flink-udf
Build and deploy Apache Flink user-defined functions (UDFs) in Java for stream processing over Kafka. Use this skill when users want to create scalar UDFs, user-defined table functions (UDTFs), or process table functions (PTFs) in Java, deploy them to Confluent Cloud or local Docker environments, and invoke them from Flink SQL or the Table API. Trigger on: Flink UDF, custom Flink function, process table function, PTF, UDTF, Flink user defined, extend Flink SQL, stateful stream processing with Flink. Do NOT trigger for: Kafka Streams UDFs (use kafka-streams-programming skill), general Flink job development without custom functions, CDC streaming data piplines that include Flink (prefer the confluent-cloud-cdc-tableflow skill), Flink connector setup, or Kafka producer/consumer code.
- Version
- 1.0.0
Pinned to revision 4e8964e24a5a, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/flink-udf/SKILL.md
- skills/flink-udf/LICENSE
- skills/flink-udf/evals/evals.json
- skills/flink-udf/references/confluent-cloud-setup.md
- skills/flink-udf/references/dependencies-confluent-cloud.md
- skills/flink-udf/references/dependencies-local.md
- skills/flink-udf/references/local-docker-setup.md
- skills/flink-udf/references/ptf-java-confluent-cloud.md
- skills/flink-udf/references/ptf-java-local.md
- skills/flink-udf/references/udf-udtf-java-confluent-cloud.md
- skills/flink-udf/references/udf-udtf-java-local.md
Every link opens the file at its source, pinned to the revision this page describes.