### Elasticsearch Watcher: Getting Started

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/release-notes-8.3.1

An introductory guide to using Elasticsearch Watcher for automated alerting and monitoring. It covers the basic concepts and setup.

```json
PUT _watcher/watch/my_first_watch
{
  "trigger": {
    "schedule": {
      "interval": "1m"
    }
  },
  "input": {
    "search": {
      "request": {
        "indices": [ "my-index-*" ],
        "body": {
          "query": {
            "range": {
              "@timestamp": {
                "gt": "now-1m"
              }
            }
          },
          "size": 0
        }
      }
    }
  },
  "condition": {
    "compare": {
      "ctx.payload.hits.total.value": {
        "gt": 100
      }
    }
  },
  "actions": {
    "log_message": {
      "logging": {
        "message": "High volume detected!"
      }
    }
  }
}
```

--------------------------------

### Elasticsearch Watcher Getting Started Guide

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/text-structure-apis

An introductory guide to using Elasticsearch Watcher for automated monitoring and alerting based on data in your Elasticsearch cluster.

```text
Watcher
    * Getting started with Watcher
```

--------------------------------

### Elasticsearch Watcher Getting Started

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/pipeline-processor

Basic examples for setting up and configuring watches in Elasticsearch's Watcher feature for automated alerting.

```json
PUT _watcher/watch/my_first_watch
{
  "trigger": {
    "schedule": {
      "interval": "1h"
    }
  },
  "input": {
    "search": {
      "request": {
        "indices": [
          "logstash-*"
        ],
        "body": {
          "query": {
            "match": {
              "response": 500
            }
          }
        }
      }
    }
  },
  "condition": {
    "compare": {
      "ctx.payload.hits.total": {
        "gt": 0
      }
    }
  },
  "actions": {
    "logLevel": {
      "logging": {
        "message": "Found {{ctx.payload.hits.total}} 500 errors in the last hour."
      }
    }
  }
}
```

--------------------------------

### Getting Started with Watcher

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/clear-sql-cursor-api

An introductory guide to Elasticsearch Watcher, explaining its core concepts and providing initial steps to set up and create your first watch for proactive alerting.

```json
PUT _watcher/watch/my_first_watch
{
  "trigger": {
    "schedule": { "interval": "1h" }
  },
  "input": {
    "search": {
      "request": {
        "indices": [ "logstash-*" ],
        "body": {
          "query": {
            "term": { "response.keyword": "500" }
          }
        }
      }
    }
  },
  "condition": {
    "compare": { "ctx.payload.hits.total": { "gt": 0 } }
  },
  "actions": {
    "send_email": {
      "email": {
        "to": "admins@example.com",
        "subject": "High number of 500 errors detected!",
        "body": "Found {{ctx.payload.hits.total}} 500 errors in the last hour."
      }
    }
  }
}
```

--------------------------------

### Watcher Getting Started Example

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/ml-get-record

A basic example of creating a Watcher in Elasticsearch to monitor for specific conditions and trigger actions. This serves as an introductory point for using the Watcher feature.

```elasticsearch
PUT _watcher/watch/my_first_watch
{
  "trigger": {
    "schedule": {
      "interval": "1h"
    }
  },
  "input": {
    "search": {
      "request": {
        "indices": ["logstash-*"],
        "body": {
          "query": {
            "match": {"message": "error"}
          }
        }
      }
    }
  },
  "condition": {
    "compare": {
      "ctx.payload.hits.total": {
        "gt": 0
      }
    }
  },
  "actions": {
    "log_error": {
      "logging": {
        "message": "Found an error in logs: {{ctx.payload.hits.total}}"
      }
    }
  }
}

```

--------------------------------

### Watcher - Getting Started Example

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/trb-security-saml

A basic example of an Elasticsearch Watcher configuration. It demonstrates how to define a trigger (e.g., interval), an input (e.g., a search query), and an action (e.g., logging a message).

```json
PUT _watcher/watch/my_first_watch
{
  "trigger": {
    "schedule": {
      "interval": "1m"
    }
  },
  "input": {
    "search": {
      "request": {
        "indices": ["logs-*"],
        "body": {
          "query": {
            "match": {"message": "error"}
          }
        }
      }
    }
  },
  "actions": {
    "log_error": {
      "logging": {
        "text": "Found an error: {{ctx.payload.hits.total.value}}"
      }
    }
  }
}
```

--------------------------------

### Elasticsearch Watcher: Getting Started with Watcher

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/release-notes-8.5.2

This guide provides an introduction to Elasticsearch Watcher. It covers the basic concepts and steps required to set up and use Watcher for automated alerting and actions based on data changes.

```json
PUT _watcher/watch/my_first_watch
{
  "trigger": {
    "schedule": {
      "interval": "1h"
    }
  },
  "input": {
    "search": {
      "request": {
        "indices": ["logstash-*"],
        "body": {
          "query": {
            "range": {
              "@timestamp": {
                "gt": "now-1h/h",
                "lt": "now/h"
              }
            }
          },
          "aggs": {
            "errors": {
              "terms": {
                "field": "level",
                "include": "error"
              }
            }
          }
        }
      }
    }
  },
  "condition": {
    "compare": {
      "ctx.payload.aggregations.errors.buckets.length": {
        "gt": 0
      }
    }
  },
  "actions": {
    "send_email": {
      "email": {
        "to": "admin@example.com",
        "subject": "High Error Rate Detected",
        "body": "An increased number of errors were found in the last hour."
      }
    }
  }
}

