Help Center > > Developer Guide> Data Export> Using gs_dump and gs_dumpall to Export Data> Exporting a Single Database> Exporting a Schema

Exporting a Schema

Updated at: Sep 17, 2021 GMT+08:00

You can use gs_dump to export data and all object definitions of a schema from GaussDB(DWS). You can export one or more specified schemas as needed. You can specify the information to be exported as follows:

  • Export full information of a schema, including its data and object definitions.
  • Export data of a schema, excluding its object definitions.
  • Export the object definitions of a schema, including the definitions of tables, stored procedures, and indexes.

Procedure

  1. Prepare an ECS as the gsql client host.
  2. Log in to the server as the root user and run the following command to go to the data storage path:

    1
    cd /opt/bin
    

  3. Use gs_dump to run the following command to export the hr and public schemas.

    gs_dump -W Bigdata@123 -U jack -f /home//backup/MPPDB_schema_backup -p 8000 -h 10.10.10.100 human_resource -n hr -F d 
    Table 1 Common parameters

    Parameter

    Description

    Example Value

    -U

    Username for connecting to the database. If this parameter is not configured, the username of the connected database is used.

    -U jack

    -W

    User password for database connection.

    • This parameter is not required for database administrators if the trust policy is used for authentication.
    • If you connect to the database without specifying this parameter and you are not a database administrator, you will be prompted to enter the password.

    -W Bigdata@123

    -f

    Folder to store exported files. If this parameter is not specified, the exported files are stored in the standard output.

    -f /home//backup/MPPDB_schema_backup

    -p

    Name extension of the TCP port on which the server is listening or the local Unix domain socket. This parameter is configured to ensure connections.

    -p 8000

    -h

    Cluster address: If a public network address is used for connection, set this parameter to Public Network Address or Public Network Domain Name. If a private network address is used for connection, set this parameter to Private Network Address or Private Network Domain Name.

    -h 10.10.10.100

    dbname

    Name of the database to be exported.

    human_resource

    -n

    Names of schemas to be exported. Data of the specified schemas will also be exported.

    • Single schema: Enter -n schemaname.
    • Multiple schemas: Enter -n schemaname for each schema.
    • Single schema: -n hr
    • Multiple schemas: -n hr -n public

    -F

    Format of exported files. The values of -F are as follows:

    • p: plain text
    • c: custom
    • d: directory
    • t: .tar

    -F d

    For details about other parameters, see "gs_dump" in the Tool Guide.

Examples

Example 1: Use gs_dump to run the following command to export full information of the hr schema. The exported files are compressed and stored in text format.
gs_dump -W Bigdata@123 -f /home//backup/MPPDB_schema_backup.sql -p 8000 -h 10.10.10.100 human_resource -n hr -Z 6 -F p
gs_dump[port=''][human_resource][2017-07-21 16:05:55]: dump database human_resource successfully
gs_dump[port=''][human_resource][2017-07-21 16:05:55]: total time: 2425  ms
Example 2: Use gs_dump to run the following command to export data of the hr schema. The exported files are in .tar format.
gs_dump -W Bigdata@123 -f /home//backup/MPPDB_schema_data_backup.tar -p 8000 -h 10.10.10.100 human_resource -n hr -a -F t
gs_dump[port=''][human_resource][2018-11-14 15:07:16]: dump database human_resource successfully
gs_dump[port=''][human_resource][2018-11-14 15:07:16]: total time: 1865  ms
Example 3: Use gs_dump to run the following command to export the definition of the hr schema. The exported files are stored in a directory.
gs_dump -W Bigdata@123 -f /home//backup/MPPDB_schema_def_backup -p 8000 -h 10.10.10.100 human_resource -n hr -s -F d
gs_dump[port=''][human_resource][2018-11-14 15:11:34]: dump database human_resource successfully
gs_dump[port=''][human_resource][2018-11-14 15:11:34]: total time: 1652  ms
Example 4: Use gs_dump to run the following command to export the human_resource database excluding the hr schema. The exported files are in a custom format.
gs_dump -W Bigdata@123 -f /home//backup/MPPDB_schema_backup.dmp -p 8000 -h 10.10.10.100 human_resource -N hr -F c
gs_dump[port=''][human_resource][2017-07-21 16:06:31]: dump database human_resource successfully
gs_dump[port=''][human_resource][2017-07-21 16:06:31]: total time: 2522  ms
Example 5: Use gs_dump to run the following command to export the object definitions of the hr and public schemas, encrypt the exported files, and store them in .tar format.
gs_dump -W Bigdata@123 -f /home//backup/MPPDB_schema_backup1.tar -p 8000 -h 10.10.10.100 human_resource -n hr -n public -s --with-encryption AES128 --with-key 1234567812345678 -F t
gs_dump[port=''][human_resource][2017-07-21 16:07:16]: dump database human_resource successfully
gs_dump[port=''][human_resource][2017-07-21 16:07:16]: total time: 2132  ms
Example 6: Use gs_dump to run the following command to export the human_resource database excluding the hr and public schemas. The exported files are in a custom format.
gs_dump -W Bigdata@123 -f /home//backup/MPPDB_schema_backup2.dmp -p 8000 -h 10.10.10.100 human_resource -N hr -N public -F c
gs_dump[port=''][human_resource][2017-07-21 16:07:55]: dump database human_resource successfully
gs_dump[port=''][human_resource][2017-07-21 16:07:55]: total time: 2296  ms

Example 7: Use gs_dump to run the following command to export all tables, including views, sequences, and foreign tables, in the public schema, and the staffs table in the hr schema, including data and table definition. The exported files are in a custom format.

gs_dump -W Bigdata@123 -f /home//backup/MPPDB_backup3.dmp -p 8000 -h 10.10.10.100 human_resource -t public.* -t hr.staffs -F c
gs_dump[port=''][human_resource][2018-12-13 09:40:24]: dump database human_resource successfully
gs_dump[port=''][human_resource][2018-12-13 09:40:24]: total time: 896  ms

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