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Subject [GitHub] [flink] wuchong opened a new pull request #8202: [FLINK-12133] [table-runtime-blink] Support unbounded aggregate in streaming table runtime
Date Thu, 18 Apr 2019 04:23:12 GMT
wuchong opened a new pull request #8202: [FLINK-12133] [table-runtime-blink] Support unbounded
aggregate in streaming table runtime
URL: https://github.com/apache/flink/pull/8202
   ## What is the purpose of the change
   This ticket is aiming to support unbounded aggregate in blink streaming runtime. Includes:
   1. GroupAggFunction: function that support unbounded aggregate without minibatch optimizations
   2. MiniBatchGroupAggFunction: function that support unbounded aggregate with minibatch
   3. MiniBatchLocalGroupAggFunction & MiniBatchGlobalGroupAggFunction: function that
support unbounded aggregate with local combine optimization
   4. MiniBatchIncrementalAggFunction: agg function with incremental optimization.
   ## Brief change log
    - Add `GroupAggFunction`, `MiniBatchGroupAggFunction`, `MiniBatchLocalGroupAggFunction`,
    - Move `TableConfig`, `MapView`, `ListView` to `flink-table-runtime-blink` module to make
runtime class can access them. They should be in api module at last. So this is a temporary
    - Implement Expand and Union for runtime.
    - Introduce `StateDataViewStore` for `AggsHandleFunction` to access state DataView instead
of using `ExecutionContext` in it.
    - Introduce `SINGLE_VALUE` and `COLLECT` agg call.
    - Rewrite `MaxWithRetract`, `MinWithRetract`, `ConcatWithRetract`, `ConcatWsWithRetract`.
    - Fix several bugs in code generation and serialization and other places.
   ## Verifying this change
   - Add `AggregateITCase` with 6 modes to cover unbounded aggregates.
   - Add `SplitAggregateITCase` with 4 modes to cover distinct aggregates split optimization.
   ## 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? (no)
     - If yes, how is the feature documented? (not applicable)

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