|Product Name||Annie's Sour Cream & Onion Bunnies Baked Snack Crackers 7.5 oz|
|Amazon.com||Buy on Amazon ~ B000VK451E|
|Price New||5.29 US Dollars (curriencies)|
|Width||2.5 inches (convert)|
|Height||7.8 inches (convert)|
|Length||5.3 inches (convert)|
|Weight||9.6 ounces (convert)|
|Serving Size||48 crackers|
|Total Fat||7 grams|
|Saturated Fat||0.5 grams|
|Total Carbohydrate||19 grams|
|Diatary Fiber||1 grams|
|Ingredients||Organic Wheat Flour, Expeller-Pressed Sunflower Oil, Sour Cream, Onion Seasoning, Nonfat Milk, Onion, Whey, Salt, Cultured Sour Cream, Green Onion, Citric Acid, Garlic, Lactic Acid, Cheddar Cheese, Pasteurized Milk, Cultures, Enzymes, Yeast, Cultured Whole Milk, Ground Celery Seed, Annatto Extract For Color|
|Long Description||Totally natural. No hydrogenated oils. No artificial flavors. Made with real sour cream. All-natural snack crackers from Annie's Homegrown! Do you love real sour cream and onion flavor? Then our crispy, baked Sour Cream & Onion Bunnies are the perfect snack for you. Tasty and wholesome, we think you'll agree, the popular partnership of sour cream and onion fits right into Annie's delicious snack cracker line-up. These crispy baked Bunny Crackers will wake up your taste buds and confirm that Bunnies are the best. Our Sour Cream & Onion Bunnies are made with the real cheddar cheese long associated with Annie's products. Shaped like Bernie, our beloved mascot and Rabbit of Approval, the crackers are bite-sized, just right for toddler hands and grown-up handfuls. And their delicious, crispy, crunch is tempting to cracker lovers of all ages. Sour Cream & Onion Bunnies are baked with simple, all-natural ingredients-unbleached wheat flour, real cheese, natural safflower or sunflower oil-NO artificial ingredients in our Bunnies! And they contain none of the trans fat found in hydrogenated oils, often linked to high cholesterol, heart disease and diabetes. Great tasting and wholesome, our Sour Cream & Onion Bunnies have been created with the same attention to taste and excellence that you have come to expect from every Annie's product. We hope our Sour Cream & Onion Bunnies will gain the same level of trust, loyalty, and enthusiasm that other Annie's products enjoy. Made in the USA.|
|Similar Items||0013562000531: Cheddar Squares|
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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
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
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.