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EAN-139780634031601   EAN-13 barcode 9780634031601
Product NameTom Petty The Definitive Guitar Collection (Guitar Recorded Versions)
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionPaperback
Amazon.comA Buy on Amazon ~ 0634031600
SKU0717-WS0302-A11005-0634031600
Model690499
Price New11.84 US Dollars    (curriencies)
Price Used8.20 US Dollars    (curriencies)
Width0.29 inches    (convert)
Height12 inches    (convert)
Length9 inches    (convert)
Weight12.96 ounces    (convert)
AuthorTom Petty
Page Count104
BindingPaperback
Published02/01/2003
FeaturesA Face In The Crowd American Girl Breakdown Don't Come Around Here No More Don't Do Me Like That Even The Losers Free Fallin' Here Comes My Girl I Need To Know I Won't Back Down Into The Great Wide Open Learning To Fly Listen To Her Heart Mary Jane's Last Dance Refugee Runnin' Down A Dream Stop Draggin' My Heart Around
Long Description(Guitar Recorded Versions). 17 classics from Petty's vast repertoire, newly transcribed with tab: American Girl * Breakdown * Don't Come Around Here No More * Don't Do Me like That * Even the Losers * A Face in the Crowd * Free Fallin' * Here Comes My Girl * I Need to Know * I Won't Back Down * Into the Great Wide Open * Learning to Fly * Listen to Her Heart * Mary Jane's Last Dance * Refugee * Runnin' Down a Dream * Stop Draggin' My Heart Around.
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Created02-26-2012 8:48:47pm
Modified04-30-2020 10:52:28pm
MD5db9f6fc79cd18c43ec4c52bf343dd330
SHA25636f461684d12fda65ed7e888ec0800b487aeb4983041fb3d1f302877fbf3ee7f
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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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