from pyathena import connect
import pandas as pd
conn = connect(aws_access_key_id='YOUR_ACCESS_KEY_ID',
aws_secret_access_key='YOUR_SECRET_ACCESS_KEY',
s3_staging_dir='s3://YOUR_S3_BUCKET/path/to/',
region_name='us-west-2')
res = pd.read_sql("select * from db_name.tablename",conn)
How can I specify the database name in the connect framework itself or is there any workaround this?
You can add schema_name as parameter to connect(). The default value is schema_name='default'
For example:
conn = connect(aws_access_key_id='YOUR_ACCESS_KEY_ID',
schema_name='my_schema',
aws_secret_access_key='YOUR_SECRET_ACCESS_KEY',
s3_staging_dir='s3://YOUR_S3_BUCKET/path/to/',
region_name='us-west-2')
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