TiDB 3.1 Upgrade Guide

This document is targeted for users who want to upgrade from TiDB 2.0, 2.1, or 3.0 to TiDB 3.1. TiDB 3.1 is compatible with TiDB Binlog of the cluster Version.

Upgrade caveat

  • Rolling back to 2.1.x or earlier versions after upgrading is not supported.

  • Before upgrading to 3.1 from 2.0.6 or earlier versions, check if there are any running DDL operations, especially time-consuming ones like Add Index. If there are any, wait for the DDL operations to finish before you upgrade.

  • Parallel DDL is supported in TiDB 2.1 and later versions. Therefore, for clusters with a TiDB version earlier than 2.0.1, rolling update to TiDB 3.1 is not supported. To upgrade, you can choose either of the following two options:

    • Stop the cluster and upgrade to 3.1 directly.
    • Roll update to 2.0.1 or later 2.0.x versions, and then roll update to the 3.1 version.

Step 1: Install Ansible and dependencies on the Control Machine

TiDB Ansible release-3.1 depends on Ansible 2.4.2 ~ 2.7.11 (2.4.2 ≦ ansible ≦ 2.7.11, Ansible 2.7.11 recommended) and the Python modules of jinja2 ≧ 2.9.6 and jmespath ≧ 0.9.0.

To make it easy to manage dependencies, use pip to install Ansible and its dependencies. For details, see Install Ansible and its dependencies on the Control Machine. For offline environment, see Install Ansible and its dependencies offline on the Control Machine.

After the installation is finished, you can view the version information using the following command:

ansible --version
ansible 2.7.11
pip show jinja2
Name: Jinja2 Version: 2.10
pip show jmespath
Name: jmespath Version: 0.9.0

Step 2: Download TiDB Ansible to the Control Machine

  1. Log in to the Control Machine using the tidb user account and enter the /home/tidb directory.

  2. Back up the tidb-ansible folders of TiDB 2.0, 2.1, or 3.0 versions using the following command:

    $ mv tidb-ansible tidb-ansible-bak
  3. Download the tidb-ansible with the tag corresponding to TiDB 3.1. For more details, See Download TiDB Ansible to the Control Machine. The default folder name is tidb-ansible.

    git clone -b $tag https://github.com/pingcap/tidb-ansible.git

Step 3: Edit the inventory.ini file and the configuration file

Log in to the Control Machine using the tidb user account and enter the /home/tidb/tidb-ansible directory.

Edit the inventory.ini file

Edit the inventory.ini file. For IP information, see the /home/tidb/tidb-ansible-bak/inventory.ini backup file.

  1. Make sure that ansible_user is the normal user. For unified privilege management, remote installation using the root user is no longer supported. The default configuration uses the tidb user as the SSH remote user and the program running user.

    ## Connection # ssh via normal user ansible_user = tidb

    You can refer to How to configure SSH mutual trust and sudo rules on the Control Machine to automatically configure the mutual trust among hosts.

  2. Keep the process_supervision variable consistent with that in the previous version. It is recommended to use systemd by default.

    # process supervision, [systemd, supervise] process_supervision = systemd

    If you need to modify this variable, see How to modify the supervision method of a process from supervise to systemd. Before you upgrade, first use the /home/tidb/tidb-ansible-bak/ backup branch to modify the supervision method of a process.

Edit the configuration file of TiDB cluster components

If you have previously customized the configuration file of TiDB cluster components, refer to the backup file to modify the corresponding configuration file in the /home/tidb/tidb-ansible/conf directory.

Note the following parameter changes:

  • In the TiKV configuration, end-point-concurrency is changed to three parameters: high-concurrency, normal-concurrency and low-concurrency.

    readpool: coprocessor: # Notice: if CPU_NUM > 8, default thread pool size for coprocessors # will be set to CPU_NUM * 0.8. # high-concurrency: 8 # normal-concurrency: 8 # low-concurrency: 8

    Recommended configuration: the number of TiKV instances * the parameter value = the number of CPU cores * 0.8.

  • In the TiKV configuration, the block-cache-size parameter of different CFs is changed to block-cache.

    storage: block-cache: capacity: "1GB"

    Recommended configuration: capacity = MEM_TOTAL * 0.5 / the number of TiKV instances.

  • In the TiKV configuration, you need to configure the tikv_status_port port for the multiple instances on a single machine scenario. Before you configure it, check whether a port conflict exists.

    [tikv_servers] TiKV1-1 ansible_host=172.16.10.4 deploy_dir=/data1/deploy tikv_port=20171 tikv_status_port=20181 labels="host=tikv1" TiKV1-2 ansible_host=172.16.10.4 deploy_dir=/data2/deploy tikv_port=20172 tikv_status_port=20182 labels="host=tikv1" TiKV2-1 ansible_host=172.16.10.5 deploy_dir=/data1/deploy tikv_port=20171 tikv_status_port=20181 labels="host=tikv2" TiKV2-2 ansible_host=172.16.10.5 deploy_dir=/data2/deploy tikv_port=20172 tikv_status_port=20182 labels="host=tikv2" TiKV3-1 ansible_host=172.16.10.6 deploy_dir=/data1/deploy tikv_port=20171 tikv_status_port=20181 labels="host=tikv3" TiKV3-2 ansible_host=172.16.10.6 deploy_dir=/data2/deploy tikv_port=20172 tikv_status_port=20182 labels="host=tikv3"

Step 4: Download TiDB 3.1 binary to the Control Machine

Make sure that tidb_version = v3.1.x in the tidb-ansible/inventory.ini file, and then run the following command to download TiDB 3.0 binary to the Control Machine:

ansible-playbook local_prepare.yml

Step 5: Perform a rolling update to TiDB cluster components

  • If the process_supervision variable uses the default systemd parameter, perform a rolling update to the TiDB cluster using the following command corresponding to your current TiDB cluster version.

    • When the TiDB cluster version < 3.0.0, use excessive_rolling_update.yml.

      ansible-playbook excessive_rolling_update.yml
    • When the TiDB cluster version ≧ 3.0.0, use rolling_update.yml for both rolling updates and daily rolling restarts.

      ansible-playbook rolling_update.yml
  • If the process_supervision variable uses the supervise parameter, perform a rolling update to the TiDB cluster using rolling_update.yml, no matter what version the current TiDB cluster is.

    ansible-playbook rolling_update.yml

Step 6: Perform a rolling update to TiDB monitoring components

ansible-playbook rolling_update_monitor.yml