Topology Configuration File for TiDB Deployment Using TiUP
To deploy or scale TiDB using TiUP, you need to provide a topology file (sample) to describe the cluster topology.
Similarly, to modify the cluster topology, you need to modify the topology file. The difference is that, after the cluster is deployed, you can only modify a part of the fields in the topology file. This document introduces each section of the topology file and each field in each section.
When you deploy a TiDB cluster using TiUP, TiUP also deploys monitoring servers, such as Prometheus, Grafana, and Alertmanager. In the meantime, if you scale out this cluster, TiUP also adds the new nodes into monitoring scope. To customize the configurations of the preceding monitoring servers, you can follow the instructions in Customize Configurations of Monitoring Servers.
File structure
A topology configuration file for TiDB deployment using TiUP might contain the following sections:
- global: The cluster's global configuration. Some of the configuration items use the default values and you can configure them separately in each instance.
- monitored: Configuration for monitoring services, namely, the blackbox_exporter and the
node_exporter
. On each machine, anode_exporter
and ablackbox_exporter
are deployed. - server_configs: Components' global configuration. You can configure each component separately. If an instance has a configuration item with the same name, the instance's configuration item will take effect.
- component_versions: Component version. You can configure it when a component does not use the cluster version. This section is introduced in tiup-cluster v1.14.0.
- pd_servers: The configuration of the PD instance. This configuration specifies the machines to which the PD component is deployed.
- tidb_servers: The configuration of the TiDB instance. This configuration specifies the machines to which the TiDB component is deployed.
- tikv_servers: The configuration of the TiKV instance. This configuration specifies the machines to which the TiKV component is deployed.
- tiflash_servers: The configuration of the TiFlash instance. This configuration specifies the machines to which the TiFlash component is deployed.
- tiproxy_servers: The configuration of the TiProxy instance. This configuration specifies the machines to which the TiProxy component is deployed.
- pump_servers: The configuration of the Pump instance. This configuration specifies the machines to which the Pump component is deployed.
- drainer_servers: The configuration of the Drainer instance. This configuration specifies the machines to which the Drainer component is deployed.
- cdc_servers: The configuration of the TiCDC instance. This configuration specifies the machines to which the TiCDC component is deployed.
- tispark_masters: The configuration of the TiSpark master instance. This configuration specifies the machines to which the TiSpark master component is deployed. Only one node of TiSpark master can be deployed.
- tispark_workers: The configuration of the TiSpark worker instance. This configuration specifies the machines to which the TiSpark worker component is deployed.
- monitoring_servers: Specifies the machines to which Prometheus and NGMonitoring are deployed. TiUP supports deploying multiple Prometheus instances but only the first instance is used.
- grafana_servers: The configuration of the Grafana instance. This configuration specifies the machines to which Grafana is deployed.
- alertmanager_servers: The configuration of the Alertmanager instance. This configuration specifies the machines to which Alertmanager is deployed.
global
The global
section corresponds to the cluster's global configuration and has the following fields:
user
: The user used to start the deployed cluster. The default value is"tidb"
. If the user specified in the<user>
field does not exist on the target machine, this user is automatically created.group
: The user group to which a user belongs. It is specified when the user is created. The value defaults to that of the<user>
field. If the specified group does not exist, it is automatically created.ssh_port
: Specifies the SSH port to connect to the target machine for operations. The default value is22
.enable_tls
: Specifies whether to enable TLS for the cluster. After TLS is enabled, the generated TLS certificate must be used for connections between components or between the client and the component. The default value isfalse
.listen_host
: Specifies the default listening IP address. If it is empty, each instance automatically sets it to::
or0.0.0.0
based on whether itshost
field contains:
. This field is introduced in tiup-cluster v1.14.0.deploy_dir
: The deployment directory of each component. The default value is"deployed"
. Its application rules are as follows:If the absolute path of
deploy_dir
is configured at the instance level, the actual deployment directory isdeploy_dir
configured for the instance.For each instance, if you do not configure
deploy_dir
, its default value is the relative path<component-name>-<component-port>
.If
global.deploy_dir
is an absolute path, the component is deployed to the<global.deploy_dir>/<instance.deploy_dir>
directory.If
global.deploy_dir
is a relative path, the component is deployed to the/home/<global.user>/<global.deploy_dir>/<instance.deploy_dir>
directory.
data_dir
: The data directory. Default value:"data"
. Its application rules are as follows:If the absolute path of
data_dir
is configured at the instance level, the actual deployment directory isdata_dir
configured for the instance.For each instance, if you do not configure
data_dir
, its default value is<global.data_dir>
.If
data_dir
is a relative path, the component data is placed in<deploy_dir>/<data_dir>
. For the calculation rules of<deploy_dir>
, see the application rules of thedeploy_dir
field.
log_dir
: The log directory. Default value:"log"
. Its application rules are as follows:If the absolute path
log_dir
is configured at the instance level, the actual log directory is thelog_dir
configured for the instance.For each instance, if you not configure
log_dir
, its default value is<global.log_dir>
.If
log_dir
is a relative path, the component log is placed in<deploy_dir>/<log_dir>
. For the calculation rules of<deploy_dir>
, see the application rules of thedeploy_dir
field.
