............................................................................7 Greenplum资源组和Workload Manager ........................................................................................... 地理空间 公有云 私有云 完全 托管云 本地 BI / 报告 自定义应用 机器学习 AI SQL 大规模 并行处理 (MPP) PB 级数据 加载 查询 优化器 (GPORCA) Workload Manager 多态存储 Command Center SQL 兼容性 (Hyper-Q) PostgreSQL 内核 JSON、Apache AVRO、Apache Parquet 和 XML 实现性能提升。随着 GPORCA 的功能逐渐增多，传统查询优化器能够在性能上胜出 的情况将变得极为罕见。4 Greenplum资源组和Workload Manager 管理并发性能和用户资源分配是 Greenplum 的主要功能之一。这一版本不仅增强了 Workload Manager 的功能，还引入了 一种管理数据库查询的新方法——资源组，可让数据库管理员更好地控制用户活动，尤其是在 CPU 和内存管理方面。资

your requirements? Postgres Conference China 2016 中国用户大会 What are your requirements? • Is the workload for OLTP, OLAP or is it mixed? • What percentage of transactions are read-only vs. write? • If server • Use streaming replication Postgres Conference China 2016 中国用户大会 Read-Only / Read-Mainly Workload • Use streaming replication • Use application-level defined read-only connections or something Applications need data location awareness Postgres Conference China 2016 中国用户大会 OLTP – Write-Heavy Workload • Use custom sharding such as schema-level • PL/Proxy • Postgres-XL Strong Consistency Required

Storage Plugin with gpbackup, gprestore, and gpbackup_manager 564 Using the DD Boost Storage Plugin with gpbackup, gprestore, and gpbackup_manager 0 DD Boost Storage Plugin Configuration File Format 564 Performance Factors 994 VMware Greenplum v6.18 Documentation VMware, Inc. 57 System Resources 995 Workload 995 Throughput 995 Contention 995 Optimization 995 Determining Acceptable Performance 996 Baseline Common Causes of Performance Issues 0 Identifying Hardware and Segment Failures 998 Managing Workload 999 Avoiding Contention 999 Maintaining Database Statistics 999 Identifying Statistics Problems

Storage Plugin with gpbackup, gprestore, and gpbackup_manager 573 Using the DD Boost Storage Plugin with gpbackup, gprestore, and gpbackup_manager 0 DD Boost Storage Plugin Configuration File Format 573 Performance Factors 1003 VMware Greenplum v6.19 Documentation VMware, Inc. 58 System Resources 1004 Workload 1004 Throughput 1004 Contention 1004 Optimization 1004 Determining Acceptable Performance 1005 Common Causes of Performance Issues 0 Identifying Hardware and Segment Failures 1007 Managing Workload 1008 Avoiding Contention 1008 Maintaining Database Statistics 1008 Identifying Statistics Problems

this mode, you may issue the following command before executing your query: set workload='olap' You can also set the workload to dba mode, which allows you to override the implicit timeouts that exist in for any identical requests received while the in-flight query was still executing. – Transaction manager – Limit number of concurrent transactions and manage deadlines to optimize overall throughput. • Consul). Concretely, the Topology Service handles two functions: it is both a distributed lock manager and a repository for topology metadata. In earlier versions of Vitess, the Topology Serice was also

VitessAware transaction_read_only VitessAware sql_select_limit VitessAware transaction_mode VitessAware workload VitessAware charset VitessAware names VitessAware big_tables NoOp bulk_insert_buffer_size NoOp debug this mode, you may issue the following command before executing your query: set workload='olap' You can also set the workload to dba mode, which allows you to override the implicit timeouts that exist in for any identical requests received while the in-flight query was still executing. – Transaction manager – Limit number of concurrent transactions and manage deadlines to optimize overall throughput. •

gpbackup, gprestore, and gpbackup_manager 496 VMware Greenplum v6.17 Documentation VMware, Inc. 26 Using the DD Boost Storage Plugin with gpbackup, gprestore, and gpbackup_manager 0 DD Boost Storage Plugin Performance Factors 926 VMware Greenplum v6.17 Documentation VMware, Inc. 53 System Resources 927 Workload 927 Throughput 927 Contention 927 Optimization 927 Determining Acceptable Performance 928 Baseline Common Causes of Performance Issues 0 Identifying Hardware and Segment Failures 932 Managing Workload 933 Avoiding Contention 933 Maintaining Database Statistics 934 Identifying Statistics Problems

Configuration File Format 563 Using the DD Boost Storage Plugin with gpbackup, gprestore, and gpbackup\_manager 565 DD Boost Storage Plugin Configuration File Format 565 Examples 567 Notes 568 Replicating Defining Database Performance 994 Understanding the Performance Factors 994 System Resources 995 Workload 995 Throughput 995 Contention 995 Optimization 995 Determining Acceptable Performance 995 Baseline Common Causes of Performance Issues 998 Identifying Hardware and Segment Failures 998 Managing Workload 999 Avoiding Contention 999 Maintaining Database Statistics 999 Identifying Statistics Problems

In TiDB v5.4.0 and later versions, when backup tasks are performed on the cluster under a heavy workload, why does the speed of backup tasks become slow? · · · · · · · · · · · · · · · · · · · · · · · · mitigate SQL performance issues caused by uneven distribution and rapid changes in user data and workload. SaaS providers can use cross-database binding to fix execution plans validated by users with large TiDB server. It provides load balancing and connection persistence functions for TiDB, making the workload of the TiDB cluster more balanced and not affecting user access to the database during maintenance

In TiDB v5.4.0 and later versions, when backup tasks are performed on the cluster under a heavy workload, why does the speed of backup tasks become slow? · · · · · · · · · · · · · · · · · · · · · · · · in batches serially to decrease the number of Remote Procedure Call (RPC) requests and reduce PD workload. In latency-sensitive scenarios, however, the performance of this serial batching mode is not ideal concurrency capabilities. Parallel modes reduce TSO retrieval latency but might in- crease the PD workload. To set a parallel RPC mode for retrieving TSO, configure the tidb_tso_client_rpc_mode system variable