"""Module implementing the job queue handling.
-Locking:
-There's a single, large lock in the JobQueue class. It's used by all other
-classes in this module.
+Locking: there's a single, large lock in the L{JobQueue} class. It's
+used by all other classes in this module.
+
+@var JOBQUEUE_THREADS: the number of worker threads we start for
+ processing jobs
"""
from ganeti import rpc
-JOBQUEUE_THREADS = 5
+JOBQUEUE_THREADS = 25
+JOBS_PER_ARCHIVE_DIRECTORY = 10000
+
+
+class CancelJob(Exception):
+ """Special exception to cancel a job.
+
+ """
def TimeStampNow():
+ """Returns the current timestamp.
+
+ @rtype: tuple
+ @return: the current time in the (seconds, microseconds) format
+
+ """
return utils.SplitTime(time.time())
class _QueuedOpCode(object):
- """Encasulates an opcode object.
+ """Encapsulates an opcode object.
- The 'log' attribute holds the execution log and consists of tuples
- of the form (log_serial, timestamp, level, message).
+ @ivar log: holds the execution log and consists of tuples
+ of the form C{(log_serial, timestamp, level, message)}
+ @ivar input: the OpCode we encapsulate
+ @ivar status: the current status
+ @ivar result: the result of the LU execution
+ @ivar start_timestamp: timestamp for the start of the execution
+ @ivar stop_timestamp: timestamp for the end of the execution
"""
+ __slots__ = ["input", "status", "result", "log",
+ "start_timestamp", "end_timestamp",
+ "__weakref__"]
+
def __init__(self, op):
+ """Constructor for the _QuededOpCode.
+
+ @type op: L{opcodes.OpCode}
+ @param op: the opcode we encapsulate
+
+ """
self.input = op
self.status = constants.OP_STATUS_QUEUED
self.result = None
@classmethod
def Restore(cls, state):
+ """Restore the _QueuedOpCode from the serialized form.
+
+ @type state: dict
+ @param state: the serialized state
+ @rtype: _QueuedOpCode
+ @return: a new _QueuedOpCode instance
+
+ """
obj = _QueuedOpCode.__new__(cls)
obj.input = opcodes.OpCode.LoadOpCode(state["input"])
obj.status = state["status"]
return obj
def Serialize(self):
+ """Serializes this _QueuedOpCode.
+
+ @rtype: dict
+ @return: the dictionary holding the serialized state
+
+ """
return {
"input": self.input.__getstate__(),
"status": self.status,
class _QueuedJob(object):
"""In-memory job representation.
- This is what we use to track the user-submitted jobs. Locking must be taken
- care of by users of this class.
+ This is what we use to track the user-submitted jobs. Locking must
+ be taken care of by users of this class.
+
+ @type queue: L{JobQueue}
+ @ivar queue: the parent queue
+ @ivar id: the job ID
+ @type ops: list
+ @ivar ops: the list of _QueuedOpCode that constitute the job
+ @type run_op_index: int
+ @ivar run_op_index: the currently executing opcode, or -1 if
+ we didn't yet start executing
+ @type log_serial: int
+ @ivar log_serial: holds the index for the next log entry
+ @ivar received_timestamp: the timestamp for when the job was received
+ @ivar start_timestmap: the timestamp for start of execution
+ @ivar end_timestamp: the timestamp for end of execution
+ @ivar change: a Condition variable we use for waiting for job changes
"""
+ __slots__ = ["queue", "id", "ops", "run_op_index", "log_serial",
+ "received_timestamp", "start_timestamp", "end_timestamp",
+ "change",
+ "__weakref__"]
+
def __init__(self, queue, job_id, ops):
+ """Constructor for the _QueuedJob.
+
+ @type queue: L{JobQueue}
+ @param queue: our parent queue
+ @type job_id: job_id
+ @param job_id: our job id
+ @type ops: list
+ @param ops: the list of opcodes we hold, which will be encapsulated
+ in _QueuedOpCodes
+
+ """
if not ops:
- # TODO
+ # TODO: use a better exception
raise Exception("No opcodes")
self.queue = queue
self.ops = [_QueuedOpCode(op) for op in ops]
self.run_op_index = -1
self.log_serial = 0
+ self.received_timestamp = TimeStampNow()
+ self.start_timestamp = None
+ self.end_timestamp = None
# Condition to wait for changes
self.change = threading.Condition(self.queue._lock)
@classmethod
def Restore(cls, queue, state):
+ """Restore a _QueuedJob from serialized state:
+
+ @type queue: L{JobQueue}
+ @param queue: to which queue the restored job belongs
+ @type state: dict
+ @param state: the serialized state
+ @rtype: _JobQueue
+ @return: the restored _JobQueue instance
+
+ """
obj = _QueuedJob.__new__(cls)
obj.queue = queue
obj.id = state["id"]
obj.run_op_index = state["run_op_index"]
+ obj.received_timestamp = state.get("received_timestamp", None)
+ obj.start_timestamp = state.get("start_timestamp", None)
+ obj.end_timestamp = state.get("end_timestamp", None)
obj.ops = []
obj.log_serial = 0
return obj
def Serialize(self):
+ """Serialize the _JobQueue instance.
