ElasticSearch使用（嵌套查询、嵌套高亮）
嵌套查询
当ES的一条文档中的数据是一个数组，数组中有多个对象时，普通的查询不再适用，比如：
{
"_index" : "t_trace_index-2019.08.11.15",
"_type" : "_doc",
"_id" : "c8fc4f6f0bcd^1565435961237^3980",
"_score" : 11.434727,
"_routing" : "c8fc4f6f0bcd^1565435961237^3980",
"_source" : {
"type" : "pdoc",
"calls" : [
{
"bizParams" : """{"input":{"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]},"OPER_ID":"10034571"}}""",
"callee" : "test-busi-ocrm-yyt",
"caller" : "test-busi-cust-yyt",
"rpc" : "CSF_SEC_OPERM_OPIDQQUERY_002",
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"ts" : 1565507717426
},
{
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"caller" : "test-busi-cust-yyt",
"rpc" : "ocrm_ICbossCSV_idCheck",
"callee" : "test-busi-ocrm-yyt",
"ts" : 1565507717915,
"bizParams" : """{"input":{"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]},"RSP_JSON_STR":"{\"IdCheck\":{\"Seq\":\"10020190811151517510040\",\"CustomerName\":\"786382D36B599DF8D3C312272A75AD81\",\"IDCardType\":\"04\",\"IDCardNum\":\"99425ED800E46883C131C544E9F8BAD9\",\"ChannelId\":\"210000000100001\",\"MsOpcode\":\"C8000\"}}"}}"""
},
{
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"caller" : "test-busi-rule-yyt",
"rpc" : "cust_IOneCardFiveUserCSV_idCheck",
"callee" : "test-busi-cust-yyt",
"ts" : 1565507717985,
"bizParams" : """{"input":{"CERT_CODE":"523453","CODE_TYPE":"CM_CERT_TYPE_CHECKCODE","CUST_NAME":"对方八年","CERT_TYPE":"3","CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]}}}"""
}
],
"id" : "c8fc4f6f0bcd^1565435961237^3980",
"timestamp" : 1565507717426,
"trace_join" : {
"name" : "pdoc"
}
}
}
这时候就需要使用嵌套查询（nested）
bool 查询
| 查询字句 | 说明 | 类型 |
|---|---|---|
| must | 文档必须匹配must查询条件（AND） | 数组 |
| should | 匹配should的一个或多个（OR） | 数组 |
| must_not | 文档不能匹配该查询条件 | 数组 |
| filter | 过滤，文档需要匹配过滤条件，功能和must一样，不过filter不参与评分 | 数组 |
must、should关系
1、只有must
must中条件必须满足
2、只有should
没有must，只有should，那么should中必须至少匹配一个才行
3、must和should同时存在
如果must中条件匹配，那么should可以不匹配，所以如果查询语句中must、should同时存在，又不设置should最小满足条数，那么should条件有时是不会生效的
项目使用场景：
快速定位功能，需要输入关键字和各种过滤条件，关键字有三种类型，查询时，每个关键字都需要搜索一遍，考虑的是关键字使用should，只要有一种关键字类型满足即可，过滤条件使用must，需要全都满足，在没有指定should最小满足条数时，发现关键字可以输入任意值，只要过滤条件满足就可以查询出结果，关键字没有起作用，在增加should最小满足条数为1之后，设置should至少满足一条，查询结果正确
4、怎样设置should必须满足、最小满足条数
可以设置should中必须匹配多少个，参数"minimum_should_match": "1"，也可以设置匹配百分比"minimum_should_match":75%
Java代码
BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();
boolQueryBuilder.should(QueryBuilders.nestedQuery("calls", QueryBuilders.boolQuery().must(QueryBuilders.matchPhraseQuery("calls.bizParams", keyword)), ScoreMode.Avg));
boolQueryBuilder.should(QueryBuilders.nestedQuery("calls", QueryBuilders.boolQuery().must(QueryBuilders.termQuery("calls.rpc", keyword)), ScoreMode.Avg));
boolQueryBuilder.should(QueryBuilders.nestedQuery("calls", QueryBuilders.boolQuery().must(QueryBuilders.termQuery("calls.traceId", keyword)), ScoreMode.Avg));
// 设置should必须匹配多少条
boolQueryBuilder.minimumShouldMatch(1);
DSL查询语句
"should": [
{
"nested": {
"query": {
"bool": {
"must": [
{
"match_phrase": {
"calls.bizParams": {
"query": "input",
"slop": 0,
"zero_terms_query": "NONE",
"boost": 1
}
}
}
],
"adjust_pure_negative": true,
"boost": 1
}
},
"path": "calls",
"ignore_unmapped": false,
"score_mode": "avg",
"boost": 1,
}
},
{
"nested": {
"query": {
"bool": {
"must": [
{
"term": {
