{"TimestampList":["int64"],"QPSList":["float32"],"RTList":[{"AVG":"float32","TP100":"float32","TP99":"float32","TP90":"float32","TP50":"float32","TP10":"float32"}],"TrafficList":[{"Send":"float64","Receive":"float64"}],...
假设r_k_tp_t1与r_k_tp_t2都采用Range分区，建表SQL如下所示：CREATE TABLE `r_k_tp_t1`(`a` bigint(20)UNSIGNED NOT NULL,`b` bigint(20)UNSIGNED NOT NULL,`c` datetime NOT NULL,`d` varchar(16)NOT NULL,`e` varchar(16)NOT NULL)...
r_k_tp_t1与r_k_tp_t2都采用Range分区，建表SQL如下所示：CREATE TABLE `r_k_tp_t1`(`a` bigint(20)UNSIGNED NOT NULL,`b` bigint(20)UNSIGNED NOT NULL,`c` datetime NOT NULL,`d` varchar(16)NOT NULL,`e` varchar(16)NOT NULL)ENGINE=...
资源购买后可以根据业务需求...取值为 {"ACS:SLB:LoadBalancer":["lb-bp1h66tp5uat8*"]}，表示ID为 lb-bp1h66tp5uat8*的SLB实例。eventTime：事件的发生时间（UTC格式）。取值为 2021-08-02T07:04:50Z，表示北京时间2021年08月02日15:04:50。
InstanceId String 是 SOFAMQ_INSTANCE_000001 实例 ID PageNum Long 是 1 页码 PageSize Long 是 20 每页显示条数 QueryItem String 是 TP_xx，0BA6EEBD700549C2FAAE076616860003，keyA 模糊查询项，可以为 Topic、Message ID 或 Message ...
Action=ListMqSofamqWarnHistory&Cell=RZ00A&GroupId=GID_TEST&InstanceId=INSTANCE_XXX&PageNum=1&PageSize=20&Topic=TP_TEST&WarnId=4&公共请求参数 正常返回示例 XML 格式 RequestId 861E6630-AEC0-4B2D-B214-6CB5E44B7F04/RequestId ...
创建HASH-HASH二级分区 模板化用法 CREATE TABLE tb_h_h_tp(id bigint not null auto_increment,bid int,name varchar(30),birthday datetime not null,primary key(id))PARTITION BY HASH(bid)PARTITIONS 2 SUBPARTITION BY HASH(id)...
执行分析查询的只读节点和执行TP型查询的只读节点可以物理隔离，避免影响TP业务。结合 PolarDB PostgreSQL版（兼容Oracle）存储计算分离的架构，可以做到弹性扩展：当算力不够时，可以弹性地增加只读节点，新增的只读节点加入分布式的并行...
执行分析查询的RO节点和执行TP型查询的RO节点可以物理隔离，避免影响TP业务。当计算能力不够时，弹性的增加计算节点，而无需做数据重分布。优化器 优化器是整个数据库最有吸引力的模块之一，主要包括两种：逻辑优化器和物理优化器。逻辑...
MB.QueryPerSecondTotal The total number of calls per second....TP5ResponseTime The maximum response time for the top 5%of all requests.TP80ResponseTime The maximum response time for the top 80%of all requests....
如下为具体的临时表名格式：数据表：tp_{变更ID}_ogt_{原表名}、tp_{变更ID}_g_{原表名} 心跳表：tp_{变更ID}_ogl_{原表名}、tp_{变更ID}_l_{原表名} 切换前的辅助表、切换后的原表：tp_{变更ID}_del_{原表名}、tp_{变更ID}_d_{原表名} ...
创建CO_HASH-HASH二级分区 模板化用法 CREATE TABLE tb_ch_h_tp(id bigint not null auto_increment,bid int,uid int,name varchar(30),birthday datetime not null,primary key(id))PARTITION BY CO_HASH(RIGHT(bid,4),RIGHT(uid,4))...
k_k_tp(-id bigint not null auto_increment,-bid int,-name varchar(30),-birthday datetime not null,-primary key(id)-)-PARTITION BY KEY(bid,name)-PARTITIONS 2-SUBPARTITION BY KEY(id)-SUBPARTITIONS 4;Query OK,0 rows affected(1...
