Image
EAN-130000000536936   EAN-13 barcode 0000000536936
UPC-A000000536936   UPC-A barcode 000000536936
Product NamePoetic Pears Wall Hanging - 26" X 47"
LanguageEnglish
CategoryHome: Furniture / Decoration
Amazon.comA Buy on Amazon ~ B002JT9MH2
Long DescriptionThe large sizes , vibrant colors and extremely high clarity make our jacquard woven heirloom tapestries a truly cherished item. With famous art from the classic masters to todays most popular artists, you're sure to find what you're looking for. This finely crafted wall tapestry is made in the USA by skilled artisans, Jaquard Woven & Hand Finished. An iron rod and finial are included, in addition to brackets and hardware for easy hanging (except for Tapestries which come with wooden rods). An additional rod is sewn inside the bottom to properly weigh down the tapestry.
Created07-01-2008
Modified06-29-2020 4:03:49am
MD563bbf107ec53da55f21d831cee3c8d55
SHA25636052e297747ea1e26c70fb8f2afe8d2db6b255d4d59d07cb7bc1587fcb2bb5e
Search Googleby EAN or by Title
Query Time0.0047500

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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