I'm very beginner.
I want to make a information management system using Go language on Google App Engine.
Users will create, edit, delete and search entities.
I have navigated GAE site, but could not find 'partial text search' on Datastore.
Partial text search, I mean, search entities contain 'partial text' entered.
Or, can you give me a tip to make such a system. (for free)
Very Sorry for low-grade question.
You can't do this with the datastore, you need to use the full-text search API. Unfortunately, that is not yet available with Go: apparently the best way to use it is to set up a module in your app that uses Python2.7, and exposes the search functionality.
Related
Does Google Cloud Platform have a product to do full-text search via an API with non-web data (such as json or xml documents)? This may seem like a pretty silly question, but the only options I have come across are:
Search inside of Google App Engine (only available for python2, not python3) -- https://cloud.google.com/appengine/training/fts_intro/.
Related to web search only: https://developers.google.com/custom-search/docs/tutorial/introduction
Using a managed Elasticsearch: https://console.cloud.google.com/marketplace/details/google/elasticsearch.
Cloud firestore explicitly states it doesn't offer that and suggests using Aloglia (and gives details on integrating): https://cloud.google.com/firestore/docs/solutions/search
Is there something I'm missing? I'm basically looking to index and search about a million documents in a sort of free-form type of search. Is this offered as a product from Google outside of App Engine? If so, how can I access it?
You have pretty much covered it there. There is currently no specific Google service for full-text search. As you mentioned, App Engine Search API is available for Python 2.7, which will stop being maintained after January 2020, and not Python 3.
There is one more option you could consider, which is using Lucene foe GAE. I found this blog where several possibilities are studied, perhaps could be an interesting reading for you.
To sum up, I would recommend ElasticSearch or Aloglia, but for the latter you need a Firebase project.
We need to integrate a search engine in our plataform Catalog management software in Share point. The information is stored in multiple databases and a storage of files ( doc , ppt , pdf .....). Our dev platform is Asp.Net and we have done some pre-liminary work on Lucene, found it to be good. However, we just came to know of Solr.
We need to continue using lucene, but we need to defend her the solr.
Please any help is accepted.
And sorry for my english.
Lucene is a full-text search library used to provide search functionalities to an application. It can't be used as an application by itself. Solr is a complete search engine built around Lucene providing its search functionalities and others. Solr is a web application that can be used by itself without any development around it.
If you need a search engine to be called by your application I recommend you to use Solr.
Okay, i'm building a search engine based on urls stored in a database
| link_id || link_url || link_tags| <== schema
link_tags for a site say w3schools.com represent [web-design,html,php,js] etc..
and the database(MySql) has like 10,00,000+ rows
Now, i need them to be searchable by a search engine which also takes the link_tags into consideration while processing queries such as "best html tutorial" to return optimal results, also the entire web content of each url would also need to be stored to generate additional input to the engine based on keywords.
Which opensource search engine or any previous implementation should i be looking at to acheive this?
There is a small opensource search engine here. It is written in php and uses mysql. it my be able to be stretched for your needs.
I want to develop an web app for storing enterprises' information, so this info can be searched by keywords as by category, but principally by keywords, because the interface it's going to be as simple a Google. The doubt I have is, is it better to store this info in a database or in text files?
If you want full text search, probably neither. You should look into a search index such as Elasticsearch (http://www.elasticsearch.org/overview/). A search index stores data in a way that is optimized for searching.
I am currently working on project where we want to take SKOS and plug it into a search engine to make the search results better. An example of this would be something like Semaphore Smartlogic (closed, not free, too big to partner with).
Searchblox is a very good, free, configurable, lucene/solr search engine, but it does not have SKOS abilities and is not open source.
Constellio is similar to Searchblox (not quite as good), and claims to be working on accepting SKOS, but I can't get it to function properly.
Before I go and build this: Does anyone know of an existing free search engine that has has the ability to accept SKOS? Or, does any know of an open source Lucene/Solr search engine like Searchblox that I could add this functionality to quickly?
You know Solr is a search engine on it's own? Check http://wiki.apache.org/solr/ for more info.
A Google search led me to http://code.google.com/p/lucene-skos/wiki/HowTo
Not the most active project, but I guess a good start.
Should't have to be too hard to combine the 2 into the solution you need.
I am not sure if SIREn supports SKOS, but it is a semantic lucene plugin that may be worth checking out.