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10 changes: 10 additions & 0 deletions
10
docs/doc_examples/0722b302b2b3275a988d858044f99d5d.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.getMapping({ | ||
index: "kibana_sample_data_ecommerce", | ||
}); | ||
console.log(response); | ||
---- |
67 changes: 67 additions & 0 deletions
67
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
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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
18
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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24 changes: 24 additions & 0 deletions
24
docs/doc_examples/730045fae3743c39b612813a42c330c3.asciidoc
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@@ -0,0 +1,24 @@ | ||
// 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
33
docs/doc_examples/7478ff69113fb53f41ea07cdf911fa67.asciidoc
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@@ -0,0 +1,33 @@ | ||
// 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); | ||
---- |
37 changes: 37 additions & 0 deletions
37
docs/doc_examples/7dd0d9cc6c5982a2c003d301e90feeba.asciidoc
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,37 @@ | ||
// 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", | ||
format: "yyyy-MM-dd", | ||
}, | ||
aggs: { | ||
revenue: { | ||
sum: { | ||
field: "taxful_total_price", | ||
}, | ||
}, | ||
unique_customers: { | ||
cardinality: { | ||
field: "customer_id", | ||
}, | ||
}, | ||
avg_basket_size: { | ||
avg: { | ||
field: "total_quantity", | ||
}, | ||
}, | ||
}, | ||
}, | ||
}, | ||
}); | ||
console.log(response); | ||
---- |
39 changes: 39 additions & 0 deletions
39
docs/doc_examples/8c639d3eef5c2de29e12bd9c6a42d3d4.asciidoc
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---|---|---|
@@ -0,0 +1,39 @@ | ||
// 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: { | ||
categories: { | ||
terms: { | ||
field: "category.keyword", | ||
size: 5, | ||
order: { | ||
total_revenue: "desc", | ||
}, | ||
}, | ||
aggs: { | ||
total_revenue: { | ||
sum: { | ||
field: "taxful_total_price", | ||
}, | ||
}, | ||
avg_order_value: { | ||
avg: { | ||
field: "taxful_total_price", | ||
}, | ||
}, | ||
total_items: { | ||
sum: { | ||
field: "total_quantity", | ||
}, | ||
}, | ||
}, | ||
}, | ||
}, | ||
}); | ||
console.log(response); | ||
---- |
18 changes: 18 additions & 0 deletions
18
docs/doc_examples/b590241c4296299b836fbb5a95bdd2dc.asciidoc
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -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: { | ||
avg_order_value: { | ||
avg: { | ||
field: "taxful_total_price", | ||
}, | ||
}, | ||
}, | ||
}); | ||
console.log(response); | ||
---- |
21 changes: 21 additions & 0 deletions
21
docs/doc_examples/b6d278737d27973e498ac61cda9e5126.asciidoc
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---|---|---|
@@ -0,0 +1,21 @@ | ||
// 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_orders: { | ||
date_histogram: { | ||
field: "order_date", | ||
calendar_interval: "day", | ||
format: "yyyy-MM-dd", | ||
min_doc_count: 0, | ||
}, | ||
}, | ||
}, | ||
}); | ||
console.log(response); | ||
---- |
22 changes: 22 additions & 0 deletions
22
docs/doc_examples/bdc55256fa5f701680631a149dbb75a9.asciidoc
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---|---|---|
@@ -0,0 +1,22 @@ | ||
// 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: { | ||
sales_by_category: { | ||
terms: { | ||
field: "category.keyword", | ||
size: 5, | ||
order: { | ||
_count: "desc", | ||
}, | ||
}, | ||
}, | ||
}, | ||
}); | ||
console.log(response); | ||
---- |
31 changes: 31 additions & 0 deletions
31
docs/doc_examples/bdd28276618235487ac96bd6679bc206.asciidoc
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,31 @@ | ||
// 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: { | ||
revenue: { | ||
sum: { | ||
field: "taxful_total_price", | ||
}, | ||
}, | ||
cumulative_revenue: { | ||
cumulative_sum: { | ||
buckets_path: "revenue", | ||
}, | ||
}, | ||
}, | ||
}, | ||
}, | ||
}); | ||
console.log(response); | ||
---- |
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