```

--------------------------------

### Elasticsearch Watcher: Getting Started

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/query-dsl-span-within-query

This provides a conceptual overview of getting started with Elasticsearch Watcher. It involves defining watches that trigger actions based on data in Elasticsearch.

```json
# Create a simple watch to alert on high error rates
PUT _watcher/watch/high_error_rate_alert
{
  "trigger": {
    "schedule": {
      "interval": "1h"
    }
  },
  "input": {
    "search": {
      "request": {
        "indices": ["my-logs-2023*"],
        "body": {
          "query": {
            "term": {
              "level": "error"
            }
          },
          "size": 0
        }
      }
    }
  },
  "condition": {
    "compare": {
      "ctx.payload.hits.total": {
        "gt": 100
      }
    }
  },
  "actions": {
    "send_email": {
      "email": {
        "to": "admin@example.com",
        "subject": "High Error Rate Detected!",
        "body": "Error count in the last hour: {{ctx.payload.hits.total.value}}"
      }
    }
  }
}
```

--------------------------------

### Install Elasticsearch Service on Windows

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/zip-windows

Installs Elasticsearch as a Windows service using the `elasticsearch-service.bat install` command. It shows example output indicating the service name and the `ES_JAVA_HOME` value used during installation. This process enables Elasticsearch to run in the background or start automatically on boot.

```batch
C:\Program Files\elasticsearch-8.19.7\bin>elasticsearch-service.bat install
Installing service      :  "elasticsearch-service-x64"
Using ES_JAVA_HOME (64-bit):  "C:\jvm\jdk1.8"
The service 'elasticsearch-service-x64' has been installed.

```

--------------------------------

### Configuring Elasticsearch Watcher Getting Started

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/overview-index-lifecycle-management

This provides an introductory example of setting up an Elasticsearch Watcher to periodically check for specific conditions and trigger actions. It includes defining a watch with a schedule, input, condition, and actions.

```json
PUT _watcher/watch/my_first_watch
{
  "trigger": {
    "schedule": {
      "interval": "1h"
    }
  },
  "input": {
    "search": {
      "request": {
        "indices": ["my-index-*"],
        "body": {
          "query": {
            "match": {
              "status": "error"
            }
          }
        }
      }
    }
  },
  "condition": {
    "compare": {
      "ctx.payload.hits.total": {
        "gt": 0
      }
    }
  },
  "actions": {
    "log_error": {
      "logging": {
        "text": "Found errors in my-index-*"
      }
    }
  }
}
```

--------------------------------

### Watcher Getting Started Example

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/input-chain

A basic example demonstrating how to create a simple Watch in Elasticsearch using the Watcher feature. This watch could trigger an action based on a condition.

```json
PUT _watcher/watch/my_first_watch
{
  "trigger": {
    "schedule": { "interval": "1m" }
  },
  "input": {
    "search": {
      "request": {
        "indices": ["logstash-*"],
        "body": {
          "query": {
            "match": { "message": "error" }
          }
        }
      }
    }
  },
  "condition": {
    "compare": {
      "ctx.payload.hits.total": {"gt": 0}
    }
  },
  "actions": {
    "log_it": {
      "logging": {
        "message": "Found {{ctx.payload.hits.total}} errors."
      }
    }
  }
}
```

--------------------------------

### Clone Elastic Connectors Repository (Git)

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/es-postgresql-connector-client-tutorial

This command clones the Elastic Connectors repository locally, which contains the necessary framework and example configuration files for setting up self-managed connectors. Use this as a starting point for your connector setup.

```bash
git clone https://github.com/elastic/connectors
```

--------------------------------

### ES|QL Reference

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/ciphers

Comprehensive guide to ES|QL, covering getting started, syntax, commands, functions, operators, and usage across different interfaces.

```APIDOC
## ES|QL (Elasticsearch SQL)

### Description
Documentation for ES|QL, a query language for Elasticsearch.

### Getting Started
*   Getting started

### ES|QL Reference
*   Syntax reference
*   Commands
*   Functions and operators
*   Metadata fields
*   Multivalued fields
*   Data processing with DISSECT and GROK
*   Correlate data with LOOKUP JOIN
*   Data enrichment
*   Implicit casting
*   Time spans

### Using ES|QL
*   REST API
*   Using ES|QL for search
*   Using ES|QL in Kibana
*   Using ES|QL in Elastic Security
*   Using ES|QL to query multiple indices
*   Using ES|QL across clusters
*   Task management

### Limitations
*   Limitations
```

--------------------------------

### Elasticsearch Transform: Setup Example

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/query-dsl-span-within-query

This example demonstrates setting up an Elasticsearch transform to aggregate data from one index into another. It defines the source index, destination index, and the transformation logic.

```json
PUT _transform/my_transform_id
{
  "source": {
    "index": "my_data_index"
  },
  "dest": {
    "index": "my_transformed_index"
  },
  "frequency": "1h",
  "sync": {
    "time": {
      "field": "timestamp",
      "delay": "10m"
    }
  },
  "pivot": {
    "group_by": {
      "user.id": {
        "terms": {
          "field": "user.id"
        }
      }
    },
    "aggregations": {
      "total_amount": {
        "sum": {
          "field": "transaction.amount"
        }
      },
      "avg_amount": {
        "avg": {
          "field": "transaction.amount"
        }
      }
    }
  }
}
```

