![]() Step zero, if like me you are behind a corporate proxy, is to configure your Python pip to go on internet by creating the /etc/pip. PgAdmin that is one of the most famous free and open source PostgreSQL monitoring tool. Looking at the free and open source products available out there I tend to say that it sounds difficult to me for paid competition… I will also mainly focus on on-premise product as our databases are mostly on-premise. A quick and safe fix would be to move that code to ctlSqlGrid.cpp, after the SetDefaultRowSize (fntCells.GetPointSize () 2) lines in both the constructor and the OnMouseWheel method, making the frmEditGrid and frmQuery grids look the same. If trial keys are available I also plan to add other commercial products. The plan is also to compare them versus the commercial offer of EnterpriseDB: PostgreSQL Enterprise Manager. I plan to start small this blog post and enrich it if I test new monitoring tools in future. This blog post will be on PostgreSQL monitoring tools as this is the most appealing part and is the part that helps you not to be blind in front of problems… So I have decided to start to have a look and increase my knowledge on enterprise features that are key for us: Remember to change TABLENAME to the relevant table. So far this is not yet a goal for us and we just aim to stick to community PostgreSQL and increase our internal knowledge before going further… Created OnSeptember 2, 2018byIan Carnaghan Print Knowledge Base Databases PostgreSQL How to increase the length of a character varying datatype in Postgres without data loss Run the following command: alter table TABLENAME alter column COLUMNNAME type character varying(120) This will extend the character varying column field size to 120. With the clear goal to reduce your Oracle fees in migrating to EnterpriseDB. ![]() In parallel of PostgreSQL community edition you might have heard about Enterprise DB that propose a commercial offer on PostgreSQL said to be compatible with Oracle. ![]() So far this is not part of our IT standards but fact is that that few applications already started to use it. Monitoring tools is part of our journey to slowly but constantly increasing our internal expertise on PostgreSQL.
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