1. Open the GCP console and navigate to the Cloud Bigtable section.
2. Select the Bigtable instance that you want to remediate.
3. In the left navigation pane, click on the “Tables” option.
4. Select the table that you want to remediate and click on the “Edit” button.
5. Scroll down to the “Column families” section and click on the column family that contains the timestamp column.
6. In the “Column family” settings, set the “Timestamp granularity” to “Milliseconds”.
7. Click on the “Save” button to apply the changes.
8. Repeat steps 4-7 for all the tables in the Bigtable instance that have timestamp columns.

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1. Open the terminal and ensure that you have the latest version of the Google Cloud SDK installed.
2. Authenticate yourself with the GCP CLI by running the following command:

gcloud auth login

3. Set the default project for the CLI by running the following command:

gcloud config set project PROJECT_ID

4. Run the following command to update the timestamp granularity of your Bigtable Cluster:

gcloud bigtable clusters update CLUSTER_NAME --cluster-id=CLUSTER_ID --instance=INSTANCE_NAME --timestamp-granularity=ms

5. Verify that the timestamp granularity has been set to 1ms by running the following command:

gcloud bigtable clusters describe CLUSTER_NAME --cluster-id=CLUSTER_ID --instance=INSTANCE_NAME

1. Install the google-cloud-bigtable library using pip:

pip install google-cloud-bigtable

2. Import the required libraries:

from google.cloud import bigtable
from google.cloud.bigtable import column_family

3. Create a bigtable.Client object and a bigtable.Table object:

client = bigtable.Client(project=<project_id>, admin=True)
table = client.table('<instance_id>', '<table_id>')

4. Get the column family and update the timestamp granularity:

column_family_id = '<column_family_id>'
column_family = column_family.ColumnFamily(column_granularity_millis=1)
table.column_family(column_family_id).modify_column_family(column_family)

5. Confirm that the column family has been updated:

column_families = table.list_column_families()
for column_family_id, column_family in column_families.items():
    print('Column Family:', column_family_id)
    print('Timestamp Granularity:', column_family.column_granularity_millis)