在Spark SqlContext中覆盖表

Question

What is the recommended way to overwrite a table in Spark SqlContext? Is it OK to directly call

modified_df.registerTempTable("same_table_name")

without dropping the table in sqlContext?

Answer 1

Best practice would likely be to explicitly drop the table to avoid confusion. But, the above code will overwrite the table as you would expect.