Revision 92f290e9537478f85ff3fe3ab39945c1a49a6c1a authored by David Turner on 20 March 2024, 17:08:42 UTC, committed by GitHub on 20 March 2024, 17:08:42 UTC
We can't assert no leaked blobs here because today the first cleanup leaves the original `RepositoryData` in place so the second cleanup is not a no-op. Relates #100718 Backport of #100855 to 7.17
1 parent ff776e4
build.gradle
import org.elasticsearch.gradle.VersionProperties
import org.elasticsearch.gradle.internal.info.BuildParams
import static org.elasticsearch.gradle.testclusters.TestDistribution.DEFAULT
/*
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
* or more contributor license agreements. Licensed under the Elastic License
* 2.0 and the Server Side Public License, v 1; you may not use this file except
* in compliance with, at your election, the Elastic License 2.0 or the Server
* Side Public License, v 1.
*/
apply plugin: 'elasticsearch.docs-test'
apply plugin: 'elasticsearch.rest-resources'
ext.docsFileTree = fileTree(projectDir) {
include '**/*.asciidoc'
// That is where the snippets go, not where they come from!
exclude 'build/**'
// Just syntax examples
exclude 'README.asciidoc'
// Broken code snippet tests
exclude 'reference/graph/explore.asciidoc'
if (BuildParams.inFipsJvm) {
// We don't install/support this plugin in FIPS 140
exclude 'plugins/ingest-attachment.asciidoc'
// We can't conditionally control output, this would be missing the ingest-attachment plugin
exclude 'reference/cat/plugins.asciidoc'
}
}
/* List of files that have snippets that will not work until platinum tests can occur ... */
tasks.named("buildRestTests").configure {
expectedUnconvertedCandidates = [
'reference/ml/anomaly-detection/ml-configuring-transform.asciidoc',
'reference/ml/anomaly-detection/apis/delete-calendar-event.asciidoc',
'reference/ml/anomaly-detection/apis/get-bucket.asciidoc',
'reference/ml/anomaly-detection/apis/get-category.asciidoc',
'reference/ml/anomaly-detection/apis/get-influencer.asciidoc',
'reference/ml/anomaly-detection/apis/get-job-stats.asciidoc',
'reference/ml/anomaly-detection/apis/get-job.asciidoc',
'reference/ml/anomaly-detection/apis/get-overall-buckets.asciidoc',
'reference/ml/anomaly-detection/apis/get-record.asciidoc',
'reference/ml/anomaly-detection/apis/get-snapshot.asciidoc',
'reference/ml/anomaly-detection/apis/post-data.asciidoc',
'reference/ml/anomaly-detection/apis/revert-snapshot.asciidoc',
'reference/ml/anomaly-detection/apis/update-snapshot.asciidoc',
'reference/ml/anomaly-detection/apis/update-job.asciidoc'
]
}
restResources {
restApi {
include '*'
}
}
testClusters.matching { it.name == "yamlRestTest"}.configureEach {
if (singleNode().testDistribution == DEFAULT) {
setting 'xpack.license.self_generated.type', 'trial'
setting 'indices.lifecycle.history_index_enabled', 'false'
setting 'ingest.geoip.downloader.enabled', 'false'
systemProperty 'es.geoip_v2_feature_flag_enabled', 'true'
keystorePassword 'keystore-password'
}
// debug ccr test failures:
// https://github.com/elastic/elasticsearch/issues/95678
// https://github.com/elastic/elasticsearch/issues/94359
// https://github.com/elastic/elasticsearch/issues/96561
setting 'logger.org.elasticsearch.transport.SniffConnectionStrategy', 'DEBUG'
setting 'logger.org.elasticsearch.transport.RemoteClusterService', 'DEBUG'
// enable regexes in painless so our tests don't complain about example snippets that use them
setting 'script.painless.regex.enabled', 'true'
setting 'xpack.security.enabled', 'false'
setting 'path.repo', "${buildDir}/cluster/shared/repo"
Closure configFile = {
extraConfigFile it, file("src/test/cluster/config/$it")
}
configFile 'analysis/example_word_list.txt'
configFile 'analysis/hyphenation_patterns.xml'
configFile 'analysis/synonym.txt'
configFile 'analysis/stemmer_override.txt'
configFile 'userdict_ja.txt'
configFile 'userdict_ko.txt'
configFile 'KeywordTokenizer.rbbi'
extraConfigFile 'hunspell/en_US/en_US.aff', project(":server").file('src/test/resources/indices/analyze/conf_dir/hunspell/en_US/en_US.aff')
extraConfigFile 'hunspell/en_US/en_US.dic', project(":server").file('src/test/resources/indices/analyze/conf_dir/hunspell/en_US/en_US.dic')
// Whitelist reindexing from the local node so we can test it.
setting 'reindex.remote.whitelist', '127.0.0.1:*'
// TODO: remove this once cname is prepended to transport.publish_address by default in 8.0
systemProperty 'es.transport.cname_in_publish_address', 'true'
// build the cluster with all plugins
project.rootProject.subprojects.findAll { it.parent.path == ':plugins' }.each { subproj ->
/* Skip repositories. We just aren't going to be able to test them so it
* doesn't make sense to waste time installing them.
