EAN-139780807208052   EAN-13 barcode 9780807208052
Product NameMagic Tree House Collection Books 17-20
LanguageEnglish
CategoryBook / Magazine / Publication
Amazon.comA Buy on Amazon ~ 0807208051
SKUAJL-01/03/2012--0069
Price New196.42 US Dollars    (curriencies)
Price Used9.52 US Dollars    (curriencies)
BindingAudio Cassette
Long DescriptionBOOK #17: TONIGHT ON THE TITANIC: Jack and Annie are whisked away to the decks of the Titanic, where they must help two children find their way to a lifeboat - and are in danger of becoming victims of that tragic night themselves. BOOK #18: BUFFALO BEFORE BREAKFAST: Jack and Annie travel to the Old West, where they roam the Great Plains with a Lakota boy. BOOK #19: TIGERS AT TWILIGHT: While in India, Jack and Annie have adventures involving a tiger and other endangered jungle animals. BOOK #20: DINGOES AT DINNERTIME: Jack and Annie are whisked Down Under to the land of Australia, where they save several animals from a raging wildfire.
Created11-15-2012 11:05:52pm
Modified10-31-2016 6:09:38am
MD58579f61d02861e503c670d93848b0a1d
SHA2560c90d50e41b55863f4ea982406b18f34498f2f865d79a66e62654faa73c6cb0c
Search Googleby EAN or by Title
Query Time0.0053082

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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