diff --git a/README.asciidoc b/README.asciidoc index f606d520b53c9..1391b1903f7f8 100644 --- a/README.asciidoc +++ b/README.asciidoc @@ -1,205 +1,51 @@ = Elasticsearch -== A Distributed RESTful Search Engine +Elasticsearch is the distributed, RESTful search and analytics engine at the +heart of the https://www.elastic.co/products[Elastic Stack]. You can use +Elasticsearch to store, search, and manage data for: -=== https://www.elastic.co/products/elasticsearch[https://www.elastic.co/products/elasticsearch] +* Logs +* Metrics +* A search backend +* Application monitoring +* Endpoint security -Elasticsearch is a distributed RESTful search engine built for the cloud. Features include: +\... and more! -* Distributed and Highly Available Search Engine. -** Each index is fully sharded with a configurable number of shards. -** Each shard can have one or more replicas. -** Read / Search operations performed on any of the replica shards. -* Multi-tenant. -** Support for more than one index. -** Index level configuration (number of shards, index storage, etc.). -* Various set of APIs -** HTTP RESTful API -** All APIs perform automatic node operation rerouting. -* Document oriented -** No need for upfront schema definition. -** Schema can be defined for customization of the indexing process. -* Reliable, Asynchronous Write Behind for long term persistency. -* Near real-time search. -* Built on top of Apache Lucene -** Each shard is a fully functional Lucene index -** All the power of Lucene easily exposed through simple configuration and plugins. -* Per operation consistency -** Single document-level operations are atomic, consistent, isolated, and durable. +To learn more about Elasticsearch's features and capabilities, see our +https://www.elastic.co/products/elasticsearch[product page]. -== Getting Started +[[get-started]] +== Get started -First of all, DON'T PANIC. It will take 5 minutes to get the gist of what Elasticsearch is all about. +The simplest way to set up Elasticsearch is to create a managed deployment with +https://www.elastic.co/cloud/as-a-service[Elasticsearch Service on Elastic +Cloud]. -=== Installation +If you prefer to install and manage Elasticsearch yourself, you can download +the latest version from +https://www.elastic.co/downloads/elasticsearch[elastic.co/downloads/elasticsearch]. -* https://www.elastic.co/downloads/elasticsearch[Download] and unpack the Elasticsearch official distribution. -* Run `bin/elasticsearch` on Linux or macOS. Run `bin\elasticsearch.bat` on Windows. -* Run `curl -X GET http://localhost:9200/` to verify Elasticsearch is running. +For more installation options, see the +https://www.elastic.co/guide/en/elasticsearch/reference/current/install-elasticsearch.html[Elasticsearch installation +documentation]. -For more options, see -https://www.elastic.co/guide/en/elasticsearch/reference/current/starting-elasticsearch.html[Starting -Elasticsearch]. +[[upgrade]] +== Upgrade -=== Indexing +To upgrade from an earlier version of Elasticsearch, see the +https://www.elastic.co/guide/en/elasticsearch/reference/current/setup-upgrade.html[Elasticsearch upgrade +documentation]. -First, index some sample JSON documents. The first request automatically creates -the `my-index-000001` index. - ----- -curl -X POST 'http://localhost:9200/my-index-000001/_doc?pretty' -H 'Content-Type: application/json' -d ' -{ - "@timestamp": "2099-11-15T13:12:00", - "message": "GET /search HTTP/1.1 200 1070000", - "user": { - "id": "kimchy" - } -}' - -curl -X POST 'http://localhost:9200/my-index-000001/_doc?pretty' -H 'Content-Type: application/json' -d ' -{ - "@timestamp": "2099-11-15T14:12:12", - "message": "GET /search HTTP/1.1 200 1070000", - "user": { - "id": "elkbee" - } -}' - -curl -X POST 'http://localhost:9200/my-index-000001/_doc?pretty' -H 'Content-Type: application/json' -d ' -{ - "@timestamp": "2099-11-15T01:46:38", - "message": "GET /search HTTP/1.1 200 1070000", - "user": { - "id": "elkbee" - } -}' ----- - -=== Search - -Next, use a search request to find any documents with a `user.id` of `kimchy`. - ----- -curl -X GET 'http://localhost:9200/my-index-000001/_search?q=user.id:kimchy&pretty=true' ----- - -Instead of a query string, you can use Elasticsearch's -https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl.html[Query -DSL] in the request body. - ----- -curl -X GET 'http://localhost:9200/my-index-000001/_search?pretty=true' -H 'Content-Type: application/json' -d ' -{ - "query" : { - "match" : { "user.id": "kimchy" } - } -}' ----- - -You can also retrieve all documents in `my-index-000001`. - ----- -curl -X GET 'http://localhost:9200/my-index-000001/_search?pretty=true' -H 'Content-Type: application/json' -d ' -{ - "query" : { - "match_all" : {} - } -}' ----- - -During indexing, Elasticsearch automatically mapped the `@timestamp` field as a -date. This lets you run a range search. - ----- -curl -X GET 'http://localhost:9200/my-index-000001/_search?pretty=true' -H 'Content-Type: application/json' -d ' -{ - "query" : { - "range" : { - "@timestamp": { - "from": "2099-11-15T13:00:00", - "to": "2099-11-15T14:00:00" - } - } - } -}' ----- - -=== Multiple indices - -Elasticsearch supports multiple indices. The previous examples used an index -called `my-index-000001`. You can create another index, `my-index-000002`, to -store additional data when `my-index-000001` reaches a certain age or size. You -can also use separate indices to store different types of data. - -You can configure each index differently. The following request -creates `my-index-000002` with two primary shards rather than the default of -one. This may be helpful for larger indices. - ----- -curl -X PUT 'http://localhost:9200/my-index-000002?pretty' -H 'Content-Type: application/json' -d ' -{ - "settings" : { - "index.number_of_shards" : 2 - } -}' ----- - -You can then add a document to `my-index-000002`. - ----- -curl -X POST 'http://localhost:9200/my-index-000002/_doc?pretty' -H 'Content-Type: application/json' -d ' -{ - "@timestamp": "2099-11-16T13:12:00", - "message": "GET /search HTTP/1.1 200 1070000", - "user": { - "id": "kimchy" - } -}' ----- - -You can search and perform other operations on multiple indices with a single -request. The following request searches `my-index-000001` and `my-index-000002`. - ----- -curl -X GET 'http://localhost:9200/my-index-000001,my-index-000002/_search?pretty=true' -H 'Content-Type: application/json' -d ' -{ - "query" : { - "match_all" : {} - } -}' ----- - -You can omit the index from the request path to search all indices. - ----- -curl -X GET 'http://localhost:9200/_search?pretty=true' -H 