[SPARK-4225][SQL] Resorts to SparkContext.version to inspect Spark version

This PR resorts to `SparkContext.version` rather than META-INF/MANIFEST.MF in the assembly jar to inspect Spark version. Currently, when built with Maven, the MANIFEST.MF file in the assembly jar is incorrectly replaced by Guava 15.0 MANIFEST.MF, probably because of the assembly/shading tricks.

Another related PR is #3103, which tries to fix the MANIFEST issue.

Author: Cheng Lian <[email protected]>

Closes #3105 from liancheng/spark-4225 and squashes the following commits:

d9585e1 [Cheng Lian] Resorts to SparkContext.version to inspect Spark version

Author: liancheng

core/src/main/scala/org/apache/spark/util/Utils.scala

@@ -21,10 +21,8 @@ import java.io._
 import java.lang.management.ManagementFactory
 import java.net._
 import java.nio.ByteBuffer
-import java.util.jar.Attributes.Name
-import java.util.{Properties, Locale, Random, UUID}
-import java.util.concurrent.{ThreadFactory, ConcurrentHashMap, Executors, ThreadPoolExecutor}
-import java.util.jar.{Manifest => JarManifest}
+import java.util.concurrent.{ConcurrentHashMap, Executors, ThreadFactory, ThreadPoolExecutor}
+import java.util.{Locale, Properties, Random, UUID}
 
 import scala.collection.JavaConversions._
 import scala.collection.Map
@@ -38,11 +36,11 @@ import com.google.common.io.{ByteStreams, Files}
 import com.google.common.util.concurrent.ThreadFactoryBuilder
 import org.apache.commons.lang3.SystemUtils
 import org.apache.hadoop.conf.Configuration
-import org.apache.log4j.PropertyConfigurator
 import org.apache.hadoop.fs.{FileSystem, FileUtil, Path}
+import org.apache.log4j.PropertyConfigurator
 import org.eclipse.jetty.util.MultiException
 import org.json4s._
-import tachyon.client.{TachyonFile,TachyonFS}
+import tachyon.client.{TachyonFS, TachyonFile}
 
 import org.apache.spark._
 import org.apache.spark.deploy.SparkHadoopUtil
@@ -352,8 +350,8 @@ private[spark] object Utils extends Logging {
    * Download a file to target directory. Supports fetching the file in a variety of ways,
    * including HTTP, HDFS and files on a standard filesystem, based on the URL parameter.
    *
-   * If `useCache` is true, first attempts to fetch the file to a local cache that's shared 
-   * across executors running the same application. `useCache` is used mainly for 
+   * If `useCache` is true, first attempts to fetch the file to a local cache that's shared
+   * across executors running the same application. `useCache` is used mainly for
    * the executors, and not in local mode.
    *
    * Throws SparkException if the target file already exists and has different contents than
@@ -400,7 +398,7 @@ private[spark] object Utils extends Logging {
     } else {
       doFetchFile(url, targetDir, fileName, conf, securityMgr, hadoopConf)
     }
-    
+
     // Decompress the file if it's a .tar or .tar.gz
     if (fileName.endsWith(".tar.gz") || fileName.endsWith(".tgz")) {
       logInfo("Untarring " + fileName)
@@ -1776,13 +1774,6 @@ private[spark] object Utils extends Logging {
     s"$libraryPathEnvName=$libraryPath$ampersand"
   }
 
-  lazy val sparkVersion =
-    SparkContext.jarOfObject(this).map { path =>
-      val manifestUrl = new URL(s"jar:file:$path!/META-INF/MANIFEST.MF")
-      val manifest = new JarManifest(manifestUrl.openStream())
-      manifest.getMainAttributes.getValue(Name.IMPLEMENTATION_VERSION)
-    }.getOrElse("Unknown")
-
   /**
    * Return the value of a config either through the SparkConf or the Hadoop configuration
    * if this is Yarn mode. In the latter case, this defaults to the value set through SparkConf
@@ -1796,7 +1787,6 @@ private[spark] object Utils extends Logging {
       sparkValue
     }
   }
-
 }
 
 /**

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

@@ -17,18 +17,16 @@
 
 package org.apache.spark.sql.hive.thriftserver
 
-import java.util.jar.Attributes.Name
-
-import scala.collection.JavaConversions._
-
 import java.io.IOException
 import java.util.{List => JList}
 import javax.security.auth.login.LoginException
 
+import scala.collection.JavaConversions._
+
 import org.apache.commons.logging.Log
-import org.apache.hadoop.security.UserGroupInformation
 import org.apache.hadoop.hive.conf.HiveConf
 import org.apache.hadoop.hive.shims.ShimLoader
+import org.apache.hadoop.security.UserGroupInformation
 import org.apache.hive.service.Service.STATE
 import org.apache.hive.service.auth.HiveAuthFactory
 import org.apache.hive.service.cli._
@@ -50,7 +48,7 @@ private[hive] class SparkSQLCLIService(hiveContext: HiveContext)
     addService(sparkSqlSessionManager)
     var sparkServiceUGI: UserGroupInformation = null
 
-    if (ShimLoader.getHadoopShims().isSecurityEnabled()) {
+    if (ShimLoader.getHadoopShims.isSecurityEnabled) {
       try {
         HiveAuthFactory.loginFromKeytab(hiveConf)
         sparkServiceUGI = ShimLoader.getHadoopShims.getUGIForConf(hiveConf)
@@ -68,7 +66,7 @@ private[hive] class SparkSQLCLIService(hiveContext: HiveContext)
     getInfoType match {
       case GetInfoType.CLI_SERVER_NAME => new GetInfoValue("Spark SQL")
       case GetInfoType.CLI_DBMS_NAME => new GetInfoValue("Spark SQL")
-      case GetInfoType.CLI_DBMS_VER => new GetInfoValue(Utils.sparkVersion)
+      case GetInfoType.CLI_DBMS_VER => new GetInfoValue(hiveContext.sparkContext.version)
       case _ => super.getInfo(sessionHandle, getInfoType)
     }
   }