| Image |  |
| EAN-13 | 9780152048396  |
| Product Name | Catch Me If You Can! (Green Light Readers Level 2) |
| Language | English |
| Category | Book / Magazine / Publication |
| Short Description | Paperback |
| Amazon.com |  Buy on Amazon ~ 0152048391 |
| Price New | 2.45 US Dollars (curriencies) |
| Price Used | 0.99 US Dollars (curriencies) |
| Width | 0.14 inches (convert) |
| Height | 8.5 inches (convert) |
| Length | 6 inches (convert) |
| Weight | 2.56 ounces (convert) |
| Author | Bernard Most |
| Page Count | 24 |
| Binding | Paperback |
| Published | 07/01/2003 |
| Long Description | He has huge claws and enormous feet. He has a big tail and great big teeth. He’s fierce, and everyone runs and hides from the biggest dinosaur of them all. But one little dinosaur doesn’t hide--she knows her gargantuan grandpa is the sweetest dinosaur of them all. Beloved author-illustrator Bernard Most adds an irresistible pair of larger-than-life creatures to his wild and wonderful dinosaur menagerie. |
| Similar Items | 9780152048501: Cloudy Day Sunny Day (Rise and Shine) 9780152048365: A Bed Full Of Cats 9780763608620: Have You Seen The Crocodile?: Read And Share (Reading And Math Together) 9780590449489: Itchy, Itchy Chicken Pox (Hello Reader!, Level 1) 9780152056179: My Robot (Green Light Readers Level 2) 9780007190409: My Robot (Green Light Readers Level 2) 9780152050962: Did You See Chip? (Green Light Readers Level 2) 9780152050900: Try Your Best (Green Light Readers Level 2) 9780152048457: Daniel's Mystery Egg (Green Light Readers Level 2) 9780152048341: Why The Frog Has Big Eyes (Green Light Readers Level 2) View 13 more similar items |
| Created | 02-26-2012 6:38:13pm |
| Modified | 04-30-2020 4:10:38pm |
| MD5 | 3f770f5ef497060184fcb43a434f8cec |
| SHA256 | 22d3152e6517a1afdb7802d0995b6464964732eea5e2fcb0c7ad7db1517dd3cf |
| Search Google | by EAN or by Title |
| Query Time | 0.0366910 |
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.