Windows 10/11上自动安装配置Hive 3.1.2的Python代码_windows11部署hive

import os
import subprocess
import sys
import xml.etree.ElementTree as ET
from lxml import etree
from shutil import copyfile, move
import shutil  
import re


version = '3.1.3'
hadoop = f'hadoop-{version}'
hive_version = '3.1.2'
path = 'C:\\'
directory_path = path + hadoop
java_path = r'C:\Program Files\Java\jre-1.8'
hive = f'apache-hive-{hive_version}-bin'
hive_path = path + hive
mysql_path = r'C:\Program Files\MySQL\MySQL Server 8.0'
mysql_version = '8.0.36.0'
mysql = f'mysql-installer-community-{mysql_version}.msi'


def jre_8_install():
    try:
        result = subprocess.run(['java', '-version'], stderr=subprocess.PIPE, universal_newlines=True)
        if not result.stderr.startswith('java version'):
            print(result.stderr)
            process = subprocess.run(['winget','install','Oracle.JavaRuntimeEnvironment'], shell=True, check=True)
    except:
        process = subprocess.run(['winget','install','Oracle.JavaRuntimeEnvironment'], shell=True, check=True)  
    print('JRE 8 install successfully')
    java_home = os.environ.get('JAVA_HOME') 
    if java_home != java_path:
        process = subprocess.run(['setx','JAVA_HOME',java_path], shell=True, check=True)
    print('JAVA_HOME environment variable is set')

        
def set_hadoop_home():
    hadoop_home = os.environ.get('HADOOP_HOME')  
    if hadoop_home == directory_path:
        print('HADOOP_HOME environment variable is set')
    else:
        process = subprocess.run(['setx','HADOOP_HOME',directory_path], shell=True, check=True)
        print('HADOOP_HOME environment variable is set')
        try:
            result = subprocess.run(['hadoop', '--version'], stderr=subprocess.PIPE, universal_newlines=True)
            if result.stderr.startswith('java'):
                print('Path environment variable is set')
            else:
                print(result.stderr)
        except:
            path = os.environ.get('Path')
            if not rf'{directory_path}\bin' in path:
                hadoop_path = rf'{path}%HADOOP_HOME%\bin'
                process = subprocess.run(['setx','Path', hadoop_path], shell=True, check=True)
            if not rf'{directory_path}\sbin' in path:
                hadoop_path = rf'{path}%HADOOP_HOME%\sbin'
                print(f'Path=\n{hadoop_path}')
                process = subprocess.run(['setx','Path', hadoop_path], shell=True, check=True)
            print('Hadoop Path environment variable is set')

        
def set_java_library_path():
    java_library_path = os.environ.get('JAVA_LIBRARY_PATH')
    if java_library_path != rf'{directory_path}\lib\native':
        process = subprocess.run(['setx','JAVA_LIBRARY_PATH',rf'{directory_path}\lib\native'], shell=True, check=True)
    print('JAVA_LIBRARY_PATH environment variable is set')

        
def set_hadoop_common_lib_native_dir():
    java_library_path = os.environ.get('HADOOP_COMMON_LIB_NATIVE_DIR')
    if java_library_path != rf'{directory_path}\lib\native':
        process = subprocess.run(['setx','HADOOP_COMMON_LIB_NATIVE_DIR',r'%HADOOP_HOME%\lib\native'], shell=True, check=True)
    print('HADOOP_COMMON_LIB_NATIVE_DIR environment variable is set')


def set_hive_home():
    hive_home = os.environ.get('HIVE_HOME')
    if hive_home != hive_path:
        process = subprocess.run(['setx','HIVE_HOME',hive_path], shell=True, check=True)
    path = os.environ.get('Path')
    if not rf'{hive_path}\bin' in path:
        hive_bin_path = rf'{path.replace(";;",";")};%HIVE_HOME%\bin'
        print(hive_bin_path)
        process = subprocess.run(['setx','Path', hive_bin_path], shell=True, check=True)
    print('HIVE_HOME environment variable is set')


def create_directories(base_dir): 

    # 指定data目录并检查是否存在，如果不存在则创建  
    data_dir = os.path.join(base_dir, "data")  
    if not os.path.exists(data_dir):  
        os.makedirs(data_dir)  

    # 指定并检查namenode和datanode目录是否存在，如果不存在则创建  
    namenode_dir = os.path.join(data_dir, "namenode")  
    datanode_dir = os.path.join(data_dir, "datanode")  

    for dir_path in [namenode_dir, datanode_dir]:  
        if not os.path.exists(dir_path):  
            os.makedirs(dir_path)

