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dtde/clusterlib.py

@@ -23,7 +23,8 @@ def cluster_install_cmd(zip_resource_file: batch_models.ResourceFile, custom_scr
         'sed -i -e "s/Defaults    requiretty.*/ #Defaults    requiretty/g" /etc/sudoers',
         'unzip $AZ_BATCH_TASK_WORKING_DIR/%s' % zip_resource_file.file_path,
         'chmod 777 $AZ_BATCH_TASK_WORKING_DIR/main.sh',
-        'dos2unix $AZ_BATCH_TASK_WORKING_DIR/main.sh', # Convert windows line ending to unix if applicable
+        # Convert windows line ending to unix if applicable
+        'dos2unix $AZ_BATCH_TASK_WORKING_DIR/main.sh',
         '$AZ_BATCH_TASK_WORKING_DIR/main.sh'
     ]
 
@@ -194,7 +195,8 @@ def create_cluster(
         vm_size=vm_size,
         target_dedicated_nodes=vm_count,
         target_low_priority_nodes=vm_low_pri_count,
-        start_task=generate_cluster_start_task(pool_id, zip_resource_file, custom_script),
+        start_task=generate_cluster_start_task(
+            pool_id, zip_resource_file, custom_script),
         enable_inter_node_communication=True,
         max_tasks_per_node=1)
 
@@ -203,51 +205,17 @@ def create_cluster(
         pool,
         wait)
 
-    return # TODO 
-
     # Create job
     job = batch_models.JobAddParameter(
         id=job_id,
         pool_info=batch_models.PoolInformation(pool_id=pool_id))
 
     # Add job to batch
-    batch_client.job.add(job)
-
-    # create application/coordination commands
-    coordination_cmd = cluster_connect_cmd()
-    application_cmd = cluster_start_cmd(
-        constants._WEBUI_PORT, constants._JUPYTER_PORT)
-
-    # reuse pool_id as multi-instance task id
-    task_id = pool_id
-
-    # Create multi-instance task
-    task = batch_models.TaskAddParameter(
-        id=task_id,
-        command_line=util.wrap_commands_in_shell(application_cmd),
-        resource_files=[],
-        multi_instance_settings=batch_models.MultiInstanceSettings(
-            number_of_instances=vm_count + vm_low_pri_count,
-            coordination_command_line=util.wrap_commands_in_shell(
-                coordination_cmd),
-            common_resource_files=[]))
-
-    # Add task to batch job (which has the same name as pool_id)
-    try:
-        batch_client.task.add(job_id=job_id, task=task)
-    except batch_models.batch_error.BatchErrorException as err:
-        util.print_batch_exception(err)
-        if err.error.code != 'JobExists':
-            raise
-        else:
-            print('Job {!r} already exists'.format(job_id))
+    # batch_client.job.add(job) # TODO
 
     # Wait for the app to finish
     if wait == True:
-
-        util.wait_for_tasks_to_complete(
-            job_id,
-            timedelta(minutes=60))
+        util.wait_for_master_to_be_ready(pool_id)
 
         if username is not None and password is not None:
             create_user(pool_id, username, password)

dtde/util.py

@@ -40,6 +40,24 @@ def wait_for_tasks_to_complete(job_id, timeout):
     raise TimeoutError("Timed out waiting for tasks to complete")
 
 
+def wait_for_master_to_be_ready(cluster_id: str):
+    batch_client = azure_api.get_batch_client()
+    master_node_id = None
+    while True:
+        if not master_node_id:
+            master_node_id = get_master_node_id(cluster_id)
+            if not master_node_id:
+                time.sleep(5)
+                continue
+            
+        master_node = batch_client.compute_node.get(cluster_id, master_node_id)
+        if master_node.state == batch_models.ComputeNodeState.idle or master_node.state == batch_models.ComputeNodeState.running:
+            break
+        else:
+            time.sleep(10)
+    time.sleep(5)
+
+
 def upload_file_to_container(container_name, file_path, use_full_path) -> batch_models.ResourceFile:
     """
     Uploads a local file to an Azure Blob storage container.
@@ -92,6 +110,7 @@ def print_configuration(config):
     print("\nConfiguration is:")
     print(configuration_dict)
 
