Image
EAN-139780590386661   EAN-13 barcode 9780590386661
Product NameMice Squeak, We Speak
CategoryBook / Magazine / Publication
Amazon.comA Buy on Amazon ~ 0590386662
SKU1001511844
Price New1.86 US Dollars    (curriencies)
Price Used0.99 US Dollars    (curriencies)
Weight4.8 ounces    (convert)
AuthorArnold Shapiro
BindingPaperback
Published09/26/1999
Long Description
Now in a board book format, this delightful poem with charming folk-art style pictures from renowned illustrator Tomie dePaola is a perfect first book for sharing with young children.

"The sounds that animals make is the joyful subject of this very simple rhyme in the three verses and dePaola's exuberant illustrations in his best bold folk-art style will have kids joining in and shouting out the words." (Booklist, starred review)

"Simplicity is the soul of this toddler-friendly poem about how animals and humans communicate. It's also at the heart of the crayon-bright artwork, a model of merry restraint." (Publishers Weekly)
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Created09-23-2012 2:06:22pm
Modified09-26-2017 7:14:00am
MD5c2dc9964dac12ddc16d25710d10eb130
SHA256e21abfc044ee4148c99d601fc0b25e7669b6f19e5dc3cbaca1518b3c40242ee8
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Query Time0.0120039

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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