text_match_phrase is only supported for TEXT field in filter conditions in search index OTSQuotaExhausted The sql scanned rows of kv exceeds the quota!Search quota is 100000 rows,table quota is 100000 rows 选择KV引擎作为...
autonlp-gibberish-detector","target_field":"inference_results","field_map":{"text_field":"text_field"} } }]} es.ingest.put_pipeline(id='gibberish_detection_pipeline2',body=pipeline_body)#使用管道更新现有文档 es.update_by_...
简介 获取指定索引上某个...boolean init(OpsScorerInitParams params){_fieldLength=FieldLength.create(params,"text_index1","text_field");return true;} double score(OpsScoreParams params){ return_fieldLength.evaluate(params);} }
boolean init(OpsScorerInitParams params){_f1=QueryMinSlideWindow.create(params,"pack_index1","text_field");f2=QueryMinSlideWindow.create(params,"pack_index1","text_field",true);return true;} double score(OpsScoreParams ...
less_than 的第一次使用将会采用 text_field_1 和 text_field_2 共同的排序规则进行比较,而第二次使用将采用 C 排序规则。此外,被确定的排序规则也被假定为任何可排序数据类型本地变量的排序规则。因此,当这个函数被写为以下形式时,它...
PUT_ingest/pipeline/text-embedding-pipeline {"processors":[{"inference":{"model_id":"models-thenlper-gte-large-zh","target_field":"text_embedding","field_map":{"context":"text_field"} } }]}#创建索引mapping,指定ingest ...
简介 用于判断查询词的核心词与指定字段...boolean init(OpsScorerInitParams params){_f1=KeyWordsMatched.create(params,"pack_index1","text_field");return true;} double score(OpsScoreParams params){ return_f1.evaluate(params);} };
简介 计算查询词中命中的词组个数...boolean init(OpsScorerInitParams params){_f1=QueryTermMatchCount.create(params,"pack_index2","text_field1");return true;} double score(OpsScoreParams params){ return_f1.evaluate(params);} };
PUT/my_index{"mappings":{"properties":{"my_text_field":{"type":"text","fielddata":true } } } } 如果您不希望某个字段参与聚合,可以根据您的应用逻辑选择以下任一方式:通过设置enabled属性为false来排除整个对象字段。选择不将非...
id|ary|obj|num|id|ary|obj|num-+-+-+-+-+-+-+-2|{2,5}|{"obj":2}|5|1|{2,5}|{"obj":2}|5(1 row)=>select*from tj,tj2 where json_object_field_text(tj.obj,'obj')=json_object_field_text(tj2.obj,'obj');id|ary|obj|num|id|ary|obj|num-...
fields配置"fileds":[{"field_name":"title","field_type":"TEXT","analyzer":"chn_standard"},{"field_name":"dup_title","field_type":"TEXT","analyzer":"fuzzy""user_defined_param":{"copy_from":"title"} },{"field_name":...
fields配置"fileds":[{"field_name":"title","field_type":"TEXT","analyzer":"chn_standard"},{"field_name":"dup_title","field_type":"TEXT","analyzer":"fuzzy""user_defined_param":{"copy_from":"title"} },{"field_name":...
index_fields:表示需要进入该index的field,field必须为TEXT类型,而且需要使用相同的分析器。boost:配置建立索引的field的名字以及该field在这个索引中的权重(boost的值)。index_analyzer:配置查询过程中的分词器。如果配置了该分词...
index_fields:表示需要进入该index的field,field必须为TEXT类型,而且需要使用相同的分析器。boost:配置建立索引的field的名字以及该field在这个索引中的权重(boost的值)。index_analyzer:配置查询过程中的分词器。如果配置了该分词...
Search timeline by SearchParameter.*/SearchParameter searchParameter=new SearchParameter(field("text").equals("fieldValue"));timelineStore.search(searchParameter);Search timeline by SearchQuery.*/TermQuery query=new ...
{"columns":[{"name":"id","type":"integer"},{"name":"addr","type":"text"},{"name":"name.first_name","type":"keyword"},{"name":"age","type":"integer"},{"name":"name.second_name","type":"keyword"}],"rows":[[1,"467 Hutchinson ...
本文为您介绍序列化方式和数据库传输到文本协议的数据格式。序列化方式的格式说明 您在使用数据传输同步源端数据至 Kafka、DataHub(BLOB 类型)和 RocketMQ 时,支持序列化方式控制数据同步至目标端的消息格式。序列化方式包括 Default、...
import java.lang.reflect.Field;import java.nio.charset.Charset;import java.nio.charset.StandardCharsets;import java.security.MessageDigest;import java.security.Permission;import java.security.PermissionCollection;import ...