'Content-Type: application/json' -d ' -{ - "query" : { - "match_all" : {} - } -}' ----- - -=== Distributed, highly available - -Let's face it; things will fail... - -Elasticsearch is a highly available and distributed search engine. Each index is broken down into shards, and each shard can have one or more replicas. By default, an index is created with 1 shard and 1 replica per shard (1/1). Many topologies can be used, including 1/10 (improve search performance) or 20/1 (improve indexing performance, with search executed in a MapReduce fashion across shards). - -To play with the distributed nature of Elasticsearch, bring more nodes up and shut down nodes. The system will continue to serve requests (ensure you use the correct HTTP port) with the latest data indexed. - -=== Where to go from here? - -We have just covered a tiny portion of what Elasticsearch is all about. For more information, please refer to the https://www.elastic.co/products/elasticsearch[elastic.co] website. General questions can be asked on the https://discuss.elastic.co[Elastic Forum] or https://ela.st/slack[on Slack]. The Elasticsearch GitHub repository is reserved for bug reports and feature requests only. - -=== Building from source +[[build-source]] +== Build from source Elasticsearch uses https://gradle.org[Gradle] for its build system. -To build a distribution for your local OS and print its output location upon +To build a distribution for your local OS and print its output location upon completion, run: ---- -./gradlew localDistro +./gradlew localDistro ---- To build a distribution for another platform, run the related command: @@ -214,10 +60,31 @@ To build distributions for all supported platforms, run: ./gradlew assemble ---- -Finished distributions are output to `distributions/archives`. +Distributions are output to `distributions/archives`. + +To run the test suite, see xref:TESTING.asciidoc[TESTING]. + +[[docs]] +== Documentation + +For the complete Elasticsearch documentation visit +https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html[elastic.co]. + +For information about our documentation processes, see the +xref:docs/README.asciidoc[docs README]. + +[[contribute]] +== Contribute + +For contribution guidelines, see xref:CONTRIBUTING.md[CONTRIBUTING]. -See the xref:TESTING.asciidoc[TESTING] for more information about running the Elasticsearch test suite. +[[questions]] +== Questions? Problems? Suggestions? -=== Upgrading from older Elasticsearch versions +* To report a bug or request a feature, create a +https://github.com/elastic/elasticsearch/issues/new/choose[GitHub Issue]. Please +ensure someone else hasn't created an issue for the same topic. -To ensure a smooth upgrade process from earlier versions of Elasticsearch, please see our https://www.elastic.co/guide/en/elasticsearch/reference/current/setup-upgrade.html[upgrade documentation] for more details on the upgrade process. +* Need help using Elasticsearch? Reach out on the +https://discuss.elastic.co[Elastic Forum] or https://ela.st/slack[Slack]. A +fellow community member or Elastic engineer will be happy to help you out. diff --git a/docs/build.gradle b/docs/build.gradle index 2519afb1ca58a..a0f009d15e217 100644 --- a/docs/build.gradle +++ b/docs/build.gradle @@ -372,36 +372,6 @@ buildRestTests.setups['user_hits'] = ''' {"index":{}} {"timestamp": "2019-01-03T13:00:00", "user_id": "4"}''' - -// Fake bank account data used by getting-started.asciidoc -buildRestTests.setups['bank'] = ''' - - do: - indices.create: - index: bank - body: - settings: - number_of_shards: 5 - number_of_routing_shards: 5 - - do: - bulk: - index: bank - refresh: true - body: | -#bank_data# -''' -/* Load the actual accounts only if we're going to use them. This complicates - * dependency checking but that is a small price to pay for not building a - * 400kb string every time we start the build. */ -File accountsFile = new File("$projectDir/src/test/resources/accounts.json") -buildRestTests.inputs.file(accountsFile) -buildRestTests.doFirst { - String accounts = accountsFile.getText('UTF-8') - // Indent like a yaml test needs - accounts = accounts.replaceAll('(?m)^', ' ') - buildRestTests.setups['bank'] = - buildRestTests.setups['bank'].replace('#bank_data#', accounts) -} - // Used by sampler and diversified-sampler aggregation docs buildRestTests.setups['stackoverflow'] = ''' - do: diff --git a/docs/reference/getting-started.asciidoc b/docs/reference/getting-started.asciidoc index 278477d068396..2282a0e4d32ff 100755 --- a/docs/reference/getting-started.asciidoc +++ b/docs/reference/getting-started.asciidoc @@ -1,744 +1,528 @@ +[chapter] [[getting-started]] -= Getting started with {es} += Quick start -[partintro] --- -Ready to take {es} for a test drive and see for yourself how you can use the -REST APIs to store, search, and analyze data? +This guide helps beginners learn how to: -Step through this getting started tutorial to: +* Install and run {es} in a test environment +* Add data to {es} +* Search and sort data +* Extract fields from unstructured content during a search -. Get an {es} cluster up and running -. Index some sample documents -. Search for documents using the {es} query language -. Analyze the results using bucket and metrics aggregations - - -Need more context? - -Check out the <> to learn the lingo and understand the basics of -how {es} works. If you're already familiar with {es} and want to see how it works -with the rest of the stack, you might want to jump to the -{stack-gs}/get-started-elastic-stack.html[Elastic Stack -Tutorial] to see how to set up a system monitoring solution with {es}, {kib}, -{beats}, and {ls}. - -TIP: The fastest way to get started with {es} is to -{ess-trial}[start a free 14-day -trial of {ess}] in the cloud. --- +[discrete] +[[run-elasticsearch]] +=== Step 1. Run {es} -[[getting-started-install]] -== Get {es} up and running +The simplest way to set up {es} is to create a managed deployment with {ess} on +{ecloud}. If you prefer to manage your own test environment, you can install and +run {es} using Docker. -To take {es} for a test drive, you can create a {ess-trial}[hosted deployment] -on {ess} or set up a multi-node {es} cluster on your own Linux, macOS, or -Windows machine. +include::{es-repo-dir}/tab-widgets/code.asciidoc[] +include::{es-repo-dir}/tab-widgets/quick-start-install-widget.asciidoc[] [discrete] -[[run-elasticsearch-hosted]] -=== Run {es} on Elastic Cloud +[[send-requests-to-elasticsearch]] +=== Step 2. Send requests to {es} -When you create a deployment on the {es} Service, the service provisions -a three-node {es} cluster along with Kibana and APM. +You send data and other requests to {es} using REST APIs. This lets you interact +with {es} using any client that sends HTTP requests, such as +https://curl.se[curl]. You can also use {kib}'s console to send requests to +{es}. -To create a deployment: - -. Sign up for a {ess-trial}[free trial] -and verify your email address. -. Set a password for your account. -. Click **Create Deployment**. - -Once you've created a deployment, you're ready to <>. +include::{es-repo-dir}/tab-widgets/api-call-widget.asciidoc[] [discrete] -[[run-elasticsearch-local]] -=== Run {es} locally on Linux, macOS, or Windows - -When you create a deployment on {ess}, a master node and two data nodes are -provisioned automatically. By installing from the tar or zip archive, you can -start multiple instances of {es} locally to see how a multi-node cluster -behaves. - -To run a three-node {es} cluster locally: - -. Download the {es} archive for your OS: -+ -Linux: https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-{version}-linux-x86_64.tar.gz[elasticsearch-{version}-linux-x86_64.tar.gz] -+ -["source","sh",subs="attributes,callouts"] --------------------------------------------------- -curl -L -O https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-{version}-linux-x86_64.tar.gz --------------------------------------------------- -// NOTCONSOLE -+ -macOS: https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-{version}-darwin-x86_64.tar.gz[elasticsearch-{version}-darwin-x86_64.tar.gz] -+ -["source","sh",subs="attributes,callouts"] --------------------------------------------------- -curl -L -O https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-{version}-darwin-x86_64.tar.gz --------------------------------------------------- -// NOTCONSOLE -+ -Windows: -https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-{version}-windows-x86_64.zip[elasticsearch-{version}-windows-x86_64.zip] - -. Extract the archive: -+ -Linux: -+ -["source","sh",subs="attributes,callouts"] --------------------------------------------------- -tar -xvf elasticsearch-{version}-linux-x86_64.tar.gz --------------------------------------------------- -+ -macOS: -+ -["source","sh",subs="attributes,callouts"] --------------------------------------------------- -tar -xvf elasticsearch-{version}-darwin-x86_64.tar.gz --------------------------------------------------- -+ -Windows PowerShell: -+ -["source","powershell",subs="attributes,callouts"] --------------------------------------------------- -Expand-Archive elasticsearch-{version}-windows-x86_64.zip --------------------------------------------------- - -. Start {es} from the `bin` directory: -+ -Linux and macOS: -+ -["source","sh",subs="attributes,callouts"] --------------------------------------------------- -cd elasticsearch-{version}/bin -./elasticsearch --------------------------------------------------- -+ -Windows: -+ -["source","powershell",subs="attributes,callouts"] --------------------------------------------------- -cd elasticsearch-{version}\bin -.\elasticsearch.bat --------------------------------------------------- -+ -You now have a single-node {es} cluster up and running! - -. Start two more instances of {es} so you can see how a typical multi-node -cluster behaves. You need to specify unique data and log paths -for each node. -+ -Linux and macOS: -+ -["source","sh",subs="attributes,callouts"] --------------------------------------------------- -./elasticsearch -Epath.data=data2 -Epath.logs=log2 -./elasticsearch -Epath.data=data3 -Epath.logs=log3 --------------------------------------------------- -+ -Windows: -+ -["source","powershell",subs="attributes,callouts"] --------------------------------------------------- -.\elasticsearch.bat -E path.data=data2 -E path.logs=log2 -.\elasticsearch.bat -E path.data=data3 -E path.logs=log3 --------------------------------------------------- -+ -The additional nodes are assigned unique IDs. Because you're running all three -nodes locally, they automatically join the cluster with the first node. - -. Use the cat health API to verify that your three-node cluster is up running. -The cat APIs return information about your cluster and indices in a -format that's easier to read than raw JSON. -+ -You can interact directly with your cluster by submitting HTTP requests to -the {es} REST API. If you have Kibana installed and running, you can also -open Kibana and submit requests through the Dev Console. -+ -TIP: You'll want to check out the -https://www.elastic.co/guide/en/elasticsearch/client/index.html[{es} language -clients] when you're ready to start using {es} in your own applications. -+ -[source,console] --------------------------------------------------- -GET /_cat/health?v=true --------------------------------------------------- -+ -The response should indicate that the status of the `elasticsearch` cluster -is `green` and it has three nodes: -+ -[source,txt] --------------------------------------------------- -epoch timestamp cluster status node.total node.data shards pri relo init unassign pending_tasks max_task_wait_time active_shards_percent -1565052807 00:53:27 elasticsearch green 3 3 6 3 0 0 0 0 - 100.0% --------------------------------------------------- -// TESTRESPONSE[s/1565052807 00:53:27 elasticsearch/\\d+ \\d+:\\d+:\\d+ integTest/] -// TESTRESPONSE[s/3 3 6 3/\\d+ \\d+ \\d+ \\d+/] -// TESTRESPONSE[s/0 0 -/0 \\d+ (-|\\d+(\.\\d+)?(micros|ms|s))/] -// TESTRESPONSE[non_json] -+ -NOTE: The cluster status will remain yellow if you are only running a single -instance of {es}. A single node cluster is fully functional, but data -cannot be replicated to another node to provide resiliency. Replica shards must -be available for the cluster status to be green. If the cluster status is red, -some data is unavailable. +[[add-data]] +=== Step 3. Add data -[discrete] -[[gs-curl]] -=== Talking to {es} with cURL commands - -Most of the examples in this guide enable you to copy the appropriate cURL -command and submit the request to your local {es} instance from the command line. - -A request to Elasticsearch consists of the same parts as any HTTP request: - -[source,sh] --------------------------------------------------- -curl -X '://:/?' -d '' --------------------------------------------------- -// NOTCONSOLE - -This example uses the following variables: - -``:: The appropriate HTTP method or verb. For example, `GET`, `POST`, -`PUT`, `HEAD`, or `DELETE`. -``:: Either `http` or `https`. Use the latter if you have an HTTPS -proxy in front of {es} or you use {es} {security-features} to encrypt HTTP -communications. -``:: The hostname of any node in your {es} cluster. Alternatively, use -+localhost+ for a node on your local machine. -``:: The port running the {es} HTTP service, which defaults to `9200`. -``:: The API endpoint, which can contain multiple components, such as -`_cluster/stats` or `_nodes/stats/jvm`. -``:: Any optional query-string parameters. For example, `?pretty` -will _pretty-print_ the JSON response to make it easier to read. -``:: A JSON-encoded request body (if necessary). - -If the {es} {security-features} are enabled, you must also provide a valid user -name (and password) that has authority to run the API. For example, use the -`-u` or `--u` cURL command parameter. For details about which security -privileges are required to run each API, see <>. - -{es} responds to each API request with an HTTP status code like `200 OK`. With -the exception of `HEAD` requests, it also returns a JSON-encoded response body. +You add data to {es} as JSON objects called documents. {es} stores these +documents in searchable indices. -[discrete] -[[gs-other-install]] -=== Other installation options +For time series data, such as logs and metrics, you typically add documents to a +data stream made up of multiple auto-generated backing indices. -Installing {es} from an archive file enables you to easily install and run -multiple instances locally so you can try things out. To run a single instance, -you can run {es} in a Docker container, install {es} using the DEB or RPM -packages on Linux, install using Homebrew on macOS, or install using the MSI -package installer on Windows. See <> for more information. +A data stream requires an index template that matches its name. {es} uses this +template to configure the stream's backing indices. Documents sent to a data +stream must have a `@timestamp` field. -[[getting-started-index]] -== Index some documents - -Once you have a cluster up and running, you're ready to index some data. -There are a variety of ingest options for {es}, but in the end they all -do the same thing: put JSON documents into an {es} index. +[discrete] +[[add-single-document]] +==== Add a single document -You can do this directly with a simple PUT request that specifies -the index you want to add the document, a unique document ID, and one or more -`"field": "value"` pairs in the request body: +Submit the following indexing request to add a single log entry to the +`logs-my_app-default` data stream. Since `logs-my_app-default` doesn't exist, the +request automatically creates it using the built-in `logs-*-*` index template. [source,console] --------------------------------------------------- -PUT /customer/_doc/1 +---- +POST logs-my_app-default/_doc { - "name": "John Doe" + "@timestamp": "2099-05-06T16:21:15.000Z", + "event": { + "original": "192.0.2.42 - - [06/May/2099:16:21:15 +0000] \"GET /images/bg.jpg HTTP/1.0\" 200 24736" + } } --------------------------------------------------- +---- +// TEST[s/_doc/_doc?refresh=wait_for/] -This request automatically creates the `customer` index if it doesn't already -exist, adds a new document that has an ID of `1`, and stores and -indexes the `name` field. +The response includes metadata that {es} generates for the document: -Since this is a new document, the response shows that the result of the -operation was that version 1 of the document was created: +* The backing `_index` that contains the document. {es} automatically generates + the names of backing indices. +* A unique `_id` for the document within the index. [source,console-result] --------------------------------------------------- +---- { - "_index" : "customer", - "_type" : "_doc", - "_id" : "1", - "_version" : 1, - "result" : "created", - "_shards" : { - "total" : 2, - "successful" : 2, - "failed" : 0 + "_index": ".ds-logs-my_app-default-2099-05-06-000001", + "_type": "_doc", + "_id": "gl5MJXMBMk1dGnErnBW8", + "_version": 1, + "result": "created", + "_shards": { + "total": 2, + "successful": 1, + "failed": 0 }, - "_seq_no" : 26, - "_primary_term" : 4 + "_seq_no": 0, + "_primary_term": 1 } --------------------------------------------------- -// TESTRESPONSE[s/"_seq_no" : \d+/"_seq_no" : $body._seq_no/] -// TESTRESPONSE[s/"successful" : \d+/"successful" : $body._shards.successful/] -// TESTRESPONSE[s/"_primary_term" : \d+/"_primary_term" : $body._primary_term/] +---- +// TESTRESPONSE[s/"_index": ".ds-logs-my_app-default-2099-05-06-000001"/"_index": $body._index/] +// TESTRESPONSE[s/"_id": "gl5MJXMBMk1dGnErnBW8"/"_id": $body._id/] +[discrete] +[[add-multiple-documents]] +==== Add multiple documents -The new document is available immediately from any node in the cluster. -You can retrieve it with a GET request that specifies its document ID: +To add multiple documents in one request, use the bulk API. Bulk data must be +newline-delimited JSON (NDJSON). Each line must end in a newline character +(`\n`), including the last line. [source,console] --------------------------------------------------- -GET /customer/_doc/1 --------------------------------------------------- +---- +PUT logs-my_app-default/_bulk +{ "create": { } } +{ "@timestamp": "2099-05-07T16:24:32.000Z", "event": { "original": "192.0.2.242 - - [07/May/2020:16:24:32 -0500] \"GET /images/hm_nbg.jpg HTTP/1.0\" 304 0" } } +{ "create": { } } +{ "@timestamp": "2099-05-08T16:25:42.000Z", "event": { "original": "192.0.2.255 - - [08/May/2099:16:25:42 +0000] \"GET /favicon.ico HTTP/1.0\" 200 3638" } } +---- // TEST[continued] - -The response indicates that a document with the specified ID was found -and shows the original source fields that were indexed. - -[source,console-result] --------------------------------------------------- -{ - "_index" : "customer", - "_type" : "_doc", - "_id" : "1", - "_version" : 1, - "_seq_no" : 26, - "_primary_term" : 4, - "found" : true, - "_source" : { - "name": "John Doe" - } -} --------------------------------------------------- -// TESTRESPONSE[s/"_seq_no" : \d+/"_seq_no" : $body._seq_no/ ] -// TESTRESPONSE[s/"_primary_term" : \d+/"_primary_term" : $body._primary_term/] +// TEST[s/_bulk/_bulk?refresh=wait_for/] [discrete] -[[getting-started-batch-processing]] -=== Indexing documents in bulk +[[qs-search-data]] +=== Step 4. Search data -If you have a lot of documents to index, you can submit them in batches with -the {ref}/docs-bulk.html[bulk API]. Using bulk to batch document -operations is significantly faster than submitting requests individually as it minimizes network roundtrips. +Indexed documents are available for search in near real-time. To search your +data stream, use the search API. -The