*/
if (subproj.path.startsWith(':plugins:repository-')) {
return
}
// Do not install ingest-attachment in a FIPS 140 JVM as this is not supported
if (subproj.path.startsWith(':plugins:ingest-attachment') && BuildParams.inFipsJvm) {
return
}
plugin subproj.path
}
}
tasks.named("yamlRestTest").configure {
doFirst {
delete("${buildDir}/cluster/shared/repo")
}
}
tasks.named("buildRestTests").configure {
docs = docsFileTree
}
tasks.named("listSnippets").configure {
docs = docsFileTree
}
tasks.named("listConsoleCandidates").configure {
docs = docsFileTree
}
Closure setupMyIndex = { String name, int count ->
tasks.named("buildRestTests").configure { buildRestTests ->
buildRestTests.setups[name] = '''
- do:
indices.create:
index: my-index-000001
body:
settings:
number_of_shards: 1
number_of_replicas: 1
mappings:
properties:
"@timestamp":
type: date
http:
properties:
request:
properties:
method:
type: keyword
message:
type: text
fields:
keyword:
type: keyword
user:
properties:
id:
type: keyword
doc_values: true
- do:
bulk:
index: my-index-000001
refresh: true
body: |'''
for (int i = 0; i < count; i++) {
String ip, user_id
if (i == 0) {
ip = '127.0.0.1'
user_id = 'kimchy'
} else {
ip = '10.42.42.42'
user_id = 'elkbee'
}
buildRestTests.setups[name] += """
{ "index":{"_id": "$i"} }
{ "@timestamp": "2099-11-15T14:12:12", "http": { "request": { "method": "get" }, "response": { "bytes": 1070000, "status_code": 200 }, "version": "1.1" }, "message": "GET /search HTTP/1.1 200 1070000", "source": { "ip": "$ip" }, "user": { "id": "$user_id" } }"""
}
}
}
setupMyIndex('my_index', 5)
setupMyIndex('my_index_big', 120)
setupMyIndex('my_index_huge', 1200)
tasks.named("buildRestTests").configure {buildRestTests ->
setups['my_data_stream_template'] = '''
- do:
indices.put_index_template:
name: my-data-stream-template
body: |
{
"index_patterns": [ "my-data-stream*" ],
"data_stream": { },
"priority": 500
}
'''
setups['my_data_stream'] = setups['my_data_stream_template'] + '''
- do:
raw:
method: PUT
path: '_data_stream/my-data-stream'
'''
teardowns['data_stream_cleanup'] = '''
- do:
raw:
method: DELETE
path: '_data_stream/*'
- is_true: acknowledged
- do:
raw:
method: DELETE
path: '_index_template/*'
- is_true: acknowledged
'''
// Used for several full-text search and agg examples
buildRestTests.setups['messages'] = '''
- do:
indices.create:
index: my-index-000001
body:
settings:
number_of_shards: 1
number_of_replicas: 1
- do:
bulk:
index: my-index-000001
refresh: true
body: |
{"index":{"_id": "0"}}
{"message": "trying out Elasticsearch", "context": "foo"}
{"index":{"_id": "1"}}
{"message": "some message with the number 1", "context": "bar"}
{"index":{"_id": "2"}}
{"message": "some message with the number 2", "context": "bar"}
{"index":{"_id": "3"}}
{"message": "some message with the number 3", "context": "bar"}
{"index":{"_id": "4"}}
{"message": "some message with the number 4", "context": "bar"}
'''
// Used for EQL
setups['sec_logs'] = setups['my_data_stream'] + '''
- do:
bulk:
index: my-data-stream
refresh: true
body: |
{"create":{}}
{"@timestamp": "2099-12-06T11:04:05.000Z", "event": { "category": "process", "id": "edwCRnyD", "sequence": 1 }, "process": { "pid": 2012, "name": "cmd.exe", "executable": "C:\\\\Windows\\\\System32\\\\cmd.exe" }}
{"create":{}}
{"@timestamp": "2099-12-06T11:04:07.000Z", "event": { "category": "file", "id": "dGCHwoeS", "sequence": 2 }, "file": { "accessed": "2099-12-07T11:07:08.000Z", "name": "cmd.exe", "path": "C:\\\\Windows\\\\System32\\\\cmd.exe", "type": "file", "size": 16384 }, "process": { "pid": 2012, "name": "cmd.exe", "executable": "C:\\\\Windows\\\\System32\\\\cmd.exe" }}
{"create":{}}
{"@timestamp": "2099-12-07T11:06:07.000Z", "event": { "category": "process", "id": "cMyt5SZ2", "sequence": 3 }, "process": { "pid": 2012, "name": "cmd.exe", "executable": "C:\\\\Windows\\\\System32\\\\cmd.exe" } }
{"create":{}}
{"@timestamp": "2099-12-07T11:07:09.000Z", "event": { "category": "process", "id": "aR3NWVOs", "sequence": 4 }, "process": { "pid": 2012, "name": "regsvr32.exe", "command_line": "regsvr32.exe /s /u /i:https://...RegSvr32.sct scrobj.dll", "executable": "C:\\\\Windows\\\\System32\\\\regsvr32.exe" }}
{"create":{}}
{"@timestamp": "2099-12-07T11:07:10.000Z", "event": { "category": "file", "id": "tZ1NWVOs", "sequence": 5 }, "process": { "pid": 2012, "name": "regsvr32.exe", "executable": "C:\\\\Windows\\\\System32\\\\regsvr32.exe" }, "file": { "path": "C:\\\\Windows\\\\System32\\\\scrobj.dll", "name": "scrobj.dll" }}
{"create":{}}
{"@timestamp": "2099-12-07T11:07:10.000Z", "event": { "category": "process", "id": "GTSmSqgz0U", "sequence": 6, "type": "termination" }, "process": { "pid": 2012, "name": "regsvr32.exe", "executable": "C:\\\\Windows\\\\System32\\\\regsvr32.exe" }}'''
buildRestTests.setups['host'] = '''
# Fetch the http host. We use the host of the master because we know there will always be a master.
- do:
cluster.state: {}
- set: { master_node: master }
- do:
nodes.info:
metric: [ http, transport ]
- set: {nodes.$master.http.publish_address: host}
- set: {nodes.$master.transport.publish_address: transport_host}
'''
buildRestTests.setups['node'] = '''
# Fetch the node name. We use the host of the master because we know there will always be a master.
- do:
cluster.state: {}
- is_true: master_node
- set: { master_node: node_name }
'''
// Used by scripted metric docs
buildRestTests.setups['ledger'] = '''
- do:
indices.create:
index: ledger
body:
settings:
number_of_shards: 2
number_of_replicas: 1
mappings:
properties:
type:
type: keyword
amount:
type: double
- do:
bulk:
index: ledger
refresh: true
body: |
{"index":{}}
{"date": "2015/01/01 00:00:00", "amount": 200, "type": "sale", "description": "something"}
{"index":{}}
{"date": "2015/01/01 00:00:00", "amount": 10, "type": "expense", "description": "another thing"}
{"index":{}}
