一、题目
索引 task 索引中文档的 fielda
字段内容包括了 hello & world ,索引后,要求使用 match_phrase query 查询 hello & world 或者 hello and world 都能匹配该文档
1.1 考点
1.2 答案
rust
# 创建符合条件的 task 索引,设置 field 字段,并写入数据
PUT task
{
"settings": {
"analysis": {
"analyzer": {
"my_analyzer": {
"tokenizer": "standard",
"char_filter": [
"my_mappings_char_filter"
]
}
},
"char_filter": {
"my_mappings_char_filter": {
"type": "mapping",
"mappings": [
"& => and"
]
}
}
}
},
"mappings": {
"properties": {
"fielda":{
"type": "text",
"analyzer": "my_analyzer"
}
}
}
}
# 写入数据
POST task/_bulk
{"index":{}}
{"fielda":"hello & world"}
{"index":{}}
{"fielda":"hello and world"}
# 验证结果
GET task/_search
{
"query": {
"match_phrase": {
"fielda": "hello & world"
}
}
}
二、题目
有一个索引 task3
,其中有 fielda
,fieldb
,fieldc
,fielde
现要求对 task3
重建索引,重建后的索引新增一个字段 fieldg
其值是fielda
,fieldb
,fieldc
,fielde
的值拼接而成。
rust
# 创建符合条件的 task3 索引,设置 field 字段,并写入数据
PUT task3
{
"mappings": {
"properties": {
"fielda":{
"type": "keyword"
},
"fieldb":{
"type": "keyword"
},
"fieldc":{
"type": "keyword"
},
"fielde":{
"type": "keyword"
}
}
}
}
POST task3/_bulk
{"index":{}}
{"fielda":"aa","fieldb":"bb","fieldc":"cc","fielde":"dd"}
{"index":{}}
{"fielda":"中华","fieldb":"人民","fieldc":"共和国","fielde":"万岁"}
2.1 考点
2.2 答案
rust
# 预览脚本结果
POST _ingest/pipeline/_simulate
{
"pipeline": {
"processors": [
{
"script": {
"lang": "painless",
"source": """
ctx['fieldg'] = ctx['fielda'] + ' ' + ctx['fieldb'] + ' '+ctx['fieldc'] + ' ' + ctx['fielde'];
"""
}
}
]
},
"docs": [
{
"_source": {
"fielda":"中华","fieldb":"人民","fieldc":"共和国","fielde":"万岁"
}
}
]
}
# 定义脚本
PUT _ingest/pipeline/my_pipeline
{
"processors": [
{
"script": {
"lang": "painless",
"source": """
ctx['fieldg'] = ctx['fielda'] + ' ' + ctx['fieldb'] + ' '+ctx['fieldc'] + ' ' + ctx['fielde'];
"""
}
}
]
}
# 重建索引
POST _reindex
{
"source": {
"index": "task3"
},
"dest": {
"index": "task3_new",
"pipeline": "my_pipeline"
}
}
# 搜索结果
GET task3_new/_search