Cheng Lian created SPARK-2589:
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Summary: Support HAVING clause generated by Tableau
Key: SPARK-2589
URL: https://issues.apache.org/jira/browse/SPARK-2589
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.0.1, 1.0.2
Reporter: Cheng Lian
The query on how Tableau generates # of records:
{code}
SELECT SUM(1) AS `sum_number_of_records_ok` FROM `some_db`.`some_table`
`some_table` GROUP BY 1 HAVING (COUNT(1) > 0)
{code}
The following query can be used to reproduce this issue under {{sbt
hive/console}}
{code}
select sum(1) from src group by 1 having (count(1) > 0);
{code}
Exception stacktrace:
{code}
org.apache.spark.sql.catalyst.errors.package$TreeNodeException (No function to
evaluate expression. type: Count, tree: COUNT(1))
org.apache.spark.sql.catalyst.expressions.AggregateExpression.eval(aggregates.scala:40)
org.apache.spark.sql.catalyst.expressions.Expression.c2(Expression.scala:207)
org.apache.spark.sql.catalyst.expressions.GreaterThan.eval(predicates.scala:168)
org.apache.spark.sql.execution.Filter$$anonfun$2$$anonfun$apply$1.apply(basicOperators.scala:54)
org.apache.spark.sql.execution.Filter$$anonfun$2$$anonfun$apply$1.apply(basicOperators.scala:54)
scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:390)
scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
scala.collection.Iterator$class.foreach(Iterator.scala:727)
scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
scala.collection.AbstractIterator.to(Iterator.scala:1157)
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
org.apache.spark.rdd.RDD$$anonfun$org$apache$spark$rdd$RDD$$collectPartition$1$1.apply(RDD.scala:773)
org.apache.spark.rdd.RDD$$anonfun$org$apache$spark$rdd$RDD$$collectPartition$1$1.apply(RDD.scala:773)
org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1096)
org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1096)
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:112)
org.apache.spark.scheduler.Task.run(Task.scala:51)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:189)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:745)
{code}
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