So far, I was able to parse and load file to S3 and generate scripts that can be run on Athena to create tables … Main Function for create the Athena Partition on daily NOTE: I have created this script to add partition as current date +1(means tomorrow’s date). To manually create an EXTERNAL table, write the statement CREATE EXTERNAL TABLE following the correct structure and specify the correct format and accurate location. To create these tables, we feed Athena the column names and data types that our files had and the location in Amazon S3 where they can be found. 2) Create external tables in Athena from the workflow for the files. events (` user_id ` string, ` event_name ` string, ` c ` … 3) Load partitions by running a script dynamically to load partitions in the newly created Athena tables . We create External tables like Hive in Athena (either automatically by AWS Glue crawler or manually by DDL statement). 3. Afterward, execute the following query to create a table. Then put the access and secret key for an IAM user you have created (preferably with limited S3 and Athena privileges). Thanks to the Create Table As feature, it’s a single query to transform an existing table to a table backed by Parquet. Data virtualization and data load using PolyBase 2. Creating Table in Amazon Athena using API call. To create the table and describe the external schema, referencing the columns and location of my s3 files, I usually run DDL statements in aws athena. CREATE EXTERNAL TABLE `athenatestingduplicatecolumn_athenatesting` (`column1` bigint, `column2` bigint, `column3` bigint, `column1` bigint) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS INPUTFORMAT 'org.apache.hadoop.mapred.TextInputFormat' OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat' LOCATION 's3://doc-example … Creating an External table manually Once created these EXTERNAL tables are stored in the AWS Glue Catalog. Create External table in Athena service over the data file bucket. CREATE EXTERNAL TABLE demodbdb ( data struct< name:string, age:string cars:array > ) ROW FORMAT SERDE 'org.openx.data.jsonserde.JsonSerDe' LOCATION 's3://priyajdm/'; I got the following error: In this post, we address the CloudTrail log file but realize that there are an infinite number of other use cases. By the way, Athena supports JSON format, tsv, csv, PARQUET and AVRO formats. Using compressions will reduce the amount of data scanned by Amazon Athena, and also reduce your S3 bucket storage. Creates an external data source for PolyBase queries. In HIVE there are two ways to create tables: Managed Tables and External Tables when we create a table in HIVE, HIVE by default manages the data and saves it in its own warehouse, where as we can also create an external table, which is at an … Presto and Athena support reading from external tables using a manifest file, which is a text file containing the list of data files to read for querying a table.When an external table is defined in the Hive metastore using manifest files, Presto and Athena can use the list of files in the manifest rather than finding the files by directory listing. 4. also if you are using partitions in spark, make sure to include in your table schema, or athena will complain about missing key when you query (it is the partition key) after you create the external table, run the following to add your data/partitions: spark.sql(f'MSCK REPAIR TABLE `{database-name}`.`{table-name}`') I took the create syntax directly from the tutorial in the Athena docs. 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