SSH Tunneling issue with Apache Spark

Hi Team, I am facing an issue with SSH Tunneling in Apache Spark. The behavior is same as the one in this Stackoverflow question but there are no answers there. This is what I am trying:

Re: [PySpark][Spark Dataframe][Observation] Why empty dataframe join doesn't let you get metrics from observation?

Hi Michail, with spark.conf.set("spark.sql.planChangeLog.level", "WARN") you can see how Spark optimizes the query plan. In PySpark, the plan is optimized into Project ...   +- CollectMetrics 2, [count(1) AS count(1)#200L]   +- LocalTableScan , [col1#125, col2#126L, col3#127, col4#132L] The

ordering of rows in dataframe

want to maintain the order of the rows in the data frame in Pyspark. Is there any way to achieve this for this function here we have the row ID which will give numbering to each row. Currently, the below function results in the rearrangement of the row in the data frame. def createRowIdColumn(

Re: ordering of rows in dataframe

Looks like what you want is to add a column that, when ordered by that column, the current order of the dateframe is preserved. All you need is the monotonically_increasing_id() function: spark.range(0, 10, 1, 5).withColumn("row", monotonically_increasing_id()).show() +---+---+ | id|