diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index 5d41c07b4784..ba7c5ff6d66a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -3661,20 +3661,23 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
   object ResolveOutputRelation extends Rule[LogicalPlan] {
     override def apply(plan: LogicalPlan): LogicalPlan = plan.resolveOperatorsWithPruning(
       _.containsPattern(COMMAND), ruleId) {
-      case v2Write: V2WriteCommand
-          if v2Write.table.resolved && v2Write.query.resolved && !v2Write.outputResolved =>
+      case v2Write: V2WriteCommand =>
         validateStoreAssignmentPolicy()
-        TableOutputResolver.suitableForByNameCheck(v2Write.isByName,
-          expected = v2Write.table.output, queryOutput = v2Write.query.output)
-        val projection = TableOutputResolver.resolveOutputColumns(
-          v2Write.table.name, v2Write.table.output, v2Write.query, v2Write.isByName, conf)
-        if (projection != v2Write.query) {
-          val cleanedTable = v2Write.table match {
-            case r: DataSourceV2Relation =>
-              r.copy(output = r.output.map(CharVarcharUtils.cleanAttrMetadata))
-            case other => other
+        if (v2Write.table.resolved && v2Write.query.resolved && !v2Write.outputResolved) {
+          TableOutputResolver.suitableForByNameCheck(v2Write.isByName,
+            expected = v2Write.table.output, queryOutput = v2Write.query.output)
+          val projection = TableOutputResolver.resolveOutputColumns(
+            v2Write.table.name, v2Write.table.output, v2Write.query, v2Write.isByName, conf)
+          if (projection != v2Write.query) {
+            val cleanedTable = v2Write.table match {
+              case r: DataSourceV2Relation =>
+                r.copy(output = r.output.map(CharVarcharUtils.cleanAttrMetadata))
+              case other => other
+            }
+            v2Write.withNewQuery(projection).withNewTable(cleanedTable)
+          } else {
+            v2Write
           }
-          v2Write.withNewQuery(projection).withNewTable(cleanedTable)
         } else {
           v2Write
         }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWriterV2Suite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWriterV2Suite.scala
index b7ac6af22a20..4598b3619e8c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWriterV2Suite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWriterV2Suite.scala
@@ -839,4 +839,18 @@ class DataFrameWriterV2Suite extends QueryTest with SharedSparkSession with Befo
       condition = "CALL_ON_STREAMING_DATASET_UNSUPPORTED",
       parameters = Map("methodName" -> "`writeTo`"))
   }
+
+  test("SPARK-49975: write should fail with legacy store assignment policy") {
+    withSQLConf((SQLConf.STORE_ASSIGNMENT_POLICY.key, "LEGACY")) {
+      checkError(
+        exception = intercept[AnalysisException] {
+          spark.range(10)
+            .writeTo("table_name")
+            .append()
+        },
+        condition = "_LEGACY_ERROR_TEMP_1000",
+        parameters = Map("configKey" -> "spark.sql.storeAssignmentPolicy")
+      )
+    }
+  }
 }