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All posts by Daniel Westermann

Daniel Westermann
Senior Consultant and Technology Leader Open Infrastructure

Daniel Westermann has more than 10 years of experience in management, engineering and optimization of databases and infrastructures. He is specialized in Oracle Technologies as Performance Optimization and Tuning, Standardization, Backup & Recovery, in High Avaibility solutions as Oracle Real Application Clusters (RAC), Oracle Data Guard, Oracle Grid Infrastructure, as well as in storage technologies as Oracle Automatic Storage Management (ASM). Daniel Westermann is Oracle Certified Professional 10g/11g/12c. He is also a PostgreSQL Plus 9.0 Professional and a Postgres Advanced Server 9.4 Professional. Prior to dbi services, Daniel Westermann was Management System Engineer at LC SYSTEMS-Engineering AG in Basel. Before that, he worked as Oracle Developper & Project Manager at Delta Energy Solutions AG in Basel (today Powel AG). Daniel Westermann holds a diploma in Business Informatics (DHBW, Germany). His branch-related experience mainly covers the pharma industry, the financial sector, energy, lottery, telecommunications.
Daniel Westermann

Variations on 1M rows insert(2): commit write – PostgreSQL

By | Development & Performance | No Comments

Franck was quite fast with his second post Variations on 1M rows insert(2): commit write. Lets see what we can do on the PostgreSQL side. I’ll take the same test table as Franck again: create table DEMO (“id” number , “text” varchar2(15), “number” number) ; The pgplsql block which corresponds to Frank’s plsql block looks like this: \timing on truncate table DEMO; DO $$DECLARE l_people_array varchar(15)[12] := ‘{“Marc”, “Bill”, “George”, “Eliot”, “Matt”, “Trey”, “Tracy”,”Greg”, “Steve”,…

 
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Daniel Westermann

Variations on 1M rows insert (1): bulk insert – PostgreSQL

By | Development & Performance | No Comments

When I read Franck’s post about Variations on 1M rows insert (1): bulk insert I thought doing quite the same in PostgreSQL might be interesting. Lets start by using the same test tables, one using a primary key and the other one without a primary key:create table DEMO (“id” int , “text” varchar(15), “number” int); create table DEMO_PK (“id” int , “text” varchar(15), “number” int, constraint demo_pk_pk primary key (id) ) ; postgres=# \d demo*…

 
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