FEAT-#7139: Use ray-core instead of ray-default

.github/workflows/ci.yml

@@ -394,7 +394,7 @@ jobs:
           - ubuntu
           - windows
         python-version: ["3.9"]
-        engine: ${{ fromJSON( github.event_name == 'push' && '["python", "ray", "dask"]' || needs.execution-filter.outputs.engines ) }}
+        engine: ["python", "ray", "dask"]
         test_task:
           - group_1
           - group_2

docs/requirements-doc.txt

@@ -13,7 +13,7 @@ recommonmark
 sphinx<6.0.0
 sphinx-click
 # ray==2.5.0 broken: https://github.com/conda-forge/ray-packages-feedstock/issues/100
-ray[default]>=2.1.0,!=2.5.0
+ray>=2.1.0,!=2.5.0
 # Override to latest version of modin-spreadsheet
 git+https://github.com/modin-project/modin-spreadsheet.git@49ffd89f683f54c311867d602c55443fb11bf2a5
 sphinxcontrib_plantuml

environment-dev.yml

@@ -13,7 +13,7 @@ dependencies:
 
   # optional dependencies
   # ray==2.5.0 broken: https://github.com/conda-forge/ray-packages-feedstock/issues/100
-  - ray-default>=2.1.0,!=2.5.0
+  - ray-core>=2.1.0,!=2.5.0
   - pyarrow>=7.0.0
   # workaround for https://github.com/conda/conda/issues/11744
   - grpcio!=1.45.*

modin/core/execution/ray/common/deferred_execution.py

@@ -30,7 +30,13 @@
 import pandas
 import ray
 from ray._private.services import get_node_ip_address
-from ray.util.client.common import ClientObjectRef
+
+try:
+    # it's only need for ray client mode:
+    # https://docs.ray.io/en/master/cluster/running-applications/job-submission/ray-client.html
+    from ray.util.client.common import ClientObjectRef
+except ImportError:
+    ClientObjectRef = type(None)
 
 from modin.core.execution.ray.common import MaterializationHook, RayWrapper
 from modin.logging import get_logger

modin/core/execution/ray/common/engine_wrapper.py

@@ -23,7 +23,13 @@
 from typing import Sequence
 
 import ray
-from ray.util.client.common import ClientObjectRef
+
+try:
+    # it's only need for ray client mode:
+    # https://docs.ray.io/en/master/cluster/running-applications/job-submission/ray-client.html
+    from ray.util.client.common import ClientObjectRef
+except ImportError:
+    ClientObjectRef = type(None)
 
 from modin.error_message import ErrorMessage
 

modin/core/execution/ray/implementations/pandas_on_ray/partitioning/partition.py

@@ -19,7 +19,12 @@
 import ray
 
 if TYPE_CHECKING:
-    from ray.util.client.common import ClientObjectRef
+    try:
+        # it's only need for ray client mode:
+        # https://docs.ray.io/en/master/cluster/running-applications/job-submission/ray-client.html
+        from ray.util.client.common import ClientObjectRef
+    except ImportError:
+        ClientObjectRef = type(None)
 
 from modin.config import LazyExecution
 from modin.core.dataframe.pandas.partitioning.partition import PandasDataframePartition

requirements-dev.txt

@@ -7,7 +7,7 @@ psutil>=5.8.0
 
 ## optional dependencies
 # ray==2.5.0 broken: https://github.com/conda-forge/ray-packages-feedstock/issues/100
-ray[default]>=2.1.0,!=2.5.0
+ray>=2.1.0,!=2.5.0
 pyarrow>=7.0.0
 dask[complete]>=2.22.0
 distributed>=2.22.0

setup.py

@@ -7,7 +7,7 @@
 
 dask_deps = ["dask>=2.22.0", "distributed>=2.22.0"]
 # ray==2.5.0 broken: https://github.com/conda-forge/ray-packages-feedstock/issues/100
-ray_deps = ["ray[default]>=2.1.0,!=2.5.0", "pyarrow>=7.0.0"]
+ray_deps = ["ray>=2.1.0,!=2.5.0", "pyarrow>=7.0.0"]
 mpi_deps = ["unidist[mpi]>=0.2.1"]
 spreadsheet_deps = ["modin-spreadsheet>=0.1.0"]
 # Currently, Modin does not include `mpi` option in `all`.