gt; Ishwardeep
>>
>>
>>
>>
>>
>> *From:* Michael Armbrust [mailto:mich...@databricks.com]
>> *Sent:* Wednesday, May 13, 2015 10:54 PM
>> *To:* ayan guha
>> *Cc:* Ishwardeep Singh; user
>> *Subject:* Re: [Spark SQL 1.3.1] data frame saveAs
;
>
>
> Michael do we have a tentative release date for Spark version 1.4?
>
>
>
> Regards,
>
> Ishwardeep
>
>
>
>
>
> *From:* Michael Armbrust [mailto:mich...@databricks.com]
> *Sent:* Wednesday, May 13, 2015 10:54 PM
> *To:* ayan guha
> *Cc:* Ishwar
ject: Re: [Spark SQL 1.3.1] data frame saveAsTable returns exception
I think this is a bug in our date handling that should be fixed in Spark 1.4.
On Wed, May 13, 2015 at 8:23 AM, ayan guha
mailto:guha.a...@gmail.com>> wrote:
Your stack trace says it can't convert date to integer.
I think this is a bug in our date handling that should be fixed in Spark
1.4.
On Wed, May 13, 2015 at 8:23 AM, ayan guha wrote:
> Your stack trace says it can't convert date to integer. You sure about
> column positions?
> On 13 May 2015 21:32, "Ishwardeep Singh"
> wrote:
>
>> Hi ,
>>
>> I am u
Your stack trace says it can't convert date to integer. You sure about
column positions?
On 13 May 2015 21:32, "Ishwardeep Singh"
wrote:
> Hi ,
>
> I am using Spark SQL 1.3.1.
>
> I have created a dataFrame using jdbc data source and am using
> saveAsTable()
> method but got the following 2 excep
Hi,
I am using spark-shell and the steps using which I can reproduce the issue
are as follows:
scala> val dateDimDF=
sqlContext.load("jdbc",Map("url"->"jdbc:teradata://192.168.145.58/DBS_PORT=1025,DATABASE=BENCHQADS,LOB_SUPPORT=OFF,USER=
BENCHQADS,PASSWORD=abc","dbtable" -> "date_dim"))
scala>
Hi ,
I am using Spark SQL 1.3.1.
I have created a dataFrame using jdbc data source and am using saveAsTable()
method but got the following 2 exceptions:
java.lang.RuntimeException: Unsupported datatype DecimalType()
at scala.sys.package$.error(package.scala:27)
at
org.apache.spar