Add scheduler_options to pass scheduler-specific parameters

ci/slurm.sh

@@ -11,6 +11,16 @@ function jobqueue_before_install {
 
     docker ps -a
     docker images
+    show_network_interfaces
+}
+
+function show_network_interfaces {
+    for c in slurmctld c1 c2; do
+        echo '------------------------------------------------------------'
+        echo docker container: $c
+        docker exec -it $c python -c 'import psutil; print(psutil.net_if_addrs().keys())'
+        echo '------------------------------------------------------------'
+    done
 }
 
 function jobqueue_install {

ci/slurm/Dockerfile

@@ -1,5 +1,7 @@
 FROM giovtorres/slurm-docker-cluster
 
+RUN yum install -y iproute
+
 RUN curl -o miniconda.sh https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
     bash miniconda.sh -f -b -p /opt/anaconda && \
     /opt/anaconda/bin/conda clean -tipy && \

ci/slurm/docker-compose.yml

@@ -12,6 +12,8 @@ services:
       MYSQL_PASSWORD: password
     volumes:
       - var_lib_mysql:/var/lib/mysql
+    networks:
+      common-network:
 
   slurmdbd:
     build: .
@@ -26,6 +28,8 @@ services:
       - "6819"
     depends_on:
       - mysql
+    networks:
+      common-network:
 
   slurmctld:
     build: .
@@ -42,6 +46,11 @@ services:
       - "6817"
     depends_on:
       - "slurmdbd"
+    networks:
+      common-network:
+        ipv4_address: 10.1.1.10
+    cap_add:
+      - NET_ADMIN
 
   c1:
     build: .
@@ -57,6 +66,11 @@ services:
       - "6818"
     depends_on:
       - "slurmctld"
+    networks:
+      common-network:
+        ipv4_address: 10.1.1.11
+    cap_add:
+      - NET_ADMIN
 
   c2:
     build: .
@@ -72,10 +86,23 @@ services:
       - "6818"
     depends_on:
       - "slurmctld"
+    networks:
+      common-network:
+        ipv4_address: 10.1.1.12
+    cap_add:
+      - NET_ADMIN
 
 volumes:
   etc_munge:
   etc_slurm:
   slurm_jobdir:
   var_lib_mysql:
   var_log_slurm:
+
+networks:
+  common-network:
+    driver: bridge
+    ipam:
+      driver: default
+      config:
+        - subnet: 10.1.1.0/24

ci/slurm/start-slurm.sh

@@ -1,9 +1,17 @@
 #!/bin/bash
 
 docker-compose up --build -d
+
 while [ `./register_cluster.sh 2>&1 | grep "sacctmgr: error" | wc -l` -ne 0 ]
   do
     echo "Waiting for SLURM cluster to become ready";
     sleep 2
   done
 echo "SLURM properly configured"
+
+# On some clusters the login node does not have the same interface as the
+# compute nodes. The next three lines allow to test this edge case by adding
+# separate interfaces on the worker and on the scheduler nodes.
+docker exec slurmctld ip addr add 10.1.1.20/24 dev eth0 label eth0:scheduler
+docker exec c1 ip addr add 10.1.1.21/24 dev eth0 label eth0:worker
+docker exec c2 ip addr add 10.1.1.22/24 dev eth0 label eth0:worker

dask_jobqueue/core.py

@@ -15,7 +15,7 @@
 from distributed.deploy.spec import ProcessInterface, SpecCluster
 from distributed.deploy.local import nprocesses_nthreads
 from distributed.scheduler import Scheduler
-from distributed.utils import format_bytes, parse_bytes, tmpfile, get_ip_interface
+from distributed.utils import format_bytes, parse_bytes, tmpfile
 
 logger = logging.getLogger(__name__)
 
@@ -30,7 +30,11 @@
         By default, ``process ~= sqrt(cores)`` so that the number of processes
         and the number of threads per process is roughly the same.
     interface : str
-        Network interface like 'eth0' or 'ib0'.
+        Network interface like 'eth0' or 'ib0'. This will be used both for the
+        Dask scheduler and the Dask workers interface. If you need a different
+        interface for the Dask scheduler you can pass it through
+        the ``scheduler_options`` argument:
+        ``interface=your_worker_interface, scheduler_options={'interface': your_scheduler_interface}``.
     nanny : bool
         Whether or not to start a nanny process
     local_directory : str
@@ -69,8 +73,12 @@
         Whether or not to run this cluster object with the async/await syntax
     security : Security
         A dask.distributed security object if you're using TLS/SSL
-    dashboard_address : str or int
-        An address like ":8787" on which to host the Scheduler's dashboard
+    scheduler_options : dict
+        Used to pass additional arguments to Dask Scheduler. For example use
+        ``scheduler_options={'dasboard_address': ':12435'}`` to specify which
+        port the web dashboard should use or ``scheduler_options={'host': 'your-host'}``
+        to specify the host the Dask scheduler should run on. See
+        :class:`distributed.Scheduler` for more details.
 """.strip()
 