    # 指定tmp目录并检查是否存在，如果不存在则创建  
    tmp_dir = os.path.join(base_dir, "tmp")  
    if not os.path.exists(tmp_dir):  
        os.makedirs(tmp_dir)  
    print("Directories namenode and datanode are created")


def update_core_site_xml(base_dir):
    # XML文件路径  
    file_path = rf'{base_dir}\etc\hadoop\core-site.xml'  

    # 检查文件是否存在  
    if os.path.exists(file_path):  
        # 解析XML文件  
        tree = ET.parse(file_path)  
        root = tree.getroot()  

        # 检查根节点是否为configuration  
        if root.tag != 'configuration':  
            # 如果不是，则创建一个新的configuration节点，并将原有内容作为其子节点  
            new_root = ET.Element('configuration')  
            new_root.append(root)  
            tree._setroot(new_root)  
            root = new_root  

        # 检查是否有property节点  
        property_node = root.find('property')  
        if not property_node:  
            # 创建新的property节点  
            property_node = ET.SubElement(root, 'property')  

        if len(property_node) == 0:  

            # 创建name和value节点  
            name_node = ET.SubElement(property_node, 'name')  
            name_node.text = 'fs.defaultFS'  

            value_node = ET.SubElement(property_node, 'value')  
            value_node.text = 'hdfs://localhost:9000'  

            # 将修改写回文件  
            tree.write(file_path, encoding='utf-8', xml_declaration=True)  

            # 加载XML文件  
            parser = etree.XMLParser(remove_blank_text=True)  
            tree = etree.parse(file_path, parser)  
            root = tree.getroot()  

            # 检查根节点是否为configuration  
            if root.tag != 'configuration':  
                # 如果不是，则可能需要更复杂的处理，这里假设它就是  
                raise ValueError("Expected root element to be 'configuration'")  

            # 创建新的注释和样式表声明节点  
            xml_stylesheet = etree.ProcessingInstruction('xml-stylesheet', 'type="text/xsl" href="configuration.xsl"')  
            comment = etree.Comment('\n  Licensed under the Apache License, Version 2.0 (the "License");\n'  
                                    '  you may not use this file except in compliance with the License.\n'  
                                    '  You may obtain a copy of the License at\n'  
                                    '\n'  
                                    '    http://www.apache.org/licenses/LICENSE-2.0\n'  
                                    '\n'  
                                    '  Unless required by applicable law or agreed to in writing, software\n'  
                                    '  distributed under the License is distributed on an "AS IS" BASIS,\n'  
                                    '  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n'  
                                    '  See the License for the specific language governing permissions and\n'  
                                    '  limitations under the License. See accompanying LICENSE file.\n')  

            # 在configuration节点之前插入新的节点  
            root.addprevious(xml_stylesheet)  
            root.addprevious(comment)  

            # 为了保持格式化输出，我们使用lxml的pretty_print函数  
            # 首先，我们需要创建一个新的XML树，因为不能直接修改原文件  
            new_tree = etree.ElementTree(root)  

            # 格式化并写入文件  
            with open(file_path, 'wb') as f:  
                new_tree.write(f, pretty_print=True, xml_declaration=True, encoding='utf-8')
        print("core-site.xml updated")
        
    else:  
        print(f"{file_path} does not exist")


def update_hdfs_site_xml(base_dir):
    # XML文件路径  
    file_path = rf'{base_dir}\etc\hadoop\hdfs-site.xml'  

    # 检查文件是否存在  
    if os.path.exists(file_path):  
        # 解析XML文件  
        tree = ET.parse(file_path)  
        root = tree.getroot()  

        # 检查根节点是否为configuration  
        if root.tag != 'configuration':  
            # 如果不是，则创建一个新的configuration节点，并将原有内容作为其子节点  
            new_root = ET.Element('configuration')  
            new_root.append(root)  
            tree._setroot(new_root)  
            root = new_root  

        # 检查是否有property节点  
        property_node = root.find('property')  
        if not property_node:  
            # 创建新的property节点  
            property_node = ET.SubElement(root, 'property')  

        if len(property_node) == 0:

            # 创建name和value节点  
            name_node = ET.SubElement(property_node, 'name')
            name_node.text = 'dfs.replication'  

            value_node = ET.SubElement(property_node, 'value')
            value_node.text = '1'  
            
            # 创建新的property节点  
            property_node2 = ET.SubElement(root, 'property')

            # 创建name和value节点  
            name_node = ET.SubElement(property_node2, 'name')  
            name_node.text = 'dfs.namenode.name.dir'  

            value_node = ET.SubElement(property_node2, 'value')  
            value_node.text = f'/{path[:-1]}/{hadoop}/data/namenode'
            
