Fix incorrect Javadoc in MemoryManager#availableMemory(MemoryType)

This closes #11226.

[FLINK-16180][runtime] Replace the nullable vertexExecution in ScheduledUnit with a non-null executionVertexId

[FLINK-16271][python] Introduce ArrowPythonScalarFunctionOperator for vectorized Python UDF execution

This closes #11241

This doesn't fully support input selection, watermarks, latency markers and keyed contextes yet

This creates new hierarchy of task harnesses that could be used for other tasks as well.

This is going to be used for runtime support of MultipleInputStreamOperator

[FLINK-16060][checkpointing] Generalize LinkedBufferStorage to support arbitrary number of linked buffer storages

This interface is still not complete - it's missing for example watermark and
latency markers support.

The warning log should show up when the JobManager/TaskManager memory is not a multiple of YARN minimum allocation memory. Because YARN will always normalize the resource request by insuring that the requested memory is a multiple of minimum allocation. The minimum allocation could be configured in YARN ResourceManager via 'yarn.scheduler.minimum-allocation-mb'.

This closes #11176.

The method SingleInputGate#getConsumedResultId is never used, so remove it to cleanup the codes.

The ResultPartitionID in AddCredit message is never used on upstream side, so we can remove it to cleanup the codes.
There would have another two benefits to do so:

1. Reduce the total message size from previous 52 bytes to 20 bytes.
2. Decouple the dependency with InputChannel#getPartitionId.

The option was deprecated in 1.10 in favour of `taskmanager.memory.process.size`.

This closes #10890.

[FLINK-15972][python][table-planner][table-planner-blink] Add Python building blocks to make sure the basic functionality of Python TableFunction could work

This close #11130.