Image | ![]() |
EAN-13 | 5017188889124 ![]() |
Product Name | Hall6ween |
Language | English |
Category | Electronics / Photography: A/V Media: Movie / TV |
Amazon.com | ![]() |
Price Used | 32.21 US Dollars (curriencies) |
Rating | R - Restricted |
IMDb | ![]() |
Trailer | Watch The Trailer |
Run Time | 87 minutes |
Aspect Ratio | 1.85:1 |
Cast | Donald Pleasence, Kim Darby, Marianne Hagan, Mitchell Ryan, Paul Rudd |
Director | Joe Chappelle |
Genre | HORROR,THRILLER |
Run Time | 87 minutes |
Weight | 40 hundredths pounds (convert) |
Binding | Dvd |
Release Year | 1995 |
Format | PAL |
Run Time | 87 minutes |
Long Description | Six years ago, Michael Myers terrorized the town of Haddonfield, Illinois. He and his niece, Jamie Lloyd, have disappeared. Jamie was kidnapped by a bunch of evil druids who protect Michael Myers. And now, six years later, Jamie has escaped after giving birth to Michael's child. She runs to Haddonfield to get Dr. Loomis to help her again. Meanwhile, the family that adopted Laurie Strode is living in the Myers house and are being stalked by Myers. It's the curse of Thorn that Michael is possessed by that makes him kill his family. And it's up to Tommy Doyle, the boy from Halloween, and Dr. Loomis, to stop them all. |
Similar Items | 0025192360626: Halloween Iii: Season Of The Witch, Region 1, Anamorphic Widescreen - 2.35, English Dd Mono 2.0 0043396344433: Halloween II 0013131675191: Halloween 4 The Return of Michael Myers / Halloween 5 The Revenge of Michael Myers 0796019805575: Halloween 0013131542899: Halloween 0025195008587: Halloween II / Halloween III Season of the Witch 0013131328998: Halloween 5: The Revenge Of Michael Myers (Divimax Edition) 0013131328899: Halloween 4 The Return of Michael Myers 9780783261164: Halloween II 0025192142727: Halloween II 9786305291442: H20 Halloween Twenty Years Later |
Created | 06-23-2016 5:23:49pm |
Modified | 04-27-2018 3:34:00am |
MD5 | bab5f31b36fbac8b40299c16cf9a0ab4 |
SHA256 | df3517ca7c32ff23290965890ef3223d75252dceea283220ee2593e59d83bf44 |
Search Google | by EAN or by Title |
Query Time | 0.0287628 |
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.