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Bring 8.17.0 release to main (#2730)
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191 files changed

+1646
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‎docs/examples/00fea15cbca83be9d5f1a024ff2ec708.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// inference/service-elasticsearch.asciidoc:163
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// inference/service-elasticsearch.asciidoc:195
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[source, python]
55
----

‎docs/examples/015e6e6132b6d6d44bddb06bc3b316ed.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// search/search-your-data/retrievers-examples.asciidoc:788
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[source, python]
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----
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resp = client.search(
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index="retrievers_example",
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retriever={
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"rrf": {
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"retrievers": [
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{
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"standard": {
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"query": {
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"range": {
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"year": {
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"gt": 2023
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}
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}
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}
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}
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},
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{
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"standard": {
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"query": {
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"term": {
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"topic": "elastic"
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}
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}
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}
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}
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],
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"rank_window_size": 10,
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"rank_constant": 1
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}
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},
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source=False,
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aggs={
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"topics": {
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"terms": {
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"field": "topic"
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}
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}
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},
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)
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print(resp)
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----

‎docs/examples/0165d22da5f2fc7678392b31d8eb5566.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// search/search-your-data/retrievers-examples.asciidoc:1100
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[source, python]
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----
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resp = client.inference.put(
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task_type="rerank",
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inference_id="my-rerank-model",
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inference_config={
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"service": "cohere",
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"service_settings": {
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"model_id": "rerank-english-v3.0",
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"api_key": "{{COHERE_API_KEY}}"
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}
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},
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)
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print(resp)
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----

‎docs/examples/0709a38613d2de90d418ce12b36af30e.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// troubleshooting/common-issues/red-yellow-cluster-status.asciidoc:109
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// troubleshooting/common-issues/red-yellow-cluster-status.asciidoc:113
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[source, python]
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----

‎docs/examples/0722b302b2b3275a988d858044f99d5d.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// quickstart/aggs-tutorial.asciidoc:45
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[source, python]
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----
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resp = client.indices.get_mapping(
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index="kibana_sample_data_ecommerce",
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)
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print(resp)
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----

‎docs/examples/083b92e8ea264e49bf9fd40fc6a3094b.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// inference/service-elasticsearch.asciidoc:223
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// inference/service-elasticsearch.asciidoc:255
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[source, python]
55
----

‎docs/examples/0bc6155e0c88062a4d8490da49db3aa8.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// search/search-your-data/retrievers-examples.asciidoc:549
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[source, python]
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----
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resp = client.search(
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index="retrievers_example_nested",
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retriever={
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"rrf": {
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"retrievers": [
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{
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"standard": {
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"query": {
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"nested": {
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"path": "nested_field",
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"inner_hits": {
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"name": "nested_vector",
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"_source": False,
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"fields": [
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"nested_field.paragraph_id"
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]
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},
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"query": {
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"knn": {
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"field": "nested_field.nested_vector",
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"query_vector": [
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1,
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0,
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0.5
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],
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"k": 10
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}
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}
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}
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}
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}
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},
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{
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"standard": {
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"query": {
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"term": {
42+
"topic": "ai"
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}
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}
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}
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}
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],
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"rank_window_size": 10,
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"rank_constant": 1
50+
}
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},
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source=[
53+
"topic"
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],
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)
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print(resp)
57+
----

‎docs/examples/0bee07a581c5776e068f6f4efad5a399.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// esql/esql-across-clusters.asciidoc:197
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// esql/esql-across-clusters.asciidoc:192
33

44
[source, python]
55
----
6-
resp = client.esql.async_query(
7-
format="json",
6+
resp = client.perform_request(
7+
"POST",
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"/_query/async",
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params={
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"format": "json"
11+
},
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headers={"Content-Type": "application/json"},
813
body={
914
"query": "\n FROM my-index-000001,cluster_one:my-index-000001,cluster_two:my-index*\n | STATS COUNT(http.response.status_code) BY user.id\n | LIMIT 2\n ",
1015
"include_ccs_metadata": True

‎docs/examples/160986f49758f4e8345d183a842f6351.asciidoc renamed to ‎docs/examples/0c52af573c9401a2a687e86a4beb182b.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// ingest/processors/attachment.asciidoc:165
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// ingest/processors/attachment.asciidoc:214
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[source, python]
55
----
@@ -10,7 +10,7 @@ resp = client.ingest.put_pipeline(
1010
{
1111
"attachment": {
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"field": "data",
13-
"remove_binary": False
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"remove_binary": True
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}
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}
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],

‎docs/examples/0d689ac6e78be5d438f9b5d441be2b44.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// search/search-your-data/retrievers-examples.asciidoc:928
3+
4+
[source, python]
5+
----
6+
resp = client.search(
7+
index="retrievers_example",
8+
retriever={
9+
"rrf": {
10+
"retrievers": [
11+
{
12+
"standard": {
13+
"query": {
14+
"term": {
15+
"topic": "elastic"
16+
}
17+
}
18+
}
19+
},
20+
{
21+
"rrf": {
22+
"retrievers": [
23+
{
24+
"standard": {
25+
"query": {
26+
"query_string": {
27+
"query": "(information retrieval) OR (artificial intelligence)",
28+
"default_field": "text"
29+
}
30+
}
31+
}
32+
},
33+
{
34+
"knn": {
35+
"field": "vector",
36+
"query_vector": [
37+
0.23,
38+
0.67,
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0.89
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],
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"k": 3,
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"num_candidates": 5
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}
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}
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],
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"rank_window_size": 10,
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"rank_constant": 1
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}
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}
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],
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"rank_window_size": 10,
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"rank_constant": 1
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}
54+
},
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source=False,
56+
size=1,
57+
explain=True,
58+
)
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print(resp)
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----

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