Hi,
I am dealing with two topics in SSS. Topic "md" returns market data values as per result = streamingDataFrame.select( \ col("parsed_value.rowkey").alias("rowkey") \ , col("parsed_value.ticker").alias("ticker") \ , col("parsed_value.timeissued").alias("timeissued") \ , col("parsed_value.price").alias("price")). \ writeStream. \ outputMode('append'). \ option("truncate", "false"). \ foreachBatch(*sendToSink*). \ trigger(processingTime='30 seconds'). \ Topic "newtopic" returns one row including status column newtopicResult = streamingNewtopic.select( \ col("newtopic_value.uuid").alias("uuid") \ , col("newtopic_value.timecreated").alias("timecreated") \ , col("newtopic_value.status").alias("status")). \ writeStream. \ outputMode('append'). \ option("truncate", "false"). \ foreachBatch(*sendToControl*). \ trigger(processingTime='2 seconds'). \ start() The method sendToSink writes values to a database BigQuery def sendToSink(df, batchId): if(len(df.take(1))) > 0: print(f"""{batchId}""") df.show(100) df. persist() # write to BigQuery batch table s.writeTableToBQ(df, "append", config['MDVariables']['targetDataset'],config['MDVariables']['targetTable']) df.unpersist() else: print("DataFrame is empty") The second method simply gets value for status column def sendToControl(dfnewtopic, batchId): if(len(dfnewtopic.take(1))) > 0: print(f"""newtopic batchId is {batchId}""") * status = dfnewtopic.select(col("status")).collect()[0][0]* else: print("DataFrame newtopic is empty") I need to be able to check the status value from the sendToControl method in the sendToSink method. Note that status values may be changing as per streaming. What would be the best approach? Thanks view my Linkedin profile <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/> *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction.