elasticsearch 术语聚合 not_analyzed 字符串 returns 具有非常低文档计数的桶
elasticsearch term aggregation over not_analyzed string returns buckets with very low doc count
在使用 AWS Elasticsearch (2.3) 时，我加载了一些示例数据
https://www.elastic.co/guide/en/kibana/3.0/snippets/shakespeare.json 具有以下映射
$ 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 查询整个数据的发言者人数时，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
}
聚合桶中的文档计数似乎非常低。我希望看到的是以下具有文档计数的演讲者（以下是我通过显式评估整个数据的演讲者人数计算得出的）：
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
我花了几个小时在网上搜索这个问题的原因，但我无法理解。我做错了什么？
根本原因是映射错误和数据搜索方式。应该为 doc_type:'line' 设置映射时，只为 doc_type:'act' 设置映射，而且搜索不应该覆盖所有内容，而只是 doc_type :'line'.
详细答案：
按照此页面中的示例：https://www.elastic.co/guide/en/elasticsearch/guide/current/aggregations-and-analysis.html我意识到错误出在映射中。
之前：
- 我没有意识到原始数据集有多个 doc_type。
- 在映射中，只有 doc_type:'act' 具有字段：'speaker' 和 not_analyzed 版本
- 我在搜索时没有设置任何 doc_type
- 我原以为结果会把 doc_type:line 的扬声器丢掉，而实际上 doc_type 根本没有任何 'speaker.raw' 属性。
- 鉴于此，问题中的计数也是错误的。
之后：
- 新映射为每个 doc_type 字段添加一个多字段：'speaker'：act/scene/line。这是speaker.raw，未分析。
- 新的搜索，正确搜索台词的说话人，这是初衷。
弹性搜索的结果现在与我从该数据集中手动获取的计数相匹配。 doc_type:line 中前 10 位演讲者的当前人数如下：
1907 年格洛斯特
哈姆雷特 1572
伊阿古 1153
福斯塔夫 1109
亨利五世 1076
布鲁图斯 1043
奥赛罗 928
马克·安东尼 915
亨利六世 909
文森西奥公爵 901
这是正确的映射：
{
"shakespeare" : {
"mappings" : {
"line" : {
"properties" : {
"line_id" : {
"type" : "integer"
},
"line_number" : {
"type" : "string"
},
"play_name" : {
"type" : "string",
"fields" : {
"raw" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"speaker" : {
"type" : "string",
"fields" : {
"raw" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"speech_number" : {
"type" : "integer"
},
"text_entry" : {
"type" : "string"
}
}
},
"act" : {
"properties" : {
"line_id" : {
"type" : "integer"
},
"line_number" : {
"type" : "string"
},
"play_name" : {
"type" : "string",
"fields" : {
"raw" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"speaker" : {
"type" : "string",
"fields" : {
"raw" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"speech_number" : {
"type" : "integer"
},
"text_entry" : {
"type" : "string"
}
}
},
"scene" : {
"properties" : {
"line_id" : {
"type" : "integer"
},
"line_number" : {
"type" : "string"
},
"play_name" : {
"type" : "string",
"fields" : {
"raw" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"speaker" : {
"type" : "string",
"fields" : {
"raw" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"speech_number" : {
"type" : "integer"
},
"text_entry" : {
"type" : "string"
}
}
}
}
}
}
有了新的映射，结果看起来是正确的：
curl -XPOST "https://my_es_id/shakespeare/line/_search" -d'
{
"aggs" : {
"speakers" : {
"terms" : { "field" : "speaker.raw"}
}
}
}'
{
"_shards": {
"failed": 0,
"successful": 5,
"total": 5
},
"aggregations": {
"speakers": {
"buckets": [
{
"doc_count": 1907,
"key": "GLOUCESTER"
},
{
"doc_count": 1572,
"key": "HAMLET"
},
{
"doc_count": 1153,
"key": "IAGO"
},
{
"doc_count": 1109,
"key": "FALSTAFF"
},
{
"doc_count": 1076,
"key": "KING HENRY V"
},
{
"doc_count": 1043,
"key": "BRUTUS"
},
{
"doc_count": 928,
"key": "OTHELLO"
},
{
"doc_count": 915,
"key": "MARK ANTONY"
},
{
"doc_count": 909,
"key": "KING HENRY VI"
},
{
"doc_count": 901,
"key": "DUKE VINCENTIO"
}
],
"doc_count_error_upper_bound": 461,
"sum_other_doc_count": 94715
}
},
"hits": {
"hits": [
{
"_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"
},
{
"_id": "44",
"_index": "shakespeare",
"_score": 1.0,
"_source": {
"line_id": 45,
"line_number": "1.1.42",
"play_name": "Henry IV",
"speaker": "WESTMORELAND",
"speech_number": 2,
"text_entry": "A thousand of his people butchered;"
},
"_type": "line"
}
],
"max_score": 1.0,
"total": 106228
},
"timed_out": false,
"took": 48
}
在使用 AWS Elasticsearch (2.3) 时，我加载了一些示例数据 https://www.elastic.co/guide/en/kibana/3.0/snippets/shakespeare.json 具有以下映射
$ 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 查询整个数据的发言者人数时，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
}
聚合桶中的文档计数似乎非常低。我希望看到的是以下具有文档计数的演讲者（以下是我通过显式评估整个数据的演讲者人数计算得出的）：
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
我花了几个小时在网上搜索这个问题的原因，但我无法理解。我做错了什么？
根本原因是映射错误和数据搜索方式。应该为 doc_type:'line' 设置映射时，只为 doc_type:'act' 设置映射，而且搜索不应该覆盖所有内容，而只是 doc_type :'line'.
