dataDistribution.py 7.8 KB
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import random

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from xtreemfs_client import osd
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class DataDistribution(object):
    """
    class to keep track of the osd (object storage device) locations of different folders, i.e.,
    their physical location.
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    this class also allows to calculate several data distributions, e.g., mappings from folders to OSDs (each folder
    gets mapped to one OSD).
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    """
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    def __init__(self):
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        self.OSDs = {}
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    def add_new_osd(self, osd_uuid):
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        """
        create a new empty osd and add it to the existing OSDs.
        """
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        if osd_uuid in self.OSDs:
            print("key: " + osd_uuid + " is already present!")
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            return
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        new_osd = osd.OSD(osd_uuid)
        self.OSDs[osd_uuid] = new_osd
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    def add_osd(self, new_osd):
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        """
        add the given OSD (object) to the existing OSDs.
        """
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        if new_osd.uuid in self.OSDs:
            print("key: " + new_osd.uuid + " is already present!")
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            return
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        self.OSDs[new_osd.uuid] = new_osd
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    def add_osd_list(self, osd_list):
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        """
        add the given list of OSDs (objects) to the existing OSDs.
        """
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        for osd_uuid in osd_list:
            if osd_uuid not in self.OSDs:
                new_osd = osd.OSD(osd_uuid)
                self.OSDs[osd_uuid] = new_osd
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    def get_osd_list(self):
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        """
        get a list of all existing OSDs.
        """
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        osd_list = []
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        for osd_name in self.OSDs.keys():
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            osd_list.append(osd_name)
        return osd_list

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    def get_containing_osd(self, folder_id):
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        """
        get the OSD containing the given folder_id, or None if the folder is not assigned to any OSD.
        """
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        for checked_osd in self.OSDs.values():
            if checked_osd.contains_folder(folder_id):
                return checked_osd
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        return None

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    def get_average_folder_size(self):
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        """
        get the average folder size of all folders of all OSDs.
        """
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        total_size = 0
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        total_number_of_folders = 0
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        for one_osd in self.OSDs.values():
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            total_size += one_osd.total_folder_size
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            total_number_of_folders += len(one_osd.folders)
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        if total_number_of_folders == 0:
            return 0
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        return total_size / total_number_of_folders

    def assign_new_osd(self, folder_id, new_osd):
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        """
        assign folder_id to new_osd. if folder_id already is assigned to an OSD, this old assignment is deleted.
        """
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        old_osd = self.get_containing_osd(folder_id)
        if old_osd is None:
            self.OSDs[new_osd].add_folder(folder_id, self.get_average_folder_size())
        else:
            self.OSDs[new_osd].add_folder(folder_id, self.OSDs[old_osd.uuid].folders[folder_id])
            self.OSDs[old_osd.uuid].remove_folder(folder_id)
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    def add_folders(self, folders,
                    osd_information=None, ratio_parameter='', capacity='',
                    ignore_osd_capacities=True,
                    random_osd_assignment=False,
                    ignore_folder_sizes=False):
        # TODO update doc
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        """
        adds a list of folders to the data distribution.
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        if not specified otherwise, the assignments are calculated using the LPT algorithm.
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        returns a list of assignments from folders to OSDs, for which (folders) there was previously no assignment.

        if the optional arguments are given, OSDs are assigned data proportionally to their ratio_parameter.
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        the assignment is stable (i.e., folders already assigned to an OSD are not reassigned to another OSD).
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        """
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        new_folders = []
        for folder in folders:
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            containing_osd = self.get_containing_osd(folder.id)
            if containing_osd is not None:
                containing_osd.add_folder(folder.id, folder.size)
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            else:
                new_folders.append(folder)

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        print("dataDistribution: random_osd_assignment: " + str(random_osd_assignment))
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        osds_for_new_folders = []

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        # totally random OSD assignment, even ignoring OSD capacities
        # (might lead to I/O errors when too many groups are assigned to an OSD)
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        if random_osd_assignment and ignore_osd_capacities:
            print("using totally random osd assignment")
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            for folder in new_folders:
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                random_osd = random.choice(list(self.OSDs.values()))
                random_osd.add_folder(folder.id, folder.size)
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                osds_for_new_folders.append((folder.id,
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                                             random_osd.uuid))
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            return osds_for_new_folders
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        # random OSD assignment respecting OSD capacities
        elif random_osd_assignment and not ignore_osd_capacities:
            if osd_information is None or ratio_parameter == '':
                raise ValueError("ignore_osd_capacities=False is not possible if osd_information or capacity is"
                                 "not given!")
            print("using random osd assignment, respecting osd capacities")
            for folder in new_folders:
                suitable_osds = [] # list of OSDs with enough capacity
                for one_osd in self.OSDs.values():
                    if osd_information[one_osd.uuid][capacity] - one_osd.total_folder_size - folder.size >= 0:
                        suitable_osds.append(one_osd)
                suitable_random_osd = random.choice(suitable_osds)
                suitable_random_osd.add_folder(folder.id, folder.size)
                osds_for_new_folders.append((folder.id,
                                             suitable_random_osd.uuid))
            return osds_for_new_folders

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        # balanced deterministic OSD assignment
        # (following largest processing time first or post-greedy approach)
        list.sort(new_folders, key=lambda x: x.size, reverse=True)

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        osd_ratios = {}
        if osd_information is not None and ratio_parameter != '':
            total_osd_size = 0
            for osd_size in osd_information.values():
                total_osd_size += osd_size[ratio_parameter]
            for osd_uuid, osd_size in osd_information.items():
                osd_ratios[osd_uuid] = float(osd_size[ratio_parameter]) / float(total_osd_size)

        else:
            for osd_uuid in self.OSDs.keys():
                osd_ratios[osd_uuid] = float(1)

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        for folder in new_folders:
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            least_used_osd = None
            for one_osd in self.OSDs.values():
                if (least_used_osd is None) or \
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                                one_osd.total_folder_size / osd_ratios[one_osd.uuid] \
                                <= least_used_osd.total_folder_size / osd_ratios[least_used_osd.uuid]:
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                    least_used_osd = one_osd
            least_used_osd.add_folder(folder.id, folder.size)
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            osds_for_new_folders.append((folder.id,
                                         least_used_osd.uuid))
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        return osds_for_new_folders

    def update_folder(self, folder, size):
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        """
        updates the size of a given folder
        """
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        for one_osd in self.OSDs.values():
            if folder in one_osd.folders.keys():
                one_osd.update_folder(folder, size)
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    def description(self):
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        """
        generates a string describing this data distribution
        """
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        string = ""
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        for one_osd in self.OSDs.values():
            string += str(one_osd)
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            string += "\n"
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            string += "folders : " + str(one_osd.folders)
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            string += "\n"
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        string += "average folder size: " + str(self.get_average_folder_size())
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        return string

    def __str__(self):
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        string_representation = "DataDistribution has " + str(len(self.OSDs)) \
                                + " osds: \n"
        for key, value in self.OSDs.items():
            string_representation += str(value) + " \n"
        return string_representation