Elasticsearch:AliES kernel-enhanced edition

Enhancement category

Feature name

What it does

Version 7.16

Version 7.10

Version 6.7

Performance

Analyticsearch retrieval and analysis

Accelerates Kibana Discover queries and supports concurrent queries to reduce query time in log scenarios.

For details, see Use the analytic-search plug-in.

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Kernel 1.7.0 and later

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Physical replication plug-in

Provides an index-level switch for real-time incremental synchronization between primary and replica shards. Reduces cluster CPU overhead and improves write performance by 60%.

For details, see Use the physical replication feature of the apack plug-in.

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Kernel 1.2.0 and later

Bulk write aggregation plug-in

Aggregates bulk write requests in batches based on a specified request size and time interval. Increases cluster write throughput by 20%.

For details, see Use the bulk aggregation plug-in (faster-bulk).

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Time-series query pruning

Crops data by time range in time-series scenarios. Improves query performance for time-series fields by 30%.

For details, see Use the time-series query pruning feature.

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Stability

QoS throttling plug-in

Implements index-level read/write throttling. Downgrades indexes based on specified rules to control cluster read/write traffic and improve stability.

For details, see Use the cluster throttling plug-in (aliyun-qos).

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Cost optimization

Index compression plug-in

Compresses index files using algorithms such as Brotli and Zstd. Reduces index storage size by more than 40%.

For details, see:

Versions 7.16 and 7.10: Use the aliyun-codec plug-in

Version 6.7 (instances created before April 2024 only): Use the index compression plug-in (beta) (codec-compression)

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Feature optimization

Timestream time-series plug-in

Supports creating, reading, updating, and deleting time-series indexes. Also supports downsampling write queries and Prometheus Query Language (PromQL) queries. Reduces storage and usage costs for time-series data.

For details, see Introduction to the TimeStream time-series enhancement engine.

Kernel 1.8.0 and later

Kernel 1.7.0 and later

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Aliws tokenizer plug-in

Integrates an analyzer and a tokenizer from Alibaba DAMO Academy's NLP technology, providing a comprehensive tokenization dictionary for data retrieval and analysis.

For details, see Use the AliNLP tokenizer plug-in (analysis-aliws).

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Feature name

How it works

Billing

Indexing Service

Based on a read/write splitting architecture, Indexing Service forwards write requests to a cloud service for index building, offloading write pressure from your cluster.

• Cloud write resources scale automatically to match traffic. This provides over 10× write elasticity, handling peak write loads without manual scaling.

• In high-write scenarios, cluster computing resource costs can be reduced by more than 50%. You pay for actual write traffic — no resources are idle during off-peak hours, so you do not need to reserve capacity for peak loads.

For details, see Introduction to Indexing Service.

Charged for actual write traffic.

Openstore intelligent hybrid storage

Based on a storage-compute separation architecture, you do not need to plan and purchase cluster data storage space in advance. You are charged for the actual amount of data stored.

• Storage unit price is 70% lower than cloud disks, which greatly reduces cluster storage costs.

• Data is automatically tiered based on query frequency, so you do not need to configure index lifecycles manually.

• Multiple replica shards share one copy of data without increasing storage costs, providing 99.9999999999% data high availability.

For details, see OpenStore intelligent hybrid storage engine.

Charged for actual Openstore storage space used.