GreptimeTeam · sunng87 · Dec 19, 2024 · Dec 17, 2024 · Dec 18, 2024 · Dec 18, 2024
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+keywords: [data persistence, indexing, SST file format, Apache Parquet, inverted index, OpenDAL]
 description: Explanation of data persistence and indexing in GreptimeDB, including SST file format, indexing methods, and the use of OpenDAL.
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+keywords: [Metric engine, small tables, logical table, physical table, storage optimization]
 description: Overview of the Metric engine in GreptimeDB, its concepts, architecture, and design for handling small tables.
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+keywords: [Datanode, region server, data storage, gRPC service, heartbeat task, region manager]
 description: Overview of Datanode in GreptimeDB, its responsibilities, components, and interaction with other parts of the system.
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+keywords: [Python scripts, data analysis, CPython backend, RustPython interpreter, RecordBatch]
 description: Guide on using Python scripts for data analysis in GreptimeDB, including backend options and setup instructions.
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+keywords: [query engine, Apache DataFusion, logical plan, physical plan, data representation, indexing]
 description: Overview of GreptimeDB's query engine, its architecture, data representation, indexing, and extensibility.
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@@ -1,4 +1,5 @@
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+keywords: [storage engine, LSMT, Mito engine, data model, architecture, compaction]
 description: Overview of the storage engine in GreptimeDB, its architecture, components, and data model.
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+keywords: [write-ahead logging, WAL, data durability, LSMT, synchronous flush, asynchronous flush]
 description: Introduction to Write-Ahead Logging (WAL) in GreptimeDB, its purpose, architecture, and operational modes.
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+keywords: [arrangement component, state storage, update streams, key-value pairs, querying and updating]
 description: Details on the arrangement component in Flownode, which stores state and update streams for querying and updating.
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+keywords: [dataflow module, SQL query transformation, execution plan, DAG, map and reduce operations]
 description: Explanation of the dataflow module in Flownode, its operations, internal data handling, and future enhancements.
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+keywords: [streaming process, flow management, standalone mode, Flownode components, Flownode limitations]
 description: Overview of Flownode, a component providing streaming process capabilities to the database, including its components and current limitations.
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+keywords: [distributed querying, dist planner, dist plan, logical plan, substrait format]
 description: Describes the process of distributed querying in GreptimeDB, focusing on the dist planner and dist plan.
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+keywords: [frontend, tenant management, authorization, flow control, cloud deployment, endpoints]
 description: Provides an overview of the Frontend component in GreptimeDB, its roles, and typical deployment in the cloud.
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+keywords: [table sharding, partition, region, datanode, metasrv, data distribution]
 description: Explains how table data in GreptimeDB is sharded and distributed, including the concepts of partition and region.
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+keywords: [setup, running from source, prerequisites, build dependencies, unit tests]
 description: Instructions for setting up and running GreptimeDB from source, including prerequisites, build dependencies, and running unit tests.
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+keywords: [tracing, distributed tracing, trace_id, RPC, instrument, span, runtime]
 description: Describes how to use Rust's tracing framework in GreptimeDB for distributed tracing, including defining tracing context in RPC, passing it, and instrumenting code.
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+keywords: [tokio-console, GreptimeDB, tokio_unstable, build, connect, subscriber]
 description: Guides on using tokio-console in GreptimeDB, including building with specific features and connecting to the tokio console subscriber.
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+keywords: [gRPC SDK, GreptimeDatabase, Handle, HandleRequests, GreptimeRequest, GreptimeResponse]
 description: Explains how to write a gRPC SDK for GreptimeDB, focusing on the GreptimeDatabase service, its methods, and the structure of requests and responses.
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+keywords: [admin api, health check, leader query, heartbeat, maintenance mode, RESTful API]
 description: Details the Admin API for Metasrv, including endpoints for health checks, leader queries, heartbeat data, and maintenance mode.
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+keywords: [metasrv, metadata, request-router, load balancing, election, high availability, heartbeat]
 description: Provides an overview of the Metasrv service, its components, interactions with the Frontend, architecture, and key functionalities like distributed consensus and heartbeat management.
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+keywords: [selector, metasrv, datanode, leasebased, loadbased, roundrobin]
 description: Describes the different types of selectors in the Metasrv service, their characteristics, and how to configure them.
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+keywords: [architecture, key components, user requests, data processing, database components]
 description: Overview of GreptimeDB's architecture, key components, and how they interact to process user requests.
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+keywords: [integration tests, Rust test harness, multiple components, HTTP testing, gRPC testing]
 description: Guide on writing and running integration tests in GreptimeDB, covering scenarios involving multiple components.
