improve README.md

Jacky Li · Jacky Li · commit fe7f8498d07f · 2015-07-20T00:28:51.000-07:00
diff --git a/README.md b/README.md
@@ -20,50 +20,52 @@ This version of 1.0.0 requires Spark 1.4.0.
 
 Spark HBase is built using [Apache Maven](http://maven.apache.org/).
 
-
 I. Clone and build Huawei-Spark/Spark-SQL-on-HBase
-
-    $ git clone https://github.com/Huawei-Spark/Spark-SQL-on-HBase spark-hbase
 ```
-II. Go to the root of the source tree
+$ git clone https://github.com/Huawei-Spark/Spark-SQL-on-HBase spark-hbase
+```
 
-    $ cd spark-hbase
+II. Go to the root of the source tree
+```
+$ cd spark-hbase
 ```
-III. Build without testing
 
-    $ mvn -Phbase,hadoop-2.4 -Dhadoop.version=2.4.0 -DskipTests clean package install
+III. Build without testing
+```
+$ mvn -Phbase,hadoop-2.4 -Dhadoop.version=2.4.0 -DskipTests clean package install
 ```
-IV. Build and run test suites against a HBase minicluster, from Maven.
 
-    $ mvn clean install
+IV. Build and run test suites against a HBase minicluster, from Maven.
+```
+$ mvn clean install
 ```
 
 ## Interactive Scala Shell
 
 The easiest way to start using Spark HBase is through the Scala shell:
-
-    ./bin/hbase-sql
-
+```
+./bin/hbase-sql
+```
 
 ## Python Shell
 
 First, add the spark-hbase jar to the SPARK_CLASSPATH in the $SPARK_HOME/conf directory, as follows:
-
+```
 SPARK_CLASSPATH=$SPARK_CLASSPATH:/spark-hbase-root-dir/target/spark-sql-on-hbase-1.0.0.jar
-   
-
+```
 Then go to the spark-hbase installation directory and issue
-
-   ./bin/pyspark-hbase
-
+```
+./bin/pyspark-hbase
+```
 A successfull message is as follows:
 
    You are using Spark SQL on HBase!!!
    HBaseSQLContext available as hsqlContext.
 
 To run a python script, the PYTHONPATH environment should be set to the "python" directory of the Spark-HBase installation. For example,
-
-    export PYTHONPATH=/root-of-Spark-HBase/python
+```
+export PYTHONPATH=/root-of-Spark-HBase/python
+```
 
 Note that the shell commands are not included in the Zip file of the Spark release. They are for developers' use only for this version of 1.0.0. Instead, users can use "$SPARK_HOME/bin/spark-shell --packages Huawei-Spark/Spark-SQL-on-HBase:1.0.0" for SQL shell or "$SPARK_HOME/bin/pyspark --packages Huawei-Spark/Spark-SQL-on-HBase:1.0.0" for Pythin shell.
 
@@ -72,13 +74,13 @@ Note that the shell commands are not included in the Zip file of the Spark relea
 Testing first requires [building Spark HBase](#building-spark). Once Spark HBase is built ...
 
 Run all test suites from Maven:
-
-    mvn -Phbase,hadoop-2.4 test
-
+```
+mvn -Phbase,hadoop-2.4 test
+```
 Run a single test suite from Maven, for example:
-
-    mvn -Phbase,hadoop-2.4 test -DwildcardSuites=org.apache.spark.sql.hbase.BasicQueriesSuite
-
+```
+mvn -Phbase,hadoop-2.4 test -DwildcardSuites=org.apache.spark.sql.hbase.BasicQueriesSuite
+```
 ## IDE Setup
 
 We use IntelliJ IDEA for Spark HBase development. You can get the community edition for free and install the JetBrains Scala plugin from Preferences > Plugins.
@@ -93,7 +95,7 @@ To import the current Spark HBase project for IntelliJ:
 6. When you run the scala test, sometimes you will get out of memory exception. You can increase your VM memory usage by the following setting, for example:
 
 ```
-    -XX:MaxPermSize=512m -Xmx3072m
+-XX:MaxPermSize=512m -Xmx3072m
 ```
 
 You can also make those setting to be the default by setting to the "Defaults -> ScalaTest".