{"date": "2015/01/01 00:00:00", "amount": 150, "type": "sale", "description": "blah"}
{"index":{}}
{"date": "2015/01/01 00:00:00", "amount": 50, "type": "expense", "description": "cost of blah"}
{"index":{}}
{"date": "2015/01/01 00:00:00", "amount": 50, "type": "expense", "description": "advertisement"}'''
// Used by aggregation docs
buildRestTests.setups['sales'] = '''
- do:
indices.create:
index: sales
body:
settings:
number_of_shards: 2
number_of_replicas: 1
mappings:
properties:
type:
type: keyword
- do:
bulk:
index: sales
refresh: true
body: |
{"index":{}}
{"date": "2015/01/01 00:00:00", "price": 200, "promoted": true, "rating": 1, "type": "hat"}
{"index":{}}
{"date": "2015/01/01 00:00:00", "price": 200, "promoted": true, "rating": 1, "type": "t-shirt"}
{"index":{}}
{"date": "2015/01/01 00:00:00", "price": 150, "promoted": true, "rating": 5, "type": "bag"}
{"index":{}}
{"date": "2015/02/01 00:00:00", "price": 50, "promoted": false, "rating": 1, "type": "hat"}
{"index":{}}
{"date": "2015/02/01 00:00:00", "price": 10, "promoted": true, "rating": 4, "type": "t-shirt"}
{"index":{}}
{"date": "2015/03/01 00:00:00", "price": 200, "promoted": true, "rating": 1, "type": "hat"}
{"index":{}}
{"date": "2015/03/01 00:00:00", "price": 175, "promoted": false, "rating": 2, "type": "t-shirt"}'''
// Used by cumulative cardinality aggregation docs
buildRestTests.setups['user_hits'] = '''
- do:
indices.create:
index: user_hits
body:
settings:
number_of_shards: 1
number_of_replicas: 0
mappings:
properties:
user_id:
type: keyword
timestamp:
type: date
- do:
bulk:
index: user_hits
refresh: true
body: |
{"index":{}}
{"timestamp": "2019-01-01T13:00:00", "user_id": "1"}
{"index":{}}
{"timestamp": "2019-01-01T13:00:00", "user_id": "2"}
{"index":{}}
{"timestamp": "2019-01-02T13:00:00", "user_id": "1"}
{"index":{}}
{"timestamp": "2019-01-02T13:00:00", "user_id": "3"}
{"index":{}}
{"timestamp": "2019-01-03T13:00:00", "user_id": "1"}
{"index":{}}
{"timestamp": "2019-01-03T13:00:00", "user_id": "2"}
{"index":{}}
{"timestamp": "2019-01-03T13:00:00", "user_id": "4"}'''
// Used by sampler and diversified-sampler aggregation docs
buildRestTests.setups['stackoverflow'] = '''
- do:
indices.create:
index: stackoverflow
body:
settings:
number_of_shards: 1
number_of_replicas: 1
mappings:
properties:
author:
type: keyword
tags:
type: keyword
- do:
bulk:
index: stackoverflow
refresh: true
body: |'''
// Make Kibana strongly connected to elasticsearch and logstash
// Make Kibana rarer (and therefore higher-ranking) than JavaScript
// Make JavaScript strongly connected to jquery and angular
// Make Cabana strongly connected to elasticsearch but only as a result of a single author
for (int i = 0; i < 150; i++) {
buildRestTests.setups['stackoverflow'] += """
{"index":{}}
{"author": "very_relevant_$i", "tags": ["elasticsearch", "kibana"]}"""
}
for (int i = 0; i < 50; i++) {
buildRestTests.setups['stackoverflow'] += """
{"index":{}}
{"author": "very_relevant_$i", "tags": ["logstash", "kibana"]}"""
}
for (int i = 0; i < 200; i++) {
buildRestTests.setups['stackoverflow'] += """
{"index":{}}
{"author": "partially_relevant_$i", "tags": ["javascript", "jquery"]}"""
}
for (int i = 0; i < 200; i++) {
buildRestTests.setups['stackoverflow'] += """
{"index":{}}
{"author": "partially_relevant_$i", "tags": ["javascript", "angular"]}"""
}
for (int i = 0; i < 50; i++) {
buildRestTests.setups['stackoverflow'] += """
{"index":{}}
{"author": "noisy author", "tags": ["elasticsearch", "cabana"]}"""
}
buildRestTests.setups['stackoverflow'] += """
"""
// Used by significant_text aggregation docs
buildRestTests.setups['news'] = '''
- do:
indices.create:
index: news
body:
settings:
number_of_shards: 1
number_of_replicas: 1
mappings:
properties:
source:
type: keyword
content:
type: text
copy_to: custom_all
custom_all:
type: text
- do:
bulk:
index: news
refresh: true
body: |'''
// Make h5n1 strongly connected to bird flu
for (int i = 0; i < 100; i++) {
buildRestTests.setups['news'] += """
{"index":{}}
{"source": "very_relevant_$i", "content": "bird flu h5n1"}"""
}
for (int i = 0; i < 100; i++) {
buildRestTests.setups['news'] += """
{"index":{}}
{"source": "filler_$i", "content": "bird dupFiller "}"""
}
for (int i = 0; i < 100; i++) {
buildRestTests.setups['news'] += """
{"index":{}}
{"source": "filler_$i", "content": "flu dupFiller "}"""
}
for (int i = 0; i < 20; i++) {
buildRestTests.setups['news'] += """
{"index":{}}
{"source": "partially_relevant_$i", "content": "elasticsearch dupFiller dupFiller dupFiller dupFiller pozmantier"}"""
}
for (int i = 0; i < 10; i++) {
buildRestTests.setups['news'] += """
{"index":{}}
{"source": "partially_relevant_$i", "content": "elasticsearch logstash kibana"}"""
}
buildRestTests.setups['news'] += """
"""
// Used by some aggregations
buildRestTests.setups['exams'] = '''
- do:
indices.create:
index: exams
body:
settings:
number_of_shards: 1
number_of_replicas: 1
mappings:
properties:
grade:
type: byte
- do:
bulk:
index: exams
refresh: true
body: |
{"index":{}}
{"grade": 100, "weight": 2}
{"index":{}}
{"grade": 50, "weight": 3}'''
buildRestTests.setups['stored_scripted_metric_script'] = '''
- do:
put_script:
id: "my_init_script"
body: { "script": { "lang": "painless", "source": "state.transactions = []" } }
- match: { acknowledged: true }
- do:
put_script:
id: "my_map_script"
body: { "script": { "lang": "painless", "source": "state.transactions.add(doc.type.value == 'sale' ? doc.amount.value : -1 * doc.amount.value)" } }
- match: { acknowledged: true }
- do:
put_script:
id: "my_combine_script"
body: { "script": { "lang": "painless", "source": "double profit = 0;for (t in state.transactions) { profit += t; } return profit" } }
- match: { acknowledged: true }
- do:
put_script:
id: "my_reduce_script"
body: { "script": { "lang": "painless", "source": "double profit = 0;for (a in states) { profit += a; } return profit" } }
