diff --git a/common/src/main/java/com/tencent/supersonic/common/pojo/SysParameter.java b/common/src/main/java/com/tencent/supersonic/common/pojo/SysParameter.java
index 6fcdc9544..0fae3fc54 100644
--- a/common/src/main/java/com/tencent/supersonic/common/pojo/SysParameter.java
+++ b/common/src/main/java/com/tencent/supersonic/common/pojo/SysParameter.java
@@ -8,7 +8,6 @@ import java.util.stream.Collectors;
 import lombok.Data;
 import org.apache.commons.lang3.StringUtils;
 import org.springframework.util.CollectionUtils;
-import retrofit2.http.HEAD;
 
 @Data
 public class SysParameter {
@@ -31,7 +30,7 @@ public class SysParameter {
             return "";
         }
         Map<String, String> nameToValue = parameters.stream()
-                .collect(Collectors.toMap(a -> a.getName(), a -> a.getValue(), (k1, k2) -> k1));
+                .collect(Collectors.toMap(Parameter::getName, Parameter::getValue, (k1, k2) -> k1));
         return nameToValue.get(name);
     }
 
@@ -47,52 +46,54 @@ public class SysParameter {
         parameters = Lists.newArrayList();
         admins = Lists.newArrayList("admin");
         //llm config
-        parameters.add(new Parameter("llm.model.name", "gpt4",
-                "模型名称(大语言模型相关配置)", "string", "大语言模型相关配置"));
+        Parameter parameter = new Parameter("llm.model.name", "gpt3.5",
+                "模型名称", "list", "大语言模型相关配置");
+        parameter.setCandidateValues(Lists.newArrayList("gpt3.5", "gpt3.5-16k"));
+        parameters.add(parameter);
         parameters.add(new Parameter("llm.api.key", "sk-afdasdasd",
-                "模型密钥(大语言模型相关配置)", "string", "大语言模型相关配置"));
+                "模型密钥", "string", "大语言模型相关配置"));
         parameters.add(new Parameter("llm.temperature", "0.0",
                 "温度值", "number", "大语言模型相关配置"));
 
