Since there is already Average, the simplest change is the following:
$ git diff
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala
diff --git
a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala
b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Functi
index 3dce6c1..920f95b 100644
---
a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala
+++
b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala
@@ -184,6 +184,7 @@ object FunctionRegistry {
expression[Last]("last"),
expression[Last]("last_value"),
expression[Max]("max"),
+ expression[Average]("mean"),
expression[Min]("min"),
expression[Stddev]("stddev"),
expression[StddevPop]("stddev_pop"),
FYI
On Wed, Oct 28, 2015 at 2:07 AM, Shagun Sodhani <sshagunsodh...@gmail.com>
wrote:
> I tried adding the aggregate functions in the registry and they work,
> other than mean, for which Ted has forwarded some code changes. I will try
> out those changes and update the status here.
>
> On Wed, Oct 28, 2015 at 9:03 AM, Shagun Sodhani <sshagunsodh...@gmail.com>
> wrote:
>
>> Yup avg works good. So we have alternate functions to use in place on the
>> functions pointed out earlier. But my point is that are those original
>> aggregate functions not supposed to be used or I am using them in the wrong
>> way or is it a bug as I asked in my first mail.
>>
>> On Wed, Oct 28, 2015 at 3:20 AM, Ted Yu <yuzhih...@gmail.com> wrote:
>>
>>> Have you tried using avg in place of mean ?
>>>
>>> (1 to 5).foreach { i => val df = (1 to 1000).map(j => (j,
>>> s"str$j")).toDF("a", "b").save(s"/tmp/partitioned/i=$i") }
>>> sqlContext.sql("""
>>> CREATE TEMPORARY TABLE partitionedParquet
>>> USING org.apache.spark.sql.parquet
>>> OPTIONS (
>>> path '/tmp/partitioned'
>>> )""")
>>> sqlContext.sql("""select avg(a) from partitionedParquet""").show()
>>>
>>> Cheers
>>>
>>> On Tue, Oct 27, 2015 at 10:12 AM, Shagun Sodhani <
>>> sshagunsodh...@gmail.com> wrote:
>>>
>>>> So I tried @Reynold's suggestion. I could get countDistinct and
>>>> sumDistinct running but mean and approxCountDistinct do not work. (I
>>>> guess I am using the wrong syntax for approxCountDistinct) For mean, I
>>>> think the registry entry is missing. Can someone clarify that as well?
>>>>
>>>> On Tue, Oct 27, 2015 at 8:02 PM, Shagun Sodhani <
>>>> sshagunsodh...@gmail.com> wrote:
>>>>
>>>>> Will try in a while when I get back. I assume this applies to all
>>>>> functions other than mean. Also countDistinct is defined along with all
>>>>> other SQL functions. So I don't get "distinct is not part of function
>>>>> name"
>>>>> part.
>>>>> On 27 Oct 2015 19:58, "Reynold Xin" <r...@databricks.com> wrote:
>>>>>
>>>>>> Try
>>>>>>
>>>>>> count(distinct columnane)
>>>>>>
>>>>>> In SQL distinct is not part of the function name.
>>>>>>
>>>>>> On Tuesday, October 27, 2015, Shagun Sodhani <
>>>>>> sshagunsodh...@gmail.com> wrote:
>>>>>>
>>>>>>> Oops seems I made a mistake. The error message is : Exception in
>>>>>>> thread "main" org.apache.spark.sql.AnalysisException: undefined function
>>>>>>> countDistinct
>>>>>>> On 27 Oct 2015 15:49, "Shagun Sodhani" <sshagunsodh...@gmail.com>
>>>>>>> wrote:
>>>>>>>
>>>>>>>> Hi! I was trying out some aggregate functions in SparkSql and I
>>>>>>>> noticed that certain aggregate operators are not working. This
>>>>>>>> includes:
>>>>>>>>
>>>>>>>> approxCountDistinct
>>>>>>>> countDistinct
>>>>>>>> mean
>>>>>>>> sumDistinct
>>>>>>>>
>>>>>>>> For example using countDistinct results in an error saying
>>>>>>>> *Exception in thread "main" org.apache.spark.sql.AnalysisException:
>>>>>>>> undefined function cosh;*
>>>>>>>>
>>>>>>>> I had a similar issue with cosh operator
>>>>>>>> <http://apache-spark-developers-list.1001551.n3.nabble.com/Exception-when-using-cosh-td14724.html>
>>>>>>>> as well some time back and it turned out that it was not registered in
>>>>>>>> the
>>>>>>>> registry:
>>>>>>>> https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala
>>>>>>>>
>>>>>>>>
>>>>>>>> *I* *think it is the same issue again and would be glad to send
>>>>>>>> over a PR if someone can confirm if this is an actual bug and not some
>>>>>>>> mistake on my part.*
>>>>>>>>
>>>>>>>>
>>>>>>>> Query I am using: SELECT countDistinct(`age`) as `data` FROM `table`
>>>>>>>> Spark Version: 10.4
>>>>>>>> SparkSql Version: 1.5.1
>>>>>>>>
>>>>>>>> I am using the standard example of (name, age) schema (though I am
>>>>>>>> setting age as Double and not Int as I am trying out maths functions).
>>>>>>>>
>>>>>>>> The entire error stack can be found here
>>>>>>>> <http://pastebin.com/G6YzQXnn>.
>>>>>>>>
>>>>>>>> Thanks!
>>>>>>>>
>>>>>>>
>>>>
>>>
>>
>
