创建一个测试表

本页面介绍了创建小型 Bigtable 表的步骤, 测试代码段的方法。该表包含智能手机和平板电脑的时间序列数据。

这些说明使用 Google Cloud 控制台和 cbt CLI 、 专为 Bigtable 构建的命令行界面。

准备工作

在创建测试表之前,请先满足以下前提条件。

设置身份验证

In the Google Cloud console, activate Cloud Shell.

Activate Cloud Shell

At the bottom of the Google Cloud console, a Cloud Shell session starts and displays a command-line prompt. Cloud Shell is a shell environment with the Google Cloud CLI already installed and with values already set for your current project. It can take a few seconds for the session to initialize.

如需了解如何为生产环境设置身份验证,请参阅 Set up Application Default Credentials for code running on Google Cloud

授予 IAM 角色

为了获得创建测试表所需的权限, 请让管理员授予您 您的项目的 Bigtable 管理员 (roles/bigtable.admin) IAM 角色。 如需详细了解如何授予角色,请参阅管理访问权限

您也可以通过自定义角色或其他预定义角色来获取所需的权限。

安装 cbt CLI

运行以下命令以安装 cbt CLI :

  gcloud components install cbt

创建实例

在您选择的项目中,创建一个测试实例来存储您的测试表。该表非常小,因此您只需使用单节点实例。

  1. 在 Google Cloud 控制台中打开创建实例页面。

    创建实例

  2. 实例名称部分,输入 Test instance

  3. 实例 ID 部分,输入 test-instance

  4. 存储类型部分,选择 SSD

  5. 集群 ID 部分,输入 test-instance-c1

  6. 区域部分,选择您附近的一个区域。

  7. 地区部分,选择所选区域内的一个地区。

  8. 节点下,输入 1

  9. 点击创建以创建实例。

连接到实例

  1. 配置 cbt CLI 使用项目和实例 .cbtrc 文件,将 PROJECT_ID 替换为 ID (您在其中创建了 Bigtable 实例的项目):

    echo project = PROJECT_ID >> ~/.cbtrc && echo instance = test-instance >> ~/.cbtrc
    
  2. 验证 .cbtrc 文件的设置是否正确:

    cat ~/.cbtrc

    终端会显示 .cbtrc 文件的内容,如下所示:

    project = PROJECT_ID
    instance = test-instance

    现在,您可以使用 cbt CLI 实例

创建一个测试表

  1. 创建一个名为 test_table 且包含两个列族的表。针对每个列族,设置垃圾回收政策,以使每个列最多附加 2 个单元:

       cbt createtable test_table "families=stats_summary:maxversions=2,stats_detail:maxversions=2,cell_plan:maxversions=2"

  2. 列出列族:

       cbt ls test_table

    该终端会显示类似如下所示的输出:

        Family Name       GC Policy
        -----------       ---------
        stats_detail        versions() > 2
        stats_summary       versions() > 2
        cell_plan           versions() > 2

填充表

  1. 将以下命令复制到终端窗口中,然后按 Enter

      cbt set test_table phone#4c410523#20190501 stats_summary:connected_cell=1 stats_summary:connected_wifi=1 stats_summary:os_build=PQ2A.190405.003 cell_plan:data_plan_01gb=true cell_plan:data_plan_05gb=true
      cbt set test_table phone#4c410523#20190502 stats_summary:connected_cell=1 stats_summary:connected_wifi=1 stats_summary:os_build=PQ2A.190405.004 cell_plan:data_plan_05gb=true
      cbt set test_table phone#4c410523#20190505 stats_summary:connected_cell=0 stats_summary:connected_wifi=1 stats_summary:os_build=PQ2A.190406.000
      cbt set test_table phone#5c10102#20190501 stats_summary:connected_cell=1 stats_summary:connected_wifi=1 stats_summary:os_build=PQ2A.190401.002 cell_plan:data_plan_10gb=true
      cbt set test_table tablet#5c10102#20190502 stats_summary:connected_cell=1 stats_summary:connected_wifi=0 stats_summary:os_build=PQ2A.190406.000 cell_plan:data_plan_10gb=true
    
