Mysql – Optimizing a query so MySQL will use the indexes for the joins

Some context: migrating some data from a 3rd party cloud MongoDB platform service into MySQL.

Wrote a query but it's very slow. Here's the query:

SELECT Table1.*, (long list of fields for each Table2, Table3, Table4) FROM Table1
JOIN Table2 on creator = Table2.objectId JOIN Tabl3 on Table1.location
= Table3.objectId JOIN Table4 on Table1.campaign = Table4.objectId WHERE Table1.campaign = 'some_object_id'

Here's the explain:

+----+-------------+------------------+--------+---------------------------------------+-------------+---------+----------------------------------------+------+-------------+
| id | select_type | table            | type   | possible_keys                         | key         | key_len | ref                                    | rows | Extra       |
+----+-------------+------------------+--------+---------------------------------------+-------------+---------+----------------------------------------+------+-------------+
|  1 | SIMPLE      | Table4         | const  | PRIMARY                               | PRIMARY     | 12      | const                                  |    1 | NULL        |
|  1 | SIMPLE      | Table2            | ALL    | PRIMARY                               | NULL        | NULL    | NULL                                   |  270 | NULL        |
|  1 | SIMPLE      | Table1 | ref    | location_idx,campaign_idx,creator_idx | creator_idx | 13      | parseObjects.Table2.objectId            |    1 | Using where |
|  1 | SIMPLE      | Table3 | eq_ref | PRIMARY                               | PRIMARY     | 12      | parseObjects.Table1.location |    1 | NULL        |
+----+-------------+------------------+--------+---------------------------------------+-------------+---------+----------------------------------------+------+-------------+
4 rows in set (0.29 sec)

Table2, Table3, and Table4 all have objectId as their primary key.

Here's the profile

+----------------------+----------+
| Status               | Duration |
+----------------------+----------+
| starting             | 0.000287 |
| checking permissions | 0.000011 |
| checking permissions | 0.000008 |
| checking permissions | 0.000007 |
| checking permissions | 0.000010 |
| Opening tables       | 0.000036 |
| init                 | 0.000113 |
| System lock          | 0.000016 |
| optimizing           | 0.000023 |
| statistics           | 0.000123 |
| preparing            | 0.000030 |
| executing            | 0.000009 |
| Sending data         | 5.481633 |
| end                  | 0.000023 |
| query end            | 0.000014 |
| closing tables       | 0.000027 |
| freeing items        | 0.000027 |
| cleaning up          | 0.000013 |
+----------------------+----------+
18 rows in set, 1 warning (0.13 sec)

This query is taking over 5.0 seconds on average, and I'm using a very small data size for testing: no table has more than 400 rows.