Re: Apache Spark - Spark Structured Streaming - Watermark usage

Hi Jacek: Thanks for your response. I am just trying to understand the fundamentals of watermarking and how it behaves in aggregation vs non-aggregation scenarios. On Tuesday, February 6, 2018 9:04 AM, Jacek Laskowski wrote: Hi, What would you expect? The data is

Re: Apache Spark - Spark Structured Streaming - Watermark usage

Hi, What would you expect? The data is simply dropped as that's the purpose of watermarking it. That's my understanding at least. Pozdrawiam, Jacek Laskowski https://about.me/JacekLaskowski Mastering Spark SQL https://bit.ly/mastering-spark-sql Spark Structured Streaming

Re: Apache Spark - Spark Structured Streaming - Watermark usage

Just checking if anyone has more details on how watermark works in cases where event time is earlier than processing time stamp. On Friday, February 2, 2018 8:47 AM, M Singh wrote: Hi Vishu/Jacek: Thanks for your responses. Jacek - At the moment, the current time

Re: Apache Spark - Spark Structured Streaming - Watermark usage

Hi Vishu/Jacek: Thanks for your responses. Jacek - At the moment, the current time for my use case is processing time. Vishnu - Spark documentation (https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html) does indicate that it can dedup using watermark.  So I believe

Re: Apache Spark - Spark Structured Streaming - Watermark usage

Hi Mans, Watermark is Spark is used to decide when to clear the state, so if the even it delayed more than when the state is cleared by Spark, then it will be ignored. I recently wrote a blog post on this : http://vishnuviswanath.com/spark_structured_streaming.html#watermark Yes, this State is

Re: Apache Spark - Spark Structured Streaming - Watermark usage

Hi, I'm curious how would you do the requirement "by a certain amount of time" without a watermark? How would you know what's current and compute the lag? Let's forget about watermark for a moment and see if it pops up as an inevitable feature :) "I am trying to filter out records which are

Apache Spark - Spark Structured Streaming - Watermark usage

Hi: I am trying to filter out records which are lagging behind (based on event time) by a certain amount of time.   Is the watermark api applicable to this scenario (ie, filtering lagging records) or it is only applicable with aggregation ?  I could not get a clear understanding from the