Please give brief introductions of the projects in recent 12 months using Elasticsearch

[flows-network-integration[bot]]

Sure, here are some brief introductions of projects in recent 12 months using Elasticsearch:

1. Open Bazaar: Open Bazaar is a decentralized marketplace where buyers and sellers can interact directly without the need for a middleman. Elasticsearch is used to power search and filtering on the platform.

2. Quizlet: Quizlet is an online learning platform that offers study tools to millions of students worldwide. Elasticsearch is used to provide fast and accurate search results for their vast library of study materials.

3. Shopify: Shopify is an e-commerce platform that allows businesses to create customizable online stores. Elasticsearch is used to power their search functionality, providing customers with relevant results from their store's inventory.

4. The Guardian: The Guardian is a popular international news outlet. Elasticsearch is used to power their search and filtering functionality, making it easier for readers to find articles and content on specific topics.

5. Shopify Plus: Shopify Plus is an enterprise-level version of Shopify, designed for large-scale e-commerce operations. Elasticsearch is used to provide fast and flexible search capabilities for their high-volume stores.

These are just a few examples, but Elasticsearch is being used in many different industries and applications.

[ltz911]

Give me examples only in the IT industry.

[flows-network-integration[bot]]

Sure, here are some examples of projects in the IT industry using Elasticsearch:

1. GitHub: GitHub is a popular platform for software development collaboration. Elasticsearch is used to power their search and filtering functions, allowing developers to quickly find relevant code and projects.

2. Hootsuite: Hootsuite is a social media management platform that allows users to manage their accounts across various social media platforms. Elasticsearch is used to power their search functionality, allowing users to quickly find and analyze social media conversations.

3. Magento: Magento is an e-commerce platform that allows businesses to create online stores. Elasticsearch is used to power their search functionality, allowing customers to quickly find products and content.

4. Okta: Okta is an identity and access management platform for enterprise customers. Elasticsearch is used to power search and reporting, making it easy for administrators to find and manage user data.

5. Splunk: Splunk is a data analytics platform that helps businesses collect, process and analyze machine-generated data. Elasticsearch is used as a data storage backend and search engine, allowing users to quickly search and analyze vast amounts of data.

These are just a few examples of how Elasticsearch is being used in the IT industry.

[ltz911]

Those ain't new, how about IT related projects on ElasticOn 2023?

[flows-network-integration[bot]]

As an AI language model, I cannot predict future events, or projects on ElasticOn 2023. The best way to stay informed on ElasticOn events and projects is to check the Elastic Blog or follow their official social media channels for updates. I recommend that you wait for the official announcements from Elastic if you are interested in their upcoming projects.

[ltz911]

Where does Jenkins put all its pipeline logs on default?

[flows-network-integration[bot]]

By default, Jenkins stores the pipeline logs in its local file system under the jobs/[job_name]/builds/[build_number]/log file. The [job_name] denotes the Jenkins job name while the [build_number] is the build number of the particular job instance. This is for the case where the logs are not redirected to any external log storage and the default Jenkins log rotation policy applies.

However, Jenkins also provides the ability to redirect pipeline logs to external log storage systems like Elasticsearch, Logstash or Splunk where logs can be analyzed, indexed and queried in a more organized and scalable way. In such cases, the pipeline logs are stored in the external log storage system and accessible via the log viewer interface provided by the log storage system, and no longer stored in the local file system of Jenkins.

[ltz911]

How do you redirect pipeline logs to Elasticsearch or Logstash?

[flows-network-integration[bot]]

To redirect pipeline logs to Elasticsearch or Logstash, you can use the Jenkins plugin called Logstash Plugin.

Here are the steps to follow:

1. Install the Logstash Plugin in the Jenkins instance. This can be done from the Jenkins Plugin Manager.
2. Configure Logstash or Elasticsearch credentials in Jenkins for authentication purposes.
3. In your pipeline script, use the Logstash plugin with its pipeline step called logstash to redirect logs to Logstash or Elasticsearch.

