Cannot filter by nonexisting column in parquet file

  import org.apache.spark.SparkConf
  import org.apache.spark.sql.SparkSession
  import org.apache.spark.sql.types.DataTypes._
  import org.apache.spark.sql.types.{StructField, StructType}

  val sc = SparkSession.builder().config(new SparkConf().setMaster("local")).getOrCreate()

  val jsonRDD = sc.sparkContext.parallelize(Seq("""{"a":1}"""))

  sc.read
    .schema(StructType(Seq(StructField("a", IntegerType))))
    .json(jsonRDD)
    .write
    .parquet("/tmp/test")

  sc.read
    .schema(StructType(Seq(StructField("a", IntegerType), StructField("b", IntegerType, nullable = true))))
    .load("/tmp/test")
    .createOrReplaceTempView("table")

  sc.sql("select b from table where b is not null").show()

16/11/22 17:43:47 ERROR Executor: Exception in task 0.0 in stage 1.0 (TID 1)
java.lang.IllegalArgumentException: Column [b] was not found in schema!
	at org.apache.parquet.Preconditions.checkArgument(Preconditions.java:55)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.getColumnDescriptor(SchemaCompatibilityValidator.java:190)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumn(SchemaCompatibilityValidator.java:178)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumnFilterPredicate(SchemaCompatibilityValidator.java:160)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:100)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:59)
	at org.apache.parquet.filter2.predicate.Operators$NotEq.accept(Operators.java:194)
	at org.apache.parquet.filter2.predicate.SchemaCompatibilityValidator.validate(SchemaCompatibilityValidator.java:64)
	at org.apache.parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:59)
	at org.apache.parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:40)
	at org.apache.parquet.filter2.compat.FilterCompat$FilterPredicateCompat.accept(FilterCompat.java:126)
	at org.apache.parquet.filter2.compat.RowGroupFilter.filterRowGroups(RowGroupFilter.java:46)
	at org.apache.spark.sql.execution.datasources.parquet.SpecificParquetRecordReaderBase.initialize(SpecificParquetRecordReaderBase.java:110)
	at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initialize(VectorizedParquetRecordReader.java:109)
	at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReader$1.apply(ParquetFileFormat.scala:367)
	at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReader$1.apply(ParquetFileFormat.scala:341)
	at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:116)
	at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:91)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240)
	at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)
	at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
	at org.apache.spark.scheduler.Task.run(Task.scala:86)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)

+---+
|  b|
+---+
+---+

== Parsed Logical Plan ==
'Project ['b]
+- 'Filter isnotnull('b)
   +- 'UnresolvedRelation `table`

== Analyzed Logical Plan ==
b: int
Project [b#8]
+- Filter isnotnull(b#8)
   +- SubqueryAlias table
      +- Relation[a#7,b#8] parquet

== Optimized Logical Plan ==
Project [b#8]
+- Filter isnotnull(b#8)
   +- Relation[a#7,b#8] parquet

== Physical Plan ==
*Project [b#8]
+- *Filter isnotnull(b#8)
   +- *BatchedScan parquet [b#8] Format: ParquetFormat, InputPaths: file:/tmp/test, PartitionFilters: [], PushedFilters: [IsNotNull(b)], ReadSchema: struct<b:int>