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Python action.Remote類代碼示例

本文整理匯總了Python中execo.action.Remote的典型用法代碼示例。如果您正苦於以下問題:Python Remote類的具體用法?Python Remote怎麽用?Python Remote使用的例子?那麽, 這裏精選的類代碼示例或許可以為您提供幫助。


在下文中一共展示了Remote類的15個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: bootstrap

    def bootstrap(self, tar_file):

        # 0. Check that required packages are present
        required_packages = "openjdk-7-jre openjdk-7-jdk"
        check_packages = TaktukRemote("dpkg -s " + required_packages,
                                      self.hosts)
        for p in check_packages.processes:
            p.nolog_exit_code = p.nolog_error = True
        check_packages.run()
        if not check_packages.ok:
            logger.info("Packages not installed, trying to install")
            install_packages = TaktukRemote(
                "export DEBIAN_MASTER=noninteractive ; " +
                "apt-get update && apt-get install -y --force-yes " +
                required_packages, self.hosts).run()
            if not install_packages.ok:
                logger.error("Unable to install the packages")

        get_java_home = SshProcess('echo $(readlink -f /usr/bin/javac | '
                                   'sed "s:/bin/javac::")', self.master)
        get_java_home.run()
        self.java_home = get_java_home.stdout.strip()

        logger.info("All required packages are present")

        # 1. Copy hadoop tar file and uncompress
        logger.info("Copy " + tar_file + " to hosts and uncompress")
        rm_dirs = TaktukRemote("rm -rf " + self.base_dir +
                               " " + self.conf_dir,
                               self.hosts)
        put_tar = TaktukPut(self.hosts, [tar_file], "/tmp")
        tar_xf = TaktukRemote(
            "tar xf /tmp/" + os.path.basename(tar_file) + " -C /tmp",
            self.hosts)
        SequentialActions([rm_dirs, put_tar, tar_xf]).run()

        # 2. Move installation to base dir
        logger.info("Create installation directories")
        mv_base_dir = TaktukRemote(
            "mv /tmp/" + os.path.basename(tar_file).replace(".tgz", "") + " " +
            self.base_dir,
            self.hosts)
        mkdirs = TaktukRemote("mkdir -p " + self.conf_dir, self.hosts)
        chmods = TaktukRemote("chmod g+w " + self.base_dir +
                              " && chmod g+w " + self.conf_dir,
                              self.hosts)
        SequentialActions([mv_base_dir, mkdirs, chmods]).run()

        # 3. Specify environment variables
        command = "cat >> " + self.conf_dir + "/spark-env.sh << EOF\n"
        command += "JAVA_HOME=" + self.java_home + "\n"
        command += "SPARK_LOG_DIR=" + self.logs_dir + "\n"
        if self.hc:
            command += "HADOOP_CONF_DIR=" + self.hc.conf_dir + "\n"
        if self.mode == YARN_MODE:
            command += "YARN_CONF_DIR=" + self.hc.conf_dir + "\n"
        command += "EOF\n"
        command += "chmod +x " + self.conf_dir + "/spark-env.sh"
        action = Remote(command, self.hosts)
        action.run()
開發者ID:sarlam,項目名稱:hadoop_g5k,代碼行數:60,代碼來源:spark.py

示例2: _set_common_params

    def _set_common_params(self, params, conf_dir, default_tuning=False):
        """Replace common parameters. Some user-specified values are
        overwritten.

           Args:
             params (str):
               Already defined parameters over all the clusters.
             conf_dir (str):
               The path of the directory with the configuration files.
             default_tuning (bool, optional):
               Whether to use automatic tuning based on some best practices or
               leave the default parameters.
        """

        defs_file = conf_dir + "/spark-defaults.conf"

        # spark-env.sh
        command = "cat >> " + self.conf_dir + "/spark-env.sh << EOF\n"
        command += "SPARK_MASTER_PORT=" + str(self.port) + "\n"
        command += "EOF\n"
        action = Remote(command, self.hosts)
        action.run()

        # Get already set parameters
        global_params = params["global"]
        exec_mem = global_params["exec_mem"]
        exec_cores = global_params["exec_cores"]
        total_execs = global_params["total_execs"]

