Elasticsearch数据搜索与分析实战

Elasticsearch数据搜索与分析实战
分享
扫描下方二维码分享到微信
打开微信,点击右上角”+“,
使用”扫一扫“即可将网页分享到朋友圈。
作者:
2023-04
版次: 1
ISBN: 9787115603654
定价: 99.80
装帧: 平装
开本: 其他
纸张: 胶版纸
页数: 379页
字数: 506千字
5人买过
  • 本书从Elasticsearch的功能和业务场景开始介绍,逐步深入讲解Elasticsearch在数据搜索和数据分析领域的实战应用,并详细介绍Elasticsearch的Java高级客户端编程方法和整个Elastic Stack技术生态体系。
       本书共12章,第1章讲述Elasticsearch的业务场景和安装配置;第2章讲述Elasticsearch内部实现的各种原理;第3章讲述Elasticsearch索引的使用方法;第4章讲述文本分析的过程和文本分析器的使用;第5章讲述Elasticsearch支持的各种搜索方式;第6章讲述使用聚集统计进行数据分析的方法;第7章讲述索引之间存在父子关系时的解决方法;第8章讲述Elasticsearch的Java高级客户端编程方法;第9章讲述Elasticsearch集群的搭建、优化、备份方法;第10~12章讲述Elastic Stack各组件的配合使用。
       本书内容通俗易懂,易于学习,既讲理论原理又侧重介绍开发实战,很适合Java后端开发工程师、大数据开发工程师、Elasticsearch技术讲师和学员及搜索引擎技术的爱好者阅读。另外,本书也可以作为培训机构的教材,用来指导Elasticsearch新手的入门学习。 武汉大学计算机硕士,长期专注于Java后端开发,擅长领域为微服务、全文检索和大数据分析。目前供职于中国科学院下某研究所担任高级研发工程师,长期在一线担任开发职位,项目经验丰富,热衷于开源事业,乐于做技术分享和交流。 原理篇

    第 1章 快速入门                                                     03

    1 1 Elasticsearch简介                                               03

    1 2 Elasticsearch的典型接入方式                             04

    1 2 1 将Elasticsearch作为数据源                             04

    1 2 2 给已有系统添加Elasticsearch                           05

    1 2 3 使用Elastic Stack                                             05

    1 3 专有名词解释                                                        06

    1 4 安装Elasticsearch 7 9 1                                      08

    1 5 安装Kibana调试Elasticsearch                          09

    1 6 Elasticsearch节点的重要配置                             11

    1 6 1 集群节点的配置方法和优先级                           12

    1 6 2 elasticsearch yml的重要配置                            13

    1 6 3 配置JVM的堆内存大小                                    15

    1 7 本章小结                                                               16

    第 2章 深入原理                                                     17

    2 1 搜索引擎的基本原理                                              17

    2 2 Elasticsearch集群的形成机制                             19

    2 2 1 集群节点的发现、选举和引导过程                    20

    2 2 2 集群状态的发布过程                                          20

    2 3 索引分片的分配机制                                              21

    2 3 1 分片的分配                                                        21

    2 3 2 分片分配的过程                                                 22

    2 3 3 分片分配的感知                                                 25

    2 3 4 分片分配的过滤                                                 27

    2 4 索引分片的恢复机制                                              28

    2 4 1 分片的恢复                                                        29

    2 4 2 分片恢复的过程                                                 29

    2 4 3 减少不必要的分片恢复                                      32

    2 5 索引数据的写入过程                                              33

    2 6 索引数据的搜索过程                                              35

    2 7 本章小结                                                               36

    应用篇

    第3章 索引数据                                                     41

    3 1 使用映射定义索引结构                                          41

    3 1 1 映射的概念和使用                                             41

    3 1 2 映射支持的常规字段类型                                   43

    3 1 3 忽略映射中不合法的数据                                   48

    3 1 4 字段复制和字段存储                                          51

    3 1 5 动态映射                                                            54

    3 2 索引中数据的增删改查                                          60

    3 2 1 使用REST端点对索引映射中的数据进行增删改查                                                    61

