The following table shows how data types supported by the driver map to JDBC data types.

Note: Default mappings can be overridden using the Schema Tool. See "Defining Columns" for additional information.
Table 1. Default Mapping for MongoDB Data Types
MongoDB Data Type JDBC Data Type
Array1 LONGVARCHAR (-1)
Bigint BIGINT (-5)
Bindata VARBINARY (-3)
Boolean BOOLEAN (16)
Date TIMESTAMP (93)
Decimal1282 DECIMAL (3)
Double DOUBLE (8)
Integer INTEGER (4)
Object3 LONGVARCHAR (-1)
ObjectID4 VARCHAR (12)
String5, 6, 7 CHAR (1), VARCHAR (12), or LONGVARCHAR (-1)
1 Complex data types can be returned as strings in the JSON format, or can be normalized such that nested elements are returned as columns in a relational table.
2 The driver reports a precision of 68 digits this type; however, the native type limits the maximum number of digits before or after the decimal to 34 digits.
3 Complex data types can be returned as strings in the JSON format, or can be normalized such that nested elements are returned as columns in a new logical table.
4 The CAST_TO_NATIVE function escape may be needed to select or insert a value of the ObjectID type when MongoDB has inconsistent native types for a given field. See "Default Mapping of Columns with Inconsistent Native Data Types" and "CAST_TO_NATIVE Function Escape" for details.
5 When the driver discovers a column with a String size less than or equal to 4000 characters, String is mapped as VARCHAR and the precision is 4000 characters. When a column with a String size greater than 4000 characters is discovered, String is mapped as LONGVARCHAR and precision is 16 MB.
6 During the initial discovery and normalization process, you can use the DefaultVarcharSize configuration option to specify the default length of fields that are discovered and mapped as Varchar by the driver. If the driver discovers a field with String data of a greater length, the String data is truncated to the length of the specified value. See "DefaultVarcharSize (Configuration Option" for details.
7 You can map String to CHAR, VARCHAR, or LONGVARCHAR, regardless of the column size, using the Schema Tool. See "Creating and Customizing Schemas Using the DataDirect Schema Tool" and "Defining Columns" for details.