How to use Python to operate TimestreamDB
To operate TimestreamDB using Python, you can use the AWS SDK for Python (Boto3) to access the TimestreamDB service. The following are the required dependency libraries and Python code examples:
Dependency library:
1. Boto3: AWS's official Python SDK, used to access TimestreamDB services.
pip install boto3
Python code example:
1. Import dependency libraries and set AWS authentication information:
python
import boto3
#Set AWS authentication information
session = boto3.Session(
aws_access_key_id='<YOUR_ACCESS_KEY>',
aws_secret_access_key='<YOUR_SECRET_ACCESS_KEY>',
region_name='<YOUR_REGION>'
)
#Using the TimestreamQuery client
query_client = session.client('timestream-query')
2. Query data:
python
#Define query statements
query = 'SELECT * FROM "MyDatabase"."MyTable" WHERE time >= ago(1h) LIMIT 10'
#Execute Query
response = query_client.query(QueryString=query)
#Process response results
for row in response['Rows']:
data = []
for column_info in row['Data']:
data.append(list(column_info.values())[0])
print(data)
3. Write data:
python
#Define the data format and table name to be written
table_name = 'MyTable'
dimensions = [
{'Name': 'Region', 'Value': 'us-west-2'},
{'Name': 'Service', 'Value': 'EC2'}
]
measure_name = 'CPUUtilization'
measure_value = '13.5'
time = str(int(datetime.now().timestamp() * 1000000))
#Create a Record object
record = {
'Dimensions': dimensions,
'MeasureName': measure_name,
'MeasureValue': measure_value,
'Time': time,
'TimeUnit': 'MICROSECONDS'
}
#Write data
query_client.write_records(DatabaseName='MyDatabase', TableName=table_name, Records=[record])
4. Delete data:
python
#Delete data related to a given time range and dimension
query = 'DELETE FROM "MyDatabase"."MyTable" USING "MyDatabase"."MyTable" '\
'WHERE time BETWEEN ago(7d) AND ago(5d)'\
' AND "Region"=\'us-west-2\' AND "Service"=\'EC2\''
response = query_client.query(QueryString=query)
Please replace the placeholders in the above example code according to your specific situation, such as'<YOU '_ ACCESS_ KEY, YOU_ SECRET_ ACCESS_ KEY and YOU_ REGION>` needs to be replaced with your own AWS access key and region information. And please make corresponding adjustments according to the data model, table structure, and query requirements of TimestreamDB.
