Author: dmagda
Date: Mon Mar 19 21:46:51 2018
New Revision: 1827248
URL: http://svn.apache.org/viewvc?rev=1827248&view=rev
Log:
Spark and Ignite page updates
Modified:
ignite/site/trunk/use-cases/spark/shared-memory-layer.html
Modified: ignite/site/trunk/use-cases/spark/shared-memory-layer.html
URL:
http://svn.apache.org/viewvc/ignite/site/trunk/use-cases/spark/shared-memory-layer.html?rev=1827248&r1=1827247&r2=1827248&view=diff
==============================================================================
--- ignite/site/trunk/use-cases/spark/shared-memory-layer.html (original)
+++ ignite/site/trunk/use-cases/spark/shared-memory-layer.html Mon Mar 19
21:46:51 2018
@@ -111,7 +111,7 @@ under the License.
Apache Spark DataFrame API introduced the concept of a schema
to describe the data,
allowing Spark to manage the schema and organize the data into
a tabular format.
To put it simply, a DataFrame is a distributed collection of
data organized into named columns.
- It is conceptually equivalent to a table in a relational
database which allows Spark leveraging
+ It is conceptually equivalent to a table in a relational
database which allows Spark to leverage
from Catalyst query optimizer. The optimizer produces much
more efficient query execution plans
in compare to RDDs which are just collections of elements
partitioned across the nodes of the cluster.
</p>