os
: The operating system of the target machine. The field controls which operating system to adapt to for the components pushed to the target machine. The default value is "linux".arch
: The CPU architecture of the target machine. The field controls which platform to adapt to for the binary packages pushed to the target machine. The supported values are "amd64" and "arm64". The default value is "amd64".resource_control
: Runtime resource control. All configurations in this field are written into the service file of systemd. There is no limit by default. The resources that can be controlled are as follows:memory_limit
: Limits the maximum runtime memory. For example, "2G" means that the maximum memory of 2 GB can be used.cpu_quota
: Limits the maximum CPU usage at runtime. For example, "200%".io_read_bandwidth_max
: Limits the maximum I/O bandwidth for disk reads. For example,"/dev/disk/by-path/pci-0000:00:1f.2-scsi-0:0:0:0 100M"
.io_write_bandwidth_max
: Limits maximum I/O bandwidth for disk writes. For example,/dev/disk/by-path/pci-0000:00:1f.2-scsi-0:0:0:0 100M
.limit_core
: Controls the size of core dump.
A global
configuration example is as follows:
global:
user: "tidb"
resource_control:
memory_limit: "2G"
In the above configuration, the tidb
user is used to start the cluster. At the same time, each component is restricted to a maximum of 2 GB of memory when it is running.
monitored
monitored
is used to configure the monitoring service on the target machine: node_exporter
and blackbox_exporter
. The following fields are included:
node_exporter_port
: The service port ofnode_exporter
. The default value is9100
.blackbox_exporter_port
: The service port ofblackbox_exporter
. The default value is9115
.deploy_dir
: Specifies the deployment directory. If it is not specified or specified as a relative directory, the directory is generated according to thedeploy_dir
directory configured inglobal
.data_dir
: Specifies the data directory. If it is not specified or specified as a relative directory, the directory is generated according to thedata_dir
directory configured inglobal
.log_dir
: Specifies the log directory. If it is not specified or specified as a relative directory, the log is generated according to thelog_dir
directory configured inglobal
.
A monitored
configuration example is as follows:
monitored:
node_exporter_port: 9100
blackbox_exporter_port: 9115
The above configuration specifies that node_exporter
uses the 9100
port and blackbox_exporter
uses the 9115
port.
server_configs
server_configs
is used to configure services and to generate configuration files for each component. Similar to the global
section, the configuration of this section can be overwritten by the configurations with the same names in an instance. server_configs
mainly includes the following fields:
tidb
: TiDB service-related configuration. For the complete configuration, see TiDB configuration file.tikv
: TiKV service-related configuration. For the complete configuration, see TiKV configuration file.pd
: PD service-related configuration. For the complete configuration, see PD configuration file.tiflash
: TiFlash service-related configuration. For the complete configuration, see TiFlash configuration file.tiflash_learner
: Each TiFlash node has a special built-in TiKV. This configuration item is used to configure this special TiKV. It is generally not recommended to modify the content under this configuration item.tiproxy
: TiProxy service-related configuration. For the complete configuration, see TiProxy configuration file.pump
: Pump service-related configuration. For the complete configuration, see TiDB Binlog configuration file.drainer
: Drainer service-related configuration. For the complete configuration, see TiDB Binlog configuration file.cdc
: TiCDC service-related configuration. For the complete configuration, see Deploy TiCDC.
A server_configs
configuration example is as follows:
server_configs:
tidb:
lease: "45s"
split-table: true
token-limit: 1000
instance.tidb_enable_ddl: true
tikv:
log-level: "info"
readpool.unified.min-thread-count: 1
The above configuration specifies the global configuration of TiDB and TiKV.
component_versions
component_versions
is used to specify the version number of a certain component.
- When
component_versions
is not configured, each component either uses the same version number as the TiDB cluster (such as PD and TiKV), or uses the latest version (such as Alertmanager). - When
component_versions
is configured, the corresponding component will use the specified version, and this version will be used in subsequent cluster scaling and upgrade operations.
Make sure you only configure it when you need to use a specific version of a component.
component_versions
contains the following fields:
tikv
: The version of the TiKV componenttiflash
: The version of the TiFlash componentpd
: The version of the PD componenttidb_dashboard
: The version of the standalone TiDB Dashboard componentpump
: The version of the Pump componentdrainer
: The version of the Drainer componentcdc
: The version of the CDC componentkvcdc
: The version of the TiKV-CDC componenttiproxy
: The version of the TiProxy componentprometheus
: The version of the Prometheus componentgrafana
: The version of the Grafana componentalertmanager
: The version of the Alertmanager component
The following is an example configuration for component_versions
:
component_versions:
kvcdc: "v1.1.1"
The preceding configuration specifies the version number of TiKV-CDC to be v1.1.1
.
