mosche opened a new issue, #25296:
URL: https://github.com/apache/beam/issues/25296

   ### What happened?
   
   A bug in the collection encoder of the Spark dataset runner (aka Spark 
structured streaming runner) may result in corrupted data after a groupByKey if 
the dataset is converted to an RDD and persisted.
   
   The collection encoder just wraps the underlying serialized 
`UnsafeArrayData` for primitive types to present a Collection as a result of 
deserialization. However, Spark may reuse the underlying unsafe object and with 
that corrupt values.
   
   ```Java
     dataset.persist(storageLevel);
   
     System.out.println("\nContent of persisted dataset (1st eval)");
     dataset.foreach(printValue);
   
     System.out.println("\nContent of persisted dataset (2nd eval)");
     dataset.foreach(printValue);
   
     System.out.println("\nContent of rdd (1st eval)");
     dataset.rdd().foreach(printValue);
   
     System.out.println("\nContent of rdd (2nd eval)");
     dataset.rdd().foreach(printValue);
   
     System.out.println("\nContent of persisted rdd (1st eval)");
     dataset.rdd().persist().foreach(printValue);
   
     System.out.println("\nContent of persisted rdd (2nd eval)");
     dataset.rdd().persist().foreach(printValue);
   ```
   
   ```
   Content of persisted dataset (1st eval)
   key=k3 {@1797166500}, value=[0] {@621459392}
   key=k5 {@522613115}, value=[2147483647, -2147483648] {@50229760}
   key=k1 {@935655811}, value=[3, 4] {@1059339408}
   key=k2 {@1698407107}, value=[66, -33] {@1059339408}
   
   Content of persisted dataset (2nd eval)
   key=k3 {@491772294}, value=[0] {@1519705721}
   key=k1 {@1801297116}, value=[3, 4] {@929237815}
   key=k2 {@1278247606}, value=[66, -33] {@929237815}
   key=k5 {@1642777670}, value=[2147483647, -2147483648] {@822592932}
   
   Content of rdd (1st eval)
   key=k5 {@1706950017}, value=[2147483647, -2147483648] {@935984436}
   key=k1 {@830413362}, value=[3, 4] {@1431942185}
   key=k3 {@1807383422}, value=[0] {@1220036903}
   key=k2 {@1334173112}, value=[66, -33] {@1431942185}
   
   Content of rdd (2nd eval)
   key=k1 {@1977617218}, value=[3, 4] {@1966593054}
   key=k2 {@131385719}, value=[66, -33] {@1966593054}
   key=k3 {@966124643}, value=[0] {@4762028}
   key=k5 {@1477114665}, value=[2147483647, -2147483648] {@942837752}
   
   Content of persisted rdd (1st eval)
   key=k3 {@2050847337}, value=[0] {@83038769}
   key=k5 {@906982325}, value=[2147483647, -2147483648] {@714957170}
   key=k1 {@654493203}, value=[66, -33] {@1747607045}
   key=k2 {@287079803}, value=[66, -33] {@1747607045}
   
   Content of persisted rdd (2nd eval)
   key=k1 {@654493203}, value=[66, -33] {@1747607045}
   key=k2 {@287079803}, value=[66, -33] {@1747607045}
   key=k5 {@906982325}, value=[2147483647, -2147483648] {@714957170}
   key=k3 {@2050847337}, value=[0] {@83038769}
   ```
   
   
   
   ### Issue Priority
   
   Priority: 2 (default / most bugs should be filed as P2)
   
   ### Issue Components
   
   - [ ] Component: Python SDK
   - [ ] Component: Java SDK
   - [ ] Component: Go SDK
   - [ ] Component: Typescript SDK
   - [ ] Component: IO connector
   - [ ] Component: Beam examples
   - [ ] Component: Beam playground
   - [ ] Component: Beam katas
   - [ ] Component: Website
   - [X] Component: Spark Runner
   - [ ] Component: Flink Runner
   - [ ] Component: Samza Runner
   - [ ] Component: Twister2 Runner
   - [ ] Component: Hazelcast Jet Runner
   - [ ] Component: Google Cloud Dataflow Runner


-- 
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.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]

Reply via email to