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PolarDB:Release notes for PolarDB-X columnar nodes

Last Updated:Nov 18, 2024

This topic describes the release notes for PolarDB-X columnar nodes.

Release date: 2024-11-05

Product version: polardb-V2.4.0

Component version: 5.4.19

Category

Description

Feature optimization

The process of deleting metadata of read-only column store instances is optimized to reduce the resource consumption of Global Meta Service (GMS) nodes.

Fixed issue

The following issue is fixed: When the columnar storage engine is idle, the adaptive heartbeat interval keeps growing.

Release date: 2024-10-29

Product version: polardb-V2.5.0

Component version: 5.4.20

Category

Description

New feature

IMCI supports sorting data by the sort key in descending order. For more information, see Create and use a CCI.

Fixed issue

The following issue is fixed: When the columnar storage engine is idle, the adaptive heartbeat interval becomes longer.

Release date: 2024-09-28

Product version: polardb-V2.4.0

Component version: 5.4.19

Category

Description

New feature and feature optimization

Tables that contain IMCIs support the TRUNCATE TABLE statement.

The lease time is optimized for various node specifications to avoid frequent HA switchovers caused by incorrect lease time configurations.

The compaction operation of column-oriented data is optimized to avoid generating a large amount of small files.

Release date: 2024-09-13

Product version: polardb-V2.4.0

Component version: 5.4.19

Category

Description

New feature

IMCI supports partition splitting. For more information, see Split a partition into multiple partitions.

Release date: 2024-08-28

Product version: polardb-V2.4.0

Component version: 5.4.19

Category

Description

Fixed issue

The following issue is fixed: IMCI data is incorrectly created if the primary key is of the BIGINT UNSIGNED type.

The following issue is fixed: The columnar node stops running when a table contains a large number of partitions and concurrent access requests are made to the OSS client.

Release date: 2024-08-02

Product version: polardb-V2.4.0

Component version: 5.4.19

Category

Description

Fixed issue

The following issue is fixed: In a read-only column store instance, certain primary key values cannot be retrieved after the corresponding key-value pairs are added to a HashMap.

Modified

Previously, DDL operations on primary tables with columnstore indexes were prohibited by default. Now, DDL operations are allowed by default on such tables.

Release date: 2024-07-10

Product version: polardb-V2.4.0

Component version: 5.4.19

Category

Description

New feature and feature optimization

The files on the columnar nodes that exceed the specified retention period can be automatically cleared.

The compression performance of CSV files is improved.

The initialization performance of columnar nodes is improved when highly concurrent data compression tasks are performed.

Fixed issue

The following issue is fixed: When you synchronize incremental data from the primary instance to a column store instance, the synchronization is interrupted by the RENAME statements.

Release date: 2024-04-16

Product version: polardb-V2.4.0

Component version: 5.4.19

Category

Description

New feature and feature optimization

Adaptive low latency, batch commits, cache control, and incremental, full, and parallel data pull are supported.

Persistence, table-level separation, and high-performance bulk operations are supported.

Index creation and deletion, simple column alterations, and simple data type conversions are supported.

Asynchronous scheduling, concurrency control, read/write parallelism, and more than 10 types of compaction methods are supported.

Fast recovery upon restart, dual-node disaster recovery, and utilization of resources on secondary nodes are supported.

Object Storage Service (OSS), Network File System (NFS), and custom cache systems can be used for storage.

All MySQL data types are supported for new data columns. Common data types are supported for primary keys, sort keys, and partition keys.

Simple verification of row and column data consistency is supported.

Status monitoring, column store data monitoring, and exception alerting are supported.