AS用来干嘛-AS用来干嘛文档介绍内容-阿里云

标准化

datetime from dual union all select '04' as col_string,13 as col_bigint,10.4 as col_double,cast(null as boolean)as col_boolean,cast('2016-07-05 10:00:00' as datetime)as col_datetime from dual union all select '05' as col_...

数字人服务SSML使用指南

say-as interpret-as="digits">12345</say-as>读手机号：<speak><say-as interpret-as="telephone">12345</say-as>读人名：她的曾用名是<say-as interpret-as="name">曾小凡</say-as>目前平台支持：人名、地址、车牌号、标点符号、...

DescribeSqlPattern-查询SQL模式

AS store_capacity,data_length AS data_bytes,index_length AS index_bytes,table_collation AS collation,auto_increment,table_rows AS num_rows,engine FROM information_schema.tables WHERE table_type!AND table_schema=?AND table_...

CAST

cast(string as datetime)或 cast(datetime as string)：会采用默认的日期格式 yyyy-mm-dd hh:mi:ss。除此之外，cast还支持基本数据类型与JSON类型之间的相互转换，所支持的类型包括：JSON/STRING/BIGINT/INT/TINYINT/SMALLINT/DOUBLE/...

k-Core

out_id,'3' as flow_in_id union all select '2' as flow_out_id,'4' as flow_in_id union all select '3' as flow_out_id,'4' as flow_in_id union all select '3' as flow_out_id,'5' as flow_in_id union all select '3' as flow_out_id...

CTE（2.0版）

WITH子句中定义的关系可以互相连接：WITH x AS(SELECT a FROM t),y AS(SELECT a AS b FROM x),z AS(SELECT b AS c FROM y)SELECT c FROM z;CTE后面必须直接跟使用CTE的SQL语句（如SELECT、INSERT、UPDATE等），否则CTE将失效。CTE后面也...

线性回归

0 as x2,'0:3.89' as sparsecol1 from dual union all select 40 as y,4.19 as x1,0 as x2,'0:4.19' as sparsecol1 from dual union all select 50 as y,5.76 as x1,0 as x2,'0:5.76' as sparsecol1 from dual union all select 60 as y,6....

Failed to parse response as json format

Failed to parse response as json format.Response:?xml version='1.0' encoding='UTF-8'?返回的格式是 xml，而期望返回是 json；在请求的时候可以设置参数 formatType 为 json。公共参数:Format 返回值的类型，支持 JSON 与 XML，默认为 ...

PS线性回归

create table lm_test_input as select*from(select cast(2 as BIGINT)as label,'1:0.55 2:0.15 3:0.82 4:0.99 5:0.17' as features union all select cast(1 as BIGINT)as label,'1:1.26 2:1.36 3:0.13 4:2.82 5:0.41' as features union ...

DescribeSqlPattern-查询SQL Pattern详情

AS store_capacity,data_length AS data_bytes,index_length AS index_bytes,table_collation AS collation,auto_increment,table_rows AS num_rows,engine FROM information_schema.tables WHERE table_type!AND table_schema=?AND table_...

点聚类系数

create table NodeDensity_func_test_edge as select*from(select '1' as flow_out_id,'2' as flow_in_id union all select '1' as flow_out_id,'3' as flow_in_id union all select '1' as flow_out_id,'4' as flow_in_id union all ...

视图和规则系统

CREATE VIEW myview AS SELECT*FROM mytab;与下面两个命令相比没有不同：CREATE TABLE myview(same column list as mytab);CREATE RULE"_RETURN"AS ON SELECT TO myview DO INSTEAD SELECT*FROM mytab;因为这就是 CREATE VIEW 命令在内部所...

查询语法

标准语法：SELECT语法的总体结构：[WITH with_subquery_table_name AS(query)]SELECT[DISTINCT]select_expr[,select_expr.][FROM table_reference[,.]][WHERE filter_condition][GROUP BY { expr|ROLLUP(expr_list)|CUBE(expr_list)|...