+
+ @rtype: dict
+ @return: the serialized state
+
+ """
return {
"id": self.id,
"ops": [op.Serialize() for op in self.ops],
"run_op_index": self.run_op_index,
+ "start_timestamp": self.start_timestamp,
+ "end_timestamp": self.end_timestamp,
+ "received_timestamp": self.received_timestamp,
}
def CalcStatus(self):
+ """Compute the status of this job.
+
+ This function iterates over all the _QueuedOpCodes in the job and
+ based on their status, computes the job status.
+
+ The algorithm is:
+ - if we find a cancelled, or finished with error, the job
+ status will be the same
+ - otherwise, the last opcode with the status one of:
+ - waitlock
+ - canceling
+ - running
+
+ will determine the job status
+
+ - otherwise, it means either all opcodes are queued, or success,
+ and the job status will be the same
+
+ @return: the job status
+
+ """
status = constants.JOB_STATUS_QUEUED
all_success = True
if op.status == constants.OP_STATUS_QUEUED:
pass
+ elif op.status == constants.OP_STATUS_WAITLOCK:
+ status = constants.JOB_STATUS_WAITLOCK
elif op.status == constants.OP_STATUS_RUNNING:
status = constants.JOB_STATUS_RUNNING
+ elif op.status == constants.OP_STATUS_CANCELING:
+ status = constants.JOB_STATUS_CANCELING
+ break
elif op.status == constants.OP_STATUS_ERROR:
status = constants.JOB_STATUS_ERROR
# The whole job fails if one opcode failed
return status
def GetLogEntries(self, newer_than):
+ """Selectively returns the log entries.
+
+ @type newer_than: None or int
+ @param newer_than: if this is None, return all log entries,
+ otherwise return only the log entries with serial higher
+ than this value
+ @rtype: list
+ @return: the list of the log entries selected
+
+ """
if newer_than is None:
serial = -1
else:
entries = []
for op in self.ops:
- entries.extend(filter(lambda entry: entry[0] > newer_than, op.log))
+ entries.extend(filter(lambda entry: entry[0] > serial, op.log))
return entries
class _JobQueueWorker(workerpool.BaseWorker):
+ """The actual job workers.
+
+ """
+ def _NotifyStart(self):
+ """Mark the opcode as running, not lock-waiting.
+
+ This is called from the mcpu code as a notifier function, when the
+ LU is finally about to start the Exec() method. Of course, to have
+ end-user visible results, the opcode must be initially (before
+ calling into Processor.ExecOpCode) set to OP_STATUS_WAITLOCK.
+
+ """
+ assert self.queue, "Queue attribute is missing"
+ assert self.opcode, "Opcode attribute is missing"
+
+ self.queue.acquire()
+ try:
+ assert self.opcode.status in (constants.OP_STATUS_WAITLOCK,
+ constants.OP_STATUS_CANCELING)
+
+ # Cancel here if we were asked to
+ if self.opcode.status == constants.OP_STATUS_CANCELING:
+ raise CancelJob()
+
+ self.opcode.status = constants.OP_STATUS_RUNNING
+ finally:
+ self.queue.release()
+
def RunTask(self, job):
"""Job executor.
This functions processes a job. It is closely tied to the _QueuedJob and
_QueuedOpCode classes.