 
@@ -202,9 +210,6 @@ def __init__(
 
         if interface:
             extra = extra + ["--interface", interface]
-            kwargs.setdefault("host", get_ip_interface(interface))
-        else:
-            kwargs.setdefault("host", "")
 
         # Keep information on process, cores, and memory, for use in subclasses
         self.worker_memory = parse_bytes(memory) if memory is not None else None
@@ -420,13 +425,15 @@ def __init__(
         silence_logs="error",
         name=None,
         asynchronous=False,
-        # Scheduler keywords
-        interface=None,
+        # Scheduler-only keywords
+        dashboard_address=None,
         host=None,
+        scheduler_options=None,
+        # Options for both scheduler and workers
+        interface=None,
         protocol="tcp://",
-        dashboard_address=":8787",
-        config_name=None,
         # Job keywords
+        config_name=None,
         **kwargs
     ):
         self.status = "created"
@@ -447,22 +454,47 @@ def __init__(
                 )
             )
 
+        if dashboard_address is not None:
+            raise ValueError(
+                "Please pass 'dashboard_address' through 'scheduler_options': use\n"
+                'cluster = {0}(..., scheduler_options={{"dashboard_address": ":12345"}}) rather than\n'
+                'cluster = {0}(..., dashboard_address="12435")'.format(
+                    self.__class__.__name__
+                )
+            )
+
+        if host is not None:
+            raise ValueError(
+                "Please pass 'host' through 'scheduler_options': use\n"
+                'cluster = {0}(..., scheduler_options={{"host": "your-host"}}) rather than\n'
+                'cluster = {0}(..., host="your-host")'.format(self.__class__.__name__)
+            )
+
         default_config_name = self.job_cls.default_config_name()
         if config_name is None:
             config_name = default_config_name
 
         if interface is None:
             interface = dask.config.get("jobqueue.%s.interface" % config_name)
+        if scheduler_options is None:
+            scheduler_options = {}
+
+        default_scheduler_options = {
+            "protocol": protocol,
+            "dashboard_address": ":8787",
+            "security": security,
+        }
+        # scheduler_options overrides parameters common to both workers and scheduler
+        scheduler_options = dict(default_scheduler_options, **scheduler_options)
+
+        # Use the same network interface as the workers if scheduler ip has not
+        # been set through scheduler_options via 'host' or 'interface'
+        if "host" not in scheduler_options and "interface" not in scheduler_options:
+            scheduler_options["interface"] = interface
 
         scheduler = {
             "cls": Scheduler,  # Use local scheduler for now
-            "options": {
-                "protocol": protocol,
-                "interface": interface,
-                "host": host,
-                "dashboard_address": dashboard_address,
-                "security": security,
-            },
+            "options": scheduler_options,
         }
 
         kwargs["config_name"] = config_name

dask_jobqueue/tests/test_jobqueue_core.py

@@ -84,7 +84,7 @@ def test_forward_ip():
         cores=8,
         memory="28GB",
         name="dask-worker",
-        host=ip,
+        scheduler_options={"host": ip},
     ) as cluster:
         assert cluster.scheduler.ip == ip
 
