2fd101b2f0
## What changes were proposed in this pull request? This PR adds `CachedKafkaConsumer.getAndIgnoreLostData` to handle corner cases of `failOnDataLoss=false`. It also resolves [SPARK-18529](https://issues.apache.org/jira/browse/SPARK-18529) after refactoring codes: Timeout will throw a TimeoutException. ## How was this patch tested? Because I cannot find any way to manually control the Kafka server to clean up logs, it's impossible to write unit tests for each corner case. Therefore, I just created `test("stress test for failOnDataLoss=false")` which should cover most of corner cases. I also modified some existing tests to test for both `failOnDataLoss=false` and `failOnDataLoss=true` to make sure it doesn't break existing logic. Author: Shixiong Zhu <shixiong@databricks.com> Closes #15820 from zsxwing/failOnDataLoss. |
||
|---|---|---|
| .. | ||
| docker | ||
| docker-integration-tests | ||
| flume | ||
| flume-assembly | ||
| flume-sink | ||
| java8-tests | ||
| kafka-0-8 | ||
| kafka-0-8-assembly | ||
| kafka-0-10 | ||
| kafka-0-10-assembly | ||
| kafka-0-10-sql | ||
| kinesis-asl | ||
| kinesis-asl-assembly | ||
| spark-ganglia-lgpl | ||