"calls.rpc": {
"value": "input",
"boost": 1
}
}
}
],
"adjust_pure_negative": true,
"boost": 1
}
},
"path": "calls",
"ignore_unmapped": false,
"score_mode": "avg",
"boost": 1
}
},
{
"nested": {
"query": {
"bool": {
"must": [
{
"term": {
"calls.traceId": {
"value": "input",
"boost": 1
}
}
}
],
"adjust_pure_negative": true,
"boost": 1
}
},
"path": "calls",
"ignore_unmapped": false,
"score_mode": "avg",
"boost": 1
}
}
],
"adjust_pure_negative": true,
"minimum_should_match": "1",
"boost": 1
设置should中三个条件至少有一个匹配才行
查询高亮
1. 普通查询高亮
java代码
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.field("calls.bizParams");
//高亮标签
highlightBuilder.preTags("<em>").postTags("</em>");
//高亮内容长度
highlightBuilder.fragmentSize(200);
// 创建并设置SearchSourceBuilder对象
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
searchSourceBuilder.highlighter(highlightBuilder);
DSL查询语句
{
"from": 0,
"size": 5000,
"timeout": "2000ms",
"query": {
"bool": {
"should": [
{
"nested": {
"query": {
"bool": {
"must": [
{
"match_phrase": {
"calls.bizParams": {
"query": "cb47bea067fc^1565266299866^564",
"slop": 0,
"zero_terms_query": "NONE",
"boost": 1
}
}
}
],
"adjust_pure_negative": true,
"boost": 1
}
},
"path": "calls",
"ignore_unmapped": false,
"score_mode": "none",
"boost": 1
}
}
],
"adjust_pure_negative": true,
"boost": 1,
"minimum_should_match": "1"
}
},
"highlight": {
"pre_tags": [
"<em>"
],
"post_tags": [
"</em>"
],
"fragment_size": 200,
"fields": {
"calls.traceId": {}
}
}
}
2. 嵌套查询高亮
在嵌套查询时，如果使用普通高亮查询，会有一个问题，因为一个文档数据记录中可能会有多个对象，所以一条文档可能会有多个满足高亮的字段，而普通高亮只会把高亮的字段在数组中罗列出来，并不知道一条高亮字段属于文档中的哪个对象
普通DSL查询语句
{
"from": 0,
"size": 5000,
"timeout": "2000ms",
"query": {
"bool": {
"should": [
{
"nested": {
"query": {
"bool": {
"must": [
{
"match_phrase": {
"calls.traceId": {
"query": "cb47bea067fc^1565266299866^564",
"slop": 0,
"zero_terms_query": "NONE",
"boost": 1
}
}
}
],
"adjust_pure_negative": true,
"boost": 1
}
},
"path": "calls",
"ignore_unmapped": false,
"score_mode": "none",
"boost": 1
}
}
],
"adjust_pure_negative": true,
"boost": 1,
"minimum_should_match": "1"
}
},
"highlight": {
"pre_tags": [
"<em>"
],
"post_tags": [
"</em>"
],
"fragment_size": 200,
"fields": {
"calls.traceId": {}
}
}
}
查询结果：
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 2.0,
"hits" : [
{
"_index" : "t_trace_index-2019.08.08.20",
"_type" : "_doc",
"_id" : "cb47bea067fc^1565266299866^564",
"_score" : 2.0,
"_routing" : "cb47bea067fc^1565266299866^564",
"_source" : {
"calls" : [
{
"traceId" : "cb47bea067fc^1565266299866^564"
},
{
"traceId" : "cb47bea067fc^1565266299866^564"
}
],
"id" : "cb47bea067fc^1565266299866^564",
"timestamp" : 1565268881001,
"trace_join" : {
"name" : "pdoc"
},
"type" : "pdoc"
},
"highlight" : {
"calls.traceId" : [
"<em>cb47bea067fc^1565266299866^564</em>",
"<em>cb47bea067fc^1565266299866^564</em>"
]
}
}
]
}
这里对traceId字段使用了高亮查询，可以看到这里高亮匹配到了两条，而除了高亮字段外无任何信息，无法知道高亮语句属于文档数组中的哪个对象，这种高亮方法只适用于非嵌套查询，一条文档中一个对象，高亮字段只会有一个
嵌套查询高亮代码
HighlightBuilder highlightBuilder = new HighlightBuilder();
// 高亮字段
highlightBuilder.field("calls.bizParams");
// 高亮标签
highlightBuilder.preTags("<em>").postTags("</em>");
//highlightBuilder.order("score");
// 高亮内容长度
highlightBuilder.fragmentSize(200);
BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();
// 嵌套查询使用高亮
