Merge branch '7478-s-preemptable-preemptible'

[arvados.git] / services / nodemanager / arvnodeman / jobqueue.py

diff --git a/services/nodemanager/arvnodeman/jobqueue.py b/services/nodemanager/arvnodeman/jobqueue.py
index 4d2d3e0c0ace3e6ff9db5832d3f8a9dcc4b7ad9a..e91764474fbd10edb28463368588329125e0a3db 100644 (file)
--- a/services/nodemanager/arvnodeman/jobqueue.py
+++ b/services/nodemanager/arvnodeman/jobqueue.py
@@ -6,6 +6,7 @@
 from __future__ import absolute_import, print_function
 
 import logging
 from __future__ import absolute_import, print_function
 
 import logging

+import re

 import subprocess
 
 import arvados.util
 import subprocess
 
 import arvados.util


@@ -23,6 +24,26 @@ class ServerCalculator(object):
     that would best satisfy the jobs, choosing the cheapest size that
     satisfies each job, and ignoring jobs that can't be satisfied.
     """
     that would best satisfy the jobs, choosing the cheapest size that
     satisfies each job, and ignoring jobs that can't be satisfied.
     """

+    class InvalidCloudSize(object):
+        """
+        Dummy CloudSizeWrapper-like class, to be used when a cloud node doesn't
+        have a recognizable arvados_node_size tag.
+        """
+        def __init__(self):
+            self.id = 'invalid'
+            self.name = 'invalid'
+            self.ram = 0
+            self.disk = 0
+            self.scratch = 0
+            self.cores = 0
+            self.bandwidth = 0
+            self.price = 9999999
+            self.preemptible = False
+            self.extra = {}
+
+        def meets_constraints(self, **kwargs):
+            return False
+

 
     class CloudSizeWrapper(object):
         def __init__(self, real_size, node_mem_scaling, **kwargs):
 
     class CloudSizeWrapper(object):
         def __init__(self, real_size, node_mem_scaling, **kwargs):


@@ -37,7 +58,9 @@ class ServerCalculator(object):
                 self.disk = 0
             self.scratch = self.disk * 1000
             self.ram = int(self.ram * node_mem_scaling)
                 self.disk = 0
             self.scratch = self.disk * 1000
             self.ram = int(self.ram * node_mem_scaling)

+            self.preemptible = False

             for name, override in kwargs.iteritems():
             for name, override in kwargs.iteritems():

+                if name == 'instance_type': continue

                 if not hasattr(self, name):
                     raise ValueError("unrecognized size field '%s'" % (name,))
                 setattr(self, name, override)
                 if not hasattr(self, name):
                     raise ValueError("unrecognized size field '%s'" % (name,))
                 setattr(self, name, override)


@@ -74,13 +97,17 @@ class ServerCalculator(object):
             return fallback
 
     def cloud_size_for_constraints(self, constraints):
             return fallback
 
     def cloud_size_for_constraints(self, constraints):

+        specified_size = constraints.get('instance_type')

         want_value = lambda key: self.coerce_int(constraints.get(key), 0)
         wants = {'cores': want_value('min_cores_per_node'),
                  'ram': want_value('min_ram_mb_per_node'),
                  'scratch': want_value('min_scratch_mb_per_node')}
         want_value = lambda key: self.coerce_int(constraints.get(key), 0)
         wants = {'cores': want_value('min_cores_per_node'),
                  'ram': want_value('min_ram_mb_per_node'),
                  'scratch': want_value('min_scratch_mb_per_node')}

+        # EC2 node sizes are identified by id. GCE sizes are identified by name.

         for size in self.cloud_sizes:
         for size in self.cloud_sizes:

-            if size.meets_constraints(**wants):
-                return size
+            if (size.meets_constraints(**wants) and
+                (specified_size is None or
+                    size.id == specified_size or size.name == specified_size)):
+                        return size

         return None
 
     def servers_for_queue(self, queue):
         return None
 
     def servers_for_queue(self, queue):


@@ -92,14 +119,13 @@ class ServerCalculator(object):
             cloud_size = self.cloud_size_for_constraints(constraints)
             if cloud_size is None:
                 unsatisfiable_jobs[job['uuid']] = (
             cloud_size = self.cloud_size_for_constraints(constraints)
             if cloud_size is None:
                 unsatisfiable_jobs[job['uuid']] = (

-                    'Requirements for a single node exceed the available '
-                    'cloud node size')
+                    "Constraints cannot be satisfied by any node type")

             elif (want_count > self.max_nodes):
                 unsatisfiable_jobs[job['uuid']] = (
                     "Job's min_nodes constraint is greater than the configured "
                     "max_nodes (%d)" % self.max_nodes)
             elif (want_count*cloud_size.price <= self.max_price):
             elif (want_count > self.max_nodes):
                 unsatisfiable_jobs[job['uuid']] = (
                     "Job's min_nodes constraint is greater than the configured "
                     "max_nodes (%d)" % self.max_nodes)
             elif (want_count*cloud_size.price <= self.max_price):

