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Open Distro for Elasticsearch 1.13.0 is now available

We are pleased to release Open Distro for Elasticsearch 1.13.0 with new features including asynchronous search, a historical data analysis feature for Anomaly Detection, the ability to run on ARM processors, and new SQL capabilities. You can grab a copy from our Getting Started & Downloads page.

Open Distro for Elasticsearch 1.13.0 includes version 7.10.2 of open source Elasticsearch and Kibana, plus Apache 2.0-licensed plugins that provide alerting, anomaly detection, index management, performance analysis, security, SQL, k-NN, and more. Other components, including ODBC and JDBC drivers, a command line SQL client, and a command line performance visualization tool (“PerfTop”) are also available to download.

Asynchronous search lets you run queries across large data sets, or data sets that span multiple clusters, and allows Elasticsearch clients to receive results as they become available. With the new asynchronous search capability you can run non-blocking queries in the background, avoiding failures by resource exhaustion or client timeouts. You can monitor the progress of long running searches, obtain partial results, and save the results to an index for later examination.

Historical data analysis in anomaly detection

Historical data analysis is now available in Anomaly Detection. With this feature, you can analyze and apply machine learning models over long historical data windows to identify anomaly patterns, seasonality, and trends.

Screenshot of Demo Screenshot of Demo

ARM processor support

You can now run Open Distro for Elasticsearch on 64-bit ARM processors. ARM support has been one of the most requested features for Open Distro, and is another step toward making it easy to deploy and run on premises or in the cloud on the architecture of your choice. People are excited about the improvements to power consumption and performance of ARM-based server architectures. In our own testing, switching to ARM yielded a 20-28% performance increase for representative workloads. ARM builds of ODFE are available alongside X64 builds on the download page.

SQL enhancements and additional capabilities

Starting with Open Distro 1.13, you can use identifier names containing special characters. You can specify date and interval types, and use date and time functions. The SQL engine now supports complex nested expressions, and lets you perform queries that contain the HAVING clause without GROUP BY and subqueries in FROM clauses. With the FILTER clause, you can set specific conditions for your aggregation bucket. You can use the ORDER BY clause to specify the order of documents with missing fields either before or after the documents containing no missing fields. You can also use ORDER BY clause on aggregate functions, and perform aggregations on expressions. Finally, with enhanced PartiQL (JSON) support, you can query object fields at deeper levels.

See the release notes for a complete list of new features, enhancements, and bug fixes.

Download the latest packages

Join the community! If you aren’t yet participating in the Open Distro for Elasticsearch community we would love to have you onboard. A few ways to participate:

If you’re already part of our community of users and contributors, a hearty ‘thank you’ from the entire team goes to you. Special thanks to SKlimov, elb3k, Purneau and nicot for their contributions to Open Distro for Elasticsearch 1.13.0. We’re glad you’ve joined us on this journey and we deeply hope that this release solves a few problems and delights you along the way.

About the Authors

Viraj Phanse is a product management leader at Amazon Web Services for Analytics/Search Services. You can find him on GitHub or Twitter @vrphanse

Kyle Davis is the developer advocate dedicated to Open Distro for Elasticsearch. You can find him on Github or Twitter @stockholmux.