Installation

Pre-built Binaries Kubernetes GreptimeDB in Kubernetes gtctl

Getting Started

Create a Time-Series Table Add Time-Series Data Query Data with SQL Visualize data Process Data with Python Setup a cluster

User Guide

Concepts Authentication Reading/Writing Data Table Management Python Coprocessor Hello, world Coprocessor Vector Input and Output Query data Insert data Builtin modules and functions Use third-party libs FAQJava SDKJava SDK Quick Reference QuickStart Command Line Tool: REPLPromQLUse PromQL PromQL Compliance List Supported Protocols HTTP API gRPC MySQL PostgreSQL OpenTSDB InfluxDB Prometheus

Developer Guide

Get started Frontend Table Sharding Distributed Querying Datanode Storage Engine Query Engine Data Persistence and Indexing Write-Ahead Logging Python Coprocessor Meta Admin API Distributed Lock Selector Tests Unit Test Integration Test Sqlness TestBenchmarksNYC taxi benchmarkHow ToHow to write a gRPC SDK for GreptimeDB

Reference

Command lines Configuration Data Types SQL INSERT CAST COPY SELECT DISTINCT WHERE ORDER BY GROUP BY LIMIT JOIN Functions DELETE SHOW TQL CREATE DESCRIBE TABLE ALTER EXPLAIN DROP TABLE ANSI Compatibility Functions

Changelog

Roadmap Biweekly Reports 2023.02.06 - 2023.02.26 – Supports compaction function

FAQ and Others

Frequently Asked Questions

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Getting Started

After GreptimeDB is successfully installed, you can explore more features by creating an instance or a cluster In this tutorial, you will learn how to:

Create a time-series table
Add time-series data
Query Data with SQL
Process Data with Python
Visualize data

We create a time-series table to store system metrics from hosts in IDC as an example.

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Getting Started