+ @type job: L{_QueuedJob}
+ @param job: the job to be processed
+
"""
- logging.debug("Worker %s processing job %s",
+ logging.info("Worker %s processing job %s",
self.worker_id, job.id)
proc = mcpu.Processor(self.pool.queue.context)
- queue = job.queue
+ self.queue = queue = job.queue
try:
try:
count = len(job.ops)
for idx, op in enumerate(job.ops):
+ op_summary = op.input.Summary()
+ if op.status == constants.OP_STATUS_SUCCESS:
+ # this is a job that was partially completed before master
+ # daemon shutdown, so it can be expected that some opcodes
+ # are already completed successfully (if any did error
+ # out, then the whole job should have been aborted and not
+ # resubmitted for processing)
+ logging.info("Op %s/%s: opcode %s already processed, skipping",
+ idx + 1, count, op_summary)
+ continue
try:
- logging.debug("Op %s/%s: Starting %s", idx + 1, count, op)
+ logging.info("Op %s/%s: Starting opcode %s", idx + 1, count,
+ op_summary)
queue.acquire()
try:
+ if op.status == constants.OP_STATUS_CANCELED:
+ raise CancelJob()
+ assert op.status == constants.OP_STATUS_QUEUED
job.run_op_index = idx
- op.status = constants.OP_STATUS_RUNNING
+ op.status = constants.OP_STATUS_WAITLOCK
op.result = None
op.start_timestamp = TimeStampNow()
+ if idx == 0: # first opcode
+ job.start_timestamp = op.start_timestamp
queue.UpdateJobUnlocked(job)
input_opcode = op.input
queue.release()
# Make sure not to hold lock while _Log is called
- result = proc.ExecOpCode(input_opcode, _Log)
+ self.opcode = op
+ result = proc.ExecOpCode(input_opcode, _Log, self._NotifyStart)
queue.acquire()
try:
finally:
queue.release()
- logging.debug("Op %s/%s: Successfully finished %s",
- idx + 1, count, op)
+ logging.info("Op %s/%s: Successfully finished opcode %s",
+ idx + 1, count, op_summary)
+ except CancelJob:
+ # Will be handled further up
+ raise
except Exception, err:
queue.acquire()
try:
op.status = constants.OP_STATUS_ERROR
op.result = str(err)
op.end_timestamp = TimeStampNow()
- logging.debug("Op %s/%s: Error in %s", idx + 1, count, op)
+ logging.info("Op %s/%s: Error in opcode %s: %s",
+ idx + 1, count, op_summary, err)
finally:
queue.UpdateJobUnlocked(job)
finally:
queue.release()
raise
+ except CancelJob:
+ queue.acquire()
+ try:
+ queue.CancelJobUnlocked(job)
+ finally:
+ queue.release()
except errors.GenericError, err:
logging.exception("Ganeti exception")
except:
queue.acquire()
try:
try:
- job.run_op_idx = -1
+ job.run_op_index = -1
+ job.end_timestamp = TimeStampNow()
queue.UpdateJobUnlocked(job)
finally:
job_id = job.id
status = job.CalcStatus()
finally:
queue.release()
- logging.debug("Worker %s finished job %s, status = %s",
- self.worker_id, job_id, status)
+ logging.info("Worker %s finished job %s, status = %s",
+ self.worker_id, job_id, status)
class _JobQueueWorkerPool(workerpool.WorkerPool):
+ """Simple class implementing a job-processing workerpool.
+
+ """
def __init__(self, queue):
super(_JobQueueWorkerPool, self).__init__(JOBQUEUE_THREADS,
_JobQueueWorker)
class JobQueue(object):
+ """Queue used to manage the jobs.
+
+ @cvar _RE_JOB_FILE: regex matching the valid job file names
+
+ """
_RE_JOB_FILE = re.compile(r"^job-(%s)$" % constants.JOB_ID_TEMPLATE)
def _RequireOpenQueue(fn):
"""Decorator for "public" functions.
- This function should be used for all "public" functions. That is, functions
- usually called from other classes.
+ This function should be used for all 'public' functions. That is,
+ functions usually called from other classes.
- Important: Use this decorator only after utils.LockedMethod!
+ @warning: Use this decorator only after utils.LockedMethod!
- Example:
+ Example::
@utils.LockedMethod
@_RequireOpenQueue
def Example(self):
return wrapper
def __init__(self, context):
+ """Constructor for JobQueue.
+
+ The constructor will initialize the job queue object and then
+ start loading the current jobs from disk, either for starting them
+ (if they were queue) or for aborting them (if they were already
+ running).
+
+ @type context: GanetiContext
+ @param context: the context object for access to the configuration
+ data and other ganeti objects
+
+ """
self.context = context
self._memcache = weakref.WeakValueDictionary()
self._my_hostname = utils.HostInfo().name
" check in jstore and here")
# Get initial list of nodes
- self._nodes = set(self.context.cfg.GetNodeList())
+ self._nodes = dict((n.name, n.primary_ip)
+ for n in self.context.cfg.GetAllNodesInfo().values()
+ if n.master_candidate)
# Remove master node
try:
- self._nodes.remove(self._my_hostname)
- except ValueError:
+ del self._nodes[self._my_hostname]
+ except KeyError:
pass
# TODO: Check consistency across nodes
# Setup worker pool
self._wpool = _JobQueueWorkerPool(self)
-
- # We need to lock here because WorkerPool.AddTask() may start a job while
- # we're still doing our work.
