diff --git a/README.md b/README.md
index ce66bf0c9..60c053470 100644
--- a/README.md
+++ b/README.md
@@ -1 +1,84 @@
 # Kyuubi
+
+**Kyuubi** is an enhanced version of [Apache Spark](http://spark.apache.org)'s primordial [Thrift JDBC/ODBC Server](http://spark.apache.org/docs/latest/sql-programming-guide.html#running-the-thrift-jdbcodbc-server).    
+
+**Thrift JDBC/ODBC Server** as a similar servcie of Spark SQL [Apache Hive](https://hive.apache.org) [HiveServer2](https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Overview)
+而存在的服务，通过该服务允许用户使用JDBC/ODBC端口协议来执行Spark SQL查询。通过Thrift JDBC/ODBC Server，业务用户就可以用使用一些支持JDBC/ODBC连接的BI工具，比如[Tableau](https://www.tableau.com/zh-cn)，[网易有数](https://youdata.163.com)等，
+来对接基于Spark的海量数据报表制作，并取得比Apache Hive更好的SQL on Hadoop性能。但由于Apache Spark本身架构的限制，要作为一款企业级的产品来使用，其与HiveServer2相比
+还有不少的问题存在，比如多租户隔离、权限控制、高并发、高可用等等。而Apache Spark社区对这块的支持也处于长期停滞的状态。      
+
+**Kyuubi**针对这些存在的问题在某些方面对Thrift JDBC/ODBC Server进行的增强。具体如下表所示，
+
+ |---|**Thrift JDBC/ODBC Server**|**Kyuubi**|备注|   
+ |:---:|:---:|:---:|---|
+ |SparkContext多实例|✘|√|Apache Spark对于单个JVM中实例化多个SparkContext一直有较多的尝试，可以参见[这里](https://www.jianshu.com/p/e1cfcaece8f1)；</br> 而其多实例特性可以通过`spark.driver.allowMultipleContexts`开启，也不过是SparkContext被实例化多次，并公用一套调度和执行环境而已，有点像java对象的一次浅拷贝。 </br> Kyuubi附带的Patch提供了一种以用户隔离调度和执行环境的方法。|
+ |SparkContext动态实例化|✘|√|Thrift JDBC/ODBC Server在启动时初始化一个SparkContext实例，而Kyuubi则在用户会话创建时去缓存中获取或新建SparkContext|
+ |SparkContext动态回收|✘|√|Thrift JDBC/ODBC Server再用户断开会话后会回收SparkSession，而SparkContext则是常驻的变量；</br> Kyuubi对于SparkSession亦如是，不同的是由于SparkContext是动态新增的，从而对应的会有相应的回收机制。|
+ |动态Yarn队列|✘|√|Spark on Yarn可以通过spark.yarn.queue指定队列，Thrift JDBC/ODBC Server指定这个队列后并无法修改这个队列，</br> HiveServer2可以`set mapred.job.queue.name=thequeue`来指定执行队列， </br> Kyuubi采取了折中方案，可以将spark.yarn.queue设置连接串中。|
+ |动态参数设置|仅支持`spark.sql.`开头的动态参数|√|Kyuubi支持在连接串中指定`spark.executor.cores/memory`等参数动态设置对应SparkContext所能调度的资源|
+ |权限控制|✘|✘|Kyuubi后续会增加[Spark Authorizer](https://github.com/yaooqinn/spark-authorizer)的支持。|
+ |代理执行|仅支持代理一位用户，server启动时通过--proxy-user指定|支持hive.server2.proxy.user；</br> 支持hive.server2.doAs||
+ |多租户|✘|√|基于以上特性，Kyuubi可以在开启LCE的Yarn集群上实现多租户|
+ |SQL执行日志|✘|√|HiveServer2通过LogDivertAppender来从定向SQL执行的日志到文件中，Kyuubi基于重写了该Appender得以将执行日志拉去到文件中。|
+ |高可用|✘|√|Thrift JDBC/ODBC Server实际是粗糙的改写了HiveServer2的部分代码，连接ZK实现高可用的代码被阉掉了，Kyuubi把他们加回来而已|
+ |Cluster模式|✘|✘|Kyuubi后续会加入cluster模式的支持|
+ 
+ 
+## 快速上手
+
+#### 编译
+
+**Kyuubi**基于maven构建
+
+```sbtshell
+build/mvn clean package
+```
+
+#### 运行
+
+**Kyuubi**本质上作为一个Spark Application可以轻松的用spark-submit起来
+
+```bash
+$ $SPARK_HOME/bin/spark-submit \ 
+    --class yaooqinn.kyuubi.server.KyuubiServer \
+    --master yarn \
+    --deploy-mode client \
+    --driver-memory 10g \
+    --conf spark.hadoop.hive.server2.thrift.port=10009 \
+    $KYUUBI_HOME/target/kyuubi-1.0.0-SNAPSHOT.jar
+```
+
+作为一个长服务，当然最好用`nohup`配合`&`来使用。但是更加推荐内置脚本来运行Kyuubi。
+
+首先，在`$KYUUBI_HOME/bin/kyuubi-env.sh`设置好`SPARK_HOME`
+```bash
