我有嵌套查询在哪里，我在过滤当前数据，然后使用日期 - 直方图聚合与每小时间隔聚合数据，但在日期 - 直方图输出中，它也返回前一天的数据。过滤器不起作用？
这是我的查询：
POST finalalertbrowser/_search?size=0
{
"query": {
"bool": {
"must": [{
"match_phrase": {
"projectId.keyword": "******************************88"
}
}],
"filter": {
"nested": {
"path": "errors",
"query": {
"bool": {
"filter":
{
"range": {
"errors.time": {
"gte": "now/d",
"lte": "now"
}
}
}
}
}
}
}
}
},
"aggs": {
"errorData": {
"nested": {
"path": "errors"
},
"aggs": {
"errorMsg": {
"filter": {
"term": {
"errors.errMsg.keyword": "Uncaught TypeError: $.snapUpdate is not a function"
}
},
"aggs": {
"hourlyData": {
"date_histogram": {
"field": "errors.time",
"interval": "hour",
"time_zone": "+05:30"
}
}
}
}
}
}
}
}
并且查询的输出是：
"aggregations": {
"errorData": {
"doc_count": 89644,
"errorMsg": {
"doc_count": 1861,
"hourlyData": {
"buckets": [
{
"key_as_string": "2018-03-13T11:00:00.000+05:30",
"key": 1520919000000,
"doc_count": 3
},
{
"key_as_string": "2018-03-13T12:00:00.000+05:30",
"key": 1520922600000,
"doc_count": 2
},
{
"key_as_string": "2018-03-13T13:00:00.000+05:30",
"key": 1520926200000,
"doc_count": 2
},
{
"key_as_string": "2018-03-13T14:00:00.000+05:30",
"key": 1520929800000,
"doc_count": 2
},
{
"key_as_string": "2018-03-13T15:00:00.000+05:30",
"key": 1520933400000,
"doc_count": 4
},
{
"key_as_string": "2018-03-13T16:00:00.000+05:30",
"key": 1520937000000,
"doc_count": 8
},
{
"key_as_string": "2018-03-13T17:00:00.000+05:30",
"key": 1520940600000,
"doc_count": 6
},
{
"key_as_string": "2018-03-13T18:00:00.000+05:30",
"key": 1520944200000,
"doc_count": 3
},
{
"key_as_string": "2018-03-13T19:00:00.000+05:30",
"key": 1520947800000,
"doc_count": 1
},
{
"key_as_string": "2018-03-13T20:00:00.000+05:30",
"key": 1520951400000,
"doc_count": 2
},
{
"key_as_string": "2018-03-13T21:00:00.000+05:30",
"key": 1520955000000,
"doc_count": 4
},
{
"key_as_string": "2018-03-13T22:00:00.000+05:30",
"key": 1520958600000,
"doc_count": 3
},
{
"key_as_string": "2018-03-13T23:00:00.000+05:30",
"key": 1520962200000,
"doc_count": 2
},
{
"key_as_string": "2018-03-14T00:00:00.000+05:30",
"key": 1520965800000,
"doc_count": 1
},
{
"key_as_string": "2018-03-14T01:00:00.000+05:30",
"key": 1520969400000,
"doc_count": 2
},
{
"key_as_string": "2018-03-14T02:00:00.000+05:30",
"key": 1520973000000,
"doc_count": 1
},
{
"key_as_string": "2018-03-14T03:00:00.000+05:30",
"key": 1520976600000,
"doc_count": 1
},
{
"key_as_string": "2018-03-14T04:00:00.000+05:30",
"key": 1520980200000,
"doc_count": 2
},
{
"key_as_string": "2018-03-14T05:00:00.000+05:30",
"key": 1520983800000,
"doc_count": 2
},
{
"key_as_string": "2018-03-14T11:00:00.000+05:30",
"key": 1521005400000,
"doc_count": 349
},
{
"key_as_string": "2018-03-14T12:00:00.000+05:30",
"key": 1521009000000,
"doc_count": 300
},
{
"key_as_string": "2018-03-14T13:00:00.000+05:30",
"key": 1521012600000,
"doc_count": 258
},
{
"key_as_string": "2018-03-14T14:00:00.000+05:30",
"key": 1521016200000,
"doc_count": 247
},
{
"key_as_string": "2018-03-14T15:00:00.000+05:30",
"key": 1521019800000,
"doc_count": 144
},
{
"key_as_string": "2018-03-14T16:00:00.000+05:30",
"key": 1521023400000,
"doc_count": 63
},
{
"key_as_string": "2018-03-14T17:00:00.000+05:30",
"key": 1521027000000,
"doc_count": 30
}
]
}
}
}
}
我已经在2018年3月14日执行了查询，但查询从2018年3月13日开始输出。
以下是映射命令：
PUT myIndexName
{
"mappings": {
"webbrowsererror": {
"properties": {
"errors": {
"type": "nested" ,
"properties": {
"time":{"type":"date"}
}
}
}
}
}
}
及以下是索引中的示例记录：
_source": {
"projectId": "******************",
"sId": "bt82x3g8v1505001600027",
"pId": "bt82x3g8v1505001600027.1",