        # Log parameters
        if self.evs_log_dir:
            write_in_props_file(defs_file,
                                "spark.eventLog.enabled", "true",
                                create_if_absent=True,
                                override=True)

            write_in_props_file(defs_file,
                                "spark.eventLog.dir", self.evs_log_dir,
                                create_if_absent=True,
                                override=True)

        write_in_props_file(defs_file,
                            "spark.logConf", "true",
                            create_if_absent=True,
                            override=False)

        if default_tuning:

            write_in_props_file(defs_file,
                                "spark.executor.memory", "%dm" % exec_mem,
                                create_if_absent=True,
                                override=False)
            write_in_props_file(defs_file,
                                "spark.executor.cores", exec_cores,
                                create_if_absent=True,
                                override=False)
            write_in_props_file(defs_file,
                                "spark.executor.instances", total_execs,
                                create_if_absent=True,
                                override=False)
開發者ID:djamelinfo,項目名稱:hadoop_g5k,代碼行數:60,代碼來源:spark.py

示例3: _start_disk_copy

    def _start_disk_copy(self, disks=None, backing_file_dir='/tmp'):
        """ """
        disks_copy = []
        if not disks:
            disks = self.backing_files
        for bf in disks:
            logger.info('Treating ' + style.emph(bf))
            logger.debug("Checking frontend disk vs host disk")
            raw_disk = '%s/orig_' % backing_file_dir + bf.split('/')[-1]
            f_disk = Process('md5sum -b ' + bf).run()
            disk_hash = f_disk.stdout.split(' ')[0]
            cmd = 'if [ -f ' + raw_disk + ' ]; ' + \
                'then md5sum  -b ' + raw_disk + '; fi'
            h_disk = self.fact.get_remote(cmd, self.hosts).run()
            disk_ok = True
            for p in h_disk.processes:

                if p.stdout.split(' ')[0] != disk_hash:
                    disk_ok = False
                    break
            if disk_ok:
                logger.info("Disk " + style.emph(bf) +
                            " is already present, skipping copy")
            else:
                disks_copy.append(self.fact.get_fileput(self.hosts, [bf],
                                                        remote_location="%s" % backing_file_dir))
        if len(disks_copy) > 0:
            self.copy_actions = ParallelActions(disks_copy).start()
        else:
            self.copy_actions = Remote('ls', self.hosts[0]).run()
開發者ID:badock,項目名稱:vm5k,代碼行數:30,代碼來源:deployment.py

示例4: clean_logs

    def clean_logs(self):
        """Remove all Hadoop logs."""

        logger.info("Cleaning logs")

        restart = False
        if self.running:
            logger.warn("The cluster needs to be stopped before cleaning.")
            self.stop()
            restart = True

        action = Remote("rm -rf " + self.logs_dir + "/*", self.hosts)
        action.run()

        if restart:
            self.start()
開發者ID:lmolina,項目名稱:hadoop_g5k,代碼行數:16,代碼來源:cluster.py

示例5: clean_history

    def clean_history(self):
        """Remove history."""

        logger.info("Cleaning history")

        restart = False
        if self.running:
            logger.warn("The cluster needs to be stopped before cleaning.")
            self.stop()
            restart = True

        action = Remote("rm -rf " + self.logs_dir + "/history",
                        [self.master])
        action.run()

        if restart:
            self.start()
開發者ID:lmolina,項目名稱:hadoop_g5k,代碼行數:17,代碼來源:cluster.py

示例6: _configure_servers

    def _configure_servers(self, hosts=None):
        """Configure servers and host-dependant parameters.

           Args:
             hosts (list of Host, optional):
               The list of hosts to take into account in the configuration. If
               not specified, all the hosts of the Spark cluster are used. The
               first host of this list is always used as the reference.
        """

        if not hosts:
            hosts = self.hosts

        host_attrs = get_host_attributes(hosts[0])
        num_cores = host_attrs[u'architecture'][u'smt_size']
        total_memory_mb = (int(host_attrs[u'main_memory'][u'ram_size']) /
                           (1024 * 1024))
        memory_per_worker = int(0.75 * total_memory_mb)
        memory_per_task = int(memory_per_worker / num_cores)

