Thanks, Mich .. that worked fine!
On Mon, Feb 7, 2022 at 1:55 PM Mich Talebzadeh <mich.talebza...@gmail.com> wrote: > read below > > """ > "foreach" performs custom write logic on each row and > "foreachBatch" performs custom write logic on each micro-batch through > SendToBigQuery function > *foreachBatch(SendToBigQuery) expects 2 parameters, > first: micro-batch as DataFrame or Dataset and second: unique id for each > batch --> batchId* > Using foreachBatch, we write each micro batch to storage > defined in our custom logic. In this case, we store the output of our > streaming application to Google BigQuery table. > Note that we are appending data and column "rowkey" is > defined as UUID so it can be used as the primary key > """ > 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(SendToBigQuery)*. \ > trigger(processingTime='2 seconds'). \ > start() > > now you define your function *SendToBigQuery() * > > > *def SendToBigQuery(df, batchId):* > > if(len(df.take(1))) > 0: > > df.printSchema() > > print(f"""batchId is {batchId}""") > > rows = df.count() > > print(f""" Total records processed in this run = {rows}""") > > ...... > > else: > > print("DataFrame is empty") > > *HTH* > > > 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. > > > > > On Mon, 7 Feb 2022 at 21:06, karan alang <karan.al...@gmail.com> wrote: > >> Hello All, >> >> I'm using StructuredStreaming to read data from Kafka, and need to do >> transformation on each individual row. >> >> I'm trying to use 'foreach' (or foreachBatch), and running into issues. >> Basic question - how is the row passed to the function when foreach is >> used ? >> >> Also, when I use foreachBatch, seems the BatchId is available in the >> function called ? How do I access individual rows ? >> >> Details are in stackoverflow : >> >> https://stackoverflow.com/questions/71025312/structuredstreaming-foreach-foreachbatch-not-working >> >> What is the best approach for this use-case ? >> >> tia! >> >