[SPARK-50015][BUILD] Upgrade grpcio* to 1.67.0 and grpc-java to 1…

….67.1

### What changes were proposed in this pull request?

This PR aims to upgrade
- `grpcio` and `grpcio-status` to `1.67.0`
- `grpc-java` to `1.67.1`

Please note that `grpc-java` there is no 1.67.0 and 1.68.0 is wrong as announced like the following.

- https://github.com/grpc/grpc-java/releases/tag/v1.67.1
> There was no 1.67.0 release. There was a problem making the release and it went to Maven Central as 1.68.0 instead.

### Why are the changes needed?

To use the latest updated versions as a part of Apache Spark 4.0.0 (February 2025) preparation.
- grpc/grpc-java#11444

### Does this PR introduce _any_ user-facing change?

Although this is a dependency change, it should be backward compatible.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #48524 from dongjoon-hyun/SPARK-50015.

Lead-authored-by: Dongjoon Hyun <[email protected]>
Co-authored-by: Dongjoon Hyun <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>

.github/workflows/build_and_test.yml

@@ -276,7 +276,7 @@ jobs:
     - name: Install Python packages (Python 3.11)
       if: (contains(matrix.modules, 'sql') && !contains(matrix.modules, 'sql-')) || contains(matrix.modules, 'connect')
       run: |
-        python3.11 -m pip install 'numpy>=1.20.0' pyarrow pandas scipy unittest-xml-reporting 'lxml==4.9.4' 'grpcio==1.62.0' 'grpcio-status==1.62.0' 'protobuf==5.28.3'
+        python3.11 -m pip install 'numpy>=1.20.0' pyarrow pandas scipy unittest-xml-reporting 'lxml==4.9.4' 'grpcio==1.67.0' 'grpcio-status==1.67.0' 'protobuf==5.28.3'
         python3.11 -m pip list
     # Run the tests.
     - name: Run tests
@@ -725,7 +725,7 @@ jobs:
         python3.9 -m pip install 'sphinx==4.5.0' mkdocs 'pydata_sphinx_theme>=0.13' sphinx-copybutton nbsphinx numpydoc jinja2 markupsafe 'pyzmq<24.0.0' \
           ipython ipython_genutils sphinx_plotly_directive numpy pyarrow pandas 'plotly>=4.8' 'docutils<0.18.0' \
           'flake8==3.9.0' 'mypy==1.8.0' 'pytest==7.1.3' 'pytest-mypy-plugins==1.9.3' 'black==23.9.1' \
-          'pandas-stubs==1.2.0.53' 'grpcio==1.62.0' 'grpc-stubs==1.24.11' 'googleapis-common-protos-stubs==2.2.0' \
+          'pandas-stubs==1.2.0.53' 'grpcio==1.67.0' 'grpc-stubs==1.24.11' 'googleapis-common-protos-stubs==2.2.0' \
           'sphinxcontrib-applehelp==1.0.4' 'sphinxcontrib-devhelp==1.0.2' 'sphinxcontrib-htmlhelp==2.0.1' 'sphinxcontrib-qthelp==1.0.3' 'sphinxcontrib-serializinghtml==1.1.5'
         python3.9 -m pip list
     - name: Python linter

.github/workflows/maven_test.yml

@@ -178,7 +178,7 @@ jobs:
       - name: Install Python packages (Python 3.11)
         if: (contains(matrix.modules, 'sql#core')) || contains(matrix.modules, 'connect')
         run: |
-          python3.11 -m pip install 'numpy>=1.20.0' pyarrow pandas scipy unittest-xml-reporting 'grpcio==1.62.0' 'grpcio-status==1.62.0' 'protobuf==5.28.3'
+          python3.11 -m pip install 'numpy>=1.20.0' pyarrow pandas scipy unittest-xml-reporting 'grpcio==1.67.0' 'grpcio-status==1.67.0' 'protobuf==5.28.3'
           python3.11 -m pip list
       # Run the tests.
       - name: Run tests

dev/create-release/spark-rm/Dockerfile

@@ -102,7 +102,7 @@ RUN pypy3 -m pip install numpy 'six==1.16.0' 'pandas==2.2.2' scipy coverage matp
 