详细答案：
按照此页面中的示例：https://www.elastic.co/guide/en/elasticsearch/guide/current/aggregations-and-analysis.html我意识到错误出在映射中。
之前：
- 我没有意识到原始数据集有多个 doc_type。
- 在映射中，只有 doc_type:'act' 具有字段：'speaker' 和 not_analyzed 版本
- 我在搜索时没有设置任何 doc_type
- 我原以为结果会把 doc_type:line 的扬声器丢掉，而实际上 doc_type 根本没有任何 'speaker.raw' 属性。
- 鉴于此，问题中的计数也是错误的。
之后：
- 新映射为每个 doc_type 字段添加一个多字段：'speaker'：act/scene/line。这是speaker.raw，未分析。
- 新的搜索，正确搜索台词的说话人，这是初衷。
弹性搜索的结果现在与我从该数据集中手动获取的计数相匹配。 doc_type:line 中前 10 位演讲者的当前人数如下：
1907 年格洛斯特 哈姆雷特 1572 伊阿古 1153 福斯塔夫 1109 亨利五世 1076 布鲁图斯 1043 奥赛罗 928 马克·安东尼 915 亨利六世 909 文森西奥公爵 901
这是正确的映射：
{
"shakespeare" : {
"mappings" : {
"line" : {
"properties" : {
"line_id" : {
"type" : "integer"
},
"line_number" : {
"type" : "string"
},
"play_name" : {
"type" : "string",
"fields" : {
"raw" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"speaker" : {
"type" : "string",
"fields" : {
"raw" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"speech_number" : {
"type" : "integer"
},
"text_entry" : {
"type" : "string"
}
}
},
"act" : {
"properties" : {
"line_id" : {
"type" : "integer"
},
"line_number" : {
"type" : "string"
},
"play_name" : {
"type" : "string",
"fields" : {
"raw" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"speaker" : {
"type" : "string",
"fields" : {
"raw" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"speech_number" : {
"type" : "integer"
},
"text_entry" : {
"type" : "string"
}
}
},
"scene" : {
"properties" : {
"line_id" : {
"type" : "integer"
},
"line_number" : {
"type" : "string"
},
"play_name" : {
"type" : "string",
"fields" : {
"raw" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"speaker" : {
"type" : "string",
"fields" : {
"raw" : {
"type" : "string",
"index" : "not_analyzed"
}
}
},
"speech_number" : {
"type" : "integer"
},
"text_entry" : {
"type" : "string"
}
}
}
}
}
}
有了新的映射，结果看起来是正确的：
curl -XPOST "https://my_es_id/shakespeare/line/_search" -d'
{
"aggs" : {
"speakers" : {
"terms" : { "field" : "speaker.raw"}
}
}
}'
{
"_shards": {
"failed": 0,
"successful": 5,
"total": 5
},
"aggregations": {
"speakers": {
"buckets": [
{
"doc_count": 1907,
"key": "GLOUCESTER"
},
{
"doc_count": 1572,
"key": "HAMLET"
},
{
"doc_count": 1153,
"key": "IAGO"
},
{
"doc_count": 1109,
"key": "FALSTAFF"
},
{
"doc_count": 1076,
"key": "KING HENRY V"
},
{
"doc_count": 1043,
"key": "BRUTUS"
},
{
"doc_count": 928,
"key": "OTHELLO"
},
{
"doc_count": 915,
"key": "MARK ANTONY"
},
{
"doc_count": 909,
"key": "KING HENRY VI"
},
{
"doc_count": 901,
"key": "DUKE VINCENTIO"
}
],
"doc_count_error_upper_bound": 461,
"sum_other_doc_count": 94715
}
},
"hits": {
"hits": [
{
"_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"
},
{
"_id": "44",
"_index": "shakespeare",
"_score": 1.0,
"_source": {
"line_id": 45,
"line_number": "1.1.42",
"play_name": "Henry IV",
"speaker": "WESTMORELAND",
"speech_number": 2,
"text_entry": "A thousand of his people butchered;"
},
"_type": "line"
}
],
"max_score": 1.0,
"total": 106228
},
"timed_out": false,
"took": 48
}