[GitHub] [arrow-datafusion-python] andygrove opened a new pull request, #186: Add PyExectionPlan.execute method

["andygrove (via GitHub)" <gi...@apache.org>]

andygrove opened a new pull request, #186:
URL: https://github.com/apache/arrow-datafusion-python/pull/186

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[GitHub] [arrow-datafusion-python] andygrove merged pull request #186: Add ability to execute ExecutionPlan and get a stream of RecordBatch

["andygrove (via GitHub)" <gi...@apache.org>]

andygrove merged PR #186:
URL: https://github.com/apache/arrow-datafusion-python/pull/186


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[GitHub] [arrow-datafusion-python] jdye64 commented on a diff in pull request #186: Add ability to execute ExecutionPlan and get a stream of RecordBatch

["jdye64 (via GitHub)" <gi...@apache.org>]

jdye64 commented on code in PR #186:
URL: https://github.com/apache/arrow-datafusion-python/pull/186#discussion_r1108450806


##########
src/record_batch.rs:
##########
@@ -0,0 +1,64 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+use crate::utils::wait_for_future;
+use datafusion::arrow::pyarrow::PyArrowConvert;
+use datafusion::arrow::record_batch::RecordBatch;
+use datafusion::physical_plan::SendableRecordBatchStream;
+use futures::StreamExt;
+use pyo3::{pyclass, pymethods, PyObject, PyResult, Python};
+
+#[pyclass(name = "RecordBatch", module = "datafusion", subclass)]

Review Comment:
   Eventually I want to add a `datafusion.arrow` module but I don't quite have all the pieces in place for that yet.



##########
src/context.rs:
##########
@@ -579,6 +584,30 @@ impl PySessionContext {
             Err(err) => Ok(format!("Error: {:?}", err.to_string())),
         }
     }
+
+    /// Execute a partition of an execution plan and return a stream of record batches
+    pub fn execute(
+        &self,
+        plan: PyExecutionPlan,
+        part: usize,
+        py: Python,
+    ) -> PyResult<PyRecordBatchStream> {
+        let ctx = Arc::new(TaskContext::new(
+            "task_id".to_string(),

Review Comment:
   Created an issue for more general configuration setup https://github.com/apache/arrow-datafusion-python/issues/187



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