    3 2 2 使用乐观锁进行并发控制                                   63

    3 2 3 索引数据的批量写入                                          65

    3 3 索引数据的路由规则                                              68

    3 3 1 索引数据路由的原理                                          69

    3 3 2 使用自定义路由分发数据                                   69

    3 4 索引的别名                                                            73

    3 4 1 别名的创建和删除                                             73

    3 4 2 别名配合数据过滤                                             74

    3 4 3 别名配合数据路由                                             76

    3 5 滚动索引                                                               77

    3 6 索引的状态管理                                                     80

    3 6 1 清空缓存                                                            80

    3 6 2 刷新索引                                                            81

    3 6 3 冲洗索引                                                            81

    3 6 4 强制合并                                                            82

    3 6 5 关闭索引                                                            82

    3 6 6 冻结索引                                                            83

    3 7 索引的块                                                               83

    3 8 索引模板                                                               84

    3 8 1 使用索引模板定制索引结构                               84

    3 8 2 使用模板组件简化模板配置                               88

    3 9 索引的监控                                                            90

    3 9 1 监控索引的健康状态                                          90

    3 9 2 监控索引分片的段数据                                      91

    3 9 3 监控索引分片的分配                                          93

    3 9 4 监控索引分片的恢复                                          93

    3 9 5 监控索引的统计指标                                          95

    3 10 控制索引分片的分配                                            97

    3 11 本章小结                                                              98

    第4章 文本分析                                                     99

    4 1 文本分析的原理                                                     99

    4 2 使用内置的分析器分析文本                                 100

    4 2 1 标准分析器                                                      100

    4 2 2 简单分析器                                                      105

    4 2 3 空格分析器                                                      106

    4 3 使用IK分词器分析文本                                      108

    4 3 1 安装IK分词器                                                 108

    4 3 2 在索引中使用IK分词器                                   108

    4 4 自定义文本分析器分析文本                                 112

    4 4 1 字符过滤器                                                       112

    4 4 2 分词器                                                              115

    4 4 3 分词过滤器                                                       119

    4 4 4 给索引添加自定义分析器                                 124

    4 5 查看文档的词条向量                                            127

    4 6 keyword类型字段的标准化                                131

    4 7 本章小结                                                             134

    第5章 搜索数据                                                   135

    5 1 精准级查询                                                          136

    5 1 1 术语查询                                                          136

    5 1 2 多术语查询                                                      137

    5 1 3 主键查询                                                          139

    5 1 4 范围查询                                                          140

    5 1 5 存在查询                                                          142

    5 1 6 前缀查询                                                          143

    5 1 7 正则查询                                                          145

    5 1 8 通配符查询                                                      146

    5 2 全文检索                                                             147

    5 2 1 匹配搜索                                                          148

    5 2 2 布尔前缀匹配搜索                                           150

    5 2 3 短语搜索                                                          151

    5 2 4 短语前缀匹配搜索                                           152

    5 2 5 多字段匹配搜索                                               152

    5 2 6 查询字符串搜索                                               153

    5 3 经纬度搜索                                                          156

    5 3 1 圆形搜索                                                          156

    5 3 2 矩形搜索                                                          158

    5 3 3 多边形搜索                                                      160

    5 4 复合搜索                                                             161

    5 4 1 布尔查询                                                          161

    5 4 2 常量得分查询                                                   164

    5 4 3 析取最大查询                                                   165

    5 4 4 相关度增强查询                                               166

    5 5 搜索结果的总数                                                   166

    5 6 搜索结果的分页                                                   167

    5 6 1 普通分页                                                          168

    5 6 2 滚动分页                                                          168

    5 6 3 Search after分页                                            169

    5 7 搜索结果的排序                                                   171

    5 8 筛选搜索结果返回的字段                                    172

    5 9 高亮搜索结果中的关键词                                    174

    5 10 折叠搜索结果                                                    175

    5 11 解释搜索结果                                                    180

    5 12 本章小结                                                           181

    第6章 聚集统计                                                   183

    6 1 度量聚集                                                             183

    6 1 1 平均值聚集                                                      184

    6 1 2 最大值和最小值聚集                                        185

    6 1 3 求和聚集                                                          186

    6 1 4 统计聚集                                                          186

    6 1 5 基数聚集                                                          187

    6 1 6 百分比聚集                                                      188

    6 1 7 百分比等级聚集                                               190

    6 1 8 头部命中聚集                                                   191

    6 1 9 矩阵统计聚集                                                   192

    6 2 桶聚集                                                                 194

    6 2 1 词条聚集                                                          194

    6 2 2 范围聚集                                                          198

    6 2 3 日期范围聚集                                                   200

    6 2 4 直方图聚集                                                      202

    6 2 5 日期直方图聚集                                               204

    6 2 6 缺失聚集                                                          207

    6 2 7 过滤器聚集                                                      208

    6 2 8 多过滤器聚集                                                   209

    6 3 管道聚集                                                             210

    6 3 1 平均桶聚集                                                       211

    6 3 2 求和桶聚集                                                      212

