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A data engineer has set up a real-time streaming job using Structured Streaming to read from an existing table, apply some transformations, and then output the results into a new table. The code for this job looks like this: spark . table ( "orders" ) . withColumn ( "avg_order_value" , col ( "revenue" ) / col ( "quantity" )) . writeStream . option ( "checkpointLocation" , checkpointPath ) . outputMode ( "complete" ) . table ( "processed_orders" ) If no trigger method is explicitly defined in the code, what is the default time interval that the system will use to process the next set of data?