对于通配符查询(WildcardQuery)中查询模式为*word*的场景,您可以使用模糊分词方式(即模糊分词和短语...assertEquals(String.format("field:[%s],searchContent:[%s]",fieldName,searchContent),exceptCount,response.getTotalCount());} }
创建SNAPPY压缩的表如下:CREATE TABLE persioninfo(id int,name text,address text,PRIMARY KEY(id,name))with compression={'class':'SnappyCompressor'};说明 compression 属性也可以通过 ALTER TABLE 语法进行修改设置。Extensions ...
public Text evaluate(Text a,Text b){ if(a=null|b=null){ return null;} ret.clear();ret.append(a.getBytes(),0,a.getLength());ret.append(b.getBytes(),0,b.getLength());return ret;} } MaxCompute还支持直接使用在其兼容的Hive版本...
json"].Default to"long".alias-(Optional)The alias of one field case_sensitive-(Optional)Whether the case sensitive for the field.Default to false.It is valid when"type"is"text"or"json".include_chinese-(Optional)Whether ...
compress_type":"equal"},{"field_name":"vector_source_text","field_type":"STRING","compress_type":"uniq"},{"field_name":"cate_id","field_type":"STRING","compress_type":"uniq"},{"user_defined_param":{"vector_model":"ops-...
and_agg'=>true,'store'=>true,'is_array'=>false),array('field_name'=>'text','field_type'=>FieldTypeConst:TEXT,'analyzer'=>'single_word','index'=>true,'enable_sort_and_agg'=>false,'store'=>true,'is_array'=>false),array('...
{"field_name":"fb_decimal","field_type":"DOUBLE"},{"field_name":"fb_bigint","field_type":"INT64","compress_type":"equal"},{"field_name":"fb_text","field_type":"TEXT","analyzer":"chn_standard"}]} 添加索引表 在实例管理界面,...
例如:schema配置 {"fields":[{"field_type":"INT64","field_name":"id"},{"field_type":"TEXT","field_name":"title","analyzer":"fuzzy"}],"summarys":{"compress":false,"summary_fields":["id","title"]},"indexs":[{"has_primary_key_...
例如:schema配置 {"fields":[{"field_type":"INT64","field_name":"id"},{"field_type":"TEXT","field_name":"title","analyzer":"fuzzy"}],"summarys":{"compress":false,"summary_fields":["id","title"]},"indexs":[{"has_primary_key_...
2112 排序表达式中的text_relevance(field),fieldterm_proximity(field)等文本feature中的field必须在查询的索引包含的源字段中,否则会报错,但不影响搜索结果。3007 对于API推送系统是有频率限制,请控制好频率重试。4003 可以先按照...
2112 排序表达式中的text_relevance(field)、fieldterm_proximity(field)等文本feature中的field必须在查询的索引包含的源字段中,否则会报错,但不影响搜索结果。3007 对于API推送系统是有频率限制,请控制好频率重试 4003 可以先按照文档...
schema { field_name="col2"field_type="Long"enable_sort_and_agg=true } field_schema { field_name="pk1"field_type="Long"} field_schema { field_name="pk2"field_type="Text"} index_setting { routing_fields=["pk1","pk2"]} index_...
} void logon(OCISvcCtx*svchp,OCIServer*srvhp,OCISession*authp,OCIError*errhp,OCIEnv*envhp,text*username,text*passwd,text*server){/*Now Starts our Logon to the Database Server which includes two*steps*1.Attaching to the ...
defined_param":{},"field_name":"title","field_type":"TEXT","analyzer":"chn_standard"},{"user_defined_param":{},"field_name":"embedding","field_type":"FLOAT","compress_type":"uniq","multi_value":true },{"field_name":"url",...
索引表结构介绍 每个Document都是由多个field组成,每个field中包含一系列的词语,构建索引的目的是为了加快检索的速度,根据映射关系方向的不同,索引可以分为:字段(filed):用于定义索引表的字段名及字段类型。倒排索引(index):倒...
body","field_type":"TEXT","analyzer":"simple_analyzer"},{"field_name":"sub_title","field_type":"TEXT","analyzer":"simple_analyzer"},{"field_name":"sub_multi","field_type":"INTEGER","multi_value":true }],"indexs":[{"index_...
update message with new field message.setField("text","new value");timelineQueue.update(sequenceId,message);UpdateAsync 通过SequenceId异步更新消息。您可以自定义回调,对成功或者失败做自定义处理。接口返回Future。...
field="embedding",#Search across embeddings param=search_params,limit=1,#Limit to five results per search output_fields=['text']#Include title field in result)ret=[]for hit in results[0]:ret.append(hit.entity.get('text'))...
语义检索 CREATE MODEL sr_model FROM doc_table TARGET doc_field TASK SEMANTIC_RETRIEVAL ALGORITHM TEXT2VEC_BASE_CHINESE SETTINGS(doc_id_column 'id');基础问答 CREATE MODEL qa_model FROM 'huggingface:/THUDM/chatglm-6b-int4' ...
fields=[field_a,field_b,field_c,field_d,field_e,field_n]index_setting=IndexSetting(routing_fields=['PK1'])index_sort=None#当多元索引中存在Nested类型字段时,不能设置索引预排序.#index_sort=Sort(sorters=[PrimaryKeySort...
对Text类型的列值和查询关键词会先按照设置好的分词器做切分,然后按照切分好后的词去查询。对于进行模糊分词的列,建议使用MatchPhraseQuery实现高性能的模糊查询。前提条件 已初始化OTSClient。具体操作,请参见 初始化。已创建数据表并...
name'=>'text','text'=>'text keyword')),'sort'=>array(array('field_sort'=>array('field_name'=>'keyword','order'=>SortOrderConst:SORT_ORDER_ASC)),)),'columns_to_get'=>array('return_type'=>ColumnReturnTypeConst:RETURN_...