You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@gora.apache.org by ka...@apache.org on 2015/10/25 01:11:16 UTC

svn commit: r1710398 - /gora/site/trunk/content/current/tutorial.md

Author: kamaci
Date: Sat Oct 24 23:11:16 2015
New Revision: 1710398

URL: http://svn.apache.org/viewvc?rev=1710398&view=rev
Log:
GoraSparkEngine tutorial improved.

Modified:
    gora/site/trunk/content/current/tutorial.md

Modified: gora/site/trunk/content/current/tutorial.md
URL: http://svn.apache.org/viewvc/gora/site/trunk/content/current/tutorial.md?rev=1710398&r1=1710397&r2=1710398&view=diff
==============================================================================
--- gora/site/trunk/content/current/tutorial.md (original)
+++ gora/site/trunk/content/current/tutorial.md Sat Oct 24 23:11:16 2015
@@ -980,7 +980,7 @@ Log analytics example will be implemente
 Data will be read from Hbase, map/reduce methods will be run and result will be written into Solr (version: 4.10.3).
 All the process will be done over Spark.
 
-Persist data into Hbase as described at [Log analytics in MapReduce](/current/tutorial.html#log-analytics-in-mapreduce)
+Persist data into Hbase as described at [Log analytics in MapReduce](/current/tutorial.html#log-analytics-in-mapreduce).
 
 To write result into Solr, create a schemaless core named as Metrics. To do it easily, you can rename default core of collection1 to Metrics which is at
 `solr-4.10.3/example/example-schemaless/solr` folder and edit `solr-4.10.3/example/example-schemaless/solr/Metrics/core.properties` as follows:
@@ -1036,7 +1036,7 @@ Here are the functions of map and reduce
 
     /** The number of milliseconds in a day */
     private static final long DAY_MILIS = 1000 * 60 * 60 * 24;
-    
+
     /**
     * map function used in calculation
     */
@@ -1096,7 +1096,7 @@ When you want to persist result into out
     Configuration sparkHadoopConf = goraSparkEngine.generateOutputConf(outStore);
     reducedGoraRdd.saveAsNewAPIHadoopDataset(sparkHadoopConf);
 
-That’s all! You can check Solr to verify the results.
+That’s all! You can check Solr to verify the result.
 
 ##More Examples
 Other than this tutorial, there are several places that you can find