pd_servers
pd_servers
specifies the machines to which PD services are deployed. It also specifies the service configuration on each machine. pd_servers
is an array, and each element of the array contains the following fields:
host
: Specifies the machine to which the PD services are deployed. The field value is an IP address and is mandatory.listen_host
: When the machine has multiple IP addresses,listen_host
specifies the listening IP address of the service. The default value is0.0.0.0
.ssh_port
: Specifies the SSH port to connect to the target machine for operations. If it is not specified, thessh_port
of theglobal
section is used.name
: Specifies the name of the PD instance. Different instances must have unique names; otherwise, instances cannot be deployed.client_port
: Specifies the port that PD uses to connect to the client. The default value is2379
.peer_port
: Specifies the port for communication between PDs. The default value is2380
.deploy_dir
: Specifies the deployment directory. If it is not specified or specified as a relative directory, the directory is generated according to thedeploy_dir
directory configured inglobal
.data_dir
: Specifies the data directory. If it is not specified or specified as a relative directory, the directory is generated according to thedata_dir
directory configured inglobal
.log_dir
: Specifies the log directory. If it is not specified or specified as a relative directory, the log is generated according to thelog_dir
directory configured inglobal
.numa_node
: Allocates the NUMA policy to the instance. Before specifying this field, you need to make sure that the target machine has numactl installed. If this field is specified, cpubind and membind policies are allocated using numactl. This field is the string type. The field value is the ID of the NUMA node, such as "0,1".config
: The configuration rule of this field is the same as thepd
configuration rule inserver_configs
. If this field is configured, the field content is merged with thepd
content inserver_configs
(if the two fields overlap, the content of this field takes effect). Then, a configuration file is generated and sent to the machine specified inhost
.os
: The operating system of the machine specified inhost
. If this field is not specified, the default value is theos
value inglobal
.arch
: The architecture of the machine specified inhost
. If this field is not specified, the default value is thearch
value inglobal
.resource_control
: Resource control for the service. If this field is configured, the field content is merged with theresource_control
content inglobal
(if the two fields overlap, the content of this field takes effect). Then, a systemd configuration file is generated and sent to the machine specified inhost
. The configuration rules ofresource_control
are the same as theresource_control
content inglobal
.
For the above fields, you cannot modify these configured fields after the deployment:
host
listen_host
name
client_port
peer_port
deploy_dir
data_dir
log_dir
arch
os
A pd_servers
configuration example is as follows:
pd_servers:
- host: 10.0.1.11
config:
schedule.max-merge-region-size: 20
schedule.max-merge-region-keys: 200000
- host: 10.0.1.12
The above configuration specifies that PD will be deployed on 10.0.1.11
and 10.0.1.12
, and makes specific configurations for the PD of 10.0.1.11
.
tidb_servers
tidb_servers
specifies the machines to which TiDB services are deployed. It also specifies the service configuration on each machine. tidb_servers
is an array, and each element of the array contains the following fields:
host
: Specifies the machine to which the TiDB services are deployed. The field value is an IP address and is mandatory.listen_host
: When the machine has multiple IP addresses,listen_host
specifies the listening IP address of the service. The default value is0.0.0.0
.ssh_port
: Specifies the SSH port to connect to the target machine for operations. If it is not specified, thessh_port
of theglobal
section is used.port
: The listening port of TiDB services, which is used to provide connection to the MySQL client. The default value is4000
.status_port
: The listening port of the TiDB status service, which is used to view the status of the TiDB services from the external via HTTP requests. The default value is10080
.deploy_dir
: Specifies the deployment directory. If it is not specified or specified as a relative directory, the directory is generated according to thedeploy_dir
directory configured inglobal
.log_dir
: Specifies the log directory. If it is not specified or specified as a relative directory, the log is generated according to thelog_dir
directory configured inglobal
.numa_node
: Allocates the NUMA policy to the instance. Before specifying this field, you need to make sure that the target machine has numactl installed. If this field is specified, cpubind and membind policies are allocated using numactl. This field is the string type. The field value is the ID of the NUMA node, such as "0,1".config
: The configuration rule of this field is the same as thetidb
configuration rule inserver_configs
. If this field is configured, the field content is merged with thetidb
content inserver_configs
(if the two fields overlap, the content of this field takes effect). Then, a configuration file is generated and sent to the machine specified inhost
.os
: The operating system of the machine specified inhost
. If this field is not specified, the default value is theos
value inglobal
.arch
: The architecture of the machine specified inhost
. If this field is not specified, the default value is thearch
value inglobal
.resource_control
: Resource control for the service. If this field is configured, the field content is merged with theresource_control
content inglobal
(if the two fields overlap, the content of this field takes effect). Then, a systemd configuration file is generated and sent to the machine specified inhost
. The configuration rules ofresource_control
are the same as theresource_control
content inglobal
.
