Hi,
On Wed, Mar 11, 2015 at 11:05 PM, Cesar Flores ces...@gmail.com wrote:
Thanks for both answers. One final question. *This registerTempTable is
not an extra process that the SQL queries need to do that may decrease
performance over the language integrated method calls? *
As far as I
Hi:
Thanks for both answers. One final question. *This registerTempTable is not
an extra process that the SQL queries need to do that may decrease
performance over the language integrated method calls? *The thing is that I
am planning to use them in the current version of the ML Pipeline
Hi,
On Tue, Mar 10, 2015 at 2:13 PM, Cesar Flores ces...@gmail.com wrote:
I am new to the SchemaRDD class, and I am trying to decide in using SQL
queries or Language Integrated Queries (
https://spark.apache.org/docs/1.2.0/api/scala/index.html#org.apache.spark.sql.SchemaRDD
).
Can someone
I am new to the SchemaRDD class, and I am trying to decide in using SQL
queries or Language Integrated Queries (
https://spark.apache.org/docs/1.2.0/api/scala/index.html#org.apache.spark.sql.SchemaRDD
).
Can someone tell me what is the main difference between the two approaches,
besides using
They should have the same performance, as they are compiled down to the
same execution plan.
Note that starting in Spark 1.3, SchemaRDD is renamed DataFrame:
https://databricks.com/blog/2015/02/17/introducing-dataframes-in-spark-for-large-scale-data-science.html
On Tue, Mar 10, 2015 at 2:13
