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EAN-139780785162131   EAN-13 barcode 9780785162131
Product NamePunisher By Rick Remender Omnibus
CategoryBook / Magazine / Publication
Short DescriptionHeight:0 inches / Length:0 inches / Weight:0 pounds / Width:0 inches
Amazon.comA Buy on Amazon ~ 0785162135
SKUACOMMP2_BOOK_USEDVERYGOOD_0785162135
ModelFBA-|283348
Price New123.00 US Dollars    (curriencies)
Price Used127.48 US Dollars    (curriencies)
Width1.75 inches    (convert)
Height11.25 inches    (convert)
Length7.75 inches    (convert)
Weight83.04 ounces    (convert)
AuthorRick Remender, Marjorie Liu, Daniel Way
Page Count760
BindingHardcover
Published07/18/2012
FeaturesUsed Book in Good Condition
Long DescriptionRick Remender's Punisher mega-arc is collected into one oversized volume! Frank Castle has dedicated his life to hunting down and killing evil men. So when Norman Osborn becomes the head of US security, the Punisher sets about taking Osborn down. But when his assassination attempt fails, Frank finds himself in Osborn's crosshairs. The Hood resurrects several longdead super villains and sends them against Frank ... but it is the twisted son of Wolverine who manages to kill the Punisher. With his remains stitched back together, the Punisher is reborn as the terrifying Franken-Castle! COLLECTING: PUNISHER 1-16, ANNUAL 1; DARK REIGN: THE LIST - PUNISHER; FRANKEN-CASTLE 17-21; DARK WOLVERINE 88-89; PUNISHER: IN THE BLOOD 1-5
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Created03-10-2013 1:51:42am
Modified05-01-2020 1:27:47am
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SHA256c602d218752affa72765815c78d1b30c58757108b03448ea3dde2ba2aa090e8d
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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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