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EAN-130011575000098   EAN-13 barcode 0011575000098
UPC-A011575000098   UPC-A barcode 011575000098
UPC-E01157598   UPC-E barcode 01157598
BrandMonoprice
Product NameMonoprice USB-C DVI Multiport Adapter - White, With USB 3.0 Connectivity & Mirror Display Resolutions Up To 1080p @ 60hz - Select Series
CategoryAutomotive: Parts / Accessories
Short DescriptionThe versatility of the USB-C port means that it can perform several functions, including video output and power input. But what if you need to use a second display for extended periods of time beyond what you can expect from your laptop's battery lif
Model115759
Created07-15-2021 1:04:30am
Modified07-15-2021 1:06:35am
MD5659c53a6809d9fa62f31c5d89c1a5e4e
SHA256b4b5a641d6008fcc3a22b2a61479e2b4814153057716adb537b933b0aac11884
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Query Time0.0055089

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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