Is there a way to use ON DUPLICATE KEY to Update all that I wanted to insert?

use REPLACE INTO

The meaning of REPLACE INTO is that IF the new record presents new key values, then it will be inserted as anew record.

IF the new record has key values that match a pre-existing record,then the key violation will be ignored and the new record will replace the pre-existing record.

Unfortunately not.

You can get half-way there by not having to repeat the value:

INSERT INTO `tableName` (`a`,`b`,`c`) VALUES (1,2,3)
  ON DUPLICATE KEY UPDATE `a`=VALUES(`a`), `b`=VALUES(`b`), `c`=VALUES(`c`);

But you still have to list the columns.

per @BhendiGawaar's comment on @Lightness Races in Orbit's answer, here is the MySQL 8.019+ version:

INSERT INTO t1 (a,b,c) VALUES (1,2,3),(4,5,6) AS new
  ON DUPLICATE KEY UPDATE c = new.a+new.b;

OR

INSERT INTO t1 (a,b,c) VALUES (1,2,3),(4,5,6) AS new(m,n,p)
  ON DUPLICATE KEY UPDATE c = m+n;

Works with set as well:

INSERT INTO t1 SET a=1,b=2,c=3 AS new
  ON DUPLICATE KEY UPDATE c = new.a+new.b;

INSERT INTO t1 SET a=1,b=2,c=3 AS new(m,n,p)
  ON DUPLICATE KEY UPDATE c = m+n;

Copied directly from MySQL Docs

The deprecation warning about the use of VALUES:

The use of VALUES() to refer to the new row and columns is deprecated beginning with MySQL 8.0.20, and is subject to removal in a future version of MySQL. Instead, use row and column aliases, as described in the next few paragraphs of this section.

If it is useful, I made a query to avoid writing by hand the last part of the "on duplicate" query, for versions >= 5.0:

SELECT GROUP_CONCAT( CONCAT(COLUMN_NAME,"=values(", COLUMN_NAME,")") SEPARATOR ", ") FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_SCHEMA = 'database_name' AND TABLE_NAME = 'table_name';

and its output is this:

a=values(a), b=values(b), c=values(c), d=values(d)

on a table that has columns a,b,c and d, so you can append to the first part of the query:

INSERT INTO `tableName` (`a`,`b`,`c`, `d`) VALUES (1,2,3,4) ON DUPLICATE KEY UPDATE a=values(a), b=values(b), c=values(c), d=values(d)

UPDATE: For a very long list of columns you may see a truncated output, you may use this statement before the query above (thanks Uncle iroh):

SET SESSION group_concat_max_len = 1000000;