Bigtable Cluster Tables Should Have Timestamp Granularity Set To 1ms
More Info:
Ensure that Bigtable cluster tables timestamp granularity is set to 1ms.Risk Level
LowAddress
Operational MaturityCompliance Standards
CBPTriage and Remediation
Remediation
Using Console
Using Console
To remediate the misconfiguration of Bigtable Cluster Tables should have timestamp granularity set to 1ms in GCP using GCP console, follow these steps:
- Open the GCP console and navigate to the Cloud Bigtable section.
- Select the Bigtable instance that you want to remediate.
- In the left navigation pane, click on the “Tables” option.
- Select the table that you want to remediate and click on the “Edit” button.
- Scroll down to the “Column families” section and click on the column family that contains the timestamp column.
- In the “Column family” settings, set the “Timestamp granularity” to “Milliseconds”.
- Click on the “Save” button to apply the changes.
- Repeat steps 4-7 for all the tables in the Bigtable instance that have timestamp columns.
Using CLI
Using CLI
To remediate the misconfiguration of Bigtable Cluster Tables having timestamp granularity set to 1ms in GCP using GCP CLI, follow these steps:Replace Replace This command will display the details of your Bigtable Cluster, including the timestamp granularity.By following these steps, you can remediate the misconfiguration of Bigtable Cluster Tables having timestamp granularity set to 1ms in GCP using GCP CLI.
- Open the terminal and ensure that you have the latest version of the Google Cloud SDK installed.
- Authenticate yourself with the GCP CLI by running the following command:
- Set the default project for the CLI by running the following command:
PROJECT_ID with the ID of the project where your Bigtable Cluster is located.- Run the following command to update the timestamp granularity of your Bigtable Cluster:
CLUSTER_NAME, CLUSTER_ID, and INSTANCE_NAME with the respective names of your Bigtable Cluster, Cluster ID, and Instance.- Verify that the timestamp granularity has been set to 1ms by running the following command:
Using Python
Using Python
To remediate the Bigtable Cluster Tables Timestamp Granularity issue in GCP using Python, you can follow these steps:This should remediate the Bigtable Cluster Tables Timestamp Granularity issue in GCP using Python.
- Install the
google-cloud-bigtablelibrary using pip:
- Import the required libraries:
- Create a
bigtable.Clientobject and abigtable.Tableobject:
- Get the column family and update the timestamp granularity:
- Confirm that the column family has been updated: