--- title: "升级说明" date: 0001-01-01 summary: "版本更新 # 这里是 INFINI Console 版本升级的相关说明。 如果您在升级过程中遇到问题，欢迎前往 INFINI Labs Github（https://github.com/infinilabs/console/issues）Console 项目中提交 Issue。也可以通过 Discord 聊天室（https://discord.gg/4tKTMkkvVX）或添加微信小助手（INFINI-Labs）跟我们取得联系与反馈。 从 v1.27.x 升级至 v1.28.0 # Console v1.28.0 版本新增了 TopN 功能，用于快速识别排名前 N 的关键指标数据点。它通过强大的多维度指标分析能力，帮助用户更高效地进行性能优化与决策分析。 如果您不是通过全新安装的 INFINI Console， 而是通过旧版本升级的，那么您需要如下额外操作才能正常使用： 复制如下指标脚本 DSL 到 INFINI Console 开发工具里面。 将指标脚本 DSL 中字符串 $[[SETUP_INDEX_PREFIX]] 批量替换成实际的索引前缀，如果您未修改该配置，默认为 .infini_ 执行指标脚本 DSL 指标脚本 DSL #shard level PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/bD2jH5QB7KvGccywNCH9 { "id": "bD2jH5QB7KvGccywNCH9", "name": "Indexing Rate", "key": "indexing_rate", "level": "shard", "formula": "bD2jH5QB7KvGccywNCH9/{{.bucket_size_in_second}}", "items": [ { "name": "bD2jH5QB7KvGccywNCH9", "field": "payload." --- # 版本更新 这里是 INFINI Console 版本升级的相关说明。 如果您在升级过程中遇到问题，欢迎前往 INFINI Labs Github（）Console 项目中提交 Issue。也可以通过 Discord 聊天室（）或添加微信小助手（INFINI-Labs）跟我们取得联系与反馈。 ## 从 v1.27.x 升级至 v1.28.0 Console v1.28.0 版本新增了 TopN 功能，用于快速识别排名前 N 的关键指标数据点。它通过强大的多维度指标分析能力，帮助用户更高效地进行性能优化与决策分析。 如果您不是通过全新安装的 **INFINI Console**， 而是通过旧版本升级的，那么您需要如下额外操作才能正常使用： 1. 复制如下指标脚本 DSL 到 **INFINI Console** 开发工具里面。 2. 将指标脚本 DSL 中字符串 `$[[SETUP_INDEX_PREFIX]]` 批量替换成实际的索引前缀，如果您未修改该配置，默认为 `.infini_` 3. 执行指标脚本 DSL {{< details "指标脚本 DSL" "..." >}} ```dsl #shard level PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/bD2jH5QB7KvGccywNCH9 { "id": "bD2jH5QB7KvGccywNCH9", "name": "Indexing Rate", "key": "indexing_rate", "level": "shard", "formula": "bD2jH5QB7KvGccywNCH9/{{.bucket_size_in_second}}", "items": [ { "name": "bD2jH5QB7KvGccywNCH9", "field": "payload.elasticsearch.shard_stats.indexing.index_total", "statistic": "rate" } ], "statistics": ["rate"], "format": "number", "unit": "doc/s", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/bD2jH5QB7KvGccywNCH1 { "id": "bD2jH5QB7KvGccywNCH1", "name": "Shard Storage", "key": "shard_storage", "level": "shard", "formula": "bD2jH5QB7KvGccywNCH1", "items": [ { "name": "bD2jH5QB7KvGccywNCH1", "field": "payload.elasticsearch.shard_stats.store.size_in_bytes", "statistic": "max" } ], "statistics": ["max", "min", "sum", "avg", "p99", "medium"], "format": "bytes", "unit": "", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/bD2jH5QB7KvGccywNCH5 { "id": "bD2jH5QB7KvGccywNCH5", "name": "Document Count", "key": "doc_count", "level": "shard", "formula": "bD2jH5QB7KvGccywNCH5", "items": [ { "name": "bD2jH5QB7KvGccywNCH5", "field": "payload.elasticsearch.shard_stats.docs.count", "statistic": "max" } ], "statistics": ["max", "min", "sum", "avg", "p99", "medium"], "format": "number", "unit": "", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/bD2jH5QB7KvGccywNCH2 { "id": "bD2jH5QB7KvGccywNCH2", "name": "Search Rate", "key": "search_rate", "level": "shard", "formula": "bD2jH5QB7KvGccywNCH2/{{.bucket_size_in_second}}", "items": [ { "name": "bD2jH5QB7KvGccywNCH2", "field": "payload.elasticsearch.shard_stats.search.query_total", "statistic": "rate" } ], "statistics": ["rate"], "format": "number", "unit": "doc/s", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/bD2jH5QB7KvGccywNCH3 { "id": "bD2jH5QB7KvGccywNCH3", "name": "Indexing Latency", "key": "indexing_latency", "level": "shard", "formula": "bD2jH5QB7KvGccywNCx3/bD2jH5QB7KvGccywNCH3", "items": [ { "name": "bD2jH5QB7KvGccywNCx3", "field": "payload.elasticsearch.shard_stats.indexing.index_total", "statistic": "rate" }, { "name": "bD2jH5QB7KvGccywNCH3", "field": "payload.elasticsearch.shard_stats.indexing.index_time_in_millis", "statistic": "rate" } ], "statistics": ["rate"], "format": "number", "unit": "ms", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/bD2jH5QB7KvGccywNCH4 { "id": "bD2jH5QB7KvGccywNCH4", "name": "Search Latency", "key": "search_latency", "level": "shard", "formula": "bD2jH5QB7KvGccywNCx4/bD2jH5QB7KvGccywNCH4", "items": [ { "name": "bD2jH5QB7KvGccywNCH4", "field": "payload.elasticsearch.shard_stats.search.query_total", "statistic": "rate" }, { "name": "bD2jH5QB7KvGccywNCx4", "field": "payload.elasticsearch.shard_stats.search.query_time_in_millis", "statistic": "rate" } ], "statistics": ["rate"], "format": "number", "unit": "ms", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/bD2jH5QB7KvGccywNCH6 { "id": "bD2jH5QB7KvGccywNCH6", "name": "Segment Count", "key": "segment_count", "level": "shard", "formula": "bD2jH5QB7KvGccywNCH6", "items": [ { "name": "bD2jH5QB7KvGccywNCH6", "field": "payload.elasticsearch.shard_stats.segments.count", "statistic": "max" } ], "statistics": ["max", "min", "sum", "avg", "p99", "medium"], "format": "number", "unit": "", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/bD2jH5QB7KvGccywNCH7 { "id": "bD2jH5QB7KvGccywNCH7", "name": "Segment memory", "key": "segment_memory", "level": "shard", "formula": "bD2jH5QB7KvGccywNCH7", "items": [ { "name": "bD2jH5QB7KvGccywNCH7", "field": "payload.elasticsearch.shard_stats.segments.memory_in_bytes", "statistic": "max" } ], "statistics": ["max", "min", "sum", "avg", "p99", "medium"], "format": "number", "unit": "", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } #indices level PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/aD2jH5QB7KvGccywNCH9 { "id": "aD2jH5QB7KvGccywNCH9", "name": "Indexing Rate", "key": "indexing_rate", "level": "indices", "formula": "aD2jH5QB7KvGccywNCH9/{{.bucket_size_in_second}}", "items": [ { "name": "aD2jH5QB7KvGccywNCH9", "field": "payload.elasticsearch.index_stats.primaries.indexing.index_total", "statistic": "rate" } ], "statistics": ["rate"], "format": "number", "unit": "doc/s", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/aD2jH5QB7KvGccywNCH1 { "id": "aD2jH5QB7KvGccywNCH1", "name": "Index Storage", "key": "index_storage", "level": "indices", "formula": "aD2jH5QB7KvGccywNCH1", "items": [ { "name": "aD2jH5QB7KvGccywNCH1", "field": "payload.elasticsearch.index_stats.total.store.size_in_bytes", "statistic": "max" } ], "statistics": ["max", "min", "sum", "avg", "p99", "medium"], "format": "bytes", "unit": "", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/aD2jH5QB7KvGccywNCH5 { "id": "aD2jH5QB7KvGccywNCH5", "name": "Document Count", "key": "doc_count", "level": "indices", "formula": "aD2jH5QB7KvGccywNCH5", "items": [ { "name": "aD2jH5QB7KvGccywNCH5", "field": "payload.elasticsearch.index_stats.total.docs.count", "statistic": "max" } ], "statistics": ["max", "min", "sum", "avg", "p99", "medium"], "format": "number", "unit": "", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/aD2jH5QB7KvGccywNCH2 { "id": "aD2jH5QB7KvGccywNCH2", "name": "Search Rate", "key": "search_rate", "level": "indices", "formula": "aD2jH5QB7KvGccywNCH2/{{.bucket_size_in_second}}", "items": [ { "name": "aD2jH5QB7KvGccywNCH2", "field": "payload.elasticsearch.index_stats.total.search.query_total", "statistic": "rate" } ], "statistics": ["rate"], "format": "number", "unit": "doc/s", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/aD2jH5QB7KvGccywNCH3 { "id": "aD2jH5QB7KvGccywNCH3", "name": "Indexing Latency", "key": "indexing_latency", "level": "indices", "formula": "aD2jH5QB7KvGccywNCx3/aD2jH5QB7KvGccywNCH3", "items": [ { "name": "aD2jH5QB7KvGccywNCH3", "field": "payload.elasticsearch.index_stats.primaries.indexing.index_total", "statistic": "rate" }, { "name": "aD2jH5QB7KvGccywNCx3", "field": "payload.elasticsearch.index_stats.primaries.indexing.index_time_in_millis", "statistic": "rate" } ], "statistics": ["rate"], "format": "number", "unit": "ms", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/aD2jH5QB7KvGccywNCH4 { "id": "aD2jH5QB7KvGccywNCH4", "name": "Search Latency", "key": "search_latency", "level": "indices", "formula": "aD2jH5QB7KvGccywNCx4/aD2jH5QB7KvGccywNCH4", "items": [ { "name": "aD2jH5QB7KvGccywNCH4", "field": "payload.elasticsearch.index_stats.total.search.query_total", "statistic": "rate" }, { "name": "aD2jH5QB7KvGccywNCx4", "field": "payload.elasticsearch.index_stats.total.search.query_time_in_millis", "statistic": "rate" } ], "statistics": ["rate"], "format": "number", "unit": "ms", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/aD2jH5QB7KvGccywNCH6 { "id": "aD2jH5QB7KvGccywNCH6", "name": "Segment Count", "key": "segment_count", "level": "indices", "formula": "aD2jH5QB7KvGccywNCH6", "items": [ { "name": "aD2jH5QB7KvGccywNCH6", "field": "payload.elasticsearch.index_stats.total.segments.count", "statistic": "max" } ], "statistics": ["max", "min", "sum", "avg", "p99", "medium"], "format": "number", "unit": "", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/aD2jH5QB7KvGccywNCH7 { "id": "aD2jH5QB7KvGccywNCH7", "name": "Segment memory", "key": "segment_memory", "level": "indices", "formula": "aD2jH5QB7KvGccywNCH7", "items": [ { "name": "aD2jH5QB7KvGccywNCH7", "field": "payload.elasticsearch.index_stats.total.segments.memory_in_bytes", "statistic": "max" } ], "statistics": ["max", "min", "sum", "avg", "p99", "medium"], "format": "bytes", "unit": "", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } #node level PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/jD2jH5QB7KvGccywNCH9 { "id": "jD2jH5QB7KvGccywNCH9", "name": "Indexing Rate", "key": "indexing_rate", "level": "node", "formula": "jD2jH5QB7KvGccywH9/{{.bucket_size_in_second}}", "items": [ { "name": "jD2jH5QB7KvGccywH9", "field": "payload.elasticsearch.node_stats.indices.indexing.index_total", "statistic": "derivative" } ], "statistics": ["rate"], "format": "number", "unit": "doc/s", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/jD2jH5QB7KvGccywNCH4 { "id": "jD2jH5QB7KvGccywNCH4", "name": "Process CPU Usage", "key": "process_cpu_used", "level": "node", "formula": "jD2jH5QB7KvGccywNCH4", "items": [ { "name": "jD2jH5QB7KvGccywNCH4", "field": "payload.elasticsearch.node_stats.process.cpu.percent", "statistic": "avg" } ], "statistics": ["max", "min", "sum", "avg", "p99", "medium"], "format": "", "unit": "%", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/jD2jH5QB7KvGccywNCH3 { "id": "jD2jH5QB7KvGccywNCH3", "name": "JVM Heap Usage", "key": "jvm_heap_used", "level": "node", "formula": "jD2jH5QB7KvGccywNCH3", "items": [ { "name": "jD2jH5QB7KvGccywNCH3", "field": "payload.elasticsearch.node_stats.jvm.mem.heap_used_in_bytes", "statistic": "max" } ], "statistics": ["max", "min", "sum", "avg", "p99", "medium"], "format": "bytes", "unit": "", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/jD2jH5QB7KvGccywNCH1 { "id": "jD2jH5QB7KvGccywNCH1", "name": "Indexing Latency", "key": "indexing_latency", "level": "node", "formula": "jD2jH5QB7KvGccywNCx1/jD2jH5QB7KvGccywNCH1", "items": [ { "name": "jD2jH5QB7KvGccywNCH1", "field": "payload.elasticsearch.node_stats.indices.indexing.index_total", "statistic": "rate" }, { "name": "jD2jH5QB7KvGccywNCx1", "field": "payload.elasticsearch.node_stats.indices.indexing.index_time_in_millis", "statistic": "rate" } ], "statistics": ["rate"], "format": "number", "unit": "ms", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/jD2jH5QB7KvGccywNCH0 { "id": "jD2jH5QB7KvGccywNCH0", "name": "Search Rate", "key": "search_rate", "level": "node", "formula": "jD2jH5QB7KvGccywH0/{{.bucket_size_in_second}}", "items": [ { "name": "jD2jH5QB7KvGccywH0", "field": "payload.elasticsearch.node_stats.indices.search.query_total", "statistic": "derivative" } ], "statistics": ["rate"], "format": "number", "unit": "query/s", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/jD2jH5QB7KvGccywNCH9 { "id": "jD2jH5QB7KvGccywNCH9", "name": "Indexing Rate", "key": "indexing_rate", "level": "node", "formula": "jD2jH5QB7KvGccywH9/{{.bucket_size_in_second}}", "items": [ { "name": "jD2jH5QB7KvGccywH9", "field": "payload.elasticsearch.node_stats.indices.indexing.index_total", "statistic": "rate" } ], "statistics": ["rate"], "format": "number", "unit": "doc/s", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/jD2jH5QB7KvGccywNCH5 { "id": "jD2jH5QB7KvGccywNCH5", "name": "Search Latency", "key": "search_latency", "level": "node", "formula": "jD2jH5QB7KvGccywNCx5/jD2jH5QB7KvGccywNCH5", "items": [ { "name": "jD2jH5QB7KvGccywNCH5", "field": "payload.elasticsearch.node_stats.indices.search.query_total", "statistic": "rate" }, { "name": "jD2jH5QB7KvGccywNCx5", "field": "payload.elasticsearch.node_stats.indices.search.query_time_in_millis", "statistic": "rate" } ], "statistics": ["rate"], "format": "number", "unit": "ms", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/jD2jH5QB7KvGccywNCH6 { "id": "jD2jH5QB7KvGccywNCH6", "name": "Indices Storage", "key": "indices_storage", "level": "node", "formula": "jD2jH5QB7KvGccywNCH6", "items": [ { "name": "jD2jH5QB7KvGccywNCH6", "field": "payload.elasticsearch.node_stats.indices.store.size_in_bytes", "statistic": "max" } ], "statistics": ["max", "min", "sum", "avg", "p99", "medium"], "format": "bytes", "unit": "", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } PUT $[[SETUP_INDEX_PREFIX]]metric/_doc/jD2jH5QB7KvGccywNCH7 { "id": "jD2jH5QB7KvGccywNCH7", "name": "Document Count", "key": "doc_count", "level": "node", "formula": "jD2jH5QB7KvGccywNCH7", "items": [ { "name": "jD2jH5QB7KvGccywNCH7", "field": "payload.elasticsearch.node_stats.indices.docs.count", "statistic": "max" } ], "statistics": ["max", "min", "sum", "avg", "p99", "medium"], "format": "number", "unit": "", "builtin": true, "created": "2025-01-09T14:30:56.63155+08:00", "updated": "2025-01-09T14:30:56.63155+08:00" } ``` {{< /details >}} ## 从 v1.7 升级至 v1.27.x 下载新版版安装包并解压覆盖旧版本，重启 Console 即可完成升级。 ## 从 v1.5 升级至 v1.7 由于 Console v1.7 版本对告警模块做了改版优化，系统内置规则模板和告警渠道等，更新功能比较多，从低版本升级时，建议先自行备份低版本程序和后端存储数据，然后下载新版本安装包并解压后覆盖旧版本进行升级。 ## 从 v1.0 升级至 v1.5 下载 Console v1.5 安装包并解压覆盖旧版本，重启 Console 即可完成升级，后端存储引擎无需变动。 ## 从低版本升级至 v1.0 由于 Console v1.0 版本更新功能比较多，从低版本升级时，建议先自行备份低版本程序和后端存储数据，然后下载新版本安装包并解压后覆盖旧版本进行升级。 两种升级方式： - 新环境安装部署 - 格式化覆盖升级 ### 新环境安装部署 新环境是指将 Console 安装部署至新的磁盘目录，并且使用新的后端存储 Easysearch 或 Elasticsearch。部署安装说明参考：[下载安装](../getting-started/install)。 ### 格式化覆盖升级 格式化覆盖升级是指在原有旧版本基础上进行覆盖升级，并删除旧版 Console 数据。 > 提示：如有重要数据请先备份，删除操作造成数据丢失后果自负，请谨慎操作。 操作步骤如下： 1、先切换到 Console 安装目录 `/xxx/console` ，请根据实际情况自行修改。 ```sh cd /xxx/console ``` 2、停止 Console 服务 如果是 `-service` 方式启动，则可以通过以下方式停止。 ```sh ./console -service stop ``` 如果非 `-service` 方式启动，则自行解决停止服务。 3、删除 Console 数据 ```sh rm -rif data/ log/ config/ ``` 4、删除 Easysearch 或 Elasticsearch 中的 Console 系统索引和模板 删除 `.infini` 模板 ```sh curl -XDELETE http://localhost:9200/_template/.infini ``` 删除所有 `.infini` 开头的 Console 系统索引 ```sh curl -XDELETE http://localhost:9200/.infini* ``` 5、下载 Console 新版安装包并解压覆盖 此过程不再详细描述，请自行操作。 6、重新启动 Console 服务 本示例以 `-service` 启动。 ```sh ./console -service install Success ./console -service start Success ``` 7、完成 到此为止，格式化覆盖升级已完成。可以使用浏览器打开 http://localhost:9000 访问验证系统是否正常。 ## 从 v0.2 升级至 v0.3 ### 更新索引 `.infini` template ``` PUT _template/.infini { "order": 0, "index_patterns": [ ".infini_*" ], "settings": { "index": { "max_result_window": "10000000", "mapping": { "total_fields": { "limit": "20000" } }, "analysis": { "analyzer": { "suggest_text_search": { "filter": [ "word_delimiter" ], "tokenizer": "classic" } } }, "number_of_shards": "1" } }, "mappings": { "dynamic_templates": [ { "strings": { "mapping": { "ignore_above": 256, "type": "keyword" }, "match_mapping_type": "string" } } ] }, "aliases": {} } ``` ### 关闭索引 `.infini_cluster` ``` POST .infini_cluster/_close ``` ### 更新索引 `.infini_cluster` settings ``` PUT .infini_cluster/_settings { "analysis": { "analyzer": { "suggest_text_search": { "filter": [ "word_delimiter" ], "tokenizer": "classic" } } } } ``` ### 更新索引 `.infini_cluster` mappings ``` PUT .infini_cluster/_mapping { "dynamic_templates": [ { "strings": { "match_mapping_type": "string", "mapping": { "ignore_above": 256, "type": "keyword" } } } ], "properties": { "basic_auth": { "properties": { "password": { "type": "keyword" }, "username": { "type": "keyword" } } }, "created": { "type": "date" }, "description": { "type": "text" }, "discovery": { "properties": { "refresh": { "type": "object" } } }, "enabled": { "type": "boolean" }, "endpoint": { "type": "keyword" }, "endpoints": { "type": "keyword" }, "host": { "type": "keyword", "copy_to": [ "search_text" ] }, "hosts": { "type": "keyword" }, "labels": { "properties": { "health_status": { "type": "keyword", "ignore_above": 256 } } }, "location": { "properties": { "dc": { "type": "keyword" }, "provider": { "type": "keyword" }, "rack": { "type": "keyword" }, "region": { "type": "keyword" } } }, "monitored": { "type": "boolean" }, "name": { "type": "keyword", "fields": { "text": { "type": "text" } } }, "order": { "type": "integer" }, "owner": { "properties": { "department": { "type": "keyword", "copy_to": [ "search_text" ] }, "id": { "type": "keyword" }, "name": { "type": "keyword", "copy_to": [ "search_text" ] } } }, "project": { "type": "keyword", "copy_to": [ "search_text" ] }, "schema": { "type": "keyword" }, "search_text": { "type": "text", "analyzer": "suggest_text_search", "index_prefixes": { "min_chars": 2, "max_chars": 5 }, "index_phrases": true }, "tags": { "type": "keyword", "copy_to": [ "search_text" ] }, "traffic_control": { "properties": { "max_bytes_per_node": { "type": "keyword" }, "max_connection_per_node": { "type": "keyword" }, "max_qps_per_node": { "type": "keyword" }, "max_wait_time_in_ms": { "type": "keyword" } } }, "updated": { "type": "date" }, "version": { "type": "keyword", "copy_to": [ "search_text" ] } } } ``` ### 打开索引 `.infini_cluster` ``` POST .infini_cluster/_open ``` ### Update console.yml v0.3 版本在 v0.2 版本上新增了 pipeline 配置： ``` - name: metadata_ingest auto_start: true keep_running: true processor: - metadata: bulk_size_in_mb: 10 bulk_max_docs_count: 5000 fetch_max_messages: 1000 elasticsearch: "default" queues: type: metadata category: elasticsearch when: cluster_available: [ "default" ] - name: activity_ingest auto_start: true keep_running: true processor: - activity: bulk_size_in_mb: 10 bulk_max_docs_count: 5000 fetch_max_messages: 1000 elasticsearch: "default" queues: category: elasticsearch activity: true consumer: group: activity when: cluster_available: [ "default" ] ``` 先停止 Console 程序，再在`console.yml` 配置文件中的 pipeline 模块下添加上面面的配置，然后再启动 Console 程序。 ### 给索引 .infini_alert-history 配置生命周期 v0.3 新增了告警功能，告警功能存储执行记录的索引数据量很大，所以需要配置一下 ILM 如下： ```aidl PUT _template/.infini_alert-history-rollover { "order" : 100000, "index_patterns" : [ ".infini_alert-history*" ], "settings" : { "index" : { "format" : "7", "lifecycle" : { "name" : "infini_metrics-30days-retention", "rollover_alias" : ".infini_alert-history" }, "codec" : "best_compression", "number_of_shards" : "1", "translog.durability":"async" } }, "mappings" : { "dynamic_templates" : [ { "strings" : { "mapping" : { "ignore_above" : 256, "type" : "keyword" }, "match_mapping_type" : "string" } } ] }, "aliases" : { } } DELETE .infini_alert-history DELETE .infini_alert-history-00001 PUT .infini_alert-history-00001 { "settings": { "index.lifecycle.rollover_alias":".infini_alert-history" , "refresh_interval": "5s" }, "aliases":{ ".infini_alert-history":{ "is_write_index":true } }, "mappings": { "properties" : { "condition" : { "properties" : { "items" : { "properties" : { "expression" : { "type" : "keyword", "ignore_above" : 256 }, "minimum_period_match" : { "type" : "long" }, "operator" : { "type" : "keyword", "ignore_above" : 256 }, "severity" : { "type" : "keyword", "ignore_above" : 256 }, "values" : { "type" : "keyword", "ignore_above" : 256 } } }, "operator" : { "type" : "keyword", "ignore_above" : 256 } } }, "condition_result" : { "type" : "object", "enabled" : false }, "context" : { "type" : "keyword", "copy_to" : [ "search_text" ] }, "created" : { "type" : "date" }, "expression" : { "type" : "keyword", "copy_to" : [ "search_text" ] }, "id" : { "type" : "keyword" }, "is_escalated" : { "type" : "boolean" }, "is_notified" : { "type" : "boolean" }, "message" : { "type" : "keyword", "ignore_above" : 256 }, "objects" : { "type" : "keyword", "copy_to" : [ "search_text" ] }, "resource_id" : { "type" : "keyword" }, "resource_name" : { "type" : "keyword" }, "rule_id" : { "type" : "keyword" }, "rule_name" : { "type" : "keyword" }, "search_text" : { "type" : "text", "analyzer" : "suggest_text_search", "index_prefixes" : { "min_chars" : 2, "max_chars" : 5 }, "index_phrases" : true }, "severity" : { "type" : "keyword" }, "state" : { "type" : "keyword", "ignore_above" : 256 }, "title" : { "type" : "keyword" }, "updated" : { "type" : "date" } } } } ``` ## 升级常见问题 #### 问题描述 1 重复的索引 index 数据 {{% load-img "/img/troubleshooting/v0.3_duplicated_indices.png" "重复的索引index数据" %}} #### 解决方案 - 停止 Console - 删除索引`.infini_index` - 启动 Console #### 问题描述 2 重复的节点 node 数据 {{% load-img "/img/troubleshooting/v0.3_duplicated_nodes.png" "重复的节点node数据" %}} #### 解决方案 - 停止 Console - 删除索引 `.infini_node` - 启动 Console #### 问题描述 3 data 节点有监控数据，非 data 节点（master、client 等）没有监控数据，如下图非 data 节点所示： {{% load-img "/img/troubleshooting/v0.3_nodes_monitor_no_data.jpg" "重复的节点node数据" %}} #### 解决方案 建议升级到最新版。 #### 问题描述 4 页面出现空白，JS 报错。 #### 解决方案 建议升级到最新版，并将具体报错信息反馈给我们。 ## 反馈 如有其他任何问题和建议，请通过右侧的反馈功能或点击[这里](https://github.com/infinilabs/console/issues/new)提交给我们，我们将持续优化，感谢您的支持！