Discover documentation to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
Apache Flink Storm compatibility examples demonstrating Storm topology integration with embedded mode and full topology execution patterns. | Docs | — |
Apache Flink SQL connector for Apache Kafka 0.11 with shaded dependencies providing streaming and table API integration | Docs | — |
Apache Flink SQL connector for Apache Hive 3.1.2 that enables unified BATCH and STREAM processing of Hive tables. | Docs | — |
Apache Flink SQL connector for Apache Hive 2.3.9 - enables reading from and writing to Hive tables | Docs | — |
Apache Flink SQL connector for Apache Hive 2.3.6 providing integration between Flink and Hive for reading/writing Hive tables and using Hive Metastore as a catalog. | Docs | — |
Apache Flink Scala API providing type-safe operations and functional programming paradigms for distributed stream and batch processing applications. | Docs | — |
Apache Flink Scala API module that provides elegant and fluent Scala language bindings for Flink's distributed stream and batch processing framework | Docs | — |
Apache Flink Scala API providing type-safe distributed stream and batch processing with idiomatic Scala constructs, functional programming features, and seamless runtime integration. | Docs | — |
Runtime server components for Apache Flink's queryable state feature enabling external applications to query live streaming job state | Docs | — |
Apache Flink ORC format support without Hive dependencies - provides ORC file reading and writing capabilities for Flink applications using a standalone ORC implementation | Docs | — |
Python API for Apache Flink providing comprehensive batch processing capabilities including data transformations, aggregations, joins, and distributed execution | Docs | — |
Machine learning library for Apache Flink providing scalable ML algorithms including classification (SVM), regression (multiple linear regression), and recommendation (ALS) optimized for distributed stream and batch processing | Docs | — |
Apache Flink Machine Learning Library for Scala 2.10 - provides distributed machine learning algorithms for scalable data processing on Flink's streaming and batch processing engine | Docs | — |
Apache Flink Machine Learning Library providing linear algebra operations, statistical utilities, pipeline abstractions, and ML algorithms for both batch and stream processing in the Flink ecosystem | Docs | — |
Apache Flink HBase connector library that enables seamless integration between Flink streaming and batch processing applications with Apache HBase. | Docs | — |
Apache Flink HCatalog connector for reading data from Apache Hive HCatalog tables | Docs | — |
Apache Flink Hadoop Compatibility library that enables interoperability between Apache Flink and Apache Hadoop MapReduce | Docs | — |
Scala API for Apache Flink's Gelly graph processing library with type-safe functional programming support | Docs | — |
Scala API for Apache Flink's Gelly graph processing library providing distributed graph operations and algorithms | Docs | — |
Apache Flink Gelly Examples - A collection of graph processing examples and algorithms using the Flink Gelly graph processing library | Docs | — |
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