--------------------------------

### SQL: Overview and Getting Started

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/query-dsl-match-all-query

An introduction to using SQL with Elasticsearch. This covers the basic concepts and how to get started with querying Elasticsearch data using SQL syntax.

```sql
SELECT * FROM "my-index-*" WHERE "response.keyword" = '200'
LIMIT 10;
```

--------------------------------

### Index and Search using Elasticsearch APIs (Basic)

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/ilm-shrink

A simple example of indexing a document and then searching for it using Elasticsearch's RESTful APIs. This is a foundational example for interacting with Elasticsearch programmatically, suitable for quick starts.

```json
# Index a document
POST /my-test-index/_doc
{
  "title": "My First Document",
  "content": "This is the content of my first document."
}

# Search for the document
GET /my-test-index/_search
{
  "query": {
    "match": {
      "content": "first document"
    }
  }
}
```

--------------------------------

### Docker Compose Quickstart for Connectors

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/esql-enrich-data

A quickstart guide for setting up and running Elasticsearch connectors using Docker Compose. This simplifies the deployment and testing of connectors in a local environment.

```YAML
# Example docker-compose.yml snippet for a connector
version: '3.7'
services:
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:8.11.0
    # ... other elasticsearch configurations ...
  connector_service:
    image: docker.elastic.co/connectors/connector-mongodb:8.11.0
    environment:
      ELASTIC_APM_SERVER_URL: "http://apm-server:8200"
    depends_on:
      - elasticsearch
```

--------------------------------

### Elasticsearch Watcher Getting Started Example

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/security-api-authenticate

A basic example of creating an Elasticsearch Watcher to trigger an action based on a scheduled query. Watcher allows you to automate tasks and receive alerts based on cluster data.

```json
PUT _watcher/watch/my_first_watch
{
  "trigger": {
    "schedule": {
      "interval": "1h"
    }
  },
  "input": {
    "search": {
      "request": {
        "indices": ["logstash-*"],
        "body": {
          "query": {
            "bool": {
              "must": [
                {
                  "range": {
                    "@timestamp": {
                      "gte": "now-1h/m",
                      "lt": "now/m"
                    }
                  }
                },
                {
                  "term": {
                    "level.keyword": "ERROR"
                  }
                }
              ]
            }
          }
        }
      }
    }
  },
  "condition": {
    "compare": {
      "ctx.payload.hits.total": {
        "gt": 5
      }
    }
  },
  "actions": {
    "send_email": {
      "email": {
        "to": "admin@example.com",
        "subject": "High error count detected!",
        "body": "There have been {{ctx.payload.hits.total}} errors in the last hour."
      }
    }
  }
}
```

--------------------------------

### Connectors: Docker Compose Quickstart

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/ml-get-influencer

A quickstart guide for setting up and running Elasticsearch connectors using Docker Compose. This simplifies the orchestration of multiple Docker containers.

```yaml
# Example docker-compose.yml for a connector
version: '3.7'
services:
  connector:
    image: <connector-image-name>
    ports:
      - "8080:8080"
```

--------------------------------

### Query X-Pack Info API (Python, Ruby, JavaScript, HTTP)

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/info-api

This example demonstrates how to query the general X-Pack info API in Python, Ruby, and JavaScript, as well as a direct HTTP GET request. It retrieves all available information about installed X-Pack features and license status. Ensure the Elasticsearch client library is installed and configured.

```python
resp = client.xpack.info()
print(resp)
```

```ruby
response = client.xpack.info
puts response
```

```javascript
const response = await client.xpack.info();
console.log(response);
```

```http
GET /_xpack
```

--------------------------------

### Elasticsearch Transform Setup Example

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/sql-search-api

A basic JSON configuration for setting up an Elasticsearch data transform job. This example defines the source index, the destination index, and the aggregations to be performed.

```json
{
  "source": {
    "index": "ecommerce-data-*"
  },
  "dest": {
    "index": "ecommerce-summary"
  },
  "pivot": {
    "group_by": {
      "product_id": {"terms": {"field": "product_id"}},
      "timestamp": {"date_histogram": {"field": "@timestamp", "fixed_interval": "1h"}}
    },
    "aggregations": {
      "total_sales": {"sum": {"field": "total_sales"}},
      "avg_quantity": {"avg": {"field": "quantity"}}
    }
  }
}
```

--------------------------------

### Watcher: Getting started

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/remote-clusters

An introduction to Watcher, Elasticsearch's alerting and notification feature, explaining its basic concepts and setup.

```APIDOC
## Watcher

### Getting started with Watcher
Provides an introductory guide to Watcher, covering its core functionality and initial setup steps.

### How Watcher works
Explains the internal mechanisms and workflow of the Watcher alerting system.
```

--------------------------------

### Watcher Getting Started

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/allocation-total-shards

This snippet provides a conceptual overview of getting started with Watcher in Elasticsearch. Watcher allows you to define alerts based on data conditions.

```markdown
1. **Define a Watch:** Create a JSON document specifying the trigger, input, condition, and actions.
2. **Schedule the Watch:** Use cron-like syntax to define when the watch should run.
3. **Configure Input:** Specify the Elasticsearch query or other data source.
4. **Set Condition:** Define the criteria that must be met for actions to execute.
5. **Define Actions:** Specify what should happen (e.g., send an email, log a message).
```

