v0.4.0 preview

doris_mcp_client/README.md

@@ -133,9 +133,6 @@ async def database_operations(client):
     
     # Get table schema
     schema = await client.get_table_schema("table_name", "db_name")
-    
-    # Column data analysis
-    analysis = await client.analyze_column("table", "column", "basic")
 ```
 
 ## 🧪 Testing
@@ -177,7 +174,6 @@ python test_unified_client.py benchmark
   2. get_table_list: Get table list for specified database
   3. get_table_schema: Get table structure information
   4. exec_query: Execute SQL query
-  5. column_analysis: Analyze column data distribution and statistics
   ...
 
 🧪 Testing basic functionality...
@@ -189,8 +185,6 @@ python test_unified_client.py benchmark
    ✅ SSB query successful
 4️⃣ Getting table structure...
    ✅ Table structure retrieved successfully
-5️⃣ Column data analysis...
-   ✅ Column analysis successful
 
 ✅ HTTP mode testing completed!
 ```
@@ -255,12 +249,6 @@ async def comprehensive_example():
         # Get table schema
         schema_result = await client.get_table_schema("lineorder", "ssb")
         print(f"Table schema: {schema_result}")
-        
-        # Column analysis
-        analysis_result = await client.analyze_column(
-            "lineorder", "lo_orderkey", "basic"
-        )
-        print(f"Column analysis: {analysis_result}")
     
     await client.connect_and_run(demo_operations)
 

doris_mcp_client/client.py

@@ -422,18 +422,14 @@ class DorisUnifiedClient:
 
         return await self.call_tool(tool_name, kwargs)
 
-    async def analyze_column(self, table_name: str, column_name: str, analysis_type: str = "basic", **kwargs) -> dict[str, Any]:
-        """Analyze column"""
-        tool_name = await self._find_tool_by_pattern(["column_analysis", "analyze_column", "column"])
+    async def get_memory_stats(self, tracker_type: str = "overview", include_details: bool = True, **kwargs) -> dict[str, Any]:
+        """Get memory statistics"""
+        tool_name = await self._find_tool_by_pattern(["memory", "realtime_memory"])
         if not tool_name:
-            return {"success": False, "error": "Column analysis tool not found"}
-
-        arguments = {
-            "table_name": table_name,
-            "column_name": column_name,
-            "analysis_type": analysis_type,
-            **kwargs
-        }
+            return {"success": False, "error": "Memory stats tool not found"}
+        
+        arguments = {"tracker_type": tracker_type, "include_details": include_details}
+        arguments.update(kwargs)
         return await self.call_tool(tool_name, arguments)
 
     async def call_tool_by_function(self, function_description: str, arguments: dict[str, Any]) -> dict[str, Any]: