Image
EAN-139780762770847   EAN-13 barcode 9780762770847
Product NameFly Tying With Common Household Materials (Fly Tyer)
LanguageEnglish
CategoryBook / Magazine / Publication
Amazon.comA Buy on Amazon ~ 0762770848
SKUACOM-INT_BOOK_NEW_0762770848
Price New13.97 US Dollars    (curriencies)
Price Used16.31 US Dollars    (curriencies)
Width0.36 inches    (convert)
Height8.99 inches    (convert)
Length6.37 inches    (convert)
Weight10.88 ounces    (convert)
AuthorJay Fullum
Page Count176
BindingSpiral-Bound
Published11/22/2011
Long Description

Novice fly fisherman start fly tying with a predictable set of materials. Their benches are neatly arranged with small bags of elk hair, pheasant feathers, stray pieces of chenille and yarn. But eventually they find that not only are these materials more expensive than they need to be, they are also largely unnecessary. And so they starts making substitutions, using trial and error to gradually build up a bench of funky, personalized materials that work just as well as what the “experts” recommend.

For the first time, here is a book that truly demystifies fly tying, making it accessible to any fisherman with a vice, a hook, a few dabs of glue, and a handful of twisty-ties. Tying legend Jay “Fishy” Fullum brings together a lifetime of substitution experience to give invaluable advice on appropriate substitution materials. He describes how to find them and make them tier friendly, and how to turn them into flies that are practically guaranteed to catch fish.

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Created11-21-2012 6:08:20pm
Modified08-17-2017 3:03:21pm
MD543343e4396a488153aeb2fa32ae50f86
SHA25690901c71f008bd99dcb35b4342a26fefb726a834336a86c5f243686b4303460a
Search Googleby EAN or by Title
Query Time0.0079188

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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