每个商店都有自己的一组库存，作为一个索引存储在elasticsearch中。目前，我有 11,000 个商店，这意味着它有 11,000 个带有索引的分片，这些索引很难在 32 GB RAM 服务器中获取数据。
有人可以指导如何在elasticsearch中存储每个商店的库存，因为为每个商店库存创建单独的索引对我没有帮助吗？
下面是索引的映射。使用的Elasticsearch版本是6.0.1
{
"staging_shop_inventory_558" : {
"mappings" : {
"shop_inventory" : {
"properties" : {
"alternate_name" : {
"type" : "text",
"analyzer" : "standard"
},
"brand" : {
"properties" : {
"created_at" : {
"type" : "date"
},
"id" : {
"type" : "integer"
},
"image" : {
"type" : "text",
"index" : false
},
"is_selected" : {
"type" : "boolean"
},
"name" : {
"type" : "text",
"analyzer" : "standard"
},
"updated_at" : {
"type" : "date"
}
}
},
"brand_autocomplete" : {
"type" : "text",
"analyzer" : "autocomplete",
"search_analyzer" : "autocomplete_search"
},
"brand_suggest" : {
"type" : "text",
"analyzer" : "ngram_analyzer"
},
"category" : {
"properties" : {
"id" : {
"type" : "integer"
},
"image" : {
"type" : "text",
"index" : false
},
"name" : {
"type" : "text",
"analyzer" : "standard"
}
}
},
"created_at" : {
"type" : "date"
},
"deleted_at" : {
"type" : "date"
},
"id" : {
"type" : "integer"
},
"image" : {
"type" : "text",
"index" : false
},
"is_deleted" : {
"type" : "boolean"
},
"name" : {
"type" : "text",
"fields" : {
"raw" : {
"type" : "keyword"
}
},
"analyzer" : "gramAnalyzer",
"search_analyzer" : "whitespace_analyzer"
},
"name_autocomplete" : {
"type" : "text",
"analyzer" : "autocomplete",
"search_analyzer" : "autocomplete_search"
},
"name_suggest" : {
"type" : "text",
"analyzer" : "ngram_analyzer"
},
"product_id" : {
"type" : "integer"
},
"product_sizes" : {
"type" : "nested",
"properties" : {
"deleted_at" : {
"type" : "date"
},
"description" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"ean_code" : {
"type" : "keyword"
},
"id" : {
"type" : "integer"
},
"in_stock" : {
"type" : "boolean"
},
"is_deleted" : {
"type" : "boolean"
},
"price" : {
"type" : "float"
},
"product_id" : {
"type" : "long"
},
"product_update_on" : {
"type" : "date"
},
"product_update_status" : {
"type" : "integer"
},
"uom" : {
"type" : "keyword"
},
"weight" : {
"type" : "float"
}
}
},
"sub_category" : {
"properties" : {
"created_at" : {
"type" : "date"
},
"id" : {
"type" : "integer"
},
"image" : {
"type" : "text",
"index" : false
},
"is_selected" : {
"type" : "boolean"
},
"name" : {
"type" : "text",
"analyzer" : "standard"
},
"updated_at" : {
"type" : "date"
}
}
},
"sub_category_suggest" : {
"type" : "text",
"analyzer" : "gramAnalyzer",
"search_analyzer" : "whitespace_analyzer"
}
}
}
}
}
}
最佳答案
哇，你的节点有 11k 分片(根据副本因素可能会有更多分片)，而该节点只有 32 GB RAM(再次注意，这不是分配给 Elasticsearch 进程的 JVM)，其性能很大程度上取决于 JVM 大小和 beyond 32GB deteriorates .
Elasticsearch 是一个分布式系统，可以轻松扩展到数千个节点，您应该在集群中添加更多节点，并将 Elasticsearch 索引分发到集群中的所有节点。
关于ruby-on-rails - 在elasticsearch中处理大量分片，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/62038832/