Here is an example pipeline script that redirects logs to Logstash:

pipeline {
    agent any

    stages {
        stage('Build') {
            steps {
                // Run build commands
            }
        }
    }

    post {
        always {
            logstash {
                host 'logstash.example.com'
                port 5044
                ssl true
                message 'Build complete!'
            }
        }
    }
}

In this example, the logstash step is used in the post-build stage to send logs to the Logstash server at logstash.example.com using the SSL protocol on port 5044. The message "Build complete!" is sent as a log message.

Similarly, you can also use the Elasticsearch plugin to redirect pipeline logs to Elasticsearch.

[ltz911]

How do you configure Logstash or Elasticsearch credentials in Jenkins? And show me the way to use the Elasticsearch plugin to redirect pipeline logs to Elasticsearch.

[flows-network-integration[bot]]

To configure Logstash or Elasticsearch credentials in Jenkins, you can follow these steps:

1. Go to Jenkins dashboard and click on "Manage Jenkins" -> "Configure System".

2. Scroll down to the "Elasticsearch" section and fill in the necessary information:

   • "Elasticsearch URL": This is the URL where your Elasticsearch instance is running.
   • "Credentials": If your Elasticsearch instance requires authentication, enter the username and password in this section.

3. If you are using Logstash, scroll down to the "Logstash" section and fill in the necessary information:

   • "Logstash URL": This is the URL where your Logstash instance is running.
   • "Credentials": If your Logstash instance requires authentication, enter the username and password in this section.

4. Click "Save" to save the configuration.

To use the Elasticsearch plugin to redirect pipeline logs to Elasticsearch, you can follow these steps:

1. Install the Elasticsearch plugin in Jenkins by going to "Manage Jenkins" -> "Manage Plugins" and searching for "Elasticsearch Plugin".

2. Once installed, go to your pipeline script and add the following code:

pipeline {
   agent any
   stages {
      stage('Example') {
         steps {
            // Some steps here
         }
      }
   }
   post {
      always {
         elasticsearchSendBuildData(
            url: '<elasticsearch URL>',
            messageBody: '''
            {
                "status": "${currentBuild.currentResult}",
                "job": "${env.JOB_NAME}",
                "timestamp": "${currentBuild.timeInMillis}",
                "build_number": "${currentBuild.number}",
                "logs": "${escapeshell(env.BUILD_LOG)}"
            }
            '''
         )
      }
   }
}

In the elasticsearchSendBuildData function, replace <elasticsearch URL> with your Elasticsearch URL.

3. When the pipeline runs, the logs will be sent to Elasticsearch and can be viewed in the Kibana interface.

[ltz911]

以下代码的作用是什么？ emit_prefix(const string& prog_name, ostream& out) { if (!prog_name.empty()) out << prog_name << ": "; return out; } if (opts.verbose) emit_prefix("abipkgdfiff", cerr)

[flows-network-integration[bot]]

这段代码的作用是在程序的输出信息前输出程序的名称，并且仅在opts.verbose为true时才会被执行。如果opts.verbose为false，则程序名称不会被输出，直接执行后面的语句。此处的emit_prefix函数接受两个参数，第一个是程序名称（如果有的话），第二个是输出流。函数首先会判断程序名称是否非空，如果是，则将该名称和一个冒号输出到输出流中，最后将输出流返回。

[ltz911]

请用python实现，也可以调用yum命令，“比对新旧2个rpm包的spec文件中的版本号，若新包版本低于旧包则报错。”

[flows-network-integration[bot]]

以下是一个用Python调用yum命令，并比较新旧RPM包中spec文件版本的程序：

import subprocess

# 获取新版本rpm包的spec文件中的版本号
def get_spec_version(rpm_file):
    cmd = f"rpm -q --qf '%{{VERSION}}' -p {rpm_file}"
    process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
    out, _ = process.communicate()
    if process.returncode == 0:
        return out.decode().strip()
    else:
        raise Exception(f"获取rpm包{rpm_file}的spec文件版本号失败")

# 比较新旧rpm包中的spec文件版本
def compare_rpm_spec(old_rpm_file, new_rpm_file):
    old_version = get_spec_version(old_rpm_file)
    new_version = get_spec_version(new_rpm_file)
    if old_version > new_version:
        raise Exception(f"{new_rpm_file}的版本号低于{old_rpm_file}")
    else:
        print(f"{new_rpm_file}的版本号高于等于{old_rpm_file}")

