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        "description": "# pythena\n\nThis is a simple python module that will allow you to query athena the same way the AWS Athena console would. It only requires a database name and query string.\n\n## Install\n```bash\npip install pythena\n```\n\n## Setup\nBe sure to set up your AWS authentication credentials. You can do so by using the aws cli and running\n```\npip install awscli\naws configure\n```\nMore help on configuring the aws cli here https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html\n\n\n## Simple Usage\n\n```python\nimport pythena\n\nathena_client = pythena.Athena(\"mydatabase\") \n\n# Returns results as a pandas dataframe\ndf = athena_client.execute(\"select * from mytable\")\n\nprint(df.sample(n=2)) # Prints 2 rows from your dataframe\n```\n\n## Connect to Database\n```python\nimport pythena\n\n# Connect to a database\nathena_client = pythena.Athena(database=\"mydatabase\")\n# Connect to a database and override default aws region in your aws configuration\nathena_client = pythena.Athena(database=\"mydatabase\", region='us-east-1')\n\n```\n\n## athena_client.execute()\n```\nexecute(\n  query = 'SQL_QUERY',                 # Required\n  s3_output_url='FULL_S3_PATH',        # Optional (Format example: 's3://mybucket/mydir'\n  save_results=TRUE | FALSE            # Optional. Defaults to True only when 's3_output_url' is provided. If True, the s3 results will not be deleted and an tuple is returned with the execution_id.\n  run_async=TRUE | FALSE               # Optional. If True, allows you to run the query asynchronously. Returns execution_id, use get_result(execution_id) to fetch it when finished\n)\n```\n\n## Full Usage Examples\n\n```python\nimport pythena\n\n# Prints out all databases listed in the glue catalog\npythena.print_databases()\npythena.print_databases(region='us-east-1') # Overrides default region\n\n# Gets all databases and returns as a list\npythena.get_databases()\npythena.get_databases(region='us-east-1') # Overrides default region\n\n# Connect to a database\nathena_client = pythena.Athena(database=\"mydatabase\")\n\n# Prints out all tables in a database\nathena_client.print_tables()\n\n# Gets all tables in the database you are connected to and returns as a list\nathena_client.get_tables()\n\n# Execute a query\ndataframe = athena_client.execute(query=\"select * from my_table\") # Results are  returned as a dataframe\n\n# Execute a query and save results to s3\ndataframe = athena_client.execute(query=\"select * from my_table\", s3_output_url=\"s3://mybucket/mydir\") # Results are  returned as a dataframe\n\n# Get Execution Id and save results\ndataframe, execution_id = athena_client.execute(query=\"select * from my_table\", save_results=True)\n\n# Execute a query asynchronously\nexecution_id = athena_client.execute(query=\"select * from my_table\", run_async=True) # Returns just the execution id \ndataframe = athena_client.get_result(execution_id) # Will report errors if query failed or let you know if it is still running\n\n# With asynchronous queries, can check status, get error, or cancel\npythena.get_query_status(execution_id)\npythena.get_query_error(execution_id)\npythena.cancel_query(execution_id)\n\n```\n\n## Note\nBy default, when executing athena queries, via boto3 or the AWS athena console, the results are saved in an s3 bucket. This module by default, assuming a successful execution, will delete the s3 result file to keep s3 clean. If an s3_output_url is provided, then the results will be saved to that location and will not be deleted.\n\n\n",
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