- match: { acknowledged: true }
'''
// Used by analyze api
buildRestTests.setups['analyze_sample'] = '''
- do:
indices.create:
index: analyze_sample
body:
settings:
number_of_shards: 1
number_of_replicas: 0
analysis:
normalizer:
my_normalizer:
type: custom
filter: [lowercase]
mappings:
properties:
obj1.field1:
type: text'''
// Used by percentile/percentile-rank aggregations
buildRestTests.setups['latency'] = '''
- do:
indices.create:
index: latency
body:
settings:
number_of_shards: 1
number_of_replicas: 1
mappings:
properties:
load_time:
type: long
- do:
bulk:
index: latency
refresh: true
body: |'''
for (int i = 0; i < 100; i++) {
def value = i
if (i % 10) {
value = i * 10
}
buildRestTests.setups['latency'] += """
{"index":{}}
{"load_time": "$value"}"""
}
// Used by t_test aggregations
buildRestTests.setups['node_upgrade'] = '''
- do:
indices.create:
index: node_upgrade
body:
settings:
number_of_shards: 1
number_of_replicas: 1
mappings:
properties:
group:
type: keyword
startup_time_before:
type: long
startup_time_after:
type: long
- do:
bulk:
index: node_upgrade
refresh: true
body: |
{"index":{}}
{"group": "A", "startup_time_before": 102, "startup_time_after": 89}
{"index":{}}
{"group": "A", "startup_time_before": 99, "startup_time_after": 93}
{"index":{}}
{"group": "A", "startup_time_before": 111, "startup_time_after": 72}
{"index":{}}
{"group": "B", "startup_time_before": 97, "startup_time_after": 98}
{"index":{}}
{"group": "B", "startup_time_before": 101, "startup_time_after": 102}
{"index":{}}
{"group": "B", "startup_time_before": 99, "startup_time_after": 98}'''
// Used by iprange agg
buildRestTests.setups['iprange'] = '''
- do:
indices.create:
index: ip_addresses
body:
settings:
number_of_shards: 1
number_of_replicas: 1
mappings:
properties:
ip:
type: ip
- do:
bulk:
index: ip_addresses
refresh: true
body: |'''
for (int i = 0; i < 255; i++) {
buildRestTests.setups['iprange'] += """
{"index":{}}
{"ip": "10.0.0.$i"}"""
}
for (int i = 0; i < 5; i++) {
buildRestTests.setups['iprange'] += """
{"index":{}}
{"ip": "9.0.0.$i"}"""
buildRestTests.setups['iprange'] += """
{"index":{}}
{"ip": "11.0.0.$i"}"""
buildRestTests.setups['iprange'] += """
{"index":{}}
{"ip": "12.0.0.$i"}"""
}
// Used by SQL because it looks SQL-ish
buildRestTests.setups['library'] = '''
- do:
indices.create:
include_type_name: true
index: library
body:
settings:
number_of_shards: 1
number_of_replicas: 1
mappings:
book:
properties:
name:
type: text
fields:
keyword:
type: keyword
author:
type: text
fields:
keyword:
type: keyword
release_date:
type: date
page_count:
type: short
- do:
bulk:
index: library
type: book
refresh: true
body: |
{"index":{"_id": "Leviathan Wakes"}}
{"name": "Leviathan Wakes", "author": "James S.A. Corey", "release_date": "2011-06-02", "page_count": 561}
{"index":{"_id": "Hyperion"}}
{"name": "Hyperion", "author": "Dan Simmons", "release_date": "1989-05-26", "page_count": 482}
{"index":{"_id": "Dune"}}
{"name": "Dune", "author": "Frank Herbert", "release_date": "1965-06-01", "page_count": 604}
{"index":{"_id": "Dune Messiah"}}
{"name": "Dune Messiah", "author": "Frank Herbert", "release_date": "1969-10-15", "page_count": 331}
{"index":{"_id": "Children of Dune"}}
{"name": "Children of Dune", "author": "Frank Herbert", "release_date": "1976-04-21", "page_count": 408}
{"index":{"_id": "God Emperor of Dune"}}
{"name": "God Emperor of Dune", "author": "Frank Herbert", "release_date": "1981-05-28", "page_count": 454}
{"index":{"_id": "Consider Phlebas"}}
{"name": "Consider Phlebas", "author": "Iain M. Banks", "release_date": "1987-04-23", "page_count": 471}
{"index":{"_id": "Pandora's Star"}}
{"name": "Pandora's Star", "author": "Peter F. Hamilton", "release_date": "2004-03-02", "page_count": 768}
{"index":{"_id": "Revelation Space"}}
{"name": "Revelation Space", "author": "Alastair Reynolds", "release_date": "2000-03-15", "page_count": 585}
{"index":{"_id": "A Fire Upon the Deep"}}
{"name": "A Fire Upon the Deep", "author": "Vernor Vinge", "release_date": "1992-06-01", "page_count": 613}
{"index":{"_id": "Ender's Game"}}
{"name": "Ender's Game", "author": "Orson Scott Card", "release_date": "1985-06-01", "page_count": 324}
{"index":{"_id": "1984"}}
{"name": "1984", "author": "George Orwell", "release_date": "1985-06-01", "page_count": 328}
{"index":{"_id": "Fahrenheit 451"}}
{"name": "Fahrenheit 451", "author": "Ray Bradbury", "release_date": "1953-10-15", "page_count": 227}
{"index":{"_id": "Brave New World"}}
{"name": "Brave New World", "author": "Aldous Huxley", "release_date": "1932-06-01", "page_count": 268}
{"index":{"_id": "Foundation"}}
{"name": "Foundation", "author": "Isaac Asimov", "release_date": "1951-06-01", "page_count": 224}
{"index":{"_id": "The Giver"}}
{"name": "The Giver", "author": "Lois Lowry", "release_date": "1993-04-26", "page_count": 208}
{"index":{"_id": "Slaughterhouse-Five"}}
{"name": "Slaughterhouse-Five", "author": "Kurt Vonnegut", "release_date": "1969-06-01", "page_count": 275}
{"index":{"_id": "The Hitchhiker's Guide to the Galaxy"}}
{"name": "The Hitchhiker's Guide to the Galaxy", "author": "Douglas Adams", "release_date": "1979-10-12", "page_count": 180}
{"index":{"_id": "Snow Crash"}}
{"name": "Snow Crash", "author": "Neal Stephenson", "release_date": "1992-06-01", "page_count": 470}
{"index":{"_id": "Neuromancer"}}
{"name": "Neuromancer", "author": "William Gibson", "release_date": "1984-07-01", "page_count": 271}
{"index":{"_id": "The Handmaid's Tale"}}
{"name": "The Handmaid's Tale", "author": "Margaret Atwood", "release_date": "1985-06-01", "page_count": 311}
{"index":{"_id": "Starship Troopers"}}
{"name": "Starship Troopers", "author": "Robert A. Heinlein", "release_date": "1959-12-01", "page_count": 335}
{"index":{"_id": "The Left Hand of Darkness"}}