optimal batch size depends on a number of factors: the document size and complexity, the indexing and search load, and the resources available to your cluster. A good place to start is with batches of 1,000 to 5,000 documents -and a total payload between 5MB and 15MB. From there, you can experiment -to find the sweet spot. - -To get some data into {es} that you can start searching and analyzing: - -. Download the https://github.com/elastic/elasticsearch/blob/master/docs/src/test/resources/accounts.json?raw=true[`accounts.json`] sample data set. The documents in this randomly-generated data set represent user accounts with the following information: -+ -[source,js] --------------------------------------------------- -{ - "account_number": 0, - "balance": 16623, - "firstname": "Bradshaw", - "lastname": "Mckenzie", - "age": 29, - "gender": "F", - "address": "244 Columbus Place", - "employer": "Euron", - "email": "bradshawmckenzie@euron.com", - "city": "Hobucken", - "state": "CO" -} --------------------------------------------------- -// NOTCONSOLE - -. Index the account data into the `bank` index with the following `_bulk` request: -+ -[source,sh] --------------------------------------------------- -curl -H "Content-Type: application/json" -XPOST "localhost:9200/bank/_bulk?pretty&refresh" --data-binary "@accounts.json" -curl "localhost:9200/_cat/indices?v=true" --------------------------------------------------- -// NOTCONSOLE -+ -//// -This replicates the above in a document-testing friendly way but isn't visible -in the docs: -+ -[source,console] --------------------------------------------------- -GET /_cat/indices?v=true --------------------------------------------------- -// TEST[setup:bank] -//// -+ -The response indicates that 1,000 documents were indexed successfully. -+ -[source,txt] --------------------------------------------------- -health status index uuid pri rep docs.count docs.deleted store.size pri.store.size -yellow open bank l7sSYV2cQXmu6_4rJWVIww 5 1 1000 0 128.6kb 128.6kb --------------------------------------------------- -// TESTRESPONSE[s/128.6kb/\\d+(\\.\\d+)?[mk]?b/] -// TESTRESPONSE[s/l7sSYV2cQXmu6_4rJWVIww/.+/ non_json] - -[[getting-started-search]] -== Start searching - -Once you have ingested some data into an {es} index, you can search it -by sending requests to the `_search` endpoint. To access the full suite of -search capabilities, you use the {es} Query DSL to specify the -search criteria in the request body. You specify the name of the index you -want to search in the request URI. - -For example, the following request retrieves all documents in the `bank` -index sorted by account number: +The following search matches all log entries in `logs-my_app-default` and +sorts them by `@timestamp` in descending order. [source,console] --------------------------------------------------- -GET /bank/_search +---- +GET logs-my_app-default/_search { - "query": { "match_all": {} }, + "query": { + "match_all": { } + }, "sort": [ - { "account_number": "asc" } + { + "@timestamp": "desc" + } ] } --------------------------------------------------- +---- // TEST[continued] -By default, the `hits` section of the response includes the first 10 documents -that match the search criteria: +By default, the `hits` section of the response includes up to the first 10 +documents that match the search. The `_source` of each hit contains the original +JSON object submitted during indexing. [source,console-result] --------------------------------------------------- +---- { - "took" : 63, - "timed_out" : false, - "_shards" : { - "total" : 5, - "successful" : 5, - "skipped" : 0, - "failed" : 0 + "took": 2, + "timed_out": false, + "_shards": { + "total": 1, + "successful": 1, + "skipped": 0, + "failed": 0 }, - "hits" : { - "total" : { - "value": 1000, - "relation": "eq" + "hits": { + "total": { + "value": 3, + "relation": "eq" }, - "max_score" : null, - "hits" : [ { - "_index" : "bank", - "_type" : "_doc", - "_id" : "0", - "sort": [0], - "_score" : null, - "_source" : {"account_number":0,"balance":16623,"firstname":"Bradshaw","lastname":"Mckenzie","age":29,"gender":"F","address":"244 Columbus Place","employer":"Euron","email":"bradshawmckenzie@euron.com","city":"Hobucken","state":"CO"} - }, { - "_index" : "bank", - "_type" : "_doc", - "_id" : "1", - "sort": [1], - "_score" : null, - "_source" : {"account_number":1,"balance":39225,"firstname":"Amber","lastname":"Duke","age":32,"gender":"M","address":"880 Holmes Lane","employer":"Pyrami","email":"amberduke@pyrami.com","city":"Brogan","state":"IL"} - }, ... + "max_score": null, + "hits": [ + { + "_index": ".ds-logs-my_app-default-2099-05-06-000001", + "_type": "_doc", + "_id": "PdjWongB9KPnaVm2IyaL", + "_score": null, + "_source": { + "@timestamp": "2099-05-08T16:25:42.000Z", + "event": { + "original": "192.0.2.255 - - [08/May/2099:16:25:42 +0000] \"GET /favicon.ico HTTP/1.0\" 200 3638" + } + }, + "sort": [ + 4081940742000 + ] + }, + ... ] } } --------------------------------------------------- -// TESTRESPONSE[s/"took" : 63/"took" : $body.took/] -// TESTRESPONSE[s/\.\.\./$body.hits.hits.2, $body.hits.hits.3, $body.hits.hits.4, $body.hits.hits.5, $body.hits.hits.6, $body.hits.hits.7, $body.hits.hits.8, $body.hits.hits.9/] - -The response also provides the following information about the search request: - -* `took` – how long it took {es} to run the query, in milliseconds -* `timed_out` – whether or not the search request timed out -* `_shards` – how many shards were searched and a breakdown of how many shards -succeeded, failed, or were skipped. -* `max_score` – the score of the most relevant document found -* `hits.total.value` - how many matching documents were found -* `hits.sort` - the document's sort position (when not sorting by relevance score) -* `hits._score` - the document's relevance score (not applicable when using `match_all`) +---- +// TESTRESPONSE[s/"took": 2/"took": $body.took/] +// TESTRESPONSE[s/"_index": ".ds-logs-my_app-default-2099-05-06-000001"/"_index": $body.hits.hits.0._index/] +// TESTRESPONSE[s/"_id": "PdjWongB9KPnaVm2IyaL"/"_id": $body.hits.hits.0._id/] +// TESTRESPONSE[s/\.\.