Yes, https://issues.apache.org/jira/browse/SPARK-2576 is used to track it.
On Wed, Jul 23, 2014 at 9:11 AM, Nicholas Chammas <
nicholas.cham...@gmail.com> wrote:
> Do we have a JIRA issue to track this? I think I've run into a similar
> issue.
>
>
> On Wed, Jul 23, 2014 at 1:12 AM, Yin Huai <yh...@databricks.com> wrote:
>
>> It is caused by a bug in Spark REPL. I still do not know which part of
>> the REPL code causes it... I think people working REPL may have better
>> idea.
>>
>> Regarding how I found it, based on exception, it seems we pulled in some
>> irrelevant stuff and that import was pretty suspicious.
>>
>> Thanks,
>>
>> Yin
>>
>>
>> On Tue, Jul 22, 2014 at 12:53 AM, Victor Sheng <victorsheng...@gmail.com>
>> wrote:
>>
>>> Hi, Yin Huai
>>> I test again with your snippet code.
>>> It works well in spark-1.0.1
>>>
>>> Here is my code:
>>>
>>> val sqlContext = new org.apache.spark.sql.SQLContext(sc)
>>> case class Record(data_date: String, mobile: String, create_time:
>>> String)
>>> val mobile = Record("2014-07-20","1234567","2014-07-19")
>>> val lm = List(mobile)
>>> val mobileRDD = sc.makeRDD(lm)
>>> val mobileSchemaRDD = sqlContext.createSchemaRDD(mobileRDD)
>>> mobileSchemaRDD.registerAsTable("mobile")
>>> sqlContext.sql("select count(1) from mobile").collect()
>>>
>>> The Result is like below:
>>> 14/07/22 15:49:53 INFO spark.SparkContext: Job finished: collect at
>>> SparkPlan.scala:52, took 0.296864832 s
>>> res9: Array[org.apache.spark.sql.Row] = Array([1])
>>>
>>>
>>> But what is the main cause of this exception? And how you find it out
>>> by
>>> looking some unknown characters like $line11.$read$
>>> $line12.$read$$iwC$$iwC$$iwC$$iwC$$anonfun$ ?
>>>
>>> Thanks,
>>> Victor
>>>
>>>
>>>
>>>
>>> --
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>>>
>>
>>
>
