Perhaps it’s time for a faster, bigger, more feature rich, more extensible or more affordable search engine? A migration requires good and structured planning and deep knowledge of the existing solution as well as the target technology.

With almost 10 years of full-time, hands-on consulting experience within all kinds of enterprise search solutions, Jan Høydahl at Cominvent has what it takes. See our new migration page for more info.

As a part of that planning process, we have decided that in order to deliver more innovation per release in the future, the 2010 products will be the last to include a search core that runs on Linux and UNIX.

This should not be a shock to anyone, and I hinted to this danger in my blog post about the acquisition:

Let us not hope that the Linux, AIX and Solaris versions will be discontinued. I don’t expect that to happen in the short term, as the press release clearly states that they will be supported…

I guessed back then that Linux support would continue for another five years, but it turned out to be less than two While it is an expected and understandable, I think we all hoped that the press release following the acquisition hinted for a new, more open policy from the software giant, but that turned out to be too optimistic. But existing customers are not left completely alone; Olstad continues:

We will support ESP 5.3—the cross-platform search core in the 2010 products—for 10 years as per our standard support policy (5 years mainstream support and 5 years extended support).  Non-Windows customers on ESP 5.3 can continue running their core on Linux and UNIX and add Windows-only innovations or cloud-based services by using a mixed-platform architecture.

Many search consultant with experience from FAST ESP have experienced that the product is more capable under Linux than under Windows when you start pushing the boundaries. ESP is also easier to manage on a Linux platform due to SSH and friends. But that is not the major selling point anyway.

What this will mean for the existing and potential future customers is hard to predict. Obviously some organizations, especially smaller ones, demand Linux only in their data centers – these will start looking for another vendor.  Some of the bigger companies already have mixed environments and will easily be able to migrate, and may be happy.

Last but not least, the hint of cloud-support from the blog post opens another opportunity for existing customers running on Linux: Outsource the whole search hosting to Microsoft and don’t worry about the servers or OS at all. This may be the best option for many? Expect to see more references to hosted search going forward!

The training material, developed by Lucid Imagination, is recently updated to cover Solr 1.4, plus some additional contrib features like Carot2 clustering. The handout comprises more than 400 slides, but fear not – there are plenty of labs and room for Q&A and discussions, which makes the pace comfortable.

Soon to come is an advanced training class covering more complex issues such as performance tuning, scaling, plugin development etc. Stay tuned!

Read more at www.solrtraining.com and also follow us on Twitter.

Wrong. Maybe you did not know it, but the official Solr 1.4 release can easily be extended with loads of so called “Patches”. A “patch” is normally referred to as something fixing a problem and is perhaps not a good name for extra functionality, but that’s the way it works in the Apache world.

Patch SOLR-773 adds local search to Solr, enabling stuff like

• Only consider results closer than 50km from me (filter)
• Sort the resturant hits by distance from my location
• Rank restaurant hits by user ratings, but boost those in walking distance a bit

To learn more, view a recording of Grant Ingersoll’s excellent webcast on TheServerSide, where he explains more and also talks to YP.com and a GIS company about their experiences with GEO search in Solr.

I could have compiled the source from scratch, but a quick search gave this page from Gdgt providing a VMWare image of a complete install of Chrome OS. So I created a new virtual machine in VMWare Fusion on my MacBook, selected “Other Linux 2.6.x kernel” as OS type and poited it to the .vmdk disk image. See Figure 1 for how that looks.

Figure 1: VMWare Fusion with Chrome OS VM

After powering on the VM, it virtually took only 8 seconds for it to boot into the login screen. Here you fill in a valid Google login, e.g. a GMail address:

Then wait another 9 seconds for the Chrome browser to show up, already logged in to your GMail account. Nice. Everything in Chrome OS are web apps, and the Chrome browser shows App tabs differently than normal web page tabs. This is a nice and clean idea. Signing in to an OS with a web-based user name and password feels strange, but hey, it just works! And if you’re without internet connection, you can still sign in with an account that you’ve used before!

From here, browsing works like normal. You can create tabs, windows, switch between windows with Alt-TAB etc. In the upper righthand corner are some icons which provides you with some menus for battery status, WiFi and network connection and a general menu with access to options etc.