{"name": "The Left Hand of Darkness", "author": "Ursula K. Le Guin", "release_date": "1969-06-01", "page_count": 304}
{"index":{"_id": "The Moon is a Harsh Mistress"}}
{"name": "The Moon is a Harsh Mistress", "author": "Robert A. Heinlein", "release_date": "1966-04-01", "page_count": 288}
'''
buildRestTests.setups['sensor_rollup_job'] = '''
- do:
indices.create:
index: sensor-1
body:
settings:
number_of_shards: 1
number_of_replicas: 0
mappings:
properties:
timestamp:
type: date
temperature:
type: long
voltage:
type: float
node:
type: keyword
- do:
raw:
method: PUT
path: _rollup/job/sensor
body: >
{
"index_pattern": "sensor-*",
"rollup_index": "sensor_rollup",
"cron": "*/30 * * * * ?",
"page_size" :1000,
"groups" : {
"date_histogram": {
"field": "timestamp",
"fixed_interval": "1h",
"delay": "7d"
},
"terms": {
"fields": ["node"]
}
},
"metrics": [
{
"field": "temperature",
"metrics": ["min", "max", "sum"]
},
{
"field": "voltage",
"metrics": ["avg"]
}
]
}
'''
buildRestTests.setups['sensor_started_rollup_job'] = '''
- do:
indices.create:
index: sensor-1
body:
settings:
number_of_shards: 1
number_of_replicas: 0
mappings:
properties:
timestamp:
type: date
temperature:
type: long
voltage:
type: float
node:
type: keyword
- do:
bulk:
index: sensor-1
refresh: true
body: |
{"index":{}}
{"timestamp": 1516729294000, "temperature": 200, "voltage": 5.2, "node": "a"}
{"index":{}}
{"timestamp": 1516642894000, "temperature": 201, "voltage": 5.8, "node": "b"}
{"index":{}}
{"timestamp": 1516556494000, "temperature": 202, "voltage": 5.1, "node": "a"}
{"index":{}}
{"timestamp": 1516470094000, "temperature": 198, "voltage": 5.6, "node": "b"}
{"index":{}}
{"timestamp": 1516383694000, "temperature": 200, "voltage": 4.2, "node": "c"}
{"index":{}}
{"timestamp": 1516297294000, "temperature": 202, "voltage": 4.0, "node": "c"}
- do:
raw:
method: PUT
path: _rollup/job/sensor
body: >
{
"index_pattern": "sensor-*",
"rollup_index": "sensor_rollup",
"cron": "* * * * * ?",
"page_size" :1000,
"groups" : {
"date_histogram": {
"field": "timestamp",
"fixed_interval": "1h",
"delay": "7d"
},
"terms": {
"fields": ["node"]
}
},
"metrics": [
{
"field": "temperature",
"metrics": ["min", "max", "sum"]
},
{
"field": "voltage",
"metrics": ["avg"]
}
]
}
- do:
raw:
method: POST
path: _rollup/job/sensor/_start
'''
buildRestTests.setups['sensor_index'] = '''
- do:
indices.create:
index: sensor-1
body:
settings:
number_of_shards: 1
number_of_replicas: 0
mappings:
properties:
timestamp:
type: date
temperature:
type: long
voltage:
type: float
node:
type: keyword
load:
type: double
net_in:
type: long
net_out:
type: long
hostname:
type: keyword
datacenter:
type: keyword
'''
buildRestTests.setups['sensor_prefab_data'] = '''
- do:
indices.create:
index: sensor-1
body:
settings:
number_of_shards: 1
number_of_replicas: 0
mappings:
properties:
timestamp:
type: date
temperature:
type: long
voltage:
type: float
node:
type: keyword
- do:
indices.create:
index: sensor_rollup
body:
settings:
number_of_shards: 1
number_of_replicas: 0
mappings:
properties:
node.terms.value:
type: keyword
temperature.sum.value:
type: double
temperature.max.value:
type: double
temperature.min.value:
type: double
timestamp.date_histogram.time_zone:
type: keyword
timestamp.date_histogram.interval:
type: keyword
timestamp.date_histogram.timestamp:
type: date
timestamp.date_histogram._count:
type: long
voltage.avg.value:
type: double
voltage.avg._count:
type: long
_rollup.id:
type: keyword
_rollup.version:
type: long
_meta:
_rollup:
sensor:
cron: "* * * * * ?"
rollup_index: "sensor_rollup"
index_pattern: "sensor-*"
timeout: "20s"
page_size: 1000
groups:
date_histogram:
delay: "7d"
field: "timestamp"
fixed_interval: "60m"
time_zone: "UTC"
terms:
fields:
- "node"
id: sensor
metrics:
- field: "temperature"
metrics:
- min
- max
- sum
- field: "voltage"
metrics:
- avg
- do:
bulk:
index: sensor_rollup
refresh: true
body: |
{"index":{}}
{"node.terms.value":"b","temperature.sum.value":201.0,"temperature.max.value":201.0,"timestamp.date_histogram.time_zone":"UTC","temperature.min.value":201.0,"timestamp.date_histogram._count":1,"timestamp.date_histogram.interval":"1h","_rollup.computed":["temperature.sum","temperature.min","voltage.avg","temperature.max","node.terms","timestamp.date_histogram"],"voltage.avg.value":5.800000190734863,"node.terms._count":1,"_rollup.version":1,"timestamp.date_histogram.timestamp":1516640400000,"voltage.avg._count":1.0,"_rollup.id":"sensor"}
{"index":{}}
{"node.terms.value":"c","temperature.sum.value":200.0,"temperature.max.value":200.0,"timestamp.date_histogram.time_zone":"UTC","temperature.min.value":200.0,"timestamp.date_histogram._count":1,"timestamp.date_histogram.interval":"1h","_rollup.computed":["temperature.sum","temperature.min","voltage.avg","temperature.max","node.terms","timestamp.date_histogram"],"voltage.avg.value":4.199999809265137,"node.terms._count":1,"_rollup.version":1,"timestamp.date_histogram.timestamp":1516381200000,"voltage.avg._count":1.0,"_rollup.id":"sensor"}
{"index":{}}
{"node.terms.value":"a","temperature.sum.value":202.0,"temperature.max.value":202.0,"timestamp.date_histogram.time_zone":"UTC","temperature.min.value":202.0,"timestamp.date_histogram._count":1,"timestamp.date_histogram.interval":"1h","_rollup.computed":["temperature.sum","temperature.min","voltage.avg","temperature.max","node.terms","timestamp.date_histogram"],"voltage.avg.value":5.099999904632568,"node.terms._count":1,"_rollup.version":1,"timestamp.date_histogram.timestamp":1516554000000,"voltage.avg._count":1.0,"_rollup.id":"sensor"}
{"index":{}}
{"node.terms.value":"a","temperature.sum.value":200.0,"temperature.max.value":200.0,"timestamp.date_histogram.time_zone":"UTC","temperature.min.value":200.0,"timestamp.date_histogram._count":1,"timestamp.date_histogram.interval":"1h","_rollup.computed":["temperature.sum","temperature.min","voltage.avg","temperature.max","node.terms","timestamp.date_histogram"],"voltage.avg.value":5.199999809265137,"node.terms._count":1,"_rollup.version":1,"timestamp.date_histogram.timestamp":1516726800000,"voltage.avg._count":1.0,"_rollup.id":"sensor"}
