SELECT c27, 1, c0, rpad(c27, 1, c0) AS x FROM test1 ORDER BY c27, 1, c0;

Created table test1 with schema:
    c0: StringType
    c27: StringType

[ERROR] Query failed in native engine comet: Job aborted due to stage failure: Task 0 in stage 1318.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1318.0 (TID 915) (runnervm3ublj executor driver): org.apache.comet.CometNativeException: Unsupported arguments [Array(StringArray
[
  "8565193544385836345",
  "慄暗瘈뱑ᦺ㸼鶫韷",
  "103",
  null,
  "-3852769133872082214",
  "0.2587759106724863",
  "-38",
  "0.6385826953937865",
  "⿇踖呺懗㖀鑶儧閊",
  "㊆뇽跎箸旨꠲\u{30b}길",
  ...180 elements...,
  null,
  "眚厏⠏Ꮄ하밸\u{aab7}㞱",
  null,
  "光첷䑃絺㊈꺒䛢쟪",
  "-80",
  "鯾炲놼ਬꘑ婀闍讉",
  "蛒떓浀箼鷒㠎ዹ鯤",
  "ꡇᶠ歿釥꼙쪘忖롘",
  "䤲笛洒㵮官嘧ᄪ徹",
  "4",
]), Scalar(Int32(1)), Array(StringArray
[
  "㩠㝗긂쒼⎲ⱱ濥\u{a7ec}",
  "ꌙ풇렾ꑵ㠚㑘\u{1755}됩",
  "-103",
  "喜㏦驛궉凝Ἁ鴏Ȼ",
  "ラ滓⾈픻뀋牵딻䟦",
  "49",
  "122",
  "0.2134187034749193",
  null,
  null,
  ...180 elements...,
  "峙ℰ䫭䀳䧢Ίඖ슐",
  "-109",
  null,
  "123",
  "㕅캳밚⁄樉킿햇頉",
  "3439690211593789959",
  "0.6273652139162924",
  "뤷澓⎮ᨙ픶賀㶂㫆",
  "34",
  "價籌䋥款礱ⲉlj\u{abe8}",
])] for function rpad/read_side_padding.
This issue was likely caused by a bug in DataFusion's code. Please help us to resolve this by filing a bug report in our issue tracker: https://github.com/apache/datafusion/issues
	at org.apache.comet.Native.executePlan(Native Method)
	at org.apache.comet.CometExecIterator.$anonfun$getNextBatch$2(CometExecIterator.scala:173)
	at org.apache.comet.CometExecIterator.$anonfun$getNextBatch$2$adapted(CometExecIterator.scala:172)
	at org.apache.comet.vector.NativeUtil.getNextBatch(NativeUtil.scala:212)
	at org.apache.comet.CometExecIterator.$anonfun$getNextBatch$1(CometExecIterator.scala:172)
	at org.apache.comet.Tracing$.withTrace(Tracing.scala:31)
	at org.apache.comet.CometExecIterator.getNextBatch(CometExecIterator.scala:170)
	at org.apache.comet.CometExecIterator.hasNext(CometExecIterator.scala:221)
	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
	at org.apache.spark.util.random.SamplingUtils$.reservoirSampleAndCount(SamplingUtils.scala:41)
	at org.apache.spark.RangePartitioner$.$anonfun$sketch$1(Partitioner.scala:322)
	at org.apache.spark.RangePartitioner$.$anonfun$sketch$1$adapted(Partitioner.scala:320)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2(RDD.scala:910)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2$adapted(RDD.scala:910)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:331)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
	at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)
	at org.apache.spark.scheduler.Task.run(Task.scala:141)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:621)
	at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
	at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:624)
	at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
	at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
	at java.base/java.lang.Thread.run(Thread.java:840)

Driver stacktrace::