diff --git a/docs/interpreter/spark.md b/docs/interpreter/spark.md
index be5b3e52863..b641ef6a569 100644
--- a/docs/interpreter/spark.md
+++ b/docs/interpreter/spark.md
@@ -145,6 +145,11 @@ You can also set other Spark properties which are not listed in the table. For a
     <td>true</td>
     <td>Do not change - developer only setting, not for production use</td>
   </tr>
+  <tr>
+  <td>zeppelin.spark.uiWebUrl</td>
+    <td></td>
+    <td>Overrides Spark UI default URL. Value should be a full URL (ex: http://{hostName}/{uniquePath}</td>
+  </tr>
 </table>
 
 Without any configuration, Spark interpreter works out of box in local mode. But if you want to connect to your Spark cluster, you'll need to follow below two simple steps.
@@ -183,7 +188,7 @@ For example,
  * **yarn-client** in Yarn client mode
  * **mesos://host:5050** in Mesos cluster
 
-That's it. Zeppelin will work with any version of Spark and any deployment type without rebuilding Zeppelin in this way. 
+That's it. Zeppelin will work with any version of Spark and any deployment type without rebuilding Zeppelin in this way.
 For the further information about Spark & Zeppelin version compatibility, please refer to "Available Interpreters" section in [Zeppelin download page](https://zeppelin.apache.org/download.html).
 
 > Note that without exporting `SPARK_HOME`, it's running in local mode with included version of Spark. The included version may vary depending on the build profile.
@@ -210,7 +215,7 @@ There are two ways to load external libraries in Spark interpreter. First is usi
 Please see [Dependency Management](../usage/interpreter/dependency_management.html) for the details.
 
 ### 2. Loading Spark Properties
-Once `SPARK_HOME` is set in `conf/zeppelin-env.sh`, Zeppelin uses `spark-submit` as spark interpreter runner. `spark-submit` supports two ways to load configurations. 
+Once `SPARK_HOME` is set in `conf/zeppelin-env.sh`, Zeppelin uses `spark-submit` as spark interpreter runner. `spark-submit` supports two ways to load configurations.
 The first is command line options such as --master and Zeppelin can pass these options to `spark-submit` by exporting `SPARK_SUBMIT_OPTIONS` in `conf/zeppelin-env.sh`. Second is reading configuration options from `SPARK_HOME/conf/spark-defaults.conf`. Spark properties that user can set to distribute libraries are:
 
 <table class="table-configuration">
@@ -243,7 +248,7 @@ Here are few examples:
   ```bash
     export SPARK_SUBMIT_OPTIONS="--packages com.databricks:spark-csv_2.10:1.2.0 --jars /path/mylib1.jar,/path/mylib2.jar --files /path/mylib1.py,/path/mylib2.zip,/path/mylib3.egg"
   ```
-    
+
 * `SPARK_HOME/conf/spark-defaults.conf`
 
   ```
@@ -408,17 +413,17 @@ To learn more about dynamic form, checkout [Dynamic Form](../usage/dynamic_form/
 
 
 ## Matplotlib Integration (pyspark)
-Both the `python` and `pyspark` interpreters have built-in support for inline visualization using `matplotlib`, 
-a popular plotting library for python. More details can be found in the [python interpreter documentation](../interpreter/python.html), 
-since matplotlib support is identical. More advanced interactive plotting can be done with pyspark through 
+Both the `python` and `pyspark` interpreters have built-in support for inline visualization using `matplotlib`,
+a popular plotting library for python. More details can be found in the [python interpreter documentation](../interpreter/python.html),
+since matplotlib support is identical. More advanced interactive plotting can be done with pyspark through
 utilizing Zeppelin's built-in [Angular Display System](../usage/display_system/angular_backend.html), as shown below:
 
 <img class="img-responsive" src="{{BASE_PATH}}/assets/themes/zeppelin/img/docs-img/matplotlibAngularExample.gif" />
 
 ## Interpreter setting option
 
-You can choose one of `shared`, `scoped` and `isolated` options wheh you configure Spark interpreter. 
-Spark interpreter creates separated Scala compiler per each notebook but share a single SparkContext in `scoped` mode (experimental). 
+You can choose one of `shared`, `scoped` and `isolated` options wheh you configure Spark interpreter.
+Spark interpreter creates separated Scala compiler per each notebook but share a single SparkContext in `scoped` mode (experimental).
 It creates separated SparkContext per each notebook in `isolated` mode.
 
 ## IPython support
diff --git a/spark/src/main/java/org/apache/zeppelin/spark/SparkInterpreter.java b/spark/src/main/java/org/apache/zeppelin/spark/SparkInterpreter.java
index 18da0344f05..bb38841909a 100644
--- a/spark/src/main/java/org/apache/zeppelin/spark/SparkInterpreter.java
+++ b/spark/src/main/java/org/apache/zeppelin/spark/SparkInterpreter.java
@@ -26,11 +26,9 @@
 import java.lang.reflect.Method;
 import java.net.URL;
 import java.net.URLClassLoader;
-import java.util.ArrayList;
 import java.util.LinkedList;
 import java.util.List;
 import java.util.Map;
-import java.util.NoSuchElementException;
 import java.util.Properties;
 import java.util.Set;
 import java.util.concurrent.atomic.AtomicInteger;
@@ -51,7 +49,6 @@
 import org.apache.spark.ui.SparkUI;
 import org.apache.spark.ui.jobs.JobProgressListener;
 import org.apache.zeppelin.interpreter.BaseZeppelinContext;
-import org.apache.zeppelin.interpreter.DefaultInterpreterProperty;
 import org.apache.zeppelin.interpreter.Interpreter;
 import org.apache.zeppelin.interpreter.InterpreterContext;
 import org.apache.zeppelin.interpreter.InterpreterException;
@@ -72,7 +69,6 @@
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
-import com.google.common.base.Joiner;
 import scala.Console;
 import scala.Enumeration.Value;
 import scala.None;
@@ -206,7 +202,7 @@ public synchronized void onJobStart(SparkListenerJobStart jobStart) {
       private String getJobUrl(int jobId) {
         String jobUrl = null;
         if (sparkUrl != null) {
-          jobUrl = sparkUrl + "/jobs/job?id=" + jobId;
+          jobUrl = sparkUrl + "/jobs/job/?id=" + jobId;
         }
         return jobUrl;
       }
@@ -936,6 +932,11 @@ public String getSparkUIUrl() {
       return sparkUrl;
     }
 
+    String sparkUrlProp = property.getProperty("zeppelin.spark.uiWebUrl", "");
+    if (!StringUtils.isBlank(sparkUrlProp)) {
+      return sparkUrlProp;
+    }
+
     if (sparkVersion.newerThanEquals(SparkVersion.SPARK_2_0_0)) {
       Option<String> uiWebUrlOption = (Option<String>) Utils.invokeMethod(sc, "uiWebUrl");
       if (uiWebUrlOption.isDefined()) {
diff --git a/spark/src/main/resources/interpreter-setting.json b/spark/src/main/resources/interpreter-setting.json
index 7c13c49a16c..893142f265a 100644
--- a/spark/src/main/resources/interpreter-setting.json
+++ b/spark/src/main/resources/interpreter-setting.json
@@ -67,6 +67,13 @@
         "defaultValue": true,
         "description": "Do not change - developer only setting, not for production use",
         "type": "checkbox"
+      },
+      "zeppelin.spark.uiWebUrl": {
+        "envName": null,
+        "propertyName": "zeppelin.spark.uiWebUrl",
+        "defaultValue": "",
+        "description": "Override Spark UI default URL",
+        "type": "string"
       }
     },
     "editor": {
diff --git a/spark/src/test/java/org/apache/zeppelin/spark/SparkInterpreterTest.java b/spark/src/test/java/org/apache/zeppelin/spark/SparkInterpreterTest.java
index ece292b8290..ec682baa1a0 100644
--- a/spark/src/test/java/org/apache/zeppelin/spark/SparkInterpreterTest.java
+++ b/spark/src/test/java/org/apache/zeppelin/spark/SparkInterpreterTest.java
@@ -347,7 +347,7 @@ public void testParagraphUrls() {
     }
     String sparkUIUrl = repl.getSparkUIUrl();
     assertNotNull(jobUrl);
-    assertTrue(jobUrl.startsWith(sparkUIUrl + "/jobs/job?id="));
+    assertTrue(jobUrl.startsWith(sparkUIUrl + "/jobs/job/?id="));
 
   }
 }