Image
EAN-130765096006311   EAN-13 barcode 0765096006311
UPC-A765096006311   UPC-A barcode 765096006311
Product Name1/8" Encinitas Tileboard
CategoryHome: Kitchen / Laundry: Appliances
Short DescriptionWeight:24 pounds
Amazon.comA Buy on Amazon ~ B002Q7K9LU
SKU123862
Price New595.19 US Dollars    (curriencies)
FeaturesWall Paneling
Long DescriptionEncinitas Tileboard. AquaTile embossed tileboard is a complete, water-resistant wall covering system for any high-moisture area of the home. No tiles to install or scrub, and there's no grout to clean. Achieve the desirable look of bordered tile and marble. 2 modern mosiac borders plus random mosaic inserts with large tiles in gray. Panel dimensions: 4' x 8' x 1/8". Tile dimensions: 8" x 9-1/4" tiles.
Created03-29-2008
Modified07-05-2017 10:43:36am
MD5ae853265e89f288da5a67a489d47a4b7
SHA256622bb6efa9713151f42616a99da70125fb21c3eb6f72125b4faee5f0759cd0a5
Search Googleby EAN or by Title
Query Time0.0043490

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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