        # Set memory for each worker
        command = "cat >> " + self.conf_dir + "/spark-env.sh << EOF\n"
        command += "SPARK_MASTER_PORT=" + str(self.port) + "\n"
        command += "SPARK_WORKER_MEMORY=" + str(memory_per_worker) + "m\n"
        command += "EOF\n"
        action = Remote(command, self.hosts)
        action.run()

        # Default parameters
        driver_mem = "1g"
        executor_mem = str(memory_per_task) + "m"

        with open(self.temp_conf_dir + "/spark-defaults.conf", "a") \
                as defaults_file:
            defaults_file.write("spark.executor.memory\t" + executor_mem + "\n")
            defaults_file.write("spark.driver.memory\t" + driver_mem + "\n")
            # defaults_file.write("spark.driver.maxResultSize\t1g\n")
            defaults_file.write("spark.logConf\ttrue\n")
            # defaults_file.write("spark.python.worker.memory\t512m")
            if self.evs_log_dir:
                defaults_file.write("spark.eventLog.enabled\ttrue\n")
                defaults_file.write("spark.eventLog.dir\t" +
                                    self.evs_log_dir + "\n")
開發者ID:lmolina,項目名稱:hadoop_g5k,代碼行數:43,代碼來源:spark.py

示例7: clean_data

    def clean_data(self):
        """Remove all data created by Hadoop (including filesystem)."""

        if self.running:
            logger.warn("The cluster needs to be stopped before cleaning.")
            self.stop()

        logger.info("Cleaning MongoDB data")

        restart = False
        if self.running:
            self.stop()
            restart = True

        action = Remote("rm -rf " + self.data_dir + "/*", self.hosts)
        action.run()

        if restart:
            self.start()
開發者ID:mliroz,項目名稱:bigdata_dpy,代碼行數:19,代碼來源:mongodb.py

示例8: clean_data

    def clean_data(self):
        """Remove all data created by Hadoop (including filesystem)."""

        if self.running:
            logger.warn("The cluster needs to be stopped before cleaning.")
            self.stop()

        logger.info("Cleaning hadoop data")

        restart = False
        if self.running:
            self.stop()
            restart = True

        action = Remote("rm -rf " + self.hadoop_temp_dir + " /tmp/hadoop-" +
                        getpass.getuser() + "-*", self.hosts)
        action.run()

        if restart:
            self.start()
開發者ID:lmolina,項目名稱:hadoop_g5k,代碼行數:20,代碼來源:cluster.py

示例9: bootstrap

    def bootstrap(self, tar_file):
        """Install MongoDB in all cluster nodes from the specified tgz file.

        Args:
          tar_file (str):
            The file containing MongoDB binaries.
        """

        # 1. Copy mongo tar file and uncompress
        logger.info("Copy " + tar_file + " to hosts and uncompress")
        rm_files = TaktukRemote("rm -rf " + self.base_dir +
                                " " + self.conf_dir +
                                " " + self.data_dir +
                                " " + self.logs_dir,
                                self.hosts)

        put_tar = TaktukPut(self.hosts, [tar_file], "/tmp")
        tar_xf = TaktukRemote("tar xf /tmp/" + os.path.basename(tar_file) +
                              " -C /tmp", self.hosts)
        SequentialActions([rm_files, put_tar, tar_xf]).run()

        # 2. Move installation to base dir
        logger.info("Create installation directories")
        action = Remote(
            "mv /tmp/" +
            os.path.basename(tar_file).replace(".tgz", "") + " " +
            self.base_dir,
            self.hosts)
        action.run()

        # 3 Create other dirs
        mkdirs = TaktukRemote("mkdir -p " + self.data_dir +
                              " && mkdir -p " + self.conf_dir +
                              " && mkdir -p " + self.logs_dir +
                              " && touch " + os.path.join(self.conf_dir,
                                                          CONF_FILE),
                              self.hosts)
        mkdirs.run()

        # 4. Generate initial configuration
        self._initialize_conf()
開發者ID:mliroz,項目名稱:bigdata_dpy,代碼行數:41,代碼來源:mongodb.py

示例10: _initialize_conf

    def _initialize_conf(self):
        """Merge locally-specified configuration files with default files
        from the distribution."""

