String in MySQL are columns with the following data types: char, varchar, binary, varbinary, blob, text, enum, set. The query below lists all columns with string data types.
Query
select col.table_schema as database_name,
       col.table_name,
       col.ordinal_position as column_id,
       col.column_name,
       col.data_type,
       col.character_maximum_length as maximum_length,
       col.character_set_name
from information_schema.columns col
join information_schema.tables tab on tab.table_schema = col.table_schema
                                   and tab.table_name = col.table_name
                                   and tab.table_type = 'BASE TABLE'
where col.data_type in ('char', 'varchar', 'binary', 'varbinary', 
                        'blob', 'tinyblob', 'mediumblob', 'longblob',
                        'text', 'tinytext', 'mediumtext', 'longtext'
                        'enum', 'set')
      and col.table_schema not in ('information_schema', 'sys',
                                   'performance_schema', 'mysql')
     --and col.table_schema = 'database_name' -- put your database name here
order by col.table_schema,
         col.table_name,
         col.ordinal_position;
Columns
- database_name - name of the database (schema)
- table_name - name of the table
- column_id - column position in table
- column_name - name of the column
- data_type - type of data
- maximum_length - maximum length in characters
- character_set_name - character set name
Rows
- One row represents one column with a string data type
- Scope of rows: all columns containing string data types in the database (schema)
- Ordered by database name, table name and position in table
Sample results

 
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                 
                                                             
                                                             
                                                             
                                                             
                                                                 
                                                             
                                                             
                                                                 
                                                             
                                                             
                                                             
                                                             Bart Gawrych
                                                                        Bart Gawrych
                                 MySQL
                                                                MySQL
                                 SQL Server
                                                                                                SQL Server
                                             Azure SQL Database
                                                                                                Azure SQL Database
                                             Oracle database
                                                                                                Oracle database
                                             Snowflake
                                                                                                Snowflake
                                             IBM Db2
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                                             Teradata
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                                             Vertica
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                                             PostgreSQL
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                                             MariaDB
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