| Image |  |
| EAN-13 | 0012569734111  |
| UPC-A | 012569734111  |
| Product Name | The Easter Bunny Is Comin' to Town |
| Language | English |
| Category | Electronics / Photography: A/V Media: Movie / TV |
| Amazon.com |  Buy on Amazon ~ B000BVM1T6 |
| Model | 12569734111 |
| Price New | 4.00 US Dollars (curriencies) |
| Price Used | 1.50 US Dollars (curriencies) |
| Rating | G - General Audiences |
| IMDb | 
|
| Run Time | 50 minutes |
| Aspect Ratio | 1.33:1 |
| Cast | Fred Astaire, Skip Hinnant, Bob McFadden, Allen Swift |
| Director | Jules Bass, Arthur Rankin Jr. |
| Genre | ANIMATION,ADVENTURE,COMEDY,FAMILY,FANTASY,MUSICAL |
| Run Time | 50 minutes |
| Width | 5.5 inches (convert) |
| Height | 0.75 inches (convert) |
| Length | 7 inches (convert) |
| Weight | 24 hundredths pounds (convert) |
| Binding | Dvd |
| Release Year | 1977 |
| Format | Multiple Formats, Animated, Closed-captioned, Color, NTSC, Subtitled |
| Run Time | 50 minutes |
| Features | Shrink-wrapped |
| Long Description | The Mailman decides to stop another deluge of letters by answering questions about the Easter Bunny: Sunny, a baby rabbit found and adopted by Kidville (a town of only kids--even a kid mailman). And when Sunny goes delivering eggs to the nearby town (which he has to dye to fool Gadzooks, the mean bear on the mountain), he discovers that there are no kids in the town, and that the rightful (kid) ruler is being suppressed by his aunt. But the young king likes Sunny's dyed eggs and jelly beans. So Kidville, with the help of an old train engine, makes a few plans (and a decoy chocolate rabbit) to distribute them. |
| Similar Items | 9780824941499: Here Comes Peter Cottontail! 9780738923512: Emperor's New Clothes 0883929233427: First Christmas The Story of the First Christmas Snow Deluxe Edition 0883929175604: Easter 3-Pack Fun 0883929101047: First Easter Rabbit Deluxe Edition 0883929005284: Be My Valentine, Charlie Brown 0883316610602: Rankin/Bass TV Holiday Favorites Collection 0088392900528: Be My Valentine, Charlie Brown 0085391200635: It's the Easter Beagle, Charlie Brown 0074645920597: Here Comes Peter Cottontail 0037117028986: Here Comes Peter Cottontail 0025192074547: Hop 0012236104391: Mad Monster Party |
| Created | 05-22-2010 |
| Modified | 02-07-2019 2:48:30am |
| MD5 | 37eb8b97b9c3410fd3890e59f88eaa30 |
| SHA256 | 350713203c324cee3be66c3a9e05fd048d73888c280043c52c8968c62c740382 |
| Search Google | by EAN or by Title |
| Query Time | 0.0323260 |
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.