diff --git a/python/paddle/fluid/tests/unittests/CMakeLists.txt b/python/paddle/fluid/tests/unittests/CMakeLists.txt
index e53c49b13e0330e7e59644d366fefb1246142259..9a5b7d48509e750fd51250961418a43a830d68db 100644
--- a/python/paddle/fluid/tests/unittests/CMakeLists.txt
+++ b/python/paddle/fluid/tests/unittests/CMakeLists.txt
@@ -15,6 +15,7 @@ if(NOT WITH_DISTRIBUTE)
     list(REMOVE_ITEM TEST_OPS test_dist_transpiler)
     list(REMOVE_ITEM TEST_OPS test_simple_dist_transpiler)
     list(REMOVE_ITEM TEST_OPS test_listen_and_serv_op)
+    list(REMOVE_ITEM TEST_OPS test_pserver_run_empty_optimize_block)
     LIST(REMOVE_ITEM TEST_OPS test_dist_mnist)
     LIST(REMOVE_ITEM TEST_OPS test_dist_word2vec)
 endif(NOT WITH_DISTRIBUTE)
@@ -74,6 +75,7 @@ py_test_modules(test_warpctc_op MODULES test_warpctc_op ENVS FLAGS_warpctc_dir=$
 if(WITH_DISTRIBUTE)
     py_test_modules(test_dist_train MODULES test_dist_train SERIAL)
     set_tests_properties(test_listen_and_serv_op PROPERTIES TIMEOUT 20)
+    set_tests_properties(test_pserver_run_empty_optimize_block PROPERTIES TIMEOUT 20)
     if(NOT APPLE)
         set_tests_properties(test_dist_mnist PROPERTIES TIMEOUT 200)
         set_tests_properties(test_dist_word2vec PROPERTIES TIMEOUT 200)
diff --git a/python/paddle/fluid/tests/unittests/test_pserver_run_empty_optimize_block.py b/python/paddle/fluid/tests/unittests/test_pserver_run_empty_optimize_block.py
new file mode 100644
index 0000000000000000000000000000000000000000..197ce9de563225472b8f384f541ccde9a3adb592
--- /dev/null
+++ b/python/paddle/fluid/tests/unittests/test_pserver_run_empty_optimize_block.py
@@ -0,0 +1,117 @@
+#   Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import print_function
+
+import paddle
+import paddle.fluid as fluid
+import os
+import signal
+import subprocess
+import time
+import unittest
+from multiprocessing import Process
+from op_test import OpTest
+
+
+def run_pserver(use_cuda, sync_mode, ip, port, trainers, trainer_id):
+    x = fluid.layers.data(name='x', shape=[1], dtype='float32')
+    y_predict = fluid.layers.fc(input=x, size=1, act=None, bias_attr=False)
+    y = fluid.layers.data(name='y', shape=[1], dtype='float32')
+
+    # loss function
+    cost = fluid.layers.square_error_cost(input=y_predict, label=y)
+    avg_cost = fluid.layers.mean(cost)
+
+    # optimizer
+    sgd_optimizer = fluid.optimizer.SGD(learning_rate=0.001)
+    sgd_optimizer.minimize(avg_cost)
+
+    place = fluid.CUDAPlace(0) if use_cuda else fluid.CPUPlace()
+    exe = fluid.Executor(place)
+
+    ps1 = ip + ":" + str(int(port) + 1)
+    ps2 = ip + ":" + port
+    pserver_endpoints = ps1 + "," + ps2
+
+    config = fluid.DistributeTranspilerConfig()
+    config.slice_var_up = False
+    t = fluid.DistributeTranspiler(config=config)
+    t.transpile(
+        trainer_id,
+        pservers=pserver_endpoints,
+        trainers=trainers,
+        sync_mode=sync_mode)
+    pserver_prog = t.get_pserver_program(ps2)
+
+    # pserver2 have no parameter
+    assert (len(pserver_prog.blocks), 2)
+    assert (len(pserver_prog.blocks[1].ops), 0)
+
+    pserver_startup = t.get_startup_program(ps2, pserver_prog)
+    exe.run(pserver_startup)
+    exe.run(pserver_prog)
+
+
+class TestListenAndServOp(OpTest):
+    def setUp(self):
+        self.ps_timeout = 5
+        self.ip = "127.0.0.1"
+        self.port = "0"
+        self.trainers = 1
+        self.trainer_id = 0
+
+    def _start_pserver(self, use_cuda, sync_mode):
+        p = Process(
+            target=run_pserver,
+            args=(use_cuda, sync_mode, self.ip, self.port, self.trainers,
+                  self.trainer_id))
+        p.daemon = True
+        p.start()
+        return p
+
+    def _wait_ps_ready(self, pid):
+        start_left_time = self.ps_timeout
+        sleep_time = 0.5
+        while True:
+            assert start_left_time >= 0, "wait ps ready failed"
+            time.sleep(sleep_time)
+            try:
+                # the listen_and_serv_op would touch a file which contains the listen port
+                # on the /tmp directory until it was ready to process all the RPC call.
+                os.stat("/tmp/paddle.%d.port" % pid)
+                return
+            except os.error:
+                start_left_time -= sleep_time
+
+    def test_handle_signal_in_serv_op(self):
+        # run pserver on CPU in sync mode
+        p1 = self._start_pserver(False, True)
+        self._wait_ps_ready(p1.pid)
+
+        # raise SIGTERM to pserver
+        os.kill(p1.pid, signal.SIGINT)
+        p1.join()
+
+        # run pserver on CPU in async mode
+        p2 = self._start_pserver(False, False)
+        self._wait_ps_ready(p2.pid)
+
+        # raise SIGTERM to pserver
+        os.kill(p2.pid, signal.SIGTERM)
+        p2.join()
+
+
+if __name__ == '__main__':
+    unittest.main()