ContextQMD
Back to Llama Index

Athena reader.

llama-index-integrations/readers/llama-index-readers-athena/README.md

0.14.211.5 KB
Original Source

Athena reader.

bash
pip install llama-index-readers-athena

pip install llama-index-llms-openai

Athena reader allow execute SQL with AWS Athena. We using SQLAlchemy and PyAthena under the hood.

Permissions

WE HIGHLY RECOMMEND USING THIS LOADER WITH AWS EC2 IAM ROLE.

Usage

Here's an example usage of the AthenaReader.

import os
import dotenv
from llama_index.core import SQLDatabase,ServiceContext
from llama_index.core.query_engine import NLSQLTableQueryEngine
from llama_index.llms.openai import OpenAI
from llama_index.readers.athena import AthenaReader

dotenv.load_dotenv()

AWS_REGION = os.environ['AWS_REGION']
S3_STAGING_DIR = os.environ['S3_STAGING_DIR']
DATABASE = os.environ['DATABASE']
WORKGROUP = os.environ['WORKGROUP']
TABLE = os.environ['TABLE']

llm = OpenAI(model="gpt-4",temperature=0, max_tokens=1024)

engine = AthenaReader.create_athena_engine(
    aws_region=AWS_REGION,
    s3_staging_dir=S3_STAGING_DIR,
    database=DATABASE,
    workgroup=WORKGROUP
)

service_context = ServiceContext.from_defaults(
  llm=llm
)

sql_database = SQLDatabase(engine, include_tables=[TABLE])

query_engine = NLSQLTableQueryEngine(
    sql_database=sql_database,
    tables=[TABLE],
    service_context=service_context
)
query_str = (
    "Which blocknumber has the most transactions?"
)
response = query_engine.query(query_str)

Screeshot