For the above fields, you cannot modify these configured fields after the deployment:
host
listen_host
port
status_port
deploy_dir
log_dir
arch
os
A tidb_servers
configuration example is as follows:
tidb_servers:
- host: 10.0.1.14
config:
log.level: warn
log.slow-query-file: tidb-slow-overwrited.log
- host: 10.0.1.15
tikv_servers
tikv_servers
specifies the machines to which TiKV services are deployed. It also specifies the service configuration on each machine. tikv_servers
is an array, and each element of the array contains the following fields:
host
: Specifies the machine to which the TiKV services are deployed. The field value is an IP address and is mandatory.listen_host
: When the machine has multiple IP addresses,listen_host
specifies the listening IP address of the service. The default value is0.0.0.0
.ssh_port
: Specifies the SSH port to connect to the target machine for operations. If it is not specified, thessh_port
of theglobal
section is used.port
: The listening port of the TiKV services. The default value is20160
.status_port
: The listening port of the TiKV status service. The default value is20180
.deploy_dir
: Specifies the deployment directory. If it is not specified or specified as a relative directory, the directory is generated according to thedeploy_dir
directory configured inglobal
.data_dir
: Specifies the data directory. If it is not specified or specified as a relative directory, the directory is generated according to thedata_dir
directory configured inglobal
.log_dir
: Specifies the log directory. If it is not specified or specified as a relative directory, the log is generated according to thelog_dir
directory configured inglobal
.numa_node
: Allocates the NUMA policy to the instance. Before specifying this field, you need to make sure that the target machine has numactl installed. If this field is specified, cpubind and membind policies are allocated using numactl. This field is the string type. The field value is the ID of the NUMA node, such as "0,1".config
: The configuration rule of this field is the same as thetikv
configuration rule inserver_configs
. If this field is configured, the field content is merged with thetikv
content inserver_configs
(if the two fields overlap, the content of this field takes effect). Then, a configuration file is generated and sent to the machine specified inhost
.os
: The operating system of the machine specified inhost
. If this field is not specified, the default value is theos
value inglobal
.arch
: The architecture of the machine specified inhost
. If this field is not specified, the default value is thearch
value inglobal
.resource_control
: Resource control for the service. If this field is configured, the field content is merged with theresource_control
content inglobal
(if the two fields overlap, the content of this field takes effect). Then, a systemd configuration file is generated and sent to the machine specified inhost
. The configuration rules ofresource_control
are the same as theresource_control
content inglobal
.
For the above fields, you cannot modify these configured fields after the deployment:
host
listen_host
port
status_port
deploy_dir
data_dir
log_dir
arch
os
A tikv_servers
configuration example is as follows:
tikv_servers:
- host: 10.0.1.14
config:
server.labels: { zone: "zone1", host: "host1" }
- host: 10.0.1.15
config:
server.labels: { zone: "zone1", host: "host2" }
tiflash_servers
tiflash_servers
specifies the machines to which TiFlash services are deployed. It also specifies the service configuration on each machine. This section is an array, and each element of the array contains the following fields:
host
: Specifies the machine to which the TiFlash services are deployed. The field value is an IP address and is mandatory.ssh_port
: Specifies the SSH port to connect to the target machine for operations. If it is not specified, thessh_port
of theglobal
section is used.tcp_port
: The port of the TiFlash TCP service. The default value is9000
.flash_service_port
: The port via which TiFlash provides services. TiDB reads data from TiFlash via this port. The default value is3930
.metrics_port
: TiFlash's status port, which is used to output metric data. The default value is8234
.flash_proxy_port
: The port of the built-in TiKV. The default value is20170
.flash_proxy_status_port
: The status port of the built-in TiKV. The default value is20292
.deploy_dir
: Specifies the deployment directory. If it is not specified or specified as a relative directory, the directory is generated according to thedeploy_dir
directory configured inglobal
.data_dir
: Specifies the data directory. If it is not specified or specified as a relative directory, the directory is generated according to thedata_dir
directory configured inglobal
. TiFlash supports multipledata_dir
directories separated by commas.log_dir
: Specifies the log directory. If it is not specified or specified as a relative directory, the log is generated according to thelog_dir
directory configured inglobal
.tmp_path
: The storage path of TiFlash temporary files. The default value is [path
or the first directory ofstorage.latest.dir
] + "/tmp".numa_node
: Allocates the NUMA policy to the instance. Before specifying this field, you need to make sure that the target machine has numactl installed. If this field is specified, cpubind and membind policies are allocated using numactl. This field is the string type. The field value is the ID of the NUMA node, such as "0,1".config
: The configuration rule of this field is the same as thetiflash
configuration rule inserver_configs
. If this field is configured, the field content is merged with thetiflash
content inserver_configs
(if the two fields overlap, the content of this field takes effect). Then, a configuration file is generated and sent to the machine specified inhost
.learner_config
: Each TiFlash node has a special built-in TiKV. This configuration item is used to configure this special TiKV. It is generally not recommended to modify the content under this configuration item.os
: The operating system of the machine specified inhost
. If this field is not specified, the default value is theos
value inglobal
.arch
: The architecture of the machine specified inhost
. If this field is not specified, the default value is thearch
value inglobal
.resource_control
: Resource control for the service. If this field is configured, the field content is merged with theresource_control
content inglobal
(if the two fields overlap, the content of this field takes effect). Then, a systemd configuration file is generated and sent to the machine specified inhost
. The configuration rules ofresource_control
are the same as theresource_control
content inglobal
.