@@ -268,3 +268,78 @@ def test_default_number_of_worker_processes(Cluster):
     with Cluster(cores=6, memory="4GB") as cluster:
         assert " --nprocs 3" in cluster.job_script()
         assert " --nthreads 2" in cluster.job_script()
+
+
+@pytest.mark.parametrize(
+    "Cluster",
+    [PBSCluster, MoabCluster, SLURMCluster, SGECluster, LSFCluster, OARCluster],
+)
+def test_scheduler_options(Cluster):
+    net_if_addrs = psutil.net_if_addrs()
+    interface = list(net_if_addrs.keys())[0]
+    port = 8804
+
+    with Cluster(
+        cores=1, memory="1GB", scheduler_options={"interface": interface, "port": port}
+    ) as cluster:
+        scheduler_options = cluster.scheduler_spec["options"]
+        assert scheduler_options["interface"] == interface
+        assert scheduler_options["port"] == port
+
+
+@pytest.mark.parametrize(
+    "Cluster",
+    [PBSCluster, MoabCluster, SLURMCluster, SGECluster, LSFCluster, OARCluster],
+)
+def test_scheduler_options_interface(Cluster):
+    net_if_addrs = psutil.net_if_addrs()
+    scheduler_interface = list(net_if_addrs.keys())[0]
+    worker_interface = "worker-interface"
+    scheduler_host = socket.gethostname()
+
+    with Cluster(cores=1, memory="1GB", interface=scheduler_interface) as cluster:
+        scheduler_options = cluster.scheduler_spec["options"]
+        worker_options = cluster.new_spec["options"]
+        assert scheduler_options["interface"] == scheduler_interface
+        assert worker_options["interface"] == scheduler_interface
+
+    with Cluster(
+        cores=1,
+        memory="1GB",
+        interface=worker_interface,
+        scheduler_options={"interface": scheduler_interface},
+    ) as cluster:
+        scheduler_options = cluster.scheduler_spec["options"]
+        worker_options = cluster.new_spec["options"]
+        assert scheduler_options["interface"] == scheduler_interface
+        assert worker_options["interface"] == worker_interface
+
+    with Cluster(
+        cores=1,
+        memory="1GB",
+        interface=worker_interface,
+        scheduler_options={"host": scheduler_host},
+    ) as cluster:
+        scheduler_options = cluster.scheduler_spec["options"]
+        assert scheduler_options.get("interface") is None
+        assert scheduler_options["host"] == scheduler_host
+        assert worker_options["interface"] == worker_interface
+
+
+@pytest.mark.parametrize(
+    "Cluster",
+    [PBSCluster, MoabCluster, SLURMCluster, SGECluster, LSFCluster, OARCluster],
+)
+def test_cluster_error_scheduler_arguments_should_use_scheduler_options(Cluster):
+    scheduler_host = socket.gethostname()
+    message_template = "pass {!r} through 'scheduler_options'"
+
+    message = message_template.format("host")
+    with pytest.raises(ValueError, match=message):
+        with Cluster(cores=1, memory="1GB", host=scheduler_host):
+            pass
+
+    message = message_template.format("dashboard_address")
+    with pytest.raises(ValueError, match=message):
+        with Cluster(cores=1, memory="1GB", dashboard_address=":8787"):
+            pass

dask_jobqueue/tests/test_slurm.py

@@ -193,3 +193,22 @@ def test_config_name_slurm_takes_custom_config():
     with dask.config.set({"jobqueue.slurm-config-name": conf}):
         with SLURMCluster(config_name="slurm-config-name") as cluster:
             assert cluster.job_name == "myname"
+
+
+@pytest.mark.env("slurm")
+def test_different_interfaces_on_scheduler_and_workers(loop):
+    with SLURMCluster(
+        walltime="00:02:00",
+        cores=1,
+        memory="2GB",
+        interface="eth0:worker",
+        scheduler_options={"interface": "eth0:scheduler"},
+        loop=loop,
+    ) as cluster:
+        cluster.scale(jobs=1)
+        with Client(cluster) as client:
+            future = client.submit(lambda x: x + 1, 10)
+
+            client.wait_for_workers(1)
+
+            assert future.result(QUEUE_WAIT) == 11

docs/source/changelog.rst

@@ -4,6 +4,11 @@ Changelog
 Development version
 -------------------
 
+- all cluster classes: add ``scheduler_options`` allows to pass parameters to
+  the Dask scheduler. For example ``scheduler_options={'interface': 'eth0',
+  dashboard_addresses=':12435')`` (:pr:`384`). Breaking change: using ``port``
+  or ``dashboard_addresses`` arguments raises an error. They have to be passed
+  through ``scheduler_options``.
 - all cluster classes: ``processes`` parameter default has changed. By default,
   ``processes ~= sqrt(cores)`` so that the number of processes and the number
   of threads per process is roughly the same. Old default was to use one

docs/source/interactive.rst

@@ -129,10 +129,12 @@ dashboard is valuable to help you understand the state of your computation and
 cluster.
 
 Typically, the dashboard is served on a separate port from Jupyter, and so can
-be used whether you choose to use Jupyter or not.  If you want to open up a
+be used whether you choose to use Jupyter or not. If you want to open up a
 connection to see the dashboard you can do so with SSH Tunneling as described
-above.  The dashboard's default port is at ``8787``, and is configurable with
-the ``dashboard_address=`` keyword to the Dask Jobqueue cluster objects.
+above. The dashboard's default port is at ``8787``, and is configurable by
+using the ``scheduler_options`` parameter in the Dask Jobqueue cluster object.
+For example ``scheduler_options={'dashboard_address': ':12435'}`` would use
+12435 for the web dasboard port.
 
 However, Jupyter is also able to proxy the dashboard connection through the
 Jupyter server, allowing you to access the dashboard at