L. C. Hsieh created SPARK-48073: ----------------------------------- Summary: StateStore schema incompatibility between 3.2 and 3.4 Key: SPARK-48073 URL: https://issues.apache.org/jira/browse/SPARK-48073 Project: Spark Issue Type: Bug Components: Structured Streaming Affects Versions: 3.2.4 Reporter: L. C. Hsieh
One our customer encountered some schema incompatibility problems when upgrading from Spark 3.2 to 3.4 with structured streaming application. It seems in 3.4 `Encoders.bean()` includes properties with only getter with or without setter, whereas in 3.2, only properties with both getter and setter are included. For example, here are schemas for an AtomicLong property/field generated by each version: 3.2: StructType(StructField(opaque,LongType,true),StructField(plain,LongType,true)) 3.4: StructType(StructField(acquire,LongType,false),StructField(andDecrement,LongType,false),StructField(andIncrement,LongType,false),StructField(opaque,LongType,false),StructField(plain,LongType,false)) Note that the null ability flag also changes. Primitive long schema has nullable=true in 3.2, but false in 3.4. I am not sure if the issue is aware by the community before, and if there is workaround for that? Thanks. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org