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EAN-139780618485178   EAN-13 barcode 9780618485178
Product NameLearning To Speak Alzheimer's: A Groundbreaking Approach For Everyone Dealing With The Disease
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionPaperback
Amazon.comA Buy on Amazon ~ 0618485171
SKU0717-WS0402-A02005-0618485171
Price New7.08 US Dollars    (curriencies)
Price Used1.87 US Dollars    (curriencies)
Width0.56 inches    (convert)
Height8.25 inches    (convert)
Length5.5 inches    (convert)
Weight8.96 ounces    (convert)
AuthorJoanne Koenig Coste
Page Count256
BindingPaperback
Published09/08/2004
Long DescriptionMore than four million Americans suffer from Alzheimer’s, and as many as twenty million have close relatives or friends with the disease. Revolutionizing the way we perceive and live with Alzheimer’s, Joanne Koenig Coste offers a practical approach to the emotional well-being of both patients and caregivers that emphasizes relating to patients in their own reality. Her accessible and comprehensive method, which she calls habilitation, works to enhance communication between carepartners and patients and has proven successful with thousands of people living with dementia. Learning to Speak Alzheimer’s also offers hundreds of practical tips, including how to · cope with the diagnosis and adjust to the disease’s progression · help the patient talk about the illness · face the issue of driving · make meals and bath times as pleasant as possible · adjust room design for the patient’s comfort · deal with wandering, paranoia, and aggression
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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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