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Highlights of the 7.7 release
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109 changes: 109 additions & 0 deletions docs/reference/release-notes/highlights-7.7.0.asciidoc
Original file line number Diff line number Diff line change
Expand Up @@ -18,3 +18,112 @@ pivot and summarize your data and store it in a new index. See
{ref}//transform-apis.html[{transform-cap} APIs].

// end::notable-highlights[]

// tag::notable-highlights[]
[float]
=== Finer memory control for bucket aggregations

We introduced a new `search.check_buckets_step_size` setting to
better control how the coordinating node allocates memory when aggregating
buckets. The allocation of buckets is now be done in steps, each step
allocating a number of buckets equal to this setting. To avoid an `OutOfMemory`
error, a parent circuit breaker check is performed on allocation.

// end::notable-highlights[]

// tag::notable-highlights[]
[float]
=== A new way of searching: asynchronously

You can now submit {ref}/async-search-intro.html[long-running searches] using
the new {ref}/async-search.html[`_async_search` API]. The new API accepts the
same parameters and request body as the {ref}/search-search.html[Search API].
However, instead of blocking and returning the final response only when it's
entirely finished, you can retrieve results from an async search as they become
available.

The request takes a parameter, `wait_for_completion`, which controls how long
the server will wait until it sends back a response. The first response
contains among others a search unique ID, a response version, an indication if
this response is partial or not, plus the usual metadata (shards involved,
number of hits etc) and potentially results. If the response is not complete
and final, the client can continue polling for results, issuing a new request
using the provided search ID. If new results are available, the returned
version is incremented and the new batch of results are returned. This can
continue until all the results are fetched.

Unless deleted earlier by the user, the asynchronous searches are kept alive
for a given interval. This defaults to 5 days and can be controlled by another
request parameter, `keep_alive`.
// end::notable-highlights[]

// tag::notable-highlights[]
[float]
=== Password protection for the keystore

{es} uses a custom on-disk {ref}/secure-settings.html[keystore] for secure settings such as
passwords and SSL certificates. Up until now, this prevented users with
{ref}/elasticsearch-keystore.html[command-line access] from viewing secure files by listing commands, but nothing
prevented such users from changing values in the keystore, or removing values
from it. Furthermore, the values were only obfuscated by a hash; no
user-specific secret protected the secure settings.

This new feature changes all of that by adding password-protection to the
keystore. This is not be a breaking change: if a keystore has no password,
there won’t be any new prompts. A user must choose to password-protect their
keystore in order to benefit from the new behavior.

// end::notable-highlights[]

// tag::notable-highlights[]
[float]
=== A new aggregation: `top_metrics`

The new {ref}//search-aggregations-metrics-top-metrics.html[`top_metrics` aggregation] "selects" a metric from a document according
to a criteria on a given, different field. That criteria is currently the
largest or smallest "sort" value. It is fairly similar to `top_hits` in spirit,
but because it is more limited, `top_metrics` uses less memory and
is often faster.

// end::notable-highlights[]

// tag::notable-highlights[]
[float]
=== Query speed-up for sorted queries on time-based indices

We've optimized sorted, top-documents-only queries run on time-based indices.
The optimization stems from the fact that the ranges of (document) timestamps
in the shards don't overlap. It is implemented by rewriting the shard search
requests based on the partial results already available from other shards, if
it can be determined that the query will not yield any result from the current
shard; i.e. we know in advance that the bottom entry of the (sorted) result set
after a partial merge is better than the values contained in this current
shard.

// end::notable-highlights[]

// tag::notable-highlights[]
[float]
=== A new aggregation: `boxplot`

The https://en.wikipedia.org/wiki/Interquartile_range[interquartile range (IQR)] is a common robust measure of statistical dispersion.
Compared to the standard deviation, the IQR is less sensitive to outliers in
the data, with a breakdown point of 0.25. Along with the median, it is often
used in creating a box plot, a simple yet common way to summarize data and
identify potential outliers.

The new {ref}/search-aggregations-metrics-boxplot-aggregation.html[`boxplot`
aggregation] calculates the min, max, and medium as well as the first and third
quartiles of a given data set.

// end::notable-highlights[]

// tag::notable-highlights[]
[float]
=== AArch64 support

{es} now provides AArch64 packaging, including bundling an AArch64 JDK
distribution. There are some restrictions in place, namely no {ml} support and
depending on underlying page sizes, class data sharing is disabled.

// end::notable-highlights[]