MySQL Load Data Infile extremely slow I have searched in Google, in StackOverflow, I have tested many methods, but I really don't understand why the query is extremely slow.

I have a CSV file with this structure with 94K rows:

name;email;employer;city;state;born;active;group;


with two load data queries. One for group (with dummy columns and with name in the last) and other query to import the columns ignoring the last.

--- FIRST (It is running for 12 hours and did not finish yet.)
LOAD DATA INFILE 'C:/path/file.csv'
    REPLACE INTO TABLE group 
    FIELDS TERMINATED BY ';' OPTIONALLY ENCLOSED BY '"' 
    LINES TERMINATED BY '\r\n' IGNORE 1 LINES
    (@dummy, @dummy, @dummy, @dummy, @dummy, @dummy, @dummy, name)
    SET id = NULL, active = 1;

--- SECOND (not begin because the first not ended)
LOAD DATA INFILE 'C:/path/file.csv'
    REPLACE INTO TABLE subscriber 
    FIELDS TERMINATED BY ';' OPTIONALLY ENCLOSED BY '"' 
    LINES TERMINATED BY '\r\n' IGNORE 1 LINES
    (name, email, employer, city, state, born, active, @dummy)
    SET id = NULL;


Ok, I don't have the best computer, but the file not is too large.
I have a Windows 64bits with 4GB RAM, using XAMPP;

In my.ini I have this settings:

innodb_buffer_pool_size = 2G
innodb_log_file_size = 256M


Please, can someone help me? Sorry my english and thank you!

Edit

CREATE TABLE group (
    id INT(10) UNSIGNED NOT NULL AUTO_INCREMENT, 
    name VARCHAR(80) NOT NULL, 
    created TIMESTAMP NULL DEFAULT CURRENT_TIMESTAMP, 
    active TINYINT(1) UNSIGNED DEFAULT "1", 
    PRIMARY KEY (id), 
    UNIQUE KEY name_UNIQUE (name)
) ENGINE=INNODB DEFAULT CHARSET=utf8 CHECKSUM=1 DELAY_KEY_WRITE=1 ROW_FORMAT=DYNAMIC
REPLACE is DELETE any or all rows that match, then INSERT the one row.

For REPLACE to be useful, you need an index, preferrably UNIQUE or PRIMARY so that it knows what to DELETE.

Do you have an index on group; that is what the first REPLACE needs.  Or am I confused about the columns?

Also, ... Consider whether it would be better to use INSERT IGNORE instead of REPLACE.  The semantics is similar, but different.

If those suggestions do not work, then I recommend, LOADing the CSV files into temp tables, then perform queries to copy the data into the 'real' tables.