1482 lines
52 KiB
Groovy
1482 lines
52 KiB
Groovy
import org.elasticsearch.gradle.info.BuildParams
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import static org.elasticsearch.gradle.testclusters.TestDistribution.DEFAULT
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/*
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* Licensed to Elasticsearch under one or more contributor
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* license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright
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* ownership. Elasticsearch licenses this file to you under
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* the Apache License, Version 2.0 (the "License"); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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apply plugin: 'elasticsearch.docs-test'
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apply plugin: 'elasticsearch.rest-resources'
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/* List of files that have snippets that will not work until platinum tests can occur ... */
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buildRestTests.expectedUnconvertedCandidates = [
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'reference/ml/anomaly-detection/ml-configuring-transform.asciidoc',
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'reference/ml/anomaly-detection/apis/delete-calendar-event.asciidoc',
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'reference/ml/anomaly-detection/apis/get-bucket.asciidoc',
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'reference/ml/anomaly-detection/apis/get-category.asciidoc',
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'reference/ml/anomaly-detection/apis/get-influencer.asciidoc',
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'reference/ml/anomaly-detection/apis/get-job-stats.asciidoc',
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'reference/ml/anomaly-detection/apis/get-job.asciidoc',
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'reference/ml/anomaly-detection/apis/get-overall-buckets.asciidoc',
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'reference/ml/anomaly-detection/apis/get-record.asciidoc',
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'reference/ml/anomaly-detection/apis/get-snapshot.asciidoc',
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'reference/ml/anomaly-detection/apis/post-data.asciidoc',
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'reference/ml/anomaly-detection/apis/revert-snapshot.asciidoc',
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'reference/ml/anomaly-detection/apis/update-snapshot.asciidoc',
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'reference/ml/anomaly-detection/apis/update-job.asciidoc'
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]
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restResources {
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restApi {
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includeCore '*'
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}
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}
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testClusters.integTest {
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if (singleNode().testDistribution == DEFAULT) {
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setting 'xpack.license.self_generated.type', 'trial'
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setting 'indices.lifecycle.history_index_enabled', 'false'
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if (BuildParams.isSnapshotBuild() == false) {
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systemProperty 'es.autoscaling_feature_flag_registered', 'true'
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systemProperty 'es.searchable_snapshots_feature_enabled', 'true'
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}
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setting 'xpack.autoscaling.enabled', 'true'
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setting 'xpack.eql.enabled', 'true'
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keystorePassword 's3cr3t'
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}
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// enable regexes in painless so our tests don't complain about example snippets that use them
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setting 'script.painless.regex.enabled', 'true'
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setting 'path.repo', "${buildDir}/cluster/shared/repo"
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Closure configFile = {
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extraConfigFile it, file("src/test/cluster/config/$it")
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}
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configFile 'analysis/example_word_list.txt'
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configFile 'analysis/hyphenation_patterns.xml'
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configFile 'analysis/synonym.txt'
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configFile 'analysis/stemmer_override.txt'
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configFile 'userdict_ja.txt'
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configFile 'userdict_ko.txt'
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configFile 'KeywordTokenizer.rbbi'
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extraConfigFile 'hunspell/en_US/en_US.aff', project(":server").file('src/test/resources/indices/analyze/conf_dir/hunspell/en_US/en_US.aff')
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extraConfigFile 'hunspell/en_US/en_US.dic', project(":server").file('src/test/resources/indices/analyze/conf_dir/hunspell/en_US/en_US.dic')
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// Whitelist reindexing from the local node so we can test it.
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setting 'reindex.remote.whitelist', '127.0.0.1:*'
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// TODO: remove this once cname is prepended to transport.publish_address by default in 8.0
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systemProperty 'es.transport.cname_in_publish_address', 'true'
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}
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// build the cluster with all plugins
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project.rootProject.subprojects.findAll { it.parent.path == ':plugins' }.each { subproj ->
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/* Skip repositories. We just aren't going to be able to test them so it
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* doesn't make sense to waste time installing them. */
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if (subproj.path.startsWith(':plugins:repository-')) {
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return
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}
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// Do not install ingest-attachment in a FIPS 140 JVM as this is not supported
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if (subproj.path.startsWith(':plugins:ingest-attachment') && BuildParams.inFipsJvm) {
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return
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}
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// FIXME
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subproj.afterEvaluate { // need to wait until the project has been configured
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testClusters.integTest {
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plugin subproj.bundlePlugin.archiveFile
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}
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tasks.integTest.dependsOn subproj.bundlePlugin
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}
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}
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buildRestTests.docs = fileTree(projectDir) {
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// No snippets in here!
