Image
EAN-130097361227641   EAN-13 barcode 0097361227641
UPC-A097361227641   UPC-A barcode 097361227641
Product NameStreets of San Francisco - Season 1, Vol. 2
LanguageEnglish
CategoryElectronics / Photography: A/V Media: Movie
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ B000RZIGSQ
Model3346180
Price New7.98 US Dollars    (curriencies)
Price Used2.58 US Dollars    (curriencies)
IMDbIMDb Link
Run Time98 minutes
Aspect Ratio1.33:1
CastAndrew Duggan, Karl Malden, Michael Douglas, Robert Wagner, Tom Bosley
GenreDramas
Run Time98 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.75 inches    (convert)
Weight50 hundredths pounds    (convert)
BindingDVD
FormatMultiple Formats, Box set, Closed-captioned, Color, Full Screen, NTSC
Published08/18/2015
Run Time98 minutes
FeaturesShrink-wrapped
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Created05-22-2010
Modified05-26-2019 12:03:39am
MD56ba945f4682ef748136341d5fb56a185
SHA2560d018020dee9c0a8da8ec6a460f529ab0d103c97dc0d9326dcd8b4a5cf483a4b
Search Googleby EAN or by Title
Query Time0.0056281

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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