Release notes for the Lindorm search engine - Lindorm - Alibaba Cloud Documentation Center

Alibaba Cloud releases LindormSearch versions for Lindorm to provide new features, fix known bugs, and improve user experience. This topic describes the release notes of LindormSearch versions. This topic also provides usage notes on how to upgrade the LindormSearch version of your Lindorm instance during off-peak hours.

View or upgrade the LindormSearch version of a Lindorm instance

You can view the LindormSearch version of an instance in the Lindorm console. For more information about how to upgrade the LindormSearch version and usage notes, see Upgrade the minor engine version of a Lindorm instance. 查看版本

Warning

During a version upgrade, a rolling restart is performed on all LindormSearch nodes. During the restart process, index shards are automatically moved to available nodes. Therefore, slight jitters may occur when applications access LindormSearch. We recommend that you upgrade the version during off-peak hours.
If only one LindormSearch node is available, LindormSearch be unavailable for applications to access during the upgrade. To ensures service availability, we recommend that you add LindormSearch nodes before you upgrade LindormSearch.
The system automatically checks the LindormSearch version of the instance. If the Minor Version Upgrade button does not appear, the latest LindormSearch version is used.
Version updates may differ from region to region. The LindormSearch version displayed in the Lindorm console prevails.

Elasticsearch Compatibility Guide

Minor version	Category	Description
3.9.31	New features & optimizations	Enumerated partitions support numeric types as enumeration values. The IK analyzer dictionary supports customization for all files. The efficient and postFilter parameters support search paging.
3.9.30	New features & optimizations	Optimized hot and cold data separation for cold indexes. Optimized the search_embedding logic. Supports restoring snapshots to a specified storage class.
3.9.27.3	New features & optimizations	Supports volatile files. Supports index-level configuration for real-time searchability. Supports ThreadLocal performance optimization.
3.9.24	Optimizations	Optimized the performance of retrieving the _source field. Optimized prefilter performance.
3.9.22	New feature	Supports a new routing policy to improve the performance of OR queries.
3.9.19	New features & optimizations	Supports custom user plugins. Reduced the impact of upgrades on business queries. Optimized update operations and source data retrieval for vector search.
3.9.14	New features	The rolling update of synonyms is supported. The number of storage replicas can be dynamically modified. Slow query isolation is supported.
3.9.13	New features	The Index State Management (ISM) plug-in is supported. SQL plug-ins are supported. Data switching between versions is supported. The elasticsearch-repository-oss plug-in is supported.
3.9.10.6	Optimized features	The vector retrieval performance is optimized.
3.9.10	New features	Automatic embedding is supported in vector retrieval. Scalar filters can be pushed down in vector retrieval. The list of top queries can be retrieved and multiple queries can be killed at a time. Wildcard queries are supported.
3.9.6	New features	Weight configuration and service degradation are supported by Reciprocal Rank Fusion (RRF) in vector retrieval. The thread pool size can be dynamically modified.
3.8.13	New features	The built-in hanlp analyzer is supported. The function_score method is supported in vector retrieval.
3.8.9	New features	Table-level monitoring is supported. Multi-query RRF is supported in vector retrieval. Automatic embedding during write operations is supported in vector retrieval. Sparse vectors are supported in vector retrieval. Directed routing is supported in batch writes. Enumerated partitions are supported for time-partitioned indexing. Nested queries are supported by flat objects. The rolling update of the IK dictionary is supported.
3.8.3	New features	Multi-table queries and the DataStream feature are supported in vector retrieval. DDL operations related to index building are supported in vector retrieval. Data export is supported in vector retrieval. The time-to-live (TTL) of an index can be configured. Tiered storage of cold and hot data is supported.
3.8.2	New features	The web-based search page is added. Full-text search and vector RRF are supported in vector retrieval. Vector read and write operations can be monitored.
3.8.1	New features	The vector retrieval feature is supported. Custom routing is supported in time-partitioned indexing.
3.7.10	New features	Search indexes based on the time range partitioning policy are supported. Partitions can be automatically pruned based on time. The built-in pinyin analyzer is supported.
3.7.7	New features	The ElasticSearch 7.10 protocol is supported. The architecture decouples storage from compute and supports LDFS shared storage. The Zstandard compression algorithm is supported. The built-in IK analyzer is supported.

Solr Compatible Version Guide

Minor version	Category	Description
8.10.6	New features	The vector retrieval of unstructured data is supported. Dictionary files can be dynamically updated.
8.10.1	New features	Operators in more SQL statements can be pushed down. Cold storage is supported. For more information, see Configure cold storage.
7.7.13	Security update	Security patches are added to improve system security.
7.7.12	New features	Open source Apache Solr Java Database Connectivity (JDBC) can be used to access LindormSearch. For more information, see Use a JDBC driver to connect to and send SQL requests to LindormSearch.
7.7.11	New features	The real-time search feature is supported. You can search for data immediately after the data is written. The TTL feature for data can be dynamically configured. Indexes can be created for nested documents.
7.7.10	New features	When pre-sorting is used, queries can be terminated before results are returned or queries can be accelerated. An API has been added to retrieve the size of the index table.