Pin dask to 2024.1.1

continuous_integration/docker/conda.txt

@@ -1,5 +1,5 @@
 python>=3.9
-dask>=2022.3.0
+dask==2024.1.1
 pandas>=1.4.0
 jpype1>=1.0.2
 openjdk>=8
@@ -12,7 +12,7 @@ sphinx>=3.2.1
 tzlocal>=2.1
 fastapi>=0.92.0
 httpx>=0.24.1
-uvicorn>=0.13.4
+uvicorn>=0.14
 pyarrow>=14.0.1
 prompt_toolkit>=3.0.8
 pygments>=2.7.1

continuous_integration/docker/main.dockerfile

@@ -16,11 +16,11 @@ RUN mamba install -y \
     # build requirements
     "maturin>=1.3,<1.4" \
     # core dependencies
-    "dask>=2022.3.0" \
+    "dask==2024.1.1" \
     "pandas>=1.4.0" \
     "fastapi>=0.92.0" \
     "httpx>=0.24.1" \
-    "uvicorn>=0.13.4" \
+    "uvicorn>=0.14" \
     "tzlocal>=2.1" \
     "prompt_toolkit>=3.0.8" \
     "pygments>=2.7.1" \

continuous_integration/environment-3.10.yaml

@@ -3,7 +3,7 @@ channels:
 - conda-forge
 dependencies:
 - c-compiler
-- dask>=2022.3.0
+- dask==2024.1.1
 - fastapi>=0.92.0
 - fugue>=0.7.3
 - httpx>=0.24.1
@@ -26,12 +26,13 @@ dependencies:
 - pytest-xdist
 - pytest
 - python=3.10
+- py-xgboost>=1.7.0
 - scikit-learn>=1.0.0
 - sphinx
 - sqlalchemy
 - tpot>=0.12.0
 # FIXME: https://github.com/fugue-project/fugue/issues/526
 - triad<0.9.2
 - tzlocal>=2.1
-- uvicorn>=0.13.4
+- uvicorn>=0.14
 - zlib

continuous_integration/environment-3.11.yaml

@@ -3,7 +3,7 @@ channels:
 - conda-forge
 dependencies:
 - c-compiler
-- dask>=2022.3.0
+- dask==2024.1.1
 - fastapi>=0.92.0
 - fugue>=0.7.3
 - httpx>=0.24.1
@@ -26,12 +26,13 @@ dependencies:
 - pytest-xdist
 - pytest
 - python=3.11
+- py-xgboost>=1.7.0
 - scikit-learn>=1.0.0
 - sphinx
 - sqlalchemy
 - tpot>=0.12.0
 # FIXME: https://github.com/fugue-project/fugue/issues/526
 - triad<0.9.2
 - tzlocal>=2.1
-- uvicorn>=0.13.4
+- uvicorn>=0.14
 - zlib

continuous_integration/environment-3.12.yaml

@@ -3,7 +3,7 @@ channels:
 - conda-forge
 dependencies:
 - c-compiler
-- dask>=2022.3.0
+- dask==2024.1.1
 - fastapi>=0.92.0
 - fugue>=0.7.3
 - httpx>=0.24.1
@@ -27,12 +27,14 @@ dependencies:
 - pytest-xdist
 - pytest
 - python=3.12
+- py-xgboost>=1.7.0
 - scikit-learn>=1.0.0
 - sphinx
 - sqlalchemy
-- tpot>=0.12.0
+# TODO: add once tpot supports python 3.12
+# - tpot>=0.12.0
 # FIXME: https://github.com/fugue-project/fugue/issues/526
 - triad<0.9.2
 - tzlocal>=2.1
-- uvicorn>=0.13.4
+- uvicorn>=0.14
 - zlib