- self.acquire()
try:
- for job in self._GetJobsUnlocked(None):
- status = job.CalcStatus()
+ # We need to lock here because WorkerPool.AddTask() may start a job while
+ # we're still doing our work.
+ self.acquire()
+ try:
+ logging.info("Inspecting job queue")
- if status in (constants.JOB_STATUS_QUEUED, ):
- self._wpool.AddTask(job)
+ all_job_ids = self._GetJobIDsUnlocked()
+ jobs_count = len(all_job_ids)
+ lastinfo = time.time()
+ for idx, job_id in enumerate(all_job_ids):
+ # Give an update every 1000 jobs or 10 seconds
+ if (idx % 1000 == 0 or time.time() >= (lastinfo + 10.0) or
+ idx == (jobs_count - 1)):
+ logging.info("Job queue inspection: %d/%d (%0.1f %%)",
+ idx, jobs_count - 1, 100.0 * (idx + 1) / jobs_count)
+ lastinfo = time.time()
- elif status in (constants.JOB_STATUS_RUNNING, ):
- logging.warning("Unfinished job %s found: %s", job.id, job)
- try:
- for op in job.ops:
- op.status = constants.OP_STATUS_ERROR
- op.result = "Unclean master daemon shutdown"
- finally:
- self.UpdateJobUnlocked(job)
- finally:
- self.release()
+ job = self._LoadJobUnlocked(job_id)
+
+ # a failure in loading the job can cause 'None' to be returned
+ if job is None:
+ continue
+
+ status = job.CalcStatus()
+
+ if status in (constants.JOB_STATUS_QUEUED, ):
+ self._wpool.AddTask(job)
+
+ elif status in (constants.JOB_STATUS_RUNNING,
+ constants.JOB_STATUS_WAITLOCK,
+ constants.JOB_STATUS_CANCELING):
+ logging.warning("Unfinished job %s found: %s", job.id, job)
+ try:
+ for op in job.ops:
+ op.status = constants.OP_STATUS_ERROR
+ op.result = "Unclean master daemon shutdown"
+ finally:
+ self.UpdateJobUnlocked(job)
+
+ logging.info("Job queue inspection finished")
+ finally:
+ self.release()
+ except:
+ self._wpool.TerminateWorkers()
+ raise
@utils.LockedMethod
@_RequireOpenQueue
- def AddNode(self, node_name):
+ def AddNode(self, node):
+ """Register a new node with the queue.
+
+ @type node: L{objects.Node}
+ @param node: the node object to be added
+
+ """
+ node_name = node.name
assert node_name != self._my_hostname
# Clean queue directory on added node
- rpc.call_jobqueue_purge(node_name)
+ rpc.RpcRunner.call_jobqueue_purge(node_name)
+
+ if not node.master_candidate:
+ # remove if existing, ignoring errors
+ self._nodes.pop(node_name, None)
+ # and skip the replication of the job ids
+ return
# Upload the whole queue excluding archived jobs
files = [self._GetJobPath(job_id) for job_id in self._GetJobIDsUnlocked()]
finally:
fd.close()
- result = rpc.call_jobqueue_update([node_name], file_name, content)
+ result = rpc.RpcRunner.call_jobqueue_update([node_name],
+ [node.primary_ip],
+ file_name, content)
if not result[node_name]:
logging.error("Failed to upload %s to %s", file_name, node_name)
- self._nodes.add(node_name)
+ self._nodes[node_name] = node.primary_ip
@utils.LockedMethod
@_RequireOpenQueue
def RemoveNode(self, node_name):
+ """Callback called when removing nodes from the cluster.
+
+ @type node_name: str
+ @param node_name: the name of the node to remove
+
+ """
try:
# The queue is removed by the "leave node" RPC call.
- self._nodes.remove(node_name)
+ del self._nodes[node_name]
except KeyError:
pass
def _CheckRpcResult(self, result, nodes, failmsg):
+ """Verifies the status of an RPC call.
+
+ Since we aim to keep consistency should this node (the current
+ master) fail, we will log errors if our rpc fail, and especially
+ log the case when more than half of the nodes fails.
+
+ @param result: the data as returned from the rpc call
+ @type nodes: list
+ @param nodes: the list of nodes we made the call to
+ @type failmsg: str
+ @param failmsg: the identifier to be used for logging
+
+ """
failed = []
success = []
# TODO: Handle failing nodes
logging.error("More than half of the nodes failed")
+ def _GetNodeIp(self):
+ """Helper for returning the node name/ip list.
