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Data type mapping

The following table lists the mapping of JDBC data types to Java data types used in ARIS Process Mining.

Integer values from a JDBC database that are less than values of Long type are always imported as Long. That means that ARIS Process Mining does not support values of unsigned Long type.

If you select that a column of type DECIMAL or NUMERIC without decimal places should be converted to type LONG, make sure that this column contains only values greater than -263 and less than 263 (1 see below).

Some database vendors may use the JDBC data types in a way that does not comply with the JDBC standard, for example, if a database returns the JDBC data type BIGINT but contains values that are less than -263 or greater than 263 (1 see below). This may lead to errors during data extraction. In such a case, use VIEWS and convert such a column to a JDBC data type that corresponds to the JDBC standard used by this database.

Data type mapping

JDBC data type

Usable as foreign key

Data type in ARIS Process Mining

Remarks

BIGINT

Yes

Long

BIT

Yes

Long

CHAR

Yes

Text

DATE

No

Date

Milliseconds since 01.01.1970 00:00:00 is interpreted as UTC.

DECIMAL (with decimal digits)

No

Double

DECIMAL (without decimal digits)

Yes

(1 see below)

Long, Double or Text

Conversion can be configured.

DOUBLE

No

Double

FLOAT

No

Double

INT/INTEGER

Yes

Long

LONGNVARCHAR

Yes

Text

LONGVARCHAR

Yes

Text

Cannot be used as foreign key in Oracle.

NCHAR

Yes

Text

NCLOB

Yes

Text

NUMERIC (with decimal digits)

No

Double

NUMERIC (without decimal digits)

Yes

(1 see below)

Long, Double or Text

Conversion can be configured.

NVARCHAR

Yes

Text

REAL

No

Double

SMALLINT

Yes

Long

STRING

Yes

String

TIME

No

Long

Milliseconds since 01.01.1970 00:00:00 is interpreted as UTC.

TIMESTAMP

No

Date

Milliseconds since 01.01.1970 00:00:00 is interpreted as UTC.

TINYINT

Yes

Long

VARCHAR

Yes

Text

1 This JDBC data type can only be used as relation if the Long or Text data type is selected in ARIS Process Mining.