Point Selector*¶

This stage selects the points that are required for stream data processing from the Kafka topics of the organization unit. The functions of this stage include:

Selecting points based the specified point IDs.
Supporting multiple entries of point IDs. If the input data matches with the specified point IDs, the data record will be the output of the stage.
If the input data does not match with the specified point IDs, the stage will not have output.
Incompatible with old data formats, i.e. cannot filter data by ModelId::PointId.

This stage does not support streaming lineage.

Configuration¶

The configuration tabs for this stage are General, Basic, and Input/Output.

General¶

Name	Required?	Description
Name	Yes	The name of the stage.
Description	No	The description of the stage.
Stage Library	Yes	The streaming operator library to which the stage belongs.
Required Fields	No	The fields that the data records must contain. If the specified fields are not included, the record will be filtered out.
Preconditions	No	The conditions that must be satisfied by the data records. Records that do not meet the conditions will be filtered out. For example, `${record:value('/value') > 0}`. For the syntax of EL expressions, see Expression Language.
On Record Error	Yes	The processing method for error data. Discard: Error data will be discarded and ignored Send to Error: Error messages will be reported Stop Pipeline: The pipeline will be stopped

Basic¶

Name	Required?	Description
Quality Filter	No	Filter the data according to the data quality. Only records that meet the quality conditions will be processed by this stage.

Input/Output¶

Name	Required?	Description
Input Measurement	Yes	Enter the data entry point that the current pipeline needs to process.

Output Results¶

The output results of this stage are the streaming records that are filtered by MeasurementId.

Output Example¶

../../../_images/point_selector_result11.png