弹性搜索排序结果"/>
基于key的弹性搜索排序结果
我正在尝试从弹性搜索中获取数据。 但无法对结果进行排序。
这里是搜索查询:
{
"size": 20,
"from": 0,
"sort": {
"email": {
"order": "desc"
}
},
"query": {
"bool": {
"must": [
"",
{
"range": {
"created_at": {
"gte": "2017-01-01",
"lte": "now"
}
}
}
]
}
}
}
回复:
{
"error": {
"root_cause": [
{
"type": "illegal_argument_exception",
"reason": "Fielddata is disabled on text fields by default. Set fielddata=true on [email] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead."
}
],
"type": "search_phase_execution_exception",
"reason": "all shards failed",
"phase": "query",
"grouped": true,
"failed_shards": [
{
"shard": 0,
"index": "search",
"node": "XLaHCsHWR9WHIFXgT5o7nw",
"reason": {
"type": "illegal_argument_exception",
"reason": "Fielddata is disabled on text fields by default. Set fielddata=true on [email] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead."
}
}
],
"caused_by": {
"type": "illegal_argument_exception",
"reason": "Fielddata is disabled on text fields by default. Set fielddata=true on [email] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead.",
"caused_by": {
"type": "illegal_argument_exception",
"reason": "Fielddata is disabled on text fields by default. Set fielddata=true on [email] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead."
}
}
},
"status": 400
}
当我删除排序属性并返回原始结果时,上面的搜索查询工作正常。
"sort": {
"email": {
"order": "desc"
}
},
类似的输出看起来像一个对象数组。
"hits": [
{
"_index": "search",
"_type": "search",
"_id": "218321",
"_score": 1.0,
"_source": {
"orderId": 211,
"commission_waived": 0,
"shippingTreeId": null,
"email": "[email protected]",
"userId": 787,
"firstName": "manoj",
"currency": "USD",
"item_quantity": 5,
"lastName": "manoj",
"fullName": "manoj manoj",
"affiliatedBy": 10452,
"affiliatedByName": "manoj manoj",
"office_specialist": null,
"grandTotal": "101.03",
"conversionType": "ct0",
"created_at": "2023-04-28T04:14:12.000Z",
"transactionId": "cf_seffdghghkjgd54564",
"orderStatus": "Processing",
"status": "0",
"carrier": null,
"tracking_number": null,
"paymentStatus": "Paid",
"shipment_tree_id": null,
"warehouse_name": null,
"warehouse_id": null,
"updated_at": "2023-04-28T04:14:14.000Z",
"shipment_url": null,
"couponCode": "testing23",
"id": "2181",
"paymentStatusId": 0
}
}
]
任何人都可以纠正我在弹性搜索查询中遗漏的地方。
回答如下:长话短说;
这是一个映射问题。 您的字段
email
必须使用 text
类型。
Fielddata 在 text fields 默认情况下被禁用。
什么是现场数据?
文本字段默认是可搜索的,但默认情况下不可用于聚合、排序或脚本。如果您尝试使用脚本对文本字段中的值进行排序、聚合或访问,您将看到一个异常,表明文本字段默认禁用字段数据。
解决方案
使用email.keyword
email.keyword
如果您没有手动设置映射,您可能有:
作为email
场text
作为email.keyword
子字段keyword
在那种情况下,您只需要:
{
"size": 20,
"from": 0,
"sort": {
"email.keyword": {
"order": "desc"
}
},
"query": {
"bool": {
"must": [
"",
{
"range": {
"created_at": {
"gte": "2017-01-01",
"lte": "now"
}
}
}
]
}
}
}
更改映射+重新索引
PUT search_2
{
"mappings": {
"properties": {
"email":{
"type": "keyword"
}
.
.
.
}
}
}
然后可以在
search
中重新索引第一个索引
search_2
中的数据
POST _reindex
{
"source": {
"index": "search"
},
"dest": {
"index": "search_2"
}
}
使用 fielddata=true
使用文本字段进行聚合/排序并不是最有效的方法。
在内存中加载字段数据会消耗大量内存。
PUT /search/
{
"mappings": {
"properties": {
"email":{
"type": "text",
"fielddata": true
}
}
}
}
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基于key的弹性搜索排序结果
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