andygrove commented on code in PR #48:
URL: https://github.com/apache/datafusion-ray/pull/48#discussion_r1846710378
##########
datafusion_ray/context.py:
##########
@@ -153,19 +141,24 @@ def sql(self, sql: str) -> pa.RecordBatch:
return []
df = self.df_ctx.sql(sql)
- execution_plan = df.execution_plan()
+ return self.plan(df.execution_plan())
+
+ def plan(self, execution_plan: Any) -> pa.RecordBatch:
graph = self.ctx.plan(execution_plan)
final_stage_id = graph.get_final_query_stage().id()
- partitions = schedule_execution(graph, final_stage_id, True)
+ # serialize the query stages and store in Ray object store
+ query_stages = [
Review Comment:
these are the serialized execution plans for each query stage:
```python
graph.get_query_stage(i).get_execution_plan_bytes()
```
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