Greetings from AWS!
Please note that there is no built in way to retrieve the cached result of an SQL statement in a JSON format, please refer to our documentation on GetStatementResult .
Having that said, one can process the data to format the result if you want to display it in a user-friendly format. By using the Data API with Python you can format the results with the Pandas framework, you can use the Data API with other programming languages supported by the AWS SDK, see example below and a detailed article on Using the Amazon Redshift Data API . Please note that the below code is for example purposes only and you can use python in a similar way to format the records in json format.
import pandas as pd def post_process(meta, records): columns = [k["name"] for k in meta] rows =  for r in records: tmp =  for c in r: tmp.append(c[list(c.keys())]) rows.append(tmp) return pd.DataFrame(rows, columns=columns) def query(sql, cluster="<Cluster Name>", user="<User Name>", database="<Database Name>"): resp = rsd.execute_statement( Database=database, ClusterIdentifier=cluster, DbUser=user, Sql=sql ) qid = resp["Id"] print(qid) desc = None while True: desc = rsd.describe_statement(Id=qid) if desc["Status"] == "FINISHED": break print(desc["ResultRows"]) if desc and desc["ResultRows"] > 0: result = rsd.get_statement_result(Id=qid) rows, meta = result["Records"], result["ColumnMetadata"] return post_process(meta, rows) pf=query("select venueid,venuename from venue limit 100;") print(pf)
I hope this would be of value to you, have an AWSome day further.
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