        action = Remote("cp " + os.path.join(self.conf_dir,
                                             SPARK_CONF_FILE + ".template ") +
                        os.path.join(self.conf_dir, SPARK_CONF_FILE),
                        self.hosts)
        action.run()

        if os.path.exists(self.local_base_conf_dir):
            base_conf_files = [os.path.join(self.local_base_conf_dir, f)
                               for f in os.listdir(self.local_base_conf_dir)]
            for f in base_conf_files:
                shutil.copy(f, self.init_conf_dir)
        else:
            logger.warn(
                "Local conf dir does not exist. Using default configuration")
            base_conf_files = []

        missing_conf_files = self.conf_mandatory_files
        for f in base_conf_files:
            f_base_name = os.path.basename(f)
            if f_base_name in missing_conf_files:
                missing_conf_files.remove(f_base_name)

        logger.info("Copying missing conf files from master: " + str(
            missing_conf_files))

        remote_missing_files = [os.path.join(self.conf_dir, f)
                                for f in missing_conf_files]

        action = Get([self.master], remote_missing_files, self.init_conf_dir)
        action.run()
開發者ID:djamelinfo,項目名稱:hadoop_g5k,代碼行數:34,代碼來源:spark.py

示例11: get_conf

    def get_conf(self, param_names):

        params = {}
        remaining_param_names = param_names[:]

        # Copy conf files from first host in the cluster
        action = Remote("ls " + self.conf_dir + "/*.xml", [self.hosts[0]])
        action.run()
        output = action.processes[0].stdout

        remote_conf_files = []
        for f in output.split():
            remote_conf_files.append(os.path.join(self.conf_dir, f))

        tmp_dir = "/tmp/mliroz_temp_hadoop/"
        if not os.path.exists(tmp_dir):
            os.makedirs(tmp_dir)

        action = Get([self.hosts[0]], remote_conf_files, tmp_dir)
        action.run()

        # Do replacements in temp file
        temp_conf_files = [os.path.join(tmp_dir, f) for f in
                           os.listdir(tmp_dir)]

        for f in temp_conf_files:
            fparams = get_xml_params(f, remaining_param_names)
            for p in fparams:
                if fparams[p]:
                    params[p] = fparams[p]
                    remaining_param_names.remove(p)

        return params
開發者ID:lmolina,項目名稱:hadoop_g5k,代碼行數:33,代碼來源:cluster.py

示例12: change_conf

    def change_conf(self, params, conf_file=None, default_file=MR_CONF_FILE):
        """Modify Hadoop configuration. This method copies the configuration
        files from the first host of each g5k cluster conf dir into a local
        temporary dir, do all the changes in place and broadcast the new
        configuration files to all hosts.
        
        Args:
          params (dict of str:str):
            The parameters to be changed in the form key:value.
          conf_file (str, optional):
            The file where parameters should be set. If not specified, all
            files are checked for the parameter name and the parameter is set
            in the file where the property is found. If not found, the
            parameter is set in the default file.
          default_file (str, optional): The default conf file where to set the
            parameter if not found. Only applies when conf_file is not set.
        """

        for cluster in self.hw.get_clusters():
            hosts = cluster.get_hosts()

            # Copy conf files from first host in the cluster
            action = Remote("ls " + self.conf_dir + "/*.xml", [hosts[0]])
            action.run()
            output = action.processes[0].stdout

            remote_conf_files = []
            for f in output.split():
                remote_conf_files.append(os.path.join(self.conf_dir, f))

            tmp_dir = "/tmp/mliroz_temp_hadoop/"
            if not os.path.exists(tmp_dir):
                os.makedirs(tmp_dir)

            action = Get([hosts[0]], remote_conf_files, tmp_dir)
            action.run()

            # Do replacements in temp file
            if conf_file:
                f = os.path.join(tmp_dir, conf_file)
                for name, value in params.iteritems():
                    replace_in_xml_file(f, name, value, True)
            else:
                temp_conf_files = [os.path.join(tmp_dir, f) for f in
                                   os.listdir(tmp_dir)]

                for name, value in params.iteritems():
                    for f in temp_conf_files:
                        if replace_in_xml_file(f, name, value):
                            break
                    else:
                        # Property not found - add it in MR_CONF_FILE
                        logger.info("Parameter with name " + name + " has not "
                                    "been found in any conf file. Setting it "
                                    "in " + default_file)
                        f = os.path.join(tmp_dir, default_file)
                        replace_in_xml_file(f, name, value, True)

            # Copy back the files to all hosts
            self._copy_conf(tmp_dir, hosts)
開發者ID:mliroz,項目名稱:bigdata_dpy,代碼行數:60,代碼來源:cluster.py

示例13: change_conf

    def change_conf(self, params):
        """Modify Hadoop configuration. This method copies the configuration
        files from the first host of each g5k cluster conf dir into a local
        temporary dir, do all the changes in place and broadcast the new
        configuration files to all hosts.
        
