Since the introduction of JSON path indices tuple_init_field_map, which
was quite a simple routine traversing a tuple and storing its field data
offsets in the field map, was renamed to tuple_field_map_create and
optimised for working with JSON path indices.

The main difference is that tuple format fields are now organised in a
tree rather than an array, and the tuple itself may have indexed fields,
which are not plain array members, but rather members of some sub-array
or map. This requires more complex iteration over tuple format fields
and additional tuple parsing.

All the changes were, however, unneeded for tuple formats not supporting
fields indexed by JSON paths.

Rework tuple_field_map_create so that it doesn't go through all the
unnecessary JSON path-related checks for simple cases and restore most
of the lost performance.

Below are some benchmark results for the same workload that pointed to
the degradation initially.
Snapshot recovery time on RelWithDebInfo build for a 1.5G snapshot
containing a single memtx space with one secondary index over 4 integer
and 1 string field:

        Version            | Time (s) | Difference relative to 1.10
---------------------------|----------|----------------------------
1.10 (the golden standard) |    28    |             -/-
2.x (degradation)          |    39    |            + 39%
2.x (patched)              |    31    |            + 11%

Profile shows that the main difference is in memtx_tuple_new due to
tuple_init_field_map/tuple_field_map_create performance difference.

Numbers below show cumulative time spent in tuple_init_field_map (1.10) /
tuple_field_map_create (unpatched) / tuple_field_map_create (patched).
2.44 s / 8.61 s / 3.19 s

More benchmark results can be seen at #4774

Part of #4774