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name Punditsdkoslkdosdkoskdo

How to perform sql “LIKE” operation on firebase?

I am using firebase for data storage. The data structure is like this:

products:{
   product1:{
      name:"chocolate",
   }
   product2:{
      name:"chochocho",
   }
}

I want to perform an auto complete operation for this data, and normally i write the query like this:

"select name from PRODUCTS where productname LIKE '%" + keyword + "%'";

So, for my situation, for example, if user types "cho", i need to bring both "chocolate" and "chochocho" as result. I thought about bringing all data under "products" block, and then do the query at the client, but this may need a lot of memory for a big database. So, how can i perform sql LIKE operation?

Thanks

Update: With the release of Cloud Functions for Firebase, there's another elegant way to do this as well by linking Firebase to Algolia via Functions. The tradeoff here is that the Functions/Algolia is pretty much zero maintenance, but probably at increased cost over roll-your-own in Node.

There are no content searches in Firebase at present. Many of the more common search scenarios, such as searching by attribute will be baked into Firebase as the API continues to expand.

In the mean time, it's certainly possible to grow your own. However, searching is a vast topic (think creating a real-time data store vast), greatly underestimated, and a critical feature of your application--not one you want to ad hoc or even depend on someone like Firebase to provide on your behalf. So it's typically simpler to employ a scalable third party tool to handle indexing, searching, tag/pattern matching, fuzzy logic, weighted rankings, et al.

The Firebase blog features a blog post on indexing with ElasticSearch which outlines a straightforward approach to integrating a quick, but extremely powerful, search engine into your Firebase backend.

Essentially, it's done in two steps. Monitor the data and index it:

var Firebase = require('firebase');
var ElasticClient = require('elasticsearchclient')

// initialize our ElasticSearch API
var client = new ElasticClient({ host: 'localhost', port: 9200 });

// listen for changes to Firebase data
var fb = new Firebase('<INSTANCE>.firebaseio.com/widgets');
fb.on('child_added',   createOrUpdateIndex);
fb.on('child_changed', createOrUpdateIndex);
fb.on('child_removed', removeIndex);

function createOrUpdateIndex(snap) {
   client.index(this.index, this.type, snap.val(), snap.name())
     .on('data', function(data) { console.log('indexed ', snap.name()); })
     .on('error', function(err) { /* handle errors */ });
}

function removeIndex(snap) {
   client.deleteDocument(this.index, this.type, snap.name(), function(error, data) {
      if( error ) console.error('failed to delete', snap.name(), error);
      else console.log('deleted', snap.name());
   });
}

Query the index when you want to do a search:

<script src="elastic.min.js"></script>
 <script src="elastic-jquery-client.min.js"></script>
 <script>
    ejs.client = ejs.jQueryClient('http://localhost:9200');
    client.search({
      index: 'firebase',
      type: 'widget',
      body: ejs.Request().query(ejs.MatchQuery('title', 'foo'))
    }, function (error, response) {
       // handle response
    });
 </script>

There's an example, and a third party lib to simplify integration, here.

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