# 例子
compare_rpm_spec("old_package.rpm", "new_package.rpm")

需要注意的是，此程序只在Linux系统下可用，因为它调用了rpm命令，而这是一个Linux下的软件包管理工具。在安装Python的系统上可能需要先安装rpm软件包。

[ltz911]

用python写一个远程服务状态探察功能，可获取远程服务的响应时间。

[flows-network-integration[bot]]

你可以使用Python的ping模块来实现远程服务状态探察，以下是一个简单的代码示例：

import ping3

remote_host = "www.google.com"
response_time = ping3.ping(remote_host)

if response_time is not None:
    print(f"Remote host {remote_host} is up, response time is {response_time} ms.")
else:
    print(f"Remote host {remote_host} is down.")

这段代码使用了ping3模块，它可以非常方便地实现ping命令的功能。首先，我们定义了一个远程主机的地址。然后，使用ping3.ping函数来探察该主机的响应时间。如果响应时间不为None，说明主机处于运行状态，我们可以输出响应时间；否则，说明主机不可达。

如果你需要探察多个远程主机的状态，可以借助循环语句来实现。例如：

import ping3

remote_hosts = ["www.google.com", "www.github.com", "www.baidu.com"]

for remote_host in remote_hosts:
    response_time = ping3.ping(remote_host)

    if response_time is not None:
        print(f"Remote host {remote_host} is up, response time is {response_time} ms.")
    else:
        print(f"Remote host {remote_host} is down.")

这段代码与前面的示例类似，不同的是我们使用了一个列表来存储多个远程主机的地址，然后通过循环依次探察每个主机的状态。

[ltz911]

Windows环境如何用Powershell探测192.168.1.0/24网段存在哪些ip？

[flows-network-integration[bot]]

你可以使用PowerShell中的Test-Connection命令来实现探测192.168.1.0/24网段中存在哪些IP地址。以下是一个简单的代码示例：

$subnet = "192.168.1."
for($i = 0; $i -lt 256; $i++){
    $ip = $subnet + $i
    if(Test-Connection $ip -Count 1 -Quiet){
        Write-Host "$ip is up"
    }
}

这段代码首先定义了一个子网地址为"192.168.1."，然后使用for循环对子网中的所有IP地址进行遍历。在循环的每一次迭代中，我们将子网地址和循环迭代变量$i拼接起来，得到当前要探测的IP地址。然后，使用Test-Connection命令来测试这个IP地址是否可达。如果IP地址可达，就输出一条信息表示该IP地址是活动的。

需要注意的是，Test-Connection命令默认会尝试向指定的IP地址发起4个ping请求。在这个示例中，我们使用了-Count 1选项来指定只发起1个ping请求，这样可以加快探测速度。同时，我们还使用了-Quiet选项来使Test-Connection命令在测试完成后返回一个布尔值，而不是在屏幕上输出ping结果。这样可以避免输出太多无用信息。

[ltz911]

实现远程服务状态探察，以下是

这段代码只能探知主机是否可达，我需要的是某个远程服务的响应状态与时间，请以web服务为例（80端口）。

[flows-network-integration[bot]]

要探测远程Web服务的响应状态与时间，可以在Python中使用requests库。以下是一个示例代码：

import requests

remote_url = "http://www.example.com"
timeout = 5   # 设置请求超时时间为5秒

try:
    response = requests.get(remote_url, timeout=timeout)
    status_code = response.status_code
    elapsed_time = response.elapsed.total_seconds() * 1000   # 转换为毫秒
    print(f"Remote service {remote_url} is up, response time is {elapsed_time} ms.")
except (requests.ConnectionError, requests.Timeout):
    print(f"Remote service {remote_url} is down.")