+
+ @rtype: (list, list)
+ @return: a tuple of two lists, the first one with the node
+ names and the second one with the node addresses
+
+ """
+ name_list = self._nodes.keys()
+ addr_list = [self._nodes[name] for name in name_list]
+ return name_list, addr_list
+
def _WriteAndReplicateFileUnlocked(self, file_name, data):
"""Writes a file locally and then replicates it to all nodes.
+ This function will replace the contents of a file on the local
+ node and then replicate it to all the other nodes we have.
+
+ @type file_name: str
+ @param file_name: the path of the file to be replicated
+ @type data: str
+ @param data: the new contents of the file
+
"""
utils.WriteFile(file_name, data=data)
- result = rpc.call_jobqueue_update(self._nodes, file_name, data)
+ names, addrs = self._GetNodeIp()
+ result = rpc.RpcRunner.call_jobqueue_update(names, addrs, file_name, data)
self._CheckRpcResult(result, self._nodes,
"Updating %s" % file_name)
- def _RenameFileUnlocked(self, old, new):
- os.rename(old, new)
+ def _RenameFilesUnlocked(self, rename):
+ """Renames a file locally and then replicate the change.
- result = rpc.call_jobqueue_rename(self._nodes, old, new)
- self._CheckRpcResult(result, self._nodes,
- "Moving %s to %s" % (old, new))
+ This function will rename a file in the local queue directory
+ and then replicate this rename to all the other nodes we have.
+
+ @type rename: list of (old, new)
+ @param rename: List containing tuples mapping old to new names
+
+ """
+ # Rename them locally
+ for old, new in rename:
+ utils.RenameFile(old, new, mkdir=True)
+
+ # ... and on all nodes
+ names, addrs = self._GetNodeIp()
+ result = rpc.RpcRunner.call_jobqueue_rename(names, addrs, rename)
+ self._CheckRpcResult(result, self._nodes, "Renaming files (%r)" % rename)
def _FormatJobID(self, job_id):
+ """Convert a job ID to string format.
+
+ Currently this just does C{str(job_id)} after performing some
+ checks, but if we want to change the job id format this will
+ abstract this change.
+
+ @type job_id: int or long
+ @param job_id: the numeric job id
+ @rtype: str
+ @return: the formatted job id
+
+ """
if not isinstance(job_id, (int, long)):
raise errors.ProgrammerError("Job ID '%s' not numeric" % job_id)
if job_id < 0:
return str(job_id)
+ @classmethod
+ def _GetArchiveDirectory(cls, job_id):
+ """Returns the archive directory for a job.
+
+ @type job_id: str
+ @param job_id: Job identifier
+ @rtype: str
+ @return: Directory name
+
+ """
+ return str(int(job_id) / JOBS_PER_ARCHIVE_DIRECTORY)
+
def _NewSerialUnlocked(self):
"""Generates a new job identifier.
Job identifiers are unique during the lifetime of a cluster.
- Returns: A string representing the job identifier.
+ @rtype: str
+ @return: a string representing the job identifier.
"""
# New number
@staticmethod
def _GetJobPath(job_id):
+ """Returns the job file for a given job id.
+
+ @type job_id: str
+ @param job_id: the job identifier
+ @rtype: str
+ @return: the path to the job file
+
+ """
return os.path.join(constants.QUEUE_DIR, "job-%s" % job_id)
- @staticmethod
- def _GetArchivedJobPath(job_id):
- return os.path.join(constants.JOB_QUEUE_ARCHIVE_DIR, "job-%s" % job_id)
+ @classmethod
+ def _GetArchivedJobPath(cls, job_id):
+ """Returns the archived job file for a give job id.
+
+ @type job_id: str
+ @param job_id: the job identifier
+ @rtype: str
+ @return: the path to the archived job file
+
+ """
+ path = "%s/job-%s" % (cls._GetArchiveDirectory(job_id), job_id)
+ return os.path.join(constants.JOB_QUEUE_ARCHIVE_DIR, path)
@classmethod
def _ExtractJobID(cls, name):
+ """Extract the job id from a filename.
+
+ @type name: str
+ @param name: the job filename
+ @rtype: job id or None
+ @return: the job id corresponding to the given filename,
+ or None if the filename does not represent a valid
+ job file
+
+ """
m = cls._RE_JOB_FILE.match(name)
if m:
return m.group(1)
jobs are present on disk (so in the _memcache we don't have any
extra IDs).