            # 创建新的property节点  
            property_node3 = ET.SubElement(root, 'property')

            # 创建name和value节点  
            name_node = ET.SubElement(property_node3, 'name')  
            name_node.text = 'dfs.datanode.data.dir'  

            value_node = ET.SubElement(property_node3, 'value')  
            value_node.text = f'/{path[:-1]}/{hadoop}/data/datanode'

            # 将修改写回文件  
            tree.write(file_path, encoding='utf-8', xml_declaration=True)  

            # 加载XML文件  
            parser = etree.XMLParser(remove_blank_text=True)  
            tree = etree.parse(file_path, parser)  
            root = tree.getroot()  

            # 检查根节点是否为configuration  
            if root.tag != 'configuration':  
                # 如果不是，则可能需要更复杂的处理，这里假设它就是  
                raise ValueError("Expected root element to be 'configuration'")  

            # 创建新的注释和样式表声明节点  
            xml_stylesheet = etree.ProcessingInstruction('xml-stylesheet', 'type="text/xsl" href="configuration.xsl"')  
            comment = etree.Comment('\n  Licensed under the Apache License, Version 2.0 (the "License");\n'  
                                    '  you may not use this file except in compliance with the License.\n'  
                                    '  You may obtain a copy of the License at\n'  
                                    '\n'  
                                    '    http://www.apache.org/licenses/LICENSE-2.0\n'  
                                    '\n'  
                                    '  Unless required by applicable law or agreed to in writing, software\n'  
                                    '  distributed under the License is distributed on an "AS IS" BASIS,\n'  
                                    '  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n'  
                                    '  See the License for the specific language governing permissions and\n'  
                                    '  limitations under the License. See accompanying LICENSE file.\n')  

            # 在configuration节点之前插入新的节点  
            root.addprevious(xml_stylesheet)  
            root.addprevious(comment)  

            # 为了保持格式化输出，我们使用lxml的pretty_print函数  
            # 首先，我们需要创建一个新的XML树，因为不能直接修改原文件  
            new_tree = etree.ElementTree(root)  

            # 格式化并写入文件  
            with open(file_path, 'wb') as f:  
                new_tree.write(f, pretty_print=True, xml_declaration=True, encoding='utf-8')
        print("hdfs-site.xml updated")
        
    else:  
        print(f"{file_path} does not exist")


def update_mapred_site_xml(base_dir):
    # XML文件路径  
    file_path = rf'{base_dir}\etc\hadoop\mapred-site.xml'  

    # 检查文件是否存在  
    if os.path.exists(file_path):  
        # 解析XML文件  
        tree = ET.parse(file_path)  
        root = tree.getroot()  

        # 检查根节点是否为configuration  
        if root.tag != 'configuration':  
            # 如果不是，则创建一个新的configuration节点，并将原有内容作为其子节点  
            new_root = ET.Element('configuration')  
            new_root.append(root)  
            tree._setroot(new_root)  
            root = new_root  

        # 检查是否有property节点  
        property_node = root.find('property')  
        if not property_node:  
            # 创建新的property节点  
            property_node = ET.SubElement(root, 'property')  

        if len(property_node) == 0:  

            # 创建name和value节点  
            name_node = ET.SubElement(property_node, 'name')  
            name_node.text = 'mapreduce.framework.name'  

            value_node = ET.SubElement(property_node, 'value')  
            value_node.text = 'yarn'  

            # 将修改写回文件  
            tree.write(file_path, encoding='utf-8', xml_declaration=True)  

            # 加载XML文件  
            parser = etree.XMLParser(remove_blank_text=True)  
            tree = etree.parse(file_path, parser)  
            root = tree.getroot()  

            # 检查根节点是否为configuration  
            if root.tag != 'configuration':  
                # 如果不是，则可能需要更复杂的处理，这里假设它就是  
                raise ValueError("Expected root element to be 'configuration'")  

            # 创建新的注释和样式表声明节点  
            xml_stylesheet = etree.ProcessingInstruction('xml-stylesheet', 'type="text/xsl" href="configuration.xsl"')  
            comment = etree.Comment('\n  Licensed under the Apache License, Version 2.0 (the "License");\n'  
                                    '  you may not use this file except in compliance with the License.\n'  
                                    '  You may obtain a copy of the License at\n'  
                                    '\n'  
                                    '    http://www.apache.org/licenses/LICENSE-2.0\n'  
                                    '\n'  
                                    '  Unless required by applicable law or agreed to in writing, software\n'  
                                    '  distributed under the License is distributed on an "AS IS" BASIS,\n'  
                                    '  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n'  
                                    '  See the License for the specific language governing permissions and\n'  
                                    '  limitations under the License. See accompanying LICENSE file.\n')  

