Image
EAN-135099967950454   EAN-13 barcode 5099967950454
Product NameLouie Giglio - How Great is Our God
CategoryElectronics / Photography: A/V Media: Movie
Amazon.comA Buy on Amazon ~ B0071AD9R8
Price New5.99 US Dollars    (curriencies)
Price Used3.55 US Dollars    (curriencies)
Aspect Ratio1.33:1
CastLouie Giglio
GenreFAITH_&_SPIRITUALITY
Width5.4 inches    (convert)
Height0.25 inches    (convert)
Length7.4 inches    (convert)
Weight3.2 ounces    (convert)
BindingDvd
FormatMultiple Formats, Color, NTSC
Published06/25/2016
Run Time51 minutes
Features
  • DVD
  • Giglio Louie
  • EMI / SIXSTEP RECORDS
Long DescriptionOur life is a miracle, and the creator of the universe knows each of us
by name. He s big enough to breathe out stars, yet intricate enough
to fashion together the trillions of cells that make up every facet of
who you are. And He cares about each of us and promises to carry us
through. He will hold onto you and hold you together, giving strength to
those who hope in His unfailing love.
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Created03-09-2013 3:01:32am
Modified05-22-2019 6:11:31am
MD53e77153efe49cb96ca521387ec25cf35
SHA25636b01d5587df836cea9b4f13324830e7dda108f636aa3da18b9eb89bd8d4ea51
Search Googleby EAN or by Title
Query Time0.0144050

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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