+ @rtype: list
+ @return: the list of job IDs
+
"""
jlist = [self._ExtractJobID(name) for name in self._ListJobFiles()]
jlist = utils.NiceSort(jlist)
return jlist
def _ListJobFiles(self):
+ """Returns the list of current job files.
+
+ @rtype: list
+ @return: the list of job file names
+
+ """
return [name for name in utils.ListVisibleFiles(constants.QUEUE_DIR)
if self._RE_JOB_FILE.match(name)]
def _LoadJobUnlocked(self, job_id):
+ """Loads a job from the disk or memory.
+
+ Given a job id, this will return the cached job object if
+ existing, or try to load the job from the disk. If loading from
+ disk, it will also add the job to the cache.
+
+ @param job_id: the job id
+ @rtype: L{_QueuedJob} or None
+ @return: either None or the job object
+
+ """
job = self._memcache.get(job_id, None)
if job:
logging.debug("Found job %s in memcache", job_id)
finally:
fd.close()
- job = _QueuedJob.Restore(self, data)
+ try:
+ job = _QueuedJob.Restore(self, data)
+ except Exception, err:
+ new_path = self._GetArchivedJobPath(job_id)
+ if filepath == new_path:
+ # job already archived (future case)
+ logging.exception("Can't parse job %s", job_id)
+ else:
+ # non-archived case
+ logging.exception("Can't parse job %s, will archive.", job_id)
+ self._RenameFilesUnlocked([(filepath, new_path)])
+ return None
+
self._memcache[job_id] = job
logging.debug("Added job %s to the cache", job_id)
return job
def _GetJobsUnlocked(self, job_ids):
+ """Return a list of jobs based on their IDs.
+
+ @type job_ids: list
+ @param job_ids: either an empty list (meaning all jobs),
+ or a list of job IDs
+ @rtype: list
+ @return: the list of job objects
+
+ """
if not job_ids:
job_ids = self._GetJobIDsUnlocked()
return [self._LoadJobUnlocked(job_id) for job_id in job_ids]
- @utils.LockedMethod
+ @staticmethod
+ def _IsQueueMarkedDrain():
+ """Check if the queue is marked from drain.
+
+ This currently uses the queue drain file, which makes it a
+ per-node flag. In the future this can be moved to the config file.
+
+ @rtype: boolean
+ @return: True of the job queue is marked for draining
+
+ """
+ return os.path.exists(constants.JOB_QUEUE_DRAIN_FILE)
+
+ @staticmethod
+ def SetDrainFlag(drain_flag):
+ """Sets the drain flag for the queue.
+
+ This is similar to the function L{backend.JobQueueSetDrainFlag},
+ and in the future we might merge them.
+
+ @type drain_flag: boolean
+ @param drain_flag: Whether to set or unset the drain flag
+
+ """
+ if drain_flag:
+ utils.WriteFile(constants.JOB_QUEUE_DRAIN_FILE, data="", close=True)
+ else:
+ utils.RemoveFile(constants.JOB_QUEUE_DRAIN_FILE)
+ return True
+
@_RequireOpenQueue
- def SubmitJob(self, ops):
+ def _SubmitJobUnlocked(self, ops):
"""Create and store a new job.
This enters the job into our job queue and also puts it on the new
@type ops: list
@param ops: The list of OpCodes that will become the new job.
+ @rtype: job ID
+ @return: the job ID of the newly created job
+ @raise errors.JobQueueDrainError: if the job is marked for draining
"""
+ if self._IsQueueMarkedDrain():
+ raise errors.JobQueueDrainError("Job queue is drained, refusing job")
+
+ # Check job queue size
+ size = len(self._ListJobFiles())
+ if size >= constants.JOB_QUEUE_SIZE_SOFT_LIMIT:
+ # TODO: Autoarchive jobs. Make sure it's not done on every job
+ # submission, though.
+ #size = ...
+ pass
+
+ if size >= constants.JOB_QUEUE_SIZE_HARD_LIMIT:
+ raise errors.JobQueueFull()
+
# Get job identifier
job_id = self._NewSerialUnlocked()
job = _QueuedJob(self, job_id, ops)
return job.id
+ @utils.LockedMethod
+ @_RequireOpenQueue
+ def SubmitJob(self, ops):
+ """Create and store a new job.
+
+ @see: L{_SubmitJobUnlocked}
+
+ """
+ return self._SubmitJobUnlocked(ops)
+
+ @utils.LockedMethod
+ @_RequireOpenQueue
+ def SubmitManyJobs(self, jobs):
+ """Create and store multiple jobs.
