JingsongLi opened a new pull request #8492: [FLINK-12563][table-runtime-blink] Introduce vector data format in blink URL: https://github.com/apache/flink/pull/8492 ## What is the purpose of the change Introduce vector data format to high performance parquet/orc source. ## Brief change log Introduce `VectorizedColumnBatch`: A `VectorizedColumnBatch` is a set of rows, organized with each column as a vector. Introduce `ColumnVector` with subclasses: `IntColumnVector`, `LongColumnVector` and etc.. Introduce `ColumnarRow`: wrap `VectorizedColumnBatch` as a `BaseRow`. Let `IntColumnVector` and others to be a interface: 1.We can support OrcXXVector with not copy data from OrcVector 2.In the future, we can support OffHeapXXVectors Performance: we should keep a single implement XXColumnVector in JVM. Otherwise we need to bear the overhead of virtual function calls. ## Verifying this change ut ## Does this pull request potentially affect one of the following parts: - Dependencies (does it add or upgrade a dependency): (no) - The public API, i.e., is any changed class annotated with `@Public(Evolving)`: (no) - The serializers: (no) - The runtime per-record code paths (performance sensitive): (no) - Anything that affects deployment or recovery: JobManager (and its components), Checkpointing, Yarn/Mesos, ZooKeeper: (no) - The S3 file system connector: (no) ## Documentation - Does this pull request introduce a new feature? (yes) - If yes, how is the feature documented? (JavaDocs)
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