- Introduction
- Concepts
- Architecture
- Key Features
- Horizontal Scalability
- MySQL Compatible Syntax
- Replicate from and to MySQL
- Distributed Transactions with Strong Consistency
- Cloud Native Architecture
- Minimize ETL with HTAP
- Fault Tolerance & Recovery with Raft
- Automatic Rebalancing
- Deployment and Orchestration with Ansible, Kubernetes, Docker
- JSON Support
- Spark Integration
- Read Historical Data Without Restoring from Backup
- Fast Import and Restore of Data
- Hybrid of Column and Row Storage
- SQL Plan Management
- Open Source
- Online Schema Changes
- How-to
- Get Started
- Deploy
- Hardware Recommendations
- From Binary Tarball
- Orchestrated Deployment
- Geographic Redundancy
- Data Migration with Ansible
- Configure
- Secure
- Transport Layer Security (TLS)
- Generate Self-signed Certificates
- Monitor
- Migrate
- Maintain
- Common Ansible Operations
- Backup and Restore
- Use BR (recommended)
- Identify Abnormal Queries
- Scale
- Upgrade
- Troubleshoot
- Reference
- SQL
- MySQL Compatibility
- SQL Language Structure
- Attributes
- Data Types
- Functions and Operators
- Function and Operator Reference
- Type Conversion in Expression Evaluation
- Operators
- Control Flow Functions
- String Functions
- Numeric Functions and Operators
- Date and Time Functions
- Bit Functions and Operators
- Cast Functions and Operators
- Encryption and Compression Functions
- Information Functions
- JSON Functions
- Aggregate (GROUP BY) Functions
- Window Functions
- Miscellaneous Functions
- Precision Math
- List of Expressions for Pushdown
- SQL Statements
ADD COLUMN
ADD INDEX
ADMIN
ADMIN CANCEL DDL
ADMIN CHECKSUM TABLE
ADMIN CHECK [TABLE|INDEX]
ADMIN SHOW DDL [JOBS|QUERIES]
ALTER DATABASE
ALTER INSTANCE
ALTER TABLE
ALTER USER
ANALYZE TABLE
BEGIN
CHANGE COLUMN
COMMIT
CREATE DATABASE
CREATE INDEX
CREATE ROLE
CREATE TABLE LIKE
CREATE TABLE
CREATE USER
CREATE VIEW
DEALLOCATE
DELETE
DESC
DESCRIBE
DO
DROP COLUMN
DROP DATABASE
DROP INDEX
DROP ROLE
DROP TABLE
DROP USER
DROP VIEW
EXECUTE
EXPLAIN ANALYZE
EXPLAIN
FLUSH PRIVILEGES
FLUSH STATUS
FLUSH TABLES
GRANT <privileges>
GRANT <role>
INSERT
KILL [TIDB]
LOAD DATA
LOAD STATS
MODIFY COLUMN
PREPARE
RECOVER TABLE
RENAME INDEX
RENAME TABLE
REPLACE
REVOKE <privileges>
REVOKE <role>
ROLLBACK
SELECT
SET DEFAULT ROLE
SET [NAMES|CHARACTER SET]
SET PASSWORD
SET ROLE
SET TRANSACTION
SET [GLOBAL|SESSION] <variable>
SHOW ANALYZE STATUS
SHOW CHARACTER SET
SHOW COLLATION
SHOW [FULL] COLUMNS FROM
SHOW CREATE TABLE
SHOW CREATE USER
SHOW DATABASES
SHOW ENGINES
SHOW ERRORS
SHOW [FULL] FIELDS FROM
SHOW GRANTS
SHOW INDEXES [FROM|IN]
SHOW INDEX [FROM|IN]
SHOW KEYS [FROM|IN]
SHOW PRIVILEGES
SHOW [FULL] PROCESSSLIST
SHOW SCHEMAS
SHOW STATUS
SHOW [FULL] TABLES
SHOW TABLE REGIONS
SHOW TABLE STATUS
SHOW [GLOBAL|SESSION] VARIABLES
SHOW WARNINGS
SPLIT REGION
START TRANSACTION
TRACE
TRUNCATE
UPDATE
USE
- Constraints
- Generated Columns
- Partitioning
- Character Set
- SQL Mode
- Views
- Configuration
- Security
- Transactions
- System Databases
- Errors Codes
- Supported Client Drivers
- Garbage Collection (GC)
- Performance
- Overview