        Args:
          params (dict of str:str):
            The parameters to be changed in the form key:value.
        """

        for g5k_cluster in self.host_clusters:
            hosts = self.host_clusters[g5k_cluster]

            # Copy conf files from first host in the cluster
            action = Remote("ls " + self.conf_dir + "/*.xml", [hosts[0]])
            action.run()
            output = action.processes[0].stdout

            remote_conf_files = []
            for f in output.split():
                remote_conf_files.append(os.path.join(self.conf_dir, f))

            tmp_dir = "/tmp/mliroz_temp_hadoop/"
            if not os.path.exists(tmp_dir):
                os.makedirs(tmp_dir)

            action = Get([hosts[0]], remote_conf_files, tmp_dir)
            action.run()

            # Do replacements in temp file
            temp_conf_files = [os.path.join(tmp_dir, f) for f in
                               os.listdir(tmp_dir)]

            for name, value in params.iteritems():
                for f in temp_conf_files:
                    if replace_in_xml_file(f, name, value):
                        break
                else:
                    # Property not found - provisionally add it in MR_CONF_FILE
                    f = os.path.join(tmp_dir, MR_CONF_FILE)
                    replace_in_xml_file(f, name, value, True)

            # Copy back the files to all hosts
            self._copy_conf(tmp_dir, hosts)
開發者ID:lmolina,項目名稱:hadoop_g5k,代碼行數:45,代碼來源:cluster.py

示例14: _get_conf_files

    def _get_conf_files(self, host):

        action = Remote("ls " + self.conf_dir + "/*.xml", [host])
        action.run()
        output = action.processes[0].stdout

        remote_conf_files = []
        for f in output.split():
            remote_conf_files.append(os.path.join(self.conf_dir, f))

        tmp_dir = "/tmp/mliroz_temp_hadoop/"
        if not os.path.exists(tmp_dir):
            os.makedirs(tmp_dir)

        action = Get([host], remote_conf_files, tmp_dir)
        action.run()

        temp_conf_files = [os.path.join(tmp_dir, f) for f in
                           os.listdir(tmp_dir)]

        return temp_conf_files
開發者ID:mliroz,項目名稱:bigdata_dpy,代碼行數:21,代碼來源:cluster.py

示例15: bootstrap

    def bootstrap(self, tar_file):

        # 1. Remove used dirs if existing
        action = Remote("rm -rf " + self.base_dir, self.hc.hosts)
        action.run()
        action = Remote("rm -rf " + self.conf_dir, self.hc.hosts)
        action.run()

        # 1. Copy Mahout tar file and uncompress
        logger.info("Copy " + tar_file + " to hosts and uncompress")
        action = Put(self.hc.hosts, [tar_file], "/tmp")
        action.run()
        action = Remote(
            "tar xf /tmp/" + os.path.basename(tar_file) + " -C /tmp",
            self.hc.hosts)
        action.run()

        # 2. Move installation to base dir
        logger.info("Create installation directories")
        action = Remote(
            "mv /tmp/" +
            os.path.basename(tar_file).replace(".tar.gz", "") + " " +
            self.base_dir,
            self.hc.hosts)
        action.run()

        # 3 Create other dirs
        action = Remote("mkdir -p " + self.conf_dir, self.hc.hosts)
        action.run()

        # 4. Include libraries in Hadoop's classpath
        list_dirs = SshProcess("ls -1 " + self.base_dir + "/*.jar",
                               self.hc.master)
        list_dirs.run()
        libs = " ".join(list_dirs.stdout.splitlines())
        action = Remote("cp " + libs + " " + self.hc.base_dir + "/lib",
                        self.hc.hosts)
        action.run()

        initialized = True  # No need to call initialize()
開發者ID:djamelinfo,項目名稱:hadoop_g5k,代碼行數:40,代碼來源:mahout.py


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