Data is not loaded when creating two different streaming table from one delta live table pipeline

[zero234]

 i am trying to create 2 streaming tables in one DLT pipleine , both read json data from different locations and both have different schema , the pipeline executes but no data is inserted in both the tables.
where as when i try to run each table individually they execute perfectly

is it because DLT cannot process two different streaming table at once.?

DF = spark.readStream.format("json") \

      .schema(schema) \

      .option("header", True) \

      .option("nullValue", "") \

      .load(source_path + "/*.json")