-        //detect config
-        parameters.add(new Parameter("one.detection.size", "8",
-                "一次探测个数(hanlp相关配置)", "number", "hanlp相关配置"));
-        parameters.add(new Parameter("one.detection.max.size", "20",
-                "一次探测最大个数(hanlp相关配置)", "number", "hanlp相关配置"));
-
-        //mapper config
-        parameters.add(new Parameter("metric.dimension.min.threshold", "0.3",
-                "指标名、维度名最小文本相似度(mapper模糊匹配相关配置)", "number", "mapper模糊匹配相关配置"));
-        parameters.add(new Parameter("metric.dimension.threshold", "0.3",
-                "指标名、维度名文本相似度(mapper模糊匹配相关配置)", "number", "mapper模糊匹配相关配置"));
-        parameters.add(new Parameter("dimension.value.threshold", "0.5",
-                "维度值最小文本相似度(mapper模糊匹配相关配置)", "number", "mapper模糊匹配相关配置"));
-
-        //skip config
-        parameters.add(new Parameter("query.text.length.threshold", "10",
-                "文本长短阈值(是否跳过当前parser相关配置)", "number", "是否跳过当前parser相关配置"));
-        parameters.add(new Parameter("short.text.threshold", "5",
-                "短文本匹配阈值(是否跳过当前parser相关配置)", "number", "是否跳过当前parser相关配置"));
-        parameters.add(new Parameter("long.text.threshold", "0.8",
-                "长文本匹配阈值(是否跳过当前parser相关配置)", "number", "是否跳过当前parser相关配置"));
-
-        //embedding mapper config
-        parameters.add(new Parameter("embedding.mapper.word.min",
-                "4", "用于向量召回最小的文本长度(向量召回mapper相关配置)", "number", "向量召回mapper相关配置"));
-        parameters.add(new Parameter("embedding.mapper.word.max", "5",
-                "用于向量召回最大的文本长度(向量召回mapper相关配置)", "number", "向量召回mapper相关配置"));
-        parameters.add(new Parameter("embedding.mapper.batch", "50",
-                "批量向量召回文本请求个数(向量召回mapper相关配置)", "number", "向量召回mapper相关配置"));
-        parameters.add(new Parameter("embedding.mapper.number", "5",
-                "批量向量召回文本返回结果个数(向量召回mapper相关配置)", "number", "向量召回mapper相关配置"));
-        parameters.add(new Parameter("embedding.mapper.distance.threshold",
-                "0.58", "Mapper阶段向量召回相似度阈值(向量召回mapper相关配置)", "number", "向量召回mapper相关配置"));
-
         //s2SQL config
         parameters.add(new Parameter("s2SQL.generation", "2-steps",
                 "S2SQL生成方式", "string", "S2SQL相关配置"));
         parameters.add(new Parameter("s2SQL.linking.value.switch", "true",
                 "是否将linkingValues提供给大模型", "bool", "S2SQL相关配置"));
+
+        //detect config
+        parameters.add(new Parameter("one.detection.size", "8",
+                "一次探测个数", "number", "[mapper]hanlp相关配置"));
+        parameters.add(new Parameter("one.detection.max.size", "20",
+                "一次探测最大个数", "number", "[mapper]hanlp相关配置"));
+
+        //mapper config
+        parameters.add(new Parameter("metric.dimension.min.threshold", "0.3",
+                "指标名、维度名最小文本相似度", "number", "[mapper]模糊匹配相关配置"));
+        parameters.add(new Parameter("metric.dimension.threshold", "0.3",
+                "指标名、维度名文本相似度", "number", "[mapper]模糊匹配相关配置"));
+        parameters.add(new Parameter("dimension.value.threshold", "0.5",
+                "维度值最小文本相似度", "number", "[mapper]模糊匹配相关配置"));
+
+        //embedding mapper config
+        parameters.add(new Parameter("embedding.mapper.word.min",
+                "4", "用于向量召回最小的文本长度", "number", "[mapper]向量召回相关配置"));
+        parameters.add(new Parameter("embedding.mapper.word.max", "5",
+                "用于向量召回最大的文本长度", "number", "[mapper]向量召回相关配置"));
+        parameters.add(new Parameter("embedding.mapper.batch", "50",
+                "批量向量召回文本请求个数", "number", "[mapper]向量召回相关配置"));
+        parameters.add(new Parameter("embedding.mapper.number", "5",
+                "批量向量召回文本返回结果个数", "number", "[mapper]向量召回相关配置"));
+        parameters.add(new Parameter("embedding.mapper.distance.threshold",
+                "0.58", "向量召回相似度阈值", "number", "[mapper]向量召回相关配置"));
+
+        //skip config
+        parameters.add(new Parameter("query.text.length.threshold", "10",
+                "文本长短阈值", "number", "是否跳过当前parser相关配置"));
+        parameters.add(new Parameter("short.text.threshold", "5",
+                "短文本匹配阈值", "number", "是否跳过当前parser相关配置"));
+        parameters.add(new Parameter("long.text.threshold", "0.8",
+                "长文本匹配阈值", "number", "是否跳过当前parser相关配置"));
     }
 
 }
diff --git a/launchers/standalone/src/test/java/com/tencent/supersonic/integration/MetricQueryTest.java b/launchers/standalone/src/test/java/com/tencent/supersonic/integration/MetricQueryTest.java
index 0c1a79a86..54be0d19a 100644
--- a/launchers/standalone/src/test/java/com/tencent/supersonic/integration/MetricQueryTest.java
+++ b/launchers/standalone/src/test/java/com/tencent/supersonic/integration/MetricQueryTest.java
@@ -124,7 +124,6 @@ public class MetricQueryTest extends BaseQueryTest {
 
         expectedResult.setQueryMode(MetricFilterQuery.QUERY_MODE);
         expectedParseInfo.setAggType(NONE);
-        expectedParseInfo.getDimensions().add(DataUtils.getSchemaElement("用户名"));
         expectedParseInfo.getMetrics().add(DataUtils.getSchemaElement("访问次数"));
 
         List<String> list = new ArrayList<>();
diff --git a/launchers/standalone/src/test/resources/db/schema-h2.sql b/launchers/standalone/src/test/resources/db/schema-h2.sql
index 5d2cfdddd..d75ced5a8 100644
--- a/launchers/standalone/src/test/resources/db/schema-h2.sql
+++ b/launchers/standalone/src/test/resources/db/schema-h2.sql
@@ -180,6 +180,7 @@ CREATE TABLE  IF NOT EXISTS  `s2_datasource` (
     `depends` varchar(500) DEFAULT  NULL ,
     `datasource_detail` LONGVARCHAR NOT  NULL ,
     `status` int(11) DEFAULT NULL ,
+    `filter_sql` varchar(1000) DEFAULT NULL ,
     `created_at` TIMESTAMP NOT  NULL ,
     `created_by` varchar(100) NOT  NULL ,
     `updated_at` TIMESTAMP NOT  NULL ,