57.4% of total timeĪrchive target stage files. RedShift Table loaded: UploadData data took total 5.1182928 sec
#REDSHIFT MYSQL ARCHIVE#
Loaded total 500 rows, 1 files, total 501 lines scannedĭeleted cloud storage files because Archive method is set to Delete filesĬloud storage stage files archived. Truncating target table "public"."customerdata" because TruncateTargetBeforeLoad option is turned onĬOPY "public"."customerdata" FROM 's3://bwtest-west2/public_customerdatabQCW_xcx0E6KdOIts4YZdQ.manifest' credentials 'aws_access_key_id=xxxxxxx aws_secret_access_key=yyyyyyyy' GZIP DELIMITER '|' DATEFORMAT 'YYYY-MM-DD HH24:MI:SS' TIMEFORMAT 'YYYY-MM-DD HH24:MI:SS' IGNOREHEADER 1 MANIFEST REGION 'us-west-2'Ĭompleted redshift bulk insert. Ĭ:\datafiles\public_customerdatabQCW_.gz Transferred 100% (8837 bytes)ĭeleted local file C:\datafiles\public_customerdatabQCW_.gz because DeleteWhenDone option is enabled Uploading C:\datafiles\public_customerdatabQCW_.gz. New file created at bwtest-west2/public_customerdatabQCW_xcx0E6KdOIts4YZdQ.manifest, Size=119 bytes Public_customerdatabQCW_xcx0E6KdOIts4YZdQ.manifest Transferred 100% (119 bytes) Uploading data files to S3 using total threads.
Took 0.115 seconds for 500 records, 1 filesĬompressing data files.Ĭompress data files completed. Total 500 records written to : C:\datafiles\public_customerdatabQCW_Įxport data completed. You can reference these temporary tables in the FROM clause. Each common table expression (CTE) defines a temporary table, which is similar to a view definition. 2.Copy or move those unloaded files into EC2 instance local server. The WITH clause defines one or more commontableexpressions. 1.Unload the Redshift tables to Amazon S3 as CSV files. Writing data to : C:\datafiles\public_customerdatabQCW_ A WITH clause is an optional clause that precedes the SELECT list in a query. Įxecuting query - select top 500 ROW_NUMBER()Over(order by a.CustomerID) Id, a.*,b.*,c.OrderID,c.OrderDate,c.Freight from customers a,products b,orders c select qa.userid as useremail, max (i.timestamp) as sessionlogintime, qa.timestamp as questionasktime, qa.questionid, qa.question from schema1.question as qa left join er as i on qa.userid i.email and i.timestamp < qa.
#REDSHIFT MYSQL LICENSE#
LICENSE Found: You are running Standard Edition. I guess that should get you the same results without involving a sub query.
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