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exclude 'build.gradle'
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// That is where the snippets go, not where they come from!
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exclude 'build'
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// Just syntax examples
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exclude 'README.asciidoc'
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// Broken code snippet tests
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exclude 'reference/graph/explore.asciidoc'
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if (Boolean.parseBoolean(System.getProperty("tests.fips.enabled"))) {
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// We don't install/support this plugin in FIPS 140
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exclude 'plugins/ingest-attachment.asciidoc'
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// We can't conditionally control output, this would be missing the ingest-attachment plugin
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exclude 'reference/cat/plugins.asciidoc'
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}
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}
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listSnippets.docs = buildRestTests.docs
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Closure setupMyIndex = { String name, int count ->
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buildRestTests.setups[name] = '''
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- do:
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indices.create:
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index: my-index-000001
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body:
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settings:
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number_of_shards: 1
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number_of_replicas: 1
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mappings:
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properties:
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"@timestamp":
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type: date
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http:
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properties:
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request:
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properties:
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method:
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type: keyword
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message:
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type: text
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user:
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properties:
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id:
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type: keyword
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doc_values: true
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- do:
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bulk:
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index: my-index-000001
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refresh: true
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body: |'''
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for (int i = 0; i < count; i++) {
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String ip, user_id
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if (i == 0) {
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ip = '127.0.0.1'
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user_id = 'kimchy'
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} else {
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ip = '10.42.42.42'
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user_id= 'elkbee'
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}
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buildRestTests.setups[name] += """
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{ "index":{"_id": "$i"} }
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{ "@timestamp": "2099-11-15T14:12:12", "http": { "request": { "method": "get" }, "response": { "bytes": 1070000, "status_code": 200 }, "version": "1.1" }, "message": "GET /search HTTP/1.1 200 1070000", "source": { "ip": "$ip" }, "user": { "id": "$user_id" } }"""
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}
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}
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setupMyIndex('my_index', 5)
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setupMyIndex('my_index_big', 120)
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setupMyIndex('my_index_huge', 1200)
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// Used for several full-text search and agg examples
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buildRestTests.setups['messages'] = '''
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- do:
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indices.create:
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index: my-index-000001
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body:
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settings:
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number_of_shards: 1
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number_of_replicas: 1
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- do:
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bulk:
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index: my-index-000001
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refresh: true
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body: |
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{"index":{"_id": "0"}}
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{"message": "trying out Elasticsearch"}
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{"index":{"_id": "1"}}
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{"message": "some message with the number 1"}
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{"index":{"_id": "2"}}
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{"message": "some message with the number 2"}
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{"index":{"_id": "3"}}
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{"message": "some message with the number 3"}
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{"index":{"_id": "4"}}
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{"message": "some message with the number 4"}'''
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// Used for EQL
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buildRestTests.setups['sec_logs'] = '''
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- do:
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indices.create:
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index: my-index-000001
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body:
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settings:
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number_of_shards: 1
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number_of_replicas: 1
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- do:
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bulk:
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index: my-index-000001
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refresh: true
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body: |
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{"index":{}}
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{"@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" }}
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{"index":{}}
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{"@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" }}
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{"index":{}}
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{"@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" } }
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{"index":{}}
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{"@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" }}
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{"index":{}}
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{"@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" }}
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{"index":{}}
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{"@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" }}'''
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buildRestTests.setups['host'] = '''
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# Fetch the http host. We use the host of the master because we know there will always be a master.
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- do:
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cluster.state: {}
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- set: { master_node: master }
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- do:
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nodes.info:
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metric: [ http, transport ]
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- set: {nodes.$master.http.publish_address: host}
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- set: {nodes.$master.transport.publish_address: transport_host}
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'''
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buildRestTests.setups['node'] = '''
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# Fetch the node name. We use the host of the master because we know there will always be a master.
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- do:
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cluster.state: {}
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- is_true: master_node
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- set: { master_node: node_name }
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'''
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// Used by scripted metric docs
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buildRestTests.setups['ledger'] = '''
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- do:
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indices.create:
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index: ledger
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body:
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settings:
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number_of_shards: 2
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number_of_replicas: 1
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mappings:
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properties:
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type:
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type: keyword
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amount:
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type: double
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- do:
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bulk:
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index: ledger
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refresh: true
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body: |
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{"index":{}}
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{"date": "2015/01/01 00:00:00", "amount": 200, "type": "sale", "description": "something"}
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{"index":{}}
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{"date": "2015/01/01 00:00:00", "amount": 10, "type": "expense", "description": "another thing"}
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{"index":{}}
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{"date": "2015/01/01 00:00:00", "amount": 150, "type": "sale", "description": "blah"}
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{"index":{}}
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{"date": "2015/01/01 00:00:00", "amount": 50, "type": "expense", "description": "cost of blah"}
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{"index":{}}
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{"date": "2015/01/01 00:00:00", "amount": 50, "type": "expense", "description": "advertisement"}'''
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// Used by aggregation docs
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buildRestTests.setups['sales'] = '''
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- do:
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indices.create:
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index: sales
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body:
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settings:
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number_of_shards: 2
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number_of_replicas: 1
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mappings:
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properties:
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type:
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type: keyword
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- do:
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bulk:
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index: sales
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refresh: true
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body: |
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{"index":{}}
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{"date": "2015/01/01 00:00:00", "price": 200, "promoted": true, "rating": 1, "type": "hat"}
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{"index":{}}
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{"date": "2015/01/01 00:00:00", "price": 200, "promoted": true, "rating": 1, "type": "t-shirt"}
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{"index":{}}
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{"date": "2015/01/01 00:00:00", "price": 150, "promoted": true, "rating": 5, "type": "bag"}
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{"index":{}}
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{"date": "2015/02/01 00:00:00", "price": 50, "promoted": false, "rating": 1, "type": "hat"}
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{"index":{}}
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{"date": "2015/02/01 00:00:00", "price": 10, "promoted": true, "rating": 4, "type": "t-shirt"}
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{"index":{}}
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{"date": "2015/03/01 00:00:00", "price": 200, "promoted": true, "rating": 1, "type": "hat"}
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{"index":{}}
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{"date": "2015/03/01 00:00:00", "price": 175, "promoted": false, "rating": 2, "type": "t-shirt"}'''
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// Used by cumulative cardinality aggregation docs
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buildRestTests.setups['user_hits'] = '''
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- do:
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indices.create:
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index: user_hits
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body:
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settings:
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number_of_shards: 1
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number_of_replicas: 0
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mappings:
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properties:
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user_id:
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type: keyword
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timestamp:
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type: date
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- do:
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bulk:
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index: user_hits
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refresh: true
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body: |
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{"index":{}}
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{"timestamp": "2019-01-01T13:00:00", "user_id": "1"}
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{"index":{}}
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{"timestamp": "2019-01-01T13:00:00", "user_id": "2"}
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{"index":{}}
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{"timestamp": "2019-01-02T13:00:00", "user_id": "1"}
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{"index":{}}
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{"timestamp": "2019-01-02T13:00:00", "user_id": "3"}
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{"index":{}}
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{"timestamp": "2019-01-03T13:00:00", "user_id": "1"}
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{"index":{}}