boolQueryBuilder.should(QueryBuilders.nestedQuery("calls", QueryBuilders.boolQuery().must(QueryBuilders.matchPhraseQuery("calls.bizParams", keyword)), ScoreMode.Avg).innerHit(new InnerHitBuilder().setHighlightBuilder(highlightBuilder)));
嵌套查询高亮DSL查询语句
"query": {
"bool": {
"must": [
{
"nested": {
"query": {
"bool": {
"must": [
{
"term": {
"calls.traceId": {
"value": "c8fc4f6f0bcd^1565435961237^3980",
"boost": 1
}
}
}
],
"adjust_pure_negative": true,
"boost": 1
}
},
"path": "calls",
"ignore_unmapped": false,
"score_mode": "avg",
"boost": 1
}
}
],
"filter": [
{
"nested": {
"query": {
"range": {
"calls.ts": {
"from": 1564589746707,
"to": 1565590046000,
"include_lower": true,
"include_upper": true,
"boost": 1
}
}
},
"path": "calls",
"ignore_unmapped": false,
"score_mode": "none",
"boost": 1
}
}
],
"should": [
{
"nested": {
"query": {
"bool": {
"must": [
{
"match_phrase": {
"calls.bizParams": {
"query": "input",
"slop": 0,
"zero_terms_query": "NONE",
"boost": 1
}
}
}
],
"adjust_pure_negative": true,
"boost": 1
}
},
"path": "calls",
"ignore_unmapped": false,
"score_mode": "avg",
"boost": 1,
"inner_hits": {
"ignore_unmapped": false,
"from": 0,
"size": 3,
"version": false,
"seq_no_primary_term": false,
"explain": false,
"track_scores": false,
"highlight": {
"pre_tags": [
"<em>"
],
"post_tags": [
"</em>"
],
"fragment_size": 200,
"fields": {
"calls.bizParams": {}
}
}
}
}
},
{
"nested": {
"query": {
"bool": {
"must": [
{
"term": {
"calls.rpc": {
"value": "input",
"boost": 1
}
}
}
],
"adjust_pure_negative": true,
"boost": 1
}
},
"path": "calls",
"ignore_unmapped": false,
"score_mode": "avg",
"boost": 1
}
},
{
"nested": {
"query": {
"bool": {
"must": [
{
"term": {
"calls.traceId": {
"value": "input",
"boost": 1
}
}
}
],
"adjust_pure_negative": true,
"boost": 1
}
},
"path": "calls",
"ignore_unmapped": false,
"score_mode": "avg",
"boost": 1
}
}
],
"adjust_pure_negative": true,
"minimum_should_match": "1",
"boost": 1
}
}
查询结果，为了减小篇幅，删除无意义字段：
{
"took" : 42,
"timed_out" : false,
"_shards" : {
"total" : 430,
"successful" : 430,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 11.434727,
"hits" : [
{
"_index" : "t_trace_index-2019.08.11.15",
"_type" : "_doc",
"_id" : "c8fc4f6f0bcd^1565435961237^3980",
"_score" : 11.434727,
"_routing" : "c8fc4f6f0bcd^1565435961237^3980",
"_source" : {
"type" : "pdoc",
"calls" : [
{
"bizParams" : """{"input":{"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]},"OPER_ID":"10034571"}}""",
"rpc" : "CSF_SEC_OPERM_OPIDQQUERY_002",
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"ts" : 1565507717426
},
{
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"rpc" : "ocrm_ICbossCSV_idCheck",
"ts" : 1565507717915,
"bizParams" : """{"input":{"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]},"RSP_JSON_STR":"{\"IdCheck\":{\"Seq\":\"10020190811151517510040\",\"CustomerName\":\"786382D36B599DF8D3C312272A75AD81\",\"IDCardType\":\"04\",\"IDCardNum\":\"99425ED800E46883C131C544E9F8BAD9\",\"ChannelId\":\"210000000100001\",\"MsOpcode\":\"C8000\"}}"}}"""
},
{
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"rpc" : "cust_IOneCardFiveUserCSV_idCheck",
"ts" : 1565507717985,
"bizParams" : """{"input":{"CERT_CODE":"523453","CODE_TYPE":"CM_CERT_TYPE_CHECKCODE","CUST_NAME":"对方八年","CERT_TYPE":"3","CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]}}}"""
},
{