+
 def get_master_node_id_from_pool(pool: batch_models.CloudPool):
     """
         :returns: the id of the node that is the assigned master of this pool
@@ -105,6 +124,7 @@ def get_master_node_id_from_pool(pool: batch_models.CloudPool):
 
     return None
 
+
 def get_master_node_id(pool_id):
     batch_client = azure_api.get_batch_client()
     return get_master_node_id_from_pool(batch_client.pool.get(pool_id))
@@ -124,7 +144,7 @@ def create_pool_if_not_exist(pool, wait=True):
     try:
         batch_client.pool.add(pool)
         if wait:
-            wait_for_all_nodes_state(batch_client, pool, frozenset(
+            wait_for_all_nodes_state(pool, frozenset(
                 (batch_models.ComputeNodeState.start_task_failed,
                  batch_models.ComputeNodeState.unusable,
                  batch_models.ComputeNodeState.idle)

node_scripts/install/install.py

@@ -13,11 +13,11 @@ def setup_node():
 
 def setup_as_master():
     print("Setting up as master.")
-    spark.setup_connection()
-    spark.start_spark()
+    spark.start_spark_master()
+    # spark.start_spark_worker()
 
 
 def setup_as_worker():
     print("Setting up as worker.")
-    spark.setup_connection()
-    # spark.start_spark()
+
+    spark.start_spark_worker()

node_scripts/install/pick_master.py

@@ -61,14 +61,18 @@ def find_master(client: batch.BatchServiceClient) -> bool:
         master = get_master_node_id(pool)
 
         if master:
-            print("Pool already has a master '%s'. This node will be a worker" % master)
-            return False
+            if master == config.node_id:
+                print("Node is already the master '%s'" % master)
+                return True
+            else:
+                print("Pool already has a master '%s'. This node will be a worker" % master)
+                return False
         else:
             print("Pool has no master. Fighting for the throne! (%i/5)" % (i + 1))
             result = try_assign_self_as_master(client, pool)
 
             if result:
-                print("The battle has been won! Node %s is the new master.", config.node_id)
+                print("The battle has been won! Node %s is the new master." % config.node_id)
                 return True
 
     raise CannotAllocateMasterError("Unable to assign node as a master in 5 tries")

node_scripts/install/spark.py

@@ -20,6 +20,10 @@ def get_pool() -> batchmodels.CloudPool:
     return batch_client.pool.get(config.pool_id)
 
 
+def get_node(node_id: str) -> batchmodels.ComputeNode:
+    return batch_client.compute_node.get(config.pool_id, node_id)
+
+
 def list_nodes() -> List[batchmodels.ComputeNode]:
     """
         List all the nodes in the pool.
@@ -49,7 +53,8 @@ def setup_connection():
     """
     wait_for_pool_ready()
     print("Pool is now steady. Setting up master")
-    master_node_ip = pick_master.get_master_node_id(batch_client.pool.get(config.pool_id))
+    master_node_ip = pick_master.get_master_node_id(
+        batch_client.pool.get(config.pool_id))
 
     nodes = list_nodes()
 
@@ -58,10 +63,12 @@ def setup_connection():
 
     for node in nodes:
         if node.id == master_node_ip:
-            print("Adding node %s as a master" % node.id)
+            print("Adding node %s as a master with ip %s" %
+                  (node.id, node.ip_address))
             master_file.write("%s\n" % node.ip_address)
         else:
-            print("Adding node %s as a slave" % node.id)
+            print("Adding node %s as a slave with ip %s" %
+                  (node.id, node.ip_address))
             slaves_file.write("%s\n" % node.ip_address)
 
     master_file.close()
@@ -69,7 +76,8 @@ def setup_connection():
 
