Github user brkyvz commented on a diff in the pull request: https://github.com/apache/spark/pull/17467#discussion_r114584091 --- Diff: docs/streaming-kinesis-integration.md --- @@ -216,3 +216,7 @@ de-aggregate records during consumption. - If no Kinesis checkpoint info exists when the input DStream starts, it will start either from the oldest record available (`InitialPositionInStream.TRIM_HORIZON`) or from the latest tip (`InitialPositionInStream.LATEST`). This is configurable. - `InitialPositionInStream.LATEST` could lead to missed records if data is added to the stream while no input DStreams are running (and no checkpoint info is being stored). - `InitialPositionInStream.TRIM_HORIZON` may lead to duplicate processing of records where the impact is dependent on checkpoint frequency and processing idempotency. + +#### Kinesis retry configuration + - `spark.streaming.kinesis.retry.waitTime` : Wait time between Kinesis retries as a duration string. When reading from Amazon Kinesis, users may hit 'ThroughputExceededExceptions', when consuming faster than 5 transactions/second or, exceeding the maximum read rate of 2 MB/second. This configuration can be tweaked to increase the sleep between fetches when a fetch fails to reduce these exceptions. Default is "100ms". + - `spark.streaming.kinesis.retry.maxAttempts` : Max number of retries for Kinesis fetches. This config can also be used to tackle the Kinesis `ThroughputExceededExceptions` in scenarios mentioned above. It can be increased to have more number of retries for Kinesis reads. Default is 3. --- End diff -- ditto
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org