EAN-130821797777070   EAN-13 barcode 0821797777070
UPC-A821797777070   UPC-A barcode 821797777070
Product NameMobile Fidelity - Mfsl Inner Sleeves (Pkg 50)
CategoryMusical Instrument
Short DescriptionHeight:8 inches / Length:6 inches / Weight:2 pounds / Width:4 inches
Amazon.comA Buy on Amazon ~ B001LQSFKY
Price New19.99 US Dollars    (curriencies)
Long DescriptionMobile Fidelity Inner Sleeves are the very best protection for all of your irreplaceable vinyl Don't be fooled by all the imitation sleeves out there. Only the Original Master Sleeves from Mobile Fidelity Sound Lab offer the finest protection for all of your valuable records. These imported, three-ply, anti-static, premium record sleeves have been used in MFSL LP packaging for the last 35 years decades and now you can use them to care for all your vinyl. These record sleeves are recommended and personally used by more music reviewers, record labels, and music lovers than any others. Try a set for yourself and see why these sleeves are the best selling in the world. 50 sleeves per package.
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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 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.

    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    INTO TABLE ean_product

Finally, lets look at the data that we just imported.


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.