Record Capturer

This stage captures the data that passes through this stage and store the data in Redis in the key:field:value format. The calculation logic of this stage is as follows:

  • The format of the Redis key is pipelineId::commonRedisStage::assetId, in which commonRedisStage is a fixed field.

  • This stage cannot guarantee idempotence of the calculation results due to failure retries caused by any reasons, such as cluster node exceptions.

Configuration

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

General

Name

Required?

Description

Name

Yes

The name of the stage.

Description

No

The description of the stage.

Stage Library

Yes

The streaming calculator 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.

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 Point

Yes

Specify the input point of the records, using the format {modelId}::{pointId}.

CacheConfig

Name

Required?

Description

Cache Type

Yes

Select the storage type for cache data. Options are Redis and Local storage.

  • Redis: The advantage is that the cached data will not be lost after the stream processing job is paused, restarted, or retried. The disadvantage is that the data processing speed is slow.

  • Local: The advantage is that the data processing speed is fast. The disadvantage is that the cached data will be lost after the stream processing job is paused, restarted, or retried.

Output Results

The records passing through the stage will be stored in Redis.

Output Example

../../../_images/record_capturer_result1.png