-                servers.extend([cloud_size.real] * want_count)
+                servers.extend([cloud_size] * want_count)

             else:
                 unsatisfiable_jobs[job['uuid']] = (
                     "Job's price (%d) is above system's max_price "
             else:
                 unsatisfiable_jobs[job['uuid']] = (
                     "Job's price (%d) is above system's max_price "


@@ -113,7 +139,7 @@ class ServerCalculator(object):
         for s in self.cloud_sizes:
             if s.id == sizeid:
                 return s
         for s in self.cloud_sizes:
             if s.id == sizeid:
                 return s

-        return None
+        return self.InvalidCloudSize()

 
 
 class JobQueueMonitorActor(clientactor.RemotePollLoopActor):
 
 
 class JobQueueMonitorActor(clientactor.RemotePollLoopActor):


@@ -151,22 +177,47 @@ class JobQueueMonitorActor(clientactor.RemotePollLoopActor):
     def _send_request(self):
         queuelist = []
         if self.slurm_queue:
     def _send_request(self):
         queuelist = []
         if self.slurm_queue:

-            # cpus, memory, tempory disk space, reason, job name
-            squeue_out = subprocess.check_output(["squeue", "--state=PENDING", "--noheader", "--format=%c|%m|%d|%r|%j"])
+            # cpus, memory, tempory disk space, reason, job name, feature constraints, priority
+            squeue_out = subprocess.check_output(["squeue", "--state=PENDING", "--noheader", "--format=%c|%m|%d|%r|%j|%f|%Q"])

             for out in squeue_out.splitlines():
                 try:
             for out in squeue_out.splitlines():
                 try:

-                    cpu, ram, disk, reason, jobname = out.split("|", 4)
-                    if ("ReqNodeNotAvail" in reason) or ("Resources" in reason) or ("Priority" in reason):
-                        queuelist.append({
-                            "uuid": jobname,
-                            "runtime_constraints": {
-                                "min_cores_per_node": cpu,
-                                "min_ram_mb_per_node": self.coerce_to_mb(ram),
-                                "min_scratch_mb_per_node": self.coerce_to_mb(disk)
-                            }
-                        })
+                    cpu, ram, disk, reason, jobname, features, priority = out.split("|", 6)

                 except ValueError:
                 except ValueError:

-                    pass
+                    self._logger.warning("ignored malformed line in squeue output: %r", out)
+                    continue
+                if '-dz642-' not in jobname:
+                    continue
+                if not re.search(r'BadConstraints|ReqNodeNotAvail|Resources|Priority', reason):
+                    continue
+
+                for feature in features.split(','):
+                    m = re.match(r'instancetype=(.*)', feature)
+                    if not m:
+                        continue
+                    instance_type = m.group(1)
+                    # Ignore cpu/ram/scratch requirements, bring up
+                    # the requested node type.
+                    queuelist.append({
+                        "uuid": jobname,
+                        "runtime_constraints": {
+                            "instance_type": instance_type,
+                        },
+                        "priority": int(priority)
+                    })
+                    break
+                else:
+                    # No instance type specified. Choose a node type
+                    # to suit cpu/ram/scratch requirements.
+                    queuelist.append({
+                        "uuid": jobname,
+                        "runtime_constraints": {
+                            "min_cores_per_node": cpu,
+                            "min_ram_mb_per_node": self.coerce_to_mb(ram),
+                            "min_scratch_mb_per_node": self.coerce_to_mb(disk)
+                        },
+                        "priority": int(priority)
+                    })
+            queuelist.sort(key=lambda x: x.get('priority', 1), reverse=True)

 
         if self.jobs_queue:
             queuelist.extend(self._client.jobs().queue().execute()['items'])
 
         if self.jobs_queue:
             queuelist.extend(self._client.jobs().queue().execute()['items'])


@@ -197,5 +248,5 @@ class JobQueueMonitorActor(clientactor.RemotePollLoopActor):
                                    job_uuid,
                                    error)
         self._logger.debug("Calculated wishlist: %s",
                                    job_uuid,
                                    error)
         self._logger.debug("Calculated wishlist: %s",

-                           ', '.join(s.name for s in server_list) or "(empty)")
+                           ', '.join(s.id for s in server_list) or "(empty)")

         return super(JobQueueMonitorActor, self)._got_response(server_list)
         return super(JobQueueMonitorActor, self)._got_response(server_list)