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EAN-139780747590002   EAN-13 barcode 9780747590002
Product NameUnaccustomed Earth
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionHardcover
Amazon.comA Buy on Amazon ~ 0747590001
SKUNU-BER-00135818
Price New13.96 US Dollars    (curriencies)
Price Used2.67 US Dollars    (curriencies)
Width1.26 inches    (convert)
Height8.66 inches    (convert)
Length5.79 inches    (convert)
AuthorJhumpa Lahiri
BindingHardcover
Published09/24/2017
Long DescriptionKnopf Canada is proud to welcome this bestselling, Pulitzer Prize—winning author with eight dazzling stories that take us from Cambridge and Seattle to India and Thailand as they explore the secrets at the heart of family life. In the stunning title story, Ruma, a young mother in a new city, is visited by her father who carefully tends her garden–where she later unearths evidence of a love affair he is keeping to himself. In “A Choice of Accommodations,” a couple’s romantic getaway weekend takes a dark turn at a party that lasts deep into the night. In “Only Goodness,” a woman eager to give her younger brother the perfect childhood she never had is overwhelmed by guilt, anguish and anger when his alcoholism threatens her family. And in “Hema and Kaushik,” a trio of linked stories–a luminous, intensely compelling elegy of life, death, love and fate–we follow the lives of a girl and boy who, one fateful winter, share a house in Massachusetts. They travel from innocence to experience on separate, sometimes painful paths, until destiny brings them together again years later in Rome. Unaccustomed Earth is rich with the author’s signature gifts: exquisite prose, emotional wisdom and subtle renderings of the most intricate workings of the heart and mind. It is the work of a writer at the peak of her powers.
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Created11-18-2012 10:09:24pm
Modified05-01-2020 12:29:25am
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SHA256e94c32d9cdc9709779e7b266e76caf9ac57afb04f06701091084a442241cfee2
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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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