但当业务连接数较多，或者业务负载具有TP特征（TP：事务处理型负载，具有低延时高吞吐的特征）时，对于Master资源需求更为旺盛，此时可能需要更高的Master规格。可以从两方面对Master规格进行选取和调整。实例监控数据 您可以在控制台 监控...
创建RANGE-HASH二级分区 模板化用法 CREATE TABLE tb_r_h_tp(id bigint not null auto_increment,bid int,name varchar(30),birthday datetime not null,primary key(id))PARTITION BY RANGE(TO_DAYS(birthday))SUBPARTITION BY HASH(bid)...
创建KEY-HASH二级分区 模板化用法 CREATE TABLE tb_k_h_tp(id bigint not null auto_increment,bid int,name varchar(30),birthday datetime not null,primary key(id))PARTITION BY KEY(bid,name)PARTITIONS 2 SUBPARTITION BY HASH(id)...
创建RANGE COLUMNS-HASH二级分区 模板化用法 CREATE TABLE tb_rc_h_tp(id bigint not null auto_increment,bid int,name varchar(30),birthday datetime not null,primary key(id))PARTITION BY RANGE COLUMNS(birthday,name)SUBPARTITION ...
Usage notes If you want to add a level-1 partition,the version of your Alibaba Cloud PolarDB for Xscale(PolarDB-X)instance must be 5.4.14-16539836 or later.If you want to add a level-2 partition,the version of your PolarDB...
创建LIST COLUMNS-HASH二级分区 模板化用法 CREATE TABLE tb_lc_h_tp(id bigint not null auto_increment,bid int,name varchar(30),birthday datetime not null,primary key(id))PARTITION BY LIST COLUMNS(birthday,name)SUBPARTITION BY...
创建LIST-HASH二级分区 模板化用法 CREATE TABLE tb_l_h_tp(id bigint not null auto_increment,bid int,name varchar(30),birthday datetime not null,primary key(id))PARTITION BY LIST(TO_DAYS(birthday))SUBPARTITION BY HASH(bid)...
不涉及 Can not find name server with endpoint 一般是用户设置的 instanceId、endpoint 参数不正确。配置正确的 instanceId、endpoint。ERROR No route info of this topic,TP_XXXXX 一般是连接了错误的 NameServer。登录 NameServer ...
执行分析查询的RO节点和执行TP型查询的RO节点可以物理隔离，避免影响TP业务。当计算能力不够时，弹性的增加计算节点，而无需做数据重分布。新一代基于代价的优化器，提升执行计划的准确性 数据库的业务场景是多样化的，如果执行计划选错会...
场景2：目标分区是模板化的二级分区 假设k_l_tp_t1与k_l_tp_t2都采用Key+List的二级分区，建表SQL如下所示：CREATE TABLE `k_l_tp_t1`(`a` bigint(20)UNSIGNED NOT NULL,`b` bigint(20)UNSIGNED NOT NULL,`c` datetime NOT NULL,`d` ...
and TP and AP loads are isolated from each other.However,the shortcomings of the architecture are also obvious.First,it is technically necessary to maintain the two sets of database systems that use different technical ...
AnalyticDB for PostgreSQL is equipped with the transactional processing(TP)and analytical processing(AP)optimizers.The TP optimizer is designed to support simple SQL queries.The AP optimizer is designed to support complex ...
需要注意的参数项设置如下图所示，其他配置项参数的详细说明，请参见 配置项说明。① 实例：以 ecs.gn7i-c8g1.2xlarge，8 vCPU 30 GiB 实例规格为例。② 镜像：以选择 云市场镜像 中的镜像为例，该镜像是阿里云免费提供的基于大语言模型LLM...