    6 3 3 最大桶和最小桶聚集                                        214

    6 3 4 累计求和桶聚集                                               216

    6 3 5 差值聚集                                                          217

    6 4 使用fielddata聚集text字段                              219

    6 5 使用全局有序编号加快聚集速度                          221

    6 6 给聚集请求添加后过滤器                                    222

    6 7 本章小结                                                             224

    第7章 父子关联                                                   226

    7 1 使用对象数组存在的问题                                    226

    7 2 嵌套对象                                                             229

    7 2 1 在索引中使用嵌套对象                                    229

    7 2 2 嵌套对象的搜索                                               231

    7 2 3 嵌套对象的聚集                                               236

    7 3 join字段                                                             240

    7 3 1 在索引中使用join字段                                    240

    7 3 2 join字段的搜索                                                243

    7 3 3 join字段的聚集                                                248

    7 4 在应用层关联数据                                               253

    7 5 本章小结                                                             255

    第8章 Java高级客户端编程                              257

    8 1 开发前的准备                                                      257

    8 2 建立索引并写入数据                                            259

    8 2 1 创建映射                                                          259

    8 2 2 写入、修改、删除数据                                    263

    8 3 搜索数据                                                             267

    8 4 统计分析                                                             274

    8 5 为索引接入实时数据                                            278

    8 6 本章小结                                                             279

    第9章 集群扩展和性能优化                               280

    9 1 节点的角色类型                                                   280

    9 2 在CentOS 7上搭建Elasticsearch集群           282

    9 2 1 准备工作                                                          282

    9 2 2 安装集群                                                          284

    9 2 3 验证安装                                                          286

    9 3 推荐的集群配置                                                   288

    9 4 监控集群                                                             292

    9 4 1 监控集群的状态信息                                        292

    9 4 2 监控集群的健康状态                                        294

    9 4 3 监控集群节点的统计指标                                 295

    9 4 4 监控节点的热点线程                                        298

    9 4 5 查看慢搜索日志                                               298

    9 4 6 查看慢索引日志                                               299

    9 5 索引分片数的设置与横向扩容                             300

    9 6 优化索引的写入速度                                            303

    9 6 1 避免写入过大的文档                                        303

    9 6 2 合并写入请求                                                   304

    9 6 3 适当增大写入的线程数和索引缓冲区               307

    9 7 优化搜索的响应速度                                            307

    9 7 1 避免深度分页                                                   308

    9 7 2 合并搜索请求                                                   308

    9 7 3 使用缓存加快搜索速度                                     311

    9 7 4 控制搜索请求的路由                                        313

    9 8 集群的重启                                                          314

    9 8 1 全集群重启                                                      315

    9 8 2 滚动重启                                                          316

    9 9 集群的备份和恢复                                               317

    9 9 1 搭建共享文件目录                                           317

    9 9 2 备份集群数据                                                   319

    9 9 3 恢复集群数据                                                   322

    9 9 4 删除备份数据                                                   323

    9 9 5 自动化备份                                                      323

    9 10 远程集群                                                           325

    9 10 1 配置远程集群                                                 325

    9 10 2 搜索远程集群的数据                                      327

    9 11 本章小结                                                            328

    发散篇

    第 10章 Logstash:数据的源泉                            333

    10 1 Logstash的工作原理                                       333

    10 2 Logstash的安装和目录结构                            334

    10 3 Logstash的重要配置                                       335

    10 4 Logstash采集脚本的结构                                336

    10 5 实战举例的执行                                                 337

    10 5 1 采集Nginx日志数据到索引中                       338

    10 5 2 全量抽取表数据到索引中                               340

    10 5 3 增量抽取表数据到索引中                               345

    10 5 4 如何给敏感配置项加密                                  347

    10 6 本章小结                                                           347

    第 11章 Kibana:数据可视化利器                       349

    11 1 在CentOS 7上安装Kibana                             349

    11 2 用Kibana可视化管理数据                               350

    11 2 1 索引管理                                                        350

    11 2 2 快照备份和恢复管理                                      352

    11 2 3 远程集群管理                                                 357

    11 3 开发工具                                                            358

    11 3 1 REST端点控制台                                          358

    11 3 2 搜索调试器                                                    359

    11 3 3 Grok正则模式调试器                                    360

    11 4 数据可视化分析                                                 360

    11 4 1 Discover发现                                                360

    11 4 2 Visualize可视化组件                                     362

    11 4 3 Maps地图                                                     363

    11 4 4 Dashboard大屏仪表盘                                  364

    11 4 5 Canvas画布                                                  364

    11 4 6 查看样例数据                                                 365

    11 5 本章小结                                                            367

    第 12章 Beats家族:精细化数据采集                 368

    12 1 Beats家族在Elastic Stack中的职责              368

    12 2 Filebeat的安装和工作原理                               369

    12 3 filebeat yml的重要配置                                   370

    12 4 Filebeat采集Nginx日志到

    Elasticsearch中                                              372

    12 5 Filebeat采集日志到Logstash中                    375

    12 6 本章小结                                                           378
  • 内容简介:
    本书从Elasticsearch的功能和业务场景开始介绍,逐步深入讲解Elasticsearch在数据搜索和数据分析领域的实战应用,并详细介绍Elasticsearch的Java高级客户端编程方法和整个Elastic Stack技术生态体系。
       本书共12章,第1章讲述Elasticsearch的业务场景和安装配置;第2章讲述Elasticsearch内部实现的各种原理;第3章讲述Elasticsearch索引的使用方法;第4章讲述文本分析的过程和文本分析器的使用;第5章讲述Elasticsearch支持的各种搜索方式;第6章讲述使用聚集统计进行数据分析的方法;第7章讲述索引之间存在父子关系时的解决方法;第8章讲述Elasticsearch的Java高级客户端编程方法;第9章讲述Elasticsearch集群的搭建、优化、备份方法;第10~12章讲述Elastic Stack各组件的配合使用。
       本书内容通俗易懂,易于学习,既讲理论原理又侧重介绍开发实战,很适合Java后端开发工程师、大数据开发工程师、Elasticsearch技术讲师和学员及搜索引擎技术的爱好者阅读。另外,本书也可以作为培训机构的教材,用来指导Elasticsearch新手的入门学习。
  • 作者简介:
    武汉大学计算机硕士,长期专注于Java后端开发,擅长领域为微服务、全文检索和大数据分析。目前供职于中国科学院下某研究所担任高级研发工程师,长期在一线担任开发职位,项目经验丰富,热衷于开源事业,乐于做技术分享和交流。
  • 目录:
    原理篇