            # 在configuration节点之前插入新的节点  
            root.addprevious(xml_stylesheet)  
            root.addprevious(comment)  

            # 为了保持格式化输出，我们使用lxml的pretty_print函数  
            # 首先，我们需要创建一个新的XML树，因为不能直接修改原文件  
            new_tree = etree.ElementTree(root)  

            # 格式化并写入文件  
            with open(file_path, 'wb') as f:  
                new_tree.write(f, pretty_print=True, xml_declaration=True, encoding='utf-8')
        print("mapred-site.xml updated")
        
    else:  
        print(f"{file_path} does not exist")


def update_yarn_site_xml(base_dir):
    # XML文件路径  
    file_path = rf'{base_dir}\etc\hadoop\yarn-site.xml'  

    # 检查文件是否存在  
    if os.path.exists(file_path):  
        # 解析XML文件  
        tree = ET.parse(file_path)  
        root = tree.getroot()  

        # 检查根节点是否为configuration  
        if root.tag != 'configuration':  
            # 如果不是，则创建一个新的configuration节点，并将原有内容作为其子节点  
            new_root = ET.Element('configuration')  
            new_root.append(root)  
            tree._setroot(new_root)  
            root = new_root  

        # 检查是否有property节点  
        property_node = root.find('property')  
        if not property_node:  
            # 创建新的property节点  
            property_node = ET.SubElement(root, 'property')  

        if len(property_node) == 0:

            # 创建name和value节点  
            name_node = ET.SubElement(property_node, 'name')
            name_node.text = 'yarn.nodemanager.aux-services'  

            value_node = ET.SubElement(property_node, 'value')
            value_node.text = 'mapreduce_shuffle'  
            
            # 创建新的property节点  
            property_node2 = ET.SubElement(root, 'property')

            # 创建name和value节点  
            name_node = ET.SubElement(property_node2, 'name')  
            name_node.text = 'yarn.nodemanager.aux-services.mapreduce.shuffle.class'  

            value_node = ET.SubElement(property_node2, 'value')  
            value_node.text = 'org.apache.hadoop.mapred.ShuffleHandler'
            
            # 创建新的property节点  
            property_node3 = ET.SubElement(root, 'property')

            # 创建name和value节点  
            name_node = ET.SubElement(property_node3, 'name')  
            name_node.text = 'yarn.nodemanager.resource.memory-mb'  

            value_node = ET.SubElement(property_node3, 'value')  
            value_node.text = '2048'
            
            # 创建新的property节点  
            property_node4 = ET.SubElement(root, 'property')

            # 创建name和value节点  
            name_node = ET.SubElement(property_node4, 'name')  
            name_node.text = 'yarn.nodemanager.resource.cpu-vcores'  

            value_node = ET.SubElement(property_node4, 'value')  
            value_node.text = '1'

            # 将修改写回文件  
            tree.write(file_path, encoding='utf-8', xml_declaration=True)  

            # 加载XML文件  
            parser = etree.XMLParser(remove_blank_text=True)  
            tree = etree.parse(file_path, parser)  
            root = tree.getroot()  

            # 检查根节点是否为configuration  
            if root.tag != 'configuration':  
                # 如果不是，则可能需要更复杂的处理，这里假设它就是  
                raise ValueError("Expected root element to be 'configuration'")  

            # 创建新的注释和样式表声明节点  
            xml_stylesheet = etree.ProcessingInstruction('xml-stylesheet', 'type="text/xsl" href="configuration.xsl"')  
            comment = etree.Comment('\n  Licensed under the Apache License, Version 2.0 (the "License");\n'  
                                    '  you may not use this file except in compliance with the License.\n'  
                                    '  You may obtain a copy of the License at\n'  
                                    '\n'  
                                    '    http://www.apache.org/licenses/LICENSE-2.0\n'  
                                    '\n'  
                                    '  Unless required by applicable law or agreed to in writing, software\n'  
                                    '  distributed under the License is distributed on an "AS IS" BASIS,\n'  
                                    '  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n'  
                                    '  See the License for the specific language governing permissions and\n'  
                                    '  limitations under the License. See accompanying LICENSE file.\n')  

            # 在configuration节点之前插入新的节点  
            root.addprevious(xml_stylesheet)  
            root.addprevious(comment)  

            # 为了保持格式化输出，我们使用lxml的pretty_print函数  
            # 首先，我们需要创建一个新的XML树，因为不能直接修改原文件  
            new_tree = etree.ElementTree(root)  

