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EAN-139780393307115   EAN-13 barcode 9780393307115
Product NameCurses! Broiled Again!
CategoryBook / Magazine / Publication
Short DescriptionHeight:8.15 inches / Length:0.91 inches / Weight:0.85 pounds / Width:5.39 inches
Amazon.comA Buy on Amazon ~ 0393307115
SKU0393307115
Price New2.00 US Dollars    (curriencies)
Price Used0.99 US Dollars    (curriencies)
Width0.9 inches    (convert)
Height8.3 inches    (convert)
Length5.5 inches    (convert)
Weight13.6 ounces    (convert)
AuthorJan Harold Brunvand
Page Count336
BindingPaperback
Published08/17/1990
FeaturesISBN13: 9780393307115, Condition: New, Notes: BRAND NEW FROM PUBLISHER! 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!
Long DescriptionFrom the master folklorist and sly wit, Jan Brunvand, comes a collection of all-new urban legends. Did your cousin's wife's dentist's daughter go to the tanning parlor once too often and had her insides cooked? Has your husband's brother's nephew teacher try to make a dead rabbit look alive? If so, you've heard―or you yourself may have told―two of the seventy-plus legends in this collection. Urban legends are "those bizarre but believable stories about batter-fried rats, spiders in hairdos, Cabbage Patch dolls that get funerals, and the like that pass by word of mouth as being the gospel truth." But of course, though often told as having happened to a FOAF (friend of a friend), they aren't true. Included in this collection are legends about sex, horror, cars, business, and academia. Among them are "The Bible Student's Exam," "The Pregnant Shoplifter," "The Ice Cream Cone Caper," "Don't Mess with Texas," and "Mrs. Fields' Cookie Recipe."
Similar Items9780814318676: When You're Up To Your Ass In Alligators: More Urban Folklore From The Paperwork Empire
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Created02-26-2012 9:35:53pm
Modified04-30-2020 7:25:41pm
MD51210e13f3316fbda9b521df8f3f9b2aa
SHA25608f874b98e5a3dc492f92e38342721b0ff3e82fcc422c9cec985c546682e0b74
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An article of interest

Making use of the tools we offer

Importing our data into your MySQL database

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.