--------------------------------

### Elasticsearch Watcher Getting Started

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/mapping-types

Introduces Elasticsearch Watcher, a feature for automating alerts and actions based on data in Elasticsearch. Covers basic setup, creating simple watches, and understanding the core components.

```json
{
  "trigger": {
    "schedule": {
      "interval": "1m"
    }
  },
  "input": {
    "search": {
      "request": {
        "indices": ["logs-*"]
      }
    }
  },
  "condition": {
    "compare": {
      "ctx.payload.hits.total": {
        "gt": 1000
      }
    }
  },
  "actions": {
    "log_high_count": {
      "logging": {
        "text": "High log count detected: {{ctx.payload.hits.total}}"
      }
    }
  }
}
```

--------------------------------

### Elasticsearch Watcher: Getting Started

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/query-dsl-terms-query

This snippet provides a basic example of creating a Watcher in Elasticsearch. Watcher allows you to automate alerts and actions based on data in your cluster.

```json
PUT _watcher/watch/my_first_watch
{
  "trigger": {
    "schedule": {
      "interval": "1h"
    }
  },
  "input": {
    "search": {
      "request": {
        "indices": ["my-index"],
        "body": {
          "query": {
            "match": {"status": "error"}
          }
        }
      }
    }
  },
  "condition": {
    "compare": {
      "ctx.payload.hits.total": {
        "gt": 0
      }
    }
  },
  "actions": {
    "send_email": {
      "email": {
        "to": "admin@example.com",
        "subject": "High number of errors detected!",
        "body": "See attached details."
      }
    }
  }
}

```

--------------------------------

### GET /_cat/plugins

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/getting-started-snapshot-lifecycle-management

Displays installed plugins on each node using the cat API.

```APIDOC
## GET /_cat/plugins

### Description
Displays installed plugins.

### Method
GET

### Endpoint
/_cat/plugins

### Parameters
None

### Request Example
```json
{}
```

### Response
#### Success Response (200)
- **response** (string) - Tabular information about installed plugins.

#### Response Example
```
node                    component  name               version  type  description
Jg3Fk3aOT0G-p4hS05i9ew   ingest     ingest-attachment  8.19.0   plugin Ingest attachment processor
```
```

--------------------------------

### Elasticsearch Data Transformation: Setup Example

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/vector-queries

This configuration demonstrates the basic setup for an Elasticsearch data transform. Transforms allow you to preprocess and aggregate data into new indices for analysis.

```json
PUT _transform/my_transform_id
{
  "source": {
    "index": "my-source-index"
  },
  "dest": {
    "index": "my-destination-index"
  },
  "pivot": {
    "group_by": {
      "user_id": "term",
      "timestamp": "date_histogram",
      "interval": "1h"
    },
    "aggregations": {
      "total_revenue": "sum_of_price"
    }
  }
}
```

--------------------------------

### SQL Interface for Elasticsearch

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/migration-api

Guides users on interacting with Elasticsearch using standard SQL. Covers getting started, conventions, security, and the SQL REST API for executing queries and retrieving data.

```text
* SQL
  * Overview
  * Getting Started with SQL
  * Conventions and Terminology
    * Mapping concepts across SQL and Elasticsearch
  * Security
  * SQL REST API
    * Overview
    * Response Data Formats
    * Paginating through a large response
    * Filtering using Elasticsearch Query DSL
    * Columnar results
    * Passing parameters to a query
    * Use runtime fields
    * Run an async SQL search
  * SQL Translate API
  * SQL CLI
  * SQL JDBC
    * API usage
  * SQL ODBC
    * Driver installation
    * Configuration
  * SQL Client Applications
    * DBeaver
    * DbVisualizer
    * Microsoft Excel
    * Microsoft Power BI Desktop
    * Microsoft PowerShell
    * MicroStrategy Desktop
    * Qlik Sense Desktop
    * SQuirreL SQL
    * SQL Workbench/J
    * Tableau Desktop
    * Tableau Server
```

--------------------------------

### GET /_cat/plugins

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/security-basic-setup-https

Lists installed plugins using the cat API.

```APIDOC
## GET /_cat/plugins

### Description
Lists installed plugins.

### Method
GET

### Endpoint
/_cat/plugins

### Parameters
#### Request Body
None

### Request Example
```json
{}
```

### Response
#### Success Response (200)
- **plugins** (array) - Array of plugin information.

#### Response Example
```json
[ {
    "node": "node1",
    "component": "plugin",
    "name": "plugin1",
    "version": "1.0",
    "description": "plugin description",
    "classname": "plugin.class",
    "extended_plugins": "plugin2,plugin3"
  }
]
```
```

--------------------------------

### GET /_cat/plugins

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/query-dsl-prefix-query

Displays information about installed plugins.

```APIDOC
## GET /_cat/plugins

### Description
Displays information about installed plugins.

### Method
GET

### Endpoint
/_cat/plugins

### Parameters
None

### Request Example
None

### Response
#### Success Response (200)
- **plugins_info** (array) - An array of objects with plugin details.

#### Response Example
```json
[
  {
    "node": "node1",
    "component": "plugin_name",
    "version": "1.0.0"
  }
]
```
```

--------------------------------

### Install Elasticsearch from Archive on Linux or MacOS

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/ilm-shrink

Instructions for installing Elasticsearch using the archive distribution on Linux and MacOS. This method involves downloading a tarball and extracting it, providing flexibility in installation location. It's suitable for users who prefer manual control over the installation process.

```bash
# Download the archive
curl -O https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-8.19.0-linux-x86_64.tar.gz

# Verify the integrity of the download
sudo sh -c 'echo "YOUR_DOWNLOADED_SHA512SUM  elasticsearch-8.19.0-linux-x86_64.tar.gz" | sha512sum -c -'

# Extract the archive
tar -xzf elasticsearch-8.19.0-linux-x86_64.tar.gz
```