 ARG BASIC_PIP_PKGS="numpy pyarrow>=15.0.0 six==1.16.0 pandas==2.2.2 scipy plotly>=4.8 mlflow>=2.8.1 coverage matplotlib openpyxl memory-profiler>=0.61.0 scikit-learn>=1.3.2 twine==3.4.1"
 # Python deps for Spark Connect
-ARG CONNECT_PIP_PKGS="grpcio==1.62.0 grpcio-status==1.62.0 protobuf==5.28.3 googleapis-common-protos==1.65.0"
+ARG CONNECT_PIP_PKGS="grpcio==1.67.0 grpcio-status==1.67.0 protobuf==5.28.3 googleapis-common-protos==1.65.0"
 
 # Install Python 3.10 packages
 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.10
@@ -131,7 +131,7 @@ RUN python3.9 -m pip install --force $BASIC_PIP_PKGS unittest-xml-reporting $CON
 RUN python3.9 -m pip install 'sphinx==4.5.0' mkdocs 'pydata_sphinx_theme>=0.13' sphinx-copybutton nbsphinx numpydoc jinja2 markupsafe 'pyzmq<24.0.0' \
 ipython ipython_genutils sphinx_plotly_directive 'numpy>=1.20.0' pyarrow pandas 'plotly>=4.8' 'docutils<0.18.0' \
 'flake8==3.9.0' 'mypy==1.8.0' 'pytest==7.1.3' 'pytest-mypy-plugins==1.9.3' 'black==23.9.1' \
-'pandas-stubs==1.2.0.53' 'grpcio==1.62.0' 'grpc-stubs==1.24.11' 'googleapis-common-protos-stubs==2.2.0' \
+'pandas-stubs==1.2.0.53' 'grpcio==1.67.0' 'grpc-stubs==1.24.11' 'googleapis-common-protos-stubs==2.2.0' \
 'sphinxcontrib-applehelp==1.0.4' 'sphinxcontrib-devhelp==1.0.2' 'sphinxcontrib-htmlhelp==2.0.1' 'sphinxcontrib-qthelp==1.0.3' 'sphinxcontrib-serializinghtml==1.1.5'
 RUN python3.9 -m pip list
 

dev/infra/Dockerfile

@@ -96,7 +96,7 @@ RUN pypy3 -m pip install numpy 'six==1.16.0' 'pandas==2.2.3' scipy coverage matp
 
 ARG BASIC_PIP_PKGS="numpy pyarrow>=15.0.0 six==1.16.0 pandas==2.2.3 scipy plotly>=4.8 mlflow>=2.8.1 coverage matplotlib openpyxl memory-profiler>=0.61.0 scikit-learn>=1.3.2"
 # Python deps for Spark Connect
-ARG CONNECT_PIP_PKGS="grpcio==1.62.0 grpcio-status==1.62.0 protobuf==5.28.3 googleapis-common-protos==1.65.0 graphviz==0.20.3"
+ARG CONNECT_PIP_PKGS="grpcio==1.67.0 grpcio-status==1.67.0 protobuf==5.28.3 googleapis-common-protos==1.65.0 graphviz==0.20.3"
 
 # Install Python 3.10 packages
 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.10

dev/requirements.txt

@@ -58,8 +58,8 @@ black==23.9.1
 py
 
 # Spark Connect (required)
-grpcio>=1.62.0
-grpcio-status>=1.62.0
+grpcio>=1.67.0
+grpcio-status>=1.67.0
 googleapis-common-protos>=1.65.0
 
 # Spark Connect python proto generation plugin (optional)

pom.xml

@@ -294,7 +294,7 @@
     <!-- Version used in Connect -->
     <connect.guava.version>33.2.1-jre</connect.guava.version>
     <guava.failureaccess.version>1.0.2</guava.failureaccess.version>
-    <io.grpc.version>1.62.2</io.grpc.version>
+    <io.grpc.version>1.67.1</io.grpc.version>
     <mima.version>1.1.4</mima.version>
     <tomcat.annotations.api.version>6.0.53</tomcat.annotations.api.version>
 

