Image
EAN-130841887036887   EAN-13 barcode 0841887036887
UPC-A841887036887   UPC-A barcode 841887036887
Product NameThe Mayo Clinic, Faith, Hope and Science
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B07F6ZD7PZ
Price New15.56 US Dollars    (curriencies)
Price Used15.59 US Dollars    (curriencies)
RatingPG - Parental Guidance Suggested
IMDbIMDb Link
Run Time116 minutes
CastKevin Conway, Peter Coyote, Tom Hanks, Sam Waterston
DirectorKen Burns(co-director), Christopher Loren Ewers(co-director), Erik Ewers(co-director)
GenreDOCUMENTARY
Run Time116 minutes
Width5.25 inches    (convert)
Height0.5 inches    (convert)
Length7.25 inches    (convert)
Weight15 hundredths pounds    (convert)
BindingDvd
Release Year2018
FormatColor, NTSC, Widescreen
Run Time116 minutes
FeaturesShrink-wrapped
Long DescriptionThe Mayo Clinic: Faith - Hope - Science tells the story of a unique medical institution that has been called a "Medical Mecca," the "Supreme Court of Medicine," and the "place for hope ...
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Created10-04-2018 12:01:23am
Modified10-21-2018 8:11:46am
MD5109b9347e99c1afeb28b08c9e2937cea
SHA2567958e876c4e094cdc8ca323567904e553af45779b7e2ca92953c69c6a131a511
Search Googleby EAN or by Title
Query Time0.0210609

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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