Image
EAN-130000002010571   EAN-13 barcode 0000002010571
UPC-A000002010571   UPC-A barcode 000002010571
Product NameFriendly Pillow, Blue
LanguageEnglish
CategoryHome: Linnen / Bath
Short DescriptionLb
Amazon.comA Buy on Amazon ~ B000ZU91ZK
Model1207-401
Price New6.49 US Dollars    (curriencies)
Width3 inches    (convert)
Height15 inches    (convert)
Length13 inches    (convert)
Weight8 ounces    (convert)
FeaturesMade in USA Lightweight, soft and cuddly Machine Washable Completely non-toxic and non-allergenic Safe for infants and children of all ages
Long DescriptionMade in USA Lightweight, soft and cuddly Machine Washable Completely non-toxic and non-allergenic Safe for infants and children of all ages
Created07-01-2006
Modified06-29-2020 4:07:51am
MD57d2306068411048991e814c48a543f45
SHA2565dae34316bcbfcf4b6fde75b4ecd21c61e6e4ff15a875f3e6c6b44adfad64bef
Search Googleby EAN or by Title
Query Time0.0046639

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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