\./$body.hits.hits.1,$body.hits.hits.2/] -Each search request is self-contained: {es} does not maintain any -state information across requests. To page through the search hits, specify -the `from` and `size` parameters in your request. +[discrete] +[[get-specific-fields]] +==== Get specific fields -For example, the following request gets hits 10 through 19: +Parsing the entire `_source` is unwieldy for large documents. To exclude it from +the response, set the `_source` parameter to `false`. Instead, use the `fields` +parameter to retrieve the fields you want. [source,console] --------------------------------------------------- -GET /bank/_search +---- +GET logs-my_app-default/_search { - "query": { "match_all": {} }, - "sort": [ - { "account_number": "asc" } + "query": { + "match_all": { } + }, + "fields": [ + "@timestamp" ], - "from": 10, - "size": 10 + "_source": false, + "sort": [ + { + "@timestamp": "desc" + } + ] } --------------------------------------------------- +---- // TEST[continued] -Now that you've seen how to submit a basic search request, you can start to -construct queries that are a bit more interesting than `match_all`. +The response contains each hit's `fields` values as a flat array. + +[source,console-result] +---- +{ + "took": 8, + "timed_out": false, + "_shards": { + "total": 1, + "successful": 1, + "skipped": 0, + "failed": 0 + }, + "hits": { + "total": { + "value": 3, + "relation": "eq" + }, + "max_score": null, + "hits": [ + { + "_index": ".ds-logs-my_app-default-2099-05-06-000001", + "_type": "_doc", + "_id": "PdjWongB9KPnaVm2IyaL", + "_score": null, + "fields": { + "@timestamp": [ + "2099-05-08T16:25:42.000Z" + ] + }, + "sort": [ + 4081940742000 + ] + }, + ... + ] + } +} +---- +// TESTRESPONSE[s/"took": 8/"took": $body.took/] +// TESTRESPONSE[s/"_index": ".ds-logs-my_app-default-2099-05-06-000001"/"_index": $body.hits.hits.0._index/] +// TESTRESPONSE[s/"_id": "PdjWongB9KPnaVm2IyaL"/"_id": $body.hits.hits.0._id/] +// TESTRESPONSE[s/\.\.\./$body.hits.hits.1,$body.hits.hits.2/] + +[discrete] +[[search-date-range]] +==== Search a date range -To search for specific terms within a field, you can use a `match` query. -For example, the following request searches the `address` field to find -customers whose addresses contain `mill` or `lane`: +To search across a specific time or IP range, use a `range` query. [source,console] --------------------------------------------------- -GET /bank/_search +---- +GET logs-my_app-default/_search { - "query": { "match": { "address": "mill lane" } } + "query": { + "range": { + "@timestamp": { + "gte": "2099-05-05", + "lt": "2099-05-08" + } + } + }, + "fields": [ + "@timestamp" + ], + "_source": false, + "sort": [ + { + "@timestamp": "desc" + } + ] } --------------------------------------------------- +---- // TEST[continued] -To perform a phrase search rather than matching individual terms, you use -`match_phrase` instead of `match`. For example, the following request only -matches addresses that contain the phrase `mill lane`: +You can use date math to define relative time ranges. The following query +searches for data from the past day, which won't match any log entries in +`logs-my_app-default`. [source,console] --------------------------------------------------- -GET /bank/_search +---- +GET logs-my_app-default/_search { - "query": { "match_phrase": { "address": "mill lane" } } + "query": { + "range": { + "@timestamp": { + "gte": "now-1d/d", + "lt": "now/d" + } + } + }, + "fields": [ + "@timestamp" + ], + "_source": false, + "sort": [ + { + "@timestamp": "desc" + } + ] } --------------------------------------------------- +---- // TEST[continued] -To construct more complex queries, you can use a `bool` query to combine -multiple query criteria. You can designate criteria as required (must match), -desirable (should match), or undesirable (must not match). +[discrete] +[[extract-fields]] +==== Extract fields from unstructured content + +You can extract <> from unstructured +content, such as log messages, during a search. -For example, the following request searches the `bank` index for accounts that -belong to customers who are 40 years old, but excludes anyone who lives in -Idaho (ID): +Use the following search to extract the `source.ip` runtime field from +`event.original`. To include it in the response, add `source.ip` to the `fields` +parameter. [source,console] --------------------------------------------------- -GET /bank/_search +---- +GET logs-my_app-default/_search { + "runtime_mappings": { + "source.ip": { + "type": "ip", + "script": """ + String sourceip=grok('%{IPORHOST:sourceip} .*').extract(doc[ "event.original" ].value)?.sourceip; + if (sourceip != null) emit(sourceip); + """ + } + }, "query": { - "bool": { - "must": [ - { "match": { "age": "40" } } - ], - "must_not": [ - { "match": { "state": "ID" } } - ] + "range": { + "@timestamp": { + "gte": "2099-05-05", + "lt": "2099-05-08" + } } - } + }, + "fields": [ + "@timestamp", + "source.ip" + ], + "_source": false, + "sort": [ + { + "@timestamp": "desc" + } + ] } --------------------------------------------------- +---- // TEST[continued] -Each `must`, `should`, and `must_not` element in a Boolean query is referred -to as a query clause. How well a document meets the criteria in each `must` or -`should` clause contributes to the document's _relevance score_. The higher the -score, the better the document matches your search criteria. By default, {es} -returns documents ranked by these relevance scores. - -The criteria in a `must_not` clause is treated as a _filter_. It affects whether -or not the document is included in the results, but does not contribute to -how documents are scored. You can also explicitly specify arbitrary filters to -include or exclude documents based on structured data. +[discrete] +[[combine-queries-sorts]] +==== Combine queries and sorts -For example, the following request uses a range filter to limit the results to -accounts with a balance between $20,000 and $30,000 (inclusive). +You can use the `bool` query to combine multiple queries. The following search +combines two `range` queries: one on `@timestamp` and one on the `source.ip` +runtime field. [source,console] --------------------------------------------------- -GET /bank/_search +---- +GET logs-my_app-default/_search { + "runtime_mappings": { + "source.ip": { + "type": "ip", + "script": """ + String sourceip=grok('%{IPORHOST:sourceip} .