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"rpc" : "cust_IBackListCSV_queryBlackInfo",
"bizParams" : """{"input":{"CERT_CODE":"523453","START_NUM":-1,"CERT_TYPE":3,"PARTY_NAME":"","END_NUM":-1,"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]}}}""",
"ts" : 1565507717360
},
{
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"rpc" : "cust_IRealNameCSV_getRealNameCountByPhoneOrIden",
"ts" : 1565507717409,
"bizParams" : """{"input":{"CERT_CODE":"523453","BILL_ID":"","CERT_TYPE":"3","CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]}}}"""
},
{
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"rpc" : "CSF_RULE_COMMON_RULESCHECK_001",
"ts" : 1565507717366,
"bizParams" : """{"input":{"RULE_MAP":{"ORDER_OBJ_MAP":{"CUST_DC":{"CUST_CERT_TYPE":"3","CUST_NAME":"对方八年","CUST_CERT_CODE":"523453"}}},"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]},"RULE_IDS":"100001049"}}"""
},
{
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"rpc" : "CSF_RULE_COMMON_RULESCHECK_001",
"ts" : 1565507717992,
"bizParams" : """{"input":{"RULE_MAP":{"ORDER_OBJ_MAP":{"CUST_DC":{"CUST_CERT_TYPE":"3","CUST_NAME":"对方八年","CUST_CERT_CODE":"523453"}}},"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]},"RULE_IDS":"100060110"}}"""
},
{
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"rpc" : "/web-crm/",
"ts" : 1565507718017
}
],
"id" : "c8fc4f6f0bcd^1565435961237^3980",
"timestamp" : 1565507717426,
"trace_join" : {
"name" : "pdoc"
}
},
"inner_hits" : {
"calls" : {
"hits" : {
"total" : {
"value" : 7,
"relation" : "eq"
},
"max_score" : 9.85075E-6,
"hits" : [
{
"_index" : "t_trace_index-2019.08.11.15",
"_type" : "_doc",
"_id" : "c8fc4f6f0bcd^1565435961237^3980",
"_nested" : {
"field" : "calls",
"offset" : 0
},
"_score" : 9.85075E-6,
"_source" : {
"bizParams" : """{"input":{"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]},"OPER_ID":"10034571"}}""",
"rpc" : "CSF_SEC_OPERM_OPIDQQUERY_002",
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"ts" : 1565507717426
},
"highlight" : {
"calls.bizParams" : [
"""{"<em>input</em>":{"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]},"OPER_ID":"10034571"}}"""
]
}
},
{
"_index" : "t_trace_index-2019.08.11.15",
"_type" : "_doc",
"_id" : "c8fc4f6f0bcd^1565435961237^3980",
"_nested" : {
"field" : "calls",
"offset" : 1
},
"_score" : 9.85075E-6,
"_source" : {
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"rpc" : "ocrm_ICbossCSV_idCheck",
"ts" : 1565507717915,
"bizParams" : """{"input":{"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]},"RSP_JSON_STR":"{\"IdCheck\":{\"Seq\":\"10020190811151517510040\",\"CustomerName\":\"786382D36B599DF8D3C312272A75AD81\",\"IDCardType\":\"04\",\"IDCardNum\":\"99425ED800E46883C131C544E9F8BAD9\",\"ChannelId\":\"210000000100001\",\"MsOpcode\":\"C8000\"}}"}}"""
},
"highlight" : {
"calls.bizParams" : [
"""{"<em>input</em>":{"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]},"RSP_JSON_STR":"{\"IdCheck\":{\"Seq\":\"10020190811151517510040\",\"CustomerName\":\"786382D36B599DF8D3C312272A75AD81\",\"IDCardType\":\"04\",\""""
]
}
},
{
"_index" : "t_trace_index-2019.08.11.15",
"_type" : "_doc",
"_id" : "c8fc4f6f0bcd^1565435961237^3980",
"_nested" : {
"field" : "calls",
"offset" : 2
},
"_score" : 9.85075E-6,
"_source" : {