 
 def generate_jupyter_config():
-    master_node_ip = pick_master.get_master_node_id(batch_client.pool.get(config.pool_id))
+    master_node_ip = pick_master.get_master_node_id(
+        batch_client.pool.get(config.pool_id))
     return dict(
         display_name="PySpark",
         language="python",
@@ -91,34 +99,67 @@ def generate_jupyter_config():
 def setup_jupyter():
     print("Setting up jupyter.")
     call(["/anaconda/envs/py35/bin/jupyter", "notebook", "--generate-config"])
-    with open("test.txt", "a") as config_file:
+
+    jupyter_config_file = os.path.join(os.path.expanduser("~"), ".jupyter/jupyter_notebook_config.py")
+
+    with open(jupyter_config_file, "a") as config_file:
         config_file.write('\n')
         config_file.write('c.NotebookApp.token=""\n')
         config_file.write('c.NotebookApp.password=""\n')
     shutil.rmtree('/usr/local/share/jupyter/kernels')
-    os.makedirs('/usr/local/share/jupyter/kernels/pyspark', exist_ok=True)
+    os.makedirs('/usr/local/share/jupyter/kernels/pyspark', exist_ok = True)
 
     with open('/usr/local/share/jupyter/kernels/pyspark/kernel.json', 'w') as outfile:
-        data = generate_jupyter_config()
+        data=generate_jupyter_config()
         json.dump(data, outfile)
 
 
 def start_jupyter():
-    jupyter_port = config.jupyter_port
+    jupyter_port=config.jupyter_port
 
-    my_env = os.environ.copy()
-    my_env["PYSPARK_DRIVER_PYTHON"] = "/anaconda/envs/py35/bin/jupyter"
-    my_env["PYSPARK_DRIVER_PYTHON_OPTS"] = "notebook --no-browser --port='%s'" % jupyter_port
+    my_env=os.environ.copy()
+    my_env["PYSPARK_DRIVER_PYTHON"]="/anaconda/envs/py35/bin/jupyter"
+    my_env["PYSPARK_DRIVER_PYTHON_OPTS"]="notebook --no-browser --port='%s'" % jupyter_port
 
-    # call("pyspark", "&", env=my_env)
-    Popen(["pyspark"], close_fds=True)
+    Popen(["pyspark"], close_fds = True)
 
 
-def start_spark():
-    webui_port = config.webui_port
+def wait_for_master():
+    print("Waiting for master to be ready.")
+    master_node_ip=pick_master.get_master_node_id(
+        batch_client.pool.get(config.pool_id))
+    while True:
+        master_node=get_node(master_node_ip)
 
-    exe = os.path.join(spark_home, "sbin", "start-all.sh")
-    call([exe, "--webui-port", str(webui_port), "&"])
+        if master_node.state == batchmodels.ComputeNodeState.idle or master_node.state == batchmodels.ComputeNodeState.running:
+            break
+        else:
+            print("Still waiting on master")
+            time.sleep(10)
+
+
+def start_spark_master():
+    webui_port=config.webui_port
+    master_ip=get_node(config.node_id).ip_address
+    exe=os.path.join(spark_home, "sbin", "start-master.sh")
+    cmd=[exe, "-h", master_ip]
+    print("Starting master with '%s'" % " ".join(cmd))
+    call(cmd)
 
     setup_jupyter()
     start_jupyter()
+
+
+def start_spark_worker():
+    wait_for_master()
+    exe=os.path.join(spark_home, "sbin", "start-slave.sh")
+    master_node_id=pick_master.get_master_node_id(
+        batch_client.pool.get(config.pool_id))
+    master_node=get_node(master_node_id)
+
+    my_env=os.environ.copy()
+    my_env["SPARK_MASTER_IP"]=master_node.ip_address
+
+    cmd=[exe, "spark://%s:7077" % master_node.ip_address]
+    print("Connecting to master with '%s'" % " ".join(cmd))
+    call(cmd)