update deps, more tests

examples/tips.py

@@ -52,4 +52,4 @@
 )
 
 ray_results = ray_ctx.plan(df.execution_plan())
-df_ctx.create_dataframe([[ray_results]]).show()
+df_ctx.create_dataframe([ray_results]).show()

pyproject.toml

@@ -28,8 +28,8 @@ classifiers = [
     "Programming Language :: Python :: Implementation :: PyPy",
 ]
 dependencies = [
-    "datafusion>=42.0.0",
-    "pyarrow>=11.0.0",
+    "datafusion>=43.0.0",
+    "pyarrow>=18.0.0",
     "typing-extensions;python_version<'3.13'",
 ]
 

requirements-in.txt

@@ -4,9 +4,9 @@ isort
 maturin
 mypy
 numpy
-pyarrow
+pyarrow>=18.0.0
 pytest
 ray==2.37.0
-datafusion>=42.0.0
+datafusion>=43.0.0
 toml
 importlib_metadata; python_version < "3.8"

tests/test_context.py

@@ -16,7 +16,7 @@
 # under the License.
 
 from datafusion_ray.context import DatafusionRayContext
-from datafusion import SessionContext
+from datafusion import SessionContext, SessionConfig, RuntimeConfig, col, lit, functions as F
 
 
 def test_basic_query_succeed():
@@ -27,7 +27,7 @@ def test_basic_query_succeed():
     record_batch = ctx.sql("SELECT * FROM tips")
     assert record_batch.num_rows == 244
 
-def test_aggregate():
+def test_aggregate_csv():
     df_ctx = SessionContext()
     ctx = DatafusionRayContext(df_ctx)
     df_ctx.register_csv("tips", "examples/tips.csv", has_header=True)
@@ -39,6 +39,36 @@ def test_aggregate():
         num_rows += record_batch.num_rows
     assert num_rows == 4
 
+def test_aggregate_parquet():
+    runtime = RuntimeConfig()
+    config = SessionConfig().set('datafusion.execution.parquet.schema_force_view_types', 'true')
+    df_ctx = SessionContext(config, runtime)
+    ctx = DatafusionRayContext(df_ctx)
+    df_ctx.register_parquet("tips", "examples/tips.parquet")
+    record_batches = ctx.sql("select sex, smoker, avg(tip/total_bill) as tip_pct from tips group by sex, smoker")
+    assert isinstance(record_batches, list)
+    # TODO why does this return many empty batches?
+    num_rows = 0
+    for record_batch in record_batches:
+        num_rows += record_batch.num_rows
+    assert num_rows == 4
+
+def test_aggregate_parquet_dataframe():
+    df_ctx = SessionContext()
+    ray_ctx = DatafusionRayContext(df_ctx)
+    df = df_ctx.read_parquet(f"examples/tips.parquet")
+    df = (
+        df.aggregate(
+            [col("sex"), col("smoker"), col("day"), col("time")],
+            [F.avg(col("tip") / col("total_bill")).alias("tip_pct")],
+        )
+        .filter(col("day") != lit("Dinner"))
+        .aggregate([col("sex"), col("smoker")], [F.avg(col("tip_pct")).alias("avg_pct")])
+    )
+    ray_results = ray_ctx.plan(df.execution_plan())
+    df_ctx.create_dataframe([ray_results]).show()
+
+
 def test_no_result_query():
     df_ctx = SessionContext()
     ctx = DatafusionRayContext(df_ctx)