| Image |  |
| EAN-13 | 9780595130399  |
| Product Name | Big Al |
| Category | Book / Magazine / Publication |
| Short Description | Paperback |
| Amazon.com |  Buy on Amazon ~ 0689817223 |
| SKU | 9780689817229 |
| Price New | 6.38 US Dollars (curriencies) |
| Price Used | 1.00 US Dollars (curriencies) |
| Width | 0.2 inches (convert) |
| Height | 8.75 inches (convert) |
| Length | 10.5 inches (convert) |
| Weight | 5.28 ounces (convert) |
| Author | Andrew Clements |
| Page Count | 32 |
| Binding | Paperback |
| Published | 09/01/1997 |
| Long Description | Poor Big Al! He just wants to make friends. And in the whole wide blue sea you can't find a nicer fish. But because Big Al is large and scary-looking, the little fish are afraid to get to know him. What can he do? He tries everything he can think of -- from disguising himself with seaweed to burrowing under the ocean floor so he'll look smaller. But something always goes wrong, and lonely Big Al wonders if he'll ever have a single friend. Then one frightening day, when a fishing net captures the other fish, Big Al gets the chance to prove what a wonderful friend he can be! |
| Similar Items | 9780394826202: Swimmy 9781416903666: Big Al And Shrimpy 9780763663353: Taking A Bath With The Dog And Other Things That Make Me Happy 9780735840942: I Have A Little Problem, Said The Bear 9780618111244: On Monday When It Rained 9780547727509: Mouse Was Mad 9781570615436: Winston Of Churchill: One Bear's Battle Against Global Warming 9780460067232: The Boy Who Was Followed Home 9781402721694: Gilbert The Great 9780316563123: The Bear's Toothache View 36 more similar items |
| Created | 07-29-2012 9:09:13pm |
| Modified | 04-30-2020 10:20:51pm |
| MD5 | 5f7a192b83f6e93bcb5d982d4a916521 |
| SHA256 | b0eefd58fa4e7c0d96bc80b0f526e6973af0b1c59fc9bcfd7607981935e18d7b |
| Search Google | by EAN or by Title |
| Query Time | 0.0289209 |
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.