Image
EAN-130013555009206   EAN-13 barcode 0013555009206
UPC-A013555009206   UPC-A barcode 013555009206
Product NameVanco International 280738 Single IR Emitter for Home Theater IR Repeater Systems
LanguageEnglish
CategoryHardware
Amazon.comA Buy on Amazon ~ B006BCWYR8
Model280738
Price New6.33 US Dollars    (curriencies)
Width0.5 inches    (convert)
Height1.25 inches    (convert)
Length3.75 inches    (convert)
Weight4 hundredths pounds    (convert)
BindingTools & Home Improvement
Features
  • Repeats IR commands to ensure hidden home theater devices receive signals
  • Small, low-profile design
  • Sticks directly onto the AV equipment
Long DescriptionBy connecting directly to the AV devices you need to be controlled, thisi emitter (as part of a IR repeater system) provides "hardwired" IR control to your audio video gear.
Created05-22-2010
Modified09-26-2018 8:33:34pm
MD579e793ac92a54fb54b8dca86d8fa66e4
SHA2563354c7e16456b8cb0757ac2b8c57671d2ca2dcb7c6848bef37eb7d0af2a2f770
Search Googleby EAN or by Title
Search Amazonby EAN or by Title
Query Time0.0020089

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.

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