Fix flaky multiprocessing tests (#7413)

python/ray/tests/test_multiprocessing.py

@@ -23,6 +23,7 @@ def pool():
     pool = Pool(processes=1)
     yield pool
     pool.terminate()
+    pool.join()
     ray.shutdown()
 
 
@@ -31,6 +32,7 @@ def pool_4_processes():
     pool = Pool(processes=4)
     yield pool
     pool.terminate()
+    pool.join()
     ray.shutdown()
 
 
@@ -47,6 +49,8 @@ def test_ray_init(shutdown_only):
     assert ray.is_initialized()
     assert int(ray.state.cluster_resources()["CPU"]) == 2
     check_pool_size(pool, 2)
+    pool.terminate()
+    pool.join()
     ray.shutdown()
 
     # Check that starting a pool doesn't affect ray if there is a local
@@ -56,6 +60,8 @@ def test_ray_init(shutdown_only):
     pool = Pool(processes=2)
     assert int(ray.state.cluster_resources()["CPU"]) == 3
     check_pool_size(pool, 2)
+    pool.terminate()
+    pool.join()
     ray.shutdown()
 
     # Check that trying to start a pool on an existing ray cluster throws an
@@ -94,6 +100,8 @@ def test_connect_to_ray(ray_start_cluster):
     assert ray.is_initialized()
     assert int(ray.state.cluster_resources()["CPU"]) == init_cpus
     check_pool_size(pool, init_cpus)
+    pool.terminate()
+    pool.join()
     ray.shutdown()
 
     # Check that starting a pool connects to a running ray cluster if
@@ -102,6 +110,8 @@ def test_connect_to_ray(ray_start_cluster):
     assert ray.is_initialized()
     assert int(ray.state.cluster_resources()["CPU"]) == start_cpus
     check_pool_size(pool, start_cpus)
+    pool.terminate()
+    pool.join()
     ray.shutdown()
 
     # Set RAY_ADDRESS, so pools should connect to the running ray cluster.
@@ -113,6 +123,8 @@ def test_connect_to_ray(ray_start_cluster):
     assert ray.is_initialized()
     assert int(ray.state.cluster_resources()["CPU"]) == start_cpus
     check_pool_size(pool, start_cpus)
+    pool.terminate()
+    pool.join()
     ray.shutdown()
 
     # Check that trying to start a pool on an existing ray cluster throws an
@@ -135,6 +147,7 @@ def test_initializer(shutdown_only):
 
         assert len(os.listdir(dirname)) == 4
         pool.terminate()
+        pool.join()
 
 
 def test_close(pool_4_processes):
@@ -492,6 +505,8 @@ def test_maxtasksperchild(shutdown_only):
 
     pool = Pool(5, maxtasksperchild=1)
     assert len(set(pool.map(f, range(20)))) == 20
+    pool.terminate()
+    pool.join()
 
 
 if __name__ == "__main__":

python/ray/util/multiprocessing/pool.py

@@ -31,7 +31,7 @@ class ResultThread(threading.Thread):
                  callback=None,
                  error_callback=None,
                  total_object_ids=None):
-        threading.Thread.__init__(self)
+        threading.Thread.__init__(self, daemon=True)
         self._got_error = False
         self._object_ids = []
         self._num_ready = 0
@@ -232,13 +232,14 @@ class OrderedIMapIterator(IMapIterator):
             if self._next_chunk_index == self._total_chunks:
                 raise StopIteration
 
-            while timeout is None or timeout > 0:
+            # This loop will break when the next index in order is ready or
+            # self._result_thread.next_ready_index() raises a timeout.
+            index = -1
+            while index != self._next_chunk_index:
                 start = time.time()
                 index = self._result_thread.next_ready_index(timeout=timeout)
                 self._submit_next_chunk()
                 self._submitted_chunks[index] = True
-                if index == self._next_chunk_index:
-                    break
                 if timeout is not None:
                     timeout = max(0, timeout - (time.time() - start))