+
+ @see: L{_SubmitJobUnlocked}
+
+ """
+ results = []
+ for ops in jobs:
+ try:
+ data = self._SubmitJobUnlocked(ops)
+ status = True
+ except errors.GenericError, err:
+ data = str(err)
+ status = False
+ results.append((status, data))
+
+ return results
+
+
@_RequireOpenQueue
def UpdateJobUnlocked(self, job):
+ """Update a job's on disk storage.
+
+ After a job has been modified, this function needs to be called in
+ order to write the changes to disk and replicate them to the other
+ nodes.
+
+ @type job: L{_QueuedJob}
+ @param job: the changed job
+
+ """
filename = self._GetJobPath(job.id)
data = serializer.DumpJson(job.Serialize(), indent=False)
logging.debug("Writing job %s to %s", job.id, filename)
@param prev_log_serial: Last job message serial number
@type timeout: float
@param timeout: maximum time to wait
+ @rtype: tuple (job info, log entries)
+ @return: a tuple of the job information as required via
+ the fields parameter, and the log entries as a list
+
+ if the job has not changed and the timeout has expired,
+ we instead return a special value,
+ L{constants.JOB_NOTCHANGED}, which should be interpreted
+ as such by the clients
"""
logging.debug("Waiting for changes in job %s", job_id)
log_entries = serializer.LoadJson(serializer.DumpJson(log_entries))
if status not in (constants.JOB_STATUS_QUEUED,
- constants.JOB_STATUS_RUNNING):
+ constants.JOB_STATUS_RUNNING,
+ constants.JOB_STATUS_WAITLOCK):
# Don't even try to wait if the job is no longer running, there will be
# no changes.
break
def CancelJob(self, job_id):
"""Cancels a job.
+ This will only succeed if the job has not started yet.
+
@type job_id: string
- @param job_id: Job ID of job to be cancelled.
+ @param job_id: job ID of job to be cancelled.
"""
- logging.debug("Cancelling job %s", job_id)
+ logging.info("Cancelling job %s", job_id)
job = self._LoadJobUnlocked(job_id)
if not job:
logging.debug("Job %s not found", job_id)
- return
+ return (False, "Job %s not found" % job_id)
+
+ job_status = job.CalcStatus()
- if job.CalcStatus() not in (constants.JOB_STATUS_QUEUED,):
+ if job_status not in (constants.JOB_STATUS_QUEUED,
+ constants.JOB_STATUS_WAITLOCK):
logging.debug("Job %s is no longer in the queue", job.id)
- return
+ return (False, "Job %s is no longer in the queue" % job.id)
+
+ if job_status == constants.JOB_STATUS_QUEUED:
+ self.CancelJobUnlocked(job)
+ return (True, "Job %s canceled" % job.id)
+
+ elif job_status == constants.JOB_STATUS_WAITLOCK:
+ # The worker will notice the new status and cancel the job
+ try:
+ for op in job.ops:
+ op.status = constants.OP_STATUS_CANCELING
+ finally:
+ self.UpdateJobUnlocked(job)
+ return (True, "Job %s will be canceled" % job.id)
+
+ @_RequireOpenQueue
+ def CancelJobUnlocked(self, job):
+ """Marks a job as canceled.
+ """
try:
for op in job.ops:
- op.status = constants.OP_STATUS_ERROR
- op.result = "Job cancelled by request"
+ op.status = constants.OP_STATUS_CANCELED
+ op.result = "Job canceled by request"
finally:
self.UpdateJobUnlocked(job)
+ @_RequireOpenQueue
+ def _ArchiveJobsUnlocked(self, jobs):
+ """Archives jobs.
+
+ @type jobs: list of L{_QueuedJob}
+ @param jobs: Job objects
+ @rtype: int
+ @return: Number of archived jobs
+
+ """
+ archive_jobs = []
+ rename_files = []
+ for job in jobs:
+ if job.CalcStatus() not in (constants.JOB_STATUS_CANCELED,
+ constants.JOB_STATUS_SUCCESS,
+ constants.JOB_STATUS_ERROR):
+ logging.debug("Job %s is not yet done", job.id)
+ continue
+
+ archive_jobs.append(job)
+
+ old = self._GetJobPath(job.id)
+ new = self._GetArchivedJobPath(job.id)
+ rename_files.append((old, new))
+
+ # TODO: What if 1..n files fail to rename?
+ self._RenameFilesUnlocked(rename_files)
+
+ logging.debug("Successfully archived job(s) %s",
+ ", ".join(job.id for job in archive_jobs))
+
+ return len(archive_jobs)
+
@utils.LockedMethod
@_RequireOpenQueue
def ArchiveJob(self, job_id):
"""Archives a job.