"pageURL": "***************************",
"startTime": 1505001600027,
"country": "unknown",
"size": 2,
"errors": [
{
"sid": "bt82x3g8v1505001600027",
"pid": "bt82x3g8v1505001600027.1",
"browser": "Googlebot",
"time": 1505001600028,
"errMsg": "Uncaught SyntaxError: Invalid regular expression: missing /",
"url": "********************************",
"lineNo": 161,
"colNo": 54
},
{
"sid": "bt82x3g8v1505001600027",
"pid": "bt82x3g8v1505001600027.1",
"browser": "Googlebot",
"time": 1505001600058,
"errMsg": "Uncaught Error: Syntax error, unrecognized expression: #!",
"url": "************************************************************",
"lineNo": 3,
"colNo": 69
}
]
}
"_source": {
"projectId": "shaan-shaanstack-1-1517388493060",
"sId": "bt82x3g8v1502496000027",
"pId": "bt82x3g8v1502496000027.1",
"startTime": 1502496000027,
"country": "US",
"size": 1,
"errors": [
{
"sid": "bt82x3g8v1502496000027",
"pid": "bt82x3g8v1502496000027.1",
"browser": "Chrome Mobile",
"time": 1502496000128,
"errMsg": "Uncaught Error: Syntax error, unrecognized expression: #!",
"url": "**************************************************",
"lineNo": 2,
"colNo": 69
}
]
}
"_source": {
"projectId": null,
"sId": "888888888888888",
"pId": "bt82x3g8v1505001600027.1",
"pageURL": "******************",
"startTime": 1505001600027,
"country": "unknown",
"size": 2,
"errors": [
{
"sid": "bt82x3g8v1505001600027",
"pid": "bt82x3g8v1505001600027.1",
"browser": "Googlebot",
"time": 1505001600028,
"errMsg": "Uncaught SyntaxError: Invalid regular expression: missing /",
"url": "***********************************",
"lineNo": 170,
"colNo": 54
},
{
"sid": "bt82x3g8v1505001600027",
"pid": "bt82x3g8v1505001600027.1",
"browser": "Googlebot",
"time": 1505001600082,
"errMsg": "Uncaught Error: Syntax error, unrecognized expression: #!",
"url": "***********************************",
"lineNo": 3,
"colNo": 69
}
]
}
答案 0 :(得分：1)
我相信您的查询存在一些问题：
terms查询来获得完全匹配nested查询应在bool/must条款尝试一下（注意：我排除了聚合部分）：
{
"sort": [
{
"errors.time": {
"order": "asc"
}
}
],
"query": {
"bool": {
"must": [
{
"term": {
"projectId.keyword": {
"value": "******************************88"
}
}
},
{
"nested": {
"path": "errors",
"query": {
"range": {
"errors.time": {
"gte": "now/d",
"lte": "now"
}
}
}
}
}
]
}
}
}
验证您的查询只返回正确的数据后，您就可以在汇总中重新添加
答案 1 :(得分：1)
您需要将嵌套字段视为父记录的一部分。让我们看下面的例子，我插入一个有2个嵌套属性的记录，一个时间为“2018-01-01T00：00：00Z”，另一个时间为“2018-01-02T00：00：00Z”
插入命令：
POST jaytest/webbrowsererror
{
"projectId": "******************",
"sId": "bt82x3g8v1505001600027",
"pId": "bt82x3g8v1505001600027.1",
"pageURL": "***************************",
"startTime": 1505001600027,
"country": "unknown",
"size": 2,
"errors": [
{
"sid": "bt82x3g8v1505001600027",
"pid": "bt82x3g8v1505001600027.1",
"browser": "Googlebot",
"time": "2018-01-01T00:00:00Z",
"errMsg": "Uncaught SyntaxError: Invalid regular expression: missing /",
"url": "********************************",
"lineNo": 161,
"colNo": 54
},
{
"sid": "bt82x3g8v1505001600027",
"pid": "bt82x3g8v1505001600027.1",
"browser": "Googlebot",
"time": "2018-01-02T00:00:00Z",
"errMsg": "Uncaught Error: Syntax error, unrecognized expression: #!",
"url": "************************************************************",
"lineNo": 3,
"colNo": 69
}
]
}
现在，我可以查询并说“只返回记录，其中errors.time是＆gt; =”2018-01-02T00：00：00Z“
GET jaytest/webbrowsererror/_search
{
"query": {
"bool": {
"must": [
{
"nested": {
"path": "errors",
"query": {
"range": {
"errors.time": {
"gte": "2018-01-02T00:00:00Z"
}
}
}
}
}
]
}
}
}
当您运行该查询时，您会注意到它返回我插入的单个父记录，但同时包含两个嵌套的“错误”。那是因为你在查询父记录。
要按照你想要的方式对数据进行切片我认为正确的方法是摆脱嵌套的“错误”字段，而是将每个错误索引为它自己的文档（而不是父文档的嵌套子项）。 / p>