Blocker Description
val udf1 = udf({(x: Int, y: Int) => x + y})
val df = spark.range(0, 3).toDF("a")
.withColumn("b", udf1($"a", udf1($"a", lit(10))))
df.cache()
df.write.saveAsTable("t")
df.write.saveAsTable("t1")
Cache is not being used because the plans do not match with the cached plan. This is a regression caused by the changes we made in AnalysisBarrier, since not all the Analyzer rules are idempotent. We need to fix it to Spark 2.3.2
