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 meantime, 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.
I believe you can do :
admin
.database()
.ref('/vals')
.orderByChild('name')
.startAt('cho')
.endAt("cho\uf8ff")
.once('value')
.then(c => res.send(c.val()));
this will find vals whose name are starting with cho.
source
The elastic search solution basically binds to add set del and offers a get by wich you can accomplish text searches.
It then saves the contents in mongodb.
While I love and reccomand elastic search for the maturity of the project, the same can be done without another server, using only the firebase database.
That's what I mean:
(https://github.com/metaschema/oxyzen)
for the indexing part basically the function:
JSON stringifies a document.
removes all the property names and JSON to leave only the data
(regex).
removes all xml tags (therefore also html) and attributes (remember
old guidance, "data should not be in xml attributes") to leave only
the pure text if xml or html was present.
removes all special chars and substitute with space (regex)
substitutes all instances of multiple spaces with one space (regex)
splits to spaces and cycles:
for each word adds refs to the document in some index structure in
your db tha basically contains childs named with words with childs
named with an escaped version of "ref/inthedatabase/dockey"
then inserts the document as a normal firebase application would do
in the oxyzen implementation, subsequent updates of the document ACTUALLY reads the index and updates it, removing the words that don't match anymore, and adding the new ones.
subsequent searches of words can directly find documents in the words child. multiple words searches are implemented using hits
SQL"LIKE" operation on firebase is possible
let node = await db.ref('yourPath').orderByChild('yourKey').startAt('!').endAt('SUBSTRING\uf8ff').once('value');
This query work for me, it look like the below statement in MySQL
select * from StoreAds where University Like %ps%;
query = database.getReference().child("StoreAds").orderByChild("University").startAt("ps").endAt("\uf8ff");
I am trying to pass a object { key:value} and send it to meteor publish so i can query to database.
My Mongo db database has (relevant datas only) for products:
products : {
categs:['Ladies Top','Gents'],
name : Apple
}
In meteor Publish i have the following:
Meteor.publish('product', (query) =>{
return Clothings.find(query);
})
In client i use the following to subscribe:
let query = {categs:'/ladies top/i'}; // please notice the case is lower
let subscribe = Meteor.subscribe('product',query);
if (subscribe.ready()){
clothings = Products.find(query).fetch().reverse();
let count = Products.find(query).fetch().reverse().length; // just for test
}
The issue is, when i send the query from client to server, it is automatically encoded eg:
{categs:'/ladies%top/i'}
This query doesnot seem to work at all. There are like total of more than 20,000 products and fetching all is not an option. So i am trying to fetch based on the category (roughly around 100 products each).
I am new to ,meteor and mongo db and was trying to follow existing code, however this doesnot seem to be correct. Is there a better way to improve the code and achieve the same ?
Any suggestion or idea is highly appreciated.
I did go through meteor docs but they dont seem to have examples for my scenario so i hope someone out there can help me :) Cheers !
Firstly, you are trying to send a regex as a parameter. That's why it's being encoded. Meteor doesn't know how to pass functions or regexes as parameters afaict.
For this specific publication, I recommend sending over the string you want to search for and building the regex on the server:
client:
let categorySearch = 'ladies top';
let obj = { categorySearch }; // and any other things you want to query on.
Meteor.subscribe('productCategory',obj);
server:
Meteor.publish('productCategory',function(obj){
check(obj,Object);
let query = {};
if (obj.categorySearch) query.category = { $regex: `/${obj.categorySearch}/i` };
// add any other search parameters to the query object here
return Products.find(query);
});
Secondly, sending an entire query objet to a publication (or Method) is not at all secure since an attacker can then send any query. Perhaps it doesn't matter with your Products collection.
I configured different firebase functions by following this
. Now in this, there is firebase full-text search. I tried to follow it but it seems to be incomplete. I have searched and somehow got success in deploying. But it is still not creating index in Algolia. Can someone tell me the steps to correctly perform this?
I created the blog-posts and search nodes in my firebase project but problem is still there.
CODE:
'use strict';
const functions = require('firebase-functions');
const admin = require('firebase-admin');
admin.initializeApp(functions.config().firebase);
// Authenticate to Algolia Database.
// TODO: Make sure you configure the `algolia.app_id` and `algolia.api_key` Google Cloud environment variables.
const algoliasearch = require('algoliasearch');
const client = algoliasearch(functions.config().algolia.app_id, functions.config().algolia.api_key);
// Name fo the algolia index for Blog posts content.
const ALGOLIA_POSTS_INDEX_NAME = 'blogposts';
// Updates the search index when new blog entries are created or updated.
exports.indexentry = functions.database.ref('/blog-posts/{blogid}/text').onWrite(event => {
const index = client.initIndex(ALGOLIA_POSTS_INDEX_NAME);
const firebaseObject = {
text: event.data.val(),
objectID: event.params.blogid
};
return index.saveObject(firebaseObject).then(
() => event.data.adminRef.parent.child('last_index_timestamp').set(
Date.parse(event.timestamp)));
});
// Starts a search query whenever a query is requested (by adding one to the `/search/queries`
// element. Search results are then written under `/search/results`.
exports.searchentry = functions.database.ref('/search/queries/{queryid}').onWrite(event => {
const index = client.initIndex(ALGOLIA_POSTS_INDEX_NAME);
const query = event.data.val().query;
const key = event.data.key;
return index.search(query).then(content => {
const updates = {
'/search/last_query_timestamp': Date.parse(event.timestamp)
};
updates[`/search/results/${key}`] = content;
return admin.database().ref().update(updates);
});
});
SEE IMAGE OF FIREBASE NODE
Open Image
Your help will be appreciated. Thanks
So I used the sample code provided here and placed it into a Firebase cloud function. Writing to '/blog-posts/{blogid}/text' inside the database should index whatever value is under text to Algolia.
