diff --git a/examples/SQL+DF-Examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb b/examples/SQL+DF-Examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb
index a7f9780d..93c71736 100644
--- a/examples/SQL+DF-Examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb
+++ b/examples/SQL+DF-Examples/micro-benchmarks/notebooks/micro-benchmarks-gpu.ipynb
@@ -52,7 +52,9 @@
     "        total_time += round(end - start, 2)\n",
     "        count = count + 1\n",
     "        print(\"Retry times : {}, \".format(count) + appName + \" microbenchmark takes {} seconds\".format(round(end - start, 2)))\n",
-    "    print(appName + \" microbenchmark takes average {} seconds after {} retries\".format(round(total_time/retryTimes),retryTimes))"
+    "    print(appName + \" microbenchmark takes average {} seconds after {} retries\".format(round(total_time/retryTimes),retryTimes))\n",
+    "    with open('result.txt', 'a') as file:\n",
+    "        file.write(\"{},{},{}\\n\".format(appName, round(total_time/retryTimes), retryTimes))"
    ]
   },
   {
@@ -111,12 +113,12 @@
     "# Load dataframe and create tempView\n",
     "# You need to update data path to your real path!\n",
     "dataRoot = os.getenv(\"DATA_ROOT\", \"/data\")\n",
-    "spark.read.parquet(dataRoot + \"/tpcds/customer\").createOrReplaceTempView(\"customer\")\n",
-    "spark.read.parquet(dataRoot + \"/tpcds/store_sales\").createOrReplaceTempView(\"store_sales\")\n",
-    "spark.read.parquet(dataRoot + \"/tpcds/catalog_sales\").createOrReplaceTempView(\"catalog_sales\")\n",
-    "spark.read.parquet(dataRoot + \"/tpcds/web_sales\").createOrReplaceTempView(\"web_sales\")\n",
-    "spark.read.parquet(dataRoot + \"/tpcds/item\").createOrReplaceTempView(\"item\")\n",
-    "spark.read.parquet(dataRoot + \"/tpcds/date_dim\").createOrReplaceTempView(\"date_dim\")\n",
+    "spark.read.parquet(dataRoot + \"/customer.dat\").createOrReplaceTempView(\"customer\")\n",
+    "spark.read.parquet(dataRoot + \"/store_sales.dat\").createOrReplaceTempView(\"store_sales\")\n",
+    "spark.read.parquet(dataRoot + \"/catalog_sales.dat\").createOrReplaceTempView(\"catalog_sales\")\n",
+    "spark.read.parquet(dataRoot + \"/web_sales.dat\").createOrReplaceTempView(\"web_sales\")\n",
+    "spark.read.parquet(dataRoot + \"/item.dat\").createOrReplaceTempView(\"item\")\n",
+    "spark.read.parquet(dataRoot + \"/date_dim.dat\").createOrReplaceTempView(\"date_dim\")\n",
     "print(\"-\"*50)"
    ]
   },
@@ -497,7 +499,7 @@
    ],
    "source": [
     "start = time() \n",
-    "spark.read.parquet(dataRoot + \"/tpcds/customer\").limit(1000000).write.format(\"parquet\").mode(\"overwrite\").save(\"/data/tmp/customer1m\")\n",
+    "spark.read.parquet(dataRoot + \"/customer.dat\").limit(1000000).write.format(\"parquet\").mode(\"overwrite\").save(\"/data/tmp/customer1m\")\n",
     "end = time()\n",
     "# Parquet file scanning and writing will be about 3 times faster running on GPU\n",
     "print(\"scanning and writing parquet cost : {} seconds\".format(round(end - start, 2)))\n",
@@ -557,8 +559,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "spark.read.parquet(dataRoot + \"/tpcds/store_sales\").createOrReplaceTempView(\"store_sales\")\n",
-    "spark.read.parquet(dataRoot + \"/tpcds/store_returns\").createOrReplaceTempView(\"store_returns\")\n",
+    "spark.read.parquet(dataRoot + \"/store_sales.dat\").createOrReplaceTempView(\"store_sales\")\n",
+    "spark.read.parquet(dataRoot + \"/store_returns.dat\").createOrReplaceTempView(\"store_returns\")\n",
     "\n",
     "print(\"-\"*50)\n",
     "query = '''\n",