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EAN-130786936283945   EAN-13 barcode 0786936283945
UPC-A786936283945   UPC-A barcode 786936283945
Product NameOld Yeller 2-Movie Collection
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie / TV
Short DescriptionWeight:0.2 pounds
Amazon.comA Buy on Amazon ~ B000AJJNIG
Long DescriptionLD YELLER is a heartfelt Walt Disney story of a poor 1860s Texas family and the wonderful dog who befriends them. At first, young Travis wants nothing to do with the stray. But Old Yeller quickly proves himself a loyal friend and the two become inseparable pals, sharing joyous experiences and learning valuable lessons. SAVAGE SAM: In this sequel to OLD YELLER, the famous dog's offspring saves his masters from a group of Apache Indians. The intrepid canine must brave wolves and wildcats before accomplishing his task.
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Created05-22-2010
Modified01-07-2020 11:44:47am
MD56879a22c5712818f6a7bf12a22db1212
SHA25657f580a95768c53a617cf0be46664a0c078578599379e730335a86b863ea7379
Search Googleby EAN or by Title
Query Time0.0464361

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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