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ApsaraDB for HBase:Minor version updates

Last Updated:Dec 02, 2025

This topic describes how to update the minor version of an ApsaraDB for HBase cluster in the ApsaraDB for HBase console and provides the release notes.

Important
  • The ApsaraDB for HBase service is not interrupted during the update. The system performs a rolling restart to upgrade the cluster. Before a RegionServer restarts, all its regions are moved to other servers to minimize the impact on your business. Network jitter may occur during the update, but the cluster remains available, which lets you safely upgrade the cluster.

  • The update duration varies based on the cluster size and the number of regions. For example, an update for a cluster with 2 core nodes and 100 regions typically takes less than 10 minutes to complete. However, for a large cluster with thousands of regions, the update may take more than one hour.

Procedure

  1. Log on to the ApsaraDB for HBase console.

  2. In the upper-left corner of the top navigation bar, select the region of your instance.

  3. On the Clusters page, click the ID of the target instance.

  4. In the navigation pane on the left, select Database Connection.

  5. In the upper-right corner of the page, click Upgrade Minor Version.

Release notes

Version number

Release date

Category

Description

2.8.2

September 7, 2025

New feature

You can now use Lindorm SQL to estimate the row count of statistical tables.

Feature optimizations

  • Improves the user experience of features such as range deletion, column deletion, and index building.

  • Optimizes the load balancing performance when an instance contains many tables.

  • Optimizes SQL on HBase features.

  • Improves HBase protocol compatibility.

  • Includes other stability fixes.

2.8.0

March 27, 2025

New feature

Feature optimizations

  • Adds a memory protection feature for SQL queries to prevent out of memory (OOM) errors.

  • Fixes an issue where performance degrades when the SQL engine is rolled back to sqlv2.

  • Improves the pushdown performance of global queries (Select *).

  • Fixes an issue where SQL performance degrades after Secure Sockets Layer (SSL) encryption is enabled.

  • Improves HBase protocol compatibility.

  • Improves SQL on HBase compatibility.

  • Improves cache replacement speed when the query pattern changes frequently to enhance query stability.

2.7.6

December 6, 2024

New feature

Feature optimizations

  • Optimizes the execution logic for aggregation requests to improve performance.

  • Optimizes the logic for building secondary indexes on historical data to resolve occasional build failures.

  • Optimizes the request retry logic to reduce errors that may occur during shard migration or splitting.

  • Optimizes the execution logic for IN requests to improve the efficiency of queries that contain many IN clauses.

  • Further optimizes the automatic hot spot detection and resolution logic for finer-grained identification and handling of hot spot shards.

  • Improves compatibility with the HBase protocol.

  • Improves compatibility with and enriches the support for MySQL syntax.

  • Includes other stability fixes.

2.7.1

July 11, 2024

New feature

Feature optimizations

  • Improves the performance of SQL point queries.

  • Supports building indexes on historical data for multiple index tables of a single table at the same time.

  • Enriches the status and progress information for building secondary indexes on historical data.

  • Includes other stability fixes and improves compatibility with and enriches the support for MySQL syntax.

2.6.5

March 25, 2024

New feature

Feature optimizations

  • Improves compatibility with and enriches the support for MySQL syntax.

  • Lindorm SQL supports physical plan reuse to optimize query performance.

  • Building secondary indexes on historical data is not affected by cold storage.

  • Optimizes compatibility with the native HBase client protocol. If you use an open source HBase client to access Lindorm, upgrade the LindormTable engine to this version or later.

2.6.2

November 8, 2023

New feature

Supports the MySQL-compatible protocol. For more information, see Use the MySQL protocol (recommended).

2.5.6

August 18, 2023

Feature optimizations

  • Fixes HBase protocol compatibility issues.

  • Fixes an issue of unbalanced loads across multiple groups.

  • Includes other stability fixes.

2.5.3

May 24, 2023

New feature

Supports Wildcard columns.

Feature optimizations

  • Fixes an issue where SQL requests may time out during short-circuit reads and writes.

    Note

    For a better read and write experience, upgrade the LindormTable engine to 2.5.3 or later if you use SQL.

  • Fixes a compatibility issue that occurs when using the batch interface of an open source HBase client.

  • Fixes an issue of excessive meta requests when using an open source HBase client.

2.5.2

April 19, 2023

New feature

Lindorm SQL supports deleting existing columns from a table. For more information, see ALTER TABLE.

Feature optimizations

  • Improved the user experience of using SQL statements to access ApsaraDB for HBase tables.

  • Improves the query experience in hot and cold data separation scenarios.

  • Improves the performance of asynchronous audit logging.

  • Improves compatibility with the HBase client protocol.

  • Increases the upper limit on the number of files monitored per region.

  • Optimizes the execution efficiency of Aggregate statements.

  • Optimizes CPU consumption caused by data expiration in short TTL scenarios.

2.4.3

March 10, 2023

Feature optimizations

  • Improves the Lindorm SQL user experience.

  • Includes other stability fixes.

2.4.2

December 13, 2022

New feature

Feature optimizations

  • Improves the user experience of the JSON data type.

  • Includes other stability fixes.

