Re: Clarification with Spark Structured Streaming

2023-10-09 Thread Danilo Sousa
Unsubscribe > Em 9 de out. de 2023, à(s) 07:03, Mich Talebzadeh > escreveu: > > Hi, > > Please see my responses below: > > 1) In Spark Structured Streaming does commit mean streaming data has been > delivered to the sink like Snowflake? > > No. a commit does not refer to data being

Re: Clarification with Spark Structured Streaming

2023-10-09 Thread Mich Talebzadeh
Your mileage varies. Often there is a flavour of Cloud Data warehouse already there. CDWs like BigQuery, Redshift, Snowflake and so forth. They can all do a good job for various degrees - Use efficient data types. Choose data types that are efficient for Spark to process. For example, use

Re: Clarification with Spark Structured Streaming

2023-10-09 Thread ashok34...@yahoo.com.INVALID
Thank you for your feedback Mich. In general how can one optimise the cloud data warehouses (the sink part), to handle streaming Spark data efficiently, avoiding bottlenecks that discussed. AKOn Monday, 9 October 2023 at 11:04:41 BST, Mich Talebzadeh wrote: Hi, Please see my

Re: Clarification with Spark Structured Streaming

2023-10-09 Thread Mich Talebzadeh
Hi, Please see my responses below: 1) In Spark Structured Streaming does commit mean streaming data has been delivered to the sink like Snowflake? No. a commit does not refer to data being delivered to a sink like Snowflake or bigQuery. The term commit refers to Spark Structured Streaming (SS)

Clarification with Spark Structured Streaming

2023-10-08 Thread ashok34...@yahoo.com.INVALID
Hello team 1) In Spark Structured Streaming does commit mean streaming data has been delivered to the sink like Snowflake? 2) if sinks like Snowflake  cannot absorb or digest streaming data in a timely manner, will there be an impact on spark streaming itself? Thanks AK