{"index":{}}
{"node.terms.value":"b","temperature.sum.value":198.0,"temperature.max.value":198.0,"timestamp.date_histogram.time_zone":"UTC","temperature.min.value":198.0,"timestamp.date_histogram._count":1,"timestamp.date_histogram.interval":"1h","_rollup.computed":["temperature.sum","temperature.min","voltage.avg","temperature.max","node.terms","timestamp.date_histogram"],"voltage.avg.value":5.599999904632568,"node.terms._count":1,"_rollup.version":1,"timestamp.date_histogram.timestamp":1516467600000,"voltage.avg._count":1.0,"_rollup.id":"sensor"}
{"index":{}}
{"node.terms.value":"c","temperature.sum.value":202.0,"temperature.max.value":202.0,"timestamp.date_histogram.time_zone":"UTC","temperature.min.value":202.0,"timestamp.date_histogram._count":1,"timestamp.date_histogram.interval":"1h","_rollup.computed":["temperature.sum","temperature.min","voltage.avg","temperature.max","node.terms","timestamp.date_histogram"],"voltage.avg.value":4.0,"node.terms._count":1,"_rollup.version":1,"timestamp.date_histogram.timestamp":1516294800000,"voltage.avg._count":1.0,"_rollup.id":"sensor"}
'''
buildRestTests.setups['sample_job'] = '''
- do:
ml.put_job:
job_id: "sample_job"
body: >
{
"description" : "Very basic job",
"analysis_config" : {
"bucket_span":"10m",
"detectors" :[
{
"function": "count"
}
]},
"data_description" : {
"time_field":"timestamp",
"time_format": "epoch_ms"
}
}
'''
buildRestTests.setups['farequote_index'] = '''
- do:
indices.create:
index: farequote
body:
settings:
number_of_shards: 1
number_of_replicas: 0
mappings:
metric:
properties:
time:
type: date
responsetime:
type: float
airline:
type: keyword
doc_count:
type: integer
'''
buildRestTests.setups['farequote_data'] = buildRestTests.setups['farequote_index'] + '''
- do:
bulk:
index: farequote
type: metric
refresh: true
body: |
{"index": {"_id":"1"}}
{"airline":"JZA","responsetime":990.4628,"time":"2016-02-07T00:00:00+0000", "doc_count": 5}
{"index": {"_id":"2"}}
{"airline":"JBU","responsetime":877.5927,"time":"2016-02-07T00:00:00+0000", "doc_count": 23}
{"index": {"_id":"3"}}
{"airline":"KLM","responsetime":1355.4812,"time":"2016-02-07T00:00:00+0000", "doc_count": 42}
'''
buildRestTests.setups['farequote_job'] = buildRestTests.setups['farequote_data'] + '''
- do:
ml.put_job:
job_id: "farequote"
body: >
{
"analysis_config": {
"bucket_span": "60m",
"detectors": [{
"function": "mean",
"field_name": "responsetime",
"by_field_name": "airline"
}],
"summary_count_field_name": "doc_count"
},
"data_description": {
"time_field": "time"
}
}
'''
buildRestTests.setups['farequote_datafeed'] = buildRestTests.setups['farequote_job'] + '''
- do:
ml.put_datafeed:
datafeed_id: "datafeed-farequote"
body: >
{
"job_id":"farequote",
"indexes":"farequote"
}
'''
buildRestTests.setups['categorize_text'] = '''
- do:
indices.create:
index: log-messages
body:
settings:
number_of_shards: 1
number_of_replicas: 0
mappings:
properties:
time:
type: date
message:
type: text
- do:
bulk:
index: log-messages
refresh: true
body: |
{"index": {"_id":"1"}}
{"time":"2016-02-07T00:01:00+0000", "message": "2016-02-07T00:00:00+0000 Node 3 shutting down"}
{"index": {"_id":"2"}}
{"time":"2016-02-07T00:02:00+0000", "message": "2016-02-07T00:00:00+0000 Node 5 starting up"}
{"index": {"_id":"3"}}
{"time":"2016-02-07T00:03:00+0000", "message": "2016-02-07T00:00:00+0000 Node 4 shutting down"}
{"index": {"_id":"4"}}
{"time":"2016-02-08T00:01:00+0000", "message": "2016-02-08T00:00:00+0000 Node 5 shutting down"}
{"index": {"_id":"5"}}
{"time":"2016-02-08T00:02:00+0000", "message": "2016-02-08T00:00:00+0000 User foo_325 logging on"}
{"index": {"_id":"6"}}
{"time":"2016-02-08T00:04:00+0000", "message": "2016-02-08T00:00:00+0000 User foo_864 logged off"}
'''
buildRestTests.setups['server_metrics_index'] = '''
- do:
indices.create:
index: server-metrics
body:
settings:
number_of_shards: 1
number_of_replicas: 0
mappings:
properties:
timestamp:
type: date
total:
type: long
'''
buildRestTests.setups['server_metrics_data'] = buildRestTests.setups['server_metrics_index'] + '''
- do:
bulk:
index: server-metrics
type: metric
refresh: true
body: |
{"index": {"_id":"1177"}}
{"timestamp":"2017-03-23T13:00:00","total":40476}
{"index": {"_id":"1178"}}
{"timestamp":"2017-03-23T13:00:00","total":15287}
{"index": {"_id":"1179"}}
{"timestamp":"2017-03-23T13:00:00","total":-776}
{"index": {"_id":"1180"}}
{"timestamp":"2017-03-23T13:00:00","total":11366}
{"index": {"_id":"1181"}}
{"timestamp":"2017-03-23T13:00:00","total":3606}
{"index": {"_id":"1182"}}
{"timestamp":"2017-03-23T13:00:00","total":19006}
{"index": {"_id":"1183"}}
{"timestamp":"2017-03-23T13:00:00","total":38613}
{"index": {"_id":"1184"}}
{"timestamp":"2017-03-23T13:00:00","total":19516}
{"index": {"_id":"1185"}}
{"timestamp":"2017-03-23T13:00:00","total":-258}
{"index": {"_id":"1186"}}
{"timestamp":"2017-03-23T13:00:00","total":9551}
{"index": {"_id":"1187"}}
{"timestamp":"2017-03-23T13:00:00","total":11217}
{"index": {"_id":"1188"}}
{"timestamp":"2017-03-23T13:00:00","total":22557}
{"index": {"_id":"1189"}}
{"timestamp":"2017-03-23T13:00:00","total":40508}
{"index": {"_id":"1190"}}
{"timestamp":"2017-03-23T13:00:00","total":11887}
{"index": {"_id":"1191"}}
{"timestamp":"2017-03-23T13:00:00","total":31659}
'''
buildRestTests.setups['server_metrics_job'] = buildRestTests.setups['server_metrics_data'] + '''
- do:
ml.put_job:
job_id: "total-requests"
body: >
{
"description" : "Total sum of requests",
"analysis_config" : {
"bucket_span":"10m",
"detectors" :[
{
"detector_description": "Sum of total",
"function": "sum",
"field_name": "total"
}
]},
"data_description" : {
"time_field":"timestamp",
