diff --git a/rust/cubesql/cubesql/src/compile/router.rs b/rust/cubesql/cubesql/src/compile/router.rs
index 397f1239ee346..41e9e5c5213d9 100644
--- a/rust/cubesql/cubesql/src/compile/router.rs
+++ b/rust/cubesql/cubesql/src/compile/router.rs
@@ -3,7 +3,7 @@ use crate::compile::{
     StatusFlags,
 };
 use sqlparser::ast;
-use std::{collections::HashMap, future::Future, pin::Pin, sync::Arc, time::SystemTime};
+use std::{collections::HashMap, sync::Arc, time::SystemTime};
 
 use crate::{
     compile::{
@@ -30,7 +30,7 @@ use datafusion::{
     scalar::ScalarValue,
 };
 use itertools::Itertools;
-use sqlparser::ast::{escape_single_quote_string, ObjectName};
+use sqlparser::ast::escape_single_quote_string;
 
 #[derive(Clone)]
 pub struct QueryRouter {
@@ -108,6 +108,23 @@ impl QueryRouter {
     }
 
     pub async fn plan(
+        &self,
+        stmt: ast::Statement,
+        qtrace: &mut Option<Qtrace>,
+        span_id: Option<Arc<SpanId>>,
+    ) -> CompilationResult<QueryPlan> {
+        match stmt {
+            ast::Statement::Explain {
+                analyze,
+                statement,
+                verbose,
+                ..
+            } => self.explain_to_plan(statement, verbose, analyze).await,
+            other => self.plan_query(&other, qtrace, span_id).await,
+        }
+    }
+
+    async fn plan_query(
         &self,
         stmt: &ast::Statement,
         qtrace: &mut Option<Qtrace>,
@@ -134,15 +151,6 @@ impl QueryRouter {
             (ast::Statement::ShowVariable { variable }, _) => {
                 self.show_variable_to_plan(variable, span_id.clone()).await
             }
-            (
-                ast::Statement::Explain {
-                    statement,
-                    verbose,
-                    analyze,
-                    ..
-                },
-                _,
-            ) => self.explain_to_plan(&statement, *verbose, *analyze).await,
             (ast::Statement::StartTransaction { .. }, DatabaseProtocol::PostgreSQL) => {
                 // TODO: Real support
                 Ok(QueryPlan::MetaOk(
@@ -260,68 +268,62 @@ impl QueryRouter {
             .await
     }
 
-    fn explain_to_plan(
+    async fn explain_to_plan(
         &self,
-        statement: &Box<ast::Statement>,
+        statement: Box<ast::Statement>,
         verbose: bool,
         analyze: bool,
-    ) -> Pin<Box<dyn Future<Output = Result<QueryPlan, CompilationError>> + Send>> {
-        let self_cloned = self.clone();
-
-        let statement = statement.clone();
-        // This Boxing construct here because of recursive call to self.plan()
-        Box::pin(async move {
-            // TODO span_id ?
-            let plan = self_cloned.plan(&statement, &mut None, None).await?;
+    ) -> Result<QueryPlan, CompilationError> {
+        // TODO span_id ?
+        let plan = self.plan_query(&statement, &mut None, None).await?;
 