*').extract(doc[ "event.original" ].value)?.sourceip; + if (sourceip != null) emit(sourceip); + """ + } + }, "query": { "bool": { - "must": { "match_all": {} }, - "filter": { - "range": { - "balance": { - "gte": 20000, - "lte": 30000 + "filter": [ + { + "range": { + "@timestamp": { + "gte": "2099-05-05", + "lt": "2099-05-08" + } + } + }, + { + "range": { + "source.ip": { + "gte": "192.0.2.0", + "lte": "192.0.2.240" + } } } - } + ] } - } + }, + "fields": [ + "@timestamp", + "source.ip" + ], + "_source": false, + "sort": [ + { + "@timestamp": "desc" + } + ] } --------------------------------------------------- +---- // TEST[continued] -[[getting-started-aggregations]] -== Analyze results with aggregations +[discrete] +[[aggregate-data]] +==== Aggregate data -{es} aggregations enable you to get meta-information about your search results -and answer questions like, "How many account holders are in Texas?" or -"What's the average balance of accounts in Tennessee?" You can search -documents, filter hits, and use aggregations to analyze the results all in one -request. +Use aggregations to summarize data as metrics, statistics, or other analytics. -For example, the following request uses a `terms` aggregation to group -all of the accounts in the `bank` index by state, and returns the ten states -with the most accounts in descending order: +The following search uses an aggregation to calculate the +`average_response_size` using the `http.response.body.bytes` runtime field. The +aggregation only runs on documents that match the `query`. [source,console] --------------------------------------------------- -GET /bank/_search +---- +GET logs-my_app-default/_search { - "size": 0, + "runtime_mappings": { + "http.response.body.bytes": { + "type": "long", + "script": """ + String bytes=grok('%{COMMONAPACHELOG}').extract(doc[ "event.original" ].value)?.bytes; + if (bytes != null) emit(Integer.parseInt(bytes)); + """ + } + }, "aggs": { - "group_by_state": { - "terms": { - "field": "state.keyword" + "average_response_size":{ + "avg": { + "field": "http.response.body.bytes" } } - } + }, + "query": { + "bool": { + "filter": [ + { + "range": { + "@timestamp": { + "gte": "2099-05-05", + "lt": "2099-05-08" + } + } + } + ] + } + }, + "fields": [ + "@timestamp", + "http.response.body.bytes" + ], + "_source": false, + "sort": [ + { + "@timestamp": "desc" + } + ] } --------------------------------------------------- +---- // TEST[continued] -The `buckets` in the response are the values of the `state` field. The -`doc_count` shows the number of accounts in each state. For example, you -can see that there are 27 accounts in `ID` (Idaho). Because the request -set `size=0`, the response only contains the aggregation results. +The response’s `aggregations` object contains aggregation results. [source,console-result] --------------------------------------------------- +---- { - "took": 29, - "timed_out": false, - "_shards": { - "total": 5, - "successful": 5, - "skipped" : 0, - "failed": 0 - }, - "hits" : { - "total" : { - "value": 1000, - "relation": "eq" - }, - "max_score" : null, - "hits" : [ ] - }, + ... "aggregations" : { - "group_by_state" : { - "doc_count_error_upper_bound": 20, - "sum_other_doc_count": 770, - "buckets" : [ { - "key" : "ID", - "doc_count" : 27 - }, { - "key" : "TX", - "doc_count" : 27 - }, { - "key" : "AL", - "doc_count" : 25 - }, { - "key" : "MD", - "doc_count" : 25 - }, { - "key" : "TN", - "doc_count" : 23 - }, { - "key" : "MA", - "doc_count" : 21 - }, { - "key" : "NC", - "doc_count" : 21 - }, { - "key" : "ND", - "doc_count" : 21 - }, { - "key" : "ME", - "doc_count" : 20 - }, { - "key" : "MO", - "doc_count" : 20 - } ] + "average_response_size" : { + "value" : 12368.0 } } } --------------------------------------------------- -// TESTRESPONSE[s/"took": 29/"took": $body.took/] +---- +// TESTRESPONSE[s/\.\.\./"took": "$body.took", "timed_out": false, "_shards": "$body._shards", "hits": "$body.hits",/] +[discrete] +[[explore-more-search-options]] +==== Explore more search options -You can combine aggregations to build more complex summaries of your data. For -example, the following request nests an `avg` aggregation within the previous -`group_by_state` aggregation to calculate the average account balances for -each state. +To keep exploring, index more data to your data stream and check out <>. -[source,console] --------------------------------------------------- -GET /bank/_search -{ - "size": 0, - "aggs": { - "group_by_state": { - "terms": { - "field": "state.keyword" - }, - "aggs": { - "average_balance": { - "avg": { - "field": "balance" - } - } - } - } - } -} --------------------------------------------------- -// TEST[continued] +[discrete] +[[clean-up]] +=== Step 5. Clean up -Instead of sorting the results by count, you could sort using the result of -the nested aggregation by specifying the order within the `terms` aggregation: +When you're done, delete your test data stream and its backing indices. [source,console] --------------------------------------------------- -GET /bank/_search -{ - "size": 0, - "aggs": { - "group_by_state": { - "terms": { - "field": "state.keyword", - "order": { - "average_balance": "desc" - } - }, - "aggs": { - "average_balance": { - "avg": { - "field": "balance" - } - } - } - } - } -} --------------------------------------------------- +---- +DELETE _data_stream/logs-my_app-default +---- // TEST[continued] -In addition to basic bucketing and metrics aggregations like these, {es} -provides specialized aggregations for operating on multiple fields and -analyzing particular types of data such as dates, IP addresses, and geo -data. You can also feed the results of individual aggregations into pipeline -aggregations for further analysis. +You can also delete your test deployment. -The core analysis capabilities provided by aggregations enable advanced -features such as using machine learning to detect anomalies. +include::{es-repo-dir}/tab-widgets/quick-start-cleanup-widget.asciidoc[] -[[getting-started-next-steps]] -== Where to go from here - -Now that you've set up a cluster, indexed some documents, and run some -searches and aggregations, you might want to: +[discrete] +[[whats-next]] +=== What's next? -* {stack-gs}/get-started-elastic-stack.html#install-kibana[Dive in to the Elastic -Stack Tutorial] to install Kibana, Logstash, and Beats and -set up a basic system monitoring solution. +* Get the most out of your time series data by setting up data tiers and +{ilm-init}. See <>. -* {kibana-ref}/add-sample-data.html[Load one of the sample data sets into Kibana] -to see how you can use {es} and Kibana together to visualize your data. +* Use {fleet} and {agent} to collect logs and metrics directly from your data +sources and send them to {es}. See the +{fleet-guide}/fleet-quick-start.html[{fleet} quick start guide]. -* Try out one of the Elastic search solutions: -** https://swiftype.com/documentation/site-search/crawler-quick-start[Site Search] -** https://swiftype.com/documentation/app-search/getting-started[App Search] -** https://swiftype.com/documentation/enterprise-search/getting-started[Enterprise Search] +* Use {kib} to explore, visualize, and manage your {es} data. See the +{kibana-ref}/get-started.html[{kib} quick