Image
EAN-139780152025533   EAN-13 barcode 9780152025533
Product NameThe Moffat Museum
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionPaperback
Amazon.comA Buy on Amazon ~ 0152025537
SKUY9780152025533
Price New1.55 US Dollars    (curriencies)
Price Used0.95 US Dollars    (curriencies)
Width0.66 inches    (convert)
Height7.63 inches    (convert)
Length5.13 inches    (convert)
Weight8.16 ounces    (convert)
AuthorEleanor Estes
Page Count256
BindingPaperback
Published04/01/2001
Features
  • ISBN13: 9780152025533
  • Condition: USED - Very Good
  • Notes: 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!
Long Description
There has never been a museum in Cranbury...until now.
Among its treasures are the first bike each of the Moffat kids rode, stardust from a meteor that fell to earth, a beautiful painting made by Sylvie, and-most spectacularly-Rufus, the Waxworks Boy, who is as funny as he is waxy. The museum is so interesting that Mr. Pennypepper even brings tourists to visit.
But the museum is really for Jane, Joey, and Rufus themselves, so they can remember all the good times they've had. Because life is changing for the Moffats.
Yet even if Sylvie gets married, or Joey goes off to work, or Rufus grows up, one thing will never change: The Moffats are still the sort to hilariously fill even the most ordinary day with extraordinary fun.
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Created02-26-2012 6:38:13pm
Modified10-08-2017 10:33:02am
MD5989b192ee22cc5c652ca173ae84519e3
SHA256719f2e486c161f85fc10a554a421c2c58e0611141e78292ae8f14a00ee790d6c
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Query Time0.0097549

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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