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+keywords: [testing methods, behavior testing, performance testing, test overview, GreptimeDB tests]
 description: Overview of the testing methods used in GreptimeDB to ensure its behavior and performance.
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+keywords: [SQL tests, sqlness, test suite, test cases, test output]
 description: Instructions for running SQL tests in GreptimeDB using the `sqlness` test suite, including file types, case organization, and running tests.
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+keywords: [unit tests, Rust, cargo nextest, test runner, coverage]
 description: Guide on writing and running unit tests in GreptimeDB using Rust's `#[test]` attribute and `cargo nextest`.
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+keywords: [disaster recovery, active-active failover, RPO, RTO, read/write modes, configuration]
 description: Detailed explanation of the active-active failover disaster recovery solution in GreptimeDB Enterprise, including read/write modes, RPO, and RTO configurations.
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+keywords: [disaster recovery, high availability, data protection, active-active failover, architecture]
 description: Overview of disaster recovery solutions in GreptimeDB Enterprise, focusing on the active-active failover architecture for high availability and data protection.
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+keywords: [region balancer, load balancing, configuration, datanodes, migration]
 description: Configuration guide for the region balancer plugin in GreptimeDB Enterprise, which balances write loads across datanodes to prevent frequent region migrations.
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+keywords: [audit logging, configuration, monitoring, compliance, user activity]
 description: Guide to configuring audit logging in GreptimeDB Enterprise, including examples and configuration options to monitor and record database activities.
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+keywords: [LDAP, authentication, configuration, simple bind, search bind, user provider]
 description: Configuration guide for LDAP authentication in GreptimeDB Enterprise, detailing both simple bind and search bind modes.
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+keywords: [enterprise, features, solutions, cloud, edge, IoT, observability, LDAP, audit logging]
 description: Overview of GreptimeDB Enterprise, detailing its advanced features, solutions, and enhancements over the open-source version to optimize data efficiency and reduce costs.
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+keywords: [release notes, region rebalancing, management console, LDAP, audit logs, new features]
 description: Release notes for GreptimeDB Enterprise version 24.11, highlighting new features like region rebalancing, management console, LDAP user provider, and audit logs.
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+keywords: [performance, compatibility, features, use cases, drivers, Prometheus, Grafana, retention policy, schemaless, S3, integration, metrics, WAL, SQL, DataFusion]
 description: Frequently Asked Questions about GreptimeDB, covering use cases, performance, compatibility, features, and more.
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+---
+keywords: [FAQ, questions]
+description: In this section, we present the most frequently asked questions and some additional information.
+---
+
 # Overview
 
 In this section, we present the [most frequently asked questions](./faq.md) and some additional information.
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+keywords: [cluster mode, Kubernetes, Docker Compose, deployment]
 description: Instructions to deploy GreptimeDB in cluster mode using Kubernetes or Docker Compose, including steps for setup and cleanup.
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+keywords: [dashboard, data visualization, SQL queries, PromQL queries, time series data]
 description: Information on accessing and using the GreptimeDB Dashboard for visualizing time series data.
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+keywords: [standalone mode, binary installation, Docker, configuration]
 description: Guide to install and run GreptimeDB in standalone mode using binary or Docker, including binding address configuration.
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+keywords: [installation, health check, quick start, GreptimeDB standalone, GreptimeDB cluster]
 description: Instructions to install GreptimeDB, check its health status, and proceed to the quick start guide.
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+keywords: [quick start, SQL, create tables, insert data, query data, GreptimeDB dashboard]
 description: A guide to quickly start with GreptimeDB, including connecting to the database, creating tables, inserting data, querying data, and using the GreptimeDB dashboard.
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+keywords: [Go SDK, system metrics, data visualization, OpenTelemetry]
 description: Instructions on creating a service, writing data using Go, and visualizing data in GreptimeDB.
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+keywords: [InfluxDB, line protocol, system metrics, data visualization]
 description: Instructions on creating a service, writing data using InfluxDB Line Protocol, and visualizing data in GreptimeDB.
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+keywords: [Java, JVM metrics, data visualization, GreptimeDB service, OpenTelemetry]
 description: Instructions on creating a service, writing data using Java, and visualizing data in GreptimeDB.
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+keywords: [MySQL, system metrics, data visualization, GreptimeDB service, MySQL CLI]
 description: Instructions on creating a service, writing data using MySQL, and visualizing data in GreptimeDB.
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+keywords: [Node.js, data ingestion, system metrics, OpenTelemetry, GreptimeCloud]
 description: Instructions on creating a service, writing data using Node.js, and visualizing data in GreptimeDB.
