7:27:25pm
MD577d6f1dbec04d741cea04b09175c2b34
SHA256b215e10f4ac55f4501db9020239ac54c2d298ecaf9462f041f562e76858af34d
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Query Time0.0284040

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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