Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

December 2, 2013

ElasticSearch 1.0.0.Beta2 released

Filed under: Aggregation,ElasticSearch,Search Engines — Patrick Durusau @ 4:08 pm

ElasticSearch 1.0.0.Beta2 released by Clinton Gromley.

From the post:

Today we are delighted to announce the release of elasticsearch 1.0.0.Beta2, the second beta release on the road to 1.0.0 GA. The new features we have planned for 1.0.0 have come together more quickly than we expected, and this beta release is chock full of shiny new toys. Christmas has come early!

We have added:

Please download elasticsearch 1.0.0.Beta2, try it out, break it, figure out what is missing and tell us about it. Our next release will focus on cleaning up inconsistent APIs and usability, plus fixing any bugs that are reported in the new functionality, so your early bug reports are an important part of ensuring that 1.0.0 GA is solid.

WARNING: This is a beta release – it is not production ready, features are not set in stone and may well change in the next version, and once you have made any changes to your data with this release, it will no longer be readable by older versions!

Suggestion: Pay close attention to the documentation on the new aggregation capabilities.

For example:

There are many different types of aggregations, each with its own purpose and output. To better understand these types, it is often easier to break them into two main families:

Bucketing: A family of aggregations that build buckets, where each bucket is associated with a key and a document criteria. When the aggregations is executed, the buckets criterias are evaluated on every document in the context and when matches, the document is considered to “fall in” the relevant bucket. By the end of the aggreagation process, we’ll end up with a list of buckets – each one with a set of documents that “belong” to it.

Metric: Aggregations that keep track and compute metrics over a set of documents

The interesting part comes next, since each bucket effectively defines a document set (all documents belonging to the bucket), one can potentially associated aggregations on the bucket level, and those will execute within the context of that bucket. This is where the real power of aggregations kicks in: aggregations can be nested!

Interesting, yes?

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