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EAN-130041789901058   EAN-13 barcode 0041789901058
UPC-A041789901058   UPC-A barcode 041789901058
Product NameMaruchan Instant Lunch Lime Flavor with Shrimp, 2.25 Oz, Pack of 12
LanguageEnglish
CategoryFood
Short Description12 ct
Amazon.comA Buy on Amazon ~ B003OB4ADK
Model4178990105
Price New17.99 US Dollars    (curriencies)
Width6 inches    (convert)
Height10 inches    (convert)
Length12 inches    (convert)
Weight194 hundredths pounds    (convert)
BindingGrocery
Published05/28/2010
Features3 Minute 0 Grams Trans Fat
Long DescriptionMaruchan Instant Lunch, Lime Shrimp comes in 2.25 ounce package. Maruchan Instant Lunch is a delicious ramen noodle soup packaged in a convenient cup. Just add hot water, wait only 3 minutes, and then enjoy a hearty ramen noodle soup. Instant Lunch products are great to enjoy anywhere. The many flavors are ideal for young families on the go. Discover the great taste and convenience of Maruchan Instant Lunch.
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Created06-17-2007
Modified04-28-2020 6:14:47pm
MD5dcb39fc5f3adf3c6b37b7c4b6b20733e
SHA25609e1e560988841d38b092c6ba2754aeadf1e50a7306142795bddfaebd9d1ab92
Search Googleby EAN or by Title
Query Time0.0258319

An article of interest

Making use of the tools we offer

Importing our data into your MySQL database

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.