Image
EAN-130602318651327   EAN-13 barcode 0602318651327
UPC-A602318651327   UPC-A barcode 602318651327
Product NameBig Bang Theory S1-11
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B07DQZM9W8
Price New54.87 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
Run Time4,664 minutes
CastJim Parsons, Johnny Galecki, Kaley Cuoco, Kunal Nayyar, Simon Helberg
GenreComedy
Run Time4664 minutes
Weight132 hundredths pounds    (convert)
BindingBlu-ray
FormatPAL, Subtitled
Run Time4,664 minutes
Long DescriptionLeonard and Sheldon are brilliant physicists, the kind of beautiful minds that understand how the universe works. But none of that genius helps them interact with people, especially women. All this begins to change when a free-spirited beauty named Penny moves in next door. Sheldon, Leonard's roommate, is quite content spending his nights playing Klingon Boggle with their socially dysfunctional friends, fellow Caltech scientists Wolowitz and Koothrappali. However, Leonard sees in Penny a whole new universe of possibilities ... including love.
Similar Items0888574712648: Young Sheldon The Complete First Season
0883929657711: Big Bang Theory The Complete Twelfth and Final Season
0883929656097: Big Bang Theory The Complete Twelfth and Final Season
0883929618491: Game of Thrones: The Complete Seasons 1-7 (BD + Digital)
0883929329885: Ocean's Trilogy Collection
0683904111685: Married with Children The Complete Series
0032429201430: Charmed The Complete Series
Created01-21-2019 8:57:17pm
Modified05-23-2019 8:43:36am
MD50445051b2c7b7a1cdac8b7338705162a
SHA2566bf6cefb32eb9d0100ce0287a029e87c8e2f838504968fb8951ac78cb5a50d52
Search Googleby EAN or by Title
Query Time0.0022039

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.

Close

Search

Close

Share

Close

Dialog