project/SparkBuild.scala

@@ -91,7 +91,7 @@ object BuildCommons {
   // SPARK-41247: needs to be consistent with `protobuf.version` in `pom.xml`.
   val protoVersion = "4.28.3"
   // GRPC version used for Spark Connect.
-  val grpcVersion = "1.62.2"
+  val grpcVersion = "1.67.1"
 }
 
 object SparkBuild extends PomBuild {

python/docs/source/getting_started/install.rst

@@ -208,8 +208,8 @@ Package                    Supported version Note
 ========================== ================= ==========================
 `pandas`                   >=2.0.0           Required for Spark Connect
 `pyarrow`                  >=10.0.0          Required for Spark Connect
-`grpcio`                   >=1.62.0          Required for Spark Connect
-`grpcio-status`            >=1.62.0          Required for Spark Connect
+`grpcio`                   >=1.67.0          Required for Spark Connect
+`grpcio-status`            >=1.67.0          Required for Spark Connect
 `googleapis-common-protos` >=1.65.0          Required for Spark Connect
 `graphviz`                 >=0.20            Optional for Spark Connect
 ========================== ================= ==========================

python/packaging/classic/setup.py

@@ -153,7 +153,7 @@ def _supports_symlinks():
 _minimum_pandas_version = "2.0.0"
 _minimum_numpy_version = "1.21"
 _minimum_pyarrow_version = "10.0.0"
-_minimum_grpc_version = "1.62.0"
+_minimum_grpc_version = "1.67.0"
 _minimum_googleapis_common_protos_version = "1.65.0"
 
 

python/pyspark/sql/connect/proto/base_pb2_grpc.py

@@ -34,51 +34,61 @@ def __init__(self, channel):
             "/spark.connect.SparkConnectService/ExecutePlan",
             request_serializer=spark_dot_connect_dot_base__pb2.ExecutePlanRequest.SerializeToString,
             response_deserializer=spark_dot_connect_dot_base__pb2.ExecutePlanResponse.FromString,
+            _registered_method=True,
         )
         self.AnalyzePlan = channel.unary_unary(
             "/spark.connect.SparkConnectService/AnalyzePlan",
             request_serializer=spark_dot_connect_dot_base__pb2.AnalyzePlanRequest.SerializeToString,
             response_deserializer=spark_dot_connect_dot_base__pb2.AnalyzePlanResponse.FromString,
+            _registered_method=True,
         )
         self.Config = channel.unary_unary(
             "/spark.connect.SparkConnectService/Config",
             request_serializer=spark_dot_connect_dot_base__pb2.ConfigRequest.SerializeToString,
             response_deserializer=spark_dot_connect_dot_base__pb2.ConfigResponse.FromString,
+            _registered_method=True,
         )
         self.AddArtifacts = channel.stream_unary(
             "/spark.connect.SparkConnectService/AddArtifacts",
             request_serializer=spark_dot_connect_dot_base__pb2.AddArtifactsRequest.SerializeToString,
             response_deserializer=spark_dot_connect_dot_base__pb2.AddArtifactsResponse.FromString,
+            _registered_method=True,
         )
         self.ArtifactStatus = channel.unary_unary(
             "/spark.connect.SparkConnectService/ArtifactStatus",
             request_serializer=spark_dot_connect_dot_base__pb2.ArtifactStatusesRequest.SerializeToString,
             response_deserializer=spark_dot_connect_dot_base__pb2.ArtifactStatusesResponse.FromString,
+            _registered_method=True,
         )
         self.Interrupt = channel.unary_unary(
             "/spark.connect.SparkConnectService/Interrupt",
             request_serializer=spark_dot_connect_dot_base__pb2.InterruptRequest.SerializeToString,
             response_deserializer=spark_dot_connect_dot_base__pb2.InterruptResponse.FromString,
+            _registered_method=True,
         )
         self.ReattachExecute = channel.unary_stream(
             "/spark.connect.SparkConnectService/ReattachExecute",
             request_serializer=spark_dot_connect_dot_base__pb2.ReattachExecuteRequest.SerializeToString,
             response_deserializer=spark_dot_connect_dot_base__pb2.ExecutePlanResponse.FromString,
+            _registered_method=True,
         )
         self.ReleaseExecute = channel.unary_unary(
             "/spark.connect.SparkConnectService/ReleaseExecute",
             request_serializer=spark_dot_connect_dot_base__pb2.ReleaseExecuteRequest.SerializeToString,
             response_deserializer=spark_dot_connect_dot_base__pb2.ReleaseExecuteResponse.FromString,
+            _registered_method=True,
         )
         self.ReleaseSession = channel.unary_unary(
             "/spark.connect.SparkConnectService/ReleaseSession",
             request_serializer=spark_dot_connect_dot_base__pb2.ReleaseSessionRequest.SerializeToString,
             response_deserializer=spark_dot_connect_dot_base__pb2.ReleaseSessionResponse.FromString,
+            _registered_method=True,
         )
         self.FetchErrorDetails = channel.unary_unary(
             "/spark.connect.SparkConnectService/FetchErrorDetails",
             request_serializer=spark_dot_connect_dot_base__pb2.FetchErrorDetailsRequest.SerializeToString,
             response_deserializer=spark_dot_connect_dot_base__pb2.FetchErrorDetailsResponse.FromString,
+            _registered_method=True,
         )
 