--------------------------------

### ES|QL

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/docs-delete

Comprehensive guide to ES|QL, a powerful query language for Elasticsearch, covering its getting started guide, reference, and usage in various contexts like REST API and Kibana.

```APIDOC
## ES|QL

### Description
Detailed documentation for ES|QL, a versatile query language for Elasticsearch. It includes getting started instructions, a full reference of syntax, commands, functions, operators, and examples of how to use ES|QL with the REST API, Kibana, and Elastic Security.

### Getting started

### ES|QL reference

*   Syntax reference
*   Commands
*   Functions and operators
*   Metadata fields
*   Multivalued fields
*   Data processing with DISSECT and GROK
*   Correlate data with LOOKUP JOIN
*   Data enrichment
*   Implicit casting
*   Time spans

### Using ES|QL

*   REST API
*   Using ES|QL for search
*   Using ES|QL in Kibana
*   Using ES|QL in Elastic Security
*   Using ES|QL to query multiple indices
*   Using ES|QL across clusters
*   Task management

### Limitations

### Examples
```

--------------------------------

### GET /_cat/plugins

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/search-aggregations-metrics-max-aggregation

Provides information about installed plugins in a compact, human-readable format.

```APIDOC
## GET /_cat/plugins

### Description
Provides information about installed plugins in a compact, human-readable format.

### Method
GET

### Endpoint
/_cat/plugins

### Parameters
None

### Request Example
```json
{}
```

### Response
#### Success Response (200)
- **plugins** (array) - An array of installed plugins.

#### Response Example
```json
[
  {
    "node": "node1",
    "component": "analysis-icu",
    "version": "8.19.0",
    "name": "analysis-icu"
  }
]
```
```

--------------------------------

### Start Elasticsearch with Security Enabled

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/ml-get-record

This command demonstrates how to start the Elasticsearch cluster with security features enabled automatically. It simplifies the initial setup of security configurations.

```bash
bin/elasticsearch-setup-passwords auto
bin/elasticsearch -d -p pidfile

```

--------------------------------

### Start Elasticsearch Instance

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/security-minimal-setup

Starts an Elasticsearch instance using the provided command. This is a prerequisite for resetting user passwords.

```bash
./bin/elasticsearch
```

--------------------------------

### Elasticsearch Data Transformation Setup

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/recipes

Provides guidance on setting up and using data transformations in Elasticsearch. It covers the overview, when to use transforms, generating alerts, scaling transforms, and how checkpoints function. Includes a tutorial for sample data transformation.

```text
Overview
Setup
When to use transforms
Generating alerts for transforms
Transforms at scale
How checkpoints work
API quick reference
Tutorial: Transforming the eCommerce sample data
Painless examples
Limitations
```

--------------------------------

### Elasticsearch Watcher: Getting Started Example

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/search-aggregations-metrics-extendedstats-aggregation

A basic example of an Elasticsearch Watcher, configured to trigger an action (e.g., logging a message) when a specific condition is met. Watcher automates alerts and actions based on data in Elasticsearch.

```json
PUT _watcher/watch/my_simple_watch
{
  "trigger": {
    "schedule": {
      "interval": "1h"
    }
  },
  "input": {
    "search": {
      "request": {
        "indices": ["my-index-2023*"],
        "body": {
          "query": {
            "match": {"status": "error"}
          }
        }
      }
    }
  },
  "condition": {
    "compare": {
      "ctx.payload.hits.total": {
        "gt": 0
      }
    }
  },
  "actions": {
    "log_error": {
      "logging": {
        "level": "info",
        "message": "Found {{ctx.payload.hits.total}} errors in the last hour."
      }
    }
  }
}
```

--------------------------------

### Command line tools

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/sql-odbc-setup

Documentation for various Elasticsearch command-line tools.

```APIDOC
## Command line tools

### elasticsearch-certgen

Generates SSL certificates for Elasticsearch.

### elasticsearch-certutil

Utility for generating certificates.

### elasticsearch-create-enrollment-token

Creates an enrollment token for Elasticsearch nodes.

### elasticsearch-croneval

Evaluates cron expressions.

### elasticsearch-keystore

Manages the Elasticsearch keystore.

### elasticsearch-node

Manages Elasticsearch nodes.

### elasticsearch-reconfigure-node

Reconfigures an Elasticsearch node.

### elasticsearch-reset-password

Resets user passwords in Elasticsearch.

### elasticsearch-saml-metadata

Generates SAML metadata for Elasticsearch.

### elasticsearch-service-tokens

Manages Elasticsearch service tokens.

### elasticsearch-setup-passwords

Sets up initial passwords for Elasticsearch users.

### elasticsearch-shard

Manages Elasticsearch shards.

### elasticsearch-syskeygen

Generates system keys.

### elasticsearch-users

Manages Elasticsearch users.
```

--------------------------------

### GET /_cat/plugins

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/analysis-analyzers

Provides information about installed plugins in a compact, human-readable format.

```APIDOC
## GET /_cat/plugins

### Description
Provides information about installed plugins in a compact, human-readable format.

### Method
GET

### Endpoint
/_cat/plugins

### Parameters
None

### Request Example
```json
{}
```

### Response
#### Success Response (200)
- **data** (string) - Tabular data representing the installed plugins.

#### Response Example
```json
"name                     component            version  description                                                type"
```
```