-            match plan {
-                QueryPlan::MetaOk(_, _) | QueryPlan::MetaTabular(_, _) => Ok(QueryPlan::MetaTabular(
-                    StatusFlags::empty(),
-                    Box::new(dataframe::DataFrame::new(
-                        vec![dataframe::Column::new(
-                            "Execution Plan".to_string(),
-                            ColumnType::String,
-                            ColumnFlags::empty(),
-                        )],
-                        vec![dataframe::Row::new(vec![dataframe::TableValue::String(
-                            "This query doesnt have a plan, because it already has values for response"
-                                .to_string(),
-                        )])],
-                    )),
+        match plan {
+            QueryPlan::MetaOk(_, _) | QueryPlan::MetaTabular(_, _) => Ok(QueryPlan::MetaTabular(
+                StatusFlags::empty(),
+                Box::new(dataframe::DataFrame::new(
+                    vec![dataframe::Column::new(
+                        "Execution Plan".to_string(),
+                        ColumnType::String,
+                        ColumnFlags::empty(),
+                    )],
+                    vec![dataframe::Row::new(vec![dataframe::TableValue::String(
+                        "This query doesnt have a plan, because it already has values for response"
+                            .to_string(),
+                    )])],
                 )),
-                QueryPlan::DataFusionSelect(plan, context)
-                | QueryPlan::CreateTempTable(plan, context, _, _) => {
-                    // EXPLAIN over CREATE TABLE AS shows the SELECT query plan
-                    let plan = Arc::new(plan);
-                    let schema = LogicalPlan::explain_schema();
-                    let schema = schema.to_dfschema_ref().map_err(|err| {
-                        CompilationError::internal(format!(
-                            "Unable to get DF schema for explain plan: {}",
-                            err
-                        ))
-                    })?;
-
-                    let explain_plan = if analyze {
-                        LogicalPlan::Analyze(Analyze {
-                            verbose,
-                            input: plan,
-                            schema,
-                        })
-                    } else {
-                        let stringified_plans = vec![plan.to_stringified(PlanType::InitialLogicalPlan)];
-
-                        LogicalPlan::Explain(Explain {
-                            verbose,
-                            plan,
-                            stringified_plans,
-                            schema,
-                        })
-                    };
+            )),
+            QueryPlan::DataFusionSelect(plan, context)
+            | QueryPlan::CreateTempTable(plan, context, _, _) => {
+                // EXPLAIN over CREATE TABLE AS shows the SELECT query plan
+                let plan = Arc::new(plan);
+                let schema = LogicalPlan::explain_schema();
+                let schema = schema.to_dfschema_ref().map_err(|err| {
+                    CompilationError::internal(format!(
+                        "Unable to get DF schema for explain plan: {}",
+                        err
+                    ))
+                })?;
 
-                    Ok(QueryPlan::DataFusionSelect(explain_plan, context))
-                }
+                let explain_plan = if analyze {
+                    LogicalPlan::Analyze(Analyze {
+                        verbose,
+                        input: plan,
+                        schema,
+                    })
+                } else {
+                    let stringified_plans = vec![plan.to_stringified(PlanType::InitialLogicalPlan)];
+
+                    LogicalPlan::Explain(Explain {
+                        verbose,
+                        plan,
+                        stringified_plans,
+                        schema,
+                    })
+                };
+
+                Ok(QueryPlan::DataFusionSelect(explain_plan, context))
             }
-        })
+        }
     }
 
     fn set_role_to_plan(
@@ -535,7 +537,7 @@ impl QueryRouter {
             ));
         };
 
-        let ObjectName(ident_parts) = name;
+        let ast::ObjectName(ident_parts) = name;
         let Some(table_name) = ident_parts.last() else {
             return Err(CompilationError::internal(
                 "table name contains no ident parts".to_string(),
@@ -585,7 +587,7 @@ impl QueryRouter {
                 "DROP TABLE supports dropping only one table at a time".to_string(),
             ));
         }
-        let ObjectName(ident_parts) = names.first().unwrap();
+        let ast::ObjectName(ident_parts) = names.first().unwrap();
         let Some(table_name) = ident_parts.last() else {
             return Err(CompilationError::internal(
                 "table name contains no ident parts".to_string(),
@@ -674,7 +676,7 @@ pub async fn convert_statement_to_cube_query(
     }
 
     let planner = QueryRouter::new(session.state.clone(), meta, session.session_manager.clone());
-    planner.plan(&stmt, qtrace, span_id).await
+    planner.plan(stmt, qtrace, span_id).await
 }
 
 pub async fn convert_sql_to_cube_query(