I was unable to test WiFi since my VMWare only provides ethernet to the local OS. I also tried to start the leftmost tab which is supposed to be a quick-launch for Web Apps, but it requires a <user>@google.com account which I don’t have, so I don’t know how to do that:

Glitches

This being an early pre-release of the OS one year before the launch of the first public version, no wonder there are some way to go still. Here are some of the minor issues I found

1. Not possible to change locale in login screen. U.S. keyboard layout is default., which means Norwegians need to search for the @ key and others.
2. Loggin in to a “Google Apps for Domains” account, auto-login to mail and calendar gets lost.
3. The quick-launch tab to the left does not let me login with a GMail account…
4. The whole thing just freezes sometimes Could be due to VMWare?

Read more

Here are a few articles I found useful

• GDGT: Download Google Chrome OS
• Live Blog: The Google Chrome OS Press Event
• PCWorld: Google Chrome OS: Visual Tour

Apache Solr 1.4 has been released and is now available for
public download! http://www.apache.org/dyn/closer.cgi/lucene/solr/

Solr is the popular, blazing fast open source enterprise search
platform from the Apache Lucene project. Its major features include
powerful full-text search, hit highlighting, faceted search,
dynamic clustering, database integration, and rich document (e.g.,
Word, PDF) handling. Solr is highly scalable, providing distributed
search and index replication, and it powers the search and
navigation features of many of the world’s largest internet sites.

Solr is written in Java and runs as a standalone full-text search
server within a servlet container such as Tomcat. Solr uses the
Lucene Java search library at its core for full-text indexing and
search, and has REST-like HTTP/XML and JSON APIs that make it easy
to use from virtually any programming language. Solr’s powerful
external configuration allows it to be tailored to almost any type
of application without Java coding, and it has an extensive plugin
architecture when more advanced customization is required.

New Solr 1.4 features include
- Major performance enhancements in indexing, searching, and
  faceting
- Revamped all-Java index replication that’s simple to configure
  and can replicate config files
- Greatly improved database integration via the DataImportHandler
- Rich document processing (Word, PDF, HTML) via Apache Tika
- Dynamic search results clustering via Carrot2
- Multi-select faceting (support for multiple items in a single
  category to be selected)
- Many powerful query enhancements, including ranges over arbitrary
  functions, and nested queries of different syntaxes
- Many other plugins including Terms for auto-suggest, Statistics,
  TermVectors, Deduplication

Getting Started
---------------
New to Solr? Follow the steps below to get up and running ASAP.

1. Download Solr at http://www.apache.org/dyn/closer.cgi/lucene/solr/
2. Check out the tutorial at http://lucene.apache.org/solr/tutorial.html
3. Read the Solr wiki (http://wiki.apache.org/solr) to learn more
4. Join the community by subscribing to solr-user@lucene.apache.org
5. Give Back (Optional, but encouraged!)
   See http://wiki.apache.org/solr/HowToContribute

For more information on Apache Solr, see http://lucene.apache.org/solr

Release-declaration sourced from Grant Ingersoll’s blog.

Cominvent delivers training on Solr 1.4.

So why leave Apple’s iTunes out in the cold? This is of course part of a battle of online digital music. Although some were guessing that Google were planning its own music service, partnering up with and helping the most innovative services out there may be a just as efficient move, if they manage to get people used to search for music in Google instead of through iTunes. Yes, some of these services let you purchase music as well as listen online.

I could not find any info on when this service is expected to Norway, if ever. I guess that would be with other partners since Rhapsody for one is U.S. only But we surely welcome all competition in this space, as the industry gets used to better models and cheaper music for us consumers.

After doing a normal image search, many of the results will let you click “find similar” (see illustration), bringing similar images. I tried it with the pyramids in Egypt which worked well. Searching for “laptop” brings up many different brands, and clicking similar on a MacBook really brings up other macbooks, on a Dell brings up other Dells (mostly) and on a Vaio brings up other Vaio’s.

I remember that FAST had similar capabilities even 5 years ago, which was piloted in a few showcases and select customer installations. For instance it was utilized for various Police departments to reveal child pornography on the internet. Now Google brings the same kind of technology to the masses, making search one step easier for all of us. Bravo!

However, when designing a tighter integrated, more real-time search, they turned to Apache Solr. On their blog they say

“…our search engine is now powered by SOLR, an incredible open source project that will allow us to provide higher quality and more up-to-date opportunities.”

What a super testimony for Solr’s strenths and maturity!

For years we’ve had books about Lucene, and now comes the first book about Apache Solr as well, titled Solr 1.4 Enterprise Search Server.

The book is written by David Smiley and Eric Pugh and is available for pre-order from Amazon. We’ll  post a review once we’ve read it. Until then, read more about the book from the authors at Amazon.

Update: Packt Publishing is sending me a copy of the book, and if you order it from this link I’ll even get a share