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Querying GaussDB backups GaussDB backup files are stored in OBS buckets and are not visible to you. Specification changes Before you change the instance specifications, ensure that the instance is available.
Value range: an integer ranging from 0 to 2 For details about how to modify this parameter, see Table 1. 0 indicates that no DR relationship is established. 1 indicates that the OBS DR relationship is established. 2 indicates that the streaming DR relationship is established.
Value range: an integer ranging from 0 to 2 For details about how to modify this parameter, see Table 1. 0 indicates that no DR relationship is established. 1 indicates that the OBS DR relationship is established. 2 indicates that the streaming DR relationship is established.
For details about how to modify the parameter, see Table 1. 0 indicates that no DR relationship is established. 1 indicates that the OBS DR relationship is established. 2 indicates that the streaming DR relationship is established. Default value: 0 Parent topic: CM Parameters
Value range: an integer ranging from 0 to 2 For details about how to modify this parameter, see Table 2. 0 indicates that no DR relationship is established. 1 indicates that the OBS DR relationship is established. 2 indicates that the streaming DR relationship is established.
Value range: an integer ranging from 0 to 2 For details about how to modify this parameter, see Table 2. 0 indicates that no DR relationship is established. 1 indicates that the OBS DR relationship is established. 2 indicates that the streaming DR relationship is established.
For details about how to modify the parameter, see Table 2. 0 indicates that no DR relationship is established. 1 indicates that the OBS DR relationship is established. 2 indicates that the streaming DR relationship is established.
Unit: none Value range: on: The query covering OBS is accelerated based on the cost when the computing resource pool is available. off: No query is accelerated using the computing resource pool. Default value: off Setting method: This is a USERSET parameter.
hash table that contains I/O information of the current DN WorkloadCGroupHashLock Used to prevent concurrent access to or concurrent modification on a hash table that contains Cgroup information OBSGetPathLock Used to prevent concurrent read/write or concurrent write/write on an OBS
OBSGetPathLock Used to prevent concurrent read/write or concurrent write/write on an OBS path. WorkloadUserInfoLock Used to prevent concurrent access to or concurrent modification on a hash table that contains user information about load management. (This is a lab feature.
The OBS foreign table is read-only by default. Precautions The foreign table is owned by the user who runs the statement. The distribution mode of a GDS foreign table does not need to be explicitly specified. The default mode is ROUNDROBIN.
ERRMSG: "OBS and HDFS foreign table can NOT be in the same plan." SQLSTATE: XX008 CAUSE: "SQL uses unsupported feature." ACTION: "Modify SQL statement according to the manual."
ERRMSG: "OBS and HDFS foreign table can NOT be in the same plan." SQLSTATE: XX008 CAUSE: "SQL uses unsupported feature." ACTION: "Modify SQL statement according to the manual."
Scheduled Jobs job_queue_processes Parameter description: Specifies the number of jobs that can be concurrently executed. Parameter type: integer. Unit: none Value range: 0 to 1000 Setting job_queue_processes to 0 indicates that the scheduled job function is disabled and that no job
Managing Scheduled Jobs Context Time-consuming jobs, such as summarizing statistics or synchronizing data from another database, affect service performance if they are performed during the daytime and incur overtime hours if performed at night. To solve this problem, the GaussDB Kernel
Managing Scheduled Jobs Context Time-consuming jobs, such as summarizing statistics or synchronizing data from another database, affect service performance if they are performed during the daytime and incur overtime hours if performed at night. To solve this problem, the GaussDB Kernel
Creating and Managing Scheduled Jobs Context Time-consuming jobs, such as summarizing statistics or synchronizing data from another database, affect service performance if they are performed during the daytime and incur overtime hours if performed at night. To solve this problem,
Creating and Managing Scheduled Jobs Context Time-consuming jobs, such as summarizing statistics or synchronizing data from another database, affect service performance if they are performed during the daytime and incur overtime hours if performed at night. To solve this problem,
Creating and Managing Scheduled Jobs Background Time-consuming jobs, such as summarizing statistics or synchronizing data from another database, affect service performance if they are performed during the daytime and incur overtime hours if performed at night. To solve this problem
Creating and Managing Scheduled Jobs Context Time-consuming jobs, such as summarizing statistics or synchronizing data from another database, affect service performance if they are performed during the daytime and incur overtime hours if performed at night. To solve this problem,
