update doc about mlsql ps service

Author: allwefantasy

docs/gitbook/en/guide/python/distribute-python.md

@@ -21,26 +21,18 @@ will upload the result to HDFS automatically.
 If you runs on yarn mode, please make sure you start the MLSQL Engine with follow configuration:
 
 ```
+
 -streaming.ps.cluster.enable  should be  enabled.
 
 Please make sure
-you have the uber-jar of mlsql placed in
-1. --jars
-2. --conf "spark.executor.extraClassPath=[your jar name in jars]"
-
-for exmaple:
+1. you have the uber-jar of mlsql placed in --jars
+2. Put mlsql-ps-service_xxx_2.11-xxx.jar to $SPARK_HOME/libs 
 
---jars ./streamingpro-mlsql-spark_2.x-x.x.x-SNAPSHOT.jar
---conf "spark.executor.extraClassPath=streamingpro-mlsql-spark_2.x-x.x.x-SNAPSHOT.jar"
+More detail about [mlsql-ps-service](https://github.com/allwefantasy/mlsql-ps-service)
 
 Otherwise the executor will
 fail to start and the whole application will fails.
-```
 
-If you runs on  Standalone, please send the MLSQL jar to every node and then configure:
-
-```
---conf "spark.executor.extraClassPath=[MLSQL jar path]"
 ```
 
 ## Steps

docs/gitbook/zh/python/distribute-python.md

@@ -20,14 +20,10 @@
 -streaming.ps.cluster.enable  should be  enabled.
 
 Please make sure
-you have the uber-jar of mlsql placed in
-1. --jars
-2. --conf "spark.executor.extraClassPath=[your jar name in jars]"
+1. you have the uber-jar of mlsql placed in --jars
+2. Put mlsql-ps-service_xxx_2.11-xxx.jar to $SPARK_HOME/libs 
 
-for exmaple:
-
---jars ./streamingpro-mlsql-spark_2.x-x.x.x-SNAPSHOT.jar
---conf "spark.executor.extraClassPath=streamingpro-mlsql-spark_2.x-x.x.x-SNAPSHOT.jar"
+More detail about [mlsql-ps-service](https://github.com/allwefantasy/mlsql-ps-service)
 
 Otherwise the executor will
 fail to start and the whole application will fails.
@@ -36,11 +32,7 @@ fail to start and the whole application will fails.
 
 否则会出现不可预料错误。
 
-如果你是在Standalone模式下使用，请将MLSQL Uber Jar 发送到各个节点上，然后配置
 
-```
---conf "spark.executor.extraClassPath=[MLSQL jar包完整路径]"
-```
 
 ## 使用步骤
 

docs/gitbook/zh/python/python.md

@@ -13,28 +13,18 @@
 -streaming.ps.cluster.enable  should be  enabled.
 
 Please make sure
-you have the uber-jar of mlsql placed in
-1. --jars
-2. --conf "spark.executor.extraClassPath=[your jar name in jars]"
+1. you have the uber-jar of mlsql placed in --jars
+2. Put mlsql-ps-service_xxx_2.11-xxx.jar to $SPARK_HOME/libs 
 
-for exmaple:
+More detail about [mlsql-ps-service](https://github.com/allwefantasy/mlsql-ps-service)
 
---jars ./streamingpro-mlsql-spark_2.x-x.x.x-SNAPSHOT.jar
---conf "spark.executor.extraClassPath=streamingpro-mlsql-spark_2.x-x.x.x-SNAPSHOT.jar"
-
-Otherwise the executor wil
-l
+Otherwise the executor will
 fail to start and the whole application will fails.
 
 ```
 
 否则会出现不可预料错误。
 
-如果你是在Standalone模式下使用，请将MLSQL Uber Jar 发送到各个节点上，然后配置
-
-```
---conf "spark.executor.extraClassPath=[MLSQL jar包完整路径]"
-```
 
 ## 案例场景