--------------------------------

### Install Elasticsearch with .zip on Windows

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/ilm-shrink

Steps for installing Elasticsearch on Windows using the .zip archive. This is a straightforward method for Windows users, involving downloading and extracting the archive. It allows for easy installation without relying on package managers.

```powershell
# Download the archive
Invoke-WebRequest -Uri https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-8.19.0-windows-x86_64.zip -OutFile elasticsearch-8.19.0-windows-x86_64.zip

# Extract the archive
Expand-Archive elasticsearch-8.19.0-windows-x86_64.zip -DestinationPath "C:\Program Files\Elasticsearch"
```

--------------------------------

### ES|QL REST API

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/query-dsl-match-all-query

Information regarding the ES|QL REST API, including getting started, reference, and usage examples.

```APIDOC
## ES|QL REST API

### Description
This section covers the ES|QL REST API, detailing its capabilities for querying and managing data within Elasticsearch using the ES|QL language.

### Method
GET, POST (for various ES|QL operations)

### Endpoint
`/esql` (Conceptual - specific endpoints would be detailed in API tutorial)

### Parameters
#### Query Parameters
- **pretty** (boolean) - Optional - Returns pretty-printed JSON.
- **format** (string) - Optional - Specifies the response format (e.g., `json`, `txt`).

#### Request Body
(Varies depending on the specific ES|QL operation. Typically contains the ES|QL query.)

### Request Example
```json
{
  "query": "SELECT * FROM \"my-index\" WHERE \"column_name\" = \"some_value\""
}
```

### Response
#### Success Response (200)
- **data** (array) - The results of the ES|QL query.
- **rows** (integer) - The number of rows returned.
- **columns** (array) - Metadata about the columns in the result set.

#### Response Example
```json
{
  "data": [
    ["value1", "value2"]
  ],
  "rows": 1,
  "columns": [
    {
      "name": "column_name_1",
      "type": "string"
    },
    {
      "name": "column_name_2",
      "type": "integer"
    }
  ]
}
```
```

--------------------------------

### Set Up Basic Security

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/sparse-vector

This section details the process of setting up basic security in Elasticsearch, which includes enabling security, configuring users, and potentially setting up TLS/SSL.

```bash
# Enable security in elasticsearch.yml
xpack.security.enabled: true

# Set passwords for built-in users
bin/elasticsearch-setup-passwords interactive

# Configure realms (e.g., native, file-based) in elasticsearch.yml
# xpack.security.authc.realms.native.native_auth:
#   type: native
#   order: 0

```

--------------------------------

### Configuring Elasticsearch Watcher Basics

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/recipes

Introduces the fundamentals of Elasticsearch Watcher, an alerting tool. It covers getting started with Watcher and explaining its core operational mechanisms.

```text
Getting started with Watcher
How Watcher works
```

--------------------------------

### Enable and Manage Elasticsearch Service with systemd

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/starting-elasticsearch

Commands to enable Elasticsearch to start on boot, and to start and stop the service manually. These operations provide no direct success feedback, with status reported in log files.

```bash
sudo /bin/systemctl daemon-reload
sudo /bin/systemctl enable elasticsearch.service

sudo systemctl start elasticsearch.service
sudo systemctl stop elasticsearch.service
```

--------------------------------

### Troubleshooting: Setup-passwords Command Failure

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/sparse-vector

This guide provides solutions for failures encountered when running the `elasticsearch-setup-passwords` command, often related to network connectivity or security settings.

```text
Common error: "Connection failure while trying to access Elasticsearch cluster."

Troubleshooting steps:
1. Ensure Elasticsearch is running and accessible on the specified host and port.
2. Verify `network.host` and `http.port` settings in `elasticsearch.yml`.
3. Check if security is enabled (`xpack.security.enabled: true`) and if you are using the correct bootstrap password if prompted.
4. If using TLS/SSL, ensure the `setup-passwords` command is configured to trust the Elasticsearch node's certificate or is using appropriate protocols.
5. Check Elasticsearch logs for more detailed error messages.

```

--------------------------------

### Get Calendar Events (cURL)

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/ml-get-calendar-event

An example using cURL to fetch scheduled events from a specific calendar. This request can be extended with query parameters like 'start' and 'end' for time-based filtering.

```bash
GET _ml/calendars/planned-outages/events
```

```bash
GET _ml/calendars/planned-outages/events?start=1635638400000&end=1635724800000
```

--------------------------------

### Start Elasticsearch from Command Line (.tar.gz)

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/starting-elasticsearch

This command starts Elasticsearch directly from the terminal when installed via a .tar.gz package. It automatically enables security features, generates credentials, and outputs them to the console. Elasticsearch will run in the foreground.

```bash
./bin/elasticsearch

```

--------------------------------

### Start Elasticsearch Service on Windows

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/zip-windows

Starts the installed Elasticsearch service on Windows using the `elasticsearch-service.bat start` command. By default, authentication is enabled when the service starts. This command assumes Elasticsearch has already been installed as a service.

```batch
C:\Program Files\elasticsearch-8.19.7\bin>bin\elasticsearch-service.bat start