- Understanding the Query Execution Plan
- The Blocklist of Optimization Rules and Expression Pushdown
- Introduction to Statistics
- TopN and Limit Push Down
- Optimizer Hints
- Follower Read
- Check the TiDB Cluster Status Using SQL Statements
- Execution Plan Binding
- Statement Summary Table
- Tune TiKV
- Operating System Tuning
- Column Pruning
- Key Monitoring Metrics
- Alert Rules
- Best Practices
- TiSpark
- TiKV
- TiFlash
- TiDB Binlog
- Tools
- Overview
- Use Cases
- Download
- TiDB Operator
- Table Filter
- Backup & Restore (BR)
- Mydumper
- Syncer
- Loader
- Data Migration
- TiDB Lightning
- sync-diff-inspector
- PD Control
- PD Recover
- TiKV Control
- TiDB Control
- TiDB in Kubernetes
- FAQs
- Support
- Contribute
- Releases
- All Releases
- v3.1
- v3.0
- v2.1
- v2.0
- v1.0
- Glossary
You are viewing the documentation of an older version of the TiDB database (TiDB v3.1).
Deploy TiDB Using Docker
The Docker deployment method provided in this document is no longer maintained. If you want to test TiDB, it is recommended to refer to Quick Start Guide for the TiDB Database Platform for deployment. For production environment, do not use Docker for deployment, but deploy TiDB with TiDB Ansible or TiDB Operator in Kubernetes.
This document shows you how to manually deploy a multi-node TiDB cluster on multiple machines using Docker.
To learn more, see TiDB architecture and Software and Hardware Recommendations.
Preparation
Before you start, make sure that you have:
Installed the latest version of Docker
Pulled the latest images of TiDB, TiKV and PD from Docker Hub. If not, pull the images using the following commands:
docker pull pingcap/tidb:latest docker pull pingcap/tikv:latest docker pull pingcap/pd:latest
Multi nodes deployment
Assume we have 6 machines with the following details:
Host Name | IP | Services | Data Path |
---|---|---|---|
host1 | 192.168.1.101 | PD1 & TiDB | /data |
host2 | 192.168.1.102 | PD2 | /data |
host3 | 192.168.1.103 | PD3 | /data |
host4 | 192.168.1.104 | TiKV1 | /data |
host5 | 192.168.1.105 | TiKV2 | /data |
host6 | 192.168.1.106 | TiKV3 | /data |
1. Start PD
Start PD1 on the host1
docker run -d --name pd1 \
-p 2379:2379 \
-p 2380:2380 \
-v /etc/localtime:/etc/localtime:ro \
-v /data:/data \
pingcap/pd:latest \
--name="pd1" \
--data-dir="/data/pd1" \
--client-urls="http://0.0.0.0:2379" \
--advertise-client-urls="http://192.168.1.101:2379" \
--peer-urls="http://0.0.0.0:2380" \
--advertise-peer-urls="http://192.168.1.101:2380" \
--initial-cluster="pd1=http://192.168.1.101:2380,pd2=http://192.168.1.102:2380,pd3=http://192.168.1.103:2380"
Start PD2 on the host2
docker run -d --name pd2 \
-p 2379:2379 \
-p 2380:2380 \
-v /etc/localtime:/etc/localtime:ro \
-v /data:/data \
pingcap/pd:latest \
--name="pd2" \
--data-dir="/data/pd2" \
--client-urls="http://0.0.0.0:2379" \
--advertise-client-urls="http://192.168.1.102:2379" \
--peer-urls="http://0.0.0.0:2380" \
--advertise-peer-urls="http://192.168.1.102:2380" \
--initial-cluster="pd1=http://192.168.1.101:2380,pd2=http://192.168.1.102:2380,pd3=http://192.168.1.103:2380"
Start PD3 on the host3
docker run -d --name pd3 \