    第 1章 快速入门                                                     03

    1 1 Elasticsearch简介                                               03

    1 2 Elasticsearch的典型接入方式                             04

    1 2 1 将Elasticsearch作为数据源                             04

    1 2 2 给已有系统添加Elasticsearch                           05

    1 2 3 使用Elastic Stack                                             05

    1 3 专有名词解释                                                        06

    1 4 安装Elasticsearch 7 9 1                                      08

    1 5 安装Kibana调试Elasticsearch                          09

    1 6 Elasticsearch节点的重要配置                             11

    1 6 1 集群节点的配置方法和优先级                           12

    1 6 2 elasticsearch yml的重要配置                            13

    1 6 3 配置JVM的堆内存大小                                    15

    1 7 本章小结                                                               16

    第 2章 深入原理                                                     17

    2 1 搜索引擎的基本原理                                              17

    2 2 Elasticsearch集群的形成机制                             19

    2 2 1 集群节点的发现、选举和引导过程                    20

    2 2 2 集群状态的发布过程                                          20

    2 3 索引分片的分配机制                                              21

    2 3 1 分片的分配                                                        21

    2 3 2 分片分配的过程                                                 22

    2 3 3 分片分配的感知                                                 25

    2 3 4 分片分配的过滤                                                 27

    2 4 索引分片的恢复机制                                              28

    2 4 1 分片的恢复                                                        29

    2 4 2 分片恢复的过程                                                 29

    2 4 3 减少不必要的分片恢复                                      32

    2 5 索引数据的写入过程                                              33

    2 6 索引数据的搜索过程                                              35

    2 7 本章小结                                                               36

    应用篇

    第3章 索引数据                                                     41

    3 1 使用映射定义索引结构                                          41

    3 1 1 映射的概念和使用                                             41

    3 1 2 映射支持的常规字段类型                                   43

    3 1 3 忽略映射中不合法的数据                                   48

    3 1 4 字段复制和字段存储                                          51

    3 1 5 动态映射                                                            54

    3 2 索引中数据的增删改查                                          60

    3 2 1 使用REST端点对索引映射中的数据进行增删改查                                                    61