            # 格式化并写入文件  
            with open(file_path, 'wb') as f:  
                new_tree.write(f, pretty_print=True, xml_declaration=True, encoding='utf-8')
        print("yarn-site.xml updated")
        
    else:  
        print(f"{file_path} does not exist")


def hadoop_download_decompress(base_dir):
    if os.path.exists(base_dir) and os.path.isdir(base_dir):  
        print(f"Hadoop {version} downloaded & decompressed")
    else:
        print(f"Hadoop {version} started downloading")
        process = subprocess.run(['curl',f'https://archive.apache.org/dist/hadoop/common/{hadoop}/{hadoop}.tar.gz','-o',f'{hadoop}.tar.gz.tmp'], shell=True, check=True)
        os.rename(f'{hadoop}.tar.gz.tmp',f'{hadoop}.tar.gz')
        print(f"Hadoop {version} downloaded")
        process = subprocess.run(['tar','-xzvf',f'{hadoop}.tar.gz','-C',path], shell=True, check=True)
        if os.path.exists(base_dir) and os.path.isdir(base_dir):  
            print(f"Hadoop {version} decompressed")


def hive_download_decompress(base_dir):
    if os.path.exists(base_dir) and os.path.isdir(base_dir):  
        print(f"Hive {hive_version} downloaded & decompressed")
    else:
        print(f"Hive {hive_version} started downloading")
        process = subprocess.run(['curl',f'http://archive.apache.org/dist/hive/hive-{hive_version}/{hive}.tar.gz','-o',f'{hive}.tar.gz.tmp'], shell=True, check=True)
        os.rename(f'{hive}.tar.gz.tmp',f'{hive}.tar.gz')
        print(f"Hive {hive_version} downloaded")
        process = subprocess.run(['tar','-xzvf',f'{hive}.tar.gz'], shell=True, check=True)
        # 移动源文件夹到目标文件夹
        move(hive, path)
        if os.path.exists(base_dir) and os.path.isdir(base_dir):  
            print(f"Hive {hive_version} decompressed")


def update_hadoop_env_cmd(base_dir):
    # 批处理文件路径
    file_path = rf'{base_dir}\etc\hadoop\hadoop-env.cmd'  

    # 检查文件是否存在  
    if os.path.exists(file_path):
        java_dir = 'C:\\jre-1.8\\'
        if not os.path.exists(java_dir):   
            os.system(f'xcopy /s /i "{java_path}" {java_dir}')
            # 设置文件路径  
            temp_file_path = file_path + '.tmp'  

            # 读取文件内容  
            with open(file_path, 'r') as file:  
                file_content = file.read()  

            # 替换内容  
            new_content = file_content.replace('set JAVA_HOME=%JAVA_HOME%', f'set JAVA_HOME={java_dir}')  

            # 将新内容写入到临时文件  
            with open(temp_file_path, 'w') as file:  
                file.write(new_content)  

            # 删除原始文件并将临时文件重命名为原始文件  
            os.remove(file_path)  
            os.rename(temp_file_path, file_path)
        print("hadoop-env.cmd updated")
        
    else:  
        print(f"{file_path} does not exist")


def copy_jar_file(base_dir):
    source = rf'{base_dir}\share\hadoop\yarn\timelineservice\hadoop-yarn-server-timelineservice-3.1.3.jar'
    target = rf'{base_dir}\share\hadoop\yarn\hadoop-yarn-server-timelineservice-3.1.3.jar'
    if os.path.exists(source) and os.path.isfile(source):
        if not os.path.exists(target):
            # adding exception handling
            try:
               copyfile(source, target)
            except IOError as e:
               print("Unable to copy file. %s" % e)
            except:
               print("Unexpected error:", sys.exc_info())
        print("'hadoop-yarn-server-timelineservice-3.1.3.jar' copy done")
    else:  
        print(f"{source} does not exist")


def create_hive_storage(base_dir):
    
    # 指定my_hive目录并检查是否存在，如果不存在则创建  
    my_hive_dir = os.path.join(base_dir, "my_hive")  
    if not os.path.exists(my_hive_dir):  
        os.makedirs(my_hive_dir)
    print("Directory my_hive is created")


def mysql_download_install(base_dir):
    if os.path.exists(base_dir) and os.path.isdir(base_dir):  
        print(f"MySQL {mysql_version} downloaded & installed")
    else:
        print(f"MySQL {mysql_version} started downloading")
        process = subprocess.run(['curl',f'https://cdn.mysql.com//Downloads/MySQLInstaller/{mysql}','-o',f'{mysql}.tmp'], shell=True, check=True)
        os.rename(f'{mysql}.tmp',f'{mysql}')
        print(f"MySQL {mysql_version} downloaded")
        print(f'start {mysql}')
        # 移动源文件夹到目标文件夹
        move(hive, path)
        if os.path.exists(base_dir) and os.path.isdir(base_dir):  
            print(f"MySQL {mysql_version} decompressed")