  2. 使用 cbt read 命令读取您已添加到表中的数据:

       cbt read test_table

    该终端会显示类似如下所示的输出。请注意,因为您的写入请求不包含时间戳,所以系统会自动将时间戳分配给单元格。

        ----------------------------------------
        phone#4c410523#20190501
          cell_plan:data_plan_01gb                 @ 2023/09/23-11:44:10.535000
            "true"
          cell_plan:data_plan_05gb                 @ 2023/09/23-11:44:10.535000
            "true"
          stats_summary:connected_cell             @ 2023/09/23-11:44:10.535000
            "1"
          stats_summary:connected_wifi             @ 2023/09/23-11:44:10.535000
            "1"
          stats_summary:os_build                   @ 2023/09/23-11:44:10.535000
            "PQ2A.190405.003"
        ----------------------------------------
        phone#4c410523#20190502
          cell_plan:data_plan_05gb                 @ 2023/09/23-11:44:11.545000
            "true"
          stats_summary:connected_cell             @ 2023/09/23-11:44:11.545000
            "1"
          stats_summary:connected_wifi             @ 2023/09/23-11:44:11.545000
            "1"
          stats_summary:os_build                   @ 2023/09/23-11:44:11.545000
            "PQ2A.190405.004"
        ----------------------------------------
        phone#4c410523#20190505\
          stats_summary:connected_cell             @ 2023/09/23-11:44:12.503000
            "0"
          stats_summary:connected_wifi             @ 2023/09/23-11:44:12.503000
            "1"
          stats_summary:os_build                   @ 2023/09/23-11:44:12.503000
            "PQ2A.190406.000"
        ----------------------------------------
        phone#5c10102#20190501
          cell_plan:data_plan_10gb                 @ 2023/09/23-11:44:13.553000
            "true"
          stats_summary:connected_cell             @ 2023/09/23-11:44:13.553000
            "1"
          stats_summary:connected_wifi             @ 2023/09/23-11:44:13.553000
            "1"
          stats_summary:os_build                   @ 2023/09/23-11:44:13.553000
            "PQ2A.190401.002"
        ----------------------------------------
        tablet#5c10102#20190502
          cell_plan:data_plan_10gb                 @ 2023/09/23-11:44:14.480000
            "true"
          stats_summary:connected_cell             @ 2023/09/23-11:44:14.480000
            "1"
          stats_summary:connected_wifi             @ 2023/09/23-11:44:14.480000
            "0"
          stats_summary:os_build                   @ 2023/09/23-11:44:14.480000
                 "PQ2A.190406.000"
    
  3. 可选:向相同的行和列写入新值。 Bigtable 会创建带有新时间戳的新单元来存储 数据的新版本。将以下命令复制到您的终端 窗口,然后按 Enter

      cbt set test_table phone#4c410523#20190501 stats_summary:connected_cell=2 stats_summary:connected_wifi=5 stats_summary:os_build=PQ2A.190405.003 cell_plan:data_plan_01gb=true cell_plan:data_plan_05gb=false
      cbt set test_table phone#4c410523#20190502 stats_summary:connected_cell=2 stats_summary:connected_wifi=5 stats_summary:os_build=PQ2A.190405.004 cell_plan:data_plan_05gb=false
      cbt set test_table phone#4c410523#20190505 stats_summary:connected_cell=1 stats_summary:connected_wifi=4 stats_summary:os_build=PQ2A.190406.000
      cbt set test_table phone#5c10102#20190501 stats_summary:connected_cell=3 stats_summary:connected_wifi=3 stats_summary:os_build=PQ2A.190401.002 cell_plan:data_plan_10gb=false
      cbt set test_table tablet#5c10102#20190502 stats_summary:connected_cell=2 stats_summary:connected_wifi=0 stats_summary:os_build=PQ2A.190406.000 cell_plan:data_plan_10gb=false
    
  4. 使用 cbt read 命令读取表中的所有数据:

       cbt read test_table

    该终端会显示类似如下所示的输出。现在,每一列 包含两个具有唯一时间戳的单元。

      ----------------------------------------
      phone#4c410523#20190501
        cell_plan:data_plan_01gb                 @ 2024/07/09-17:48:21.191000
        "true"
        cell_plan:data_plan_01gb                 @ 2024/07/09-17:46:09.369000
        "true"
        cell_plan:data_plan_05gb                 @ 2024/07/09-17:48:21.191000
        "false"
        cell_plan:data_plan_05gb                 @ 2024/07/09-17:46:09.369000
        "true"
        stats_summary:connected_cell             @ 2024/07/09-17:48:21.191000
        "2"
        stats_summary:connected_cell             @ 2024/07/09-17:46:09.369000
        "1"
        stats_summary:connected_wifi             @ 2024/07/09-17:48:21.191000
        "5"
        stats_summary:connected_wifi             @ 2024/07/09-17:46:09.369000
        "1"
        stats_summary:os_build                   @ 2024/07/09-17:48:21.191000
        "PQ2A.190405.003"
        stats_summary:os_build                   @ 2024/07/09-17:46:09.369000
        "PQ2A.190405.003"
    
