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If yours is one of many companies with virtual desktop deployments, I probably don’t have to sing its praises. You already know how easy it is to manage virtual desktops from a central location, and the money that can be saved by extending the life of aging PCs by using them to access corporate apps and data stored in data centers. And how much more secure your environment is because sensitive information is no longer on workers’ physical desktops.

The question I continually hear from VDI users—most of whom deployed VDI the traditional on-premises way— is, what’s the best way to go about expanding existing deployments for new use cases?

These days, more and more businesses are considering DaaS, or cloud-hosted virtual desktops and apps. DaaS enables you to.....

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I have just heard of a massive outage that a localized IaaS Cloud Service Provider is experiencing: they have been down (at the time I am drafting this short blog post) 4 days and counting. When I get to publish this it may be they have been down 4 days or… god . . . → Read More: (IaaS) Cloud Outages: Get Over It

Introducing HypoPG

Paris, June 24 2015

DALIBO is proud to present the first release of HypoPG, an extension that adds hypothetical indexes in PostgreSQL.

An hypothetical index is an index which doesn't exists on disk. It's thefore almost instant to create and doesn't add any IO cost, wether at creation time or at maintenance time. The goal is obviously to check if an index is useful before spending many time, I/O and disk space to create it.

With this extension, you can create hypothetical indexes, and then with EXPLAIN check if PostgreSQL would use them or not.

" What if I had an Index on this ? "

Did you ever wonder how an index would increase the performances of your server, but you couldn't afford the time to create it on disk just for the sake of trying ?

Here's how HypoPG can help:

First let's create a simple use case:

# CREATE TABLE testable AS SELECT id, 'line ' || id val FROM generate_series(1,1000000) id;
# ANALYZE testable ;

Now let's install HypoPG and create an hypothetical index on this new table

# CREATE EXTENSION hypopg;
# SELECT hypopg_create_index('CREATE INDEX ON testable (id)');

You can now use EXPLAIN (without ANALYZE) to check if PostgreSQL would use that index !

# EXPLAIN SELECT * FROM testable WHERE id = 1000 ;
                                          QUERY PLAN
-----------------------------------------------------------------------------------------------
 Index Scan using 41079_btree_testable_id on testable  (cost=0.05..8.07 rows=1 width=15)
   Index Cond: (id = 1000)
(2 rows)

Yay ! If there were an index on the 'id' column, PostgreSQL would take advantage of it !

Links

• Repository : github.com/dalibo/hypopg
• Install with PGXN : pgxn.org/dist/hypopg

About DALIBO :

DALIBO is the leading PostgreSQL company in France, providing support, trainings and consulting to its customers since 2005. The company contributes to the PostgreSQL community in various ways, including : code, articles, translations, free conferences and workshops

Check out DALIBO's open source projects at http://dalibo.github.io.

http://www.dalibo.com

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