[SPARK-5700] [SQL] [Build] Bumps jets3t to 0.9.3 for hadoop-2.3 and hadoop-2.4 profiles

This is a follow-up PR for #4454 and #4484. JetS3t 0.9.2 contains a log4j.properties file inside the artifact and breaks our tests (see SPARK-5696). This is fixed in 0.9.3.

This PR also reverts hotfix changes introduced in #4484. The reason is that asking users to configure HiveThriftServer2 logging configurations in hive-log4j.properties can be unintuitive.

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Author: Cheng Lian <lian@databricks.com>

Closes #4499 from liancheng/spark-5700 and squashes the following commits:

4f020c7 [Cheng Lian] Bumps jets3t to 0.9.3 for hadoop-2.3 and hadoop-2.4 profiles

pom.xml

@@ -1578,7 +1578,7 @@
       <properties>
         <hadoop.version>2.3.0</hadoop.version>
         <protobuf.version>2.5.0</protobuf.version>
-        <jets3t.version>0.9.2</jets3t.version>
+        <jets3t.version>0.9.3</jets3t.version>
         <hbase.version>0.98.7-hadoop2</hbase.version>
         <commons.math3.version>3.1.1</commons.math3.version>
         <avro.mapred.classifier>hadoop2</avro.mapred.classifier>
@@ -1591,7 +1591,7 @@
       <properties>
         <hadoop.version>2.4.0</hadoop.version>
         <protobuf.version>2.5.0</protobuf.version>
-        <jets3t.version>0.9.2</jets3t.version>
+        <jets3t.version>0.9.3</jets3t.version>
         <hbase.version>0.98.7-hadoop2</hbase.version>
         <commons.math3.version>3.1.1</commons.math3.version>
         <avro.mapred.classifier>hadoop2</avro.mapred.classifier>

sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/HiveThriftServer2.scala

@@ -18,7 +18,6 @@
 package org.apache.spark.sql.hive.thriftserver
 
 import org.apache.commons.logging.LogFactory
-import org.apache.hadoop.hive.common.LogUtils
 import org.apache.hadoop.hive.conf.HiveConf
 import org.apache.hadoop.hive.conf.HiveConf.ConfVars
 import org.apache.hive.service.cli.thrift.{ThriftBinaryCLIService, ThriftHttpCLIService}
@@ -55,8 +54,6 @@ object HiveThriftServer2 extends Logging {
       System.exit(-1)
     }
 
-    LogUtils.initHiveLog4j()
-
     logInfo("Starting SparkContext")
     SparkSQLEnv.init()