 
@@ -220,6 +230,7 @@ def add_SparkConnectServiceServicer_to_server(servicer, server):
         "spark.connect.SparkConnectService", rpc_method_handlers
     )
     server.add_generic_rpc_handlers((generic_handler,))
+    server.add_registered_method_handlers("spark.connect.SparkConnectService", rpc_method_handlers)
 
 
 # This class is part of an EXPERIMENTAL API.
@@ -253,6 +264,7 @@ def ExecutePlan(
             wait_for_ready,
             timeout,
             metadata,
+            _registered_method=True,
         )
 
     @staticmethod
@@ -282,6 +294,7 @@ def AnalyzePlan(
             wait_for_ready,
             timeout,
             metadata,
+            _registered_method=True,
         )
 
     @staticmethod
@@ -311,6 +324,7 @@ def Config(
             wait_for_ready,
             timeout,
             metadata,
+            _registered_method=True,
         )
 
     @staticmethod
@@ -340,6 +354,7 @@ def AddArtifacts(
             wait_for_ready,
             timeout,
             metadata,
+            _registered_method=True,
         )
 
     @staticmethod
@@ -369,6 +384,7 @@ def ArtifactStatus(
             wait_for_ready,
             timeout,
             metadata,
+            _registered_method=True,
         )
 
     @staticmethod
@@ -398,6 +414,7 @@ def Interrupt(
             wait_for_ready,
             timeout,
             metadata,
+            _registered_method=True,
         )
 
     @staticmethod
@@ -427,6 +444,7 @@ def ReattachExecute(
             wait_for_ready,
             timeout,
             metadata,
+            _registered_method=True,
         )
 
     @staticmethod
@@ -456,6 +474,7 @@ def ReleaseExecute(
             wait_for_ready,
             timeout,
             metadata,
+            _registered_method=True,
         )
 
     @staticmethod
@@ -485,6 +504,7 @@ def ReleaseSession(
             wait_for_ready,
             timeout,
             metadata,
+            _registered_method=True,
         )
 
     @staticmethod
@@ -514,4 +534,5 @@ def FetchErrorDetails(
             wait_for_ready,
             timeout,
             metadata,
+            _registered_method=True,
         )

sql/connect/common/src/main/buf.gen.yaml

@@ -22,14 +22,14 @@ plugins:
     out: gen/proto/csharp
   - plugin: buf.build/protocolbuffers/java:v21.7
     out: gen/proto/java
-  - plugin: buf.build/grpc/ruby:v1.62.0
+  - plugin: buf.build/grpc/ruby:v1.67.0
     out: gen/proto/ruby
   - plugin: buf.build/protocolbuffers/ruby:v21.7
     out: gen/proto/ruby
    # Building the Python build and building the mypy interfaces.
   - plugin: buf.build/protocolbuffers/python:v21.7
     out: gen/proto/python
-  - plugin: buf.build/grpc/python:v1.62.0
+  - plugin: buf.build/grpc/python:v1.67.0
     out: gen/proto/python
   - name: mypy
     out: gen/proto/python