Github user hvanhovell commented on a diff in the pull request: https://github.com/apache/spark/pull/14568#discussion_r74437337 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/MonotonicallyIncreasingID.scala --- @@ -40,13 +42,23 @@ import org.apache.spark.sql.types.{DataType, LongType} represent the record number within each partition. The assumption is that the data frame has less than 1 billion partitions, and each partition has less than 8 billion records.""", extended = "> SELECT _FUNC_();\n 0") -case class MonotonicallyIncreasingID() extends LeafExpression with Nondeterministic { +case class MonotonicallyIncreasingID(offset: Long = 0) extends LeafExpression + with Nondeterministic with Logging { + + def this() = { + this(offset = 0) + } + + def this(offset: Expression) = { + this(offset = MonotonicallyIncreasingID.parseExpression(offset)) + logDebug(s"offset is $offset") + } /** - * Record ID within each partition. By being transient, count's value is reset to 0 every time - * we serialize and deserialize and initialize it. + * Record ID within each partition. By being transient, count's value is reset to offset every + * time we serialize and deserialize and initialize it. */ - @transient private[this] var count: Long = _ + @transient private[this] var count: Long = offset --- End diff -- This probably does not work. You need to set the value in the `MonotonicallyIncreasingID.initInternal()`. This is why your tests are failing.
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