多机CPU-Reduce:该优化继承了单机内CPU-Reduce高效的异步流水线,并将跨机Socket通信也设计为流水线形态,实现多机通信全过程流水化,有效减少通信延迟,提高整体训练性能。例如,在通信量较大的Transformer-based模型的多机训练场景下,...
语法 geomgrid[]ST_As3DGrid(geometry geom3d,integer precision,bool degenerated default false);geomgrid[]ST_As3DGrid(meshgeom geom3d,integer precision,bool degenerated default false);geomgrid[]ST_As3DGrid(sfmesh geom3d,...
语法 geomgrid[]ST_As3DGrid(geometry geom3d,integer precision,bool degenerated default false);geomgrid[]ST_As3DGrid(meshgeom geom3d,integer precision,bool degenerated default false);geomgrid[]ST_As3DGrid(sfmesh geom3d,...
语法 geomgrid[]ST_As3DGrid(geometry geom3d,integer precision,bool degenerated default false);geomgrid[]ST_As3DGrid(meshgeom geom3d,integer precision,bool degenerated default false);geomgrid[]ST_As3DGrid(sfmesh geom3d,...
语法 boolean ST_As3dTiles(sfmesh sfmesh_object,cstring table_name,cstring options default '{}');返回值 返回值 描述 true 导出成功。false 导出失败。参数 参数名称 描述 sfmesh_object 需要处理的sfmesh对象。table_name 业务表名称...
语法 boolean ST_As3dTiles(sfmesh sfmesh_object,cstring table_name,cstring options default '{}');返回值 返回值 描述 true 导出成功。false 导出失败。参数 参数名称 描述 sfmesh_object 需要处理的sfmesh对象。table_name 业务表名称...
unnest-GZ00262064446046072072-采用拆分编码 SELECT unnest(ST_AsText(ST_As3DGrid('srid=4490;POINT(116.31522216796875 39.910277777777778 1001.8)':geometry,20),-1,true));unnest-G00131032223023031031,+10010-H3编码 SELECT ST_...
unnest-GZ00262064446046072072-采用拆分编码 SELECT unnest(ST_AsText(ST_As3DGrid('srid=4490;POINT(116.31522216796875 39.910277777777778 1001.8)':geometry,20),-1,true));unnest-G00131032223023031031,+10010-H3编码 SELECT ST_...
unnest-GZ00262064446046072072-采用拆分编码 SELECT unnest(ST_AsText(ST_As3DGrid('srid=4490;POINT(116.31522216796875 39.910277777777778 1001.8)':geometry,20),-1,true));unnest-G00131032223023031031,+10010-H3编码 SELECT ST_...
st_asbinary-\x0102000f74271236 select st_asbinary(unnest(st_as3dgrid('srid=4490;POINT(116.31522216796875 39.910277777777778 1001.8)':geometry,20)));st_asbinary-\x0102401474271236362412000000-H3Grid select st_asbinary(st_h3...
st_asbinary-\x0102000f74271236 select st_asbinary(unnest(st_as3dgrid('srid=4490;POINT(116.31522216796875 39.910277777777778 1001.8)':geometry,20)));st_asbinary-\x0102401474271236362412000000-H3Grid select st_asbinary(st_h3...
st_asbinary-\x0102000f74271236 select st_asbinary(unnest(st_as3dgrid('srid=4490;POINT(116.31522216796875 39.910277777777778 1001.8)':geometry,20)));st_asbinary-\x0102401474271236362412000000-H3Grid select st_asbinary(st_h3...
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 ...
create table if not exists pai_cluster_evaluation_test_input as select*from(select 1 as id,1 as f0,2 as f3 from dual union all select 2 as id,1 as f0,3 as f3 from dual union all select 3 as id,1 as f0,4 as f3 from dual ...
create table smart_binary_input lifecycle 3 as select*from(select 0.72 as f0,0.42 as f1,0.55 as f2,-0.09 as f3,1.79 as f4,-1.2 as f5,0 as label union all select 1.23 as f0,-0.33 as f1,-1.55 as f2,0.92 as f3,-0.04 as f4,-0....
CallUserCount Integer 3 通信人数。PubUserCount Integer 2 发布端人数。SubUserCount Integer 1 订阅端人数。HighQualityTransmissionRate String 0.9999 优质传输率,用小数表示,例如0.9999表示优质传输率为99.99%。RequestId String ...
col0|+-+|0.5709993917553757|select random(cast(3 as tinyint));col0|+-+|2|select random(cast(3 as smallint));col0|+-+|0|select random(cast(3 as int));col0|+-+|1|select random(cast(3 as bigint));col0|+-+|0|RADIANS radians...
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...
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...
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 ...
id,'4' as flow_in_id,0.6 as edge_weight union all select '4' as flow_out_id,'6' as flow_in_id,0.3 as edge_weight union all select '5' as flow_out_id,'6' as flow_in_id,0.6 as edge_weight union all select '5' as flow_out_id,...