+ This is just a wrapper over L{_ArchiveJobsUnlocked}.
+
@type job_id: string
@param job_id: Job ID of job to be archived.
+ @rtype: bool
+ @return: Whether job was archived
"""
- logging.debug("Archiving job %s", job_id)
+ logging.info("Archiving job %s", job_id)
job = self._LoadJobUnlocked(job_id)
if not job:
logging.debug("Job %s not found", job_id)
- return
+ return False
- if job.CalcStatus() not in (constants.JOB_STATUS_CANCELED,
- constants.JOB_STATUS_SUCCESS,
- constants.JOB_STATUS_ERROR):
- logging.debug("Job %s is not yet done", job.id)
- return
+ return self._ArchiveJobsUnlocked([job]) == 1
+
+ @utils.LockedMethod
+ @_RequireOpenQueue
+ def AutoArchiveJobs(self, age, timeout):
+ """Archives all jobs based on age.
+
+ The method will archive all jobs which are older than the age
+ parameter. For jobs that don't have an end timestamp, the start
+ timestamp will be considered. The special '-1' age will cause
+ archival of all jobs (that are not running or queued).
+
+ @type age: int
+ @param age: the minimum age in seconds
+
+ """
+ logging.info("Archiving jobs with age more than %s seconds", age)
+
+ now = time.time()
+ end_time = now + timeout
+ archived_count = 0
+ last_touched = 0
+
+ all_job_ids = self._GetJobIDsUnlocked(archived=False)
+ pending = []
+ for idx, job_id in enumerate(all_job_ids):
+ last_touched = idx
+
+ # Not optimal because jobs could be pending
+ # TODO: Measure average duration for job archival and take number of
+ # pending jobs into account.
+ if time.time() > end_time:
+ break
+
+ # Returns None if the job failed to load
+ job = self._LoadJobUnlocked(job_id)
+ if job:
+ if job.end_timestamp is None:
+ if job.start_timestamp is None:
+ job_age = job.received_timestamp
+ else:
+ job_age = job.start_timestamp
+ else:
+ job_age = job.end_timestamp
+
+ if age == -1 or now - job_age[0] > age:
+ pending.append(job)
- old = self._GetJobPath(job.id)
- new = self._GetArchivedJobPath(job.id)
+ # Archive 10 jobs at a time
+ if len(pending) >= 10:
+ archived_count += self._ArchiveJobsUnlocked(pending)
+ pending = []
- self._RenameFileUnlocked(old, new)
+ if pending:
+ archived_count += self._ArchiveJobsUnlocked(pending)
- logging.debug("Successfully archived job %s", job.id)
+ return (archived_count, len(all_job_ids) - last_touched - 1)
def _GetJobInfoUnlocked(self, job, fields):
+ """Returns information about a job.
+
+ @type job: L{_QueuedJob}
+ @param job: the job which we query
+ @type fields: list
+ @param fields: names of fields to return
+ @rtype: list
+ @return: list with one element for each field
+ @raise errors.OpExecError: when an invalid field
+ has been passed
+
+ """
row = []
for fname in fields:
if fname == "id":
row.append([op.result for op in job.ops])
elif fname == "opstatus":
row.append([op.status for op in job.ops])
+ elif fname == "oplog":
+ row.append([op.log for op in job.ops])
+ elif fname == "opstart":
+ row.append([op.start_timestamp for op in job.ops])
+ elif fname == "opend":
+ row.append([op.end_timestamp for op in job.ops])
+ elif fname == "received_ts":
+ row.append(job.received_timestamp)
+ elif fname == "start_ts":
+ row.append(job.start_timestamp)
+ elif fname == "end_ts":
+ row.append(job.end_timestamp)
elif fname == "summary":
row.append([op.input.Summary() for op in job.ops])
else:
def QueryJobs(self, job_ids, fields):
"""Returns a list of jobs in queue.
- Args:
- - job_ids: Sequence of job identifiers or None for all
- - fields: Names of fields to return
+ This is a wrapper of L{_GetJobsUnlocked}, which actually does the
+ processing for each job.
+
+ @type job_ids: list
+ @param job_ids: sequence of job identifiers or None for all
+ @type fields: list
+ @param fields: names of fields to return
+ @rtype: list
+ @return: list one element per job, each element being list with
+ the requested fields
"""
jobs = []
def Shutdown(self):
"""Stops the job queue.
+ This shutdowns all the worker threads an closes the queue.
+
"""
self._wpool.TerminateWorkers()
projects / ganeti-local / blobdiff