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@@ -1,9 +1,9 @@ | ||
{ | ||
"upstream" : "elastic/elasticsearch", | ||
"targetBranchChoices" : [ "main", "8.13", "8.12", "8.11", "8.10", "8.9", "8.8", "8.7", "8.6", "8.5", "8.4", "8.3", "8.2", "8.1", "8.0", "7.17", "6.8" ], | ||
"targetBranchChoices" : [ "main", "8.14", "8.13", "8.12", "8.11", "8.10", "8.9", "8.8", "8.7", "8.6", "8.5", "8.4", "8.3", "8.2", "8.1", "8.0", "7.17", "6.8" ], | ||
"targetPRLabels" : [ "backport" ], | ||
"branchLabelMapping" : { | ||
"^v8.14.0$" : "main", | ||
"^v8.15.0$" : "main", | ||
"^v(\\d+).(\\d+).\\d+(?:-(?:alpha|beta|rc)\\d+)?$" : "$1.$2" | ||
} | ||
} |
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|
@@ -32,3 +32,4 @@ BWC_VERSION: | |
- "8.12.2" | ||
- "8.13.3" | ||
- "8.14.0" | ||
- "8.15.0" |
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|
@@ -2,3 +2,4 @@ BWC_VERSION: | |
- "7.17.21" | ||
- "8.13.3" | ||
- "8.14.0" | ||
- "8.15.0" |
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|
@@ -4,6 +4,9 @@ | |
{ | ||
"branch": "main" | ||
}, | ||
{ | ||
"branch": "8.14" | ||
}, | ||
{ | ||
"branch": "8.13" | ||
}, | ||
|
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@@ -1,4 +1,4 @@ | ||
elasticsearch = 8.14.0 | ||
elasticsearch = 8.15.0 | ||
lucene = 9.10.0 | ||
|
||
bundled_jdk_vendor = openjdk | ||
|
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@@ -1,5 +1,19 @@ | ||
pr: 106133 | ||
summary: Add an optimised vector distance function for aarch64 | ||
summary: Add a SIMD (Neon) optimised vector distance function for int8 | ||
area: Search | ||
type: enhancement | ||
issues: [] | ||
highlight: | ||
title: A SIMD (Neon) optimised vector distance function for merging int8 Scalar Quantized vectors has been added | ||
body: |- | ||
An optimised int8 vector distance implementation for aarch64 has been added. | ||
This implementation is currently only used during merging. | ||
The vector distance implementation outperforms Lucene's Pamana Vector | ||
implementation for binary comparisons by approx 5x (depending on the number | ||
of dimensions). It does so by means of SIMD (Neon) intrinsics compiled into a | ||
separate native library and link by Panama's FFI. Comparisons are performed on | ||
off-heap mmap'ed vector data. | ||
Macro benchmarks, SO_Dense_Vector with scalar quantization enabled, shows | ||
significant improvements in merge times, approximately 3 times faster. | ||
notable: true | ||
|
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@@ -0,0 +1,5 @@ | ||
pr: 107178 | ||
summary: "Add support for Azure OpenAI embeddings to inference service" | ||
area: Machine Learning | ||
type: feature | ||
issues: [ ] |
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@@ -0,0 +1,7 @@ | ||
pr: 107328 | ||
summary: "ESQL: Fix missing refs due to pruning renamed grouping columns" | ||
area: ES|QL | ||
type: bug | ||
issues: | ||
- 107083 | ||
- 107166 |
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pr: 107334 | ||
summary: Adding `cache_stats` to geoip stats API | ||
area: Ingest Node | ||
type: enhancement | ||
issues: [] |
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pr: 107449 | ||
summary: Leverage ordinals in enrich lookup | ||
area: ES|QL | ||
type: enhancement | ||
issues: [] |
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@@ -0,0 +1,6 @@ | ||
pr: 107494 | ||
summary: Handle infinity during synthetic source construction for scaled float field | ||
area: Mapping | ||
type: bug | ||
issues: | ||
- 107101 |
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pr: 107517 | ||
summary: Add GET `_inference` for all inference endpoints | ||
area: Machine Learning | ||
type: enhancement | ||
issues: [] |
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pr: 107533 | ||
summary: Add setting for max connections to S3 | ||
area: Snapshot/Restore | ||
type: enhancement | ||
issues: [] |
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pr: 107551 | ||
summary: Avoid attempting to load the same empty field twice in fetch phase | ||
area: Search | ||
type: bug | ||
issues: [] |
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