What is a BLU used for?

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Business logic units (BLUs) implement cohesive service logic on FusionInsight Farmer. They are the entity objects of service processing that contain the logic of all services. BLUs can be deployed on multiple instances.

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What is a BLU?
Business logic units (BLUs) implement cohesive service logic on FusionInsight Farmer. They are the entity objects of service processing that contain the logic of all services. BLUs can be deployed on multiple instances.

How do I deploy a BLU?
After a new application is developed based on service requirements, the system administrator can add its WAR file to FusionInsight Farmer so that it can become a BLU. The specific operation is as follows: On FusionInsight Manager, choose Services > Containers > Business Manager > Add BLU.

Definition of the BLU in a FusionInsight Farmer environment
Business logic units (BLUs) implement cohesive service logic on FusionInsight Farmer. They are the entity objects of service processing that contain the logic of all services. BLUs can be deployed on multiple instances.

What is SmallFS used for?
The number of files that HDFS NameNode can manage is restricted by the node's heap memory. A large number of small files (more small files indicate less data blocks) generated during the use of services can rapidly consume NameNode memory and slow NameNode running. A background small file merging feature (namely, SmallFS) is developed to solve this problem. SmallFS automatically detects small files in the system based on the file size threshold, merges them, and stores metadata to a local LevelDB to reduce the NameNode load. Moreover, it provides a new FileSystem interface for users to transparently access these small files.

What is Kafka used for?
Kafka is a distributed, partitioned, and replicated message publishing and subscription system that provides features similar to the Java Message Service (JMS). Kafka features message persistence, high throughput, distribution, multi-client support, and real-time processing, and applies to online and offline message consumption. It is ideal for Internet service data collection scenarios, such as conventional data collection, active website tracing, aggregation of operation data in statistics systems (monitoring data), and log collection.

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