Image
EAN-139780452296084   EAN-13 barcode 9780452296084
Product NameOneness With All Life: Inspirational Selections From A New Earth
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionPaperback
Amazon.comA Buy on Amazon ~ 0452296080
SKUI9780452296084
Price New6.92 US Dollars    (curriencies)
Price Used6.39 US Dollars    (curriencies)
Width0.4 inches    (convert)
Height8 inches    (convert)
Length5.1 inches    (convert)
Weight38.88 ounces    (convert)
AuthorEckhart Tolle
Page Count192
BindingPaperback
Published10/27/2009
FeaturesPlume Books
Long Description #1 New York Times bestselling author Eckhart Tolle highlights the most inspiring and beautiful insights of A New Earth

When Oprah announced A New Earth as her 61st Book Club selection, it skyrocketed to #1 on the New York Times bestseller list, selling over five million copies in paperback and remaining at the top of the list for twenty-two consecutive weeks . In A New Earth, renowned spiritual teacher Eckhart Tolle describes how our current ego-based state of consciousness operates. The purpose of this book is to bring about a shift in consciousness, or in his words, an awakening. An essential part of this awakening is the recognition of the ego, and our attachment to things, the past, and enemies.

In Oneness With All Life, Eckhart Tolle has picked the essential phrases and paragraphs-the gems of the book-that he feels are most important and reorganized them so readers can focus on the most powerful ideas. Beautifully packaged with evocative artwork and design, it is the perfect gift for anyone with a well-worn copy of A New Earth who wants deeper insight into this seminal work.
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Created02-26-2012 9:58:05pm
Modified10-05-2017 10:31:02am
MD5f80fe3c656e6ec04c5e304bc9419a805
SHA256984ad1cce78c9837f4dfa10e77717e0b11bbb3c2c85789abcade25ec8694ae32
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Query Time0.0024209

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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