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Auto-generated code for 8.17 (#2550)
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90 files changed

+3023
-707
lines changed

‎docs/doc_examples/e20037f66bf54bcac7d10f536f031f34.asciidoc renamed to ‎docs/doc_examples/0722b302b2b3275a988d858044f99d5d.asciidoc

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[source, js]
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----
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const response = await client.indices.putSettings({
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index: "my-index-000001",
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settings: {
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"index.blocks.read_only_allow_delete": null,
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},
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const response = await client.indices.getMapping({
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index: "kibana_sample_data_ecommerce",
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});
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console.log(response);
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----

‎docs/doc_examples/844928da2ff9a1394af5347a5e2e4f78.asciidoc renamed to ‎docs/doc_examples/074e4602d1ca54412380a40867d078bc.asciidoc

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@@ -11,6 +11,8 @@ const response = await client.indices.putSettings({
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"index.indexing.slowlog.threshold.index.debug": "2s",
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"index.indexing.slowlog.threshold.index.trace": "500ms",
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"index.indexing.slowlog.source": "1000",
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"index.indexing.slowlog.reformat": true,
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"index.indexing.slowlog.include.user": true,
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},
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});
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console.log(response);

‎docs/doc_examples/082e78c7a2061a7c4a52b494e5ede0e8.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// Use `node scripts/generate-docs-examples.js` to generate the docs examples
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[source, js]
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----
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const response = await client.indices.create({
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index: "my-rank-vectors-bit",
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mappings: {
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properties: {
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my_vector: {
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type: "rank_vectors",
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element_type: "bit",
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},
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},
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},
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});
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console.log(response);
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const response1 = await client.bulk({
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index: "my-rank-vectors-bit",
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refresh: "true",
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operations: [
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{
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index: {
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_id: "1",
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},
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},
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{
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my_vector: [127, -127, 0, 1, 42],
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},
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{
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index: {
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_id: "2",
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},
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},
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{
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my_vector: "8100012a7f",
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},
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],
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});
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console.log(response1);
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----

‎docs/doc_examples/0bee07a581c5776e068f6f4efad5a399.asciidoc

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[source, js]
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----
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const response = await client.esql.asyncQuery({
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format: "json",
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const response = await client.transport.request({
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method: "POST",
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path: "/_query/async",
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querystring: {
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format: "json",
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},
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body: {
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query:
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"\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 ",

‎docs/doc_examples/0dfde6a9d953822fd4b3aa0121ddd8fb.asciidoc

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[source, js]
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----
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const response = await client.searchApplication.renderQuery({
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name: "my-app",
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const response = await client.transport.request({
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method: "POST",
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path: "/_application/search_application/my-app/_render_query",
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body: {
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params: {
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query_string: "my first query",

‎docs/doc_examples/0e83f140237d75469a428ff403564bb5.asciidoc

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‎docs/doc_examples/1420a22aa817c7a996baaed0ad366d6f.asciidoc

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‎docs/doc_examples/16634cfa7916cf4e8048a1d70e6240f2.asciidoc

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script: {
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lang: "mustache",
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source:
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'\n {\n "query": {\n "bool": {\n "must": [\n {{#query}}\n \n {{/query}}\n ],\n "filter": {{#toJson}}_es_filters{{/toJson}}\n }\n },\n "_source": {\n "includes": ["title", "plot"]\n },\n "highlight": {\n "fields": {\n "title": { "fragment_size": 0 },\n "plot": { "fragment_size": 200 }\n }\n },\n "aggs": {{#toJson}}_es_aggs{{/toJson}},\n "from": {{from}},\n "size": {{size}},\n "sort": {{#toJson}}_es_sort_fields{{/toJson}}\n }\n ',
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'\n {\n "query": {\n "bool": {\n "must": [\n {{#query}}\n {{/query}}\n ],\n "filter": {{#toJson}}_es_filters{{/toJson}}\n }\n },\n "_source": {\n "includes": ["title", "plot"]\n },\n "highlight": {\n "fields": {\n "title": { "fragment_size": 0 },\n "plot": { "fragment_size": 200 }\n }\n },\n "aggs": {{#toJson}}_es_aggs{{/toJson}},\n "from": {{from}},\n "size": {{size}},\n "sort": {{#toJson}}_es_sort_fields{{/toJson}}\n }\n ',
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params: {
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query: "",
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_es_filters: {},

‎docs/doc_examples/19c00c6b29bc7dbc5e92b3668da2da93.asciidoc

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[source, js]
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----
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const response = await client.simulate.ingest({
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const response = await client.transport.request({
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method: "POST",
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path: "/_ingest/_simulate",
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body: {
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docs: [
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{

‎docs/doc_examples/246763219ec06172f7aa57bba28d344a.asciidoc

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

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