Amazon Athena

Amazon Athena can make use of structured and semistructured datasets based on common file types like CSV, JSON, and other columnar formats like Apache Parquet Amazon Athena can access encrypted data on Amazon S3 and has support for the AWS Key Management Service (KMS). When I execute Amazon Athena queries in SQL Workbench/J, in AWS Lambda, or with an AWS SDK, I get the error "Unable to verify/create output bucket" Short Description Here are some common causes of this error The Amazon Simple Storage Service (Amazon S3) bucket that you specified for the query result location doesn't exist. Athena is a new serverless query service that makes it easy to analyze large amounts of data stored in Amazon S3 using Standard SQL You simply point Athena at some data stored in Amazon Simple Storage Service (S3) , identify your fields, run your queries, and get results in seconds.
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The statement is the same as the one in the CloudTrail console Create a table in Amazon Athena dialog box, but adds a PARTITIONED BY clause that makes the table partitioned Modify s3// CloudTrail_bucket_name /AWSLogs/ Account_ID/ CloudTrail/ to point to the Amazon S3 bucket that contains your log data.

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Amazon athena. EXTERNAL Specifies that the table is based on an underlying data file that exists in Amazon S3, in the LOCATION that you specify All tables created in Athena, except for those created using CTAS, must be EXTERNALWhen you create an external table, the data referenced must comply with the default format or the format that you specify with the ROW FORMAT, STORED AS, and WITH SERDEPROPERTIES.

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