| Image |  |
| EAN-13 | 0078693619502  |
| UPC-A | 078693619502  |
| Product Name | The Santa Clause |
| Category | Electronics / Photography: A/V Media: Movie / TV |
| Amazon.com |  Buy on Amazon ~ B000068TQV |
| Model | 2259376 |
| Price New | 1.38 US Dollars (curriencies) |
| Price Used | 1.24 US Dollars (curriencies) |
| Rating | PG - Parental Guidance Suggested |
| IMDb | 
|
| Run Time | 97 minutes |
| Aspect Ratio | 1.85:1 |
| Cast | Judge Reinhold, Tim Allen, Wendy Crewson |
| Director | John Pasquin |
| Genre | COMEDY,DRAMA,FAMILY |
| Run Time | 97 minutes |
| Width | 5.5 inches (convert) |
| Height | 0.5 inches (convert) |
| Length | 7.75 inches (convert) |
| Weight | 26 hundredths pounds (convert) |
| Binding | Dvd |
| Release Year | 1994 |
| Format | Multiple Formats, Anamorphic, Closed-captioned, Color, Dolby, Widescreen, NTSC |
| Published | 09/01/2013 |
| Run Time | 97 minutes |
| Features | Shrink-wrapped |
| Long Description | Scott Calvin is disgusted to learn that his ex-wife and her husband have tried - and failed - to break it easy to their 6-year-old son Charlie that Santa isn't real. On Christmas Eve, Scott reads The Night Before Christmas - then receives an unexpected visitor on his roof. When Santa is startled by Scott's calling out and falls, he disappears, leaving only an 8-reindeer sleigh and a suit with instructions to put it on if he's involved in an accident. Scott does, and is transported around the town dropping gifts through chimneys until he's taken to the North Pole and informed by a group, who claim they're elves, that he is now Santa. Charlie is proud of his dad's new job, though Scott's convinced it's a dream. Until his hair turns white, his beard refuses to stay shaved, he gains weight inexplicably, even for his sudden love of junk food - Now he's accepted it, there's just one problem: how to keep it secret from his disbelieving family. |
| Similar Items | 9780783258331: Dr. Seuss' How the Grinch Stole Christmas 9780780647749: Elf 0794043716829: Elf 0786936727012: Santa Clause 3 - The Escape Clause 0786936221794: Santa Clause 2 0689721046612: Dr. Seuss' How the Grinch Stole Christmas 0433961828824: Elf 0085391132417: National Lampoon's Christmas Vacation 0032429251633: It's A Wonderful Life 0025192067723: Dr. Seuss' How the Grinch Stole Christmas 0024543465478: Jingle All the Way 0024543068358: Home Alone 0024543004981: Miracle on 34th Street 0012569796287: A Christmas Story |
| Created | 01-25-2014 11:28:38pm |
| Modified | 10-02-2022 12:12:55am |
| MD5 | e7f3b6f33b7181000b5baa083c1a0fa7 |
| SHA256 | 4b3f99aa73d0f5f36daa7a72b9822f8826cbe60bbbf7074316c873ab41172708 |
| Search Google | by EAN or by Title |
| Query Time | 0.0369740 |
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.