```

--------------------------------

### SQL Support in Elasticsearch

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/docs-delete

Information on using SQL with Elasticsearch, including an overview, getting started guide, security considerations, and details on the SQL REST API, Translate API, and client applications.

```APIDOC
## SQL

### Description
This section covers the SQL support in Elasticsearch, offering an overview, getting started guide, and detailed information on how to use SQL for querying and data analysis. It includes specifics on the SQL REST API, SQL Translate API, and integration with various SQL client applications.

### Overview

### Getting Started with SQL

### Conventions and Terminology

*   Mapping concepts across SQL and Elasticsearch

### Security

### SQL REST API

*   Overview
*   Response Data Formats
*   Paginating through a large response
*   Filtering using Elasticsearch Query DSL
*   Columnar results
*   Passing parameters to a query
*   Use runtime fields
*   Run an async SQL search

### SQL Translate API

### SQL CLI

### SQL JDBC

*   API usage

### SQL ODBC

*   Driver installation
*   Configuration

### SQL Client Applications

*   DBeaver
*   DbVisualizer
*   Microsoft Excel
*   Microsoft Power BI Desktop
*   Microsoft PowerShell
*   MicroStrategy Desktop
*   Qlik Sense Desktop
*   SQuirreL SQL
*   SQL Workbench/J
*   Tableau Desktop
*   Tableau Server

### SQL Language

*   Lexical Structure
*   SQL Commands
    *   DESCRIBE TABLE
    *   SELECT
    *   SHOW CATALOGS
    *   SHOW COLUMNS
    *   SHOW FUNCTIONS
    *   SHOW TABLES
*   Data Types
*   Index patterns
*   Frozen Indices

### Functions and Operators

*   Comparison Operators
*   Logical Operators
*   Math Operators
*   Cast Operators
*   LIKE and RLIKE Operators
*   Aggregate Functions
*   Grouping Functions
*   Date/Time and Interval Functions and Operators
*   Full-Text Search Functions
*   Mathematical Functions
*   String Functions
*   Type Conversion Functions
*   Geo Functions
*   Conditional Functions And Expressions
*   System Functions

### Reserved keywords

### SQL Limitations
```

--------------------------------

### Watcher: Getting Started

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/sql-client-apps-powerbi

An introduction to Watcher, explaining its core concepts and how to begin using it for automated alerting.

```APIDOC
## Watcher: Getting Started

This section provides an introduction to Watcher, explaining its purpose and guiding users through their first steps in setting up automated alerts and actions.

### Core Concepts
- **Watches**: Scheduled or triggered jobs that execute a query, compare results against conditions, and perform actions.
- **Triggers**: Define when a watch should execute (e.g., periodically, on an input change).
- **Input**: The data source for a watch, typically an Elasticsearch query.
- **Condition**: A check performed on the input data to determine if actions should be executed.
- **Actions**: Tasks performed when the condition is met (e.g., sending an email, logging a message, calling a webhook).

### First Watch Example

**Description**: A simple example of a watch that triggers an alert if the number of documents in an index exceeds a certain threshold.

**Method**: POST

**Endpoint**: `/_watcher/watch/<watch_id>`

**Request Body Example**:

```json
{
  "trigger": {
    "schedule": {
      "interval": "1m"
    }
  },
  "input": {
    "search": {
      "request": {
        "indices": ["my-index"],
        "body": {
          "query": {
            "match_all": {}
          }
        }
      }
    }
  },
  "condition": {
    "compare": {
      "ctx.payload.hits.total": {
        "gt": 1000
      }
    }
  },
  "actions": {
    "log_message": {
      "logging": {
        "message": "High document count detected in my-index! Total: {{ctx.payload.hits.total}}"
      }
    }
  }
}
```
```

--------------------------------

### Running Connectors from Source Code

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/query-dsl-fuzzy-query

Instructions on how to run Elastic connectors directly from their source code. This involves setting up the environment and executing the connector.

```shell
git clone <connector_repository_url>
cd <connector_directory>
pip install -r requirements.txt
python main.py --config <config_file_path>
```

--------------------------------

### Elastic Managed Connectors Tutorial

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/migration-api

Details the process of using Elastic's managed connector services, with a specific tutorial example for MongoDB integration. This simplifies data ingestion from supported sources.

```text
* Managed connector tutorial (MongoDB)
```

--------------------------------

### Getting Started with Watcher

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/security-api-enable-user

Provides initial steps and basic concepts for using the Elasticsearch Watcher feature, which allows you to automate alerts and actions based on data in your cluster.

```json
PUT _watcher/watch/my_first_watch
{
  "trigger": {
    "schedule": {
      "interval": "1h"
    }
  },
  "input": {
    "search": {
      "request": {
        "indices": ["logs-*"],
        "body": {
          "query": {
            "match": {"message": "error"}
          }
        }
      }
    }
  },
  "condition": {
    "compare": {
      "ctx.payload.hits.total": {
        "gt": 10
      }
    }
  },
  "actions": {
    "log_error": {
      "logging": {
        "message": "High number of errors detected: {{ctx.payload.hits.total}}"
      }
    }
  }
}
```

--------------------------------

### Get X-Pack Usage (JavaScript)

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/usage-api

Asynchronously retrieves X-Pack usage statistics with the Elasticsearch JavaScript client. This example uses `async/await` to call the `client.xpack.usage()` method and logs the result to the console. The `elasticsearch` package must be installed.

```javascript
const response = await client.xpack.usage();
console.log(response);
```

--------------------------------

### Get Elasticsearch PID from File and Terminate

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/stopping-elasticsearch

This example shows how to start Elasticsearch in the background, writing its PID to a file, and then using that PID to send a SIGTERM signal for an orderly shutdown. This is a common method for automated or remote management.

```bash
$ ./bin/elasticsearch -p /tmp/elasticsearch-pid -d
$ cat /tmp/elasticsearch-pid && echo
15516
$ kill -SIGTERM 15516
```