After the deployment, for the fields above, you can only add directories to data_dir
; for the fields below, you cannot modified these fields:
host
tcp_port
http_port
flash_service_port
flash_proxy_port
flash_proxy_status_port
metrics_port
deploy_dir
log_dir
tmp_path
arch
os
A tiflash_servers
configuration example is as follows:
tiflash_servers:
- host: 10.0.1.21
- host: 10.0.1.22
tiproxy_servers
tiproxy_servers
specifies the machines to which the TiProxy services are deployed and the service configuration on each machine. tiproxy_servers
is an array, and each element of the array contains the following fields:
host
: Specifies the IP address of the machine to which the TiProxy services are deployed. This field is mandatory.ssh_port
: Specifies the SSH port to connect to the target machine for operations. If it is not specified, thessh_port
of theglobal
section is used.port
: The listening port of the TiProxy SQL services. The default value is6000
.deploy_dir
: Specifies the deployment directory. If it is not specified or specified as a relative directory, the directory is generated based on thedeploy_dir
directory configured inglobal
.data_dir
: Specifies the data directory. If it is not specified or specified as a relative directory, the directory is generated based on thedata_dir
directory configured inglobal
.numa_node
: Allocates the NUMA policy to the instance. Before specifying this field, you need to make sure that the target machine has numactl installed. If this field is specified, cpubind and membind policies are allocated using numactl. This field is of string type. The value is the ID of the NUMA node, such as"0,1"
.config
: The configuration rule of this field is the same as thetiproxy
configuration rule inserver_configs
. If this field is configured, the field content is merged with thetiproxy
content inserver_configs
. If these two fields overlap, the content of this field takes effect. Subsequently, a configuration file is generated and sent to the machine specified inhost
.os
: The operating system of the machine specified inhost
. If this field is not specified, the default value is theos
value inglobal
.arch
: The architecture of the machine specified inhost
. If this field is not specified, the default value is thearch
value inglobal
.
Among the above fields, you cannot modify the following configured fields after the deployment:
host
port
deploy_dir
data_dir
arch
os
A tiproxy_servers
configuration example is as follows:
tiproxy_servers:
- host: 10.0.1.21
- host: 10.0.1.22
pump_servers
pump_servers
specifies the machines to which the Pump services of TiDB Binlog are deployed. It also specifies the service configuration on each machine. pump_servers
is an array, and each element of the array contains the following fields:
host
: Specifies the machine to which the Pump services are deployed. The field value is an IP address and is mandatory.ssh_port
: Specifies the SSH port to connect to the target machine for operations. If it is not specified, thessh_port
of theglobal
section is used.port
: The listening port of the Pump services. The default value is8250
.deploy_dir
: Specifies the deployment directory. If it is not specified or specified as a relative directory, the directory is generated according to thedeploy_dir
directory configured inglobal
.data_dir
: Specifies the data directory. If it is not specified or specified as a relative directory, the directory is generated according to thedata_dir
directory configured inglobal
.log_dir
: Specifies the log directory. If it is not specified or specified as a relative directory, the log is generated according to thelog_dir
directory configured inglobal
.numa_node
: Allocates the NUMA policy to the instance. Before specifying this field, you need to make sure that the target machine has numactl installed. If this field is specified, cpubind and membind policies are allocated using numactl. This field is the string type. The field value is the ID of the NUMA node, such as "0,1".config
: The configuration rule of this field is the same as thepump
configuration rule inserver_configs
. If this field is configured, the field content is merged with thepump
content inserver_configs
(if the two fields overlap, the content of this field takes effect). Then, a configuration file is generated and sent to the machine specified inhost
.os
: The operating system of the machine specified inhost
. If this field is not specified, the default value is theos
value inglobal
.arch
: The architecture of the machine specified inhost
. If this field is not specified, the default value is thearch
value inglobal
.resource_control
: Resource control for the service. If this field is configured, the field content is merged with theresource_control
content inglobal
(if the two fields overlap, the content of this field takes effect). Then, a systemd configuration file is generated and sent to the machine specified inhost
. The configuration rules ofresource_control
are the same as theresource_control
content inglobal
.
For the above fields, you cannot modify these configured fields after the deployment:
host
port
deploy_dir
data_dir
log_dir
arch
os
A pump_servers
configuration example is as follows:
pump_servers:
- host: 10.0.1.21
config:
gc: 7
- host: 10.0.1.22
drainer_servers
drainer_servers
specifies the machines to which the Drainer services of TiDB Binlog are deployed. It also specifies the service configuration on each machine. drainer_servers
is an array. Each array element contains the following fields:
host
: Specifies the machine to which the Drainer services are deployed. The field value is an IP address and is mandatory.ssh_port
: Specifies the SSH port to connect to the target machine for operations. If it is not specified, thessh_port
of theglobal
section is used.port
: The listening port of Drainer services. The default value is8249
.deploy_dir
: Specifies the deployment directory. If it is not specified or specified as a relative directory, the directory is generated according to thedeploy_dir
directory configured inglobal
.data_dir
: Specifies the data directory. If it is not specified or specified as a relative directory, the directory is generated according to thedata_dir
directory configured inglobal
.log_dir
: Specifies the log directory. If it is not specified or specified as a relative directory, the log is generated according to thelog_dir
directory configured inglobal
.commit_ts
(deprecated): When Drainer starts, it reads the checkpoint. If Drainer gets no checkpoint, it uses this field as the replication time point for the initial startup. This field defaults to-1
(Drainer always gets the latest timestamp from the PD as the commit_ts).numa_node
: Allocates the NUMA policy to the instance. Before specifying this field, you need to make sure that the target machine has numactl installed. If this field is specified, cpubind and membind policies are allocated using numactl. This field is the string type. The field value is the ID of the NUMA node, such as "0,1".config
: The configuration rule of this field is the same as thedrainer
configuration rule inserver_configs
. If this field is configured, the field content is merged with thedrainer
content inserver_configs
(if the two fields overlap, the content of this field takes effect). Then, a configuration file is generated and sent to the machine specified inhost
.os
: The operating system of the machine specified inhost
. If this field is not specified, the default value is theos
value inglobal
.arch
: The architecture of the machine specified inhost
. If this field is not specified, the default value is thearch
value inglobal
.resource_control
: Resource control for the service. If this field is configured, the field content is merged with theresource_control
content inglobal
(if the two fields overlap, the content of this field takes effect). Then, a systemd configuration file is generated and sent to the machine specified inhost
. The configuration rules ofresource_control
are the same as theresource_control
content inglobal
.
