log_type:nat_firewall_log|select src_ip,dst_ip,dst_port,sum(in_packet_bytes)as in_bytes,sum(out_packet_bytes)as out_bytes,sum(total_packet_bytes)as total_bytes group by src_ip,dst_ip,dst_port order by total_bytes desc ...
什么是FPGA云服务器 FaaS FPGA即服务(FPGA as a Service),阿里云在云端提供的统一硬件平台与中间件,可大大降低加速器的开发与部署成本。FaaS平台介绍 faasutil 新一代命令行工具,用简单的命令完成配置环境、生成FPGA镜像、加载FPGA...
SELECT user_id,host AS"域名",Rate_200 AS"200比例",Rate_302 AS"302比例",Rate_404 AS"404比例",Rate_405 AS"405比例",Rate_444 AS"444比例",Rate_499 AS"499比例",Rate_500 AS"500比例",Rate_502 AS"502比例",Rate_503 AS"503比例",Rate...
SELECT user_id,host AS"域名",Rate_200 AS"200比例",Rate_302 AS"302比例",Rate_404 AS"404比例",Rate_405 AS"405比例",Rate_444 AS"444比例",Rate_499 AS"499比例",Rate_500 AS"500比例",Rate_502 AS"502比例",Rate_503 AS"503比例",Rate...
3 as campaign,6 as pdays,2 as previous,-1.7 as emp_var_rate,94.055 as cons_price_idx,-39.8 as cons_conf_idx,0.729 as euribor3m,4991.6 as nr_employed,1 as y union all select 39 as age,2 as campaign,999 as pdays,0 as ...
id,'3' as group_out_id,'4' as flow_in_id,'3' as group_in_id union all select '3' as flow_out_id,'3' as group_out_id,'4' as flow_in_id,'3' as group_in_id union all select '4' as flow_out_id,'3' as group_out_id,'6' as flow_...
eventId.reason:DeleteLoadBalancerFailed|SELECT ARRAY_AGG("eventId.message")as message,"eventId.metadata.namespace"as namespace,"eventId.involvedObject.kind"as kind,"eventId.involvedObject.name"as object_name,COUNT(*)as cnt...
id,'10007' AS item_id,1639756800 AS time UNION-20211218 SELECT 'u0003' AS user_id,'10008' AS item_id,1639670400 AS time UNION-20211217 SELECT 'u0003' AS user_id,'10009' AS item_id,1639584000 AS time UNION-20211216 SELECT '...
event.eventId"as eventId,"event.eventName"as eventName,"event.eventRW"as eventRW,"event.eventSource"as eventSource,from_unixtime(_time_)as eventTime,"event.eventType"as eventType,"event.eventVersion"as eventVersion,"event...
id,'10007' AS item_id,1639756800 AS time UNION-20211218 SELECT 'u0003' AS user_id,'10008' AS item_id,1639670400 AS time UNION-20211217 SELECT 'u0003' AS user_id,'10009' AS item_id,1639584000 AS time UNION-20211216 SELECT '...
id,'10007' AS item_id,1639756800 AS time UNION-20211218 SELECT 'u0003' AS user_id,'10008' AS item_id,1639670400 AS time UNION-20211217 SELECT 'u0003' AS user_id,'10009' AS item_id,1639584000 AS time UNION-20211216 SELECT '...
cast(0 as double)as f1,cast(0 as double)as f2,cast(1 as double)as f3,cast(1 as bigint)as label from dual union all select cast(1 as double)as f0,cast(0 as double)as f1,cast(0 as double)as f2,cast(0 as double)as f3,cast(0 ...
in_id,0.7 as edge_weight union all select '5' as flow_out_id,'8' as flow_in_id,0.7 as edge_weight union all select '6' as flow_out_id,'7' as flow_in_id,0.6 as edge_weight union all select '6' as flow_out_id,'8' as flow_in_...
cast(0 as double)as f1,cast(0 as double)as f2,cast(1 as double)as f3,cast(1 as bigint)as label from dual union all select cast(1 as double)as f0,cast(0 as double)as f1,cast(0 as double)as f2,cast(0 as double)as f3,cast(0 ...
cast(0 as double)as f1,cast(0 as double)as f2,cast(1 as double)as f3,cast(1 as bigint)as label from dual union all select cast(1 as double)as f0,cast(0 as double)as f1,cast(0 as double)as f2,cast(0 as double)as f3,cast(0 ...
