Image
EAN-130000000006545   EAN-13 barcode 0000000006545
UPC-A000000006545   UPC-A barcode 000000006545
UPC-E00065405   UPC-E barcode 00065405
Product Name1500 Psi Cold Water Electric Hand Carry Pressure Washer
LanguageEnglish
CategoryHardware: Tools
Amazon.comA Buy on Amazon ~ B0035HSB6K
Long Description1500 Features: -Triplex plunger pump with ceramic plungers and stainless steel valves.-35' Power cord with ground fault interrupter.-Adjustable pressure.-Powder-coated skid.-Mechanical thermal relief valve.-Trigger gun.-36'' Two piece wand.-Multi-reg zero to sixty degree pattern tip with hi-low for chemical injection.-Non-marking hose.-Maximum PSI: 1500 PSI.-Adjustable pressure: 103.5 PSI 1500 PSI.-Phase: single.-Thermal relief: mechanical.-Maximum pump temperature: 140 degrees fahrenheit.-Water flow: 3.0 GPM / 11.4 Ipm.-Water temperature: cold water.-Chemical injection: yes.-Hose: 50 feet.-Nozzle: multi-reg 0-60 degree pattern tip. Specifications: -Engine: 3 HP.-Volts: 230 volt / 20 amp. Dimensions: -Dimensions: 15 H X 16 W X 24 D.
Created10-03-2011 7:27:59am
Modified02-20-2017 11:32:02am
MD53a76e312107b3220f20c868ed78d8243
SHA25682fea45d900a2d617678be1adf38224a2d7e44ebe7fa864ec44a493ce2125f56
Search Googleby EAN or by Title
Query Time0.0016179

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.

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