add shuffle config note

README-CN.md

@@ -37,6 +37,7 @@ Nebula Exchange 和 Nebula 的版本对应关系如下:
 |       2.1.0             |  2.0.0, 2.0.1  |
 |       2.5.0             |  2.5.0, 2.5.1  |
 |       2.5.1             |  2.5.0, 2.5.1  |
+|       2.6.0             |     2.6.0      |
 |     2.5-SNAPSHOT        |     nightly    |
 ## 使用说明
 
@@ -71,6 +72,15 @@ nebula-exchange-2.5.0.jar \
 -c application.conf
 ```
 
+注：使用 Nebula Exchange 进行 SST 文件生成时，会涉及到 Spark 的 shuffle 操作，请注意在提交命令中增加 spark.sql.shuffle.partition 的配置：
+```
+$SPARK_HOME/bin/spark-submit --class com.vesoft.nebula.exchange.Exchange \
+--master local \
+--conf spark.sql.shuffle.partitions=200 \
+nebula-exchange-2.5.0.jar \
+-c application.conf
+```
+
 关于 Nebula Exchange 的更多说明，请参考 Exchange 2.0 的[使用手册](https://docs.nebula-graph.com.cn/2.0.1/nebula-exchange/about-exchange/ex-ug-what-is-exchange/) 。
 
 ## 贡献

README.md

@@ -45,6 +45,15 @@ nebula-exchange-2.5.0.jar \
 -c application.conf
 ```
 
+Note: When use Exchange to generate SST files, please add spark.sql.shuffle.partition config for Spark's shuffle operation:
+```
+$SPARK_HOME/bin/spark-submit --class com.vesoft.nebula.exchange.Exchange \
+--master local \
+--conf spark.sql.shuffle.partitions=200 \
+nebula-exchange-2.5.0.jar \
+-c application.conf
+```
+
 For more details about Exchange, please refer to [Exchange 2.0](https://docs.nebula-graph.io/2.0.1/16.eco-tools/1.nebula-exchange/) .
 
 ## Version match
@@ -58,6 +67,7 @@ There are the version correspondence between Nebula Exchange and Nebula:
 |       2.1.0             |  2.0.0, 2.0.1  |
 |       2.5.0             |  2.5.0, 2.5.1  |
 |       2.5.1             |  2.5.0, 2.5.1  |
+|       2.6.0             |     2.6.0      |
 |     2.5-SNAPSHOT        |     nightly    |
 
 ## New Features

nebula-exchange/src/main/scala/com/vesoft/nebula/exchange/Exchange.scala

@@ -75,7 +75,6 @@ object Exchange {
       .builder()
       .appName(PROGRAM_NAME)
       .config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
-      .config("spark.sql.shuffle.partitions", "1")
 
     for (key <- configs.sparkConfigEntry.map.keySet) {
       session.config(key, configs.sparkConfigEntry.map(key))