2022
Engine release notes for AnalyticDB for PostgreSQL in elastic storage mode in 2022.
To update your instance to the latest minor engine version, see Update the minor engine version.
November 30, 2022 (V7.0.1.x)
|
Category |
Feature |
Description |
References |
|
New feature |
Sample dataset |
AnalyticDB for PostgreSQL V7.0 provides sample datasets to help you quickly try out or test instances. |
|
|
orafce extension |
Adds the orafce extension for compatibility with Oracle syntax and functions. |
None |
|
|
Incremental sort |
Adds the incremental sort feature. This feature periodically checks the data status of tables, sorts new unordered data, and merges it with existing ordered data. |
None |
|
|
Locale |
Adds the zh_CN locale to support the Chinese character set. |
None |
|
|
zhparser extension |
Adds the zhparser extension for Chinese word segmentation in full-text searches. |
||
|
Full-text search |
Full-text search now supports range distance-related functions. |
None |
|
|
Optimized feature |
Query performance |
Adjusts some performance metrics to optimize query performance. |
None |
|
Fixed issue |
Fixes an issue where tasks such as vertical scaling prevented rdssuper connections from closing properly. |
||
|
Fixes an issue where inconsistent system tables caused exceptions in DTS sync tasks. |
|||
|
Fixes an issue where reusing connections with uncleaned caches during concurrent writes caused catalog read exceptions. |
|||
September 05, 2022 (V7.0.0.x)
|
Category |
Feature |
Description |
References |
|
New feature |
[Real-time data warehouse] Real-time incremental materialized view capabilities |
Real-time materialized views support real-time data writes, processing, and analysis. You can build an end-to-end real-time data warehouse with a single system. |
|
|
[Enterprise-grade feature] Stored procedure syntax support |
Supports stored procedure syntax. This provides better compatibility with services from traditional data warehouses such as Oracle. |
||
|
[Enterprise-grade feature] Generated columns support |
Supports generated columns. A generated column is a special column that is computed from other columns. |
||
|
[Enterprise-grade feature] Window function enhancements |
Supports all window functions in the SQL:2011 standard to help businesses perform multi-dimensional analysis. |
||
|
[Security feature] Password encryption algorithm enhancements |
Supports SCRAM-SHA-256 encryption, which provides higher security than MD5 encryption. |
||
|
[Security feature] Row-level permission management |
Row-level permissions allow for data encryption at the row level. This helps minimize access to sensitive data. |
||
|
[Feature enhancement] Aggregate function reuse |
Reuses calculations for aggregate functions across multiple columns. This greatly reduces computation time and resource usage. |
||
|
[Feature enhancement] Partitioned table feature and performance enhancements |
Provides more comprehensive and higher-performance partitioned table tools to improve user experience. |
||
|
[Feature enhancement] Column statistics support |
Supports specifying collection targets to improve the accuracy of cost estimation and increase query performance. |
||
|
[Feature enhancement] JSON |
Supports more JSON type functions. |
||
|
[Feature enhancement] Support for more index types |
Adds Hash, BRIN, and Bloom indexes. Optimizes B-tree, GIN, Gist, and Bitmap indexes. |
||
|
[Performance improvement] Just-in-time (JIT) compilation |
Supports just-in-time (JIT) compilation. The system uses JIT technology to improve query performance. |