使用gsql操作密态数据库

操作步骤

  1. 以操作系统用户omm登录CN所在主机。

  2. 执行以下命令打开密态开关，连接密态数据库。

    1. gsql -p PORT postgres -r -C

  3. 创建客户端主密钥CMK和列加密密钥CEK。创建CMK的语法请参考CREATE CLIENT MASTER KEY、创建的CEK的语法请参考CREATE COLUMN ENCRYPTION KEY。

    1. --创建客户端加密主密钥(CMK)
    2. openGauss=# CREATE CLIENT MASTER KEY ImgCMK1 WITH (KEY_STORE = localkms, KEY_PATH = "key_path_value1", ALGORITHM = RSA_2048);
    3. openGauss=# CREATE CLIENT MASTER KEY ImgCMK WITH (KEY_STORE = localkms, KEY_PATH = "key_path_value2", ALGORITHM = RSA_2048);
    4. openGauss=# CREATE COLUMN ENCRYPTION KEY ImgCEK1 WITH VALUES (CLIENT_MASTER_KEY = ImgCMK1, ALGORITHM  = AEAD_AES_256_CBC_HMAC_SHA256);
    5. CREATE COLUMN ENCRYPTION KEY
    6. openGauss=# CREATE COLUMN ENCRYPTION KEY ImgCEK WITH VALUES (CLIENT_MASTER_KEY = ImgCMK, ALGORITHM  = AEAD_AES_256_CBC_HMAC_SHA256);
    7. CREATE COLUMN ENCRYPTION KEY

    查询存储密钥信息的系统表结果如下。

    1. openGauss=# SELECT * FROM gs_client_global_keys;
    2.  global_key_name | key_namespace | key_owner | key_acl |        create_date
    3. -----------------+---------------+-----------+---------+----------------------------
    4.  imgcmk1         |          2200 |        10 |         | 2021-04-21 11:04:00.656617
    5.  imgcmk          |          2200 |        10 |         | 2021-04-21 11:04:05.389746
    6. (2 rows)
    7. openGauss=# SELECT column_key_name,column_key_distributed_id ,global_key_id,key_owner  FROM gs_column_keys;
    8.  column_key_name | column_key_distributed_id | global_key_id | key_owner
    9. -----------------+---------------------------+---------------+-----------
    10.  imgcek1         |                 760411027 |         16392 |        10
    11.  imgcek          |                3618369306 |         16398 |        10
    12. (2 rows)

  4. 创建加密表。

    1. openGauss=# CREATE TABLE creditcard_info (id_number    int, name         text encrypted with (column_encryption_key = ImgCEK, encryption_type = DETERMINISTIC),
    2. credit_card  varchar(19) encrypted with (column_encryption_key = ImgCEK1, encryption_type = DETERMINISTIC));
    3. NOTICE:  The 'DISTRIBUTE BY' clause is not specified. Using 'id_number' as the distribution column by default.
    4. HINT:  Please use 'DISTRIBUTE BY' clause to specify suitable data distribution column.
    5. CREATE TABLE

    查询表的详细信息如下，Modifiers值为encrypted则表示该列是加密列。

    1. openGauss=# \d creditcard_info
    2.         Table "public.creditcard_info"
    3.    Column    |       Type        | Modifiers
    4. -------------+-------------------+------------
    5.  id_number   | integer           |
    6.  name        | text              |  encrypted
    7.  credit_card | character varying |  encrypted

  5. 向加密表插入数据并进行等值查询。

    1. openGauss=# INSERT INTO creditcard_info VALUES (1,'joe','6217986500001288393');
    2. INSERT 0 1
    3. openGauss=# INSERT INTO creditcard_info VALUES (2, 'joy','6219985678349800033');
    4. INSERT 0 1
    5. openGauss=# select * from creditcard_info where name = 'joe';
    6.  id_number | name |     credit_card
    7. -----------+------+---------------------
    8.          1 | joe  | 6217986500001288393
    9. (1 row)
    10. 注意：使用非密态客户端查看该加密表数据时是密文
    11. openGauss=# select id_number,name from creditcard_info;
    12.  id_number |                                                                         name
    13. -----------+------------------------------------------------------------------------------------------------------------------------------------------------------
    14.          1 | \x011aefabd754ded0a536a96664790622487c4d366d313aecd5839e410a46d29cba96a60e4831000000ee79056a114c9a6c041bb552b78052e912a8b730609142074c63791abebd0d38
    15.          2 | \x011aefabd76853108eb406c0f90e7c773b71648fa6e2b8028cf634b49aec65b4fcfb376f3531000000f7471c8686682de215d09aa87113f6fb03884be2031ef4dd967afc6f7901646b
    16. (2 rows)

  6. （可选）对加密表进行alter和update操作。

    1. openGauss=# ALTER TABLE creditcard_info ADD COLUMN age int ENCRYPTED WITH (COLUMN_ENCRYPTION_KEY = ImgCEK, ENCRYPTION_TYPE = DETERMINISTIC);
    2. ALTER TABLE
    3. openGauss=# \d creditcard_info
    4.         Table "public.creditcard_info"
    5.    Column    |       Type        | Modifiers
    6. -------------+-------------------+------------
    7.  id_number   | integer           |
    8.  name        | text              |  encrypted
    9.  credit_card | character varying |  encrypted
    10.  age         | integer           |  encrypted
    11. openGauss=# ALTER TABLE creditcard_info DROP COLUMN age;
    12. ALTER TABLE
    13. openGauss=# update creditcard_info set credit_card = '80000000011111111' where name = 'joy';
    14. UPDATE 1
    15. openGauss=# select * from creditcard_info  where name = 'joy';
    16.  id_number | name |    credit_card
    17. -----------+------+-------------------
    18.          2 | joy  | 80000000011111111
    19. (1 row)