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TencentDB for PostgreSQL

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AI Practice
Using the Tencentdb_ai Plug-In to Call Large Models
Building Ai Applications with the Tencentdb Ai Plug-In
Combining Supabase to Quickly Build Backend Service Based on TencentDB for PostgreSQL
Use Cases
postgres_fdw Extension for Cross-database Access
Automatically Creating Partition in PostgreSQL
Searching in High Numbers of Tags Based on pg_roaringbitmap
Querying People Nearby with One SQL Statement
Configuring TencentDB for PostgreSQL as GitLab's External Data Source
Supporting Tiered Storage Based on cos_fdw Extension
Implement Read/Write Separation via pgpool
Implementing Slow SQL Analysis Using the Auto_explain Plugin
Using pglogical for Logical Replication
Using Debezium to Collect PostgreSQL Data
Set Up a Remote Disaster Recovery Environment for PostgreSQL Locally on CVM
Read-Only Instance and Read-Only Group Practical Tutorial
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Fix Table Bloat
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Instructions

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마지막 업데이트 시간: 2024-11-04 10:04:48
Category
Description
Supported versions
1. Source database
Self-built databases PostgreSQL 10-16
Third-party cloud vendors 10-16
Alibaba Cloud RDS PostgreSQL
AWS RDS PostgreSQL
Huawei Cloud RDS for PostgreSQL
TencentDB for PostgreSQL 10-16 (Migration within the same root account/Migration between different root accounts)
2. Target database
TencentDB for PostgreSQL 10-16
Impact on the source database
1. During full data migration, Data Transfer Service (DTS) consumes certain source instance resources, which may increase the load and pressure of the source database. If your database configuration is low, we recommend you perform the migration during off-peak hours.
2. During the actual migration process, the rate can be influenced by factors such as the read performance of the source instance, network bandwidth between the source and target instances, and the specifications and performance of the target instance. The migration concurrency is determined by the number of cores of the target instance. For example, if the target instance has 2 cores, the concurrency will be 2.
Migration object
Interrelated data objects need to be migrated together; otherwise, the migration will fail. Common association relationships include: views referencing tables, views referencing views, storage procedures/functions/triggers referencing views/tables, and table association through primary and foreign keys.
Source database requirements
When Full + Incremental Migration is selected as the migration type, the tables in the source database must have primary keys; otherwise, data inconsistency between the source and target databases may occur. For tables without primary keys, it is recommended to select Full Migration.
Target database requirements
If the entire instance is to be migrated, the target database must not contain users and roles with the same names as those in the source database.
Network description
1. When a migration task is configured, the source database address must use the IP address and port that can directly connect to the PostgreSQL instance. Do not use the IP address and port of proxies like pgpool.
2. To ensure migration efficiency, cross-region migration is not supported for self-built instances on Cloud Virtual Machine (CVM). If cross-region migration is needed, choose the public network access method.
Operation limits
1. During the structural migration, full migration, and incremental migration, do not perform DDL operations or Large Object operations; otherwise, data inconsistency will occur.
2. Do not modify or delete user information (including the username, password, and permissions) and port numbers in the source and target databases during migration.

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