diff --git a/flink/v1.15/flink/src/test/java/com/netease/arctic/flink/TestFlinkSchemaUtil.java b/flink/v1.15/flink/src/test/java/com/netease/arctic/flink/TestFlinkSchemaUtil.java
deleted file mode 100644
index 208d382d97..0000000000
--- a/flink/v1.15/flink/src/test/java/com/netease/arctic/flink/TestFlinkSchemaUtil.java
+++ /dev/null
@@ -1,42 +0,0 @@
-package com.netease.arctic.flink;
-
-import org.apache.flink.table.api.DataTypes;
-import org.apache.flink.table.api.TableSchema;
-import org.apache.iceberg.Schema;
-import org.junit.Assert;
-import org.junit.Test;
-
-import java.util.ArrayList;
-import java.util.Map;
-
-public class TestFlinkSchemaUtil {
-  @Test
-  public void testFlinkSchemaToIcebergSchema() {
-    // flinkSchema with physical column,compute column, watermark
-    TableSchema flinkSchema =
-        TableSchema.builder()
-            .field("id", DataTypes.INT().notNull())
-            .field("name", DataTypes.STRING())
-            .field("ts", DataTypes.TIMESTAMP(6))
-            .field("compute_id", DataTypes.INT(), "`id` + 5")
-            .field("proc", DataTypes.TIMESTAMP_LTZ(), "PROCTIME()")
-            // org.apache.iceberg.flink.TypeToFlinkType will convert Timestamp to Timestamp(6), so
-            // we cast datatype manually
-            .field("ts3", DataTypes.TIMESTAMP(3), "cast(ts as timestamp(3))")
-            .watermark("ts3", "`ts3` - INTERVAL '5' SECOND", DataTypes.TIMESTAMP(3))
-            .build();
-
-    // get physicalSchema from tableSchema
-    Schema icebergSchema =
-        org.apache.iceberg.flink.FlinkSchemaUtil.convert(
-            FlinkSchemaUtil.getPhysicalSchema(flinkSchema));
-
-    Map<String, String> arcticProperties = FlinkSchemaUtil.addSchemaProperties(flinkSchema);
-
-    // Convert iceberg Schema to flink TableSchema
-    TableSchema fromIcebergSchema =
-        FlinkSchemaUtil.toSchema(icebergSchema, new ArrayList<>(), arcticProperties);
-
-    Assert.assertEquals(flinkSchema, fromIcebergSchema);
-  }
-}