Also if you need you can get the s3 location and other parameters from the user input. If you don’t want to use this, you can remove these options from the unload_query. Then I used multiple options like parallel, max file size, include headers and compress. Here, Im getting the table name from input. Insert into unload_meta (tablename, start_time, end_time, export_query) values (v_tablename,starttime,endtime,unload_query) This program will need Redshift login credentials and not IAM credentials (Redshift username, password). Create a Python program that connects to Redshift, in a manner similar to other databases such as SQL Server, and execute your query. Iamrole:= 'arn:aws:iam::123123123123:role/myredshiftrole' IAM credentials via an IAM Role to access the S3 bucket and Redshift ODBC credentials to execute SQL commands. You can use any select statement in the UNLOAD command that Amazon Redshift supports, except for a select that uses a LIMIT clause in the outer select. S3_path:= 's3://bhuvi-datalake/clicksteam/' UNLOAD automatically encrypts data files using Amazon S3 server-side encryption (SSE-S3). Encryption UNLOAD output files are encrypted. For more information, see Identifying query output files. Both files are saved to your Athena query result location in Amazon S3. The manifest tracks the files that the query wrote. Sql:= 'select * from '||v_tablename|| '' Metadata and manifest files Athena generates a metadata file and data manifest file for each UNLOAD query. So its important that we need to make sure the data in S3 should be partitioned. In BigData world, generally people use the data in S3 for DataLake. Redshift unload is the fastest way to export the data from Redshift cluster. Parquet format is up to 2x faster to unload and consumes up to 6x less storage in Amazon S3, compared with text formats. RedShift Unload to S3 With Partitions - Stored Procedure Way. Select extract( day from GETDATE()) into un_day You can unload the result of an Amazon Redshift query to your Amazon S3 data lake in Apache Parquet, an efficient open columnar storage format for analytics. Select extract( month from GETDATE()) into un_month LANGUAGE plpgsql AS $$ DECLARE starttime datetime īEGIN select extract( year from GETDATE()) into un_year CREATE OR REPLACE PROCEDURE sp_unload(v_tablename varchar)
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