      ----------------------------------------
      phone#4c410523#20190502
        cell_plan:data_plan_05gb                 @ 2024/07/09-17:48:22.205000
        "false"
        cell_plan:data_plan_05gb                 @ 2024/07/09-17:46:10.455000
        "true"
        stats_summary:connected_cell             @ 2024/07/09-17:48:22.205000
        "2"
        stats_summary:connected_cell             @ 2024/07/09-17:46:10.455000
        "1"
         stats_summary:connected_wifi             @ 2024/07/09-17:48:22.205000
        "5"
        stats_summary:connected_wifi             @ 2024/07/09-17:46:10.455000
        "1"
        stats_summary:os_build                   @ 2024/07/09-17:48:22.205000
        "PQ2A.190405.004"
        stats_summary:os_build                   @ 2024/07/09-17:46:10.455000
        "PQ2A.190405.004"
    
      ----------------------------------------
      phone#4c410523#20190505
        stats_summary:connected_cell             @ 2024/07/09-17:48:23.206000
        "1"
        stats_summary:connected_cell             @ 2024/07/09-17:46:11.402000
        "0"
        stats_summary:connected_wifi             @ 2024/07/09-17:48:23.206000
        "4"
        stats_summary:connected_wifi             @ 2024/07/09-17:46:11.402000
        "1"
        stats_summary:os_build                   @ 2024/07/09-17:48:23.206000
        "PQ2A.190406.000"
        stats_summary:os_build                   @ 2024/07/09-17:46:11.402000
        "PQ2A.190406.000"
    
      ----------------------------------------
      phone#5c10102#20190501
        cell_plan:data_plan_10gb                 @ 2024/07/09-17:48:24.172000
        "false"
        cell_plan:data_plan_10gb                 @ 2024/07/09-17:46:12.388000
        "true"
        stats_summary:connected_cell             @ 2024/07/09-17:48:24.172000
        "3"
        stats_summary:connected_cell             @ 2024/07/09-17:46:12.388000
        "1"
        stats_summary:connected_wifi             @ 2024/07/09-17:48:24.172000
        "3"
        stats_summary:connected_wifi             @ 2024/07/09-17:46:12.388000
        "1"
        stats_summary:os_build                   @ 2024/07/09-17:48:24.172000
        "PQ2A.190401.002"
        stats_summary:os_build                   @ 2024/07/09-17:46:12.388000
        "PQ2A.190401.002"
    
      ----------------------------------------
      tablet#5c10102#20190502
        cell_plan:data_plan_10gb                 @ 2024/07/09-17:48:25.194000
        "false"
        cell_plan:data_plan_10gb                 @ 2024/07/09-17:46:13.391000
        "true"
        stats_summary:connected_cell             @ 2024/07/09-17:48:25.194000
        "2"
        stats_summary:connected_cell             @ 2024/07/09-17:46:13.391000
        "1"
        stats_summary:connected_wifi             @ 2024/07/09-17:48:25.194000
        "0"
        stats_summary:connected_wifi             @ 2024/07/09-17:46:13.391000
        "0"
        stats_summary:os_build                   @ 2024/07/09-17:48:25.194000
        "PQ2A.190406.000"
        stats_summary:os_build                   @ 2024/07/09-17:46:13.391000
        "PQ2A.190406.000"
    

使用测试数据

您现在可以在 test-instance 上使用 test_table 来测试代码示例或查询。

清理

为避免系统因这些步骤中创建的资源向您的 Google Cloud 账号收取费用,请在完成测试后立即删除实例。删除 .cbtrc 文件后,您就可以开始处理另一个项目了。

  1. 如果您要保留实例但删除表,可以使用 deletetable 命令:

       cbt deletetable test_table

  2. 如果您不打算使用该实例进行进一步测试,请删除该实例。此操作也会删除该表格。

       cbt deleteinstance test-instance

  3. 删除 .cbtrc 文件:

       rm ~/.cbtrc

后续步骤