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{"timestamp": "2019-01-03T13:00:00", "user_id": "2"}
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{"index":{}}
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{"timestamp": "2019-01-03T13:00:00", "user_id": "4"}'''
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// Fake bank account data used by getting-started.asciidoc
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buildRestTests.setups['bank'] = '''
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- do:
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indices.create:
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index: bank
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body:
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settings:
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number_of_shards: 5
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number_of_routing_shards: 5
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- do:
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bulk:
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index: bank
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refresh: true
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body: |
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#bank_data#
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'''
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/* Load the actual accounts only if we're going to use them. This complicates
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* dependency checking but that is a small price to pay for not building a
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* 400kb string every time we start the build. */
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File accountsFile = new File("$projectDir/src/test/resources/accounts.json")
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buildRestTests.inputs.file(accountsFile)
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buildRestTests.doFirst {
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String accounts = accountsFile.getText('UTF-8')
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// Indent like a yaml test needs
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accounts = accounts.replaceAll('(?m)^', ' ')
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buildRestTests.setups['bank'] =
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buildRestTests.setups['bank'].replace('#bank_data#', accounts)
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}
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// Used by sampler and diversified-sampler aggregation docs
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buildRestTests.setups['stackoverflow'] = '''
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- do:
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indices.create:
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index: stackoverflow
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body:
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settings:
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number_of_shards: 1
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number_of_replicas: 1
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mappings:
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properties:
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author:
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type: keyword
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tags:
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type: keyword
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- do:
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bulk:
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index: stackoverflow
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refresh: true
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body: |'''
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// Make Kibana strongly connected to elasticsearch and logstash
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// Make Kibana rarer (and therefore higher-ranking) than JavaScript
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// Make JavaScript strongly connected to jquery and angular
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// Make Cabana strongly connected to elasticsearch but only as a result of a single author
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for (int i = 0; i < 150; i++) {
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buildRestTests.setups['stackoverflow'] += """
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{"index":{}}
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{"author": "very_relevant_$i", "tags": ["elasticsearch", "kibana"]}"""
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}
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for (int i = 0; i < 50; i++) {
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buildRestTests.setups['stackoverflow'] += """
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{"index":{}}
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{"author": "very_relevant_$i", "tags": ["logstash", "kibana"]}"""
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}
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for (int i = 0; i < 200; i++) {
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buildRestTests.setups['stackoverflow'] += """
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{"index":{}}
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{"author": "partially_relevant_$i", "tags": ["javascript", "jquery"]}"""
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}
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for (int i = 0; i < 200; i++) {
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buildRestTests.setups['stackoverflow'] += """
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{"index":{}}
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{"author": "partially_relevant_$i", "tags": ["javascript", "angular"]}"""
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}
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for (int i = 0; i < 50; i++) {
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buildRestTests.setups['stackoverflow'] += """
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{"index":{}}
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{"author": "noisy author", "tags": ["elasticsearch", "cabana"]}"""
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}
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buildRestTests.setups['stackoverflow'] += """
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"""
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// Used by significant_text aggregation docs
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|
buildRestTests.setups['news'] = '''
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|
- do:
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indices.create:
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index: news
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body:
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settings:
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number_of_shards: 1
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number_of_replicas: 1
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mappings:
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properties:
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source:
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type: keyword
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content:
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type: text
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- do:
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bulk:
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index: news
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refresh: true
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body: |'''
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// Make h5n1 strongly connected to bird flu
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|
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for (int i = 0; i < 100; i++) {
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buildRestTests.setups['news'] += """
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{"index":{}}
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|
{"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_example_script'] = '''
