Image
EAN-130704400019203   EAN-13 barcode 0704400019203
UPC-A704400019203   UPC-A barcode 704400019203
Product NameAkashic Record of Bastard Magic Instructor
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B07BFB2SQY
Price New50.65 US Dollars    (curriencies)
Run Time300 minutes
CastJosh Grelle, Monica Rial, Rachael Messer
Run Time300 minutes
Width7.5 inches    (convert)
Height5.4 inches    (convert)
Length0.7 inches    (convert)
Weight25 hundredths pounds    (convert)
BindingBlu-ray
FormatAnimated, Box set, Color, Dolby, NTSC, Subtitled, Widescreen
Run Time300 minutes
Long DescriptionAfter being forced into substitute teaching, Glenn Radars is the last person to be molding the minds of young mages. And his blasé attitude is driving student Sistine Fibel insane! While she’s eager to learn, he’s trying to sleep through class. Luckily, she has best friend Rumia Tingel to help her get a handle on her temper. That is, until she winds up challenging Glenn to a magic duel—and wins. It begs to question: how did this fool wind up at this prestigious academy?! But Glenn is more than he leads on. When the school is attacked by the Researchers of Divine Wisdom, his true talent comes to light—as do a myriad of secrets the kingdom has been keeping! Caught in the middle of it all, Rumia and Sistine must put their faith in Glenn if they want to become capable mages and defend their school.
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Created04-13-2018 1:46:01am
Modified04-29-2020 10:49:17pm
MD521bdf3fb742edc729abf21d392baa35a
SHA256f4c4a8941657da4f363f60cb9fa87a68b33408ae720df88f617eb5b51e149cdb
Search Googleby EAN or by Title
Query Time0.0309219

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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