For the above fields, you cannot modify these configured fields after the deployment:
host
port
deploy_dir
data_dir
log_dir
arch
os
The commit_ts
field is deprecated since TiUP v1.9.2 and is not recorded in the starting script of Drainer. If you still need to use this field, refer to the following example to configure the initial-commit-ts
field in config
.
A drainer_servers
configuration example is as follows:
drainer_servers:
- host: 10.0.1.21
config:
initial-commit-ts: -1
syncer.db-type: "mysql"
syncer.to.host: "127.0.0.1"
syncer.to.user: "root"
syncer.to.password: ""
syncer.to.port: 3306
syncer.ignore-table:
- db-name: test
tbl-name: log
- db-name: test
tbl-name: audit
cdc_servers
cdc_servers
specifies the machines to which the TiCDC services are deployed. It also specifies the service configuration on each machine. cdc_servers
is an array. Each array element contains the following fields:
host
: Specifies the machine to which the TiCDC services are deployed. The field value is an IP address and is mandatory.ssh_port
: Specifies the SSH port to connect to the target machine for operations. If it is not specified, thessh_port
of theglobal
section is used.port
: The listening port of the TiCDC services. The default value is8300
.deploy_dir
: Specifies the deployment directory. If it is not specified or specified as a relative directory, the directory is generated according to thedeploy_dir
directory configured inglobal
.data_dir
: Specifies the data directory. If it is not specified or specified as a relative directory, the directory is generated according to thedata_dir
directory configured inglobal
.log_dir
: Specifies the log directory. If it is not specified or specified as a relative directory, the log is generated according to thelog_dir
directory configured inglobal
.gc-ttl
: The Time To Live (TTL) duration of the service level GC safepoint set by TiCDC in PD, in seconds. The default value is86400
, which is 24 hours.tz
: The time zone that the TiCDC services use. TiCDC uses this time zone when internally converting time data types such as timestamp and when replicating data to the downstream. The default value is the local time zone where the process runs.numa_node
: Allocates the NUMA policy to the instance. Before specifying this field, you need to make sure that the target machine has numactl installed. If this field is specified, cpubind and membind policies are allocated using numactl. This field is the string type. The field value is the ID of the NUMA node, such as "0,1".config
: The field content is merged with thecdc
content inserver_configs
(if the two fields overlap, the content of this field takes effect). Then, a configuration file is generated and sent to the machine specified inhost
.os
: The operating system of the machine specified inhost
. If this field is not specified, the default value is theos
value inglobal
.arch
: The architecture of the machine specified inhost
. If this field is not specified, the default value is thearch
value inglobal
.resource_control
: Resource control for the service. If this field is configured, the field content is merged with theresource_control
content inglobal
(if the two fields overlap, the content of this field takes effect). Then, a systemd configuration file is generated and sent to the machine specified inhost
. The configuration rules ofresource_control
are the same as theresource_control
content inglobal
.ticdc_cluster_id
: Specifies the TiCDC cluster ID corresponding to the service. If this field is not specified, the service joins the default TiCDC cluster. This field only takes effect in TiDB v6.3.0 or later versions.
For the above fields, you cannot modify these configured fields after the deployment:
host
port
deploy_dir
data_dir
log_dir
arch
os
ticdc_cluster_id
A cdc_servers
configuration example is as follows:
cdc_servers:
- host: 10.0.1.20
gc-ttl: 86400
data_dir: "/cdc-data"
- host: 10.0.1.21
gc-ttl: 86400
data_dir: "/cdc-data"
tispark_masters
tispark_masters
specifies the machines to which the master node of TiSpark is deployed. It also specifies the service configuration on each machine. tispark_masters
is an array. Each array element contains the following fields:
host
: Specifies the machine to which the TiSpark master is deployed. The field value is an IP address and is mandatory.listen_host
: When the machine has multiple IP addresses,listen_host
specifies the listening IP address of the service. The default value is0.0.0.0
.ssh_port
: Specifies the SSH port to connect to the target machine for operations. If it is not specified, thessh_port
of theglobal
section is used.port
: Spark's listening port, used for communication before the node. The default value is7077
.web_port
: Spark's web port, which provides web services and the task status. The default value is8080
.deploy_dir
: Specifies the deployment directory. If it is not specified or specified as a relative directory, the directory is generated according to thedeploy_dir
directory configured inglobal
.java_home
: Specifies the path of the JRE environment to be used. This parameter corresponds to theJAVA_HOME
system environment variable.spark_config
: Configures to configure the TiSpark services. Then, a configuration file is generated and sent to the machine specified inhost
.spark_env
: Configures the environment variables when Spark starts.os
: The operating system of the machine specified inhost
. If this field is not specified, the default value is theos
value inglobal
.arch
: The architecture of the machine specified inhost
. If this field is not specified, the default value is thearch
value inglobal
.
