2.2.21. ADO data type

发布时间 : 2025-10-25 13:35:18 UTC      

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The following table lists the data type mappings between Access, SQL Server,and Oracle:

DataType Enum

Value

Access

SQLServer

Oracle

AdBigInt

20

BigInt (SQL Server 2000 +)

AdBinary

128

Binary TimeStamp

Raw*

AdBoolean

11

YesNo

Bit

AdChar

129

Char

Char

AdCurrency

6

Currency

Money SmallMoney

AdDate

7

Date

DateTime

AdDBTimeSta mp

135

DateTime (Access 97 (ODBC))

DateTime SmallDateTi me

Date

AdDecimal

14

Decimal*

AdDouble

5

Double

Float

Float

AdGUID

72

Replication ID (Access 97 (OLEDB)), (Access 2000 (OLEDB))

UniqueIdent ifier (SQL Server 7.0 +)

AdIDispatch

9

AdInteger

3

AutoNumber Integer Long

Identity (SQL Server 6.5) Int

Int*

AdLongVarBi nary

205

OLEObject

Image

Long Raw* Blob (Oracle 8.1.x)

AdLongVarCh ar

201

Memo (Access 97) Hyperlink (Access 97)

Text

Long* Clob (Oracle 8.1.x)

AdLongVarWC har

203

Memo (Access 2000 (OLEDB)) Hyperlink (Access 2000 (OLEDB))

NText (SQL Server 7.0 +)

NClob (Oracle 8.1.x)

AdNumeric

131

Decimal (Access 2000 (OLEDB))

Decimal Numeric

Decimal Integer Number SmallInt

AdSingle

4

Single

Real

AdSmallInt

2

Integer

SmallInt

AdUnsignedT inyInt

17

Byte

TinyInt

AdVarBinary

204

Replication ID (Access 97)

VarBinary

AdVarChar

200

Text (Access 97)

VarChar

VarChar

AdVariant

12

Sql_Variant (SQL Server 2000 +)

VarChar2

AdVarWChar

202

Text (Access 2000 (OLEDB))

NVarChar (SQL Server 7.0 +)

NVarChar2

AdWChar

130

NChar (SQL Server 7.0 +)

In Oracle 8.0.x- decimal and int equal to number and number(10) .

Principles, Technologies, and Methods of Geographic Information Systems

 102

In recent years, Geographic Information Systems (GIS) have undergone rapid development in both theoretical and practical dimensions. GIS has been widely applied for modeling and decision-making support across various fields such as urban management, regional planning, and environmental remediation, establishing geographic information as a vital component of the information era. The introduction of the “Digital Earth” concept has further accelerated the advancement of GIS, which serves as its technical foundation. Concurrently, scholars have been dedicated to theoretical research in areas like spatial cognition, spatial data uncertainty, and the formalization of spatial relationships. This reflects the dual nature of GIS as both an applied technology and an academic discipline, with the two aspects forming a mutually reinforcing cycle of progress.