这段代码向远程URL地址发起一个GET请求，获取响应状态码和消耗的时间。如果请求成功，则输出响应时间和状态信息；否则，输出服务不可用的信息。

需要注意的是，我们使用了timeout参数指定了请求的超时时间，这可以避免长时间等待响应而卡死程序。同时，我们还捕获了requests.ConnectionError和requests.Timeout异常，这可以帮助我们在请求出错时及时捕捉错误信息。

[flows-network-integration[bot]]

可以使用以下正则表达式来判断：

String regex = "^uos/(?!kernel).*";

详解：

• ^ 表示字符串的开头
• uos/ 匹配以 "uos/" 开头的字符串
• (?!kernel) 使用负向前瞻，表示后面不能出现 "kernel"
• .* 匹配除换行外的任意字符，出现零次或多次

示例代码：

public class RegularExpressionDemo {
    public static void main(String[] args) {
        String str1 = "uos/test";      // match
        String str2 = "uos/kernel";    // not match
        String str3 = "uos/abc/def";   // match
        String str4 = "other/uos/xyz"; // not match

        String regex = "^uos/(?!kernel).*";

        System.out.println(str1.matches(regex)); // true
        System.out.println(str2.matches(regex)); // false
        System.out.println(str3.matches(regex)); // true
        System.out.println(str4.matches(regex)); // false
    }
}

[ltz911]

如何用java正则表达式判断以“uos/”或“openstack/”开头的、但不包括“uos/kernel”的、字符串？

[flows-network-integration[bot]]

可以使用以下正则表达式来判断：

String regex = "^(uos|openstack)/(?!kernel).*";

详解：

• ^ 表示字符串的开头
• (uos|openstack)/ 匹配以 "uos/" 或 "openstack/" 开头的字符串
• (?!kernel) 使用负向前瞻，表示后面不能出现 "kernel"
• .* 匹配除换行外的任意字符，出现零次或多次

示例代码：

public class RegularExpressionDemo {
    public static void main(String[] args) {
        String str1 = "uos/test";          // match
        String str2 = "openstack/demo";    // match
        String str3 = "uos/kernel";        // not match
        String str4 = "other/uos/xyz";     // not match
        String str5 = "openstack/kernel";  // not match

        String regex = "^(uos|openstack)/(?!kernel).*";

        System.out.println(str1.matches(regex)); // true
        System.out.println(str2.matches(regex)); // true
        System.out.println(str3.matches(regex)); // false
        System.out.println(str4.matches(regex)); // false
        System.out.println(str5.matches(regex)); // false
    }
}

[flows-network-integration[bot]]

可以使用以下正则表达式来判断：

String regex = "^uos/(?!kernel).*";

详解：

• ^ 表示字符串的开头
• uos/ 匹配以 "uos/" 开头的字符串
• (?!kernel) 使用负向前瞻，表示后面不能出现 "kernel"
• .* 匹配除换行外的任意字符，出现零次或多次

示例代码：

public class RegularExpressionDemo {
    public static void main(String[] args) {
        String str1 = "uos/test";      // match
        String str2 = "uos/kernel";    // not match
        String str3 = "uos/abc/def";   // match
        String str4 = "other/uos/xyz"; // not match

        String regex = "^uos/(?!kernel).*";

        System.out.println(str1.matches(regex)); // true
        System.out.println(str2.matches(regex)); // false
        System.out.println(str3.matches(regex)); // true
        System.out.println(str4.matches(regex)); // false
    }
}

[ltz911]

如何用java正则表达式判断以“uos/”或“openstack/openstack”开头的、但不包括“uos/kernel”的、字符串？

[flows-network-integration[bot]]

可以使用以下的正则表达式来判断：

^(uos\\/|openstack\\/openstack\\/)(?!kernel).*$

解释如下：

• ^：表示匹配字符串开始的位置。
• (uos\\/|openstack\\/openstack\\/)：表示匹配以 "uos/" 或 "openstack/openstack/" 开头的字符串。
• (?!kernel)：表示后面跟着的字符串不能包含 "kernel"。
• .*：表示匹配任意数量的字符。
• $：表示匹配字符串结尾的位置。

以下是一个示例代码：

import java.util.regex.Matcher;
import java.util.regex.Pattern;

public class RegexDemo {
    public static void main(String[] args) {
        String str1 = "uos/test";
        String str2 = "openstack/openstack/test";
        String str3 = "uos/kernel/test";
        String str4 = "openstack/kernel/test";
        String pattern = "^(uos\\/|openstack\\/openstack\\/)(?!kernel).*$";
        Pattern p = Pattern.compile(pattern);
        Matcher m1 = p.matcher(str1);
        Matcher m2 = p.matcher(str2);
        Matcher m3 = p.matcher(str3);
        Matcher m4 = p.matcher(str4);
        System.out.println(str1 + ": " + m1.matches());
        System.out.println(str2 + ": " + m2.matches());
        System.out.println(str3 + ": " + m3.matches());
        System.out.println(str4 + ": " + m4.matches());
    }
}

输出结果：

uos/test: true
openstack/openstack/test: true
uos/kernel/test: false
openstack/kernel/test: false

[ltz911]

如何用java正则表达式判断以“uos/”或“openstack/openstack”开头的、但不包括“uos/kernel”的字符串？要求字符串为uos/test或openstack/openstack-1a时返回true，字符串为uos/kernel-x或openstack时返回false。

[flows-network-integration[bot]]

可以使用以下的正则表达式来判断：

^(uos\\/|openstack\\/openstack-)(?!kernel).*$

解释如下：

• ^：表示匹配字符串开始的位置。
• (uos\\/|openstack\\/openstack-)：表示匹配以 "uos/" 或 "openstack/openstack-" 开头的字符串。
• (?!kernel)：表示后面跟着的字符串不能包含 "kernel"。
• .*：表示匹配任意数量的字符。
• $：表示匹配字符串结尾的位置。

以下是一个示例代码：

import java.util.regex.Matcher;
import java.util.regex.Pattern;

public class RegexDemo {
    public static void main(String[] args) {
        String str1 = "uos/test";
        String str2 = "openstack/openstack-1a";
        String str3 = "uos/kernel-x";
        String str4 = "openstack";
        String pattern = "^(uos\\/|openstack\\/openstack-)(?!kernel).*$";
        Pattern p = Pattern.compile(pattern);
        Matcher m1 = p.matcher(str1);
        Matcher m2 = p.matcher(str2);
        Matcher m3 = p.matcher(str3);
        Matcher m4 = p.matcher(str4);
        System.out.println(str1 + ": " + m1.matches());
        System.out.println(str2 + ": " + m2.matches());
        System.out.println(str3 + ": " + m3.matches());
        System.out.println(str4 + ": " + m4.matches());
    }
}

输出结果：

uos/test: true
openstack/openstack-1a: true
uos/kernel-x: false
openstack: false

[ltz911]

子宫腺肌症目前有没有子宫摘除术之外的治疗方法？有哪些被证明有效的、不影响生育的药品？

[flows-network-integration[bot]]

目前，子宫腺肌症的治疗方法除了手术外，还包括药物治疗和其他辅助疗法。

药物治疗主要是以调节激素水平来缓解症状。以下是一些常用的药物：

1.口服避孕药：常用于减轻月经痛和调节月经周期，但不适用于所有患者。

2.黄体酮：适用于治疗周期性疼痛和月经不规律。

3.促性腺激素拮抗剂：通过抑制体内激素的生成来缓解症状，但副作用较大，不适用于长期使用。

此外，一些辅助疗法，如针灸、理疗等，也可以缓解症状。

需要注意的是，子宫腺肌症的治疗因人而异，针对个体情况制定治疗计划是非常重要的。如果您是患者，应该咨询专业医生，根据医生建议进行合理治疗。

[ltz911]

使用C代码简单展示如何使用红黑树

[flows-network-integration[bot]]

下面是一个简单的示例程序，展示了如何使用C语言实现红黑树：

#include <stdio.h>
#include <stdlib.h>

// 定义红黑树结构体
typedef struct node {
    int key;  // 键值
    char color;  // 结点颜色
    struct node *left;  // 左孩子结点
    struct node *right;  // 右孩子结点
    struct node *parent;  // 父结点
} Node;

// 定义红黑树结构体
typedef struct {
    Node *root;  // 根结点
    Node *nil;  // 哨兵结点NIL
} RBTree;

// 初始化红黑树
void RBTreeInit(RBTree *tree) {
    // 分配哨兵结点NIL的空间
    tree->nil = (Node*) malloc(sizeof(Node));
    tree->nil->color = 'b';  // 哨兵结点颜色为黑色
    tree->root = tree->nil;  // 初始根结点为NIL
}

// 左旋操作
void RotateLeft(RBTree *tree, Node *x) {
    // 获取结点y，并将y的左子树作为x的右子树
    Node *y = x->right;
    x->right = y->left;

