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Gabor Somogyi edited comment on SPARK-26783 at 2/27/19 2:56 PM: ---------------------------------------------------------------- I've gone through the whole chain on v2.4.0 and it looks good (the batch part only because the original issue was there). The only thing what I can assume [~sindiri] has seen is [this line|https://github.com/apache/spark/blob/b0450d07bd5a77a519a662351ca5b5d562e61a58/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaSourceProvider.scala#L460] when mentioned the following: {quote}the variable that needs to be used is "failondataloss" (all in lower case) {quote} I'm closing this issue. Please come back if you have further info or correct me if my assumption is wrong. was (Author: gsomogyi): I've gone through the whole chain on v2.4.0 and it looks good (the batch part only because the original issue was there). The only thing what I can assume [~sindiri] has seen is [this line|https://github.com/apache/spark/blob/b0450d07bd5a77a519a662351ca5b5d562e61a58/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaSourceProvider.scala#L460] when mentioned the following: {quote}the variable that needs to be used is "failondataloss" (all in lower case) {quote} I'm closing this issue. Please come back and correct me if you have further info or my assumption is wrong. > Kafka parameter documentation doesn't match with the reality (upper/lowercase) > ------------------------------------------------------------------------------ > > Key: SPARK-26783 > URL: https://issues.apache.org/jira/browse/SPARK-26783 > Project: Spark > Issue Type: Bug > Components: Structured Streaming > Affects Versions: 3.0.0 > Reporter: Gabor Somogyi > Priority: Minor > > A good example for this is "failOnDataLoss" which is reported in SPARK-23685. > I've just checked and there are several other parameters which suffer from > the same issue. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org