物化视图增量刷新（预览版）

适用场景物化视图常用来加速复杂查询或者简化ETL流程，物化视图的本质是将用户定义的查询提前计算好，按用户要求自动刷新视图中的数据。刷新的方式一般分为两种，全量刷新和增量刷新。两者区别如下：全量刷新每次重新运行SQL，将算好的新...

离散值特征分析

string,0 as col_bigint,1.0 as col_double union all select '01' as col_string,1 as col_bigint,cast(null as double)as col_double union all select '01' as col_string,1 as col_bigint,1.0 as col_double union all select '00' as ...

K近邻

create table pai_knn_test_input as select*from(select 1 as f0,2 as f1,'good' as class from dual union all select 1 as f0,3 as f1,'good' as class from dual union all select 1 as f0,4 as f1,'bad' as class from dual union all...

Dataphin即席查询报错“Metering data exceed max ...

'1,0')AS TINY_URL,SMS_SIGN AS SMS_SIGN,JOIN_ID AS JOIN_ID,MOBILE_SHA256 AS MOBILE_SHA256,RECIEVE_STATUS AS RECIEVE_STATUS,TEMPLATE_CODE AS TEMPLATE_CODE,RCD_TIME AS RCD_TIME,CRT_DATE AS CRT_DATE,RECEIVED_PROVIDER AS ...

CREATE CAST

语法 CREATE CAST(source_type AS target_type)WITH FUNCTION function_name[(argument_type[,.])][AS ASSIGNMENT|AS IMPLICIT]CREATE CAST(source_type AS target_type)WITHOUT FUNCTION[AS ASSIGNMENT|AS IMPLICIT]CREATE CAST(source_...

分析Nginx访问日志

request_uri:"/url2"|select count(1)as pv,approx_distinct(remote_addr)as uv,histogram(method)as method_pv,histogram(status)as status_pv,histogram(user_agent)as user_agent_pv,avg(request_time)as avg_latency,max(request_time)...

CAST函数

删除账号

SELECT s.srvname AS"Name",pg_catalog.pg_get_userbyid(s.srvowner)AS"Owner",f.fdwname AS"Foreign-data wrapper",pg_catalog.array_to_string(s.srvacl,E' ')AS"Access privileges",s.srvtype AS"Type",s.srvversion AS"Version",CASE ...

Create FJOB

flink_sqls 是 Flink SQL用来描述计算逻辑，详细语法，请参见 Flink社区文档。示例 CREATE FJOB order_compute(SET 'parallelism.default'='1';任务并发度 SET 'execution.checkpointing.interval'='60000';checkpoint周期 CREATE TABLE ...

如何快速搭建U2I2I召回服务

'10005' AS item_id,1.07 AS score UNION SELECT '10002' AS trigger_id,'10006' AS item_id,0.98 AS score UNION SELECT '10003' AS trigger_id,'10007' AS item_id,0.87 AS score;写入标识分区 INSERT OVERWRITE TABLE aime_example_i2i ...

自助健康检查常用命令

查询最近一天消耗比较高的Query select status as"状态",duration as"耗时(ms)",query_start as"开始时间",(read_bytes/1048576):text|' MB' as"读取量",(memory_bytes/1048576):text|' MB' as"内存",(shuffle_bytes/1048576):text|' MB' ...

慢查询诊断

SELECT(cpu_time_ms/1000):text|' s' AS"CPU时间",query_start AS"开始时间",query_end AS"结束时间",query_duration_ms AS"耗时(ms)",query_id AS"查询ID",query AS"查询SQL"FROM qmonitor.instance_slow_queries WHERE query_start>=now...

核密度估计函数

核密度估计（Kernel Density Estimation）在概率论中用来估计未知的密度函数，属于非参数检验方法之一。核密度估计函数采用平滑的峰值函数来拟合观察到的数据点，从而对真实的概率分布曲线进行模拟。函数格式 select kernel_density_...

UNNEST子句

number:[49,50,45,47,50]查询和分析语句*|SELECT sum(a)AS sum FROM log,UNNEST(cast(json_parse(number)as array(bigint)))AS t(a)查询和分析结果示例3 将 number 字段的值（array类型）展开为多行单列形式，并对各个值进行分组统计。...

