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虽然与AWS Elasticsearch（2.3）打，我用一些样本数据 https://www.elastic.co/guide/en/kibana/3.0/snippets/shakespeare.json有下列映射elasticsearch长期聚集返回桶以非常低的文档数
$ curl --url "https://my_es_id.us-east-1.es.amazonaws.com/shakespeare/_mapping"
{
"shakespeare": {
"mappings": {
"act": {
"properties": {
"line_id": {
"type": "integer"
},
"line_number": {
"type": "string"
},
"play_name": {
"fields": {
"raw": {
"index": "not_analyzed",
"type": "string"
}
},
"type": "string"
},
"speaker": {
"fields": {
"raw": {
"index": "not_analyzed",
"type": "string"
}
},
"type": "string"
},
"speech_number": {
"type": "integer"
},
"text_entry": {
"type": "string"
}
}
},
"line": {
"properties": {
"line_id": {
"type": "integer"
},
"line_number": {
"type": "string"
},
"play_name": {
"type": "string"
},
"speaker": {
"type": "string"
},
"speech_number": {
"type": "integer"
},
"text_entry": {
"type": "string"
}
}
},
"scene": {
"properties": {
"line_id": {
"type": "integer"
},
"line_number": {
"type": "string"
},
"play_name": {
"type": "string"
},
"speaker": {
"type": "string"
},
"speech_number": {
"type": "integer"
},
"text_entry": {
"type": "string"
}
}
}
}
}
}
现在，当我运行一个查询装好了为了获得整个数据的扬声器计数，我得到以下结果。
$ curl -XPOST "https://my_es_id.us-east-1.es.amazonaws.com/shakespeare/_search" -d'
{
"aggs" : {
"speakers" : {
"terms" : { "field" : "speaker.raw"}
}
}
}'
{
"_shards": {
"failed": 0,
"successful": 5,
"total": 5
},
"aggregations": {
"speakers": {
"buckets": [
{
"doc_count": 4,
"key": "BASTARD"
},
{
"doc_count": 3,
"key": "HAMLET"
},
{
"doc_count": 3,
"key": "KING HENRY VIII"
},
{
"doc_count": 3,
"key": "OF SYRACUSE"
},
{
"doc_count": 3,
"key": "PROSPERO"
},
{
"doc_count": 3,
"key": "WARWICK"
},
{
"doc_count": 2,
"key": "ADRIANO DE ARMADO"
},
{
"doc_count": 2,
"key": "ARCHBISHOP OF YORK"
},
{
"doc_count": 2,
"key": "AUFIDIUS"
},
{
"doc_count": 2,
"key": "BENEDICK"
}
],
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 153
}
},
"hits": {
"hits": [
{
"_id": "0",
"_index": "shakespeare",
"_score": 1.0,
"_source": {
"line_id": 1,
"line_number": "",
"play_name": "Henry IV",
"speaker": "",
"speech_number": "",
"text_entry": "ACT I"
},
"_type": "act"
},
{
"_id": "14",
"_index": "shakespeare",
"_score": 1.0,
"_source": {
"line_id": 15,
"line_number": "1.1.12",
"play_name": "Henry IV",
"speaker": "KING HENRY IV",
"speech_number": 1,
"text_entry": "Did lately meet in the intestine shock"
},
"_type": "line"
},
{
"_id": "19",
"_index": "shakespeare",
"_score": 1.0,
"_source": {
"line_id": 20,
"line_number": "1.1.17",
"play_name": "Henry IV",
"speaker": "KING HENRY IV",
"speech_number": 1,
"text_entry": "The edge of war, like an ill-sheathed knife,"
},
"_type": "line"
},
{
"_id": "22",
"_index": "shakespeare",
"_score": 1.0,
"_source": {
"line_id": 23,
"line_number": "1.1.20",
"play_name": "Henry IV",
"speaker": "KING HENRY IV",
"speech_number": 1,
"text_entry": "Whose soldier now, under whose blessed cross"
},
"_type": "line"
},
{
"_id": "24",
"_index": "shakespeare",
"_score": 1.0,
"_source": {
"line_id": 25,
"line_number": "1.1.22",
"play_name": "Henry IV",
"speaker": "KING HENRY IV",
"speech_number": 1,
"text_entry": "Forthwith a power of English shall we levy;"
},
"_type": "line"
},
{
"_id": "25",
"_index": "shakespeare",
"_score": 1.0,
"_source": {
"line_id": 26,
"line_number": "1.1.23",
"play_name": "Henry IV",
"speaker": "KING HENRY IV",
"speech_number": 1,
"text_entry": "Whose arms were moulded in their mothers womb"
},
"_type": "line"
},
{
"_id": "26",
"_index": "shakespeare",
"_score": 1.0,
"_source": {
"line_id": 27,
"line_number": "1.1.24",
"play_name": "Henry IV",
"speaker": "KING HENRY IV",
"speech_number": 1,
"text_entry": "To chase these pagans in those holy fields"
},
"_type": "line"
},
{
"_id": "29",
"_index": "shakespeare",
"_score": 1.0,
"_source": {
"line_id": 30,
"line_number": "1.1.27",
"play_name": "Henry IV",
"speaker": "KING HENRY IV",
"speech_number": 1,
"text_entry": "For our advantage on the bitter cross."
},
"_type": "line"
},
{
"_id": "40",
"_index": "shakespeare",
"_score": 1.0,
"_source": {
"line_id": 41,
"line_number": "1.1.38",
"play_name": "Henry IV",
"speaker": "WESTMORELAND",
"speech_number": 2,
"text_entry": "Whose worst was, that the noble Mortimer,"
},
"_type": "line"
},
{
"_id": "41",
"_index": "shakespeare",
"_score": 1.0,
"_source": {
"line_id": 42,
"line_number": "1.1.39",
"play_name": "Henry IV",
"speaker": "WESTMORELAND",
"speech_number": 2,
"text_entry": "Leading the men of Herefordshire to fight"
},
"_type": "line"
}
],
"max_score": 1.0,
"total": 111396
},
"timed_out": false,
"took": 28
}
文档在聚合桶中的计数看起来非常低。我希望看到的是与文档数以下的扬声器（通过明确评估扬声器计算下面我算整个数据）：
GLOUCESTER 1920
HAMLET 1582
IAGO 1161
FALSTAFF 1117
KING HENRY V 1086
BRUTUS 1051
OTHELLO 928
MARK ANTONY 927
KING HENRY VI 917
DUKE VINCENTIO 909
我已经花了几个小时在网上搜索这个问题，但我的理由无法理解。我究竟做错了什么？
你介意加入一个答案，告诉您如何解决呢？这将有助于其他谁在未来找到你的问题:) –