For the above fields, you cannot modify these configured fields after the deployment:
host
listen_host
port
web_port
deploy_dir
arch
os
A tispark_masters
configuration example is as follows:
tispark_masters:
- host: 10.0.1.21
spark_config:
spark.driver.memory: "2g"
spark.eventLog.enabled: "False"
spark.tispark.grpc.framesize: 2147483647
spark.tispark.grpc.timeout_in_sec: 100
spark.tispark.meta.reload_period_in_sec: 60
spark.tispark.request.command.priority: "Low"
spark.tispark.table.scan_concurrency: 256
spark_env:
SPARK_EXECUTOR_CORES: 5
SPARK_EXECUTOR_MEMORY: "10g"
SPARK_WORKER_CORES: 5
SPARK_WORKER_MEMORY: "10g"
- host: 10.0.1.22
tispark_workers
tispark_workers
specifies the machines to which the worker nodes of TiSpark are deployed. It also specifies the service configuration on each machine. tispark_workers
is an array. Each array element contains the following fields:
host
: Specifies the machine to which the TiSpark workers are deployed. The field value is an IP address and is mandatory.listen_host
: When the machine has multiple IP addresses,listen_host
specifies the listening IP address of the service. The default value is0.0.0.0
.ssh_port
: Specifies the SSH port to connect to the target machine for operations. If it is not specified, thessh_port
of theglobal
section is used.port
: Spark's listening port, used for communication before the node. The default value is7077
.web_port
: Spark's web port, which provides web services and the task status. The default value is8080
.deploy_dir
: Specifies the deployment directory. If it is not specified or specified as a relative directory, the directory is generated according to thedeploy_dir
directory configured inglobal
.java_home
: Specifies the path in which the JRE environment to be used is located. This parameter corresponds to theJAVA_HOME
system environment variable.os
: The operating system of the machine specified inhost
. If this field is not specified, the default value is theos
value inglobal
.arch
: The architecture of the machine specified inhost
. If this field is not specified, the default value is thearch
value inglobal
.
For the above fields, you cannot modify these configured fields after the deployment:
host
listen_host
port
web_port
deploy_dir
arch
os
A tispark_workers
configuration example is as follows:
tispark_workers:
- host: 10.0.1.22
- host: 10.0.1.23
monitoring_servers
monitoring_servers
specifies the machines to which the Prometheus services are deployed. It also specifies the service configuration on each machine. monitoring_servers
is an array. Each array element contains the following fields:
host
: Specifies the machine to which the monitoring services are deployed. The field value is an IP address and is mandatory.ng_port
: Specifies the port that NgMonitoring listens to. Introduced in TiUP v1.7.0, this field supports Continuous Profiling and Top SQL. The default value is12020
.ssh_port
: Specifies the SSH port to connect to the target machine for operations. If it is not specified, thessh_port
of theglobal
section is used.port
: The listening port of the Prometheus services. The default value is9090
.deploy_dir
: Specifies the deployment directory. If it is not specified or specified as a relative directory, the directory is generated according to thedeploy_dir
directory configured inglobal
.data_dir
: Specifies the data directory. If it is not specified or specified as a relative directory, the directory is generated according to thedata_dir
directory configured inglobal
.log_dir
: Specifies the log directory. If it is not specified or specified as a relative directory, the log is generated according to thelog_dir
directory configured inglobal
.numa_node
: Allocates the NUMA policy to the instance. Before specifying this field, you need to make sure that the target machine has numactl installed. If this field is specified, cpubind and membind policies are allocated using numactl. This field is the string type. The field value is the ID of the NUMA node, such as "0,1".storage_retention
: The retention time of the Prometheus monitoring data. The default value is"30d"
.rule_dir
: Specifies a local directory that should contain complete*.rules.yml
files. These files are transferred to the target machine during the initialization phase of the cluster configuration as the rules for Prometheus.remote_config
: Supports writing Prometheus data to the remote, or reading data from the remote. This field has two configurations:remote_write
: See the Prometheus document<remote_write>
.remote_read
: See the Prometheus document<remote_read>
.
external_alertmanagers
: If theexternal_alertmanagers
field is configured, Prometheus alerts the configuration behavior to the Alertmanager that is outside the cluster. This field is an array, each element of which is an external Alertmanager and consists of thehost
andweb_port
fields.os
: The operating system of the machine specified inhost
. If this field is not specified, the default value is theos
value inglobal
.arch
: The architecture of the machine specified inhost
. If this field is not specified, the default value is thearch
value inglobal
.resource_control
: Resource control for the service. If this field is configured, the field content is merged with theresource_control
content inglobal
(if the two fields overlap, the content of this field takes effect). Then, a systemd configuration file is generated and sent to the machine specified inhost
. The configuration rules ofresource_control
are the same as theresource_control
content inglobal
.additional_args
: Introduced in TiUP v1.15.0, this field configures additional parameters for running Prometheus. This field is an array, and each element of the array is a Prometheus running parameter. For example, to enable the Prometheus hot reload feature, you can set this field to--web.enable-lifecycle
.additional_scrape_conf
: Customized Prometheus scrape configuration. When you deploy, scale out, scale in, or reload a TiDB cluster, TiUP adds the content of theadditional_scrape_conf
field to the corresponding parameters of the Prometheus configuration file. For more information, see Customize Prometheus scrape configuration.
For the above fields, you cannot modify these configured fields after the deployment:
host
port
deploy_dir
data_dir
log_dir
arch
os
A monitoring_servers
configuration example is as follows:
monitoring_servers:
- host: 10.0.1.11
rule_dir: /local/rule/dir
additional_args:
- --web.enable-lifecycle
remote_config:
remote_write:
- queue_config:
batch_send_deadline: 5m
capacity: 100000
max_samples_per_send: 10000
max_shards: 300
url: http://127.0.0.1:8003/write
remote_read:
- url: http://127.0.0.1:8003/read
external_alertmanagers:
- host: 10.1.1.1
web_port: 9093
- host: 10.1.1.2
web_port: 9094
grafana_servers
grafana_servers
specifies the machines to which the Grafana services are deployed. It also specifies the service configuration on each machine. grafana_servers
is an array. Each array element contains the following fields:
host
: Specifies the machine to which the Grafana services are deployed. The field value is an IP address and is mandatory.ssh_port
: Specifies the SSH port to connect to the target machine for operations. If it is not specified, thessh_port
of theglobal
section is used.port
: The listening port of the Grafana services. The default value is3000
.deploy_dir
: Specifies the deployment directory. If it is not specified or specified as a relative directory, the directory is generated according to thedeploy_dir
directory configured inglobal
.os
: The operating system of the machine specified inhost
. If this field is not specified, the default value is theos
value inglobal
.arch
: The architecture of the machine specified inhost
. If this field is not specified, the default value is thearch
value inglobal
.username
: The user name on the Grafana login interface.password
: The password corresponding to Grafana.dashboard_dir
: Specifies a local directory that should contain completedashboard(*.json)
files. These files are transferred to the target machine during the initialization phase of the cluster configuration as the dashboards for Grafana.resource_control
: Resource control for the service. If this field is configured, the field content is merged with theresource_control
content inglobal
(if the two fields overlap, the content of this field takes effect). Then, a systemd configuration file is generated and sent to the machine specified inhost
. The configuration rules ofresource_control
are the same as theresource_control
content inglobal
.config
: This field is used to add custom configurations to Grafana. When you deploy, scale out, scale in, or reload a TiDB cluster, TiUP adds the content of theconfig
field to the Grafana configuration filegrafana.ini
. For more information, see Customize other Grafana configurations.
For the above fields, you cannot modify these configured fields after the deployment:
host
port
deploy_dir
arch
os
A grafana_servers
configuration example is as follows:
grafana_servers:
- host: 10.0.1.11
dashboard_dir: /local/dashboard/dir
alertmanager_servers
alertmanager_servers
specifies the machines to which the Alertmanager services are deployed. It also specifies the service configuration on each machine. alertmanager_servers
is an array. Each array element contains the following fields:
host
: Specifies the machine to which the Alertmanager services are deployed. The field value is an IP address and is mandatory.ssh_port
: Specifies the SSH port to connect to the target machine for operations. If it is not specified, thessh_port
of theglobal
section is used.web_port
: Specifies the port used that Alertmanager uses to provide web services. The default value is9093
.cluster_port
: Specifies the communication port between one Alertmanger and other Alertmanager. The default value is9094
.deploy_dir
: Specifies the deployment directory. If it is not specified or specified as a relative directory, the directory is generated according to thedeploy_dir
directory configured inglobal
.data_dir
: Specifies the data directory. If it is not specified or specified as a relative directory, the directory is generated according to thedata_dir
directory configured inglobal
.log_dir
: Specifies the log directory. If it is not specified or specified as a relative directory, the log is generated according to thelog_dir
directory configured inglobal
.numa_node
: Allocates the NUMA policy to the instance. Before specifying this field, you need to make sure that the target machine has numactl installed. If this field is specified, cpubind and membind policies are allocated using numactl. This field is the string type. The field value is the ID of the NUMA node, such as "0,1".config_file
: Specifies a local file that is transferred to the target machine during the initialization phase of the cluster configuration as the configuration of Alertmanager.os
: The operating system of the machine specified inhost
. If this field is not specified, the default value is theos
value inglobal
.arch
: The architecture of the machine specified inhost
. If this field is not specified, the default value is thearch
value inglobal
.resource_control
: Resource control for the service. If this field is configured, the field content is merged with theresource_control
content inglobal
(if the two fields overlap, the content of this field takes effect). Then, a systemd configuration file is generated and sent to the machine specified inhost
. The configuration rules ofresource_control
are the same as theresource_control
content inglobal
.listen_host
: Specifies the listening address so that Alertmanager can be accessed through a proxy. It is recommended to configure it as0.0.0.0
. For more information, see Customize Alertmanager configurations.
For the above fields, you cannot modify these configured fields after the deployment:
host
web_port
cluster_port
deploy_dir
data_dir
log_dir
arch
os
A alertmanager_servers
configuration example is as follows:
alertmanager_servers:
- host: 10.0.1.11
config_file: /local/config/file
- host: 10.0.1.12
config_file: /local/config/file