Rewrite cost computation for filesort operations

This is a rework of how filesort calculates costs to allow functions
like test_if_skip_sort_order() to calculate the cost of filesort to
decide between filesort and using a key to resolve ORDER BY.

Changes:
- Split cost calculation of qsort + optional merge sort and priority queue
  to dedicated functions.
- Fixed some wrong calculations of cost in old code (use of log() instead
  of log2()).
- Added costs realted to fetching the rows if addon fields are not used.
- Updated get_merge_cost() to take into account that we are going to
  read data from temporary files in big chuncks (DISK_CHUNCK_SIZE (64K) and
  not in IO_SIZE (4K).
- More code documentation including various variables in Sort_param.

One effect of the cost update is that the cost of priority queue
with addon field has decreased slightly and is used in more cases.
When the rowid is large (like with InnoDB where rowid is the priority key),
using addon fields is in many cases preferable.

Reviewer: Monty

mysql-test/main/fetch_first.result

@@ -435,14 +435,57 @@ id	first_name	last_name	score
 7	Bob	Trasc	9
 2	John	Doe	6
 6	John	Elton	8.1
+analyze FORMAT=JSON
 select * from t1
-order by first_name, last_name
+order by first_name, last_name, score
+offset 2 rows
+fetch first 3 rows only;
+ANALYZE
+{
+  "query_optimization": {
+    "r_total_time_ms": "REPLACED"
+  },
+  "query_block": {
+    "select_id": 1,
+    "r_loops": 1,
+    "r_total_time_ms": "REPLACED",
+    "nested_loop": [
+      {
+        "read_sorted_file": {
+          "r_rows": 5,
+          "filesort": {
+            "sort_key": "t1.first_name, t1.last_name, t1.score",
+            "r_loops": 1,
+            "r_total_time_ms": "REPLACED",
+            "r_limit": 5,
+            "r_used_priority_queue": true,
+            "r_output_rows": 6,
+            "r_sort_mode": "sort_key,addon_fields",
+            "table": {
+              "table_name": "t1",
+              "access_type": "ALL",
+              "r_loops": 1,
+              "rows": 8,
+              "r_rows": 8,
+              "r_table_time_ms": "REPLACED",
+              "r_other_time_ms": "REPLACED",
+              "filtered": 100,
+              "r_filtered": 100
+            }
+          }
+        }
+      }
+    ]
+  }
+}
+select * from t1
+order by first_name, last_name, score
 offset 2 rows
 fetch first 3 rows only;
 id	first_name	last_name	score
 2	John	Doe	6
 6	John	Elton	8.1
-5	John	Smith	7
+4	John	Smith	6
 select * from t1
 order by first_name, last_name
 offset 2 rows
@@ -454,7 +497,7 @@ id	first_name	last_name	score
 4	John	Smith	6
 5	John	Smith	7
 select * from t1
-order by first_name, last_name
+order by first_name, last_name, score
 offset 3 rows
 fetch first 3 rows only;
 id	first_name	last_name	score

mysql-test/main/fetch_first.test

@@ -349,8 +349,15 @@ order by first_name, last_name
 offset 1 rows
 fetch first 3 rows with ties;
 
+--source include/analyze-format.inc
+analyze FORMAT=JSON
 select * from t1
-order by first_name, last_name
+order by first_name, last_name, score
+offset 2 rows
+fetch first 3 rows only;
+
+select * from t1
+order by first_name, last_name, score
 offset 2 rows
 fetch first 3 rows only;
 
@@ -360,7 +367,7 @@ offset 2 rows
 fetch first 3 rows with ties;
 
 select * from t1
-order by first_name, last_name
+order by first_name, last_name, score
 offset 3 rows
 fetch first 3 rows only;
 

mysql-test/main/order_by.result

@@ -3666,16 +3666,16 @@ t2.key1 = t1.a and t2.key1 IS NOT NULL
 ORDER BY
 t2.key2 ASC
 LIMIT 1)
-900-0-123456
-901-1-123456
-902-2-123456
-903-3-123456
-904-4-123456
-905-5-123456
-906-6-123456
-907-7-123456
-908-8-123456
-909-9-123456
+100-0-123456
+101-1-123456
+102-2-123456
+103-3-123456
+104-4-123456
+105-5-123456
+106-6-123456
+107-7-123456
+108-8-123456
+109-9-123456
 drop table t1,t2;
 # End of 10.3 tests
 #