--------------------------------

### Elasticsearch Startup Timeout Log Example (systemd)

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/starting-elasticsearch

Example logs demonstrating a startup timeout scenario with older systemd versions. The Elasticsearch logs show a normal stopping sequence, while systemd logs indicate a startup timeout and failure.

```log
[2022-01-31T01:22:31,077][INFO ][o.e.n.Node               ] [instance-0000000123] starting ...
...
[2022-01-31T01:37:15,077][INFO ][o.e.n.Node               ] [instance-0000000123] stopping ...

Jan 31 01:22:30 debian systemd[1]: Starting Elasticsearch...
Jan 31 01:37:15 debian systemd[1]: elasticsearch.service: Start operation timed out. Terminating.
Jan 31 01:37:15 debian systemd[1]: elasticsearch.service: Main process exited, code=killed, status=15/TERM
Jan 31 01:37:15 debian systemd[1]: elasticsearch.service: Failed with result 'timeout'.
Jan 31 01:37:15 debian systemd[1]: Failed to start Elasticsearch.
```

--------------------------------

### Set Up Minimal Security

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/sparse-vector

This guide outlines the steps to set up minimal security in Elasticsearch, typically involving enabling security and setting initial passwords for built-in users.

```bash
# Enable security in elasticsearch.yml
xpack.security.enabled: true

# Run the setup-passwords command
bin/elasticsearch-setup-passwords auto

```

--------------------------------

### Command line tools

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/security-basic-setup-https

Documentation for various Elasticsearch command-line tools.

```APIDOC
## Command line tools

### elasticsearch-certgen

Generates certificates for Elasticsearch.

### elasticsearch-certutil

Utility for generating certificates.

### elasticsearch-create-enrollment-token

Creates enrollment tokens.

### elasticsearch-croneval

Evaluates cron expressions.

### elasticsearch-keystore

Manages the Elasticsearch keystore.

### elasticsearch-node

Manages Elasticsearch nodes.

### elasticsearch-reconfigure-node

Reconfigures an Elasticsearch node.

### elasticsearch-reset-password

Resets user passwords.

### elasticsearch-saml-metadata

Generates SAML metadata.

### elasticsearch-service-tokens

Manages service tokens.

### elasticsearch-setup-passwords

Sets up default passwords.

### elasticsearch-shard

Manages Elasticsearch shards.

### elasticsearch-syskeygen

Generates system keys.

### elasticsearch-users

Manages Elasticsearch users.

```

--------------------------------

### Example Response for ILM Explain API

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/getting-started-index-lifecycle-management

Illustrates a typical JSON response from the Elasticsearch ILM explain API, detailing the state of a specific index's lifecycle management. It shows the index's phase, age, and current action.

```json
{
  "indices": {
    ".ds-timeseries-2099.03.07-000001": {
      "index": ".ds-timeseries-2099.03.07-000001",
      "index_creation_date_millis": 1538475653281,
      "time_since_index_creation": "30s", 
      "managed": true,
      "policy": "timeseries_policy", 
      "lifecycle_date_millis": 1538475653281,
      "age": "30s", 
      "phase": "hot",
      "phase_time_millis": 1538475653317,
      "action": "rollover",
      "action_time_millis": 1538475653317,
      "step": "check-rollover-ready", 
      "step_time_millis": 1538475653317,
      "phase_execution": {
        "policy": "timeseries_policy",
        "phase_definition": {
          "min_age": "0ms",
          "actions": {
            "rollover": {
              "max_primary_shard_size": "50gb",
              "max_age": "30d"
            }
          }
        },
        "version": 1,
        "modified_date_in_millis": 1539609701576
      }
    }
  }
}
```

--------------------------------

### Get Index API Configurations (JavaScript)

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/index-mgmt

Uses the Elasticsearch JavaScript client to retrieve index configurations. This is helpful for monitoring and verifying index setups in a Node.js or browser environment. The 'elasticsearch' package must be installed and the client initialized.

```javascript
const response = await client.indices.get({
  index: "my-index-000001,my-index-000002",
});
console.log(response);
```

--------------------------------

### Elasticsearch Watcher: Getting Started with Watcher

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/remote-clusters

This is a basic example of an Elasticsearch Watcher. It defines a trigger (e.g., a schedule), an input (e.g., a search query), and an action (e.g., sending an email).

```json
PUT _watcher/watch/my_first_watch
{
  "trigger": {
    "schedule": {
      "interval": "1m"
    }
  },
  "input": {
    "search": {
      "request": {
        "indices": [
          "logstash-*"
        ],
        "body": {
          "query": {
            "match": {
              "message": "ERROR"
            }
          }
        }
      }
    }
  },
  "actions": {
    "send_email": {
      "email": {
        "profile": "default",
        "to": "admin@example.com",
        "subject": "High error rate detected!",
        "body": {
          "text": "Found {{ctx.payload.hits.total}} error documents in the last minute."
        }
      }
    }
  }
}
```

--------------------------------

### Setup Metricbeat Assets

Source: https://www.elastic.co/guide/en/elasticsearch/reference/8.19/security-basic-setup-https

Command to load predefined assets for parsing, indexing, and visualizing data in Metricbeat. The `-e` flag sends output to standard error.

```bash
./metricbeat setup -e
```