continuous_integration/environment-3.9.yaml

@@ -3,7 +3,7 @@ channels:
 - conda-forge
 dependencies:
 - c-compiler
-- dask=2022.3.0
+- dask=2024.1.1
 - fastapi=0.92.0
 - fugue=0.7.3
 - httpx=0.24.1
@@ -26,6 +26,7 @@ dependencies:
 - pytest-xdist
 - pytest
 - python=3.9
+- py-xgboost=1.7.0
 - scikit-learn=1.0.0
 - sphinx
 # TODO: remove this constraint when we require pandas>2
@@ -34,5 +35,5 @@ dependencies:
 # FIXME: https://github.com/fugue-project/fugue/issues/526
 - triad<0.9.2
 - tzlocal=2.1
-- uvicorn=0.13.4
+- uvicorn=0.14
 - zlib

continuous_integration/gpuci/environment-3.10.yaml

@@ -9,7 +9,7 @@ channels:
 dependencies:
 - c-compiler
 - zlib
-- dask>=2022.3.0
+- dask==2024.1.1
 - fastapi>=0.92.0
 - fugue>=0.7.3
 - httpx>=0.24.1
@@ -32,14 +32,15 @@ dependencies:
 - pytest-xdist
 - pytest
 - python=3.10
+- py-xgboost>=1.7.0
 - scikit-learn>=1.0.0
 - sphinx
 - sqlalchemy
 - tpot>=0.12.0
 # FIXME: https://github.com/fugue-project/fugue/issues/526
 - triad<0.9.2
 - tzlocal>=2.1
-- uvicorn>=0.13.4
+- uvicorn>=0.14
 # GPU-specific requirements
 - cudatoolkit=11.8
 - cudf=24.04

continuous_integration/gpuci/environment-3.9.yaml

@@ -9,7 +9,7 @@ channels:
 dependencies:
 - c-compiler
 - zlib
-- dask>=2022.3.0
+- dask==2024.1.1
 - fastapi>=0.92.0
 - fugue>=0.7.3
 - httpx>=0.24.1
@@ -32,14 +32,15 @@ dependencies:
 - pytest-xdist
 - pytest
 - python=3.9
+- py-xgboost>=1.7.0
 - scikit-learn>=1.0.0
 - sphinx
 - sqlalchemy
 - tpot>=0.12.0
 # FIXME: https://github.com/fugue-project/fugue/issues/526
 - triad<0.9.2
 - tzlocal>=2.1
-- uvicorn>=0.13.4
+- uvicorn>=0.14
 # GPU-specific requirements
 - cudatoolkit=11.8
 - cudf=24.04

continuous_integration/recipe/meta.yaml

@@ -32,11 +32,11 @@ requirements:
     - xz  # [linux64]
   run:
     - python
-    - dask >=2022.3.0
+    - dask ==2024.1.1
     - pandas >=1.4.0
     - fastapi >=0.92.0
     - httpx >=0.24.1
-    - uvicorn >=0.13.4
+    - uvicorn >=0.14
     - tzlocal >=2.1
     - prompt-toolkit >=3.0.8
     - pygments >=2.7.1

dask_sql/_compat.py

@@ -1,23 +1,12 @@
-import dask
 import pandas as pd
 import prompt_toolkit
 from packaging.version import parse as parseVersion
 
 _pandas_version = parseVersion(pd.__version__)
 _prompt_toolkit_version = parseVersion(prompt_toolkit.__version__)
-_dask_version = parseVersion(dask.__version__)
 
 INDEXER_WINDOW_STEP_IMPLEMENTED = _pandas_version >= parseVersion("1.5.0")
 PANDAS_GT_200 = _pandas_version >= parseVersion("2.0.0")
 
 # TODO: remove if prompt-toolkit min version gets bumped
 PIPE_INPUT_CONTEXT_MANAGER = _prompt_toolkit_version >= parseVersion("3.0.29")
-
-# TODO: remove when dask min version gets bumped
-BROADCAST_JOIN_SUPPORT_WORKING = _dask_version > parseVersion("2023.1.0")
-
-# Parquet predicate-support version checks
-PQ_NOT_IN_SUPPORT = parseVersion(dask.__version__) > parseVersion("2023.5.1")
-PQ_IS_SUPPORT = parseVersion(dask.__version__) >= parseVersion("2023.3.1")
-
-DASK_CUDF_TODATETIME_SUPPORT = _dask_version >= parseVersion("2023.5.1")

dask_sql/physical/rel/logical/join.py

@@ -9,7 +9,6 @@
 from dask.base import tokenize
 from dask.highlevelgraph import HighLevelGraph
 
