[jira] [Created] (SPARK-21627) hive compute stats for columns exception with column name camel case

["Bogdan Raducanu (JIRA)" <ji...@apache.org>]

Bogdan Raducanu created SPARK-21627:
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             Summary: hive compute stats for columns exception with column name camel case
                 Key: SPARK-21627
                 URL: https://issues.apache.org/jira/browse/SPARK-21627
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 3.0.0
            Reporter: Bogdan Raducanu


{code}
sql("create table tabel1(b int) partitioned by (partColumn int)")
sql("analyze table tabel1 compute statistics for columns partColumn, b")
{code}
{code}
java.util.NoSuchElementException: key not found: partColumn
  at scala.collection.MapLike$class.default(MapLike.scala:228)
  at scala.collection.AbstractMap.default(Map.scala:59)
  at scala.collection.MapLike$class.apply(MapLike.scala:141)
  at scala.collection.AbstractMap.apply(Map.scala:59)
  at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$alterTableStats$1$$anonfun$apply$mcV$sp$3.apply(HiveExternalCatalog.scala:648)
  at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$alterTableStats$1$$anonfun$apply$mcV$sp$3.apply(HiveExternalCatalog.scala:647)
  at scala.collection.immutable.Map$Map2.foreach(Map.scala:137)
  at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$alterTableStats$1.apply$mcV$sp(HiveExternalCatalog.scala:647)
  at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$alterTableStats$1.apply(HiveExternalCatalog.scala:634)
  at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$alterTableStats$1.apply(HiveExternalCatalog.scala:634)
  at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97)
  at org.apache.spark.sql.hive.HiveExternalCatalog.alterTableStats(HiveExternalCatalog.scala:634)
  at org.apache.spark.sql.catalyst.catalog.SessionCatalog.alterTableStats(SessionCatalog.scala:375)
  at org.apache.spark.sql.execution.command.AnalyzeColumnCommand.run(AnalyzeColumnCommand.scala:57)
  at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:78)
  at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:75)
  at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:91)
  at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:185)
  at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:185)
  at org.apache.spark.sql.Dataset$$anonfun$47.apply(Dataset.scala:3036)
  at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
  at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3035)
  at org.apache.spark.sql.Dataset.<init>(Dataset.scala:185)
  at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:70)
  at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:636)
  ... 39 elided
{code}

Looks like regression introduced by https://github.com/apache/spark/pull/18248
in {code}HiveExternalCatalog.alterTable{code}



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