    3 2 2 使用乐观锁进行并发控制                                   63

    3 2 3 索引数据的批量写入                                          65

    3 3 索引数据的路由规则                                              68

    3 3 1 索引数据路由的原理                                          69

    3 3 2 使用自定义路由分发数据                                   69

    3 4 索引的别名                                                            73

    3 4 1 别名的创建和删除                                             73

    3 4 2 别名配合数据过滤                                             74

    3 4 3 别名配合数据路由                                             76

    3 5 滚动索引                                                               77

    3 6 索引的状态管理                                                     80

    3 6 1 清空缓存                                                            80

    3 6 2 刷新索引                                                            81

    3 6 3 冲洗索引                                                            81

    3 6 4 强制合并                                                            82

    3 6 5 关闭索引                                                            82

    3 6 6 冻结索引                                                            83

    3 7 索引的块                                                               83

    3 8 索引模板                                                               84

    3 8 1 使用索引模板定制索引结构                               84

    3 8 2 使用模板组件简化模板配置                               88

    3 9 索引的监控                                                            90

    3 9 1 监控索引的健康状态                                          90

    3 9 2 监控索引分片的段数据                                      91

    3 9 3 监控索引分片的分配                                          93

    3 9 4 监控索引分片的恢复                                          93

    3 9 5 监控索引的统计指标                                          95

    3 10 控制索引分片的分配                                            97

    3 11 本章小结                                                              98

    第4章 文本分析                                                     99

    4 1 文本分析的原理                                                     99

    4 2 使用内置的分析器分析文本                                 100

    4 2 1 标准分析器                                                      100

    4 2 2 简单分析器                                                      105

    4 2 3 空格分析器                                                      106

    4 3 使用IK分词器分析文本                                      108

    4 3 1 安装IK分词器                                                 108

    4 3 2 在索引中使用IK分词器                                   108

    4 4 自定义文本分析器分析文本                                 112

    4 4 1 字符过滤器                                                       112

    4 4 2 分词器                                                              115

    4 4 3 分词过滤器                                                       119

    4 4 4 给索引添加自定义分析器                                 124

    4 5 查看文档的词条向量                                            127

    4 6 keyword类型字段的标准化                                131

    4 7 本章小结                                                             134

    第5章 搜索数据                                                   135

    5 1 精准级查询                                                          136

    5 1 1 术语查询                                                          136

    5 1 2 多术语查询                                                      137

    5 1 3 主键查询                                                          139

    5 1 4 范围查询                                                          140

    5 1 5 存在查询                                                          142

    5 1 6 前缀查询                                                          143

    5 1 7 正则查询                                                          145

    5 1 8 通配符查询                                                      146

    5 2 全文检索                                                             147

    5 2 1 匹配搜索                                                          148

    5 2 2 布尔前缀匹配搜索                                           150

    5 2 3 短语搜索                                                          151

    5 2 4 短语前缀匹配搜索                                           152

    5 2 5 多字段匹配搜索                                               152

    5 2 6 查询字符串搜索                                               153

    5 3 经纬度搜索                                                          156

    5 3 1 圆形搜索                                                          156

    5 3 2 矩形搜索                                                          158

    5 3 3 多边形搜索                                                      160

    5 4 复合搜索                                                             161

    5 4 1 布尔查询                                                          161

    5 4 2 常量得分查询                                                   164

    5 4 3 析取最大查询                                                   165

    5 4 4 相关度增强查询                                               166

    5 5 搜索结果的总数                                                   166