-from dask_sql._compat import BROADCAST_JOIN_SUPPORT_WORKING
 from dask_sql.datacontainer import ColumnContainer, DataContainer
 from dask_sql.physical.rel.base import BaseRelPlugin
 from dask_sql.physical.rel.logical.filter import filter_or_scalar
@@ -259,14 +258,6 @@ def _join_on_columns(
         added_columns = list(lhs_columns_to_add.keys())
 
         broadcast = dask_config.get("sql.join.broadcast")
-        if not BROADCAST_JOIN_SUPPORT_WORKING and (
-            isinstance(broadcast, float) or broadcast
-        ):
-            warnings.warn(
-                "Broadcast Joins may not work as expected with dask<2023.1.1"
-                "For more information refer to https://github.com/dask/dask/issues/9851"
-                " and https://github.com/dask/dask/issues/9870"
-            )
         if join_type == "leftanti" and not is_cudf_type(df_lhs_with_tmp):
             df = df_lhs_with_tmp.merge(
                 df_rhs_with_tmp,

dask_sql/physical/rex/core/call.py

@@ -16,7 +16,6 @@
 from dask.highlevelgraph import HighLevelGraph
 from dask.utils import random_state_data
 
-from dask_sql._compat import DASK_CUDF_TODATETIME_SUPPORT
 from dask_sql._datafusion_lib import SqlTypeName
 from dask_sql.datacontainer import DataContainer
 from dask_sql.mappings import (
@@ -964,15 +963,11 @@ def date_part(self, what, df: SeriesOrScalar):
         elif what in {"YEAR", "YEARS"}:
             return df.year
         elif what == "DATE":
-            if isinstance(df, pd.Timestamp):
-                return df.date()
-            else:
-                if is_cudf_type(df) and not DASK_CUDF_TODATETIME_SUPPORT:
-                    raise RuntimeError(
-                        "Dask-cuDF to_datetime support requires Dask version >= 2023.5.1"
-                    )
-                else:
-                    return dd.to_datetime(df.strftime("%Y-%m-%d"))
+            return (
+                df.date()
+                if isinstance(df, pd.Timestamp)
+                else dd.to_datetime(df.strftime("%Y-%m-%d"))
+            )
         else:
             raise NotImplementedError(f"Extraction of {what} is not (yet) implemented.")
 

dask_sql/physical/utils/filter.py

@@ -11,8 +11,6 @@
 from dask.layers import DataFrameIOLayer
 from dask.utils import M, apply, is_arraylike
 
-from dask_sql._compat import PQ_IS_SUPPORT, PQ_NOT_IN_SUPPORT
-
 logger = logging.getLogger(__name__)
 
 
@@ -501,8 +499,6 @@ def _get_blockwise_input(input_index, indices: list, dsk: RegenerableGraph):
 
 
 def _inv(symbol: str):
-    if symbol == "in" and not PQ_NOT_IN_SUPPORT:
-        raise ValueError("This version of dask does not support 'not in'")
     return {
         ">": "<",
         "<": ">",
@@ -568,8 +564,6 @@ def _blockwise_isin_dnf(op, indices: list, dsk: RegenerableGraph) -> DNF:
 
 def _blockwise_isna_dnf(op, indices: list, dsk: RegenerableGraph) -> DNF:
     # Return DNF expression pattern for `isna`
-    if not PQ_IS_SUPPORT:
-        raise ValueError("This version of dask does not support 'is' predicates.")
     left = _get_blockwise_input(0, indices, dsk)
     return DNF((left, "is", None))
 