"time_format": "epoch_ms"
}
}
'''
buildRestTests.setups['server_metrics_job-raw'] = buildRestTests.setups['server_metrics_data'] + '''
- do:
raw:
method: PUT
path: _ml/anomaly_detectors/total-requests
body: >
{
"description" : "Total sum of requests",
"analysis_config" : {
"bucket_span":"10m",
"detectors" :[
{
"detector_description": "Sum of total",
"function": "sum",
"field_name": "total"
}
]},
"data_description" : {
"time_field":"timestamp",
"time_format": "epoch_ms"
}
}
'''
buildRestTests.setups['server_metrics_datafeed'] = buildRestTests.setups['server_metrics_job'] + '''
- do:
ml.put_datafeed:
datafeed_id: "datafeed-total-requests"
body: >
{
"job_id":"total-requests",
"indexes":"server-metrics"
}
'''
buildRestTests.setups['server_metrics_datafeed-raw'] = buildRestTests.setups['server_metrics_job-raw'] + '''
- do:
raw:
method: PUT
path: _ml/datafeeds/datafeed-total-requests
body: >
{
"job_id":"total-requests",
"indexes":"server-metrics"
}
'''
buildRestTests.setups['server_metrics_openjob'] = buildRestTests.setups['server_metrics_datafeed'] + '''
- do:
ml.open_job:
job_id: "total-requests"
'''
buildRestTests.setups['server_metrics_openjob-raw'] = buildRestTests.setups['server_metrics_datafeed-raw'] + '''
- do:
raw:
method: POST
path: _ml/anomaly_detectors/total-requests/_open
'''
buildRestTests.setups['server_metrics_startdf'] = buildRestTests.setups['server_metrics_openjob'] + '''
- do:
ml.start_datafeed:
datafeed_id: "datafeed-total-requests"
'''
buildRestTests.setups['calendar_outages'] = '''
- do:
ml.put_calendar:
calendar_id: "planned-outages"
'''
buildRestTests.setups['calendar_outages_addevent'] = buildRestTests.setups['calendar_outages'] + '''
- do:
ml.post_calendar_events:
calendar_id: "planned-outages"
body: >
{ "description": "event 1", "start_time": "2017-12-01T00:00:00Z", "end_time": "2017-12-02T00:00:00Z", "calendar_id": "planned-outages" }
'''
buildRestTests.setups['calendar_outages_openjob'] = buildRestTests.setups['server_metrics_openjob'] + '''
- do:
ml.put_calendar:
calendar_id: "planned-outages"
'''
buildRestTests.setups['calendar_outages_addjob'] = buildRestTests.setups['server_metrics_openjob'] + '''
- do:
ml.put_calendar:
calendar_id: "planned-outages"
body: >
{
"job_ids": ["total-requests"]
}
'''
setups['calendar_outages_addevent'] = setups['calendar_outages_addjob'] + '''
- do:
ml.post_calendar_events:
calendar_id: "planned-outages"
body: >
{ "events" : [
{ "description": "event 1", "start_time": "1513641600000", "end_time": "1513728000000"},
{ "description": "event 2", "start_time": "1513814400000", "end_time": "1513900800000"},
{ "description": "event 3", "start_time": "1514160000000", "end_time": "1514246400000"}
]}
'''
// used by median absolute deviation aggregation
setups['reviews'] = '''
- do:
indices.create:
index: reviews
body:
settings:
number_of_shards: 1
number_of_replicas: 0
mappings:
properties:
product:
type: keyword
rating:
type: long
- do:
bulk:
index: reviews
refresh: true
body: |
{"index": {"_id": "1"}}
{"product": "widget-foo", "rating": 1}
{"index": {"_id": "2"}}
{"product": "widget-foo", "rating": 5}
'''
setups['remote_cluster'] = setups['host'] + '''
- do:
cluster.put_settings:
body:
persistent:
cluster.remote.remote_cluster.seeds: $transport_host
'''
setups['remote_cluster_and_leader_index'] = setups['remote_cluster'] + '''
- do:
indices.create:
index: leader_index
body:
settings:
index.number_of_replicas: 0
index.number_of_shards: 1
index.soft_deletes.enabled: true
'''
setups['remote_cluster_and_leader_index_and_follower_index'] = setups['remote_cluster_and_leader_index'] + '''
- do:
raw:
method: PUT
path: 'follower_index/_ccr/follow'
wait_for_active_shards: 1
body: |
{
"remote_cluster" : "remote_cluster",
"leader_index" : "leader_index"
}
- is_true: follow_index_created
- is_true: follow_index_shards_acked
- is_true: index_following_started
'''
teardowns['pause_follow'] = '''
- do:
raw:
method: POST
path: 'follower_index/_ccr/pause_follow'
- is_true: acknowledged
'''
setups['seats'] = '''
- do:
indices.create:
index: seats
body:
settings:
number_of_shards: 1
number_of_replicas: 0
mappings:
properties:
theatre:
type: keyword
play:
type: keyword
actors:
type: keyword
date:
type: keyword
time:
type: keyword
cost:
type: long
row:
type: long
number:
type: long
sold:
type: boolean
datetime:
type: date
- do:
raw:
method: PUT
path: "_ingest/pipeline/seats"
body: |
{
"description": "update datetime for seats",
"processors": [
{
"script": {
"source": "String[] dateSplit = ctx.date.splitOnToken('-'); String year = dateSplit[0].trim(); String month = dateSplit[1].trim(); if (month.length() == 1) { month = '0' + month; } String day = dateSplit[2].trim(); if (day.length() == 1) { day = '0' + day; } boolean pm = ctx.time.substring(ctx.time.length() - 2).equals('PM'); String[] timeSplit = ctx.time.substring(0, ctx.time.length() - 2).splitOnToken(':'); int hours = Integer.parseInt(timeSplit[0].trim()); int minutes = Integer.parseInt(timeSplit[1].trim()); if (pm) { hours += 12; } String dts = year + '-' + month + '-' + day + 'T' + (hours < 10 ? '0' + hours : '' + hours) + ':' + (minutes < 10 ? '0' + minutes : '' + minutes) + ':00+08:00'; ZonedDateTime dt = ZonedDateTime.parse(dts, DateTimeFormatter.ISO_OFFSET_DATE_TIME); ctx.datetime = dt.getLong(ChronoField.INSTANT_SECONDS)*1000L;"
}
}
]
}
- do:
bulk:
index: seats
pipeline: seats
refresh: true
body: |
{"index":{"_id": "1"}}
{"theatre": "Skyline", "play": "Rent", "actors": ["James Holland", "Krissy Smith", "Joe Muir", "Ryan Earns"], "date": "2021-4-1", "time": "3:00PM", "cost": 37, "row": 1, "number": 7, "sold": false}
{"index":{"_id": "2"}}
{"theatre": "Graye", "play": "Rent", "actors": ["Dave Christmas"], "date": "2021-4-1", "time": "3:00PM", "cost": 30, "row": 3, "number": 5, "sold": false}
{"index":{"_id": "3"}}