2.4.1

November 1, 2022

Feature optimizations

  • Improves the user experience of Lindorm Ganos spatio-temporal features.

  • Fixes bugs in Lindorm SQL.

2.4.0

October 9, 2022

New feature

You can use SQL to access HBase tables.

Feature optimizations

Improves the Lindorm SQL user experience.

2.3.4

August 30, 2022

Feature optimizations

Improves the Lindorm SQL user experience.

2.3.3

August 16, 2022

Feature optimizations

  • Adds a feature for automatic hot spot detection and handling.

  • Adds the ST_DWithin and ST_DWithinSphere functions to the spatio-temporal engine.

  • Includes other stability fixes.

2.3.2

August 2, 2022

Feature optimizations

2.3.1

June 30, 2022

New feature

Supports the Lindorm Ganos spatio-temporal feature.

2.2.21

April 25, 2022

Feature optimizations

  • Optimizes DirectMemory consumption during writes.

  • Optimizes the load balancing policy.

  • Optimizes compaction parameters and supports automatic adjustments.

  • Improves index building speed.

  • Optimizes the read and write performance of SQL.

2.2.20

March 16, 2022

Feature optimizations

  • Optimizes write performance for large key-value pairs.

  • Lindorm SQL supports reading multiple data versions and writing data with custom timestamps.

  • Fixes other performance issues.

2.2.19

February 9, 2022

New feature

Lindorm SQL supports dynamic columns and SQL layer monitoring.

Feature optimizations

  • Fixes an issue of delayed metadata updates after Lindorm SQL table properties are modified.

  • Fixes stability issues.

2.2.18

January 5, 2022

Feature optimizations

  • Optimizes Lindorm SQL performance.

  • Fixes time zone issues for the Date and Time data types in Lindorm SQL.

  • Fixes stability issues.

2.2.17

December 17, 2021

Feature optimizations

  • Fixes bugs in Lindorm SQL.

  • Improves the online speed of cold storage regions. If you use cold storage, upgrade the LindormTable engine to 2.2.17 or later.

2.2.16

November 12, 2021

Feature optimizations

  • The syntax of Lindorm SQL statements is improved. If you use Lindorm SQL statements, we recommend that you upgrade the version of your LindormTable to 2.2.16 or later.

  • Optimizes the disk flush logic to prevent out of memory errors when there are too many regions.

  • Fixes other bugs.

2.2.15

October 18, 2021

Feature optimizations

Optimized the use of Lindorm SQL and fixed issues where tables failed to be created in some cases and access to strongly consistent tables failed. We recommend that you upgrade your cluster to this version or a later version.

2.2.12

September 6, 2021

Feature optimizations

  • Optimizes the compaction policy to improve efficiency.

  • Optimizes the amount of data returned by Scan operations.

2.2.11

August 25, 2021

New feature

  • Lindorm SQL statements are supported.

  • Supports high-performance native secondary indexes.

2.2.10

August 12, 2021

Feature optimizations

Fixes an issue where requests to cold storage fail due to network jitter. Upgrade to this version or later.

2.2.9

June 9, 2021

New feature

The multi-dimensional index (SearchIndex) feature supports dynamic generation of tokenizer configurations and includes some bug fixes.

2.2.8

March 25, 2021

Feature optimizations

Optimizes memory usage during zstd compression.

2.2.7

March 11, 2021

New feature

Supports sequential data export from Lindorm. This feature requires Lindorm Tunnel Service (LTS).

2.2.5

January 7, 2021

New feature

Supports incremental data export from Lindorm. This feature requires LTS.

2.2.1

September 9, 2020

Feature optimizations

Optimizes the multi-dimensional index (SearchIndex) feature and fixes some bugs.

2.1.30

October 26, 2020

Feature optimizations

Optimizes the region selection algorithm for flushing in write hot spot scenarios.

2.1.26

October 9, 2020

Feature optimizations

Optimizes the memory overhead of BucketCache for small-specification instances.

2.1.25

September 30, 2020

Feature optimizations

Reduces the amount of redundant data retrieved during reverse scans.

2.1.23

September 22, 2020

Feature optimizations

Optimizes memory management for low-memory machine types.

2.1.21

July 20, 2020

Feature optimizations

Upgrade to this version or later.

  • Optimizes write throughput.

  • Optimizes reverse scan performance.

  • Optimizes the speed of archiving data from hot storage to cold storage in the hot and cold data separation feature.

2.1.17

March 20, 2020

Feature optimizations

Improves the usability of the multi-dimensional index (SearchIndex) feature.

2.1.15

February 6, 2020

Feature optimizations

Optimizes the multi-dimensional index (SearchIndex) feature and fixes some bugs.

2.1.12

December 16, 2019

Feature optimizations

Optimizes the multi-dimensional index (SearchIndex) feature and fixes issues encountered during the bulk load process.

2.1.10

November 16, 2019

New feature

Supports the multi-dimensional index (SearchIndex) feature.

Feature optimizations

Optimizes the hot and cold data separation feature.

2.1.9

October 8, 2019

New feature

Added support for the SearchIndex feature and fixed some bugs.

2.1.8

September 9, 2019

New feature

Supports the cold storage and hot and cold data separation features.