+export SPARK_HOME=/the/path/to/an/runable/spark/binary/dir
+```
+
+其次，通过`bin/start-kyuubi.sh`启动Kyuubi
+```bash
+$ bin/start-kyuubi.sh \ 
+    --master yarn \
+    --deploy-mode client \
+    --driver-memory 10g \
+    --conf spark.hadoop.hive.server2.thrift.port=10009 \
+```
+
+即可通过[beeline](https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients)等Thrift API或者[Tableau](https://www.tableau.com/zh-cn)这种工具来连接了。
+
+最后，`bin/stop-kyuubi.sh`来停止服务。
+
+**当然，仅仅如此的话，Kyuubi完全等价于Thrift JDBC/ODBC Server，并不具备多租户的特性。**
+
+## 多租户
+
+#### 前置条件
+
+  -  [Spark On Yarn](http://spark.apache.org/docs/latest/running-on-yarn.html) 
+    +  配置好Spark On Yarn
+    + [LunixExecutorCantainer](https://hadoop.apache.org/docs/r2.7.2/hadoop-yarn/hadoop-yarn-site/SecureContainer.html)
+    + 为不同的用户创建队列(Optional)
+  -  [Thrift JDBC/ODBC Server相关要求的配置](http://spark.apache.org/docs/latest/sql-programming-guide.html#running-the-thrift-jdbcodbc-server)
+    +  配置好hive-site.xml
+  -  为Spark打上对应的Patch
+  
diff --git a/patches/0001-support-multi-sc-for-diff-users-towards-spark-2.1-and-lower.patch b/patches/0001-support-multi-sc-for-diff-users-towards-spark-2.1-and-lower.patch
new file mode 100644
index 000000000..0f1838a70
--- /dev/null
+++ b/patches/0001-support-multi-sc-for-diff-users-towards-spark-2.1-and-lower.patch
@@ -0,0 +1,60 @@
+From b7ae7c5a7ef64d8209bc3ce4f8303d41470f8bc6 Mon Sep 17 00:00:00 2001
+From: Kent Yao <yaooqinn@hotmail.com>
+Date: Fri, 19 Jan 2018 16:50:35 +0800
+Subject: [PATCH] support multi sc for diff users towards spark 2.1
+
+---
+ core/src/main/scala/org/apache/spark/SparkEnv.scala | 14 +++++++++++---
+ 1 file changed, 11 insertions(+), 3 deletions(-)
+
+diff --git a/core/src/main/scala/org/apache/spark/SparkEnv.scala b/core/src/main/scala/org/apache/spark/SparkEnv.scala
+index 1296386..14c3407 100644
+--- a/core/src/main/scala/org/apache/spark/SparkEnv.scala
++++ b/core/src/main/scala/org/apache/spark/SparkEnv.scala
+@@ -19,11 +19,13 @@ package org.apache.spark
+ 
+ import java.io.File
+ import java.net.Socket
++import java.util.concurrent.ConcurrentHashMap
+ 
+ import scala.collection.mutable
+ import scala.util.Properties
+ 
+ import com.google.common.collect.MapMaker
++import org.apache.hadoop.security.UserGroupInformation
+ 
+ import org.apache.spark.annotation.DeveloperApi
+ import org.apache.spark.api.python.PythonWorkerFactory
+@@ -135,20 +137,26 @@ class SparkEnv (
+ }
+ 
+ object SparkEnv extends Logging {
+-  @volatile private var env: SparkEnv = _
++  private val env = new ConcurrentHashMap[String, SparkEnv]()
+ 
+   private[spark] val driverSystemName = "sparkDriver"
+   private[spark] val executorSystemName = "sparkExecutor"
+ 
++  private[this] def user = UserGroupInformation.getCurrentUser.getShortUserName
++
+   def set(e: SparkEnv) {
+-    env = e
++    if (e == null) {
++      env.remove(user)
++    } else {
++      env.put(user, e)
++    }
+   }
+ 
+   /**
+    * Returns the SparkEnv.