There are a few things that might be going wrong here:
Check that your function is correctly placed into Firebase. You can do this from the console by clicking functions on the left side. You should see two functions named indexentry and searchentry. If you do not see those functions then you haven't correctly pushed your code to the Firebase cloud.
If you code is in Firebase cloud then I recommend adding console.log("write on blog-posts fired"); to your searchentry function. Then write some more data to your database under '/blog-posts/{blogid}/text'. You can check the function log in the Firebase console. I have noticed a slight delay in log records displaying some times, so be patient if you don't see it right away. I'd write a few pieces of data to '/blog-posts/{blogid}/text' then after a couple minutes I'd check the log. If the log has "write on blog-posts fired" in it then you know the function is being activated when you write to the database.
If all the above is operating correctly and you still don't have any data in Algolia then make sure you set your API keys. You can do this using the code firebase functions:config:set algolia.app_id="myAlgoliaAppId" algolia.api_key="myAlgoliaApiKey". You run this command in a terminal window inside the directory where you have your Firebase cloud functions. You can get you API keys by signing into your account. Remember not to share your API key with anyone.
I am new to firebase and I am having a bit of a nightmare trying to adapt old code to what is now deprecated and what is not. I am trying to write a function which updates one "single" record in my datasource using the now approved $save()promise but it is doing some really strange stuff to my data source.
My function (should) enables you to modify a single record then update the posts json array. However, instead of doing this, it deletes the whole datasource on the firebase server and it is lucky that I am only working with testdata at this point because everything would be gone.
$scope.update = function() {
var fb = new Firebase("https://mysource.firebaseio.com/Articles/" + $scope.postToUpdate.$id);
var article = $firebaseObject(ref);
article.$save({
Title: $scope.postToUpdate.Title,
Body: $scope.postToUpdate.Body
}).then(function(ref) {
$('#editModal').modal('hide');
console.log($scope.postToUpdate);
}, function(error) {
console.log("Error:", error);
});
}
Funnily enough I then get a warning in the console "after" I click the button:
Storing data using array indices in Firebase can result in unexpected behavior. See https://www.firebase.com/docs/web/guide/understanding-data.html#section-arrays-in-firebase for more information. Also note that you probably wanted $firebaseArray and not $firebaseObject.
(No shit?) I am assuming here that $save() is not the right call, so what is the equivalent of $routeParams/$firebase $update()to do a simple binding of the modified data and my source? I have been spending hours on this and really don't know what is the right solution.
Unless there's additional code that you've left out, your article $firebaseObject should most likely use the fb variable you created just before it.
var article = $firebaseObject(fb);
Additionally, the way in which you're using $save() is incorrect. You need to modify the properties on the $firebaseObject directly and then call $save() with no arguments. See the docs for more.
article.Title = $scope.postToUpdate.Title;
article.Body = $scope.postToUpdate.Body;
article.$save().then(...
Tryng to get a simple result using "Where" style in firebase but get null althe time, anyone can help with that?
http://jsfiddle.net/vQEmt/68/
new Firebase("https://examples-sql-queries.firebaseio.com/messages")
.startAt('Inigo Montoya')
.endAt('Inigo Montoya')
.once('value', show);
function show(snap) {
$('pre').text(JSON.stringify(snap.val(), null, 2));
}
Looking at the applicable records, I see that the .priority is set to the timestamp, not the username.
Thus, you can't startAt/endAt the user's name as you've attempted here. Those are only applicable to the .priority field. These capabilities will be expanding significantly over the next year, as enhancements to the Firebase API continue to roll out.
For now, your best option for arbitrary search of fields is use a search engine. It's wicked-easy to spin one up and have the full power of a search engine at your fingertips, rather than mucking with glacial SQL-esque queries. It looks like you've already stumbled on the appropriate blog posts for that topic.
You can, of course, use an index which lists users by name and stores the keys of all their post ids. And, considering this is a very small data set--less than 100k--could even just grab the whole thing and search it on the client (larger data sets could use endAt/startAt/limit to grab a recent subset of messages):
new Firebase("https://examples-sql-queries.firebaseio.com/messages").once('value', function(snapshot) {
var messages = [];
snapshot.forEach(function(ss) {
if( ss.val().name === "Inigo Montoya" ) {
messages.push(ss.val());
}
});
console.log(messages);
});
Also see: Database-style queries with Firebase