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Auto-generated code for 8.x (#2548)
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elasticmachine authored Jan 7, 2025
1 parent 35ce1bf commit cb6084b
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Showing 55 changed files with 3,126 additions and 785 deletions.
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Expand Up @@ -3,11 +3,8 @@

[source, js]
----
const response = await client.indices.putSettings({
index: "my-index-000001",
settings: {
"index.blocks.read_only_allow_delete": null,
},
const response = await client.indices.getMapping({
index: "kibana_sample_data_ecommerce",
});
console.log(response);
----
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Expand Up @@ -11,6 +11,8 @@ const response = await client.indices.putSettings({
"index.indexing.slowlog.threshold.index.debug": "2s",
"index.indexing.slowlog.threshold.index.trace": "500ms",
"index.indexing.slowlog.source": "1000",
"index.indexing.slowlog.reformat": true,
"index.indexing.slowlog.include.user": true,
},
});
console.log(response);
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42 changes: 42 additions & 0 deletions docs/doc_examples/082e78c7a2061a7c4a52b494e5ede0e8.asciidoc
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// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples

[source, js]
----
const response = await client.indices.create({
index: "my-rank-vectors-bit",
mappings: {
properties: {
my_vector: {
type: "rank_vectors",
element_type: "bit",
},
},
},
});
console.log(response);
const response1 = await client.bulk({
index: "my-rank-vectors-bit",
refresh: "true",
operations: [
{
index: {
_id: "1",
},
},
{
my_vector: [127, -127, 0, 1, 42],
},
{
index: {
_id: "2",
},
},
{
my_vector: "8100012a7f",
},
],
});
console.log(response1);
----
15 changes: 0 additions & 15 deletions docs/doc_examples/0e83f140237d75469a428ff403564bb5.asciidoc

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22 changes: 0 additions & 22 deletions docs/doc_examples/1420a22aa817c7a996baaed0ad366d6f.asciidoc

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67 changes: 67 additions & 0 deletions docs/doc_examples/246763219ec06172f7aa57bba28d344a.asciidoc
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// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples

[source, js]
----
const response = await client.indices.create({
index: "my-rank-vectors-bit",
mappings: {
properties: {
my_vector: {
type: "rank_vectors",
element_type: "bit",
},
},
},
});
console.log(response);
const response1 = await client.bulk({
index: "my-rank-vectors-bit",
refresh: "true",
operations: [
{
index: {
_id: "1",
},
},
{
my_vector: [127, -127, 0, 1, 42],
},
{
index: {
_id: "2",
},
},
{
my_vector: "8100012a7f",
},
],
});
console.log(response1);
const response2 = await client.search({
index: "my-rank-vectors-bit",
query: {
script_score: {
query: {
match_all: {},
},
script: {
source: "maxSimDotProduct(params.query_vector, 'my_vector')",
params: {
query_vector: [
[
0.35, 0.77, 0.95, 0.15, 0.11, 0.08, 0.58, 0.06, 0.44, 0.52, 0.21,
0.62, 0.65, 0.16, 0.64, 0.39, 0.93, 0.06, 0.93, 0.31, 0.92, 0,
0.66, 0.86, 0.92, 0.03, 0.81, 0.31, 0.2, 0.92, 0.95, 0.64, 0.19,
0.26, 0.77, 0.64, 0.78, 0.32, 0.97, 0.84,
],
],
},
},
},
},
});
console.log(response2);
----
26 changes: 26 additions & 0 deletions docs/doc_examples/2a21674c40f9b182a8944769d20b2357.asciidoc
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// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples

[source, js]
----
const response = await client.search({
index: "my-rank-vectors-float",
query: {
script_score: {
query: {
match_all: {},
},
script: {
source: "maxSimDotProduct(params.query_vector, 'my_vector')",
params: {
query_vector: [
[0.5, 10, 6],
[-0.5, 10, 10],
],
},
},
},
},
});
console.log(response);
----
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Expand Up @@ -14,6 +14,7 @@ const response = await client.indices.putSettings({
"index.search.slowlog.threshold.fetch.info": "800ms",
"index.search.slowlog.threshold.fetch.debug": "500ms",
"index.search.slowlog.threshold.fetch.trace": "200ms",
"index.search.slowlog.include.user": true,
},
});
console.log(response);
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67 changes: 67 additions & 0 deletions docs/doc_examples/37f367ca81a16d3aef4ef7126ec33a2e.asciidoc
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// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples

[source, js]
----
const response = await client.search({
index: "movies",
size: 10,
retriever: {
rescorer: {
rescore: {
query: {
window_size: 50,
rescore_query: {
script_score: {
script: {
source:
"cosineSimilarity(params.queryVector, 'product-vector_final_stage') + 1.0",
params: {
queryVector: [-0.5, 90, -10, 14.8, -156],
},
},
},
},
},
},
retriever: {
rrf: {
rank_window_size: 100,
retrievers: [
{
standard: {
query: {
sparse_vector: {
field: "plot_embedding",
inference_id: "my-elser-model",
query: "films that explore psychological depths",
},
},
},
},
{
standard: {
query: {
multi_match: {
query: "crime",
fields: ["plot", "title"],
},
},
},
},
{
knn: {
field: "vector",
query_vector: [10, 22, 77],
k: 10,
num_candidates: 10,
},
},
],
},
},
},
},
});
console.log(response);
----
16 changes: 16 additions & 0 deletions docs/doc_examples/3ea4c971b3f47735dcc207ee2645fa03.asciidoc
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// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples

[source, js]
----
const response = await client.indices.updateAliases({
actions: [
{
remove_index: {
index: "my-index-2099.05.06-000001",
},
},
],
});
console.log(response);
----
18 changes: 18 additions & 0 deletions docs/doc_examples/3f9dcf2aa42f3ecfb5ebfe48c1774103.asciidoc
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@@ -0,0 +1,18 @@
// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples

[source, js]
----
const response = await client.search({
index: "kibana_sample_data_ecommerce",
size: 0,
aggs: {
order_stats: {
stats: {
field: "taxful_total_price",
},
},
},
});
console.log(response);
----
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Expand Up @@ -4,9 +4,11 @@
[source, js]
----
const response = await client.indices.putSettings({
index: "my-index-000001",
index: "*",
settings: {
"index.search.slowlog.include.user": true,
"index.search.slowlog.threshold.fetch.warn": "30s",
"index.search.slowlog.threshold.query.warn": "30s",
},
});
console.log(response);
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Expand Up @@ -12,6 +12,13 @@ const response = await client.search({
fields: ["my_field", "my_field._2gram", "my_field._3gram"],
},
},
highlight: {
fields: {
my_field: {
matched_fields: ["my_field._index_prefix"],
},
},
},
});
console.log(response);
----
24 changes: 24 additions & 0 deletions docs/doc_examples/730045fae3743c39b612813a42c330c3.asciidoc
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// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples

[source, js]
----
const response = await client.search({
index: "my-index-000001",
query: {
prefix: {
full_name: {
value: "ki",
},
},
},
highlight: {
fields: {
full_name: {
matched_fields: ["full_name._index_prefix"],
},
},
},
});
console.log(response);
----
33 changes: 33 additions & 0 deletions docs/doc_examples/7478ff69113fb53f41ea07cdf911fa67.asciidoc
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// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples

[source, js]
----
const response = await client.search({
index: "kibana_sample_data_ecommerce",
size: 0,
aggs: {
daily_sales: {
date_histogram: {
field: "order_date",
calendar_interval: "day",
},
aggs: {
daily_revenue: {
sum: {
field: "taxful_total_price",
},
},
smoothed_revenue: {
moving_fn: {
buckets_path: "daily_revenue",
window: 3,
script: "MovingFunctions.unweightedAvg(values)",
},
},
},
},
},
});
console.log(response);
----
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