start guide]. diff --git a/docs/reference/images/kibana-console.png b/docs/reference/images/kibana-console.png new file mode 100644 index 0000000000000..d53a1d50c6208 Binary files /dev/null and b/docs/reference/images/kibana-console.png differ diff --git a/docs/reference/redirects.asciidoc b/docs/reference/redirects.asciidoc index 48cd0556726d3..9aec75cd9c43a 100644 --- a/docs/reference/redirects.asciidoc +++ b/docs/reference/redirects.asciidoc @@ -1524,3 +1524,28 @@ See <>. === Enrich policy definition See <>. + +[role="exclude",id="getting-started-install"] +=== Get {es} up and running + +See <>. + +[role="exclude",id="getting-started-index"] +=== Index some documents + +See <>. + +[role="exclude",id="getting-started-search"] +=== Start searching + +See <>. + +[role="exclude",id="getting-started-aggregations"] +=== Analyze results with aggregations + +See <>. + +[role="exclude",id="getting-started-next-steps"] +=== Where to go from here + +See <>. diff --git a/docs/reference/tab-widgets/api-call-widget.asciidoc b/docs/reference/tab-widgets/api-call-widget.asciidoc new file mode 100644 index 0000000000000..37f49f89847cf --- /dev/null +++ b/docs/reference/tab-widgets/api-call-widget.asciidoc @@ -0,0 +1,40 @@ +++++ +
+
+ + +
+
+++++ + +include::api-call.asciidoc[tag=cloud] + +++++ +
+ +
+++++ diff --git a/docs/reference/tab-widgets/api-call.asciidoc b/docs/reference/tab-widgets/api-call.asciidoc new file mode 100644 index 0000000000000..a6f7b59febd4a --- /dev/null +++ b/docs/reference/tab-widgets/api-call.asciidoc @@ -0,0 +1,53 @@ +// tag::cloud[] +**Use curl** + +. To communicate with {es} using curl or another client, you need your +cluster's endpoint. Go to the **Elasticsearch** page and click **Copy +endpoint**. + +. To submit an example API request, run the following curl command in a new +terminal session. Replace `` with the password for the `elastic` user. +Replace `` with your endpoint. ++ +[source,sh] +---- +curl -u elastic: / +---- +// NOTCONSOLE + +**Use {kib}** + +. Go to the *{kib}* page and click **Launch**. + +//tag::kibana-api-ex[] +. Open {kib}'s main menu and go to **Dev Tools > Console**. ++ +[role="screenshot"] +image::images/kibana-console.png[{kib} Console,align="center"] + +. Run the following example API request in the console: ++ +[source,console] +---- +GET / +---- + +//end::kibana-api-ex[] +// end::cloud[] + +// tag::self-managed[] +**Use curl** + +To submit an example API request, run the following curl command in a new +terminal session. + +[source,sh] +---- +curl -X GET http://localhost:9200/ +---- +// NOTCONSOLE + +**Use {kib}** + +include::api-call.asciidoc[tag=kibana-api-ex] +// end::self-managed[] diff --git a/docs/reference/tab-widgets/quick-start-cleanup-widget.asciidoc b/docs/reference/tab-widgets/quick-start-cleanup-widget.asciidoc new file mode 100644 index 0000000000000..2950e6a7d44f6 --- /dev/null +++ b/docs/reference/tab-widgets/quick-start-cleanup-widget.asciidoc @@ -0,0 +1,40 @@ +++++ +
+
+ + +
+
+++++ + +include::quick-start-cleanup.asciidoc[tag=cloud] + +++++ +
+ +
+++++ diff --git a/docs/reference/tab-widgets/quick-start-cleanup.asciidoc b/docs/reference/tab-widgets/quick-start-cleanup.asciidoc new file mode 100644 index 0000000000000..29c63d3ae114e --- /dev/null +++ b/docs/reference/tab-widgets/quick-start-cleanup.asciidoc @@ -0,0 +1,23 @@ + +// tag::cloud[] +Click **Delete deployment** from the deployment overview page and follow the +prompts. +// end::cloud[] + +// tag::self-managed[] +To stop your {es} and {kib} Docker containers, run: + +[source,sh] +---- +docker stop es01-test +docker stop kib01-test +---- + +To remove the containers, run: + +[source,sh] +---- +docker rm es01-test +docker rm kib01-test +---- +// end::self-managed[] diff --git a/docs/reference/tab-widgets/quick-start-install-widget.asciidoc b/docs/reference/tab-widgets/quick-start-install-widget.asciidoc new file mode 100644 index 0000000000000..25f2c8a012b80 --- /dev/null +++ b/docs/reference/tab-widgets/quick-start-install-widget.asciidoc @@ -0,0 +1,40 @@ +++++ +
+
+ + +
+
+++++ + +include::quick-start-install.asciidoc[tag=cloud] + +++++ +
+ +
+++++ diff --git a/docs/reference/tab-widgets/quick-start-install.asciidoc b/docs/reference/tab-widgets/quick-start-install.asciidoc new file mode 100644 index 0000000000000..49a618cecbb12 --- /dev/null +++ b/docs/reference/tab-widgets/quick-start-install.asciidoc @@ -0,0 +1,48 @@ + +// tag::cloud[] +include::{docs-root}/shared/cloud/ess-getting-started.asciidoc[tag=generic] +// end::cloud[] + +// tag::self-managed[] +**Install and run {es} using Docker** + +ifeval::["{release-state}"=="unreleased"] +NOTE: No Docker image is currently available for {es} {version}. +endif::[] + +ifeval::["{release-state}"!="unreleased"] + +. Install and start https://www.docker.com/products/docker-desktop[Docker +Desktop]. + +. Run: ++ +[source,sh,subs="attributes"] +---- +docker pull {docker-repo}:{version} +docker run --name es01-test -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" {docker-image} +---- +endif::[] + +**Install and run {kib} using Docker** + +To analyze, visualize, and manage {es} data using an intuitive UI, install +{kib}. + +ifeval::["{release-state}"=="unreleased"] +NOTE: No Docker image is currently available for {kib} {version}. +endif::[] +ifeval::["{release-state}"!="unreleased"] + +. In a new terminal session, run: ++ +["source","txt",subs="attributes"] +---- +docker pull docker.elastic.co/kibana/kibana:{version} +docker run --name kib01-test --link es01-test:elasticsearch -p 5601:5601 docker.elastic.co/kibana/kibana:{version} +---- + +. To access {kib}, go to http://localhost:5601[http://localhost:5601] + +endif::[] +// end::self-managed[] diff --git a/docs/src/test/resources/accounts.json b/docs/src/test/resources/accounts.json deleted file mode 100644 index 28b2b82c3f57f..0000000000000 --- a/docs/src/test/resources/accounts.json +++ /dev/null @@ -1,2000 +0,0 @@ -{"index":{"_id":"1"}} -{"account_number":1,"balance":39225,"firstname":"Amber","lastname":"Duke","age":32,"gender":"M","address":"880 Holmes Lane","employer":"Pyrami","email":"amberduke@pyrami.com","city":"Brogan","state":"IL"} -{"index":{"_id":"6"}} -{"account_number":6,"balance":5686,"firstname":"Hattie","lastname":"Bond","age":36,"gender":"M","address":"671 Bristol Street","employer":"Netagy","email":"hattiebond@netagy.com","city":"Dante","state":"TN"} -{"index":{"_id":"13"}} -{"account_number":13,"balance":32838,"firstname":"Nanette","lastname":"Bates","age":28,"gender":"F","address":"789 Madison 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