Azure ML中的参数化SQL查询

背景：似乎有一种方法可以使用

PipelineParameter

但是我想用PipelineParameter参数化我的SQL查询，例如，用这个查询

sql_query = """
SELECT id, foo, bar FROM baz
WHERE baz.id BETWEEN 10 AND 20
"""
dataset = Dataset.Tabular.from_sql_query((sql_datastore, sql_query))

---

我想使用PipelineParameter将

10

和

20

参数化为

param_1

和

param_2

。这可能吗？

找到了一种方法：

将参数传递给PythonScriptStep

param_1 = PipelineParameter(name='min_id', default_value=5)
param_2 = PipelineParameter(name='max_id', default_value=10)
sql_datastore = "sql_datastore"
step = PythonScriptStep(script_name='script.py', arguments=[param_1, param_2, 
sql_datastore])

在script.py中

min_id_param = sys.argv[1]
max_id_param = sys.argv[2]
sql_datastore_name = sys.argv[3]
query = """
SELECT id, foo, bar FROM baz
WHERE baz.id BETWEEN {} AND {}
""".format(min_id_param, max_id_param)
run = Run.get_context()
sql_datastore = Datastore.get(run.experiment.workspace, sql_datastore_name)
dataset = Dataset.Tabular.from_sql_query((sql_datastore, query))