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"rpc" : "cust_IOneCardFiveUserCSV_idCheck",
"ts" : 1565507717985,
"bizParams" : """{"input":{"CERT_CODE":"523453","CODE_TYPE":"CM_CERT_TYPE_CHECKCODE","CUST_NAME":"对方八年","CERT_TYPE":"3","CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]}}}"""
},
"highlight" : {
"calls.bizParams" : [
"""{"<em>input</em>":{"CERT_CODE":"523453","CODE_TYPE":"CM_CERT_TYPE_CHECKCODE","CUST_NAME":"对方八年","CERT_TYPE":"3","CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]}}}"""
]
}
}
]
}
}
}
}
]
}
}
这里对bizParams字段使用嵌套高亮查询，注意看这里的结果和前面查询结果的区别，可以看到查询结果中有inner_hits这个字段
"inner_hits" : {
"calls" : {
"hits" : {
"total" : {
"value" : 7,
"relation" : "eq"
},
"max_score" : 9.85075E-6,
"hits" : [
{
"_index" : "t_trace_index-2019.08.11.15",
"_type" : "_doc",
"_id" : "c8fc4f6f0bcd^1565435961237^3980",
"_nested" : {
"field" : "calls",
"offset" : 0
},
"_score" : 9.85075E-6,
"_source" : {
"bizParams" : """{"input":{"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]},"OPER_ID":"10034571"}}""",
"rpc" : "CSF_SEC_OPERM_OPIDQQUERY_002",
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"ts" : 1565507717426
},
"highlight" : {
"calls.bizParams" : [
"""{"<em>input</em>":{"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]},"OPER_ID":"10034571"}}"""
]
}
},
{
"_index" : "t_trace_index-2019.08.11.15",
"_type" : "_doc",
"_id" : "c8fc4f6f0bcd^1565435961237^3980",
"_nested" : {
"field" : "calls",
"offset" : 1
},
"_score" : 9.85075E-6,
"_source" : {
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"rpc" : "ocrm_ICbossCSV_idCheck",
"ts" : 1565507717915,
"bizParams" : """{"input":{"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]},"RSP_JSON_STR":"{\"IdCheck\":{\"Seq\":\"10020190811151517510040\",\"CustomerName\":\"786382D36B599DF8D3C312272A75AD81\",\"IDCardType\":\"04\",\"IDCardNum\":\"99425ED800E46883C131C544E9F8BAD9\",\"ChannelId\":\"210000000100001\",\"MsOpcode\":\"C8000\"}}"}}"""
},
"highlight" : {
"calls.bizParams" : [
"""{"<em>input</em>":{"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]},"RSP_JSON_STR":"{\"IdCheck\":{\"Seq\":\"10020190811151517510040\",\"CustomerName\":\"786382D36B599DF8D3C312272A75AD81\",\"IDCardType\":\"04\",\""""
]
}
},
{
"_index" : "t_trace_index-2019.08.11.15",
"_type" : "_doc",
"_id" : "c8fc4f6f0bcd^1565435961237^3980",
"_nested" : {
"field" : "calls",
"offset" : 2
},
"_score" : 9.85075E-6,
"_source" : {
"traceId" : "c8fc4f6f0bcd^1565435961237^3980",
"rpc" : "cust_IOneCardFiveUserCSV_idCheck",
"ts" : 1565507717985,
"bizParams" : """{"input":{"CERT_CODE":"523453","CODE_TYPE":"CM_CERT_TYPE_CHECKCODE","CUST_NAME":"对方八年","CERT_TYPE":"3","CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]}}}"""
},
"highlight" : {
"calls.bizParams" : [
"""{"<em>input</em>":{"CERT_CODE":"523453","CODE_TYPE":"CM_CERT_TYPE_CHECKCODE","CUST_NAME":"对方八年","CERT_TYPE":"3","CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]}}}"""
]
}
}
]
}
}
}
这里面就是高亮命中的信息，每有一条高亮数据命中，在inner_hits的hit数组中，都会有一条命中对象，相当于把数组中命中的对象字段高亮之后生成了一个新的对象，包括：
位置信息：
"_nested" : {
"field" : "calls",
"offset" : 0
}
offset：高亮命中数据在查询命中结果中的位置，这里表示高亮对象在查询结果中排在第一位，就可以根据这个位置对原来对象中的属性进行修改，例如使用高亮后字段替换原来的字段
高亮后的字段：
"highlight" : {
"calls.bizParams" : [
"""{"<em>input</em>":{"CONTROL_IN_PARAM":{"DATA_STATE":["DATA_ALL"]},"OPER_ID":"10034571"}}"""
]
}
…
等其他的信息，这个可以按需了解