def set_mysql_home():
    mysql_dir = os.environ.get('MYSQL_HOME')
    if mysql_dir != mysql_path:
        process = subprocess.run(['setx','MYSQL_HOME',mysql_path], shell=True, check=True)
    print('MYSQL_HOME environment variable is set')
    path = os.environ.get('Path')
    if not rf'{mysql_path}\bin' in path:
        mysql_path_dir = rf'{path}%MYSQL_HOME%\bin'
        print(mysql_path_dir)
#         process = subprocess.run(['setx','Path', mysql_path_dir], shell=True, check=True)
    print('MySQL Path environment variable is set')


def config_hive_xml_files(base_dir):
    base_path = rf"{base_dir}\conf"  
  
    # 文件映射，旧文件名到新文件名  
    file_map = {  
        "hive-default.xml.template": "hive-site.xml",  
        "hive-env.sh.template": "hive-env.sh",  
        "hive-exec-log4j2.properties.template": "hive-exec-log4j2.properties",  
        "hive-log4j2.properties.template": "hive-log4j2.properties"  
    }  

    # 遍历文件映射并执行复制操作  
    for old_name, new_name in file_map.items():  
        old_path = os.path.join(base_path, old_name)  
        new_path = os.path.join(base_path, new_name)  

        # 检查源文件是否存在  
        if os.path.isfile(old_path) and (not os.path.isfile(new_path)):  
            # 使用shutil.copy2复制文件，并保持元数据  
            shutil.copy2(old_path, new_path)  
            print(f"Copied {old_name} to {new_name}")

            if new_name == "hive-site.xml":

                # 读取XML文件内容  
                with open(new_path, 'r', encoding='utf-8') as file:  
                    xml_content = file.read()  

                # 使用正则表达式修复错误的HTML实体  
                # 假设错误实体为 ''，它可能是一个编码错误，我们将其替换为一个空格  
                # 注意：这里只是一个示例，您需要根据实际情况调整正则表达式和替换内容  
                xml_content = re.sub(r'', ' ', xml_content)

                # 解析修复后的XML内容  
                try:  
                    root = ET.fromstring(xml_content)  
                    print(f"Parse {new_name} successfully")  
                except ET.ParseError as e:  
                    print(f"Parse {new_name} failed:{e}")  

                # 如果需要，您还可以将修复后的XML内容写回到文件中  
                with open(new_path, 'w', encoding='utf-8') as file:  
                    file.write(xml_content)
                
                # 加载XML文件
                tree = ET.parse(new_path)  
                root = tree.getroot()  

                # 检查是否存在${system:java.io.tmpdir}  
                needs_update = False  
                for prop in root.findall('.//property'):  
                    name = prop.find('name')  
                    value = prop.find('value')  
                    if name is not None and value is not None and '${system:java.io.tmpdir}' in value.text:  
                        needs_update = True  
                        break  

                # 如果需要更新，则进行更改  
                if needs_update:  
                    # 定义新的属性值  
                    new_values = {  
                        'hive.exec.local.scratchdir': 'C:/apache-hive-3.1.2-bin/my_hive/scratch_dir',  
                        'hive.downloaded.resources.dir': 'C:/apache-hive-3.1.2-bin/my_hive/resources_dir/${hive.session.id}_resources',  
                        'hive.querylog.location': 'C:/apache-hive-3.1.2-bin/my_hive/querylog_dir',  
                        'javax.jdo.option.ConnectionURL': 'jdbc:mysql://localhost:3306/hive?serverTimezone=UTC&useSSL=false&allowPublicKeyRetrieval=true',  
                        'javax.jdo.option.ConnectionDriverName': 'com.mysql.cj.jdbc.Driver',  
                        'javax.jdo.option.ConnectionUserName': 'root',  
                        'javax.jdo.option.ConnectionPassword': 'root',  
                        'hive.metastore.schema.verification': 'false',  
                        'datanucleus.schema.autoCreateAll': 'true',  
                        'hive.server2.active.passive.ha.enable': 'true'
                    }  

                    # 遍历root下的所有property元素  
                    for prop in root.findall('.//property'):  
                        name = prop.find('name')  
                        if name is not None and name.text in new_values:  
                            # 找到对应的name节点，更新其value节点的值  
                            value = prop.find('value')  
                            if value is not None:  
                                value.text = new_values[name.text]  
                            else:  
                                # 如果value节点不存在，则创建它  
                                value = ET.Element('value')  
                                value.text = new_values[name.text]  
                                prop.append(value)  

