Add dask dataframe

python_modules/libraries/dagster-dask/dagster_dask/__init__.py

@@ -1,8 +1,12 @@
 from dagster.core.utils import check_dagster_package_version
 
+from .data_frame import DataFrame
 from .executor import dask_executor
 from .version import __version__
 
 check_dagster_package_version('dagster-dask', __version__)
 
-__all__ = ['dask_executor']
+__all__ = [
+    'DataFrame',
+    'dask_executor',
+]

python_modules/libraries/dagster-dask/dagster_dask_tests/num.csv

@@ -0,0 +1,3 @@
+num1,num2
+1,2
+3,4

python_modules/libraries/dagster-dask/dagster_dask_tests/num.json

@@ -0,0 +1,2 @@
+{"num1":1,"num2":2}
+{"num1":3,"num2":4}

python_modules/libraries/dagster-dask/dagster_dask_tests/test_data_frame.py

@@ -0,0 +1,70 @@
+import shutil
+
+import dask.dataframe as dd
+import pytest
+from dagster_dask import DataFrame
+from dask.dataframe.utils import assert_eq
+
+from dagster import InputDefinition, OutputDefinition, execute_solid, file_relative_path, solid
+from dagster.utils.test import get_temp_dir
+
+
+def create_dask_df():
+    path = file_relative_path(__file__, 'num.csv')
+    return dd.read_csv(path)
+
+
+@pytest.mark.parametrize(
+    'file_type,read,kwargs',
+    [
+        pytest.param('csv', dd.read_csv, {'index': False}, id='csv'),
+        pytest.param('parquet', dd.read_parquet, {'write_index': False}, id='parquet'),
+        pytest.param('json', dd.read_json, {}, id='json'),
+    ],
+)
+def test_dataframe_outputs(file_type, read, kwargs):
+    df = create_dask_df()
+
+    @solid(output_defs=[OutputDefinition(dagster_type=DataFrame, name='output_df')])
+    def return_df(_):
+        return df
+
+    with get_temp_dir() as temp_path:
+        shutil.rmtree(temp_path)
+        result = execute_solid(
+            return_df,
+            run_config={
+                'solids': {
+                    'return_df': {
+                        'outputs': [{'output_df': {file_type: {'path': temp_path, **kwargs}}}]
+                    }
+                }
+            },
+        )
+        assert result.success
+        actual = read(f"{temp_path}/*")
+        assert assert_eq(actual, df)
+
+
+@pytest.mark.parametrize(
+    'file_type',
+    [
+        pytest.param('csv', id='csv'),
+        pytest.param('parquet', id='parquet'),
+        pytest.param('json', id='json'),
+    ],
+)
+def test_dataframe_inputs(file_type):
+    @solid(input_defs=[InputDefinition(dagster_type=DataFrame, name='input_df')])
+    def return_df(_, input_df):
+        return input_df
+
+    file_name = file_relative_path(__file__, f"num.{file_type}")
+    result = execute_solid(
+        return_df,
+        run_config={
+            'solids': {'return_df': {'inputs': {'input_df': {file_type: {'path': file_name}}}}}
+        },
+    )
+    assert result.success
+    assert assert_eq(result.output_value(), create_dask_df())

python_modules/libraries/dagster-dask/dagster_dask_tests/test_execute.py

@@ -1,5 +1,5 @@
 import dagster_pandas as dagster_pd
-from dagster_dask import dask_executor
+from dagster_dask import DataFrame, dask_executor
 
 from dagster import (
     InputDefinition,
@@ -88,3 +88,35 @@ def test_pandas_dask():
     )
 
     assert result.success
+
+
+@solid(input_defs=[InputDefinition('df', DataFrame)])
+def dask_solid(_, df):  # pylint: disable=unused-argument
+    pass
+
+
+@pipeline(mode_defs=[ModeDefinition(executor_defs=default_executors + [dask_executor])])
+def dask_pipeline():
+    return dask_solid()
+
+
+def test_dask():
+    run_config = {
+        'solids': {
+            'dask_solid': {
+                'inputs': {'df': {'csv': {'path': file_relative_path(__file__, 'ex*.csv')}}}
+            }
+        }
+    }
+
+    result = execute_pipeline(
+        ReconstructablePipeline.for_file(__file__, dask_pipeline.name),
+        run_config={
+            'storage': {'filesystem': {}},
+            'execution': {'dask': {'config': {'cluster': {'local': {'timeout': 30}}}}},
+            **run_config,
+        },
+        instance=DagsterInstance.local_temp(),
+    )
+
+    assert result.success

python_modules/libraries/dagster-dask/dev-requirements.txt

@@ -0,0 +1,2 @@
+# we need `pyarrow` for testing read/write parquet files.
+pyarrow

python_modules/libraries/dagster-dask/setup.py

@@ -30,7 +30,7 @@ def get_version():
             'bokeh',
             'dagster',
             'dagster_graphql',
-            'dask>=1.2.2',
+            'dask[dataframe]>=1.2.2',
             'distributed>=1.28.1',
         ],
         extras_require={

python_modules/libraries/dagster-dask/tox.ini

@@ -10,6 +10,7 @@ deps =
   -e ../dagster-aws
   -e ../dagster-pandas
   -e .
+  -r dev-requirements.txt
 extras = yarn,pbs,kube
 usedevelop = true
 whitelist_externals =