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Python Remote.run方法代码示例

本文整理汇总了Python中execo.action.Remote.run方法的典型用法代码示例。如果您正苦于以下问题:Python Remote.run方法的具体用法?Python Remote.run怎么用?Python Remote.run使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在execo.action.Remote的用法示例。


在下文中一共展示了Remote.run方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: get_conf

# 需要导入模块: from execo.action import Remote [as 别名]
# 或者: from execo.action.Remote import run [as 别名]
    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
开发者ID:lmolina,项目名称:hadoop_g5k,代码行数:35,代码来源:cluster.py

示例2: _initialize_conf

# 需要导入模块: from execo.action import Remote [as 别名]
# 或者: from execo.action.Remote import run [as 别名]
    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()
开发者ID:djamelinfo,项目名称:hadoop_g5k,代码行数:36,代码来源:spark.py

示例3: change_conf

# 需要导入模块: from execo.action import Remote [as 别名]
# 或者: from execo.action.Remote import run [as 别名]
    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)
开发者ID:mliroz,项目名称:bigdata_dpy,代码行数:62,代码来源:cluster.py

示例4: _set_common_params

# 需要导入模块: from execo.action import Remote [as 别名]
# 或者: from execo.action.Remote import run [as 别名]
    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)
开发者ID:djamelinfo,项目名称:hadoop_g5k,代码行数:62,代码来源:spark.py

示例5: bootstrap

# 需要导入模块: from execo.action import Remote [as 别名]
# 或者: from execo.action.Remote import run [as 别名]
    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()
开发者ID:sarlam,项目名称:hadoop_g5k,代码行数:62,代码来源:spark.py

示例6: clean_logs

# 需要导入模块: from execo.action import Remote [as 别名]
# 或者: from execo.action.Remote import run [as 别名]
    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()
开发者ID:lmolina,项目名称:hadoop_g5k,代码行数:18,代码来源:cluster.py

示例7: clean_history

# 需要导入模块: from execo.action import Remote [as 别名]
# 或者: from execo.action.Remote import run [as 别名]
    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()
开发者ID:lmolina,项目名称:hadoop_g5k,代码行数:19,代码来源:cluster.py

示例8: change_conf

# 需要导入模块: from execo.action import Remote [as 别名]
# 或者: from execo.action.Remote import run [as 别名]
    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)
开发者ID:lmolina,项目名称:hadoop_g5k,代码行数:47,代码来源:cluster.py

示例9: _configure_servers

# 需要导入模块: from execo.action import Remote [as 别名]
# 或者: from execo.action.Remote import run [as 别名]
    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")
开发者ID:lmolina,项目名称:hadoop_g5k,代码行数:45,代码来源:spark.py

示例10: clean_data

# 需要导入模块: from execo.action import Remote [as 别名]
# 或者: from execo.action.Remote import run [as 别名]
    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()
开发者ID:mliroz,项目名称:bigdata_dpy,代码行数:21,代码来源:mongodb.py

示例11: clean_data

# 需要导入模块: from execo.action import Remote [as 别名]
# 或者: from execo.action.Remote import run [as 别名]
    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()
开发者ID:lmolina,项目名称:hadoop_g5k,代码行数:22,代码来源:cluster.py

示例12: bootstrap

# 需要导入模块: from execo.action import Remote [as 别名]
# 或者: from execo.action.Remote import run [as 别名]
    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()
开发者ID:mliroz,项目名称:bigdata_dpy,代码行数:43,代码来源:mongodb.py

示例13: _get_conf_files

# 需要导入模块: from execo.action import Remote [as 别名]
# 或者: from execo.action.Remote import run [as 别名]
    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
开发者ID:mliroz,项目名称:bigdata_dpy,代码行数:23,代码来源:cluster.py

示例14: bootstrap

# 需要导入模块: from execo.action import Remote [as 别名]
# 或者: from execo.action.Remote import run [as 别名]
    def bootstrap(self, tar_file):

        # 0. Check requirements
        java_major_version = 7
        if not check_java_version(java_major_version, self.hosts):
            msg = "Java 1.%d+ required" % java_major_version
            logger.error(msg)
            raise SparkException(msg)

        self.java_home = get_java_home(self.master)

        # 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)
        rm_tar = TaktukRemote(
            "rm /tmp/" + os.path.basename(tar_file),
            self.hosts)
        SequentialActions([rm_dirs, put_tar, tar_xf, rm_tar]).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 +
                              " && mkdir -p " + self.logs_dir,
                              self.hosts)
        chmods = TaktukRemote("chmod g+w " + self.base_dir +
                              " && chmod g+w " + self.conf_dir +
                              " && chmod g+w " + self.logs_dir,
                              self.hosts)
        SequentialActions([mv_base_dir, mkdirs, chmods]).run()

        # 2.1. Create spark-events dir
        if self.evs_log_dir:
            if self.evs_log_dir.startswith("file://") or \
                            "://" not in self.evs_log_dir:
                mk_evs_dir = TaktukRemote("mkdir -p " + self.evs_log_dir +
                                          " && chmod g+w " + self.evs_log_dir,
                                          self.hosts)
                mk_evs_dir.run()
            elif self.evs_log_dir.startswith("hdfs://"):
                self.hc.execute("fs -mkdir -p " + self.evs_log_dir)

        # 3. Specify environment variables
        env_file = self.conf_dir + "/spark-env.sh"

        command = "cat >> " + env_file + " << 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 += "echo SPARK_PUBLIC_DNS=$(hostname) >> " + env_file
        command += " && chmod +x " + env_file
        action = Remote(command, self.hosts)
        action.run()

        # 4. Generate initial configuration
        self._initialize_conf()
开发者ID:djamelinfo,项目名称:hadoop_g5k,代码行数:71,代码来源:spark.py

示例15: bootstrap

# 需要导入模块: from execo.action import Remote [as 别名]
# 或者: from execo.action.Remote import run [as 别名]
    def bootstrap(self, tar_file):
        """Install Hadoop in all cluster nodes from the specified tar.gz file.
        
        Args:
          tar_file (str):
            The file containing Hadoop binaries.
        """

        # 0. Check requirements
        java_major_version = 7
        if not check_java_version(java_major_version, self.hosts):
            msg = "Java 1.%d+ required" % java_major_version
            logger.error(msg)
            raise HadoopException(msg)

        self.java_home = get_java_home(self.master)

        # 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.logs_dir +
                               " " + self.hadoop_temp_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)
        rm_tar = TaktukRemote(
            "rm /tmp/" + os.path.basename(tar_file),
            self.hosts)
        SequentialActions([rm_dirs, put_tar, tar_xf, rm_tar]).run()

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

        # 4. Specify environment variables
        command = "cat >> " + self.conf_dir + "/hadoop-env.sh << EOF\n"
        command += "export JAVA_HOME=" + self.java_home + "\n"
        command += "export HADOOP_LOG_DIR=" + self.logs_dir + "\n"
        command += "HADOOP_HOME_WARN_SUPPRESS=\"TRUE\"\n"
        command += "EOF"
        action = Remote(command, self.hosts)
        action.run()

        # 5. Check version (cannot do it before)
        if not self._check_version_compliance():
            return False

        # 6. Generate initial configuration
        self._initialize_conf()

        return True
开发者ID:mliroz,项目名称:bigdata_dpy,代码行数:70,代码来源:cluster.py


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