-p 2379:2379 \
-p 2380:2380 \
-v /etc/localtime:/etc/localtime:ro \
-v /data:/data \
pingcap/pd:latest \
--name="pd3" \
--data-dir="/data/pd3" \
--client-urls="http://0.0.0.0:2379" \
--advertise-client-urls="http://192.168.1.103:2379" \
--peer-urls="http://0.0.0.0:2380" \
--advertise-peer-urls="http://192.168.1.103:2380" \
--initial-cluster="pd1=http://192.168.1.101:2380,pd2=http://192.168.1.102:2380,pd3=http://192.168.1.103:2380"
2. Start TiKV
Start TiKV1 on the host4
docker run -d --name tikv1 \
-p 20160:20160 \
-v /etc/localtime:/etc/localtime:ro \
-v /data:/data \
pingcap/tikv:latest \
--addr="0.0.0.0:20160" \
--advertise-addr="192.168.1.104:20160" \
--data-dir="/data/tikv1" \
--pd="192.168.1.101:2379,192.168.1.102:2379,192.168.1.103:2379"
Start TiKV2 on the host5
docker run -d --name tikv2 \
-p 20160:20160 \
-v /etc/localtime:/etc/localtime:ro \
-v /data:/data \
pingcap/tikv:latest \
--addr="0.0.0.0:20160" \
--advertise-addr="192.168.1.105:20160" \
--data-dir="/data/tikv2" \
--pd="192.168.1.101:2379,192.168.1.102:2379,192.168.1.103:2379"
Start TiKV3 on the host6
docker run -d --name tikv3 \
-p 20160:20160 \
-v /etc/localtime:/etc/localtime:ro \
-v /data:/data \
pingcap/tikv:latest \
--addr="0.0.0.0:20160" \
--advertise-addr="192.168.1.106:20160" \
--data-dir="/data/tikv3" \
--pd="192.168.1.101:2379,192.168.1.102:2379,192.168.1.103:2379"
3. Start TiDB
Start TiDB on the host1
docker run -d --name tidb \
-p 4000:4000 \
-p 10080:10080 \
-v /etc/localtime:/etc/localtime:ro \
pingcap/tidb:latest \
--store=tikv \
--path="192.168.1.101:2379,192.168.1.102:2379,192.168.1.103:2379"
4. Use the MySQL client to connect to TiDB
Install the MySQL client on host1 and run:
$ mysql -h 127.0.0.1 -P 4000 -u root -D test
mysql> show databases;
+--------------------+
| Database |
+--------------------+
| INFORMATION_SCHEMA |
| PERFORMANCE_SCHEMA |
| mysql |
| test |
+--------------------+
4 rows in set (0.00 sec)
How to customize the configuration file
The TiKV and PD can be started with a specified configuration file, which includes some advanced parameters, for the performance tuning.
Assume that the path to configuration file of PD and TiKV on the host is /path/to/config/pd.toml
and /path/to/config/tikv.toml
You can start TiKV and PD as follows:
docker run -d --name tikv1 \
-p 20160:20160 \
-v /etc/localtime:/etc/localtime:ro \
-v /data:/data \
-v /path/to/config/tikv.toml:/tikv.toml:ro \
pingcap/tikv:latest \
--addr="0.0.0.0:20160" \
--advertise-addr="192.168.1.104:20160" \
--data-dir="/data/tikv1" \
--pd="192.168.1.101:2379,192.168.1.102:2379,192.168.1.103:2379" \
--config="/tikv.toml"
docker run -d --name pd1 \
-p 2379:2379 \
-p 2380:2380 \
-v /etc/localtime:/etc/localtime:ro \
-v /data:/data \
-v /path/to/config/pd.toml:/pd.toml:ro \
pingcap/pd:latest \
--name="pd1" \
--data-dir="/data/pd1" \
--client-urls="http://0.0.0.0:2379" \
--advertise-client-urls="http://192.168.1.101:2379" \
--peer-urls="http://0.0.0.0:2380" \
--advertise-peer-urls="http://192.168.1.101:2380" \
--initial-cluster="pd1=http://192.168.1.101:2380,pd2=http://192.168.1.102:2380,pd3=http://192.168.1.103:2380" \
--config="/pd.toml"