date between(cast('2000-05-19' as date)-30 days)and(cast('2000-05-19' as date)+30 days)(cast('1999-4-01' as date)+60 days)(cast('1999-5-01' as date)+60 days)and d_date between cast('2001-06-09' as date)and(cast('2001-06-09...
id,'10007' AS item_id,1639756800 AS time UNION-20211218 SELECT 'u0003' AS user_id,'10008' AS item_id,1639670400 AS time UNION-20211217 SELECT 'u0003' AS user_id,'10009' AS item_id,1639584000 AS time UNION-20211216 SELECT '...
id,'10007' AS item_id,1639756800 AS time UNION-20211218 SELECT 'u0003' AS user_id,'10008' AS item_id,1639670400 AS time UNION-20211217 SELECT 'u0003' AS user_id,'10009' AS item_id,1639584000 AS time UNION-20211216 SELECT '...
topic_:actiontrail_audit_event and event.serviceName:Cloudfw and event.eventName:PutDisableFwSwitch|SELECT account_id,ram_user_id,resourceArray[num]as asset_ip,arbitrary(user_type)as user_type,arbitrary(user_name)as user_...
5.0 as f1,1 as f2 from dual union all select false as f0,3.0 as f1,1 as f2 from dual union all select true as f0,4.0 as f1,1 as f2 from dual union all select false as f0,3.0 as f1,1 as f2 from dual union all select true as...
MKTSEGMENT AS C_MKTSEGMENT,s.S_NAME AS S_NAME,s.S_ADDRESS AS S_ADDRESS,s.S_CITY AS S_CITY,s.S_NATION AS S_NATION,s.S_REGION AS S_REGION,s.S_PHONE AS S_PHONE,p.P_NAME AS P_NAME,p.P_MFGR AS P_MFGR,p.P_CATEGORY AS P_CATEGORY,...
cast(1 as double)as f1,cast(0 as double)as f2,cast(0 as double)as f3,cast(0 as bigint)as label from dual union all select cast(0 as double)as f0,cast(0 as double)as f1,cast(1 as double)as f2,cast(0 as double)as f3,cast(2 ...
As是将请求的结果以别名方式命名。示例 select count(*)as countRow from test;select c1 as testC from test where c1='2';
CREATE FUNCTION ST_Aggr_Intersection AS 'com.esri.hadoop.hive.ST_Aggr_Intersection' USING 'spatial-sdk-hive.jar,esri-geometry-api.jar';CREATE FUNCTION ST_Aggr_Union AS '...
'5' as flow_in_id union all select '3' as flow_out_id,'4' as flow_in_id union all select '4' as flow_out_id,'5' as flow_in_id union all select '4' as flow_out_id,'8' as flow_in_id union all select '5' as flow_out_id,'6' as...
0.9 as f4,-1.04 as f5,1 as label union all select 1.02 as f0,-0.88 as f1,0.82 as f2,1.82 as f3,1.55 as f4,0.53 as f5,0 as label union all select 1.19 as f0,-1.18 as f1,-1.1 as f2,2.26 as f3,1.22 as f4,0.92 as f5,0 as label...
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_...
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_...
create table TreeDepth_func_test_edge as select*from(select '0' as flow_out_id,'1' as flow_in_id union all select '0' 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 ...
create table TriangleCount_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 ...
out_id,"d"as flow_in_id,1.0 as edge_weight union all select"b"as flow_out_id,"e"as flow_in_id,2.0 as edge_weight union all select"e"as flow_out_id,"d"as flow_in_id,1.0 as edge_weight union all select"c"as flow_out_id,"e"as...
语法 CREATE[GLOBAL TEMPORARY]TABLE table_name[(column_name[,.])][ON COMMIT { PRESERVE ROWS|DELETE ROWS }][TABLESPACE tablespace]AS query 说明 CREATE TABLE AS 创建一个表,并使用 SELECT 命令计算的数据填充该表。表列具有与 ...
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....
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...
返回结果如下:+-+|CAST(5 AS BOOLEAN)|+-+|1|+-+CAST AS DECIMAL(m,d)|FLOAT|INT|INTEGER|SMALLINT|TINYINT CAST(expr AS[DECIMAL(m,d)|FLOAT|INT|INTEGER|SMALLINT|TINYINT])命令说明 将 expr 转换为DECIMAL(m,d)、FLOAT、INT、INTEGER、...
'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 ...
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' ...
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 ...
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 ...
id,host,count_if(status>=200 and status)AS status_2XX,count_if(status>=300 and status)AS status_3XX,count_if(status>=400 and status)AS status_4XX,count_if(status>=500 and status)AS status_5XX,COUNT(*)AS countall FROM log ...