    5 6 搜索结果的分页                                                   167

    5 6 1 普通分页                                                          168

    5 6 2 滚动分页                                                          168

    5 6 3 Search after分页                                            169

    5 7 搜索结果的排序                                                   171

    5 8 筛选搜索结果返回的字段                                    172

    5 9 高亮搜索结果中的关键词                                    174

    5 10 折叠搜索结果                                                    175

    5 11 解释搜索结果                                                    180

    5 12 本章小结                                                           181

    第6章 聚集统计                                                   183

    6 1 度量聚集                                                             183

    6 1 1 平均值聚集                                                      184

    6 1 2 最大值和最小值聚集                                        185

    6 1 3 求和聚集                                                          186

    6 1 4 统计聚集                                                          186

    6 1 5 基数聚集                                                          187

    6 1 6 百分比聚集                                                      188

    6 1 7 百分比等级聚集                                               190

    6 1 8 头部命中聚集                                                   191

    6 1 9 矩阵统计聚集                                                   192

    6 2 桶聚集                                                                 194

    6 2 1 词条聚集                                                          194

    6 2 2 范围聚集                                                          198

    6 2 3 日期范围聚集                                                   200

    6 2 4 直方图聚集                                                      202

    6 2 5 日期直方图聚集                                               204

    6 2 6 缺失聚集                                                          207

    6 2 7 过滤器聚集                                                      208

    6 2 8 多过滤器聚集                                                   209

    6 3 管道聚集                                                             210

    6 3 1 平均桶聚集                                                       211

    6 3 2 求和桶聚集                                                      212

    6 3 3 最大桶和最小桶聚集                                        214

    6 3 4 累计求和桶聚集                                               216

    6 3 5 差值聚集                                                          217

    6 4 使用fielddata聚集text字段                              219

    6 5 使用全局有序编号加快聚集速度                          221

    6 6 给聚集请求添加后过滤器                                    222

    6 7 本章小结                                                             224

    第7章 父子关联                                                   226

    7 1 使用对象数组存在的问题                                    226

    7 2 嵌套对象                                                             229

    7 2 1 在索引中使用嵌套对象                                    229

    7 2 2 嵌套对象的搜索                                               231

    7 2 3 嵌套对象的聚集                                               236

    7 3 join字段                                                             240

    7 3 1 在索引中使用join字段                                    240

    7 3 2 join字段的搜索                                                243

    7 3 3 join字段的聚集                                                248

    7 4 在应用层关联数据                                               253

    7 5 本章小结                                                             255

    第8章 Java高级客户端编程                              257

    8 1 开发前的准备                                                      257

    8 2 建立索引并写入数据                                            259

    8 2 1 创建映射                                                          259

    8 2 2 写入、修改、删除数据                                    263

    8 3 搜索数据                                                             267

    8 4 统计分析                                                             274

    8 5 为索引接入实时数据                                            278

    8 6 本章小结                                                             279

    第9章 集群扩展和性能优化                               280

    9 1 节点的角色类型                                                   280

    9 2 在CentOS 7上搭建Elasticsearch集群           282

    9 2 1 准备工作                                                          282

    9 2 2 安装集群                                                          284

    9 2 3 验证安装                                                          286

    9 3 推荐的集群配置                                                   288

    9 4 监控集群                                                             292

    9 4 1 监控集群的状态信息                                        292

    9 4 2 监控集群的健康状态                                        294

    9 4 3 监控集群节点的统计指标                                 295

    9 4 4 监控节点的热点线程                                        298

