Image
EAN-13	9781404980068
Product Name	November
Category	Electronics / Photography: A/V Media: Movie / TV
Web Link	www.sonyclassics.com
Amazon.com	Buy on Amazon ~ B000BNXD64
Model	043396108936
Price New	0.49 US Dollars    (curriencies)
Price Used	0.01 US Dollars    (curriencies)
Rating	R - Restricted
IMDb
Trailer	Watch The Trailer
Run Time	73 minutes
Aspect Ratio	1.85:1
Cast	Courteney Cox, James Le Gros, Michael Ealy
Director	Greg Harrison
Genre	DRAMA,MYSTERY,THRILLER
Run Time	78 minutes
Width	5.25 inches    (convert)
Height	0.75 inches    (convert)
Length	7.5 inches    (convert)
Weight	20 hundredths pounds    (convert)
Binding	Dvd
Release Year	2004
Format	Multiple Formats, AC-3, Closed-captioned, Color, Dolby, NTSC, Subtitled, Widescreen
Run Time	78 minutes
Long Description	When her boyfriend is shot to death in a robbery, LA photographer Sopie Jacobs tries her hardest to put the event behind her. But as she struggles to get over the murder, Sophie's life begins to change, leaving her clueless as to what's coming. But worst of all, the line between reality and fantasy is beginning to shatter.
Similar Items	0625828470004: Mary Higgins Clark Collection (7-Disc): He Sees You When You're Sleeping / A Crime Of Passion / Befo 0096009665890: Hallmark 4-Film Collector's Set 0043396324749: High Noon 0043396324718: Northern Lights 0043396289512: Angels Fall / Blue Smoke 0043396212220: Carolina Moon 0031398830320: Haven't We Met Before 0027616875006: January Man
Created	10-08-2013 1:12:41am
Modified	08-02-2023 12:11:04am
MD5	0c7bb015f05999023b3bfd0884a308eb
SHA256	47eff9275304e79d64aca3361dee75dd0d5ef71f6810ef9c3c9c798e4278ecc8
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Query Time	0.0247459

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.