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EAN-139780803273627   EAN-13 barcode 9780803273627
Product NameSummer Of Discovery
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionPaperback
Amazon.comA Buy on Amazon ~ 0803273622
SKU2152654360
Price New5.00 US Dollars    (curriencies)
Price Used0.99 US Dollars    (curriencies)
Long Description"A flashing black cloud rolled across the Nebraska prairie. Gaining speed, it rushed on the town. Dave never saw the storm coming." It is May 1939. David Fletcher is fourteen years old and living in dustbowl Nebraska. He and his buddy Ben Watson are determined to become archaeologists. Their ambitions are jump-started when the mysterious Mr. Daley arrives in their small town, hot on the trail of strange, giant arrowheads discovered by a gang of road workers. With Mr. Daley as mentor and guide, David and Ben spend the summer exploring the past. As the boys unearth the story of the Great Plains peoples, from the Ice Age hunters through the final days of the Indian Wars, their adventures become an introduction to the complex interactions between human culture and the natural world. Rich with details about the ways in which archaeologists reconstruct the past, Summer of Discovery is as informative as it is entertaining, offering an insider's look at this captivating field through the eyes of two engaging beginners.
Created11-08-2012 12:26:45pm
Modified05-01-2020 2:13:07am
MD5ea111aa6b4a0aec8d7e4dbcd719c5b75
SHA256a77fffc8db897097d4b2ebd5267e98ae1166f7a488d8d31ae41aacb0b6ec43c1
Search Googleby EAN or by Title
Query Time0.0052490

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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