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EAN-139780812490701   EAN-13 barcode 9780812490701
Product NameHalloween Party (Fear Street, No. 8)
CategoryBook / Magazine / Publication
Short DescriptionPrebound
Amazon.comA Buy on Amazon ~ 0812490703
SKU1146140
Price Used9.94 US Dollars    (curriencies)
Width4.1 inches    (convert)
Height0.7 inches    (convert)
Length7 inches    (convert)
Weight4 ounces    (convert)
AuthorR. L. Stine
Page Count176
BindingHardcover
Published09/01/1990
Long DescriptionFull of unexplained mystery, Fear Street is the perfect venue for a Halloween party. But Terry and Niki are puzzled when they receive a mysterious invitation from a girl they hardly know. And the party is well under way before they realize that someone at the party is a killer.
Created11-09-2012 11:05:50am
Modified05-04-2015 5:04:13pm
MD5998c9a6c2991cb184aefd23a7f0fb8d9
SHA256a82d22cb21248a7152248e598f5a2f2e0782940585ddcaee34ff3b8302e59dbc
Search Googleby EAN or by Title
Query Time0.0061669

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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