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+keywords: [Prometheus, data ingestion, remote write, Docker, GreptimeCloud]
 description: Instructions on creating a service, writing data using Prometheus, and visualizing data in GreptimeDB.
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+keywords: [Python, data ingestion, system metrics, OpenTelemetry, GreptimeCloud]
 description: Instructions on creating a service, writing data using Python, and visualizing data in GreptimeDB.
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+keywords: [Vector, data ingestion, host metrics, configuration, GreptimeCloud]
 description: Instructions on creating a service, writing data using Vector, and visualizing data in GreptimeDB.
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+keywords: [Grafana Alloy, Prometheus Remote Write, OpenTelemetry, data pipeline]
 description: Instructions on integrating GreptimeCloud with Grafana Alloy for Prometheus Remote Write and OpenTelemetry.
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+keywords: [DBeaver, MySQL, database connection, database tool, GreptimeCloud]
 description: Guide on using DBeaver to connect to GreptimeCloud via MySQL database drivers.
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+keywords: [EMQX, MQTT, IoT, data ingestion, GreptimeCloud]
 description: Instructions on configuring GreptimeCloud as a data sink in EMQX Platform for IoT data ingestion.
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+keywords: [Grafana, data source, Prometheus, MySQL, GreptimeCloud]
 description: Guide on configuring GreptimeCloud as a data source in Grafana using GreptimeDB, Prometheus, or MySQL data sources.
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+keywords: [InfluxDB, Telegraf, line protocol, data ingestion, API]
 description: Instructions on using InfluxDB line protocol and Telegraf to ingest data into GreptimeCloud.
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+keywords: [Kafka, Vector, logs, metrics, data ingestion]
 description: Guide on using Kafka with Vector to ingest logs and metrics data into GreptimeCloud.
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+keywords: [Metabase, data source, community driver, configuration, BI tool]
 description: Instructions on configuring GreptimeCloud as a data source in Metabase using a community driver plugin.
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+keywords: [MindsDB, machine learning, data source, configuration, SQL]
 description: Guide on configuring GreptimeCloud as a data source in MindsDB for machine learning capabilities.
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+keywords: [MySQL, connection details, MySQL CLI, MariaDB CLI, JDBC URL]
 description: Instructions for connecting to GreptimeCloud using MySQL protocol, including connection details, MySQL CLI, MariaDB CLI, and JDBC URL.
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+keywords: [OpenTelemetry, observability backend, OTLP, API configuration, SDK setup]
 description: Guide for using GreptimeDB as an observability backend with OpenTelemetry, including API/SDK configuration and OpenTelemetry Collector setup.
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+keywords: [PostgreSQL, connection details, psql CLI, JDBC URL, wire protocol]
 description: Instructions for connecting to GreptimeCloud using PostgreSQL protocol, including connection details, psql CLI, connection strings, and JDBC URL.
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+keywords: [Prometheus, remote write, HTTP API, PromQL, integration]
 description: Guide for integrating Prometheus with GreptimeCloud, including remote write configuration, HTTP API access, and using PromQL.
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+keywords: [Go SDK, gRPC, database connection, authentication, GreptimeCloud]
 description: Instructions on how to use the GreptimeDB Go SDK to connect to GreptimeCloud using gRPC.
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+keywords: [Java SDK, gRPC, database connection, authentication]
 description: Instructions on how to use the GreptimeDB Java SDK to connect to GreptimeCloud using gRPC.
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+keywords: [Streamlit, data apps, SQL connection, MySQL protocol, Python]
 description: Instructions for using GreptimeCloud with Streamlit to build data apps, including creating a SQL connection and running SQL queries.
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+keywords: [Superset, BI tool, data source, SQLAlchemy, connection information]
 description: Guide for configuring GreptimeCloud as a data source in Superset, including connection information and SQLAlchemy URL format.
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+keywords: [Vector, GreptimeCloud, metrics ingestion, logs ingestion, data pipeline]
 description: Guide for using Vector with GreptimeCloud, including configuration for metrics and logs ingestion, and running Vector with a sample configuration.
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+keywords: [migration, InfluxDB, GreptimeCloud, HTTP API, Telegraf, client libraries, data visualization]
 description: Instructions for migrating from InfluxDB to GreptimeCloud, including database connection, writing data using HTTP API, Telegraf, client libraries, and data visualization.
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+keywords: [migration, Prometheus, GreptimeCloud, remote write, PromQL, Grafana]
 description: Instructions for migrating from Prometheus to GreptimeCloud, including configuring remote write, querying with PromQL, and integrating with Grafana.
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