ListOrders-获取工单列表信息

取值及说明如下：AS_ADMIN：工单大盘 AS_COMMITTER：我发起的工单 AS_HANDLER：待我处理的工单 AS_OWNER：我已处理的工单 AS_Related：与我相关 AS_COMMITTER SearchDateType string 否时间搜索条件，取值如下：CREATE_TIME：创建时间 ...

Table2KV

create table test as select*from(select 0 as rowid,1 as col0,1.1 as col1,2 as col2 from dual union all select 1 as rowid,0 as col0,1.2 as col1,3 as col2 from dual union all select 2 as rowid,1 as col0,2.3 as col1,4 as col2...

创建DataFrame

df2=DataFrame(df,unknown_as_string=True,as_type={'null_col2':'float'})print(df2.dtypes)返回结果：odps.Schema { sepallength float64 sepalwidth float64 petallength float64 petalwidth float64 name string null_col1 string#无法...

预测

create table pai_rf_test_input as select*from(select 1 as f0,2 as f1,"good"as class from dual union all select 1 as f0,3 as f1,"good"as class from dual union all select 1 as f0,4 as f1,"bad"as class from dual union all ...

联合日志服务查询分析智能接入网关流量

日志库用来存储流日志信息。更多参数说明信息，请参见创建流日志。关联智能接入网关。创建流日志实例后，您需要将智能接入网关实例关联到流日志实例上，关联后，智能接入网关实例的流量传输信息将会被存储到指定的Project和Logstore上，...

协同过滤etrec

create table etrec_test_input as select*from(select cast(0 as string)as user,cast(0 as string)as item from dual union all select cast(0 as string)as user,cast(1 as string)as item from dual union all select cast(1 as string...

标签传播分类

create table LabelPropagationClassification_func_test_edge as select*from(select 'a' as flow_out_id,'b' as flow_in_id,0.2 as edge_weight union all select 'a' as flow_out_id,'c' as flow_in_id,0.8 as edge_weight union all ...

创建源表

jsonParser='default' 示例：create table property(json varchar,jsonType varchar,gmtCreate as to_timestamp(cast(json_value(json,'$.gmtCreate')as bigint)),deviceName as json_value(json,'$.deviceName'),productKey as json_value...

WITH

WITH子句中定义的关系可以互相连接 WITH x AS(SELECT a FROM t),y AS(SELECT a AS b FROM x),z AS(SELECT b AS c FROM y)SELECT c FROM z;CTE执行优化 3.1.9.3及以上内核版本的集群支持使用CTE执行优化功能，该功能默认关闭，您可以通过...

SSML标记语言说明

语法<say-as interpret-as="string">文本</say-as>属性属性名称属性类型属性值是否必选描述 interpret-as String cardinal/digits/telephone/name/address/id/characters/punctuation/date/time/currency/measure 是指示出标签内文本...

创建作业

select cast(to_unixtime(time)as bigint)as time,'aiops' as entity,diff[1]as curr,diff[2]as prev,abs(diff[3]-1)as ratio,if(abs(diff[3]-1)>0.2,1,0)as status FROM(select time,ts_compare(metric,86400)as diff FROM(select date_...

使用Copilot+增强分析实现一站式智能数据查询与可视化

time,12)AS BIGINT)>=6 AND CAST(SUBSTR(behavior_time,12)AS BIGINT)点-09点' WHEN CAST(SUBSTR(behavior_time,12)AS BIGINT)>=9 AND CAST(SUBSTR(behavior_time,12)AS BIGINT)点-12点' WHEN CAST(SUBSTR(behavior_time,12)AS BIGINT)>=12...

复杂事件处理（CEP）语句

SELECT*FROM MyTable MATCH_RECOGNIZE(ORDER BY rowtime MEASURES A.id AS aid,B.id AS bid,A.rowtime AS atime,B.rowtime AS btime PATTERN(A B)WITHIN INTERVAL '2' MINUTES DEFINE A AS type='A',B AS type='B')AS T 如果不考虑WITHIN...

AS用来干嘛

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