关于数据库:使用-Easysearch-还原-Elasticsearch-快照数据

本文次要验证 Elasticsearch 快照在 Easysearch 中进行数据恢复。

筹备测试数据

索引

别名

模版

生命周期策略

创立快照

PUT /_snapshot/my_backup
{
  "type": "fs",
  "settings": {"location": "/infini/test/es_backup"}
}

PUT /_snapshot/my_backup/snapshot_1
{
  "indices": "*",
  "ignore_unavailable": false,
  "include_global_state": false
}

GET /_snapshot/my_backup/snapshot_1

• ignore_unavailable：如果 indices 列表中的索引不存在，则是否疏忽该索引而不是使快照失败。默认值为 false。
• include_global_state：是否在快照中蕴含集群状态（包含索引模版、生命周期配置、长久化配置等）。默认值为 true，倡议设为 false。

复原快照

POST /_snapshot/my_backup/snapshot_1/_restore
{
  "indices": "*",
  "ignore_unavailable": false,
  "include_global_state": false,
  "include_aliases": true,
  "ignore_index_settings": ["index.lifecycle.indexing_complete"]
}

• ignore_unavailable：如果 indices 列表中的索引不存在，则是否疏忽该索引而不是使还原操作失败。默认值为 false。
• include_global_state：是否还原群集状态。默认值为 false。
• include_aliases：是否复原别名及其关联索引。默认值为 true。
• index.lifecycle.indexing_complete 配置不反对，疏忽掉。

数据验证

索引

通过 gateway 进行数据比对

path.data: data
path.logs: log

#show progress bar
#progress_bar.enabled: true

elasticsearch:
  - name: source
    enabled: true
    endpoints:
      - http://192.168.3.185:29200
  - name: target
    enabled: true
    endpoints:
      - https://192.168.3.185:9205
    basic_auth:
      username: admin
      password: admin

pipeline:
  - name: index_diff_service
    auto_start: true
    processor:
      - dag:
          mode: wait_all
          parallel:
            - dump_hash: #dump es1's doc
                sort_document_fields: true
                indices: ".infini_activities-000004"   ## 须要比对的索引名
                scroll_time: "10m"
                elasticsearch: "source"
                #              query_string: "_id:c8es70pu46lgfdgmja9g-1646117763293610802-2"
                #              fields: "doc_hash"
                output_queue: "source_docs"
                batch_size: 5000
                slice_size: 1
            #              hash_func: "xxhash64"
            - dump_hash: #dump es2's doc
                indices: ".infini_activities-000004"
                scroll_time: "10m"
                #              fields: "doc_hash"
                #              query_string: "_id:c8es70pu46lgfdgmja9g-1646117763293610802-2"
                batch_size: 5000
                slice_size: 1
                #              hash_func: "xxhash64"
                elasticsearch: "target"
                output_queue: "target_docs"
          end:
            - index_diff:
                diff_queue: "diff_result"
                buffer_size: 10
                text_report: true #如果要存 es，这个开关敞开，开启 pipeline 的 diff_result_ingest 工作
                source_queue: "source_docs"
                target_queue: "target_docs"
#pipeline:
#  - name: diff_result_ingest
#    processor:
#      - json_indexing:
#          index_name: "diff_result"
#          elasticsearch: "source"
#          input_queue: "diff_result"

./gateway-linux-amd64 -config data_check.yml

别名

模版

PUT _template/.infini_activities-rollover
{
  "order": 100000,
  "index_patterns": [".infini_activities*"],
  "settings": {
    "index": {
      "format": "7",
      "lifecycle": {
        "name": "ilm_.infini_metrics-30days-retention",
        "rollover_alias": ".infini_activities"
      },
      "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": {}}

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": {}}

生命周期策略

PUT _ilm/policy/ilm_.infini_metrics-30days-retention
{
  "policy": {
    "phases": {
      "hot": {
        "min_age": "0ms",
        "actions": {
          "rollover": {
            "max_size": "50gb",
            "max_age": "30d"
          },
          "set_priority": {"priority": 100}
        }
      },
      "delete": {
        "min_age": "30d",
        "actions": {"delete": {}
        }
      }
    }
  }
}

注：不反对 “delete_searchable_snapshot”: true 配置

测试后果

对于 Easysearch

INFINI Easysearch 是一个分布式的近实时搜寻与剖析引擎，外围引擎基于开源的 Apache Lucene。Easysearch 衍生自基于开源协定 Apache 2.0 的 Elasticsearch 7.10 版本。Easysearch 的指标是提供一个轻量级的 Elasticsearch 可代替版本，并持续欠缺和反对更多的企业级性能。与 Elasticsearch 相比，Easysearch 更关注在搜寻业务场景的优化和持续放弃其产品的简洁与易用性。

详情参见：官网文档