As @vforchi said:

> The ANSI standard `||` is supported only by Oracle and Postgres: MySQL uses
> `CONCAT` and SQLServer uses `+`.

_This commit resolves the issue #70 ._

In TestPgSphereTranslator, two strings are compared
containing (double) floating point numbers. These numbers are slightly
different with different Java versions. To overcome this, only the
first eight fractional digits are compared.

this table is declared with an alias. Instead, the table alias must be used.

Note: This problem occurred only when ADQLParser was used with a DBChecker.

This commit fixes the GitHub issue #53

In the resulting SQL query, if there are an alias on the joined tables, these
aliases must be used in the ON clause (instead of the full table name).

For instance, the following ADQL query:

```sql
  SELECT *
  FROM tableA AS a NATURAL JOIN tableB AS b;
```

should be translated into the following SQL:

```sql
  SELECT *
  FROM tableA AS a
    INNER JOIN tableB AS b
      ON a.id = b.id
```

This commit complete the resolution of the Pull Request #16
(more details about the issue can be got in there)

a qualified column name should be allowed, but still no column index should be.

deals with NATURAL JOINs and JOINs using the keyword USING so that being
supported by SQL Server. Basically, they are translated as a list of ON
conditions.
Warning: This translator is just guaranteed to solve the NATURAL and USING
issue. Support for datatypes conversion and case sensitivity has to be
reviewed. Besides no geometrical function is translated for SQL Server.

functions must be casted into NUMERIC. Otherwise Postgres rejects the query.

Now, all occurences of ' are replaced by '' in the SQL translation.

[ADQL,TAP] Add geometry format in output and correct upload of STC-S regions. Geometrical type conversion from and into a DB type is now required in all JDBCTranslator. This allows formatting of geometrical column value coming from the database, but also the translation of STC-S expressions provided in uploaded table into geometrical column values.