    // 修改y的父结点
    if (y->left != tree->nil) {
        y->left->parent = x;
    }
    y->parent = x->parent;

    // 修改x的父结点及替换位置
    if (x->parent == tree->nil) {
        tree->root = y;
    } else if (x == x->parent->left) {
        x->parent->left = y;
    } else {
        x->parent->right = y;
    }
    y->left = x;
    x->parent = y;
}

// 右旋操作
void RotateRight(RBTree *tree, Node *x) {
    // 获取结点y，并将y的右子树作为x的左子树
    Node *y = x->left;
    x->left = y->right;

    // 修改y的父结点
    if (y->right != tree->nil) {
        y->right->parent = x;
    }
    y->parent = x->parent;

    // 修改x的父结点及替换位置
    if (x->parent == tree->nil) {
        tree->root = y;
    } else if (x == x->parent->left) {
        x->parent->left = y;
    } else {
        x->parent->right = y;
    }
    y->right = x;
    x->parent = y;
}

// 插入结点操作
void RBTreeInsert(RBTree *tree, Node *z) {
    Node *y = tree->nil;
    Node *x = tree->root;

    // 找到插入位置
    while (x != tree->nil) {
        y = x;
        if (z->key < x->key) {
            x = x->left;
        } else {
            x = x->right;
        }
    }

    // 设置父结点及孩子结点
    z->parent = y;
    if (y == tree->nil) {
        tree->root = z;
    } else if (z->key < y->key) {
        y->left = z;
    } else {
        y->right = z;
    }

    // 设置颜色为红色
    z->left = tree->nil;
    z->right = tree->nil;
    z->color = 'r';

    // 维护红黑树性质
    while (z->parent->color == 'r') {
        if (z->parent == z->parent->parent->left) {
            Node *y = z->parent->parent->right;
            if (y->color == 'r') {
                // CASE 1: 叔结点也是红色
                z->parent->color = 'b';
                y->color = 'b';
                z->parent->parent->color = 'r';
                z = z->parent->parent;
            } else {
                if (z == z->parent->right) {
                    // CASE 2: 叔结点是黑色，且当前结点是右孩子
                    z = z->parent;
                    RotateLeft(tree, z);
                }
                // CASE 3: 叔结点是黑色，且当前结点是左孩子
                z->parent->color = 'b';
                z->parent->parent->color = 'r';
                RotateRight(tree, z->parent->parent);
            }
        } else {
            Node *y = z->parent->parent->left;
            if (y->color == 'r') {
                // CASE 1: 叔结点也是红色
                z->parent->color = 'b';
                y->color = 'b';
                z->parent->parent->color = 'r';
                z = z->parent->parent;
            } else {
                if (z == z->parent->left) {
                    // CASE 2: 叔结点是黑色，且当前结点是左孩子
                    z = z->parent;
                    RotateRight(tree, z);
                }
                // CASE 3: 叔结点是黑色，且当前结点是右孩子
                z->parent->color = 'b';
                z->parent->parent->color = 'r';
                RotateLeft(tree, z->parent->parent);
            }
        }
    }
    tree->root->color = 'b';
}

// 中序遍历红黑树并打印
void InorderTreeWalk(Node *x) {
    if (x != NULL) {
        InorderTreeWalk(x->left);
        printf("%d ", x->key);
        InorderTreeWalk(x->right);
    }
}

int main() {
    int n, num;
    RBTree tree;
    RBTreeInit(&tree);
    printf("请输入要插入的结点数量：");
    scanf("%d", &n);
    printf("请输入要插入的结点的键值：\n");
    for (int i = 0; i < n; i++) {
        scanf("%d", &num);
        Node *z = (Node*) malloc(sizeof(Node));
        z->key = num;
        RBTreeInsert(&tree, z);
    }
    printf("红黑树中序遍历所得的键值序列为：");
    InorderTreeWalk(tree.root);
    printf("\n");
    return 0;
}

这个程序可以初始化一个红黑树，同时支持向其中插入结点，并打印遍历结果。你可以在控制台中输入要插入的结点数量和键值，程序会自动将这些结点插入红黑树中，并按照中序遍历的顺序输出键值序列。