Source point
A source node is a designated origin from which data, flow, traversal, or directed relationships proceed.
Kafka Streams in Action, Second Edition
A source node is the root node of a Kafka Streams topology that consumes records and forwards them into the application.
- How it is used
- Starts Kafka Streams topologies by consuming Kafka topic records and forwarding them into processing pipelines.
- How deep it goes
- Works through DSL and Processor API creation, Serdes, topic selection, timestamps, and immediate downstream transformations.
- Examples
- Uses a text-uppercase Yelling app, masked retail purchases, and a brewery order-routing pipeline.
- What you can do after
- Build it from scratch with `StreamsBuilder.stream` or `Topology.addSource`, selecting topics and record deserialization.
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Advanced Algorithms and Data Structures
A source is the distinguished network vertex through which flow originates and which has no inbound flow.
- How it is used
- Frames where flow originates when modeling directed networks and solving maximum-flow problems.
- How deep it goes
- Defines the source as an endpoint with only outgoing edges and contrasts it with ordinary edge-source terminology.
- Examples
- Uses a network diagram with vertices s and t and a stated maximum flow of 6.
- What you can do after
- Evaluate a directed network by identifying its flow origin and distinguishing it from an edge's source endpoint.
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Graph Algorithms for Data Science
A source node is the starting node of a directed relationship in Neo4j Graph Data Science terminology.
- How it is used
- Uses relationship direction to define edges when creating Neo4j Graph Data Science in-memory projections.
- How deep it goes
- Defines relationship direction and applies it in projection syntax, without detailing deeper graph internals.
- Examples
- Demonstrates retweet users as sources and retweeted users as targets, plus User nodes connected by FOLLOWS relationships.
- What you can do after
- Apply it via gds.graph.project by supplying source and target nodes for directed graph relationships.
Read how Graph Algorithms for Data Science explains source point →
Related concepts
- Consumedconfigured by · Consumed is a Kafka Streams configuration object that specifies input serializers and deserializers and other settings for a source node.
- Kafka brokeruses · A Kafka broker is a server process in an Apache Kafka cluster that stores records and handles producer, consumer, and other client requests.
- processor topologypart of · A processor topology is a directed graph of source, processor, and sink nodes that defines how records flow through a stream-processing application.
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