                    # 保存修改后的XML文件  
                    tree.write(new_path, encoding='utf-8', xml_declaration=True)  
                print(f"Updated {new_name} successfully")
            elif new_name == 'hive-env.sh':
                # 定义要替换的内容和目标路径  
                hadoop_home_old = "# HADOOP_HOME=${bin}/../../hadoop"  
                hadoop_home_new = "export HADOOP_HOME=C:\\hadoop-3.1.3"  

                hive_conf_dir_old = "# export HIVE_CONF_DIR="  
                hive_conf_dir_new = "export HIVE_CONF_DIR=C:\\apache-hive-3.1.2-bin\\conf"  

                hive_aux_jars_path_old = "# export HIVE_AUX_JARS_PATH="  
                hive_aux_jars_path_new = "export HIVE_AUX_JARS_PATH=C:\\apache-hive-3.1.2-bin\\lib"  

                file_path = "C:\\apache-hive-3.1.2-bin\\conf\\hive-env.sh"  
                new_file_path = "C:\\apache-hive-3.1.2-bin\\conf\\hive-env-modified.sh"
                # 读取文件内容  
                with open(new_path, 'r') as file:  
                    lines = file.readlines()  

                    # 替换内容  
                    new_lines = []  
                    for line in lines:  
                        if hadoop_home_old in line:  
                            line = hadoop_home_new + "\n"  
                        elif hive_conf_dir_old in line:  
                            line = hive_conf_dir_new + "\n"  
                        elif hive_aux_jars_path_old in line:  
                            line = hive_aux_jars_path_new + "\n"  
                        new_lines.append(line) 

                # 将修改后的内容写入文件  
                with open(new_path, 'w') as file:  
                    file.writelines(new_lines)  
                print(f"Updated {new_name} successfully")
            elif new_name == 'hive-log4j2.properties':
                # 读取文件内容  
                with open(new_path, 'r', encoding='utf-8') as file:  
                    content = file.read()  

                # 检查是否存在${sys:java.io.tmpdir}
                if '${sys:java.io.tmpdir}' in content:  
                    # 替换字符串  
                    new_content = content.replace(  
                        'property.hive.log.dir = ${sys:java.io.tmpdir}/${sys:user.name}',  
                        'property.hive.log.dir = C:\\apache-hive-3.1.2-bin\\my_hive\\log_dir'  
                    )  

                    # 将修改后的内容写回到一个新文件  
                    with open(new_path, 'w', encoding='utf-8') as file:  
                        file.write(new_content)
            elif new_name == 'hive-log4j2.properties.template':
                # 读取文件内容  
                with open(new_path, 'r', encoding='utf-8') as file:  
                    content = file.read()  

                # 检查是否存在${sys:java.io.tmpdir}
                if '${sys:java.io.tmpdir}' in content:  
                    # 替换字符串  
                    new_content = content.replace(  
                        'property.hive.log.dir = ${sys:java.io.tmpdir}/${sys:user.name}',  
                        'property.hive.log.dir = C:\\apache-hive-3.1.2-bin\\my_hive\\hive_log_dir'  
                    )  

                    # 将修改后的内容写回到一个新文件  
                    with open(new_path, 'w', encoding='utf-8') as file:  
                        file.write(new_content)  


def download_mysql_connector():
    if not os.path.exists(rf'{hive_path}\lib\mysql-connector-java-8.0.30.jar'):
        print('MySQL Connector 8.0.30 started downloading')
        process = subprocess.run(['curl',f'https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.30/mysql-connector-java-8.0.30.jar','-o',f'mysql-connector-java-8.0.30.jar.tmp'], shell=True, check=True)
        move('mysql-connector-java-8.0.30.jar.tmp',rf'{hive_path}\lib\mysql-connector-java-8.0.30.jar')
    print('MySQL Connector 8.0.30 downloaded')


def download_hive_cmd_files():
    # 源目录和目标目录  
    src_dir = r".\hive-2.2.0\bin"  
    dst_dir = rf"{hive_path}\bin" 
    hive_cmd_path = os.path.join(dst_dir, "hive.cmd")  
#     检查hive.cmd是否存在  
    if not os.path.exists(hive_cmd_path):
        files_and_dirs = ['apache-hive-2.2.0-src.tar.gz.tmp', 'apache-hive-2.2.0-src.tar.gz', 'hive-2.2.0']
        for item in files_and_dirs:  
            remove_file_or_dir(item)
        print('Hive cmd files started downloading')
        process = subprocess.run(['curl','https://archive.apache.org/dist/hive/hive-2.2.0/apache-hive-2.2.0-src.tar.gz','-o',f'apache-hive-2.2.0-src.tar.gz.tmp'], shell=True, check=True)
        os.rename('apache-hive-2.2.0-src.tar.gz.tmp','apache-hive-2.2.0-src.tar.gz')
        process = subprocess.run(['tar','-xzvf','apache-hive-2.2.0-src.tar.gz'], shell=True, check=True)
    print('Hive cmd files downloaded') 

