Image
EAN-139780800719265   EAN-13 barcode 9780800719265
Product NameThe Christmas Shoppe
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionHeight:8.5 inches / Length:5.51 inches / Weight:0.55 pounds / Width:0.79 inches
Amazon.comA Buy on Amazon ~ 0800719263
SKUG9780800719265
Price New2.87 US Dollars    (curriencies)
Price Used0.67 US Dollars    (curriencies)
Width5.7 inches    (convert)
Height0.8 inches    (convert)
Length8.6 inches    (convert)
Weight9.44 ounces    (convert)
AuthorMelody Carlson
Page Count168
BindingHardcover
Published09/01/2011
FeaturesGreat product!
Long DescriptionThe small town of Parrish Springs is not ready for Matilda Honeycutt. A strange older woman with scraggly gray hair and jewelry that jangles as she walks, Matilda is certainly not the most likely person to buy the old Barton Building on the town's quaint main street. When it becomes apparent that her new shop doesn't fit the expectations of Parrish Springs residents, a brouhaha erupts. After all, Christmas is approaching, and the last thing the town needs is a junky shop run by someone who looks and acts like a gypsy. But as townsfolk venture into the strange store, they discover that old memories can bring new life and healing. Once again, Melody Carlson delivers a Christmas story that will touch hearts and delight the senses. Sure to be a classic, The Christmas Shoppe is filled with the special magic the best Christmas stories share--that intangible mixture of nostalgia, joy, and a little bit of magic.
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Created11-19-2012 7:56:15am
Modified05-01-2020 1:57:06am
MD5f644f1800c4719712fef35985b6d2c80
SHA25622d296709494165f91eafd7b6c1910b9e244d346fc9911f5784741bb600811d4
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Query Time0.0230060

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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