docs/environment.yml

@@ -6,14 +6,14 @@ dependencies:
   - sphinx>=4.0.0
   - sphinx-tabs
   - dask-sphinx-theme>=2.0.3
-  - dask>=2022.3.0
+  - dask==2024.1.1
   - pandas>=1.4.0
   - fugue>=0.7.3
   # FIXME: https://github.com/fugue-project/fugue/issues/526
   - triad<0.9.2
   - fastapi>=0.92.0
   - httpx>=0.24.1
-  - uvicorn>=0.13.4
+  - uvicorn>=0.14
   - tzlocal>=2.1
   - prompt_toolkit>=3.0.8
   - pygments>=2.7.1

docs/requirements-docs.txt

@@ -1,14 +1,14 @@
 sphinx>=4.0.0
 sphinx-tabs
 dask-sphinx-theme>=3.0.0
-dask>=2022.3.0
+dask==2024.1.1
 pandas>=1.4.0
 fugue>=0.7.3
 # FIXME: https://github.com/fugue-project/fugue/issues/526
 triad<0.9.2
 fastapi>=0.92.0
 httpx>=0.24.1
-uvicorn>=0.13.4
+uvicorn>=0.14
 tzlocal>=2.1
 prompt_toolkit>=3.0.8
 pygments>=2.7.1

pyproject.toml

@@ -27,12 +27,12 @@ classifiers = [
 readme = "README.md"
 requires-python = ">=3.9"
 dependencies = [
-    "dask[dataframe]>=2022.3.0",
-    "distributed>=2022.3.0",
+    "dask[dataframe]==2024.1.1",
+    "distributed==2024.1.1",
     "pandas>=1.4.0",
     "fastapi>=0.92.0",
     "httpx>=0.24.1",
-    "uvicorn>=0.13.4",
+    "uvicorn>=0.14",
     "tzlocal>=2.1",
     "prompt_toolkit>=3.0.8",
     "pygments>=2.7.1",

tests/integration/test_filter.py

@@ -5,7 +5,6 @@
 from dask.utils_test import hlg_layer
 from packaging.version import parse as parseVersion
 
-from dask_sql._compat import PQ_IS_SUPPORT, PQ_NOT_IN_SUPPORT
 from tests.utils import assert_eq
 
 DASK_GT_2022_4_2 = parseVersion(dask.__version__) >= parseVersion("2022.4.2")
@@ -182,10 +181,6 @@ def test_filter_year(c):
             "SELECT * FROM parquet_ddf WHERE b NOT IN (1, 3, 5, 6)",
             lambda x: x[~x["b"].isin([1, 3, 5, 6])],
             [[("b", "not in", (1, 3, 5, 6))]],
-            marks=pytest.mark.skipif(
-                not PQ_NOT_IN_SUPPORT,
-                reason="Requires https://github.com/dask/dask/pull/10320",
-            ),
         ),
         (
             "SELECT a FROM parquet_ddf WHERE (b > 5 AND b < 10) OR a = 1",
@@ -317,10 +312,6 @@ def test_filter_decimal(c, gpu):
     c.drop_table("df")
 
 
-@pytest.mark.skipif(
-    not PQ_IS_SUPPORT,
-    reason="Requires https://github.com/dask/dask/pull/10320",
-)
 def test_predicate_pushdown_isna(tmpdir):
     from dask_sql.context import Context
 

tests/integration/test_join.py

@@ -5,7 +5,6 @@
 from dask.utils_test import hlg_layer
 
 from dask_sql import Context
-from dask_sql._compat import BROADCAST_JOIN_SUPPORT_WORKING
 from dask_sql.datacontainer import Statistics
 from tests.utils import assert_eq
 
@@ -524,10 +523,6 @@ def test_join_reorder(c):
     assert_eq(result_df, expected_df, check_index=False)
 
 
-@pytest.mark.xfail(
-    not BROADCAST_JOIN_SUPPORT_WORKING,
-    reason="Broadcast Joins do not work as expected with dask<2023.1.1",
-)
 @pytest.mark.parametrize("gpu", [False, pytest.param(True, marks=pytest.mark.gpu)])
 def test_broadcast_join(c, client, gpu):
     df1 = dd.from_pandas(