ODBC Data Collector Features and Datatypes

ODBC collector Features

The following table outlines the features of the ODBC Data Collector.

Table 1.
FeatureCapability
Browse Source for TagsYes*(on a ODBC server that supports browsing)
Browse Source for Tag AttributesYes
Polled CollectionNo
Minimum Poll Interval100 ms (milliseconds)
Unsolicited CollectionYes
Time stamp Resolution1 ms
Floating Point DataYes
Integer DataYes

String Data

Yes
Python Expression TagsNo
Time Assigned
Note: You must set this field to Source as the ODBC Data Collector unsolicited tags.
Quality
  • Good
  • Bad
Note: The ODBC collector does not support OPC Quality and OPC Subquality.

Supported Data Types

The following data types are supported:

Historian Data Type ODBC Source Datatype
ihScaled NA
ihFloat SingleFloat
ihDoubleFloat DoubleFloat
ihInteger SingleInteger
ihDoubleInteger DoubleInteger
ihFixedString NA
ihVariableString NA
ihBlob NA
ihTime NA
ihInt64 NA
ihUInt64 NA
ihUInt32 NA
ihUInt16 NA
ihByte Byte
ihBool NA
Note: The ODBC Source data type should be mapped with the corresponding Historian data type. For the data types which are NA, if the source contains data related to that Historian data type, user should include the corresponding ODBC Source data type in the Mapping file. Example: If Source contains data of ihBlob Historian data type, you should include the corresponding Source data type in the mapping file.