+    */
+   def get: SparkEnv = {
+-    env
++    env.get(user)
+   }
+ 
+   /**
+-- 
+2.6.2
+
diff --git a/patches/0001-support-multi-sc-for-diff-users-towards-spark-2.2.patch b/patches/0001-support-multi-sc-for-diff-users-towards-spark-2.2.patch
new file mode 100644
index 000000000..54589c591
--- /dev/null
+++ b/patches/0001-support-multi-sc-for-diff-users-towards-spark-2.2.patch
@@ -0,0 +1,61 @@
+From 0813b0fede8821708df7f03f585e856bbd8d2fb9 Mon Sep 17 00:00:00 2001
+From: Kent Yao <yaooqinn@hotmail.com>
+Date: Fri, 19 Jan 2018 16:50:35 +0800
+Subject: [PATCH] support multi sc for diff users towards spark 2.2
+
+---
+ core/src/main/scala/org/apache/spark/SparkEnv.scala | 14 +++++++++++---
+ 1 file changed, 11 insertions(+), 3 deletions(-)
+
+diff --git a/core/src/main/scala/org/apache/spark/SparkEnv.scala b/core/src/main/scala/org/apache/spark/SparkEnv.scala
+index f4a59f0..a32e2fb 100644
+--- a/core/src/main/scala/org/apache/spark/SparkEnv.scala
++++ b/core/src/main/scala/org/apache/spark/SparkEnv.scala
+@@ -19,12 +19,14 @@ package org.apache.spark
+ 
+ import java.io.File
+ import java.net.Socket
++import java.util.concurrent.ConcurrentHashMap
+ import java.util.Locale
+ 
+ import scala.collection.mutable
+ import scala.util.Properties
+ 
+ import com.google.common.collect.MapMaker
++import org.apache.hadoop.security.UserGroupInformation
+ 
+ import org.apache.spark.annotation.DeveloperApi
+ import org.apache.spark.api.python.PythonWorkerFactory
+@@ -136,20 +138,26 @@ class SparkEnv (
+ }
+ 
+ object SparkEnv extends Logging {
+-  @volatile private var env: SparkEnv = _
++  private val env = new ConcurrentHashMap[String, SparkEnv]()
+ 
+   private[spark] val driverSystemName = "sparkDriver"
+   private[spark] val executorSystemName = "sparkExecutor"
+ 
++  private[this] def user = UserGroupInformation.getCurrentUser.getShortUserName
++
+   def set(e: SparkEnv) {
+-    env = e
++    if (e == null) {
++      env.remove(user)
++    } else {
++      env.put(user, e)
++    }
+   }
+ 
+   /**
+    * Returns the SparkEnv.
+    */
+   def get: SparkEnv = {
+-    env
++    env.get(user)
+   }
+ 
+   /**
+-- 
+2.6.2
+