dongjoon-hyun commented on a change in pull request #25345: [SPARK-28609][DOC] Fix broken styles/links and make up-to-date URL: https://github.com/apache/spark/pull/25345#discussion_r310340174
########## File path: docs/structured-streaming-programming-guide.md ########## @@ -27,7 +27,7 @@ Structured Streaming is a scalable and fault-tolerant stream processing engine b Internally, by default, Structured Streaming queries are processed using a *micro-batch processing* engine, which processes data streams as a series of small batch jobs thereby achieving end-to-end latencies as low as 100 milliseconds and exactly-once fault-tolerance guarantees. However, since Spark 2.3, we have introduced a new low-latency processing mode called **Continuous Processing**, which can achieve end-to-end latencies as low as 1 millisecond with at-least-once guarantees. Without changing the Dataset/DataFrame operations in your queries, you will be able to choose the mode based on your application requirements. -In this guide, we are going to walk you through the programming model and the APIs. We are going to explain the concepts mostly using the default micro-batch processing model, and then [later](#continuous-processing-experimental) discuss Continuous Processing model. First, let's start with a simple example of a Structured Streaming query - a streaming word count. +In this guide, we are going to walk you through the programming model and the APIs. We are going to explain the concepts mostly using the default micro-batch processing model, and then [later](#continuous-processing) discuss Continuous Processing model. First, let's start with a simple example of a Structured Streaming query - a streaming word count. Review comment: This fixes the broken link. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