{"theatre": "Graye", "play": "Rented", "actors": ["Dave Christmas"], "date": "2021-4-1", "time": "3:00PM", "cost": 33, "row": 2, "number": 6, "sold": false}
{"index":{"_id": "4"}}
{"theatre": "Skyline", "play": "Rented", "actors": ["James Holland", "Krissy Smith", "Joe Muir", "Ryan Earns"], "date": "2021-4-1", "time": "3:00PM", "cost": 20, "row": 5, "number": 2, "sold": false}
{"index":{"_id": "5"}}
{"theatre": "Down Port", "play": "Pick It Up", "actors": ["Joel Madigan", "Jessica Brown", "Baz Knight", "Jo Hangum", "Rachel Grass", "Phoebe Miller"], "date": "2018-4-2", "time": "8:00PM", "cost": 27.5, "row": 3, "number": 2, "sold": false}
{"index":{"_id": "6"}}
{"theatre": "Down Port", "play": "Harriot", "actors": ["Phoebe Miller", "Sarah Notch", "Brayden Green", "Joshua Iller", "Jon Hittle", "Rob Kettleman", "Laura Conrad", "Simon Hower", "Nora Blue", "Mike Candlestick", "Jacey Bell"], "date": "2018-8-7", "time": "8:00PM", "cost": 30.0, "row": 1, "number": 10, "sold": false}
{"index":{"_id": "7"}}
{"theatre": "Skyline", "play": "Auntie Jo", "actors": ["Jo Hangum", "Jon Hittle", "Rob Kettleman", "Laura Conrad", "Simon Hower", "Nora Blue"], "date": "2018-10-2", "time": "5:40PM", "cost": 22.5, "row": 7, "number": 10, "sold": false}
{"index":{"_id": "8"}}
{"theatre": "Skyline", "play": "Test Run", "actors": ["Joe Muir", "Ryan Earns", "Joel Madigan", "Jessica Brown"], "date": "2018-8-5", "time": "7:30PM", "cost": 17.5, "row": 11, "number": 12, "sold": true}
{"index":{"_id": "9"}}
{"theatre": "Skyline", "play": "Sunnyside Down", "actors": ["Krissy Smith", "Joe Muir", "Ryan Earns", "Nora Blue", "Mike Candlestick", "Jacey Bell"], "date": "2018-6-12", "time": "4:00PM", "cost": 21.25, "row": 8, "number": 15, "sold": true}
{"index":{"_id": "10"}}
{"theatre": "Graye", "play": "Line and Single", "actors": ["Nora Blue", "Mike Candlestick"], "date": "2018-6-5", "time": "2:00PM", "cost": 30.0, "row": 1, "number": 2, "sold": false}
{"index":{"_id":"11"}}
{"theatre": "Graye", "play": "Hamilton", "actors": ["Lin-Manuel Miranda", "Leslie Odom Jr."] ,"date":"2018-6-5", "time": "2:00PM", "cost": 5000.0, "row":1, "number": 20, "sold": true}
'''
setups['kibana_sample_data_ecommerce'] = '''
- do:
indices.create:
index: kibana_sample_data_ecommerce
body:
settings:
number_of_shards: 1
number_of_replicas: 0
mappings:
properties:
order_date:
type: date
'''
setups['add_timestamp_pipeline'] = '''
- do:
ingest.put_pipeline:
id: "add_timestamp_pipeline"
body: >
{
"processors": [
{
"set" : {
"field" : "@timestamp",
"value" : "{{_ingest.timestamp}}"
}
}
]
}
'''
setups['simple_kibana_continuous_pivot'] = setups['kibana_sample_data_ecommerce'] + setups['add_timestamp_pipeline'] + '''
- do:
raw:
method: PUT
path: _transform/simple-kibana-ecomm-pivot
body: >
{
"source": {
"index": "kibana_sample_data_ecommerce",
"query": {
"term": {
"geoip.continent_name": {
"value": "Asia"
}
}
}
},
"pivot": {
"group_by": {
"customer_id": {
"terms": {
"field": "customer_id"
}
}
},
"aggregations": {
"max_price": {
"max": {
"field": "taxful_total_price"
}
}
}
},
"description": "Maximum priced ecommerce data",
"dest": {
"index": "kibana_sample_data_ecommerce_transform",
"pipeline": "add_timestamp_pipeline"
},
"frequency": "5m",
"sync": {
"time": {
"field": "order_date",
"delay": "60s"
}
}
}
'''
setups['setup_logdata'] = '''
- do:
indices.create:
index: logdata
body:
settings:
number_of_shards: 1
number_of_replicas: 1
mappings:
properties:
grade:
type: byte
- do:
bulk:
index: logdata
refresh: true
body: |
{"index":{}}
{"grade": 100, "weight": 2}
{"index":{}}
{"grade": 50, "weight": 3}
'''
setups['logdata_job'] = setups['setup_logdata'] + '''
- do:
ml.put_data_frame_analytics:
id: "loganalytics"
body: >
{
"source": {
"index": "logdata"
},
"dest": {
"index": "logdata_out"
},
"analysis": {
"outlier_detection": {}
}
}
'''
// Used by snapshot lifecycle management docs
setups['setup-repository'] = '''
- do:
snapshot.create_repository:
repository: my_repository
body:
type: fs
settings:
location: buildDir/cluster/shared/repo
'''
// Used by snapshot restore docs
setups['setup-snapshots'] = setups['setup-repository'] + '''
- do:
bulk:
index: my-index
refresh: true
body: |
{"index":{"_id": "0"}}
{"message": "trying out Elasticsearch", "context": "foo"}
- do:
bulk:
index: logs-my_app-default
refresh: true
body: |
{"create":{"_id": "0"}}
{"message": "trying out Elasticsearch", "context": "foo"}
- do:
snapshot.create:
repository: my_repository
snapshot: my_snapshot_2099.05.06
wait_for_completion: true
'''
// Fake sec logs data used by EQL search
setups['atomic_red_regsvr32'] = setups['my_data_stream'] + '''
- do:
bulk:
index: my-data-stream
refresh: true
body: |
#atomic_red_data#
'''
// fake data used by the correlation bucket agg
buildRestTests.setups['correlate_latency'] = '''
- do:
indices.create:
index: correlate_latency
body:
settings:
number_of_shards: 1
number_of_replicas: 0
mappings:
properties:
latency:
type: double
version:
type: keyword
- do:
bulk:
index: correlate_latency
refresh: true
body: |'''
for (int i = 100; i < 200; i++) {
def value = i
if (i % 10) {
value = i * 10
}
buildRestTests.setups['correlate_latency'] += """
{"index":{}}
{"latency": "$value", "version": "1.0"}"""
}
for (int i = 0; i < 100; i++) {
def value = i
if (i % 10) {
value = i * 10
}
buildRestTests.setups['correlate_latency'] += """
{"index":{}}
{"latency": "$value", "version": "2.0"}"""
}
/* Load the actual events only if we're going to use them. */
File atomicRedRegsvr32File = new File("$projectDir/src/yamlRestTest/resources/normalized-T1117-AtomicRed-regsvr32.json")
inputs.file(atomicRedRegsvr32File)
doFirst {
String events = atomicRedRegsvr32File.getText('UTF-8')
// Indent like a yaml test needs
events = events.replaceAll('(?m)^', ' ')
setups['atomic_red_regsvr32'] =
setups['atomic_red_regsvr32'].replace('#atomic_red_data#', events)
}
}
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