http://www.dsxchange.com/viewtopic.php?t=151926 WebJan 31, 2024 · Datastage is an ETL tool which extracts data, transform and load data from source to the target. ... The SQL script will do various operations like Update, Insert and delete on both tables (PRODUCT, …
Oracle - Upsert (Update then Insert) - DSXchange
WebJun 30, 2024 · Solved by creating two streams and two separate merge statements. merge into target_table using source_table on target_table.id = source_table.id when matched and condition = 1 then update set target_table.description = source_table.description when matched and condition != 1 then update set target_table.description = … WebJun 20, 2024 · 1. In general, insert s are faster than update s and delete s because new records can just be added "at the end of the table", which minimizes locking. Of course, this can be altered by the presence of indexes and triggers. That suggests that the solution just doing inserts sounds better. However, the two are not the same. fnaf 4 inside the closet
Simple DataStage Job using IF THEN ELSE condition in …
WebAn UPDATE will update in-situ and you'll have a less expensive INSERT because there is less rows. Saying that... If your new:update is 100:1 then it doesn't really matter of … WebMar 30, 2005 · Another job then runs through this sequential file and feeds the output to an MSOLEDB update stage to update the new element in each row. When done, it regenerates the CRC hash file so that I don't get a huge set of inserts on the next run of the ETL. I am using an "Update existing records only" Input Action on the update stage. WebJul 11, 2007 · Oracle - Upsert (Update then Insert) I created a job that reads an Excel CSV file through the Sequential Stage, I transform some of the input data and use the Upsert (Update then Insert) to load the Oracle table. On the first run, the job run normally and Inserts all the records. If I run the job again, the runs very slow. fnaf 4 is the scariest