使用其他初始质心的方式 create table pai_kmeans_test_input as select*from(select 'id1' as id,1 as f0,2 as f1 from dual union all select 'id2' as id,1 as f0,3 as f1 from dual union all select 'id3' as id,1 as f0,4 as f1 from...
memSizePerCore=max(1024,int(kOneCoreDataSize*2))return coreNum,memSizePerCore 使用示例 测试数据 create table pai_test_input as select*from(select 1 as f0,2 as f1 from dual union all select 1 as f0,3 as f1 from dual union ...
.),MaxCompute自动生成一组String的值来代替,规则如下:UNPIVOT(measure1 for axis in(c1,c2,c3,.)):此情况下生成的值是(c1,c2,c3,.),即原语法改写为:UNPIVOT(measure1 for axis in(c1 as c1,c2 as c2,c3 as c3,.))。除上述情况以外...
.),MaxCompute自动生成一组String的值来代替,规则如下:UNPIVOT(measure1 for axis in(c1,c2,c3,.)):此情况下生成的值是(c1,c2,c3,.),即原语法改写为:UNPIVOT(measure1 for axis in(c1 as c1,c2 as c2,c3 as c3,.))。除上述情况以外...
t2 as(select InstanceID,round(di[1],3)as"费用",concat(cast(round(di[3]*100-100,3)as varchar),'%')"同比上月"from(select InstanceID,compare(cost,2592000)as di FROM(select InstanceID,round(sum(PretaxAmount),2)as cost FROM ...
asset.level2 as level_2-可自定义别名,空间资产模型第三层级,asset.level3 as level_3-可自定义别名,空间资产模型第四层级,asset.level4 as level_4,metric.ts_second as"统计日期(ymdhms)",metric.ts_minute as"统计日期(minute)",metric...
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 ...
Use the FOREACH-GENERATE command to assign names to the fields.uniq_frequency3=FOREACH uniq_frequency2 GENERATE$1 as hour,$0 as ngram,$2 as score,$3 as count,$4 as mean;Use the FILTER command to move all records with a ...
Use the FOREACH-GENERATE command to assign names to the fields.uniq_frequency3=FOREACH uniq_frequency2 GENERATE$1 as hour,$0 as ngram,$2 as score,$3 as count,$4 as mean;Use the FILTER command to move all records with a ...
(56),(57),(58),(59),(60),(61),(62),(63)t(c0))select k,from_unixtime(1617120000)as t,from_unixtime(1617120000+3600000*c)as b,c from(select 100+row_number()over(partition by 1)-1 as k,cast(round(rand()*3,0)as bigint)+3 as c ...
string,11 as col_bigint,10.2 as col_double,False as col_boolean,cast('2016-07-02 10:00:00' as datetime)as col_datetime from dual union all select '02' as col_string,cast(null as bigint)as col_bigint,10.3 as col_double,True...
string,11 as col_bigint,10.2 as col_double,False as col_boolean,cast('2016-07-02 10:00:00' as datetime)as col_datetime from dual union all select '02' as col_string,cast(null as bigint)as col_bigint,10.3 as col_double,True...
返回结果如下:+-+|CAST(4.3 AS BOOLEAN)|+-+|1|+-+示例4 将INT的数据类型 5 转换为BOOLEAN类型,语句如下:SELECT CAST(5 AS BOOLEAN);返回结果如下:+-+|CAST(5 AS BOOLEAN)|+-+|1|+-+CAST AS DECIMAL(m,d)|FLOAT|INT|INTEGER|SMALLINT|...
从分区子表创建新表,并自动同步数据,新表只会同步这一张子表的数据 CREATE TABLE public.new_table_3 AS TABLE public.src_table_child1;从Select Query的结果复制一张新表,同时设置新表属性。创建源表 BEGIN;CREATE TABLE public.src_...
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 '...
3.0.0 createClient()创建一个客户端实例以进行 RTC 通信 3.0.0 createCustomAudioTrack()创建一个自定义的音频轨道。你可以使用这个方法将自己维护的 MediaStreamTrack 转换成一个可以用于 SDK 的音频轨道。3.0.0 createCustomVideoTrack...
string,11 as col_bigint,10.2 as col_double,False as col_boolean,cast('2016-07-02 10:00:00' as datetime)as col_datetime from dual union all select '02' as col_string,cast(null as bigint)as col_bigint,10.3 as col_double,True...
create table normality_test_input as select*from(select 1 as x from dual union all select 2 as x from dual union all select 3 as x from dual union all select 4 as x from dual union all select 5 as x from dual union all ...
create table smart_multiclass_input lifecycle 3 as select*from(select '2' as label,'1:0.55 2:0.15 3:0.82 4:0.99 5:0.17' as features union all select '1' as label,'1:1.26 2:1.36 3:0.13 4:2.82 5:0.41' as features union all ...