Re: Spark sql jdbc fails for Oracle NUMBER type columns

:22 PM: > From: Madabhattula Rajesh Kumar <mrajaf...@gmail.com> > To: Richard Hillegas/San Francisco/IBM@IBMUS > Cc: "u...@spark.incubator.apache.org" > <u...@spark.incubator.apache.org>, "user@spark.apache.org" > <user@spark.apache.org> > Date: 11/0

Re: Spark sql jdbc fails for Oracle NUMBER type columns

Or you may be referring to https://issues.apache.org/jira/browse/SPARK-10648. That issue has a couple pull requests but I think that the limited bandwidth of the committers still applies. Thanks, Rick Richard Hillegas/San Francisco/IBM@IBMUS wrote on 11/05/2015 09:16:42 AM: > From: Rich

Re: Spark sql jdbc fails for Oracle NUMBER type columns

Hi Rajesh, I think that you may be referring to https://issues.apache.org/jira/browse/SPARK-10909. A pull request on that issue was submitted more than a month ago but it has not been committed. I think that the committers are busy working on issues which were targeted for 1.6 and I doubt that

Re: Spark scala REPL - Unable to create sqlContext

Note that embedded Derby supports multiple, simultaneous connections, that is, multiple simultaneous users. But a Derby database is owned by the process which boots it. Only one process can boot a Derby database at a given time. The creation of multiple SQL contexts must be spawning multiple

Re: Can not subscript to mailing list

Hi Jeff, Hard to say what's going on. I have had problems subscribing to the Apache lists in the past. My problems, which may be different than yours, were caused by replying to the confirmation request from a different email account than the account I was trying to subscribe from. It was easy

Re: Spark SQL: Preserving Dataframe Schema

As an academic aside, note that all datatypes are nullable according to the SQL Standard. NOT NULL is modelled in the Standard as a constraint on data values, not as a parallel universe of special data types. However, very few databases implement NOT NULL via integrity constraints. Instead,

Re: SQL Context error in 1.5.1 - any work around ?

A crude workaround may be to run your spark shell with a sudo command. Hope this helps, Rick Hillegas Sourav Mazumder wrote on 10/15/2015 09:59:02 AM: > From: Sourav Mazumder > To: user > Date: 10/15/2015 09:59

Re: pagination spark sq

Hi Ravi, If you build Spark with Hive support, then your sqlContext variable will be an instance of HiveContext and you will enjoy the full capabilities of the Hive query language rather than the more limited capabilities of Spark SQL. However, even Hive QL does not support the OFFSET clause, at

Re: This post has NOT been accepted by the mailing list yet.

Hi Akhandeshi, It may be that you are not seeing your own posts because you are sending from a gmail account. See for instance https://support.google.com/a/answer/1703601?hl=en Hope this helps, Rick Hillegas STSM, IBM Analytics, Platform - IBM USA akhandeshi wrote on

Re: save DF to JDBC

Hi Ruslan, Here is some sample code which writes a DataFrame to a table in a Derby database: import org.apache.spark.sql._ import org.apache.spark.sql.types._ val binaryVal = Array[Byte] ( 1, 2, 3, 4 ) val timestampVal = java.sql.Timestamp.valueOf("1996-01-01 03:30:36") val dateVal =

Re: unsubscribe

Hi Sukesh, To unsubscribe from the dev list, please send a message to dev-unsubscr...@spark.apache.org. To unsubscribe from the user list, please send a message user-unsubscr...@spark.apache.org. Please see: http://spark.apache.org/community.html#mailing-lists. Thanks, -Rick sukesh kumar

Re: unsubscribe

Hi Ntale, To unsubscribe from the user list, please send a message to user-unsubscr...@spark.apache.org as described here: http://spark.apache.org/community.html#mailing-lists. Thanks, -Rick Ntale Lukama wrote on 09/23/2015 04:34:48 AM: > From: Ntale Lukama

Re: Count for select not matching count for group by

For what it's worth, I get the expected result that "filter" behaves like "group by" when I run the same experiment against a DataFrame which was loaded from a relational store: import org.apache.spark.sql._ import org.apache.spark.sql.types._ val df = sqlContext.read.format("jdbc").options(

Re: unsubscribe

To unsubscribe from the user list, please send a message to user-unsubscr...@spark.apache.org as described here: http://spark.apache.org/community.html#mailing-lists. Thanks, -Rick

Re: Is there any Spark SQL reference manual?

The latest Derby SQL Reference manual (version 10.11) can be found here: https://db.apache.org/derby/docs/10.11/ref/index.html. It is, indeed, very useful to have a comprehensive reference guide. The Derby build scripts can also produce a BNF description of the grammar--but that is not part of