|
|
# Simple script to load a field. Not really a good example, but a simple one.
|
|
- do:
|
|
put_script:
|
|
id: "my_script"
|
|
body: { "script": { "lang": "painless", "source": "doc[params.field].value" } }
|
|
- match: { acknowledged: true }
|
|
'''
|
|
|
|
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['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"]
|
|
}
|
|
'''
|
|
buildRestTests.setups['calendar_outages_addevent'] = buildRestTests.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
|
|
buildRestTests.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}
|
|
'''
|
|
buildRestTests.setups['remote_cluster'] = buildRestTests.setups['host'] + '''
|
|
- do:
|
|
cluster.put_settings:
|
|
body:
|
|
persistent:
|
|
cluster.remote.remote_cluster.seeds: $transport_host
|
|
'''
|
|
|
|
buildRestTests.setups['remote_cluster_and_leader_index'] = buildRestTests.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
|
|
'''
|
|
|
|
buildRestTests.setups['seats'] = '''
|
|
- do:
|
|
indices.create:
|
|
index: seats
|
|
body:
|
|
settings:
|
|
number_of_shards: 1
|
|
number_of_replicas: 0
|
|
mappings:
|
|
properties:
|
|
theatre:
|
|
type: keyword
|
|
cost:
|
|
type: long
|
|
row:
|
|
type: long
|
|
number:
|
|
type: long
|
|
sold:
|
|
type: boolean
|
|
- do:
|
|
bulk:
|
|
index: seats
|
|
refresh: true
|
|
body: |
|
|
{"index":{"_id": "1"}}
|
|
{"theatre": "Skyline", "cost": 37, "row": 1, "number": 7, "sold": false}
|
|
{"index":{"_id": "2"}}
|
|
{"theatre": "Graye", "cost": 30, "row": 3, "number": 5, "sold": false}
|
|
{"index":{"_id": "3"}}
|
|
{"theatre": "Graye", "cost": 33, "row": 2, "number": 6, "sold": false}
|
|
{"index":{"_id": "4"}}
|
|
{"theatre": "Skyline", "cost": 20, "row": 5, "number": 2, "sold": false}'''
|
|
buildRestTests.setups['kibana_sample_data_ecommerce'] = '''
|
|
- do:
|
|
indices.create:
|
|
index: kibana_sample_data_ecommerce
|
|
body:
|
|
settings:
|
|
number_of_shards: 1
|
|
number_of_replicas: 0
|
|
'''
|
|
buildRestTests.setups['add_timestamp_pipeline'] = '''
|
|
- do:
|
|
ingest.put_pipeline:
|
|
id: "add_timestamp_pipeline"
|
|
body: >
|
|
{
|
|
"processors": [
|
|
{
|
|
"set" : {
|
|
"field" : "@timestamp",
|
|
"value" : "{{_ingest.timestamp}}"
|
|
}
|
|
}
|
|
]
|
|
}
|
|
'''
|
|
buildRestTests.setups['simple_kibana_continuous_pivot'] = buildRestTests.setups['kibana_sample_data_ecommerce'] + buildRestTests.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"
|
|
}
|
|
}
|
|
}
|
|
'''
|
|
buildRestTests.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}
|
|
'''
|
|
buildRestTests.setups['logdata_job'] = buildRestTests.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
|
|
buildRestTests.setups['setup-repository'] = '''
|
|
- do:
|
|
snapshot.create_repository:
|
|
repository: my_repository
|
|
body:
|
|
type: fs
|
|
settings:
|
|
location: buildDir/cluster/shared/repo
|
|
'''
|
|
|
|
// Fake sec logs data used by EQL search
|
|
buildRestTests.setups['atomic_red_regsvr32'] = '''
|
|
- do:
|
|
indices.create:
|
|
index: my-index-000001
|
|
body:
|
|
settings:
|
|
number_of_shards: 5
|
|
number_of_routing_shards: 5
|
|
mappings:
|
|
properties:
|
|
process:
|
|
properties:
|
|
"command_line":
|
|
type: keyword
|
|
- do:
|
|
bulk:
|
|
index: my-index-000001
|
|
refresh: true
|
|
body: |
|
|
#atomic_red_data#
|
|
'''
|
|
/* Load the actual events only if we're going to use them. */
|
|
File atomicRedRegsvr32File = new File("$projectDir/src/test/resources/normalized-T1117-AtomicRed-regsvr32.json")
|
|
buildRestTests.inputs.file(atomicRedRegsvr32File)
|
|
buildRestTests.doFirst {
|
|
String events = atomicRedRegsvr32File.getText('UTF-8')
|
|
// Indent like a yaml test needs
|
|
events = events.replaceAll('(?m)^', ' ')
|
|
buildRestTests.setups['atomic_red_regsvr32'] =
|
|
buildRestTests.setups['atomic_red_regsvr32'].replace('#atomic_red_data#', events)
|
|
}
|