    # 遍历源目录中的所有文件  
    for filename in os.listdir(src_dir):  
        # 如果文件是以.cmd结尾的  
        if filename.endswith(".cmd"):  
            # 构造源文件和目标文件的完整路径  
            src_file = os.path.join(src_dir, filename)  
            dst_file = os.path.join(dst_dir, filename)  
            # 复制文件  
            shutil.copy2(src_file, dst_file)  
    # 遍历源目录中的所有文件  
    for filename in os.listdir(rf'{src_dir}\ext'):  
        # 如果文件是以.cmd结尾的  
        if filename.endswith(".cmd"):  
            # 构造源文件和目标文件的完整路径  
            src_file = os.path.join(rf'{src_dir}\ext', filename)  
            dst_file = os.path.join(rf'{dst_dir}\ext', filename)  
            # 复制文件  
            shutil.copy2(src_file, dst_file)  
    # 遍历源目录中的所有文件  
    for filename in os.listdir(rf'{src_dir}\ext\util'):  
        # 如果文件是以.cmd结尾的  
        if filename.endswith(".cmd"):  
            # 构造源文件和目标文件的完整路径  
            src_file = os.path.join(rf'{src_dir}\ext\util', filename)  
            dst_file = os.path.join(rf'{dst_dir}\ext\util', filename)  
            # 复制文件  
            shutil.copy2(src_file, dst_file)  
    print(f"Hive cmd files copied to Hive {hive_version}")

    
def remove_file_or_dir(path):  
    if os.path.exists(path):  
        if os.path.isfile(path):  
            os.remove(path)  
            print(f"File {path} removed.")  
        elif os.path.isdir(path):  
            shutil.rmtree(path)  
            print(f"Directory {path} removed.") 
        
        
jre_8_install()
hadoop_download_decompress(directory_path)
set_hadoop_home()
set_java_library_path()
set_hadoop_common_lib_native_dir()
create_directories(directory_path)
update_core_site_xml(directory_path)
update_hdfs_site_xml(directory_path)
update_mapred_site_xml(directory_path)
update_yarn_site_xml(directory_path)
update_hadoop_env_cmd(directory_path)
print('hdfs namenode -format')
print(f'Download apache-{hadoop}-winutils.zip from https://github.com/s911415/apache-hadoop-3.1.3-winutils or https://gitcode.com/weixin_307779131/apache-hadoop-3.1.3-winutils/tree/master or https://download.csdn.net/download/weixin_43576022/12381058')
print(rf'decompress and copy the files to {directory_path}\bin and copy "hadoop.dll" and "hdfs.dll" to {directory_path}\lib\native')
copy_jar_file(directory_path)
print('start-all.cmd')
print('http://localhost:8088/cluster')
print('http://localhost:9870')
hive_download_decompress(hive_path)
set_hive_home()
create_hive_storage(hive_path)
config_hive_xml_files(hive_path)
print('hadoop fs -mkdir /tmp')
print('hadoop fs -mkdir /user/')
print('hadoop fs -mkdir /user/hive/')
print('hadoop fs -mkdir /user/hive/warehouse')
print('hadoop fs -chmod g+w /tmp')
print('hadoop fs -chmod g+w /user/hive/warehouse')
mysql_download_install(mysql_path)
set_mysql_home()
download_mysql_connector()
download_hive_cmd_files()
print("""ALTER USER 'root'@'localhost' IDENTIFIED BY 'root';
FLUSH PRIVILEGES;
CREATE DATABASE IF NOT EXISTS hive CHARACTER SET latin1 COLLATE latin1_swedish_ci;
USE hive;
GRANT ALL PRIVILEGES ON *.* TO 'root'@'localhost' WITH GRANT OPTION;  
FLUSH PRIVILEGES;""")
print('hive --service schematool -dbType mysql -initSchema')
print('start-all.cmd')
print('hive --service metastore')
print('hive --service hiveserver2')
print('http://localhost:10002/')
print('''hive
create database test;
show databases;
use test;
create table t (a int);
insert into t values(a);
select * from t;''')
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