    9 4 5 查看慢搜索日志                                               298

    9 4 6 查看慢索引日志                                               299

    9 5 索引分片数的设置与横向扩容                             300

    9 6 优化索引的写入速度                                            303

    9 6 1 避免写入过大的文档                                        303

    9 6 2 合并写入请求                                                   304

    9 6 3 适当增大写入的线程数和索引缓冲区               307

    9 7 优化搜索的响应速度                                            307

    9 7 1 避免深度分页                                                   308

    9 7 2 合并搜索请求                                                   308

    9 7 3 使用缓存加快搜索速度                                     311

    9 7 4 控制搜索请求的路由                                        313

    9 8 集群的重启                                                          314

    9 8 1 全集群重启                                                      315

    9 8 2 滚动重启                                                          316

    9 9 集群的备份和恢复                                               317

    9 9 1 搭建共享文件目录                                           317

    9 9 2 备份集群数据                                                   319

    9 9 3 恢复集群数据                                                   322

    9 9 4 删除备份数据                                                   323

    9 9 5 自动化备份                                                      323

    9 10 远程集群                                                           325

    9 10 1 配置远程集群                                                 325

    9 10 2 搜索远程集群的数据                                      327

    9 11 本章小结                                                            328

    发散篇

    第 10章 Logstash:数据的源泉                            333

    10 1 Logstash的工作原理                                       333

    10 2 Logstash的安装和目录结构                            334

    10 3 Logstash的重要配置                                       335

    10 4 Logstash采集脚本的结构                                336

    10 5 实战举例的执行                                                 337

    10 5 1 采集Nginx日志数据到索引中                       338

    10 5 2 全量抽取表数据到索引中                               340

    10 5 3 增量抽取表数据到索引中                               345

    10 5 4 如何给敏感配置项加密                                  347

    10 6 本章小结                                                           347

    第 11章 Kibana:数据可视化利器                       349

    11 1 在CentOS 7上安装Kibana                             349

    11 2 用Kibana可视化管理数据                               350

    11 2 1 索引管理                                                        350

    11 2 2 快照备份和恢复管理                                      352

    11 2 3 远程集群管理                                                 357

    11 3 开发工具                                                            358

    11 3 1 REST端点控制台                                          358

    11 3 2 搜索调试器                                                    359

    11 3 3 Grok正则模式调试器                                    360

    11 4 数据可视化分析                                                 360

    11 4 1 Discover发现                                                360

    11 4 2 Visualize可视化组件                                     362

    11 4 3 Maps地图                                                     363

    11 4 4 Dashboard大屏仪表盘                                  364

    11 4 5 Canvas画布                                                  364

    11 4 6 查看样例数据                                                 365

    11 5 本章小结                                                            367

    第 12章 Beats家族:精细化数据采集                 368

    12 1 Beats家族在Elastic Stack中的职责              368

    12 2 Filebeat的安装和工作原理                               369

    12 3 filebeat yml的重要配置                                   370

    12 4 Filebeat采集Nginx日志到

    Elasticsearch中                                              372

    12 5 Filebeat采集日志到Logstash中                    375

    12 6 本章小结                                                           378
查看详情
相关图书 / 更多
Elasticsearch数据搜索与分析实战
Elements of Causal Inference: Foundations and Learning Algorithms
Peters;Jonas;Janzing;Dominik;Scholkopf;Bernhard
Elasticsearch数据搜索与分析实战
Electric Motors and Control Techniques
Gottlieb;Irving
Elasticsearch数据搜索与分析实战
Elements of Number Theory
Vinogradov;I. M.;Kravetz;Saul
Elasticsearch数据搜索与分析实战
Elements of Large-Sample Theory
Lehmann;E. L
Elasticsearch数据搜索与分析实战
Electric Dreams
Kettlewell;Caroline
Elasticsearch数据搜索与分析实战
El Fureidis
Maria Susanna Cummins;Susanna Cummins;Cummins;Maria
Elasticsearch数据搜索与分析实战
Electrotechnology—Advanced Level(电工——高级)
李云龙
Elasticsearch数据搜索与分析实战
Elementary Dirichlet Series and Modular Forms
Shimura;Goro
Elasticsearch数据搜索与分析实战
El Mundo de hielo y fuego / The World of Ice & Fire
Martin;George R. R.;Garcia;Elio
Elasticsearch数据搜索与分析实战
Elsie\'s New Relations, Book 9
Finley;Martha
Elasticsearch数据搜索与分析实战
Eliminating \"us and Them\": Making It and the Business One
Romero;Steven
Elasticsearch数据搜索与分析实战
Electromagnetic Waves in Chiral and Bi-Isotropic Media
Lindell;Ismo V.;Vitanen;A. J.;Tretyakov;S. A