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Fix merge conflict with 23.12 [skip ci] #10290

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merged 2 commits into from
Jan 26, 2024
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@jlowe jlowe commented Jan 26, 2024

Resolves the merge conflict reported in #10287. There are no code changes since the changes trying to be merged were a backport of changes from 24.02 originally.

NOTE: This needs to be merged with a merge commit, not squashed!

razajafri and others added 2 commits January 26, 2024 09:00
* Download Maven from apache.org archives (NVIDIA#10225)

Fixes NVIDIA#10224 

Replace broken install using apt by downloading Maven from apache.org.

Signed-off-by: Gera Shegalov <[email protected]>

* Fix a hang for Pandas UDFs on DB 13.3[databricks] (NVIDIA#9833)

fix NVIDIA#9493
fix NVIDIA#9844

The python runner uses two separate threads to write and read data with Python processes, 
however on DB13.3, it becomes single-threaded, which means reading and writing run on the same thread.
Now the first reading is always ahead of the first writing. But the original BatchQueue will wait
on the first reading until the first writing is done. Then it will wait forever.

Change made:

- Update the BatchQueue to support asking for a batch instead of waiting unitl one is inserted into the queue. 
   This can eliminate the order requirement of reading and writing.
- Introduce a new class named BatchProducer to work with the new BatchQueue to support rows number
   peek on demand for the reading.
- Apply this new BatchQueue to relevant plans.
- Update the Python runners to support writing one batch one time for the singled-threaded model.
- Found an issue about PythonUDAF and RunningWindoFunctionExec, it may be a bug specific to DB 13.3,
   and add a test (test_window_aggregate_udf_on_cpu) for it.
- Other small refactors
---------

Signed-off-by: Firestarman <[email protected]>

* Fix a potential data corruption for Pandas UDF (NVIDIA#9942)

This PR moves the BatchQueue into the DataProducer to share the same lock as the output iterator
returned by asIterator,  and make the batch movement from the input iterator to the batch queue be
an atomic operation to eliminate the race when appending the batches to the queue.

* Do some refactor for the Python UDF code to try to reduce duplicate code. (NVIDIA#9902)

Signed-off-by: Firestarman <[email protected]>

* Fixed 330db Shims to Adopt the PythonRunner Changes [databricks] (NVIDIA#10232)

This PR removes the old 330db shims in favor of the new Shims, similar to the one in 341db. 

**Tests:**
Ran udf_test.py on Databricks 11.3 and they all passed. 

fixes NVIDIA#10228 

---------

Signed-off-by: raza jafri <[email protected]>

---------

Signed-off-by: Gera Shegalov <[email protected]>
Signed-off-by: Firestarman <[email protected]>
Signed-off-by: raza jafri <[email protected]>
Co-authored-by: Gera Shegalov <[email protected]>
Co-authored-by: Liangcai Li <[email protected]>
@jlowe jlowe added the build Related to CI / CD or cleanly building label Jan 26, 2024
@jlowe jlowe self-assigned this Jan 26, 2024
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jlowe commented Jan 26, 2024

build

@jlowe jlowe merged commit f31d530 into NVIDIA:branch-24.02 Jan 26, 2024
41 checks passed
@jlowe jlowe deleted the fix-merge branch January 26, 2024 20:22
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3 participants